SlideShare a Scribd company logo
1 of 49
Download to read offline
TWO BIRDS AND ONE STONE: PURPOSEFUL POLYSEMY IN MINORITY
            TARGETING AND ADVERTISING EVALUATIONS




                                          Stefano Puntoni1

                                         Assistant Professor

                                        Erasmus University



                                         Joelle Vanhamme2

                                         Assistant Professor

                                        Erasmus University



                                         Ruben Visscher3, 4

                                               Unilever




1
  Rotterdam School of Management, Erasmus University, PO Box 1738, 3000 DR, Rotterdam, the
Netherlands. Tel.: +31104081184. Fax: +31104089011. E-mail: spuntoni@rsm.nl.
2
  IESEG School of Management, Lille Catholic University, Rue de la Digue 3, 59000 Lille, France. Tel.:
+33320545892. Fax: +33320574855. E-mail: j.vanhamme@ieseg.fr.
3
  Unilever, European Supply Management, Nassaukade 5, 3071 JL, Rotterdam, the Netherlands. Tel.:
+31104395506. Fax: +31104395781. E-mail: ruben.visscher@unilever.com.
4
  The authors thank the three anonymous reviewers and the editor for their comments and suggestions.
Authors are ranked alphabetically; they contributed equally.
Stefano Puntoni (Ph.D., University of London), Assistant Professor of Marketing,

Rotterdam School of Management, Erasmus University, spuntoni@rsm.nl.



Joelle Vanhamme (Ph.D., Catholic University of Louvain), Associate Professor of

Marketing, IESEG School of Management, Lille Catholic University,

j.vanhamme@ieseg.fr.



Ruben Visscher (M.Sc., Erasmus University), Market Intelligence, European Supply

Management, Unilever, ruben.visscher@unilever.com.
TWO BIRDS AND ONE STONE: PURPOSEFUL POLYSEMY IN MINORITY TARGETING
                   AND ADVERTISING EVALUATIONS


Abstract



Current social trends leading to greater consumer diversity require that advertisers pay increasing

attention to minority groups within society. This article answers recent calls for research into the

effects of purposeful polysemy, or strategic ambiguity, in minority targeting. The results of a

quasi-experiment with gay and heterosexual male respondents in the context of gay window

advertising not only demonstrate significant positive target market effects of covert minority

targeting (i.e., ambiguous ad cues) but also the existence of negative nontarget market effects.

Emotional responses fully mediate these effects. Our results further demonstrate the importance

of individual differences and product category by suggesting, for example, that gay men who are

open about their sexual orientation can be targeted using gay window ads when the product

category is congruent with male stereotypes and with mainstream ads when the product category

is incongruent with male stereotypes.




                                                 1
Consider an ad for a pair of jeans, depicting a man romantically kissing a woman. Then

imagine the same ad with two men romantically kissing each other. These source cues are

unambiguous representations of, respectively, heterosexual and gay relationships. Now, what if

instead of kissing each other, the two men in the ad were just standing next to each other? This

type of source cue would no longer provide an unambiguous portrayal of a gay relationship,

because the two men could be friends, relatives, or lovers.

       In this article, we explore target and nontarget market effects of covert minority targeting.

Following prior work in this area (e.g., Aaker, Brumbaugh, and Grier 2000), we define target

market effects as typically positive responses to an advertising message—in terms of attitude

toward the ad—among consumers who belong to the target segment. Similarly, we define

nontarget market effects as typically negative attitudinal responses to an ad among consumers

who are not targeted by the message. Existing research into the effect of target marketing on

target and nontarget markets generally focuses on the influence of unambiguous cues, such as a

black versus a white person portrayed in the ad (Aaker et al. 2000; Grier and Deshpandé 2001), a

romantically involved male couple (Bhat, Leigh, and Wardlow 1998; Oakenfull and Greenlee

2005), or a pink triangle with a gay and lesbian source (Aaker et al. 2000). This focus on

unambiguous markers of group membership assumes consumers’ conscious awareness of the

intended target of the ads (Brumbaugh and Grier 2006). In addition, by using salient visual cues

of group membership (e.g., dark skin, romantic behavior, symbols associated with a subculture),

previous literature relies on the implicit assumption that firms adopt overt targeting strategies.

       Although these assumptions may be warranted in many instances, nonacademic

marketing publications have long acknowledged that firms sometimes use ambiguous cues to

target multiple segments of consumers with the same message or for fear of alienating nontarget




                                                  2
consumers, especially in the case of stigmatized minorities (e.g., Greenlee 2004; Oakenfull 2004;

Stevens, Maclaran, and Brown 2003; Wilke 1997). In a recent exception to the general lack of

interest among academics in practitioners’ purposeful use of ambiguity in advertising

copywriting, Brumbaugh and Grier (2006) call for research into the effect of nonsalient physical

markers of group membership on the effectiveness of targeted advertising. We address this issue

by examining the effect of subtle and ambiguous visual cues on both target and nontarget market

effects. That is, we focus on cues open to multiple interpretations. The strategy of using

ambiguous cues in advertising messages to generate multiple meanings across a heterogeneous

audience entails purposeful polysemy (which we define in more detail subsequently). The two

men standing close to each other in the jeans ad is an example of purposeful polysemy in that

they may be interpreted as platonic friends or intimates, depending on the audience’s

interpretation.

       In a quasi-experiment, we assess how members of a subculture and of mainstream culture

react to ambiguous portrayals of models in advertising by comparing how gay and heterosexual

men respond to mainstream and gay window ads. Following previous literature (e.g., Bhat et al.

1998), we select gay and heterosexual male consumers as the target and nontarget markets,

respectively, and provide a study setting that is both theoretically and substantively interesting.

Heterosexual men tend to stigmatize gay men more than they stigmatize lesbians and, in general,

display more bias toward homosexuality than do heterosexual women (Herek and Capitanio

1999; Kite 1983). Thus, the nontarget market effects of covert minority targeting should be

especially strong in the specific population selected for our study. In addition, as any casual

glance at fashion and lifestyle magazines can attest, ambiguous representational practices hinting

at gay culture are common in advertising (Rohlinger 2002). The remainder of this article thus is




                                                  3
structured as follows: We first review relevant literature on purposeful polysemy and target and

nontarget market effects to develop a series of research hypotheses. We then present the results

of the empirical study and conclude with a discussion of implications for theory and practice.

                                             THEORY

Purposeful Polysemy in Advertising Targeting

       Research into the consequences of ambiguous ad cues tends to conceptualize ambiguity

as either a rhetorical device in advertising executions or a marketing gimmick. Literature

investigates the ambiguity of both textual (e.g., McQuarrie and Mick 1992) and visual (e.g.,

Peracchio and Meyers-Levy 1994) advertising elements and uncovers important moderators of

the consequences of ambiguous cues on persuasion and choice, such as level of involvement

(Kardes 1988), individual differences (Dimofte and Yalch 2007), and the unexpectedness of the

ambiguous cues (Miller and Kahn 2005).

       By definition, ambiguous ad cues are open to multiple interpretations and can thus lead to

advertising polysemy: multiple meanings across an audience in response to the same message

(Puntoni, Schroeder, and Ritson 2009). In a recent conceptual article, Puntoni and colleagues

(2009) highlight the prevalence of purposeful polysemy, which they define as advertising

polysemy that results from advertisers’ strategic efforts. Firms may pursue different goals when

encoding multiple meanings into a slogan or an ad. An area that has received limited attention

but that is especially interesting from a substantive point of view involves the effects of

purposeful polysemy with a targeting goal—that is, deliberate attempts to target two or more

segments of consumers with a message that is open to multiple interpretations (Puntoni et al.

2009). Despite previous calls for additional work in this area (e.g., Greenlee 2004; Kates and




                                                  4
Goh 2003), scant research considers purposeful polysemy in advertising targeting, and the few

existing studies focus on multi-ethnic advertising (Brumbaugh and Grier 2006).

       Literature within communication studies and rhetoric attends more to the importance of

purposeful polysemy, mostly as a determinant of message popularity (e.g., Browne and Schulze

1990; Ceccarelli 1998). Such largely conceptual work pertains to the antecedents and

consequences of purposeful polysemy in a variety of communication settings, such as

organizational communication (Eisenberg 1984) or everyday conversation (Nerlich and Clarke

2001). For example, Fiske (1986, p. 392) argues that for a television program to be popular, it

must appeal to diverse audiences, which occurs only if the program includes ambiguous elements

that are amenable to different interpretations so multiple groups of viewers can find “structural

similarities to [their] own social relations and identity.” Thus, purposeful polysemy reportedly

allows for the successful targeting of multiple audiences with the same advertising message.

       When a target segment represents a stigmatized minority within society, purposeful

polysemy can become important to avoid the risk of backlash from members of the dominant

culture (Bhat et al. 1998). Given the stigma associated with homosexuality, mass media

messages designed to appeal to gay consumers in the absence of explicit targeting therefore offer

an especially interesting application from both managerial and theoretical points of view.

Gay Window Advertising

       Since the 1980s, the term “gay window advertising”—or “gay vague advertising”—has

appeared in media and communication studies to describe advertising that covertly targets gay

consumers through the inclusion of ambiguous cues (e.g., Clark 1995; Rohlinger 2002; Sender

1999). Heterosexual men are not meant to perceive these subtle elements as a reference to gay

culture, and even for gay men, the cues remain ambiguous (i.e., different interpretations of the




                                                 5
potential target are possible; Greenlee 2004). According to this conceptualization, gay window

ads differ both from explicit appeals targeting gay consumers (e.g., a gay couple; Bhat et al.

1998) and from so-called implicit gay ads (Oakenfull and Greenlee 2005), which feature overt

(and unambiguous) gay symbolism (e.g., pink triangle, rainbow). Such symbols are readily

recognized by gay consumers and may or may not be understood by heterosexual ones,

depending on their subcultural knowledge, but if understood, they leave little space for

ambiguity (for a discussion of the difference between gay window and implicit gay ads, see

Greenlee 2004).

       Clark (1995, p. 486) argues that gay window advertising occurs through a dual strategy

that both avoids explicit references to heterosexuality and contains “signifiers of sexual

ambiguity.” These subtle cues that suggest gay targeting should be characterized by a sufficient

degree of ambiguity, so that their “gayness remains in the eye of the beholder.” (Clark 1995, p.

486). In line with Clark’s analysis, we define gay window advertising according to two criteria:

(1) the absence of explicit heterosexual cues and (2) the presence of ambiguous cues that could

be construed as depicting gay relationships or culture. For example, a common representation of

masculinity in print ads is what Rohlinger (2002) refers to as “the erotic male with unknown

sexuality.” This type of gay window advertising typically features “images of partially-clothed,

muscular men with sexually ambiguous appeal” (Rohlinger 2002, p. 65). Although these ads

include no explicit references, their use of imagery can be interpreted as hinting at elements of

gay culture (Sender 1999).

       Despite the interest that gay window ads have generated among commentators and

practitioners (Greenlee 2004; Oakenfull 2004), academic marketing literature largely ignores this

topic, and the effect of such ads on gay and heterosexual consumers remains unknown (Greenlee




                                                 6
2004). For example, do gay men react more positively to such ads than to ads featuring

heterosexual cues? How do heterosexual men react when exposed to gay window ads?

Target Market Effects of Covert Minority Targeting

       As a result of increasing diversity in the marketplace, target marketing strategies are

gaining importance (Grier and Brumbaugh 1999). Viewers who feel they belong to the target

market display more favorable attitudes toward an ad than do viewers who feel excluded (e.g.,

Leigh, Rethans, and Whitney 1987; Whittler and Spira 2002). As highlighted in the introduction,

prior advertising literature tends to focus on ads that unambiguously target a minority, with the

implicit assumption that minority consumers recognize the advertisers’ cultural sensitivity. We

propose, however, that covert minority targeting carried out through the use of ambiguous cues

may produce significant target market effects as well. We present a general social cognitive

account of how people interpret ambiguous information, and then discuss target market effects in

the case of covert minority targeting.

       Social cognitive psychology discusses ambiguity in terms of applicability, or the

relationship between features of stored knowledge and attended features of a stimulus (Higgins

1996). Accordingly, different interpretations of an event are possible when different knowledge

structures are applicable to the processing of incoming information (e.g., Förster and Liberman

2007). Another basic tenet of social cognition is that the accessibility of knowledge structures

determines the way ambiguous social information is interpreted (Higgins 1996). For example, in

an impression formation task, in which a character’s actions might be interpreted as implying

either one of two personality traits, the relative accessibility of the two applicable concepts

determines which attribution the person likely makes about that character (Srull and Wyer 1979).

Individual interpretations of an ambiguous event therefore are a joint function of applicability




                                                  7
and accessibility, both chronic (baseline) and temporary (primed). In particular, people with a

predisposition toward a certain interpretation of a stimulus likely make that interpretation, even

when faced with a considerable amount of ambiguity, because greater chronic accessibility can

compensate for weak applicability in interpretations of ambiguous stimuli (Higgins and Brendl

1995). Significantly for our study context, these effects may occur automatically and outside

conscious awareness (Higgins 1996).

       Self-schemas, which store information about the self, tend to enjoy relatively high

chronic accessibility (Markus 1977). In particular, consumers’ sense of who they are drives how

they make sense of advertising messages (Mick and Buhl 1992), because self-schemas serve as

an interpretive framework for incoming applicable information (Markus 1977). Self-schemas

that have been the focus of much attention in social psychology are those based on social

identities. When a social identity refers to a minority group within society that is characterized

by distinctive values, beliefs, and behaviors, we can talk of subcultural self-schemas

(Brumbaugh 2002). In general, social self-concepts guide the perception, encoding, and retrieval

of applicable information (Oyserman 2007). Although the importance of a social identity to the

sense of self can vary substantially among group members (Stryker and Serpe 1994), some

identities, such as gender, racial, ethnic, class, and sexual identities (Frable 1997), tend to play

key self-identification roles. Self-schemas related to these social identities therefore may be

implicated in advertising processing, particularly if those messages include cues that could be

interpreted as speaking to the consumer’s in-group. This implication should be especially

pertinent when a consumer belongs to a group that represents a minority, as defined by one of

these central social identities (e.g., African American, gay), because the distinctiveness of a trait

enhances its influence on the sense of self (McGuire 1984; Oakes 1987). For example, the sexual




                                                  8
self and associated subcultural schemas—which encode information about the subculture—play

important roles in how most gay consumers make sense of social information in their everyday

lives (e.g., Kates 2002).

       Covert minority targeting therefore should increase the personal relevance and make

ambiguous cues more accessible among minority consumers, with potentially positive

repercussions for their responses to the ad. Different processes could underpin positive target

market effects in the case of covert minority targeting, including attentional processes (e.g., gay

consumers may be more likely to pay attention to ambiguous gay cues than to heterosexual

cues), fluency effects (e.g., for gay consumers, ambiguous gay cues may feel more familiar or

“natural” than heterosexual cues), and implicit identification (e.g., gay consumers may be more

likely to experience a sense of affiliation with the models featured in gay window ads than with

those in mainstream ads).

       In summary, we propose that positive target market effects can occur in the case of

advertising that covertly targets a minority group by featuring subtle cues congruent with that

minority’s lifestyle or subcultural values. In the context of gay men’s responses to gay window

and mainstream ads, this proposal leads to the following hypothesis:

       H1a: Gay men have more positive attitudes toward gay window ads than toward

             mainstream ads.

Nontarget Market Effects of Covert Minority Targeting

       Existing literature also documents negative nontarget market effects—that is, decreased

preference for ads when people feel they do not belong to the target audience (Aaker et al. 2000;

Brumbaugh and Grier 2006). These market effects are especially evident among nondistinctive

consumers when the distinctive source portrayed in the ad belongs to a controversial minority,




                                                 9
such as gay men (Bhat et al. 1998; Grier and Brumbaugh 1999; Oakenfull and Greenlee 2005).

Negative nontarget market effects often are cited as a major impediment to the overt targeting of

minority groups (e.g., Grier and Brumbaugh 1999). As a consequence, exploring nontarget

market effects in the case of advertising messages that covertly target minorities (especially

stigmatized ones) is substantively interesting.

       Members of a dominant culture should have some knowledge about the values and

behaviors of prominent minorities, which should be activated by salient cues. For example, in the

case of messages targeting members of the gay subculture, salient cues could be a same-sex

couple captured in a romantic moment or explicit textual information (“gay pride”). Such cues

are likely to be interpreted by heterosexual viewers as targeting a gay minority, which may lead

to less favorable attitudes toward the message (Bhat et al. 1998). However, members of

dominant cultures often lack detailed knowledge about the subculture (Grier and Brumbaugh

1999). For these consumers, subcultural knowledge should mostly take the form of stereotypes

and should contain little self-referential information (Fiedler 2007). As a consequence,

ambiguous cues featured in messages that covertly target a minority should be less likely to

activate subcultural schemas among members of the dominant culture (Brumbaugh 2002; Grier

and Brumbaugh 1999). In contrast with the results from Bhat and colleagues’ (1998) study,

which uses an ad with two men romantically involved, heterosexual men exposed to a gay

window ad should not be as likely to interpret the ambiguous cues (e.g., two men standing next

to each other in a way that suggests some sort of close relationship) as gay cues. Covert minority

targeting thus might prevent negative nontarget market effects. These arguments encapsulate the

promise of covert minority targeting: executions that can deliver positive target market effects




                                                  10
among members of a minority without inducing negative nontarget market effects (e.g., Puntoni

et al. 2009).

        However, negative nontarget market effects might emerge even in the absence of explicit

awareness of minority targeting. Semioticians and critical and cultural theorists often criticize

advertising on the grounds that ads help perpetuate the status quo within a society by

encouraging consumers to interpret reality in ways that benefit the members of the dominant

culture (e.g., Leiss, Kline, and Jhally 1997; Schumann 2004; Williamson 1979). For example, in

the world depicted by advertising, women typically are in charge of household work, and men

are sexually attracted to women. If most ads are designed to appeal to consumers who identify

with mainstream culture, and if these consumers display positive target market effects, then the

absence of cues emphasizing mainstream cultural values alone should result in less positive ad

evaluations among the members of mainstream culture. We have defined gay window ads

according to the absence of heterosexual cues and the presence of ambiguous cues. This

discussion then suggests that heterosexual men may respond more negatively to gay window ads

than to mainstream ads.

        H1b: Heterosexual men have more positive attitudes toward mainstream ads than toward

                gay window ads.

The Role of Emotional Responses

        Although most studies focus exclusively on attitudinal effects (e.g., Aaker et al. 2000;

Brumbaugh 2002; Oakenfull and Greenlee 2004, 2005), literature pertaining to group processes

and intergroup relations shows that for some groups, such as gay men, emotional reactions are

the strongest predictor of overall evaluations (Miller, Smith, and Mackie 2007). In addition,

emotional reactions elicited by ads mediate the effect of the ad content on attitudes (Edell and




                                                 11
Burke 1987; Holbrook and Batra 1987)—a mediating role confirmed by Bhat and colleagues

(1998) in the context of target marketing. The arguments that lead to hypothesis 1 also should

apply in the context of emotional responses. In particular, we expect emotional responses to gay

window and mainstream ads to reflect the interpretive frames of gay and heterosexual

consumers. Accordingly, gay (heterosexual) men should experience more (less) positive

emotions and less (more) negative emotions in the case of gay window compared with

mainstream ads. Moreover, we expect emotional responses to mediate the joint effect of sexual

orientation and ad type on attitudes toward the ad.

