1. WHITE PAPER
Monitor, Measure and Manage
Best Practices in Web Analytics for Destination Marketing Organizations
David Kirschner, Omniture and Chris Adams, Miles Media
2. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
INDEX
Introduction 3
About the Authors 5
Principles of Web Analytics 6
Web Metrics and Research 7
Choosing a Web Metrics Solution That is Right for You 8
Overview of the Metrics That Matter 9
Visitation Metrics 9
Engagement Metrics 9
Signals of Intent to Travel 15
Market Penetration 17
Managing Marketing Programs with Web Analytics 20
2
3. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
INTRODUCTION
This is an introduction and overview of best practices in Web
metrics, reporting and analysis for Destination Marketing
Organizations (DMOs). In the last decade, the Internet has
emerged as the primary information source for most travelers
and, in many cases, is a central part of the destination’s
marketing activities. An estimated 92% of US consumers who
are “active travelers” are also Internet users. Around 40%
of these travelers report using an official DMO Web site in
their travel planning in the past year. Unless you are closely
monitoring, measuring and analyzing your online activities –
and taking action based on this information – you are not
managing your online activities. Hence, applying best practices
in Web measurement, monitoring and reporting is a vital part
of fulfilling your DMO’s mission.
3
4. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
The Web has emerged as the center of DMOs’ marketing efforts.
This white paper is an introduction to a rapidly changing and evolving area of marketing and
technology. Seeking additional information, advice and recommendations from skilled staff,
vendors, industry partners or consultants will help apply these best practices to the specific needs
of your DMOs.
* Sources: PhocusWright Consumer Online Travel Trends 10th edition. July 2008 and Destination
Analysts’ State of the American Traveler Research report, July 2007.”Active” travelers is defined as
consumers who have flown by air and stayed in a hotel at least once in the last 12 months.
4
5. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
ABOUT THE AUTHORS
David Kirschner is Principal Consultant for the Travel Industry at Omniture – a
global leader in Web analytics and online business optimization. David has extensive
experience working with tourism clients as well as major airline, rental car, cruise
line and hotel groups. Prior to joining Omniture in 2005, David developed extensive
client-side experience as the Director of CRM and Strategic Analysis for Expedia’s
hotels.com subsidiary.
Chris Adams is Director of Online Marketing at Miles Media –the largest destination
publisher in North America. Chris helps service the needs of 14 states and more than
30 CVBs at Miles Media and also has extensive tourism, DMO and new technology
experience from New Zealand, Australia and the UK.
If you have additional questions or clarification in follow up to this paper – you can contact David or Chris:
David Kirschner Principal Consultant, Travel, Omniture
e: dkirschner@omniture.com
t: (954) 563-2589
Chris Adams, Director of Online Marketing, Miles Media
e: chris.adams@milesmedia.com
t: (303) 484-1655
5
6. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
PRINCIPLES OF WEB ANALYTICS.
Regardless of the specific Web metrics solution(s), vendors and staffing you use for your specific
DMO, there are certain critical principles that should apply in all Web analysis and reporting:
Personalized Dashboards in Omniture SiteCatalyst provide quick reference to the most important metrics.
Metrics That Matter
Focus your reporting and analysis on the key performance indicators (KPI) that are most important
to you. “Less is more” in Web analytics so defining a clear, limited set of KPIs and measurements
aligned with your business and marketing plans is critical for clear, easy to use information.
Actionable Analytics
Information is of little value unless you can act on it. Web sites are a process, not a project, so they
should be continuously improved, refined and tested based on Web analytics. Make sure you have
the budget and/or resources to make ongoing improvements to your Web site based on what you
learn from your Web analytics efforts.
Customized Reporting
Whatever the Web analytics solution, ensure your reporting is customized to the needs of your DMO.