       H2: Sexual orientation moderates emotions elicited by gay window and mainstream ads,

           such that (a) for gay men, gay window ads generate stronger positive emotions and

           weaker negative emotions than do mainstream ads, whereas (b) for heterosexual men,

           mainstream ads generate stronger positive emotions and weaker negative emotions

           than do gay window ads.

       H3: Positive and negative emotions mediate the influence of sexual orientation on

           attitudes toward gay window and mainstream ads.

The Role of Individual Differences and Product Category

       Our previous hypotheses do not take into account the role of heterogeneity among gay

and heterosexual men. However, individual differences among both groups likely help explain

variations in their responses to gay window and mainstream advertising. For example, Bhat and

colleagues (1998) show that attitudes toward homosexuality moderate heterosexual men’s

negative reactions to explicit gay advertising. In this section, we therefore focus on two

individual differences that should be especially relevant to the discussion of target and nontarget

market effects in the context of gay window advertising.




                                                12
Gay men vary in the degree to which they identify with being gay (i.e., are at different

stages of the coming out process) and express their gay identity to others (Kates 1998; Oakenfull

2004). This individual difference influences how gay consumers relate to the subculture (Kates

1998); we therefore use degree of gay openness to investigate differences in gay men’s responses

to gay window and mainstream ads. Moreover, heterosexual men vary in their degree of

acceptance of homosexuality, with consequences for their responses to the gay subculture (Bhat

et al. 1998; Herek and Capitanio 1999). Attitudes toward homosexuality among heterosexual

men therefore may influence consumers’ reactions to gay window and mainstream ads.

       Degree of gay openness and attitudes toward homosexuality should help explain the ad

evaluations offered by gay and heterosexual men, because they may capture differences across

individuals in their strength of opposition to or endorsement of gender stereotypes and traditional

gender roles. If this premise is accurate, the product category advertised should be a crucial

moderator of the effect of individual differences on gay and heterosexual men’s responses to

purposeful polysemy in advertising targeting.

       Products vary in the extent to which they fit prevailing gender stereotypes. Although

some product categories (e.g., sanitary napkins) are used only by one gender, many others are

ascribed to a single gender by dominant stereotypes (Alreck 1994; e.g., do-it-yourself equipment

is for men). Dramatic social changes in the past 30 years have challenged stereotypical views of

appropriate user groups, though gender stereotypes for product usage remain prevalent and

influence the way people spontaneously feel about product categories (Browne 1998). Individual

differences in the degree to which gay and heterosexual men relate to traditional views of

sexuality thus may explain differences among gay and heterosexual respondents in their




                                                13
reactions to ambiguous gay and mainstream cues in ads that promote products that vary in their

level of congruence with prevailing gender stereotypes (e.g., face moisturizer versus car tires).

       Among gay people, Chung (2001) notes five identity management strategies: acting (i.e.,

engaging in a heterosexual relationship to mislead people about the person’s sexual orientation),

passing (i.e., fabricating information to be perceived as heterosexual), covering (i.e., omitting or

censoring information that would identify oneself as gay), implicitly out (i.e., open and honest

about sexual orientation without labeling oneself as gay), and explicitly out (i.e., openly

identifying as gay). The last four strategies parallel the gay identity development progress

identified by Griffin (1992). Compared with people in earlier stages of the coming out process,

gay consumers who are explicitly out are more likely to endorse minority cultural values, be

committed to their gay identity, and criticize society’s negative evaluation of homosexuality

(Kates 1998). Oakenfull (2004) argues that targeting gay consumers by inserting implicit gay ads

in mainstream media may provoke negative reactions from gay consumers who are especially

committed to their gay identity. Explicitly out gay consumers may oppose ambiguous, or

“closeted,” references to the behaviors and values of the gay community, on the grounds that

these messages accept society’s restrictive sexual rules (Gross 2005). As a consequence,

Oakenfull (2004) suggests that explicitly out gay consumers are best targeted with overtly gay

messages placed in gay media. In the current setting, explicitly out gay men should react less

positively than gay men who are at an earlier stage of the coming out process to both mainstream

and gay window ads. However, ads that are inconsistent with traditional gender roles may

mitigate such negative reactions among gay men who are explicitly out. In particular,

mainstream ads for products that are incongruent with male stereotypes and gay window ads for




                                                 14
products traditionally considered the prerogative of heterosexual men appear to challenge

prevailing gender stereotypes. We therefore propose:

       H4: Compared with gay men at earlier stages of the coming out process, explicitly out

           gay men hold more negative attitudes toward (a) mainstream ads for products

           congruent with traditional male stereotypes and (b) gay window ads for products

           incongruent with traditional male stereotypes.

       A similar line of reasoning applies to the influence of attitudes toward homosexuality on

heterosexual men’s responses to gay window and mainstream ads. For heterosexual men, more

negative attitudes toward homosexuality reflect a stronger endorsement of traditional

(mainstream) notions of sexuality (Weinberger and Millham 1979). Men who hold traditional

views of sexuality and sex roles like stereotypically male products more when they are endorsed

by men than by women and like stereotypically female products more when they are endorsed by

women than by men (Morrison and Shaffer 2003).

       In the context of our study, heterosexual male consumers who hold more negative

attitudes toward homosexuality should react more positively to mainstream ads for male-

stereotypical products than men who hold more positive attitudes toward homosexuality, because

these ads represent the most stereotypical ad type/product type combination. In contrast, gay

window ads for products that are incongruent with traditional male stereotypes neither include

traditional mainstream cues designed to appeal to heterosexual men nor advertise products that

are traditionally categorized as male products. In other words, heterosexual men with traditional

views might perceive that they are not targeted at all by such ads, whereas men who share

traditional values to a lesser extent might still consider themselves part of the target. However,

because traditional cues that appeal to heterosexual men are not present, men who are less




                                                 15
traditional should like gay window ads for incongruent products less than heterosexual men who

endorse traditional views. We therefore propose:

       H5: Among heterosexual men, a more negative attitude toward homosexuality is

           associated with more positive attitudes toward (a) mainstream ads for products

           congruent with traditional male stereotypes and (b) gay window ads for products

           incongruent with traditional male stereotypes.

                                            METHOD

       To test our hypotheses, we conducted a quasi-experiment in which we asked a sample of

male consumers (gay and heterosexual) to evaluate gay window and mainstream ads. To provide

a managerially relevant test of the framework, we used real ads, available in both gay window

and mainstream versions, in accord with our definition of gay window advertising.

Design and Participants

       The study used a mixed 2 (sexual orientation: gay vs. heterosexual) × 2 (ad type: gay

window vs. mainstream) × 2 (ad type order: gay window first vs. mainstream first) × 4 (brand

order) design. We measured sexual orientation according to self-reports, and the ad type

manipulation applied within-subjects. In addition, we included two between-subjects

counterbalancing factors for ad type order and brand order. All participants thus reviewed two

ads, a gay window and a mainstream ad, each for a different brand, and were randomly assigned

to complete one of eight different versions of the survey. The specific brand pairs in the four

brand order conditions were determined randomly (see Figure 1 for specific brand pairs). In this

design, we can assess hypotheses 1–3 through an analysis of the sexual orientation × ad type

interaction on attitudes toward the ad and emotional responses.




                                                16
To test hypotheses 4 and 5, which posit separate effects for gay and heterosexual men

related to the interaction between individual differences and product category, we measured gay

openness among gay respondents (explicitly out vs. not explicitly out) and attitudes toward

homosexuality among heterosexual respondents. Furthermore, we included a manipulation of

product category (congruent vs. incongruent with male stereotypes).

       Two hundred eighty-two men participated in an online study (148 self-identified as gay)

in return for a chance to win a €15 (approximately $21) gift voucher from a popular website.

Because we collected data in the Netherlands, the language used in all instructions and questions

was Dutch. To recruit participants, we turned to various channels, including an advertisement for

the study website (presented as research on advertising effectiveness) posted on a Dutch site on

which consumers interested in academic research can sign up and be contacted for research

participation. In addition, to recruit a sufficiently large number of gay respondents, we used

channels targeting online gay communities (www.gay.nl).

Stimuli

       Eight print advertisements served as stimuli in this study. The stimulus ads are real ads,

selected following an extensive analysis of materials related to gay window advertising among

managerial publications, websites, and gay media. To guarantee ad comparability in the two ad

type conditions, the selected ads appear in both gay window and mainstream formats.

Specifically, for each campaign, the two versions of the ad are identical in layout, slogan, and

textual information and differ only in that the mainstream version contains heterosexual

references, whereas the gay window version uses more ambiguous references.

       Eau de toilette, facial cream, car tires, and alcohol (vodka) are the categories featured in

the ads. Previous studies have shown that beauty products and toiletries are perceived as




                                                17
typically feminine products, whereas alcohol and car items are typically masculine products

(Alreck 1994; Morrison and Shaffer 2003). To confirm the stronger association between

heterosexual men and vodka and car tires and their weaker association with eau de toilette and

facial cream, we carried out a pretest. Thirteen male respondents evaluated (on five-point Likert

scales) the extent to which they associated eau de toilette, vodka, car tires, and facial cream with

women, heterosexual men, and gay men. The aim of the pretest is to confirm that certain product

categories tend to be considered the prerogative of men, whereas others are not. Because women

and gay men represent outgroups for heterosexual men, we averaged the scores for the women

and gay men categories. As expected, vodka and car tires are associated significantly more with

heterosexual men than with the outgroup (M = 3.77 vs. 2.38, F(1, 12) = 8.29, p < .05, and M =

3.62 vs. 1.92, F(1, 12) = 15.53, p < .01, respectively), whereas the opposite pattern emerges for

facial cream (M = 2.31 vs. 4.00, F(1, 12) = 12.15, p < .01) and eau de toilette (M = 3.08 vs. 4.08,

F(1, 12) = 6.64, p < .05).

       The gay window and mainstream ads feature the following products: Azzaro Visit eau de

toilette for men, Nivea for Men facial cream, Bridgestone Turanza tires, and Skyy Blue vodka

(the ads had appeared in either U.S. or German gay and mainstream magazines). The gay

window ads come from the database of The Commercial Closet (www.commercialcloset.org), an

association scrutinizing the advertising industry’s targeting of gay and lesbian consumers. To

obtain the mainstream versions, we contacted the advertisers or located them on online databases

of print advertisements. Two of the gay window ads (Azzaro and Nivea) promote products that

are incongruent with traditional male stereotypes (perfume and face moisturizer), and the other

two (Bridgestone and Skyy) promote products that are congruent with traditional male

stereotypes (tires and alcohol). We present the stimuli in Figure 1.




                                                 18
----------
                                   Figure 1 about here
                                         ----------
       Compared with the mainstream versions, the gay window ads do not contain any cues

that suggest heterosexual relationships. In addition to the lack of explicitly heterosexual cues, the

gay window versions feature details (absent in the mainstream version) that suggest ambiguity in

the sexual orientation of the male model. In the Azzaro ad, this ambiguity derives from the naked

torso of the model and a less assertive facial expression. The Nivea gay window ad includes a

mirrored disco ball (in place of the female head) and bright colors surrounding the disco ball.

The ambiguity in the gay window versions of the Bridgestone and Skyy ads emerges from the

introduction of a male companion. In both versions of these ads, the posture and position of the

two models suggest some connection between them (i.e., leaning toward or touching each other),

but without a clear cue to disambiguate the nature of their relationship.

Procedure and Measures

       The study website randomly assigned respondents to one of eight versions of the survey

(see Figure 1 for the eight randomized sets of stimuli). After a short introduction, the website

presented the two ads and, for each, asked respondents to answer a series of questions. The

dependent variables included measures of attitudes toward and emotional responses to the ads.

To measure attitudes, we adopted seven seven-point semantic differential scales used by

Muehling, Laczniak, and Stoltman (1991) (e.g., bad–good, unattractive–attractive, unappealing–

appealing); for emotions, we used 18 items from the Differential Emotion Scale (Izard 1977) to

capture Ekman and Friesen’s (1975) basic emotions (e.g., “this ad makes me feel

delighted/happy/sad/disgusted,” seven-point Likert scales, from “strongly disagree” to “strongly

agree”). After the dependent variables, an open-ended question appeared for each ad, asking the

respondent to describe the type of person targeted by the ad. We used this open-ended measure



                                                 19
to elicit ad meanings without drawing attention to specific ad elements and without imposing a

priori notions about viable interpretations for these ads. A content analysis of these data helped

validate the assumption that the implicit target and nontarget market effects predicted by the

theory occur in the absence of explicit target market recognition.

        The final part of the study included questions about various socioeconomic factors (age,

income, education, geographical residence, relationship status) to check the comparability of the

gay and heterosexual samples. The study concluded with questions about the respondents’ sexual

orientation. Participants completed the ATG-S4 scale, which measures attitudes toward

homosexuality (Herek and Capitanio 1999) with four seven-point Likert items (e.g.,

“homosexuality is a natural expression of sexuality,” “I think male homosexuals are disgusting”

[reversed]). The item pertaining to the respondent’s own sexual orientation offered three

response categories: heterosexual, gay, and bisexual (no respondent selected the third option).

For respondents who self-identified as gay, the next item inquired about their level of openness

about their sexuality, based on Chung’s (2001) categories: (1) “I am sure nobody knows and I do

not want anybody to know about it. I am engaged in heterosexual relationships and have a

heterosexual lifestyle” (acting); (2) “I assume other people do not know. I sometimes make up

things which are not true, to be sure that I will pass as straight” (passing); (3) “it is possible that

some people might suspect it but I do not know what they really know. I often omit or censor

things to avoid to be identified as homosexual” (covering); (4) “especially in new situations, I am

not always open about my sexuality, but it is not a secret. If people ask me about it directly, I

will not deny it” (implicitly out); and (5) “I am open about my sexuality and when I talk to other

people I do not avoid subjects around my sexual orientation. Everybody is allowed to know it,

some see me as ‘gay’” (explicitly out).




                                                   20
RESULTS

Sample and Measure Checks

       Because sexual orientation is not randomly assigned, we checked the comparability of the

two samples and found no significant differences in age, income, education level, or employment

(ps > .07). Table 1 presents demographic information for the two groups of respondents. The

only significant differences pertain to relationship status (more gay respondents reported being

single than their heterosexual counterparts, χ²(1) = 5.64, p < .05) and attitudes toward

homosexuality (t(282) = -9.89, p < .001). Unsurprisingly, gay participants (M = 6.84 on 7-point

scale) display more positive attitudes toward homosexuality than heterosexual participants (M =

5.81). Among gay respondents, 13% are explicitly out and 87% are not explicitly out (2% belong

to the passing category, 22% covering, and 63% are implicitly out).

                                          ----------
                                     Table 1 about here
                                          ----------
       We conducted factor analyses of emotions, attitudes toward the ad, and attitudes toward

homosexuality. For emotions, the eigenvalue criteria indicate three factors that explain 67% of

the variance for gay window ads and 69% for mainstream ads: positive emotions (gay window α

= .89; mainstream α = .88; 3 items), negative emotions (gay window α = .93, mainstream α =

.94; 12 items), and surprise (gay window α = .77, mainstream α = .78; 3 items). Because surprise

is neither a positive nor a negative emotion (Ekman and Friesen 1975), we do not discuss it

further. For attitudes toward gay window and mainstream ads, respectively, the one-factor

solution explains 72% (α = .93; 7 items) and 69% (α = .92; 7 items) of the variance. The one-

factor solution for attitudes toward homosexuality explains 67% of the variance (α = .82; 4

items). Each variable (i.e., positive and negative emotions, attitudes toward the ad and

homosexuality) was aggregated by taking the mean of its respective items.



                                                21
Ad-Evoked Imagery

       An important assumption of this research is that the ambiguous cues featured in gay

window ads can influence consumers without their explicit awareness of gay targeting. To

validate the subtlety of the ambiguous gay cues, we content analyzed participants’ answers

regarding the perceived target of the ads and dichotomized the data according to whether

participants identified gay men among the targeted consumers. Confirming the subtlety of the ad

type manipulation, most respondents (93% heterosexual, 92% gay participants) did not mention

gay men as the target of the gay window ads (2.5% of respondents mentioned a gay target for

mainstream ads).1

Attitudes toward the Ad

       Hypothesis 1 predicts an interaction between sexual orientation and ad type on attitudes

toward the ad, such that gay (heterosexual) participants should display a relative preference for

gay window (mainstream) ads. To test this hypothesis, we estimated a repeated-measures

ANOVA on attitudes toward the ad, with the scores for the gay window and mainstream ads as

the within-subjects factor and sexual orientation as the between-subjects factor (Table 2; Figure

2a). The order of ad presentation and brand counterbalancing also served as between-subjects

factors (the Appendix reports the ad-level analyses).

                                             ----------
                                 Figure 2 and Table 2 about here
                                             ----------
       A significant main effect of sexual orientation (F(1, 264) = 36.99, p < .001; gay

participants rate ads higher than heterosexual participants, M = 4.55 vs. 3.75) is subsumed by the

hypothesized ad type by sexual orientation interaction (F(1, 264) = 16.75, p < .001). Gay

participants report more positive attitudes toward gay window (M = 4.81) than mainstream ads

(M = 4.30; F(1, 124) = 6.38, p < .05); heterosexual participants report more positive attitudes



                                                22
toward mainstream (M = 3.95) than gay window ads (M = 3.56; F(1, 140) = 10.89, p < .01). The

main effect of ad type is nonsignificant (p > .78). These findings provide support for hypothesis

1.

Emotional Responses

       Hypothesis 2 predicts an interaction between sexual orientation and ad type for positive

and negative emotions, in line with the interaction predicted in hypothesis 1. The correlations

between negative and positive emotions are low (r = -.17 for gay window ads, r = -.07 for

mainstream ads).

       As in the case of attitudes, the significant main effect of sexual orientation for both

positive and negative emotions (F(1, 265) = 31.48, p < .001 and F(1, 257) = 15.32, p < .001,

respectively; gay males report stronger positive emotions, M = 3.71, and weaker negative

emotions, M = 1.47, than heterosexual males, M = 2.88 and M = 1.86, respectively) is subsumed

by the hypothesized interaction between sexual orientation and ad type for both positive and

negative emotions (F(1, 265) = 14.27, p < .001 and F(1, 257) = 11.70, p < .001, respectively;

differences in degrees of freedom are due to missing values; see Figures 2b and 2c). Gay

participants report less negative emotional responses for gay window (M = 1.42) than

mainstream ads (M = 1.55; F(1, 122) = 3.87, p = .05), as well as marginally more positive

emotional responses for gay window (M = 3.92) than mainstream ads (M = 3.51; F(1, 127) =

3.27, p = .07). Moreover, heterosexual participants report more positive emotional responses for

mainstream (M = 3.11) than gay window ads (M = 2.64; F(1, 138) = 16.94, p < .001) and less

negative emotional responses for mainstream (M = 1.76) than gay window ads (M = 1.95; F(1,

135) = 8.12, p < .01). These findings support hypothesis 2.

Mediated Moderation




                                                23
Hypothesis 3 predicts that the joint effect of sexual orientation and ad type on attitudes

should be mediated by emotional responses. Our theoretical framework therefore presents a case

of mediated moderation (Muller, Judd, and Yzerbyt 2005; see also Model 2 in Preacher, Rucker,

and Hayes 2007). When we include negative and positive emotions in the model for attitudes

toward the ad, which we used to test hypothesis 1, the influence of emotions is significant.

Specifically, the coefficient for negative emotions is significant for both gay window ads and

mainstream ads (β = -.38, F(1, 247) = 21.15, p < .001 and β = -.55, F(1, 247) = 16.07, p < .001,

respectively), as are the coefficients for positive emotions (β = .59, F(1, 247) = 103.62, p < .001

and β = .56, F(1, 247) = 121.59, p < .001, respectively). In this model, the sexual orientation by

ad type interaction (F(1, 247) = 2.0, p > .15) and the main effect of sexual orientation (F(1, 247)

= 1.49, p >.22) become nonsignificant, in support of hypothesis 3: Emotional responses fully

mediate the joint effect of sexual orientation and ad type on attitudes toward the ad.

Gay Men: Gay Openness and Product Category

       Hypothesis 4 predicts that gay respondents who are explicitly out should report more

negative attitudes toward (a) mainstream ads for product categories that are congruent with male

stereotypes and (b) gay window ads for product categories that are incongruent with male

stereotypes, as compared to other gay men. Therefore, for the subsequent analyses, we used data

from gay respondents only and estimated separate models for gay window and mainstream ads.

Specifically, for each ad type, we estimated an ANOVA on attitudes toward the ad with a

dichotomous measure of gay openness (explicitly out vs. not explicitly out) and product category

(congruent vs. incongruent with male stereotypes) as between-subjects factors. As in previous

analyses, we added the order of ad type presentation as a between-subjects factor (we did not




                                                24
include the brand order counterbalancing, because its inclusion leads to linear dependence when

product category is a predictor). We represent the results graphically in Figures 2d and 2e.

       For mainstream ads, the gay openness by product category interaction is significant (F(1,

125) = 6.64, p = .01). Explicitly out respondents report more negative attitudes toward

mainstream ads for product categories congruent with male stereotypes (M = 2.73) than do

participants who are not explicitly out (M = 4.36; F(1, 62) = 9.10, p < .01), but no association

emerges between gay openness and ad liking in the case of mainstream ads for product

categories incongruent with male stereotypes (p > .60). For gay window ads, the gay openness by

product category interaction is marginally significant (F(1, 127) = 2.89, p < .10). Explicitly out

respondents report marginally more negative attitudes toward gay window ads for product

categories incongruent with male stereotypes (M = 3.92) than do participants who are not

explicitly out (M = 4.78; F(1, 55) = 3.70, p = .06), but no association exists between gay

openness and attitudes in the case of gay window ads for product categories congruent with male

stereotypes (p > .60). The results therefore provide support for hypothesis 4.

Heterosexual Men: Attitudes toward Homosexuality and Product Category

       Hypothesis 5 predicts a reverse of hypothesis 4 for heterosexual men and attitudes toward

homosexuality. Accordingly, more negative attitudes toward homosexuality should be associated

with more positive evaluations of (a) mainstream ads for products congruent with and (b) gay

window ads for products incongruent with traditional male stereotypes.

       Among heterosexual respondents, scores on attitudes toward homosexuality are very high

(M = 5.81 on 7-point scale), perhaps as a result of either the well-documented tolerance of Dutch

society or socially desirable responding. Regardless, such high scores lower the sensitivity of the

measure and its ability to sustain hypotheses. In particular, one item (“a man who is homosexual




                                                25
is just as likely to be a good person as anyone else”) presents a problematic distribution, with

70% of heterosexual respondents using the rightmost endpoint of the scale. This skewed

distribution raises a concern about possible ceiling effects, because the answers are significantly

higher than those for any of the remaining items (M = 6.52 vs. 5.57 for the average of the three

remaining items; p < .0001), resulting in lower variance (standard deviation = .94 vs. 1.35; p <

.0001). Therefore, we excluded this item and used the average of the remaining items as our

measure of attitudes toward homosexuality, after reversing two of them (α = .79). To test

hypothesis 5, we adopt an approach similar to that for hypothesis 4. We estimated separate

general linear models for gay window and mainstream ads, with attitudes toward homosexuality,

product category, and order of ad type presentation as predictors. We treated (mean-centered)

attitudes toward homosexuality as a continuous variable (Aiken and West 1991).

       For mainstream ads, we observe a significant interaction between attitudes toward

homosexuality and product category (F(1, 140) = 3.89, p = .05). Respondents with more negative

attitudes toward homosexuality like mainstream ads for products congruent with male

stereotypes marginally more (β = -.38, F(1, 54) = 2.88, p < .10). This result is interesting because

it mirrors the joint effect of gay openness and product category for gay respondents, as reported

for the mainstream ads. Attitudes toward homosexuality do not predict attitude toward

mainstream ads for products that are incongruent with male stereotypes (p > .27). Figure 2f

provides a representation of these results (for representational purposes, attitudes toward

homosexuality are dichotomized). For gay window ads, none of the coefficients is significant (ps

> .23). Thus, only the first part of hypothesis 5 receives support.

                                          DISCUSSION




                                                 26
Despite practitioners’ increasing attention to the issue of purposeful polysemy in

advertising targeting, research on this topic remains lacking. We extend existing literature by

investigating the target and nontarget market effects of purposeful polysemy and thereby respond

to calls for research into the effect of using less visible physical markers of group membership in

advertising targeting (Brumbaugh and Grier 2006; Greenless 2004; Kates and Goh 2003;

Oakenfull and Greenlee 2005; Puntoni et al. 2009). By focusing on a stigmatized minority—gay

men—we provide a strong test of the effect of purposeful polysemy. We conducted a quasi-

experiment in which gay and heterosexual men evaluated gay window and mainstream ads.

Crossover interactions occurred for attitudes toward the ad and emotional responses (both

positive and negative), such that gay men evaluated the gay window ads more positively than the

mainstream ads, and heterosexual respondents did the opposite. Moreover, emotional responses

fully mediated the effect of ad type and sexual orientation on attitudes, a finding that extends

prior research on the mediation of emotional responses on ad liking (e.g., Bhat et al. 1998) to a

situation in which consumers have no conscious awareness of advertising targeting.

       We found a significant effect of product category and individual differences. Compared

with gay men in earlier stages of the coming out process, gay men who are explicitly out

responded more negatively to gay window ads for product categories incongruent with prevailing

male stereotypes and to mainstream ads for product categories congruent with male stereotypes.

Moreover, heterosexual participants with more negative attitudes toward homosexuality tended

to respond more positively to mainstream ads for product categories congruent with male

stereotypes. The analyses of the role of individual differences and product category on consumer

responses to gay window and mainstream ads provide converging evidence about the role of

consumers’ worldview and sense of self for the processing of advertising cues, as well as the




                                                 27
interaction between product and ad characteristics in determining consumer responses to

mainstream and gay window ads.

Implications, Limitations, and Further Research

       Gay men responded positively to gay window ads. In addition, the large majority of

respondents—both gay and heterosexual—failed to identify gay men as part of the target market.

These findings are important because, to our knowledge, this article provides the first formal test

of whether purposeful polysemy in minority targeting can produce positive target market effects.

The results therefore demonstrate that purposeful polysemy is a communication strategy that can

be helpful in targeting consumers who belong to a minority within society, hence answering

recent calls for research on advertising polysemy (e.g., Kates and Goh 2003; Puntoni et al. 2009).

The results also add to previous research on target market effects (e.g., Aaker et al. 2000; Grier

and Brumbaugh 1999) by extending prior findings to the substantively and theoretically

important case of subtle group identifiers and ambiguous ad cues (Brumbaugh and Grier 2006).

       Despite their lack of awareness of gay targeting, heterosexual men responded negatively

to gay window ads. In the case of minority targeting, the size of the target market is, by

definition, smaller than that of the nontarget market. In recent years, purposeful polysemy has

been often heralded as a “win-win” targeting strategy (e.g., Greenlee 2004; Kates and Goh 2003;

Puntoni et al. 2009). However, the trade-off between target and nontarget market effects

demonstrated by our findings challenges the viability of this strategy: If purposeful polysemy

promises positive results among a (relatively small) target market and negative results among a

(larger) nontarget market, managers should be careful about adopting this strategy, at least when

targeting stigmatized minorities. Advertisers should conduct careful pretesting among both target

and nontarget markets before engaging in purposeful polysemy. It would be a mistake, however,




                                                28
to interpret our findings as implying a general dismissal of the strategy, because in different

circumstances, the conditions that lead us to predict negative nontarget market effects may not

exist. Following current practice in mainstream advertising and most academic research on gay

advertising (Oakenfull and Greenlee 2004), we focused on gay male cues, but lesbian source

cues tend to engender less negative responses among heterosexual consumers than do gay male

source cues (Oakenfull and Greenlee 2004). Advertising with ambiguous lesbian cues therefore

may be especially interesting from a managerial point of view, because it may prompt positive

target market effects while reducing the risk of negative nontarget market effects.

       More generally, the critical aspects that distinguish a subculture from mainstream culture

may not be reflected in the stylistic elements often used in ads, such that the basis for predicting

negative nontarget market effects (i.e., negative consequences of the absence of mainstream

cultural cues) may be weaker. For example, consider an advertiser in a conservative Christian

market that considers using purposeful polysemy to target families of a religious minority. If

both sub- and mainstream cultures share a patriarchal view of the family, it may be possible to

target families belonging to the religious minority covertly while still portraying family relations

that are not incongruent with those expected by members of dominant culture. In this context,

purposeful polysemy may be less likely to produce negative nontarget market effects. Due to the

“perpetual encroachment of sexual appeals into mainstream advertising” (Reichert and Lambiase

2003, p. 1), negative nontarget market effects of covert minority targeting also may be especially

strong in the case of gay window advertising. Compared with other settings, the ubiquity of

(heterosexual) sex cues in advertising may render the absence of such mainstream cultural cues

particularly incongruent with consumers’ expectations. Investigating further the negative




                                                 29
nontarget market effects of covert minority targeting therefore is an important area for future

research.

       The interaction between individual differences (gay openness, attitudes toward

homosexuality) and the degree of congruence of the product category with male stereotypes

represents another interesting finding. Our results add to existing literature (e.g., Oakenfull 2004)

by suggesting, for example, that gay men who are very open about their sexual orientation might

be targeted using gay window ads when the product category is congruent with traditional male

stereotypes but with mainstream ads when the product category is incongruent with traditional

male stereotypes. The latter case suggests that the product category may act as an ambiguous

nonsource cue. Specifically, the targeting of counter-stereotypical products to men may act as an

ambiguous gay cue for gay men who are explicitly out.

       Advertisers thus should take the product category into consideration when choosing an ad

format (gay window or mainstream) or media planning. For example, purposeful polysemy

might be especially difficult to implement for products that are bound up with prevailing

stereotypes (Grier, Brumbaugh, and Thorton 2006). Additional research thus should explore the

role of product category, as well as the effectiveness of different implementations of purposeful

polysemy. For example, we manipulated ambiguity using pictorial information, but further

research could assess the effect of ambiguous cues presented in different advertising elements

(e.g., verbal or textual elements). In particular, it would be interesting to assess implementations

of purposeful polysemy carried out through textual cues to target covertly minorities that are

characterized by visually salient markers of group membership (e.g., distinctive skin color).

       Before concluding, we acknowledge two limitations. First, we used real gay window and

mainstream ads, which allowed for a more realistic test of the hypotheses, though it also forced a




                                                 30
trade-off between external and internal validity in our tests of hypotheses 4 and 5. In particular,

some differences across ads were inevitable when using a variety of product categories, because

advertising agencies often adhere to established formats when advertising in certain product

categories (e.g., prominent face shot in ads for beauty care products, group consumption settings

in ads for alcoholic beverages). In particular, the ads varied in the number of men featured in the

ads: The gay window ads for Skyy and Bridgestone included a same-sex couple, whereas those

for Nivea and Azzaro featured only one man. It would be worthwhile to replicate our findings

about the effect of product category using ads that hold the number of men depicted on the ads

constant across product category conditions.

       Second, following previous studies on target market effects (e.g., Aaker et al. 2000;

Brumbaugh 2002; Brumbaugh and Grier 2006; Burnett 2000; Forehand et al. 2002; Oakenfull

and Greenlee 2004, 2005), we focused on attitudes toward the ad as a measure of advertising

effectiveness. The results provide an important indication of the likely marketplace effects on

attitude toward the brand and purchase intentions (see Brown and Stayman 1992), though the

relationship between attitude toward the ad and brand attitudes or purchase intentions tends to be

weaker for well-known brands (i.e., because attitudes toward known brands have been formed

through repeated exposure to ads and/or product usage; Brown and Stayman 1992). Replications

and extensions of our study therefore should include additional dependent variables.

Conclusion

       Growing consumer diversity and increasingly sophisticated marketing practices imply

that advertising targeting applies to ever narrower segments (Grier and Brumbaugh 1999). Such

narrow targeting raises two problems for media strategists. First, despite the increasing

importance of interactive and new media, mass media advertising remains the standard channel




                                                 31
for many advertisers, and it may become uneconomical to conduct an advertising strategy that

employs narrow targets and mass media. Second, to target stigmatized minorities, advertisers

face the potential of alienating nontarget consumers if they become aware of minority targeting

(Bhat et al. 1998; Greenlee 2004). In light of current social trends, the attractiveness of strategies

aimed at multiple segments through ambiguous messages is therefore likely to increase (Puntoni

et al. 2009). We have focused on the gay minority, but managerial publications also identify

other minorities (e.g., based on religious, ethnic, or social status differences) as hard to target

through traditional media. We have provided a theoretical and empirical analysis to address both

target and nontarget market effects of purposeful polysemy in minority targeting, which could

serve as a starting point for additional inquiries into this important and timely topic for

advertising researchers.




                                                  32
REFERENCES

Aaker, Jennifer, Anne Brumbaugh, and Sonya Grier (2000), “Non-Target Markets and Viewer

       Distinctiveness: The Impact of Target Marketing on Processing and Attitudes,” Journal

       of Consumer Psychology, 9 (3), 127-40.

Aiken, Leona S. and Stephen G. West (1991), Multiple Regression: Testing and Interpreting

       Interactions. Newbury Park, CA: Sage.

Alreck, Pamela L. (1994), "Commentary: A New Formula for Gendering Products and Brands,"

       Journal of Product and Brand Management, 3 (1), 6-18.

Bhat, Subodh, Thomas W. Leigh, and Daniel L. Warlow (1998), “The Effect of Consumer

       Prejudices on Ad Processing: Heterosexual Consumers’ Responses to Homosexual

       Imagery in Ads,” Journal of Advertising, 27 (4), 9-28.

Brown, Steven P. and Douglas M. Stayman (1992), “Antecedents and Consequences of Attitude

       Toward the Ad: A Meta-analysis,” Journal of Consumer Research, 19 (1), 34-51.

Browne, Beverly (1998), “Gender Stereotypes in Advertising on Children’s television in the

       1990s: A Cross-National Analysis,” Journal of Advertising, 27 (1), 83-96.

Browne, Jane D. and Laurie Schulze (1990), “The Effect of Race, Gender, and Fandom on

       Audience Interpretations of Madonna’s Music Videos,” Journal of Communication, 40

       (2), 88-103.

Brumbaugh, Anne M. (2002) “Source and Nonsource Cues in Advertising and their Effects on

       the Activation of Cultural and Subcultural Knowledge on the Route to Persuasion,”

       Journal of Consumer Research, 29 (2), 258-69.

------ and Sonya A. Grier (2006), “Insights from a ‘Failed’ Experiment: Directions for Pluralistic,

       Multiethnic Advertising Research,” Journal of Advertising, 36 (Fall), 35-47.




                                                33
Burnett, John J. (2000), “Gays: Feelings about Advertising and Media Used,” Journal of

       Advertising Research, (January-April), 75-84.

Ceccarelli, Leah (1998), “Polysemy: Multiple Meanings in Rhetorical Criticism.” Quarterly

       Journal of Speech, 84 (4), 395-415.

Chung, Barry Y. (2001), “Work Discrimination and Coping Strategies: Conceptual Frameworks

       for Counseling Lesbian, Gay, and Bisexual Clients,” Career Development Quarterly, 50

       (September), 33-50.

Clark, Danae (1995), “Commodity Lesbianism,” in Out in Culture: Gay, Lesbian, and Queer

       Essays on Popular Culture, Corey K. Creekmur and Alexander Doty, eds. Durham, NC:

       Duke University Press, 484-99.

Dimofte, Claudiu V., Mark R. Forehand, and Rohit Deshpandé (2004), “Ad Schema Incongruity

       as Elicitor of Ethnic Self-Awareness and Differential Advertising Response,” Journal of

       Advertising, 32 (4), 7-17.

------ and Richard F. Yalch (2007), “Consumer Response to Polysemous Brand Slogans,”

       Journal of Consumer Research, 33 (March), 515-22.

Edell, Julie A. and Marian C. Burke (1987), “The Power of Feelings in Understanding

       Advertising Effects,” Journal of Consumer Research, 14 (3), 421-33.

Eisenberg, Eric M. (1984), “Ambiguity as Strategy in Organizational Communication,”

       Communication Monographs, 51 (September), 227-42.

Ekman, Paul and Wallace V. Friesen (1975), Unmasking the Face. Englewood Cliffs, NJ:

       Prentice-Hall.




                                              34
Fiedler, Klaus (2007), “Information Ecology and the Explanation of Social Cognition and

       Behavior,” in Social Psychology: Handbook of Basic Principles, 2nd ed., Arie W.

       Kruglanski and E. Tory Higgins, eds. New York: Guilford, 176-200.

Fiske, John (1986), “Television: Polysemy and Popularity,” Critical Studies in Mass

       Communication, 3 (4), 391-408.

Forehand, Mark R., Rohit Deshpandé, and Americus Reed II (2002), “Identity Salience and the

       Influence of Differential Activation of the Social Self-Schema on Advertising Response,”

       Journal of Applied Psychology, 87 (6), 1086-99.

Förster, Jens and Nira Liberman (2007), “Knowledge Activation,” in Social Psychology:

       Handbook of Basic Principles, 2nd ed., Arie W. Kruglanski and E. Tory Higgins, eds.

       New York: Guilford, 201-31.

Frable, Deborrah E.S. (1997), “Gender, Racial, Ethnic, Sexual, and Class Identities,” Annual

       Review of Psychology, 48, 139-62.

Greenlee, Timothy B. (2004), “Mainstream Marketers Advertise to Gays and Lesbians: Strategic

       Issues and Research Agenda,” in Diversity in Advertising, Jerome D. Williams, Wei-Na

       Lee, and Curtis P. Haugtvedt, eds. London: Lawrence Erlbaum Associates, 357-67.

Grier, Sonya A. and Anne M. Brumbaugh (1999), “Noticing Cultural Differences: Ad Meanings

       Created by Target and Non-Target Markets,” Journal of Advertising, 18 (1), 79-93.

------, ------, and Corliss G. Thornton (2006), “Crossover Dreams: Consumer Responses to

       Ethnic-Oriented Products,” Journal of Marketing, 70 (April), 35-51.

------ and Rohit Deshpandé (2001), “Social Dimensions of Consumer Distinctiveness: The

       Influence of Social Status on Group Identity and Advertising Persuasion,” Journal of

       Marketing Research, 38 (May), 216-24.