This includes preparing personalized, user friendly reports that are available for key managers and
other stakeholders at the time and in the format that meets their specific needs. Reporting should
be easy to use and easy to follow, focusing on what is important (see “Metrics that Matter”) with
indicators of trends or areas for attention. Customized weekly or monthly reports can integrate online
metrics with offline indicators (eg: guide orders) and supplement the online reporting and custom
Dashboard features available through SiteCatalyst and other Web analytics tools.
6
7. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Web reporting should be visual, easy to follow and easy to use. Miles Media prepares monthly
“Dashboards” for its DMO clients that integrate Omniture Web analytics with metrics from other
sources (eg: guide orders). Color coded arrows indicate trends and areas for attention.
WEB METRICS AND RESEARCH
Any Web metrics solution needs to be a part of a broader research and analytics framework for
your Destination Marketing Organization. While a Web metrics product like Omniture SiteCatalyst
can deliver a wide range of mission critical data, it should exist as part of a “holistic” approach to
monitoring, measuring and managing your DMO.
Additional services in the below areas are available from Omniture and from a range of other third
party vendors:
Audience Measurement – These solutions allow you to understand the profile of your online users
(demographic information of consumers and their broader use of the Internet) plus more directly compare
your DMO’s activity against competitors and others you wish to benchmark. Omniture, as well as other
enterprise-class Web analytics solutions, also provide a wide range of technographic information, such as
browser type and version, monitor resolution, connection speed and java version. DMOs can use these
data to ensure that any new features launched will be compatible with the audience’s technographics.
Research – Research complements Web analytics by adding the “why” to the “what.” Probing the
travel intentions and attitudes of users (through online intercept and/or email surveys, for example)
allows a more complete understanding of the consumer and how to meet their needs. For this reason,
Omniture recently launched Omniture Survey, a powerful tool for gathering feedback from users of
your Web site. The Omniture Genesis Network allows DMOs to integrate a wide range of third party
tools, such as email vendors, ad serving companies and tools like OpinionLab, which are specifically
designed to improve user experience. This marriage of Web analytics data to external sources of
information provides customers with a holistic view of Web site activity and areas for improvement.
Specific research projects such as online usability panels (to test new sites or new functionality)
and online conversion studies (measuring the real world travel and economic impact generated
by your Web marketing) are also important research projects. Regardless of the project,
coordinate this work with your Web metrics solution and, when necessary, work with a credible,
third party research company on a robust methodology.
7
8. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
CHOOSING A WEB METRICS SOLUTION THAT IS RIGHT FOR YOU
User-and Tag-Based vs. Log-Based Web Metrics
In general, there are two types of Web analytics tools, those that are tag-based, and those that are
log-file or server-based. The difference is important.
Tag-based solutions use code placed on each individual page of a Web site to collect and report
on the behavior of users. Such solutions are generally far more accurate in tracking real visitors to
a Web site (distinct from spiders, “bots” or other software agents), often give real-time data and
are usually have a range of enhanced and custom reporting features vs. log based tools. Omniture
SiteCatalyst is an example of a tag-based Web metrics solution.
By comparison, log-based solutions periodically (eg: every 24 hours) analyze a wide range of
information gathered from the server log files that record site activity and requests handled by the
server. They use this analysis to provide indicative information of activity and user behavior. These
server logs have the undesirable side effect of producing huge volumes of data, which need to be
stored and backed up.
Such solutions have been used the longest, so their reports may contain important long-term trend
data. However, in addition to the cost of data storage, their value is further compromised by the
inherent limitations of log-based analysis. The different methodology and limitation of log-based
tools make “apples to apples” comparisons with user-/tag-based solutions and log-based tools
extremely difficult.
In general, since they don’t have the concept of “visits” or “sessions,” log-based solutions aren’t
good at identifying a unique user across multiple interactions with a Web site. The combination of
real-time data availability, freedom from buying hardware to store data, and gaining a holistic view
of customer activity have made log-file solutions nearly obsolete.
Bottom Line: Log-based Web tools have only limited applications – for example monitoring server
load and looking back at historic trends. Every DMO of any size needs a robust, tag-based Web
metrics solution as their primary reporting and analysis tool for their Web site.