                                               35
Griffin, Pat (1992), “From Hiding Out to Coming Out: Empowering Lesbian and Gay

       Educators,” in Coming Out of the Classroom Closet, Karen M. Harbeck, ed. New York:

       Harrington Park, 167-96.

Gross, Larry (2005), “The Past and the Future of Gay, Lesbian, Bisexual, and Transgender

       Studies,” Journal of Communication, 55 (3), 508-28.

Herek, Gregory M. and John C. Capitanio (1999), “Sex Differences in How Heterosexuals Think

       about Lesbians and Gay Men: Evidence from Survey Context Effects,” Journal of Sex

       Research, 36 (4), 348-360.

Higgins, E. Tory (1996), “Knowledge Activation: Accessibility, Applicability, and Salience,” in

       Social Psychology: Handbook of Basic Principles, E. Tory Higgins and Arie W.

       Kruglanski, eds. New York: Guilford, 133-67.

------ and C. Miguel Brendl (1995), “Accessibility and Applicability: Some ‘Activation Rules’

       Influencing Judgments,” Journal of Experimental Social Psychology, 31, 218-43.

Holbrook, Morris B. and Rajeev Batra (1987), “Assessing the Role of Emotions as Mediators of

       Consumer Responses to Advertising,” Journal of Consumer Research, 14 (December),

       404-20.

Izard, Caroll E. (1977), Human Emotions. New York: Plenum Press.

Kardes, Frank R. (1988), “Spontaneous Inference Processes in Advertising: The Effects of

       Conclusion Omission and Involvement on Persuasion,” Journal of Consumer Research,

       15 (September), 225-33.

Kates, Steven (1998), Twenty Million New Customers: Understanding Gay Men's Consumer

       Behavior. New York: Haworth Press.




                                              36
------ and Charlene Goh (2003), “Brand Morphing: Implications for Advertising Theory and

     Practice,” Journal of Advertising, 32 (1), 39-68.

Leigh, Thomas W., Arno J. Rethans, and Tamatha Reichenbach Whitney (1987), “Role

       Portrayals of Women in Advertising: Cognitive Responses and Advertising

       Effectiveness,” Journal of Advertising Research, 27 (October/November), 54-63.

Leiss, William, Stephen Kline, and Sut Jhally (1997), Social Communication in Advertising.

       London: Routledge.

Markus, Hazel (1977), “Self-Schemata and Processing Information about the Self,” Journal of

       Personality and Social Psychology, 35 (2), 63-78.

------ and Ziva Kunda (1986), “Stability and Malleability of the Self-Concept,” Journal of

       Personality and Social Psychology, 51 (4), 858-66.

McGuire, William J. (1984), “Search for the Self: Going Beyond Self-Esteem and the Reactive

       Self,” in Personality and the Prediction of Behavior, Robert A. Zucker, Joel Aronoff, and

       A. I. Rabin, eds. New York: Academic Press, 73-120.

McQuarrie, Edward F. and David G. Mick (1992), “On Resonance: A Critical Pluralistic Inquiry

       into Advertising Rhetoric,” Journal of Consumer Research, 19 (September), 180-97.

Mick, David G. and Claus Buhl (1992), “A Meaning-Based Model of Advertising Experiences,”

     Journal of Consumer Research, 19 (December), 317-38.

Miller, Daniel A., Eliot R. Smith, and Diane M. Mackie (2004), “Effects of Intergroup Contact

       and Political Predispositions on Prejudice: Role of Intergroup Emotions,” Group

       Processes and Intergroup Relations, 7, 221-37.

Miller, Elizabeth G. and Barbara E. Kahn (2005), “Shades of Meaning: The Effect of Color and

       Flavor Names on Consumer Choice,” Journal of Consumer Research, 32 (June), 86-92.




                                               37
Morrison, Maria Michelle and Shaffer David R. (2003), “Gender-Role Congruence and Self-

       Referencing as Determinants of Advertising Effectiveness,” Sex Roles, 49 (5/6), 265-75.

Muehling, Darrel D., Russel N. Laczniak, and Jeffrey J. Stoltman (1991), “The Moderating

       Effects of Ad Message Involvement: A Reassessment,” Journal of Advertising, 20 (2),

       29-38.

Muller, Dominique, Charles M. Judd, and Vincent Y. Yzerbyt (2005), “When Moderation is

       Mediated and Mediation is Moderated,” Journal of Personality and Social Psychology,

       89 (6), 852-63.

Nerlich, Brigitte and David D. Clarke (2001), “Ambiguities We Live In: Towards a Pragmatics

       of Polysemy,” Journal of Pragmatics, 33, 1-20.

Oakenfull, Gillian, K. (2004), “Targeting Consumer Segments Based on Sexual Orientation: Can

       Advertisers Swing Both Ways?” in Diversity in Advertising, Jerome D. Williams, Wei-

       Na Lee, and Curtis P. Haugtvedt, eds. London: Erlbaum, 369-81.

------ and Timothy Greenlee (2004), “Three Rules of Targeting Gays and Lesbians in

       Mainstream Media: Lesbians, Lesbians, Lesbians,” Journal of Business Research, 57

       (11), 1276-1285.

------ and ------ (2005), “Queer Eye for a Gay Guy: Using Market-Specific Symbols in

       Advertising to Attract Gay Consumers Without Alienating the Mainstream,” Psychology

       and Marketing, 22 (5), 421-439.

Oakes, Penelope (1987), “The Salience of Social Categories,” in Rediscovering the Group: A

       Self-Categorization Theory, John C. Turner, ed. New York: Basil Blackwell, 117-41.




                                              38
Oyserman, Daphna (2007), “Social Identities and Self-Regulation,” in Social Psychology:

     Handbook of Basic Principles, 2nd ed., Arie W. Kruglanski and E. Tory Higgins, eds. New

     York: Guilford, 432-53.

Peracchio, Laura A. and Joan Meyers-Levy (1994), “How Ambiguously Cropped Objects in Ad

       Photos Can Affect Product Evaluations,” Journal of Consumer Research, 21 (June), 190-

       204.

Preacher, Kristopher J., Derek D. Rucker, and Andrew F. Hayes (2007), “Addressing Moderated

       Mediation Hypotheses: Theory, Methods, and Prescriptions,” Multivariate Behavioral

       Research, 42 (1), 185-227.

Puntoni, Stefano, Jonathan E. Schroeder, and Mark Ritson (2009), “Meaning Matters: Polysemy

       in Advertising,” Journal of Advertising, forthcoming.

Reichert, Tom and Jacqueline J. Lambiase (2003), “One Phenomenon, Multiple Lenses:

       Bridging Perspectives to Examine Sex in Advertising,” in Sex in Advertising, Tom

       Reichert and Jacqueline J., eds. Mahwah, NJ: Erlbaum, 1-8.

Rohlinger, Deana A. (2002), “Eroticizing Men: Cultural Influences on Advertising and Male

       Objectification,” Sex Roles, 46 (3/4), 61-74.

Schumann, David W. (2004), “The Transmission of Prejudice: What Do Our Marketing

       Strategies Really Reinforce?” in Diversity in Advertising, Jerome D. Williams, Wei-Na

       Lee, and Curtis P. Haugtvedt, eds. Mahwah, NJ: Erlbaum, 121-31.

Sender, Katherine (1999), “Selling Sexual Subjectivities: Audiences Respond to Gay Window

       Advertising,” Critical Studies in Mass Communication, 16 (2), 172-96.

Siegel, Sidney and N. John Castellan Jr. (1988), Nonparametric Statistics for the Behavioral

       Sciences. New York: McGraw Hill.




                                               39
Srull, Thomas K. and Robert S. Wyer Jr. (1979), “The Role of Category Accessibility in the

       Interpretation of Information About Persons: Some Determinants and Implications,”

       Journal of Personality and Social Psychology, 37 (10), 1660-72.

Stevens, Lorna, Pauline Maclaran, and Stephen Brown (2003) “Red Time is Me-Time:

       Advertising, Ambivalence, and Women’s Magazines,” Journal of Advertising, 32 (1), 35-

       47.

Stryker, Sheldon and Richard T. Serpe (1994), “Identity Salience and Psychological Centrality;

       Equivalent, Overlapping, or Complementary Concepts?” Social Psychology Quarterly,

       57 (1), 16-35.

Weinberger, Linda E. and Jim Millham (1979), “Attitudinal Homophobia and Support of

       Traditional Sex Roles,” Journal of Homosexuality, 4 (3), 237-46.

Wilke, Michael (1997), “Are They? … Or Aren’t They?” Advertising Age, 68 (31), 11.

Williamson, Judith (1979), Decoding Advertisements. New York: Marion Boyars.

Whittler, Tommy E. and Joan Scattone Spira (2002), “Model’s Race: A Peripheral Cue in

       Advertising Messages?” Journal of Consumer Psychology, 12 (4), 291-301.




                                              40
Figure 1

                                                              Study Stimuli




               Azzaro Visit for Men        Azzaro Visit for Men               Skyy Blue                    Skyy Blue
               Mainstream version          Gay window version                 Mainstream version           Gay window Version




                 Nivea for Men               Nivea for Men                    Bridgestone                 Bridgestone
                 Mainstream version          Gay window version               Mainstream version          Gay window version

Notes: GW = Gay window and MS = Mainstream. The eight counterbalancing conditions are: Azzaro MS-Nivea GW; Azzaro GW-Nivea MS; Nivea MS-
Bridgestone GW; Nivea GW-Bridgestone MS; Skyy MS-Azzaro GW, Skyy GW-Azzaro MS; Bridgestone MS-Skyy GW; Bridgestone GW-Skyy MS


                                                                    41
Figure 2

Results for Hypotheses (Estimated Marginal Means)




                       42
Table 1

                                      Sample Information

      Variable                                               Heterosexual   Gay men
                                                                 men
Age                    Mean:                                    31.12        30.68
                       SD:                                      11.77         8.24
                       Range:                                   15-62        17-63

Relationship status    Single:                                  40.5%        56.6%
                       Divorced:                                 2.7%         .7%
                       In a relationship:                       56.8%        42.7%

Employment             Student:                                 38.5%        28.7%
                       Has a paid job:                          54.7%        64.7%
                       Other (e.g., not paid job):               6.8%         6.6%

Education              Primary school:                           1.3%         0%
                       Secondary school:                        25.7%        25%
                       Attends university/has a university       73%         75%
                       degree:

Gross income           Less than €1.000 monthly (+/-            33.8%        22.1%
(missing data: N=23)   $1,400):
                       Between €1000 and €2000:                 18.9%        28.7%
                       Between €2000 and €4000:                 23.6%        27.2%
                       More than €4000:                         12.8%        16.9%




                                                43
Table 2

              Raw Means and Standard Deviations per Ad Type and Sexual Orientation




                                   Heterosexual men                       Gay men

                           Gay window ad     Mainstream ad    Gay window ad    Mainstream ad

                           Mean      SD      Mean      SD     Mean      SD      Mean    SD

Positive emotions           2.64     1.44     3.11    1.50     3.92     1.56    3.51   1.62

Negative emotions           1.95     1.01     1.76    1.00     1.42     .69     1.55    .85

Attitude toward the ad      3.56     1.37     3.95    1.38     4.81     1.31    4.30   1.44




                                              44
Note

       As suggested by two reviewers, we further analyzed the imagery evoked by the ads

among gay and heterosexual male respondents. The details of the analysis are beyond the scope

of the article. However, we found consistent evidence that gay window ads and mainstream ads

tend to evoke different imagery among gay and heterosexual respondents, despite the implicit

nature of the processes hypothesized by theory and the subtlety of the experimental manipulation.

(For example, gay respondents who identified heterosexual men as the target of the ad did so

more often for the mainstream ads than for the gay window ads with no such effect for

heterosexual respondents).




                                               45
Appendix

                                   Results of Ad-Level Analyses

       The ad-level analyses indicate similar results for the Nivea, Bridgestone, and Skyy ads

and nonsignificant results for the Azzaro ad (i.e., nonsignificant ad type by sexual orientation

interaction on attitudes and on positive and negative emotions, ps > .48). The nonsignificant

results for Azzaro may be a consequence of the loss of power, due to our use of a between-

subjects design for the ad-level analyses (respondents never saw two ads for the same brand) or

the too subtle difference between the gay window and mainstream versions of the Azzaro ad. We

describe the results for the Nivea, Bridgestone, and Skyy ads in this section.

       For hypothesis 1, we ran an ANOVA for each brand on attitudes toward the ad, with ad

type and sexual orientation as between-subjects factors. We also included position in the ad

sequence as a between-subjects factor. The ad type by sexual orientation interaction is significant

for Nivea (F(1, 143) = 10.26, p < .01) and Skyy (F(1, 124) = 9.34, p < .01) and directional but

nonsignificant for Bridgestone (F(1, 125) = 2.17, p = .15). For all three brands, gay participants

report more positive attitudes toward the gay window version of the ad than the mainstream

version of the ad, whereas heterosexual participants report more positive attitudes toward the

mainstream than the gay window version of the ad.

       We tested hypothesis 2 in a similar fashion using positive and negative emotions as

dependent variables. For all three brands, the ad type by sexual orientation interaction is

significant for at least one type of emotions. For Nivea, the interaction is significant for both

positive (F(1, 143) = 5.66, p < .05) and negative (F(1, 143) = 5.03, p < .05) emotions: Gay

(heterosexual) men report more (less) positive emotions and less (more) negative emotions

toward the gay window than the mainstream version of the ad. For Skyy, the interaction is




                                                  46
significant for positive emotions (F(1, 124) = 5.82, p < .05; for negative emotions, p > .76), such

that gay (heterosexual) men report more (less) positive emotions toward the gay window than the

mainstream version of the ad. For Bridgestone, the interaction effect is significant for negative

emotions (F(1, 125) = 9.06, p < .01; for positive emotions, p > .36). Gay (heterosexual) men

report less (more) negative emotions toward the gay window version of the ad than the

mainstream version of the ad.

       Finally, ad-level analyses confirm the mediating role of emotions (hypothesis 3). For

Nivea, when we include positive and negative emotions in the model for attitude toward the ad,

the sexual orientation by ad type interaction becomes nonsignificant (F(1, 139) = 1.73, p > .18),

whereas the influence of emotions is significant (negative emotions, F(1, 139) = 25.46, p < .001,

positive emotions, F(1, 139) = 25.46, p < .001). Negative emotions mediate the interaction effect

on attitude toward the ad for Bridgestone (negative emotions, F(1, 122) = 7.12, p < .01; ad type

by sexual orientation interaction, p > .38), and similarly, positive emotions partially mediate it for

Skyy (positive emotions, F(1, 122) = 93.94, p = .001; ad type by sexual orientation interaction,

F(1, 123) = .3.59, p = .06).




                                                 47

More Related Content

What's hot

THE EXPLORATORY RESEARCH OF THE EFFECT COMMUNICATION MODEL AND EFFECT IMPROVI...
THE EXPLORATORY RESEARCH OF THE EFFECT COMMUNICATION MODEL AND EFFECT IMPROVI...THE EXPLORATORY RESEARCH OF THE EFFECT COMMUNICATION MODEL AND EFFECT IMPROVI...
THE EXPLORATORY RESEARCH OF THE EFFECT COMMUNICATION MODEL AND EFFECT IMPROVI...ijma
 
Public marketing
Public marketingPublic marketing
Public marketingsiep
 
How product and brands offend customers
How product and brands offend customers How product and brands offend customers
How product and brands offend customers soni9
 
Audience theory lesson 22 - 24
Audience theory   lesson 22 - 24Audience theory   lesson 22 - 24
Audience theory lesson 22 - 24Luke Palmer
 
complementary roles of Traditiona and Social Media.pdf
complementary roles of Traditiona and Social Media.pdfcomplementary roles of Traditiona and Social Media.pdf
complementary roles of Traditiona and Social Media.pdfAnjanette Delgado
 
Understanding the effect of customer relationship management effors on custom...
Understanding the effect of customer relationship management effors on custom...Understanding the effect of customer relationship management effors on custom...
Understanding the effect of customer relationship management effors on custom...Wesley Pinheiro
 
Marketing Management Session on CRM
Marketing Management Session on CRMMarketing Management Session on CRM
Marketing Management Session on CRMHarish Lunani
 
C3 impact of target marketing on advertising attitudes[1]
C3   impact of target marketing on advertising attitudes[1]C3   impact of target marketing on advertising attitudes[1]
C3 impact of target marketing on advertising attitudes[1]SNSPA, Bucharest
 
C2111421
C2111421C2111421
C2111421aijbm
 
Destination brand molecule
Destination brand moleculeDestination brand molecule
Destination brand moleculeStanislav Ivanov
 

What's hot (12)

15230423
1523042315230423
15230423
 
THE EXPLORATORY RESEARCH OF THE EFFECT COMMUNICATION MODEL AND EFFECT IMPROVI...
THE EXPLORATORY RESEARCH OF THE EFFECT COMMUNICATION MODEL AND EFFECT IMPROVI...THE EXPLORATORY RESEARCH OF THE EFFECT COMMUNICATION MODEL AND EFFECT IMPROVI...
THE EXPLORATORY RESEARCH OF THE EFFECT COMMUNICATION MODEL AND EFFECT IMPROVI...
 
Public marketing
Public marketingPublic marketing
Public marketing
 
Audience Analysis
Audience AnalysisAudience Analysis
Audience Analysis
 
How product and brands offend customers
How product and brands offend customers How product and brands offend customers
How product and brands offend customers
 
Audience theory lesson 22 - 24
Audience theory   lesson 22 - 24Audience theory   lesson 22 - 24
Audience theory lesson 22 - 24
 
complementary roles of Traditiona and Social Media.pdf
complementary roles of Traditiona and Social Media.pdfcomplementary roles of Traditiona and Social Media.pdf
complementary roles of Traditiona and Social Media.pdf
 
Understanding the effect of customer relationship management effors on custom...
Understanding the effect of customer relationship management effors on custom...Understanding the effect of customer relationship management effors on custom...
Understanding the effect of customer relationship management effors on custom...
 
Marketing Management Session on CRM
Marketing Management Session on CRMMarketing Management Session on CRM
Marketing Management Session on CRM
 
C3 impact of target marketing on advertising attitudes[1]
C3   impact of target marketing on advertising attitudes[1]C3   impact of target marketing on advertising attitudes[1]
C3 impact of target marketing on advertising attitudes[1]
 
C2111421
C2111421C2111421
C2111421
 
Destination brand molecule
Destination brand moleculeDestination brand molecule
Destination brand molecule
 

Similar to Publication Two Birds And One Stone

Nudity in advertising impact on aida model
Nudity in advertising impact on aida modelNudity in advertising impact on aida model
Nudity in advertising impact on aida modelIAEME Publication
 
Read the Job Choice Scenario.Write a 400 word paper answering th.docx
Read the Job Choice Scenario.Write a 400 word paper answering th.docxRead the Job Choice Scenario.Write a 400 word paper answering th.docx
Read the Job Choice Scenario.Write a 400 word paper answering th.docxsodhi3
 
ADVERTISING ETHICS A REVIEW
ADVERTISING ETHICS  A REVIEWADVERTISING ETHICS  A REVIEW
ADVERTISING ETHICS A REVIEWDeja Lewis
 
Investigating the types of e advertising strategyadvertising strategy and i...
 Investigating the types of e advertising  strategyadvertising strategy and i... Investigating the types of e advertising  strategyadvertising strategy and i...
Investigating the types of e advertising strategyadvertising strategy and i...Alexander Decker
 
Investigating the types of e advertising strategyadvertising strategy and i...
 Investigating the types of e advertising  strategyadvertising strategy and i... Investigating the types of e advertising  strategyadvertising strategy and i...
Investigating the types of e advertising strategyadvertising strategy and i...Alexander Decker
 
Investigating the types of e advertising strategyadvertising strategy and i...
 Investigating the types of e advertising  strategyadvertising strategy and i... Investigating the types of e advertising  strategyadvertising strategy and i...
Investigating the types of e advertising strategyadvertising strategy and i...Alexander Decker
 
Do your employees think your slogan is “fake news?” A framework for understan...
Do your employees think your slogan is “fake news?” A framework for understan...Do your employees think your slogan is “fake news?” A framework for understan...
Do your employees think your slogan is “fake news?” A framework for understan...Ian McCarthy
 
Phonetic Symbolism in Advertising
Phonetic Symbolism in Advertising Phonetic Symbolism in Advertising
Phonetic Symbolism in Advertising Evelyn Pulkowski
 
Advertising Versus Public Relations
Advertising Versus Public RelationsAdvertising Versus Public Relations
Advertising Versus Public Relationsdmichaelson
 
A sociolinguistic analysis of advertising language in
A sociolinguistic analysis of advertising language inA sociolinguistic analysis of advertising language in
A sociolinguistic analysis of advertising language inAlexander Decker
 
Word-of-mouth: a strategy or an outcome?
Word-of-mouth: a strategy or an outcome?Word-of-mouth: a strategy or an outcome?
Word-of-mouth: a strategy or an outcome?Gabriel Borges
 
Does Current Advertising Cause Future Sales?
Does Current Advertising Cause Future Sales?Does Current Advertising Cause Future Sales?
Does Current Advertising Cause Future Sales?Trieu Nguyen
 
Spin 2010 Pr, Journalism
Spin 2010  Pr, JournalismSpin 2010  Pr, Journalism
Spin 2010 Pr, JournalismMartin Hirst
 
A Qualitative Approach To Understanding
A Qualitative Approach To UnderstandingA Qualitative Approach To Understanding
A Qualitative Approach To UnderstandingMary Montoya
 
How do green firms appeal users with pop ups...sibr ppt
How do green firms appeal users with pop ups...sibr pptHow do green firms appeal users with pop ups...sibr ppt
How do green firms appeal users with pop ups...sibr pptDaniel LK
 
My Master's thesis : Shifting advertising strategies and designs - Consequenc...
My Master's thesis : Shifting advertising strategies and designs - Consequenc...My Master's thesis : Shifting advertising strategies and designs - Consequenc...
My Master's thesis : Shifting advertising strategies and designs - Consequenc...Michaël Perez
 
A Critical Discourse Analysis of Advertisments in Malaysia
A Critical Discourse Analysis of Advertisments in MalaysiaA Critical Discourse Analysis of Advertisments in Malaysia
A Critical Discourse Analysis of Advertisments in MalaysiaIhsan Ibadurrahman
 
Comment Advertising Won’t Die, But Defining It WillContinue.docx
Comment Advertising Won’t Die, But Defining It WillContinue.docxComment Advertising Won’t Die, But Defining It WillContinue.docx
Comment Advertising Won’t Die, But Defining It WillContinue.docxmccormicknadine86
 

Similar to Publication Two Birds And One Stone (20)

Nudity in advertising impact on aida model
Nudity in advertising impact on aida modelNudity in advertising impact on aida model
Nudity in advertising impact on aida model
 
Read the Job Choice Scenario.Write a 400 word paper answering th.docx
Read the Job Choice Scenario.Write a 400 word paper answering th.docxRead the Job Choice Scenario.Write a 400 word paper answering th.docx
Read the Job Choice Scenario.Write a 400 word paper answering th.docx
 
ADVERTISING ETHICS A REVIEW
ADVERTISING ETHICS  A REVIEWADVERTISING ETHICS  A REVIEW
ADVERTISING ETHICS A REVIEW
 
Investigating the types of e advertising strategyadvertising strategy and i...
 Investigating the types of e advertising  strategyadvertising strategy and i... Investigating the types of e advertising  strategyadvertising strategy and i...
Investigating the types of e advertising strategyadvertising strategy and i...
 
Investigating the types of e advertising strategyadvertising strategy and i...
 Investigating the types of e advertising  strategyadvertising strategy and i... Investigating the types of e advertising  strategyadvertising strategy and i...
Investigating the types of e advertising strategyadvertising strategy and i...
 
Investigating the types of e advertising strategyadvertising strategy and i...
 Investigating the types of e advertising  strategyadvertising strategy and i... Investigating the types of e advertising  strategyadvertising strategy and i...
Investigating the types of e advertising strategyadvertising strategy and i...
 
Do your employees think your slogan is “fake news?” A framework for understan...
Do your employees think your slogan is “fake news?” A framework for understan...Do your employees think your slogan is “fake news?” A framework for understan...
Do your employees think your slogan is “fake news?” A framework for understan...
 
Phonetic Symbolism in Advertising
Phonetic Symbolism in Advertising Phonetic Symbolism in Advertising
Phonetic Symbolism in Advertising
 
Advertising Versus Public Relations
Advertising Versus Public RelationsAdvertising Versus Public Relations
Advertising Versus Public Relations
 
A sociolinguistic analysis of advertising language in
A sociolinguistic analysis of advertising language inA sociolinguistic analysis of advertising language in
A sociolinguistic analysis of advertising language in
 
Word-of-mouth: a strategy or an outcome?
Word-of-mouth: a strategy or an outcome?Word-of-mouth: a strategy or an outcome?
Word-of-mouth: a strategy or an outcome?
 
Does Current Advertising Cause Future Sales?
Does Current Advertising Cause Future Sales?Does Current Advertising Cause Future Sales?
Does Current Advertising Cause Future Sales?
 
H0391061070
H0391061070H0391061070
H0391061070
 
Spin 2010 Pr, Journalism
Spin 2010  Pr, JournalismSpin 2010  Pr, Journalism
Spin 2010 Pr, Journalism
 
A Qualitative Approach To Understanding
A Qualitative Approach To UnderstandingA Qualitative Approach To Understanding
A Qualitative Approach To Understanding
 
Womm
WommWomm
Womm
 
How do green firms appeal users with pop ups...sibr ppt
How do green firms appeal users with pop ups...sibr pptHow do green firms appeal users with pop ups...sibr ppt
How do green firms appeal users with pop ups...sibr ppt
 
My Master's thesis : Shifting advertising strategies and designs - Consequenc...
My Master's thesis : Shifting advertising strategies and designs - Consequenc...My Master's thesis : Shifting advertising strategies and designs - Consequenc...
My Master's thesis : Shifting advertising strategies and designs - Consequenc...
 
A Critical Discourse Analysis of Advertisments in Malaysia
A Critical Discourse Analysis of Advertisments in MalaysiaA Critical Discourse Analysis of Advertisments in Malaysia
A Critical Discourse Analysis of Advertisments in Malaysia
 
Comment Advertising Won’t Die, But Defining It WillContinue.docx
Comment Advertising Won’t Die, But Defining It WillContinue.docxComment Advertising Won’t Die, But Defining It WillContinue.docx
Comment Advertising Won’t Die, But Defining It WillContinue.docx
 