Selecting the Right Tool and the Right Vendor
The final decision on choosing a Web metrics solution should be based on a clearly defined list of
reporting requirements, the specific information you are looking to track and the support and training
your DMO needs. Web metrics solutions range from relatively simple; but with limited reporting
and customization options - to more enhanced solutions; offering far more powerful analysis and
customized reporting – but requiring more time and skill in implementation and management.
Define the needs of your DMO. The decision on a Web metrics solution is often made in conjunction
with your Web vendor(s), so seek their input throughout this process. In some cases (eg: Miles Media)
they may have done the in-depth analysis for you and can advise on the pros and cons of different
solutions. The input of your DMO peers is also another source of advice and commentary. If you
or your staff wish to research the options yourself, independent third party evaluations and reviews
of different Web metrics solutions are available online, ranging from blogs and user sites (of mixed
content and quality) through to paid consultancy reports from companies such as Jupiter Research.
Whatever solution you chose, it’s important that it has good customer support. While Web analytics
tools can bring tremendous insights to their users, they often raise as many questions as they answer.
You’ll want to be certain of your interpretation of the data before acting upon it.
8
9. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
OVERVIEW OF THE METRICS THAT MATTER
What to track and analyze on your site.
No two travelers are alike and, for that reason, Web sites must meet a variety of requirements. In this
white paper we’ll explore how, through a sharp focus on relevant metrics, it’s possible to discern and
meet the needs of vastly different types of travelers.
The number one metric, engagement, is actually a combination of several different metrics. There
are many definitions for what constitutes engagement, but most of them involve metrics that are
calculations. Basic Web analytics metrics such as visits, page views, and unique visitors are still
important to track, but, while these metrics may tell you what is happening, they give no clues or
context in terms of what actions to take. The calculated metrics listed in this white paper each have
one or more actionable outcomes that can be pursued when flux is noted. While each Web analytics
tool has a slightly different definition of each of these terms, visits, page views and daily, weekly or
monthly unique visitors are the building blocks for insightful engagement analysis for DMO Web sites.
Visitation Metrics
Important metrics to track are: visits, unique visits (by day, week, and month), page views, and
visitation by target segments (eg: geographical markets, activity by content or promotion).
Visitation metrics are the top line activity numbers that track response to your DMO Web site.
Visits (also called “user sessions”) and “unique visits” (an estimate of the individual users to access
your site) are two of the most essential numbers to measure – especially when trended over time
(or compared to the same period last year) and from your defined geographical markets (most
enhanced user or tag based tools allow users to be accurately tracked down to a city and/or DMA
(Designated Market Area) level). These top line activity metrics provide important trend information
to assess the response to your Web site.
Engagement Metrics
Important metrics to track are bounce rates (by home page, across site and by entry/landing pages),
time on site, videos viewed, site tools used.
Engagement metrics focus on defining the depth and quality of interaction with your DMO Web
site, rather than just the overall response or quantity. As such, engagement metrics provide some
important insight into the user experience – how respondents are interacting with the content and
functionality of your site. Engaging with a user is an essential first objective for any DMO Web site,
grasping attention and then building interaction. In the absence of engagement, much of the activity
on your Web site may have little value in its overall objective – generating travel to your destination.
For some DMOs, engagement is a supporting metric to the all-important conversions or “Signals of
Intent to Travel” - a fuller expression of how engaged users are on the site.
However, numbers such as average time on site, average page views per visit, bounce rates (of the
home page and all entry pages) and loyalty metrics provide some important guidance over time to
changes in the user experience.
For sites that use video, it is important to note that, as of this printing, SiteCatalyst is currently the
only Web analytics solution that allows site operators to optimize videos on their site, by delving into
how video is used. For each video, SiteCatalyst’s reporting shows, the number of users who drop
off at various time increments. This can illuminate clips that are more compelling than others, and
inform decisions about the right length for online videos.