Publication Two Birds And One Stone

  • 1. TWO BIRDS AND ONE STONE: PURPOSEFUL POLYSEMY IN MINORITY TARGETING AND ADVERTISING EVALUATIONS Stefano Puntoni1 Assistant Professor Erasmus University Joelle Vanhamme2 Assistant Professor Erasmus University Ruben Visscher3, 4 Unilever 1 Rotterdam School of Management, Erasmus University, PO Box 1738, 3000 DR, Rotterdam, the Netherlands. Tel.: +31104081184. Fax: +31104089011. E-mail: spuntoni@rsm.nl. 2 IESEG School of Management, Lille Catholic University, Rue de la Digue 3, 59000 Lille, France. Tel.: +33320545892. Fax: +33320574855. E-mail: j.vanhamme@ieseg.fr. 3 Unilever, European Supply Management, Nassaukade 5, 3071 JL, Rotterdam, the Netherlands. Tel.: +31104395506. Fax: +31104395781. E-mail: ruben.visscher@unilever.com. 4 The authors thank the three anonymous reviewers and the editor for their comments and suggestions. Authors are ranked alphabetically; they contributed equally.
  • 2. Stefano Puntoni (Ph.D., University of London), Assistant Professor of Marketing, Rotterdam School of Management, Erasmus University, spuntoni@rsm.nl. Joelle Vanhamme (Ph.D., Catholic University of Louvain), Associate Professor of Marketing, IESEG School of Management, Lille Catholic University, j.vanhamme@ieseg.fr. Ruben Visscher (M.Sc., Erasmus University), Market Intelligence, European Supply Management, Unilever, ruben.visscher@unilever.com.
  • 3. TWO BIRDS AND ONE STONE: PURPOSEFUL POLYSEMY IN MINORITY TARGETING AND ADVERTISING EVALUATIONS Abstract Current social trends leading to greater consumer diversity require that advertisers pay increasing attention to minority groups within society. This article answers recent calls for research into the effects of purposeful polysemy, or strategic ambiguity, in minority targeting. The results of a quasi-experiment with gay and heterosexual male respondents in the context of gay window advertising not only demonstrate significant positive target market effects of covert minority targeting (i.e., ambiguous ad cues) but also the existence of negative nontarget market effects. Emotional responses fully mediate these effects. Our results further demonstrate the importance of individual differences and product category by suggesting, for example, that gay men who are open about their sexual orientation can be targeted using gay window ads when the product category is congruent with male stereotypes and with mainstream ads when the product category is incongruent with male stereotypes. 1
  • 4. Consider an ad for a pair of jeans, depicting a man romantically kissing a woman. Then imagine the same ad with two men romantically kissing each other. These source cues are unambiguous representations of, respectively, heterosexual and gay relationships. Now, what if instead of kissing each other, the two men in the ad were just standing next to each other? This type of source cue would no longer provide an unambiguous portrayal of a gay relationship, because the two men could be friends, relatives, or lovers. In this article, we explore target and nontarget market effects of covert minority targeting. Following prior work in this area (e.g., Aaker, Brumbaugh, and Grier 2000), we define target market effects as typically positive responses to an advertising message—in terms of attitude toward the ad—among consumers who belong to the target segment. Similarly, we define nontarget market effects as typically negative attitudinal responses to an ad among consumers who are not targeted by the message. Existing research into the effect of target marketing on target and nontarget markets generally focuses on the influence of unambiguous cues, such as a black versus a white person portrayed in the ad (Aaker et al. 2000; Grier and Deshpandé 2001), a romantically involved male couple (Bhat, Leigh, and Wardlow 1998; Oakenfull and Greenlee 2005), or a pink triangle with a gay and lesbian source (Aaker et al. 2000). This focus on unambiguous markers of group membership assumes consumers’ conscious awareness of the intended target of the ads (Brumbaugh and Grier 2006). In addition, by using salient visual cues of group membership (e.g., dark skin, romantic behavior, symbols associated with a subculture), previous literature relies on the implicit assumption that firms adopt overt targeting strategies. Although these assumptions may be warranted in many instances, nonacademic marketing publications have long acknowledged that firms sometimes use ambiguous cues to target multiple segments of consumers with the same message or for fear of alienating nontarget 2
  • 5. consumers, especially in the case of stigmatized minorities (e.g., Greenlee 2004; Oakenfull 2004; Stevens, Maclaran, and Brown 2003; Wilke 1997). In a recent exception to the general lack of interest among academics in practitioners’ purposeful use of ambiguity in advertising copywriting, Brumbaugh and Grier (2006) call for research into the effect of nonsalient physical markers of group membership on the effectiveness of targeted advertising. We address this issue by examining the effect of subtle and ambiguous visual cues on both target and nontarget market effects. That is, we focus on cues open to multiple interpretations. The strategy of using ambiguous cues in advertising messages to generate multiple meanings across a heterogeneous audience entails purposeful polysemy (which we define in more detail subsequently). The two men standing close to each other in the jeans ad is an example of purposeful polysemy in that they may be interpreted as platonic friends or intimates, depending on the audience’s interpretation. In a quasi-experiment, we assess how members of a subculture and of mainstream culture react to ambiguous portrayals of models in advertising by comparing how gay and heterosexual men respond to mainstream and gay window ads. Following previous literature (e.g., Bhat et al. 1998), we select gay and heterosexual male consumers as the target and nontarget markets, respectively, and provide a study setting that is both theoretically and substantively interesting. Heterosexual men tend to stigmatize gay men more than they stigmatize lesbians and, in general, display more bias toward homosexuality than do heterosexual women (Herek and Capitanio 1999; Kite 1983). Thus, the nontarget market effects of covert minority targeting should be especially strong in the specific population selected for our study. In addition, as any casual glance at fashion and lifestyle magazines can attest, ambiguous representational practices hinting at gay culture are common in advertising (Rohlinger 2002). The remainder of this article thus is 3
  • 6. structured as follows: We first review relevant literature on purposeful polysemy and target and nontarget market effects to develop a series of research hypotheses. We then present the results of the empirical study and conclude with a discussion of implications for theory and practice. THEORY Purposeful Polysemy in Advertising Targeting Research into the consequences of ambiguous ad cues tends to conceptualize ambiguity as either a rhetorical device in advertising executions or a marketing gimmick. Literature investigates the ambiguity of both textual (e.g., McQuarrie and Mick 1992) and visual (e.g., Peracchio and Meyers-Levy 1994) advertising elements and uncovers important moderators of the consequences of ambiguous cues on persuasion and choice, such as level of involvement (Kardes 1988), individual differences (Dimofte and Yalch 2007), and the unexpectedness of the ambiguous cues (Miller and Kahn 2005). By definition, ambiguous ad cues are open to multiple interpretations and can thus lead to advertising polysemy: multiple meanings across an audience in response to the same message (Puntoni, Schroeder, and Ritson 2009). In a recent conceptual article, Puntoni and colleagues (2009) highlight the prevalence of purposeful polysemy, which they define as advertising polysemy that results from advertisers’ strategic efforts. Firms may pursue different goals when encoding multiple meanings into a slogan or an ad. An area that has received limited attention but that is especially interesting from a substantive point of view involves the effects of purposeful polysemy with a targeting goal—that is, deliberate attempts to target two or more segments of consumers with a message that is open to multiple interpretations (Puntoni et al. 2009). Despite previous calls for additional work in this area (e.g., Greenlee 2004; Kates and 4
  • 7. Goh 2003), scant research considers purposeful polysemy in advertising targeting, and the few existing studies focus on multi-ethnic advertising (Brumbaugh and Grier 2006). Literature within communication studies and rhetoric attends more to the importance of purposeful polysemy, mostly as a determinant of message popularity (e.g., Browne and Schulze 1990; Ceccarelli 1998). Such largely conceptual work pertains to the antecedents and consequences of purposeful polysemy in a variety of communication settings, such as organizational communication (Eisenberg 1984) or everyday conversation (Nerlich and Clarke 2001). For example, Fiske (1986, p. 392) argues that for a television program to be popular, it must appeal to diverse audiences, which occurs only if the program includes ambiguous elements that are amenable to different interpretations so multiple groups of viewers can find “structural similarities to [their] own social relations and identity.” Thus, purposeful polysemy reportedly allows for the successful targeting of multiple audiences with the same advertising message. When a target segment represents a stigmatized minority within society, purposeful polysemy can become important to avoid the risk of backlash from members of the dominant culture (Bhat et al. 1998). Given the stigma associated with homosexuality, mass media messages designed to appeal to gay consumers in the absence of explicit targeting therefore offer an especially interesting application from both managerial and theoretical points of view. Gay Window Advertising Since the 1980s, the term “gay window advertising”—or “gay vague advertising”—has appeared in media and communication studies to describe advertising that covertly targets gay consumers through the inclusion of ambiguous cues (e.g., Clark 1995; Rohlinger 2002; Sender 1999). Heterosexual men are not meant to perceive these subtle elements as a reference to gay culture, and even for gay men, the cues remain ambiguous (i.e., different interpretations of the 5
  • 8. potential target are possible; Greenlee 2004). According to this conceptualization, gay window ads differ both from explicit appeals targeting gay consumers (e.g., a gay couple; Bhat et al. 1998) and from so-called implicit gay ads (Oakenfull and Greenlee 2005), which feature overt (and unambiguous) gay symbolism (e.g., pink triangle, rainbow). Such symbols are readily recognized by gay consumers and may or may not be understood by heterosexual ones, depending on their subcultural knowledge, but if understood, they leave little space for ambiguity (for a discussion of the difference between gay window and implicit gay ads, see Greenlee 2004). Clark (1995, p. 486) argues that gay window advertising occurs through a dual strategy that both avoids explicit references to heterosexuality and contains “signifiers of sexual ambiguity.” These subtle cues that suggest gay targeting should be characterized by a sufficient degree of ambiguity, so that their “gayness remains in the eye of the beholder.” (Clark 1995, p. 486). In line with Clark’s analysis, we define gay window advertising according to two criteria: (1) the absence of explicit heterosexual cues and (2) the presence of ambiguous cues that could be construed as depicting gay relationships or culture. For example, a common representation of masculinity in print ads is what Rohlinger (2002) refers to as “the erotic male with unknown sexuality.” This type of gay window advertising typically features “images of partially-clothed, muscular men with sexually ambiguous appeal” (Rohlinger 2002, p. 65). Although these ads include no explicit references, their use of imagery can be interpreted as hinting at elements of gay culture (Sender 1999). Despite the interest that gay window ads have generated among commentators and practitioners (Greenlee 2004; Oakenfull 2004), academic marketing literature largely ignores this topic, and the effect of such ads on gay and heterosexual consumers remains unknown (Greenlee 6
  • 9. 2004). For example, do gay men react more positively to such ads than to ads featuring heterosexual cues? How do heterosexual men react when exposed to gay window ads? Target Market Effects of Covert Minority Targeting As a result of increasing diversity in the marketplace, target marketing strategies are gaining importance (Grier and Brumbaugh 1999). Viewers who feel they belong to the target market display more favorable attitudes toward an ad than do viewers who feel excluded (e.g., Leigh, Rethans, and Whitney 1987; Whittler and Spira 2002). As highlighted in the introduction, prior advertising literature tends to focus on ads that unambiguously target a minority, with the implicit assumption that minority consumers recognize the advertisers’ cultural sensitivity. We propose, however, that covert minority targeting carried out through the use of ambiguous cues may produce significant target market effects as well. We present a general social cognitive account of how people interpret ambiguous information, and then discuss target market effects in the case of covert minority targeting. Social cognitive psychology discusses ambiguity in terms of applicability, or the relationship between features of stored knowledge and attended features of a stimulus (Higgins 1996). Accordingly, different interpretations of an event are possible when different knowledge structures are applicable to the processing of incoming information (e.g., Förster and Liberman 2007). Another basic tenet of social cognition is that the accessibility of knowledge structures determines the way ambiguous social information is interpreted (Higgins 1996). For example, in an impression formation task, in which a character’s actions might be interpreted as implying either one of two personality traits, the relative accessibility of the two applicable concepts determines which attribution the person likely makes about that character (Srull and Wyer 1979). Individual interpretations of an ambiguous event therefore are a joint function of applicability 7
  • 10. and accessibility, both chronic (baseline) and temporary (primed). In particular, people with a predisposition toward a certain interpretation of a stimulus likely make that interpretation, even when faced with a considerable amount of ambiguity, because greater chronic accessibility can compensate for weak applicability in interpretations of ambiguous stimuli (Higgins and Brendl 1995). Significantly for our study context, these effects may occur automatically and outside conscious awareness (Higgins 1996). Self-schemas, which store information about the self, tend to enjoy relatively high chronic accessibility (Markus 1977). In particular, consumers’ sense of who they are drives how they make sense of advertising messages (Mick and Buhl 1992), because self-schemas serve as an interpretive framework for incoming applicable information (Markus 1977). Self-schemas that have been the focus of much attention in social psychology are those based on social identities. When a social identity refers to a minority group within society that is characterized by distinctive values, beliefs, and behaviors, we can talk of subcultural self-schemas (Brumbaugh 2002). In general, social self-concepts guide the perception, encoding, and retrieval of applicable information (Oyserman 2007). Although the importance of a social identity to the sense of self can vary substantially among group members (Stryker and Serpe 1994), some identities, such as gender, racial, ethnic, class, and sexual identities (Frable 1997), tend to play key self-identification roles. Self-schemas related to these social identities therefore may be implicated in advertising processing, particularly if those messages include cues that could be interpreted as speaking to the consumer’s in-group. This implication should be especially pertinent when a consumer belongs to a group that represents a minority, as defined by one of these central social identities (e.g., African American, gay), because the distinctiveness of a trait enhances its influence on the sense of self (McGuire 1984; Oakes 1987). For example, the sexual 8
  • 11. self and associated subcultural schemas—which encode information about the subculture—play important roles in how most gay consumers make sense of social information in their everyday lives (e.g., Kates 2002). Covert minority targeting therefore should increase the personal relevance and make ambiguous cues more accessible among minority consumers, with potentially positive repercussions for their responses to the ad. Different processes could underpin positive target market effects in the case of covert minority targeting, including attentional processes (e.g., gay consumers may be more likely to pay attention to ambiguous gay cues than to heterosexual cues), fluency effects (e.g., for gay consumers, ambiguous gay cues may feel more familiar or “natural” than heterosexual cues), and implicit identification (e.g., gay consumers may be more likely to experience a sense of affiliation with the models featured in gay window ads than with those in mainstream ads). In summary, we propose that positive target market effects can occur in the case of advertising that covertly targets a minority group by featuring subtle cues congruent with that minority’s lifestyle or subcultural values. In the context of gay men’s responses to gay window and mainstream ads, this proposal leads to the following hypothesis: H1a: Gay men have more positive attitudes toward gay window ads than toward mainstream ads. Nontarget Market Effects of Covert Minority Targeting Existing literature also documents negative nontarget market effects—that is, decreased preference for ads when people feel they do not belong to the target audience (Aaker et al. 2000; Brumbaugh and Grier 2006). These market effects are especially evident among nondistinctive consumers when the distinctive source portrayed in the ad belongs to a controversial minority, 9
  • 12. such as gay men (Bhat et al. 1998; Grier and Brumbaugh 1999; Oakenfull and Greenlee 2005). Negative nontarget market effects often are cited as a major impediment to the overt targeting of minority groups (e.g., Grier and Brumbaugh 1999). As a consequence, exploring nontarget market effects in the case of advertising messages that covertly target minorities (especially stigmatized ones) is substantively interesting. Members of a dominant culture should have some knowledge about the values and behaviors of prominent minorities, which should be activated by salient cues. For example, in the case of messages targeting members of the gay subculture, salient cues could be a same-sex couple captured in a romantic moment or explicit textual information (“gay pride”). Such cues are likely to be interpreted by heterosexual viewers as targeting a gay minority, which may lead to less favorable attitudes toward the message (Bhat et al. 1998). However, members of dominant cultures often lack detailed knowledge about the subculture (Grier and Brumbaugh 1999). For these consumers, subcultural knowledge should mostly take the form of stereotypes and should contain little self-referential information (Fiedler 2007). As a consequence, ambiguous cues featured in messages that covertly target a minority should be less likely to activate subcultural schemas among members of the dominant culture (Brumbaugh 2002; Grier and Brumbaugh 1999). In contrast with the results from Bhat and colleagues’ (1998) study, which uses an ad with two men romantically involved, heterosexual men exposed to a gay window ad should not be as likely to interpret the ambiguous cues (e.g., two men standing next to each other in a way that suggests some sort of close relationship) as gay cues. Covert minority targeting thus might prevent negative nontarget market effects. These arguments encapsulate the promise of covert minority targeting: executions that can deliver positive target market effects 10
  • 13. among members of a minority without inducing negative nontarget market effects (e.g., Puntoni et al. 2009). However, negative nontarget market effects might emerge even in the absence of explicit awareness of minority targeting. Semioticians and critical and cultural theorists often criticize advertising on the grounds that ads help perpetuate the status quo within a society by encouraging consumers to interpret reality in ways that benefit the members of the dominant culture (e.g., Leiss, Kline, and Jhally 1997; Schumann 2004; Williamson 1979). For example, in the world depicted by advertising, women typically are in charge of household work, and men are sexually attracted to women. If most ads are designed to appeal to consumers who identify with mainstream culture, and if these consumers display positive target market effects, then the absence of cues emphasizing mainstream cultural values alone should result in less positive ad evaluations among the members of mainstream culture. We have defined gay window ads according to the absence of heterosexual cues and the presence of ambiguous cues. This discussion then suggests that heterosexual men may respond more negatively to gay window ads than to mainstream ads. H1b: Heterosexual men have more positive attitudes toward mainstream ads than toward gay window ads. The Role of Emotional Responses Although most studies focus exclusively on attitudinal effects (e.g., Aaker et al. 2000; Brumbaugh 2002; Oakenfull and Greenlee 2004, 2005), literature pertaining to group processes and intergroup relations shows that for some groups, such as gay men, emotional reactions are the strongest predictor of overall evaluations (Miller, Smith, and Mackie 2007). In addition, emotional reactions elicited by ads mediate the effect of the ad content on attitudes (Edell and 11
  • 14. Burke 1987; Holbrook and Batra 1987)—a mediating role confirmed by Bhat and colleagues (1998) in the context of target marketing. The arguments that lead to hypothesis 1 also should apply in the context of emotional responses. In particular, we expect emotional responses to gay window and mainstream ads to reflect the interpretive frames of gay and heterosexual consumers. Accordingly, gay (heterosexual) men should experience more (less) positive emotions and less (more) negative emotions in the case of gay window compared with mainstream ads. Moreover, we expect emotional responses to mediate the joint effect of sexual orientation and ad type on attitudes toward the ad. H2: Sexual orientation moderates emotions elicited by gay window and mainstream ads, such that (a) for gay men, gay window ads generate stronger positive emotions and weaker negative emotions than do mainstream ads, whereas (b) for heterosexual men, mainstream ads generate stronger positive emotions and weaker negative emotions than do gay window ads. H3: Positive and negative emotions mediate the influence of sexual orientation on attitudes toward gay window and mainstream ads. The Role of Individual Differences and Product Category Our previous hypotheses do not take into account the role of heterogeneity among gay and heterosexual men. However, individual differences among both groups likely help explain variations in their responses to gay window and mainstream advertising. For example, Bhat and colleagues (1998) show that attitudes toward homosexuality moderate heterosexual men’s negative reactions to explicit gay advertising. In this section, we therefore focus on two individual differences that should be especially relevant to the discussion of target and nontarget market effects in the context of gay window advertising. 12
  • 15. Gay men vary in the degree to which they identify with being gay (i.e., are at different stages of the coming out process) and express their gay identity to others (Kates 1998; Oakenfull 2004). This individual difference influences how gay consumers relate to the subculture (Kates 1998); we therefore use degree of gay openness to investigate differences in gay men’s responses to gay window and mainstream ads. Moreover, heterosexual men vary in their degree of acceptance of homosexuality, with consequences for their responses to the gay subculture (Bhat et al. 1998; Herek and Capitanio 1999). Attitudes toward homosexuality among heterosexual men therefore may influence consumers’ reactions to gay window and mainstream ads. Degree of gay openness and attitudes toward homosexuality should help explain the ad evaluations offered by gay and heterosexual men, because they may capture differences across individuals in their strength of opposition to or endorsement of gender stereotypes and traditional gender roles. If this premise is accurate, the product category advertised should be a crucial moderator of the effect of individual differences on gay and heterosexual men’s responses to purposeful polysemy in advertising targeting. Products vary in the extent to which they fit prevailing gender stereotypes. Although some product categories (e.g., sanitary napkins) are used only by one gender, many others are ascribed to a single gender by dominant stereotypes (Alreck 1994; e.g., do-it-yourself equipment is for men). Dramatic social changes in the past 30 years have challenged stereotypical views of appropriate user groups, though gender stereotypes for product usage remain prevalent and influence the way people spontaneously feel about product categories (Browne 1998). Individual differences in the degree to which gay and heterosexual men relate to traditional views of sexuality thus may explain differences among gay and heterosexual respondents in their 13
  • 16. reactions to ambiguous gay and mainstream cues in ads that promote products that vary in their level of congruence with prevailing gender stereotypes (e.g., face moisturizer versus car tires). Among gay people, Chung (2001) notes five identity management strategies: acting (i.e., engaging in a heterosexual relationship to mislead people about the person’s sexual orientation), passing (i.e., fabricating information to be perceived as heterosexual), covering (i.e., omitting or censoring information that would identify oneself as gay), implicitly out (i.e., open and honest about sexual orientation without labeling oneself as gay), and explicitly out (i.e., openly identifying as gay). The last four strategies parallel the gay identity development progress identified by Griffin (1992). Compared with people in earlier stages of the coming out process, gay consumers who are explicitly out are more likely to endorse minority cultural values, be committed to their gay identity, and criticize society’s negative evaluation of homosexuality (Kates 1998). Oakenfull (2004) argues that targeting gay consumers by inserting implicit gay ads in mainstream media may provoke negative reactions from gay consumers who are especially committed to their gay identity. Explicitly out gay consumers may oppose ambiguous, or “closeted,” references to the behaviors and values of the gay community, on the grounds that these messages accept society’s restrictive sexual rules (Gross 2005). As a consequence, Oakenfull (2004) suggests that explicitly out gay consumers are best targeted with overtly gay messages placed in gay media. In the current setting, explicitly out gay men should react less positively than gay men who are at an earlier stage of the coming out process to both mainstream and gay window ads. However, ads that are inconsistent with traditional gender roles may mitigate such negative reactions among gay men who are explicitly out. In particular, mainstream ads for products that are incongruent with male stereotypes and gay window ads for 14
  • 17. products traditionally considered the prerogative of heterosexual men appear to challenge prevailing gender stereotypes. We therefore propose: H4: Compared with gay men at earlier stages of the coming out process, explicitly out gay men hold more negative attitudes toward (a) mainstream ads for products congruent with traditional male stereotypes and (b) gay window ads for products incongruent with traditional male stereotypes. A similar line of reasoning applies to the influence of attitudes toward homosexuality on heterosexual men’s responses to gay window and mainstream ads. For heterosexual men, more negative attitudes toward homosexuality reflect a stronger endorsement of traditional (mainstream) notions of sexuality (Weinberger and Millham 1979). Men who hold traditional views of sexuality and sex roles like stereotypically male products more when they are endorsed by men than by women and like stereotypically female products more when they are endorsed by women than by men (Morrison and Shaffer 2003). In the context of our study, heterosexual male consumers who hold more negative attitudes toward homosexuality should react more positively to mainstream ads for male- stereotypical products than men who hold more positive attitudes toward homosexuality, because these ads represent the most stereotypical ad type/product type combination. In contrast, gay window ads for products that are incongruent with traditional male stereotypes neither include traditional mainstream cues designed to appeal to heterosexual men nor advertise products that are traditionally categorized as male products. In other words, heterosexual men with traditional views might perceive that they are not targeted at all by such ads, whereas men who share traditional values to a lesser extent might still consider themselves part of the target. However, because traditional cues that appeal to heterosexual men are not present, men who are less 15
  • 18. traditional should like gay window ads for incongruent products less than heterosexual men who endorse traditional views. We therefore propose: H5: Among heterosexual men, a more negative attitude toward homosexuality is associated with more positive attitudes toward (a) mainstream ads for products congruent with traditional male stereotypes and (b) gay window ads for products incongruent with traditional male stereotypes. METHOD To test our hypotheses, we conducted a quasi-experiment in which we asked a sample of male consumers (gay and heterosexual) to evaluate gay window and mainstream ads. To provide a managerially relevant test of the framework, we used real ads, available in both gay window and mainstream versions, in accord with our definition of gay window advertising. Design and Participants The study used a mixed 2 (sexual orientation: gay vs. heterosexual) × 2 (ad type: gay window vs. mainstream) × 2 (ad type order: gay window first vs. mainstream first) × 4 (brand order) design. We measured sexual orientation according to self-reports, and the ad type manipulation applied within-subjects. In addition, we included two between-subjects counterbalancing factors for ad type order and brand order. All participants thus reviewed two ads, a gay window and a mainstream ad, each for a different brand, and were randomly assigned to complete one of eight different versions of the survey. The specific brand pairs in the four brand order conditions were determined randomly (see Figure 1 for specific brand pairs). In this design, we can assess hypotheses 1–3 through an analysis of the sexual orientation × ad type interaction on attitudes toward the ad and emotional responses. 16
  • 19. To test hypotheses 4 and 5, which posit separate effects for gay and heterosexual men related to the interaction between individual differences and product category, we measured gay openness among gay respondents (explicitly out vs. not explicitly out) and attitudes toward homosexuality among heterosexual respondents. Furthermore, we included a manipulation of product category (congruent vs. incongruent with male stereotypes). Two hundred eighty-two men participated in an online study (148 self-identified as gay) in return for a chance to win a €15 (approximately $21) gift voucher from a popular website. Because we collected data in the Netherlands, the language used in all instructions and questions was Dutch. To recruit participants, we turned to various channels, including an advertisement for the study website (presented as research on advertising effectiveness) posted on a Dutch site on which consumers interested in academic research can sign up and be contacted for research participation. In addition, to recruit a sufficiently large number of gay respondents, we used channels targeting online gay communities (www.gay.nl). Stimuli Eight print advertisements served as stimuli in this study. The stimulus ads are real ads, selected following an extensive analysis of materials related to gay window advertising among managerial publications, websites, and gay media. To guarantee ad comparability in the two ad type conditions, the selected ads appear in both gay window and mainstream formats. Specifically, for each campaign, the two versions of the ad are identical in layout, slogan, and textual information and differ only in that the mainstream version contains heterosexual references, whereas the gay window version uses more ambiguous references. Eau de toilette, facial cream, car tires, and alcohol (vodka) are the categories featured in the ads. Previous studies have shown that beauty products and toiletries are perceived as 17
  • 20. typically feminine products, whereas alcohol and car items are typically masculine products (Alreck 1994; Morrison and Shaffer 2003). To confirm the stronger association between heterosexual men and vodka and car tires and their weaker association with eau de toilette and facial cream, we carried out a pretest. Thirteen male respondents evaluated (on five-point Likert scales) the extent to which they associated eau de toilette, vodka, car tires, and facial cream with women, heterosexual men, and gay men. The aim of the pretest is to confirm that certain product categories tend to be considered the prerogative of men, whereas others are not. Because women and gay men represent outgroups for heterosexual men, we averaged the scores for the women and gay men categories. As expected, vodka and car tires are associated significantly more with heterosexual men than with the outgroup (M = 3.77 vs. 2.38, F(1, 12) = 8.29, p < .05, and M = 3.62 vs. 1.92, F(1, 12) = 15.53, p < .01, respectively), whereas the opposite pattern emerges for facial cream (M = 2.31 vs. 4.00, F(1, 12) = 12.15, p < .01) and eau de toilette (M = 3.08 vs. 4.08, F(1, 12) = 6.64, p < .05). The gay window and mainstream ads feature the following products: Azzaro Visit eau de toilette for men, Nivea for Men facial cream, Bridgestone Turanza tires, and Skyy Blue vodka (the ads had appeared in either U.S. or German gay and mainstream magazines). The gay window ads come from the database of The Commercial Closet (www.commercialcloset.org), an association scrutinizing the advertising industry’s targeting of gay and lesbian consumers. To obtain the mainstream versions, we contacted the advertisers or located them on online databases of print advertisements. Two of the gay window ads (Azzaro and Nivea) promote products that are incongruent with traditional male stereotypes (perfume and face moisturizer), and the other two (Bridgestone and Skyy) promote products that are congruent with traditional male stereotypes (tires and alcohol). We present the stimuli in Figure 1. 18
  • 21. ---------- Figure 1 about here ---------- Compared with the mainstream versions, the gay window ads do not contain any cues that suggest heterosexual relationships. In addition to the lack of explicitly heterosexual cues, the gay window versions feature details (absent in the mainstream version) that suggest ambiguity in the sexual orientation of the male model. In the Azzaro ad, this ambiguity derives from the naked torso of the model and a less assertive facial expression. The Nivea gay window ad includes a mirrored disco ball (in place of the female head) and bright colors surrounding the disco ball. The ambiguity in the gay window versions of the Bridgestone and Skyy ads emerges from the introduction of a male companion. In both versions of these ads, the posture and position of the two models suggest some connection between them (i.e., leaning toward or touching each other), but without a clear cue to disambiguate the nature of their relationship. Procedure and Measures The study website randomly assigned respondents to one of eight versions of the survey (see Figure 1 for the eight randomized sets of stimuli). After a short introduction, the website presented the two ads and, for each, asked respondents to answer a series of questions. The dependent variables included measures of attitudes toward and emotional responses to the ads. To measure attitudes, we adopted seven seven-point semantic differential scales used by Muehling, Laczniak, and Stoltman (1991) (e.g., bad–good, unattractive–attractive, unappealing– appealing); for emotions, we used 18 items from the Differential Emotion Scale (Izard 1977) to capture Ekman and Friesen’s (1975) basic emotions (e.g., “this ad makes me feel delighted/happy/sad/disgusted,” seven-point Likert scales, from “strongly disagree” to “strongly agree”). After the dependent variables, an open-ended question appeared for each ad, asking the respondent to describe the type of person targeted by the ad. We used this open-ended measure 19
  • 22. to elicit ad meanings without drawing attention to specific ad elements and without imposing a priori notions about viable interpretations for these ads. A content analysis of these data helped validate the assumption that the implicit target and nontarget market effects predicted by the theory occur in the absence of explicit target market recognition. The final part of the study included questions about various socioeconomic factors (age, income, education, geographical residence, relationship status) to check the comparability of the gay and heterosexual samples. The study concluded with questions about the respondents’ sexual orientation. Participants completed the ATG-S4 scale, which measures attitudes toward homosexuality (Herek and Capitanio 1999) with four seven-point Likert items (e.g., “homosexuality is a natural expression of sexuality,” “I think male homosexuals are disgusting” [reversed]). The item pertaining to the respondent’s own sexual orientation offered three response categories: heterosexual, gay, and bisexual (no respondent selected the third option). For respondents who self-identified as gay, the next item inquired about their level of openness about their sexuality, based on Chung’s (2001) categories: (1) “I am sure nobody knows and I do not want anybody to know about it. I am engaged in heterosexual relationships and have a heterosexual lifestyle” (acting); (2) “I assume other people do not know. I sometimes make up things which are not true, to be sure that I will pass as straight” (passing); (3) “it is possible that some people might suspect it but I do not know what they really know. I often omit or censor things to avoid to be identified as homosexual” (covering); (4) “especially in new situations, I am not always open about my sexuality, but it is not a secret. If people ask me about it directly, I will not deny it” (implicitly out); and (5) “I am open about my sexuality and when I talk to other people I do not avoid subjects around my sexual orientation. Everybody is allowed to know it, some see me as ‘gay’” (explicitly out). 20
  • 23. RESULTS Sample and Measure Checks Because sexual orientation is not randomly assigned, we checked the comparability of the two samples and found no significant differences in age, income, education level, or employment (ps > .07). Table 1 presents demographic information for the two groups of respondents. The only significant differences pertain to relationship status (more gay respondents reported being single than their heterosexual counterparts, χ²(1) = 5.64, p < .05) and attitudes toward homosexuality (t(282) = -9.89, p < .001). Unsurprisingly, gay participants (M = 6.84 on 7-point scale) display more positive attitudes toward homosexuality than heterosexual participants (M = 5.81). Among gay respondents, 13% are explicitly out and 87% are not explicitly out (2% belong to the passing category, 22% covering, and 63% are implicitly out). ---------- Table 1 about here ---------- We conducted factor analyses of emotions, attitudes toward the ad, and attitudes toward homosexuality. For emotions, the eigenvalue criteria indicate three factors that explain 67% of the variance for gay window ads and 69% for mainstream ads: positive emotions (gay window α = .89; mainstream α = .88; 3 items), negative emotions (gay window α = .93, mainstream α = .94; 12 items), and surprise (gay window α = .77, mainstream α = .78; 3 items). Because surprise is neither a positive nor a negative emotion (Ekman and Friesen 1975), we do not discuss it further. For attitudes toward gay window and mainstream ads, respectively, the one-factor solution explains 72% (α = .93; 7 items) and 69% (α = .92; 7 items) of the variance. The one- factor solution for attitudes toward homosexuality explains 67% of the variance (α = .82; 4 items). Each variable (i.e., positive and negative emotions, attitudes toward the ad and homosexuality) was aggregated by taking the mean of its respective items. 21
  • 24. Ad-Evoked Imagery An important assumption of this research is that the ambiguous cues featured in gay window ads can influence consumers without their explicit awareness of gay targeting. To validate the subtlety of the ambiguous gay cues, we content analyzed participants’ answers regarding the perceived target of the ads and dichotomized the data according to whether participants identified gay men among the targeted consumers. Confirming the subtlety of the ad type manipulation, most respondents (93% heterosexual, 92% gay participants) did not mention gay men as the target of the gay window ads (2.5% of respondents mentioned a gay target for mainstream ads).1 Attitudes toward the Ad Hypothesis 1 predicts an interaction between sexual orientation and ad type on attitudes toward the ad, such that gay (heterosexual) participants should display a relative preference for gay window (mainstream) ads. To test this hypothesis, we estimated a repeated-measures ANOVA on attitudes toward the ad, with the scores for the gay window and mainstream ads as the within-subjects factor and sexual orientation as the between-subjects factor (Table 2; Figure 2a). The order of ad presentation and brand counterbalancing also served as between-subjects factors (the Appendix reports the ad-level analyses). ---------- Figure 2 and Table 2 about here ---------- A significant main effect of sexual orientation (F(1, 264) = 36.99, p < .001; gay participants rate ads higher than heterosexual participants, M = 4.55 vs. 3.75) is subsumed by the hypothesized ad type by sexual orientation interaction (F(1, 264) = 16.75, p < .001). Gay participants report more positive attitudes toward gay window (M = 4.81) than mainstream ads (M = 4.30; F(1, 124) = 6.38, p < .05); heterosexual participants report more positive attitudes 22
  • 25. toward mainstream (M = 3.95) than gay window ads (M = 3.56; F(1, 140) = 10.89, p < .01). The main effect of ad type is nonsignificant (p > .78). These findings provide support for hypothesis 1. Emotional Responses Hypothesis 2 predicts an interaction between sexual orientation and ad type for positive and negative emotions, in line with the interaction predicted in hypothesis 1. The correlations between negative and positive emotions are low (r = -.17 for gay window ads, r = -.07 for mainstream ads). As in the case of attitudes, the significant main effect of sexual orientation for both positive and negative emotions (F(1, 265) = 31.48, p < .001 and F(1, 257) = 15.32, p < .001, respectively; gay males report stronger positive emotions, M = 3.71, and weaker negative emotions, M = 1.47, than heterosexual males, M = 2.88 and M = 1.86, respectively) is subsumed by the hypothesized interaction between sexual orientation and ad type for both positive and negative emotions (F(1, 265) = 14.27, p < .001 and F(1, 257) = 11.70, p < .001, respectively; differences in degrees of freedom are due to missing values; see Figures 2b and 2c). Gay participants report less negative emotional responses for gay window (M = 1.42) than mainstream ads (M = 1.55; F(1, 122) = 3.87, p = .05), as well as marginally more positive emotional responses for gay window (M = 3.92) than mainstream ads (M = 3.51; F(1, 127) = 3.27, p = .07). Moreover, heterosexual participants report more positive emotional responses for mainstream (M = 3.11) than gay window ads (M = 2.64; F(1, 138) = 16.94, p < .001) and less negative emotional responses for mainstream (M = 1.76) than gay window ads (M = 1.95; F(1, 135) = 8.12, p < .01). These findings support hypothesis 2. Mediated Moderation 23
  • 26. Hypothesis 3 predicts that the joint effect of sexual orientation and ad type on attitudes should be mediated by emotional responses. Our theoretical framework therefore presents a case of mediated moderation (Muller, Judd, and Yzerbyt 2005; see also Model 2 in Preacher, Rucker, and Hayes 2007). When we include negative and positive emotions in the model for attitudes toward the ad, which we used to test hypothesis 1, the influence of emotions is significant. Specifically, the coefficient for negative emotions is significant for both gay window ads and mainstream ads (β = -.38, F(1, 247) = 21.15, p < .001 and β = -.55, F(1, 247) = 16.07, p < .001, respectively), as are the coefficients for positive emotions (β = .59, F(1, 247) = 103.62, p < .001 and β = .56, F(1, 247) = 121.59, p < .001, respectively). In this model, the sexual orientation by ad type interaction (F(1, 247) = 2.0, p > .15) and the main effect of sexual orientation (F(1, 247) = 1.49, p >.22) become nonsignificant, in support of hypothesis 3: Emotional responses fully mediate the joint effect of sexual orientation and ad type on attitudes toward the ad. Gay Men: Gay Openness and Product Category Hypothesis 4 predicts that gay respondents who are explicitly out should report more negative attitudes toward (a) mainstream ads for product categories that are congruent with male stereotypes and (b) gay window ads for product categories that are incongruent with male stereotypes, as compared to other gay men. Therefore, for the subsequent analyses, we used data from gay respondents only and estimated separate models for gay window and mainstream ads. Specifically, for each ad type, we estimated an ANOVA on attitudes toward the ad with a dichotomous measure of gay openness (explicitly out vs. not explicitly out) and product category (congruent vs. incongruent with male stereotypes) as between-subjects factors. As in previous analyses, we added the order of ad type presentation as a between-subjects factor (we did not 24
  • 27. include the brand order counterbalancing, because its inclusion leads to linear dependence when product category is a predictor). We represent the results graphically in Figures 2d and 2e. For mainstream ads, the gay openness by product category interaction is significant (F(1, 125) = 6.64, p = .01). Explicitly out respondents report more negative attitudes toward mainstream ads for product categories congruent with male stereotypes (M = 2.73) than do participants who are not explicitly out (M = 4.36; F(1, 62) = 9.10, p < .01), but no association emerges between gay openness and ad liking in the case of mainstream ads for product categories incongruent with male stereotypes (p > .60). For gay window ads, the gay openness by product category interaction is marginally significant (F(1, 127) = 2.89, p < .10). Explicitly out respondents report marginally more negative attitudes toward gay window ads for product categories incongruent with male stereotypes (M = 3.92) than do participants who are not explicitly out (M = 4.78; F(1, 55) = 3.70, p = .06), but no association exists between gay openness and attitudes in the case of gay window ads for product categories congruent with male stereotypes (p > .60). The results therefore provide support for hypothesis 4. Heterosexual Men: Attitudes toward Homosexuality and Product Category Hypothesis 5 predicts a reverse of hypothesis 4 for heterosexual men and attitudes toward homosexuality. Accordingly, more negative attitudes toward homosexuality should be associated with more positive evaluations of (a) mainstream ads for products congruent with and (b) gay window ads for products incongruent with traditional male stereotypes. Among heterosexual respondents, scores on attitudes toward homosexuality are very high (M = 5.81 on 7-point scale), perhaps as a result of either the well-documented tolerance of Dutch society or socially desirable responding. Regardless, such high scores lower the sensitivity of the measure and its ability to sustain hypotheses. In particular, one item (“a man who is homosexual 25
  • 28. is just as likely to be a good person as anyone else”) presents a problematic distribution, with 70% of heterosexual respondents using the rightmost endpoint of the scale. This skewed distribution raises a concern about possible ceiling effects, because the answers are significantly higher than those for any of the remaining items (M = 6.52 vs. 5.57 for the average of the three remaining items; p < .0001), resulting in lower variance (standard deviation = .94 vs. 1.35; p < .0001). Therefore, we excluded this item and used the average of the remaining items as our measure of attitudes toward homosexuality, after reversing two of them (α = .79). To test hypothesis 5, we adopt an approach similar to that for hypothesis 4. We estimated separate general linear models for gay window and mainstream ads, with attitudes toward homosexuality, product category, and order of ad type presentation as predictors. We treated (mean-centered) attitudes toward homosexuality as a continuous variable (Aiken and West 1991). For mainstream ads, we observe a significant interaction between attitudes toward homosexuality and product category (F(1, 140) = 3.89, p = .05). Respondents with more negative attitudes toward homosexuality like mainstream ads for products congruent with male stereotypes marginally more (β = -.38, F(1, 54) = 2.88, p < .10). This result is interesting because it mirrors the joint effect of gay openness and product category for gay respondents, as reported for the mainstream ads. Attitudes toward homosexuality do not predict attitude toward mainstream ads for products that are incongruent with male stereotypes (p > .27). Figure 2f provides a representation of these results (for representational purposes, attitudes toward homosexuality are dichotomized). For gay window ads, none of the coefficients is significant (ps > .23). Thus, only the first part of hypothesis 5 receives support. DISCUSSION 26
  • 29. Despite practitioners’ increasing attention to the issue of purposeful polysemy in advertising targeting, research on this topic remains lacking. We extend existing literature by investigating the target and nontarget market effects of purposeful polysemy and thereby respond to calls for research into the effect of using less visible physical markers of group membership in advertising targeting (Brumbaugh and Grier 2006; Greenless 2004; Kates and Goh 2003; Oakenfull and Greenlee 2005; Puntoni et al. 2009). By focusing on a stigmatized minority—gay men—we provide a strong test of the effect of purposeful polysemy. We conducted a quasi- experiment in which gay and heterosexual men evaluated gay window and mainstream ads. Crossover interactions occurred for attitudes toward the ad and emotional responses (both positive and negative), such that gay men evaluated the gay window ads more positively than the mainstream ads, and heterosexual respondents did the opposite. Moreover, emotional responses fully mediated the effect of ad type and sexual orientation on attitudes, a finding that extends prior research on the mediation of emotional responses on ad liking (e.g., Bhat et al. 1998) to a situation in which consumers have no conscious awareness of advertising targeting. We found a significant effect of product category and individual differences. Compared with gay men in earlier stages of the coming out process, gay men who are explicitly out responded more negatively to gay window ads for product categories incongruent with prevailing male stereotypes and to mainstream ads for product categories congruent with male stereotypes. Moreover, heterosexual participants with more negative attitudes toward homosexuality tended to respond more positively to mainstream ads for product categories congruent with male stereotypes. The analyses of the role of individual differences and product category on consumer responses to gay window and mainstream ads provide converging evidence about the role of consumers’ worldview and sense of self for the processing of advertising cues, as well as the 27
  • 30. interaction between product and ad characteristics in determining consumer responses to mainstream and gay window ads. Implications, Limitations, and Further Research Gay men responded positively to gay window ads. In addition, the large majority of respondents—both gay and heterosexual—failed to identify gay men as part of the target market. These findings are important because, to our knowledge, this article provides the first formal test of whether purposeful polysemy in minority targeting can produce positive target market effects. The results therefore demonstrate that purposeful polysemy is a communication strategy that can be helpful in targeting consumers who belong to a minority within society, hence answering recent calls for research on advertising polysemy (e.g., Kates and Goh 2003; Puntoni et al. 2009). The results also add to previous research on target market effects (e.g., Aaker et al. 2000; Grier and Brumbaugh 1999) by extending prior findings to the substantively and theoretically important case of subtle group identifiers and ambiguous ad cues (Brumbaugh and Grier 2006). Despite their lack of awareness of gay targeting, heterosexual men responded negatively to gay window ads. In the case of minority targeting, the size of the target market is, by definition, smaller than that of the nontarget market. In recent years, purposeful polysemy has been often heralded as a “win-win” targeting strategy (e.g., Greenlee 2004; Kates and Goh 2003; Puntoni et al. 2009). However, the trade-off between target and nontarget market effects demonstrated by our findings challenges the viability of this strategy: If purposeful polysemy promises positive results among a (relatively small) target market and negative results among a (larger) nontarget market, managers should be careful about adopting this strategy, at least when targeting stigmatized minorities. Advertisers should conduct careful pretesting among both target and nontarget markets before engaging in purposeful polysemy. It would be a mistake, however, 28
  • 31. to interpret our findings as implying a general dismissal of the strategy, because in different circumstances, the conditions that lead us to predict negative nontarget market effects may not exist. Following current practice in mainstream advertising and most academic research on gay advertising (Oakenfull and Greenlee 2004), we focused on gay male cues, but lesbian source cues tend to engender less negative responses among heterosexual consumers than do gay male source cues (Oakenfull and Greenlee 2004). Advertising with ambiguous lesbian cues therefore may be especially interesting from a managerial point of view, because it may prompt positive target market effects while reducing the risk of negative nontarget market effects. More generally, the critical aspects that distinguish a subculture from mainstream culture may not be reflected in the stylistic elements often used in ads, such that the basis for predicting negative nontarget market effects (i.e., negative consequences of the absence of mainstream cultural cues) may be weaker. For example, consider an advertiser in a conservative Christian market that considers using purposeful polysemy to target families of a religious minority. If both sub- and mainstream cultures share a patriarchal view of the family, it may be possible to target families belonging to the religious minority covertly while still portraying family relations that are not incongruent with those expected by members of dominant culture. In this context, purposeful polysemy may be less likely to produce negative nontarget market effects. Due to the “perpetual encroachment of sexual appeals into mainstream advertising” (Reichert and Lambiase 2003, p. 1), negative nontarget market effects of covert minority targeting also may be especially strong in the case of gay window advertising. Compared with other settings, the ubiquity of (heterosexual) sex cues in advertising may render the absence of such mainstream cultural cues particularly incongruent with consumers’ expectations. Investigating further the negative 29
  • 32. nontarget market effects of covert minority targeting therefore is an important area for future research. The interaction between individual differences (gay openness, attitudes toward homosexuality) and the degree of congruence of the product category with male stereotypes represents another interesting finding. Our results add to existing literature (e.g., Oakenfull 2004) by suggesting, for example, that gay men who are very open about their sexual orientation might be targeted using gay window ads when the product category is congruent with traditional male stereotypes but with mainstream ads when the product category is incongruent with traditional male stereotypes. The latter case suggests that the product category may act as an ambiguous nonsource cue. Specifically, the targeting of counter-stereotypical products to men may act as an ambiguous gay cue for gay men who are explicitly out. Advertisers thus should take the product category into consideration when choosing an ad format (gay window or mainstream) or media planning. For example, purposeful polysemy might be especially difficult to implement for products that are bound up with prevailing stereotypes (Grier, Brumbaugh, and Thorton 2006). Additional research thus should explore the role of product category, as well as the effectiveness of different implementations of purposeful polysemy. For example, we manipulated ambiguity using pictorial information, but further research could assess the effect of ambiguous cues presented in different advertising elements (e.g., verbal or textual elements). In particular, it would be interesting to assess implementations of purposeful polysemy carried out through textual cues to target covertly minorities that are characterized by visually salient markers of group membership (e.g., distinctive skin color). Before concluding, we acknowledge two limitations. First, we used real gay window and mainstream ads, which allowed for a more realistic test of the hypotheses, though it also forced a 30
  • 33. trade-off between external and internal validity in our tests of hypotheses 4 and 5. In particular, some differences across ads were inevitable when using a variety of product categories, because advertising agencies often adhere to established formats when advertising in certain product categories (e.g., prominent face shot in ads for beauty care products, group consumption settings in ads for alcoholic beverages). In particular, the ads varied in the number of men featured in the ads: The gay window ads for Skyy and Bridgestone included a same-sex couple, whereas those for Nivea and Azzaro featured only one man. It would be worthwhile to replicate our findings about the effect of product category using ads that hold the number of men depicted on the ads constant across product category conditions. Second, following previous studies on target market effects (e.g., Aaker et al. 2000; Brumbaugh 2002; Brumbaugh and Grier 2006; Burnett 2000; Forehand et al. 2002; Oakenfull and Greenlee 2004, 2005), we focused on attitudes toward the ad as a measure of advertising effectiveness. The results provide an important indication of the likely marketplace effects on attitude toward the brand and purchase intentions (see Brown and Stayman 1992), though the relationship between attitude toward the ad and brand attitudes or purchase intentions tends to be weaker for well-known brands (i.e., because attitudes toward known brands have been formed through repeated exposure to ads and/or product usage; Brown and Stayman 1992). Replications and extensions of our study therefore should include additional dependent variables. Conclusion Growing consumer diversity and increasingly sophisticated marketing practices imply that advertising targeting applies to ever narrower segments (Grier and Brumbaugh 1999). Such narrow targeting raises two problems for media strategists. First, despite the increasing importance of interactive and new media, mass media advertising remains the standard channel 31
  • 34. for many advertisers, and it may become uneconomical to conduct an advertising strategy that employs narrow targets and mass media. Second, to target stigmatized minorities, advertisers face the potential of alienating nontarget consumers if they become aware of minority targeting (Bhat et al. 1998; Greenlee 2004). In light of current social trends, the attractiveness of strategies aimed at multiple segments through ambiguous messages is therefore likely to increase (Puntoni et al. 2009). We have focused on the gay minority, but managerial publications also identify other minorities (e.g., based on religious, ethnic, or social status differences) as hard to target through traditional media. We have provided a theoretical and empirical analysis to address both target and nontarget market effects of purposeful polysemy in minority targeting, which could serve as a starting point for additional inquiries into this important and timely topic for advertising researchers. 32
  • 35. REFERENCES Aaker, Jennifer, Anne Brumbaugh, and Sonya Grier (2000), “Non-Target Markets and Viewer Distinctiveness: The Impact of Target Marketing on Processing and Attitudes,” Journal of Consumer Psychology, 9 (3), 127-40. Aiken, Leona S. and Stephen G. West (1991), Multiple Regression: Testing and Interpreting Interactions. Newbury Park, CA: Sage. Alreck, Pamela L. (1994), "Commentary: A New Formula for Gendering Products and Brands," Journal of Product and Brand Management, 3 (1), 6-18. Bhat, Subodh, Thomas W. Leigh, and Daniel L. Warlow (1998), “The Effect of Consumer Prejudices on Ad Processing: Heterosexual Consumers’ Responses to Homosexual Imagery in Ads,” Journal of Advertising, 27 (4), 9-28. Brown, Steven P. and Douglas M. Stayman (1992), “Antecedents and Consequences of Attitude Toward the Ad: A Meta-analysis,” Journal of Consumer Research, 19 (1), 34-51. Browne, Beverly (1998), “Gender Stereotypes in Advertising on Children’s television in the 1990s: A Cross-National Analysis,” Journal of Advertising, 27 (1), 83-96. Browne, Jane D. and Laurie Schulze (1990), “The Effect of Race, Gender, and Fandom on Audience Interpretations of Madonna’s Music Videos,” Journal of Communication, 40 (2), 88-103. Brumbaugh, Anne M. (2002) “Source and Nonsource Cues in Advertising and their Effects on the Activation of Cultural and Subcultural Knowledge on the Route to Persuasion,” Journal of Consumer Research, 29 (2), 258-69. ------ and Sonya A. Grier (2006), “Insights from a ‘Failed’ Experiment: Directions for Pluralistic, Multiethnic Advertising Research,” Journal of Advertising, 36 (Fall), 35-47. 33
  • 36. Burnett, John J. (2000), “Gays: Feelings about Advertising and Media Used,” Journal of Advertising Research, (January-April), 75-84. Ceccarelli, Leah (1998), “Polysemy: Multiple Meanings in Rhetorical Criticism.” Quarterly Journal of Speech, 84 (4), 395-415. Chung, Barry Y. (2001), “Work Discrimination and Coping Strategies: Conceptual Frameworks for Counseling Lesbian, Gay, and Bisexual Clients,” Career Development Quarterly, 50 (September), 33-50. Clark, Danae (1995), “Commodity Lesbianism,” in Out in Culture: Gay, Lesbian, and Queer Essays on Popular Culture, Corey K. Creekmur and Alexander Doty, eds. Durham, NC: Duke University Press, 484-99. Dimofte, Claudiu V., Mark R. Forehand, and Rohit Deshpandé (2004), “Ad Schema Incongruity as Elicitor of Ethnic Self-Awareness and Differential Advertising Response,” Journal of Advertising, 32 (4), 7-17. ------ and Richard F. Yalch (2007), “Consumer Response to Polysemous Brand Slogans,” Journal of Consumer Research, 33 (March), 515-22. Edell, Julie A. and Marian C. Burke (1987), “The Power of Feelings in Understanding Advertising Effects,” Journal of Consumer Research, 14 (3), 421-33. Eisenberg, Eric M. (1984), “Ambiguity as Strategy in Organizational Communication,” Communication Monographs, 51 (September), 227-42. Ekman, Paul and Wallace V. Friesen (1975), Unmasking the Face. Englewood Cliffs, NJ: Prentice-Hall. 34
  • 37. Fiedler, Klaus (2007), “Information Ecology and the Explanation of Social Cognition and Behavior,” in Social Psychology: Handbook of Basic Principles, 2nd ed., Arie W. Kruglanski and E. Tory Higgins, eds. New York: Guilford, 176-200. Fiske, John (1986), “Television: Polysemy and Popularity,” Critical Studies in Mass Communication, 3 (4), 391-408. Forehand, Mark R., Rohit Deshpandé, and Americus Reed II (2002), “Identity Salience and the Influence of Differential Activation of the Social Self-Schema on Advertising Response,” Journal of Applied Psychology, 87 (6), 1086-99. Förster, Jens and Nira Liberman (2007), “Knowledge Activation,” in Social Psychology: Handbook of Basic Principles, 2nd ed., Arie W. Kruglanski and E. Tory Higgins, eds. New York: Guilford, 201-31. Frable, Deborrah E.S. (1997), “Gender, Racial, Ethnic, Sexual, and Class Identities,” Annual Review of Psychology, 48, 139-62. Greenlee, Timothy B. (2004), “Mainstream Marketers Advertise to Gays and Lesbians: Strategic Issues and Research Agenda,” in Diversity in Advertising, Jerome D. Williams, Wei-Na Lee, and Curtis P. Haugtvedt, eds. London: Lawrence Erlbaum Associates, 357-67. Grier, Sonya A. and Anne M. Brumbaugh (1999), “Noticing Cultural Differences: Ad Meanings Created by Target and Non-Target Markets,” Journal of Advertising, 18 (1), 79-93. ------, ------, and Corliss G. Thornton (2006), “Crossover Dreams: Consumer Responses to Ethnic-Oriented Products,” Journal of Marketing, 70 (April), 35-51. ------ and Rohit Deshpandé (2001), “Social Dimensions of Consumer Distinctiveness: The Influence of Social Status on Group Identity and Advertising Persuasion,” Journal of Marketing Research, 38 (May), 216-24. 35
  • 38. Griffin, Pat (1992), “From Hiding Out to Coming Out: Empowering Lesbian and Gay Educators,” in Coming Out of the Classroom Closet, Karen M. Harbeck, ed. New York: Harrington Park, 167-96. Gross, Larry (2005), “The Past and the Future of Gay, Lesbian, Bisexual, and Transgender Studies,” Journal of Communication, 55 (3), 508-28. Herek, Gregory M. and John C. Capitanio (1999), “Sex Differences in How Heterosexuals Think about Lesbians and Gay Men: Evidence from Survey Context Effects,” Journal of Sex Research, 36 (4), 348-360. Higgins, E. Tory (1996), “Knowledge Activation: Accessibility, Applicability, and Salience,” in Social Psychology: Handbook of Basic Principles, E. Tory Higgins and Arie W. Kruglanski, eds. New York: Guilford, 133-67. ------ and C. Miguel Brendl (1995), “Accessibility and Applicability: Some ‘Activation Rules’ Influencing Judgments,” Journal of Experimental Social Psychology, 31, 218-43. Holbrook, Morris B. and Rajeev Batra (1987), “Assessing the Role of Emotions as Mediators of Consumer Responses to Advertising,” Journal of Consumer Research, 14 (December), 404-20. Izard, Caroll E. (1977), Human Emotions. New York: Plenum Press. Kardes, Frank R. (1988), “Spontaneous Inference Processes in Advertising: The Effects of Conclusion Omission and Involvement on Persuasion,” Journal of Consumer Research, 15 (September), 225-33. Kates, Steven (1998), Twenty Million New Customers: Understanding Gay Men's Consumer Behavior. New York: Haworth Press. 36
  • 39. ------ and Charlene Goh (2003), “Brand Morphing: Implications for Advertising Theory and Practice,” Journal of Advertising, 32 (1), 39-68. Leigh, Thomas W., Arno J. Rethans, and Tamatha Reichenbach Whitney (1987), “Role Portrayals of Women in Advertising: Cognitive Responses and Advertising Effectiveness,” Journal of Advertising Research, 27 (October/November), 54-63. Leiss, William, Stephen Kline, and Sut Jhally (1997), Social Communication in Advertising. London: Routledge. Markus, Hazel (1977), “Self-Schemata and Processing Information about the Self,” Journal of Personality and Social Psychology, 35 (2), 63-78. ------ and Ziva Kunda (1986), “Stability and Malleability of the Self-Concept,” Journal of Personality and Social Psychology, 51 (4), 858-66. McGuire, William J. (1984), “Search for the Self: Going Beyond Self-Esteem and the Reactive Self,” in Personality and the Prediction of Behavior, Robert A. Zucker, Joel Aronoff, and A. I. Rabin, eds. New York: Academic Press, 73-120. McQuarrie, Edward F. and David G. Mick (1992), “On Resonance: A Critical Pluralistic Inquiry into Advertising Rhetoric,” Journal of Consumer Research, 19 (September), 180-97. Mick, David G. and Claus Buhl (1992), “A Meaning-Based Model of Advertising Experiences,” Journal of Consumer Research, 19 (December), 317-38. Miller, Daniel A., Eliot R. Smith, and Diane M. Mackie (2004), “Effects of Intergroup Contact and Political Predispositions on Prejudice: Role of Intergroup Emotions,” Group Processes and Intergroup Relations, 7, 221-37. Miller, Elizabeth G. and Barbara E. Kahn (2005), “Shades of Meaning: The Effect of Color and Flavor Names on Consumer Choice,” Journal of Consumer Research, 32 (June), 86-92. 37
  • 40. Morrison, Maria Michelle and Shaffer David R. (2003), “Gender-Role Congruence and Self- Referencing as Determinants of Advertising Effectiveness,” Sex Roles, 49 (5/6), 265-75. Muehling, Darrel D., Russel N. Laczniak, and Jeffrey J. Stoltman (1991), “The Moderating Effects of Ad Message Involvement: A Reassessment,” Journal of Advertising, 20 (2), 29-38. Muller, Dominique, Charles M. Judd, and Vincent Y. Yzerbyt (2005), “When Moderation is Mediated and Mediation is Moderated,” Journal of Personality and Social Psychology, 89 (6), 852-63. Nerlich, Brigitte and David D. Clarke (2001), “Ambiguities We Live In: Towards a Pragmatics of Polysemy,” Journal of Pragmatics, 33, 1-20. Oakenfull, Gillian, K. (2004), “Targeting Consumer Segments Based on Sexual Orientation: Can Advertisers Swing Both Ways?” in Diversity in Advertising, Jerome D. Williams, Wei- Na Lee, and Curtis P. Haugtvedt, eds. London: Erlbaum, 369-81. ------ and Timothy Greenlee (2004), “Three Rules of Targeting Gays and Lesbians in Mainstream Media: Lesbians, Lesbians, Lesbians,” Journal of Business Research, 57 (11), 1276-1285. ------ and ------ (2005), “Queer Eye for a Gay Guy: Using Market-Specific Symbols in Advertising to Attract Gay Consumers Without Alienating the Mainstream,” Psychology and Marketing, 22 (5), 421-439. Oakes, Penelope (1987), “The Salience of Social Categories,” in Rediscovering the Group: A Self-Categorization Theory, John C. Turner, ed. New York: Basil Blackwell, 117-41. 38
  • 41. Oyserman, Daphna (2007), “Social Identities and Self-Regulation,” in Social Psychology: Handbook of Basic Principles, 2nd ed., Arie W. Kruglanski and E. Tory Higgins, eds. New York: Guilford, 432-53. Peracchio, Laura A. and Joan Meyers-Levy (1994), “How Ambiguously Cropped Objects in Ad Photos Can Affect Product Evaluations,” Journal of Consumer Research, 21 (June), 190- 204. Preacher, Kristopher J., Derek D. Rucker, and Andrew F. Hayes (2007), “Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions,” Multivariate Behavioral Research, 42 (1), 185-227. Puntoni, Stefano, Jonathan E. Schroeder, and Mark Ritson (2009), “Meaning Matters: Polysemy in Advertising,” Journal of Advertising, forthcoming. Reichert, Tom and Jacqueline J. Lambiase (2003), “One Phenomenon, Multiple Lenses: Bridging Perspectives to Examine Sex in Advertising,” in Sex in Advertising, Tom Reichert and Jacqueline J., eds. Mahwah, NJ: Erlbaum, 1-8. Rohlinger, Deana A. (2002), “Eroticizing Men: Cultural Influences on Advertising and Male Objectification,” Sex Roles, 46 (3/4), 61-74. Schumann, David W. (2004), “The Transmission of Prejudice: What Do Our Marketing Strategies Really Reinforce?” in Diversity in Advertising, Jerome D. Williams, Wei-Na Lee, and Curtis P. Haugtvedt, eds. Mahwah, NJ: Erlbaum, 121-31. Sender, Katherine (1999), “Selling Sexual Subjectivities: Audiences Respond to Gay Window Advertising,” Critical Studies in Mass Communication, 16 (2), 172-96. Siegel, Sidney and N. John Castellan Jr. (1988), Nonparametric Statistics for the Behavioral Sciences. New York: McGraw Hill. 39
  • 42. Srull, Thomas K. and Robert S. Wyer Jr. (1979), “The Role of Category Accessibility in the Interpretation of Information About Persons: Some Determinants and Implications,” Journal of Personality and Social Psychology, 37 (10), 1660-72. Stevens, Lorna, Pauline Maclaran, and Stephen Brown (2003) “Red Time is Me-Time: Advertising, Ambivalence, and Women’s Magazines,” Journal of Advertising, 32 (1), 35- 47. Stryker, Sheldon and Richard T. Serpe (1994), “Identity Salience and Psychological Centrality; Equivalent, Overlapping, or Complementary Concepts?” Social Psychology Quarterly, 57 (1), 16-35. Weinberger, Linda E. and Jim Millham (1979), “Attitudinal Homophobia and Support of Traditional Sex Roles,” Journal of Homosexuality, 4 (3), 237-46. Wilke, Michael (1997), “Are They? … Or Aren’t They?” Advertising Age, 68 (31), 11. Williamson, Judith (1979), Decoding Advertisements. New York: Marion Boyars. Whittler, Tommy E. and Joan Scattone Spira (2002), “Model’s Race: A Peripheral Cue in Advertising Messages?” Journal of Consumer Psychology, 12 (4), 291-301. 40
  • 43. Figure 1 Study Stimuli Azzaro Visit for Men Azzaro Visit for Men Skyy Blue Skyy Blue Mainstream version Gay window version Mainstream version Gay window Version Nivea for Men Nivea for Men Bridgestone Bridgestone Mainstream version Gay window version Mainstream version Gay window version Notes: GW = Gay window and MS = Mainstream. The eight counterbalancing conditions are: Azzaro MS-Nivea GW; Azzaro GW-Nivea MS; Nivea MS- Bridgestone GW; Nivea GW-Bridgestone MS; Skyy MS-Azzaro GW, Skyy GW-Azzaro MS; Bridgestone MS-Skyy GW; Bridgestone GW-Skyy MS 41
  • 44. Figure 2 Results for Hypotheses (Estimated Marginal Means) 42
  • 45. Table 1 Sample Information Variable Heterosexual Gay men men Age Mean: 31.12 30.68 SD: 11.77 8.24 Range: 15-62 17-63 Relationship status Single: 40.5% 56.6% Divorced: 2.7% .7% In a relationship: 56.8% 42.7% Employment Student: 38.5% 28.7% Has a paid job: 54.7% 64.7% Other (e.g., not paid job): 6.8% 6.6% Education Primary school: 1.3% 0% Secondary school: 25.7% 25% Attends university/has a university 73% 75% degree: Gross income Less than €1.000 monthly (+/- 33.8% 22.1% (missing data: N=23) $1,400): Between €1000 and €2000: 18.9% 28.7% Between €2000 and €4000: 23.6% 27.2% More than €4000: 12.8% 16.9% 43
  • 46. Table 2 Raw Means and Standard Deviations per Ad Type and Sexual Orientation Heterosexual men Gay men Gay window ad Mainstream ad Gay window ad Mainstream ad Mean SD Mean SD Mean SD Mean SD Positive emotions 2.64 1.44 3.11 1.50 3.92 1.56 3.51 1.62 Negative emotions 1.95 1.01 1.76 1.00 1.42 .69 1.55 .85 Attitude toward the ad 3.56 1.37 3.95 1.38 4.81 1.31 4.30 1.44 44
  • 47. Note As suggested by two reviewers, we further analyzed the imagery evoked by the ads among gay and heterosexual male respondents. The details of the analysis are beyond the scope of the article. However, we found consistent evidence that gay window ads and mainstream ads tend to evoke different imagery among gay and heterosexual respondents, despite the implicit nature of the processes hypothesized by theory and the subtlety of the experimental manipulation. (For example, gay respondents who identified heterosexual men as the target of the ad did so more often for the mainstream ads than for the gay window ads with no such effect for heterosexual respondents). 45
  • 48. Appendix Results of Ad-Level Analyses The ad-level analyses indicate similar results for the Nivea, Bridgestone, and Skyy ads and nonsignificant results for the Azzaro ad (i.e., nonsignificant ad type by sexual orientation interaction on attitudes and on positive and negative emotions, ps > .48). The nonsignificant results for Azzaro may be a consequence of the loss of power, due to our use of a between- subjects design for the ad-level analyses (respondents never saw two ads for the same brand) or the too subtle difference between the gay window and mainstream versions of the Azzaro ad. We describe the results for the Nivea, Bridgestone, and Skyy ads in this section. For hypothesis 1, we ran an ANOVA for each brand on attitudes toward the ad, with ad type and sexual orientation as between-subjects factors. We also included position in the ad sequence as a between-subjects factor. The ad type by sexual orientation interaction is significant for Nivea (F(1, 143) = 10.26, p < .01) and Skyy (F(1, 124) = 9.34, p < .01) and directional but nonsignificant for Bridgestone (F(1, 125) = 2.17, p = .15). For all three brands, gay participants report more positive attitudes toward the gay window version of the ad than the mainstream version of the ad, whereas heterosexual participants report more positive attitudes toward the mainstream than the gay window version of the ad. We tested hypothesis 2 in a similar fashion using positive and negative emotions as dependent variables. For all three brands, the ad type by sexual orientation interaction is significant for at least one type of emotions. For Nivea, the interaction is significant for both positive (F(1, 143) = 5.66, p < .05) and negative (F(1, 143) = 5.03, p < .05) emotions: Gay (heterosexual) men report more (less) positive emotions and less (more) negative emotions toward the gay window than the mainstream version of the ad. For Skyy, the interaction is 46
  • 49. significant for positive emotions (F(1, 124) = 5.82, p < .05; for negative emotions, p > .76), such that gay (heterosexual) men report more (less) positive emotions toward the gay window than the mainstream version of the ad. For Bridgestone, the interaction effect is significant for negative emotions (F(1, 125) = 9.06, p < .01; for positive emotions, p > .36). Gay (heterosexual) men report less (more) negative emotions toward the gay window version of the ad than the mainstream version of the ad. Finally, ad-level analyses confirm the mediating role of emotions (hypothesis 3). For Nivea, when we include positive and negative emotions in the model for attitude toward the ad, the sexual orientation by ad type interaction becomes nonsignificant (F(1, 139) = 1.73, p > .18), whereas the influence of emotions is significant (negative emotions, F(1, 139) = 25.46, p < .001, positive emotions, F(1, 139) = 25.46, p < .001). Negative emotions mediate the interaction effect on attitude toward the ad for Bridgestone (negative emotions, F(1, 122) = 7.12, p < .01; ad type by sexual orientation interaction, p > .38), and similarly, positive emotions partially mediate it for Skyy (positive emotions, F(1, 122) = 93.94, p = .001; ad type by sexual orientation interaction, F(1, 123) = .3.59, p = .06). 47