9
10. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
This SiteCatalyst report shows how many users watch an entire video and when they stop watching.
Bounce Rate – Measuring and reporting on the bounce rates of your various entry pages is one of
the most important engagement metrics – as this helps define the performance of individual pages in
grabbing and holding attention. A “bounce” is the percentage of users to enter the site through that
page, go nowhere else on your site and then leave. For some entry pages a bounce rate of 50% or
even 75% can occur, meaning half or three quarters of all traffic is not going beyond the entry page
and is therefore essentially “lost.” Measuring the bounce rate of the home page, groups of major
entry pages and, in particular, for all campaign landing pages (the entry page for traffic from online
advertising for example) is essential. Lowering the bounce rate by testing different designs, content
or calls to action (a process called landing page optimization) can have a very significant impact on
the net acquisition cost and, therefore, ROI of campaigns. Ensuring your agency and DMO work
together on a landing page optimization process is vital part of all online marketing campaigns, and
most of the most powerful ways to generate return from your Web metrics solution.
Bounce rates are one important way to test the results from different landing pages in A-B or multi-
variate testing.
10
11. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Social Media – User-generated content is becoming an increasingly important part of user
interaction on travel sites and contributions from your DMO’s online community can be an important
indicator of site engagement. This can include tracking the number and trends of users’ submitting
travel tips, itineraries, reviews, comments, questions (eg: “Ask the Expert”) and photo/video
submissions. Per the graphic below, Forrester Research has applied weighting to differentiate various
levels of engagement and contribution for social media. The goal of any DMO Web site is to move
more users from the bottom rungs of the ladder up the value chain to become influencers, driving
ancillary visits and page views.
Loyalty Metrics
Loyalty metrics typically measure the number of repeat visitors who come back to your Web site in a
defined period (eg: week or month) and the frequency (number and spacing) of these visits.
Most DMOs do not generate significant repeat visitation to their Web site, as in many cases their
content and functionality is focused on the destination decision rather than the final trip planning.
Research can help you define how consumers are currently using your site in the overall travel
planning and booking process. Based on this feedback, the objective of your Web site and the
content and services you may wish to add, these metrics may be important to see if you are building
repeat visitation.
“Per Weekly/Monthly Unique Visitor” Metrics: When analyzing how users interact with a Web site,
it’s myopic to limit one’s analysis to a single visit or session. Few travelers come to a single site and
make their entire vacation plans. Rather, it’s a process of consuming written content, viewing images
and movies and submitting requests for information. For this reason, DMOs need to expand their
views of customer activity over a longer period of time than just a day or a single visit.
11
12. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Visits per Monthly Unique Visitor is a good place to start. By understanding how frequently an
average user is returning to your Web site, you can begin to understand where they are in the
decision-making process. There is often a direct correlation between this metric and intent to travel.
While this is true of those people using a DMO site to do research, the majority of unique users will
only visit a site once in any given period. For this reason, the Visits per Monthly Unique will generally
be just slightly greater than one, so this number should be taken out to two or three decimal places
in order to most accurately track trends.
Visits Per Monthly Unique Visitor will tell you how frequently users return.
For additional insight about the number of visits a unique user makes either before or after
performing some kind of hand-raising activity, the next step is to go beyond the general audience
and apply segmentation. For instance, it’s nice to know that, on average, users visit your site 1.25
times per month. It’s considerably more important to know that after they request a brochure
about your destination, they visit 3.5 times per month; or that users from a particular search
keyword that you’re paying $8 per click for are returning less frequently than the aggregate,
indicating perhaps you should discontinue spending on that particular keyword. For sites interested
in serving more relevant content to customers with high visit frequency, Omniture and other
providers offer solutions that can place timely offers, ads or specials on your Web site designed to
act upon their Signals of Intent to Travel.
12
13. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Page Views per Monthly Unique Visitor is a related metric, but one that speaks more to visitors’
interaction with your Web site. When this metric increases, it generally indicates an interest in your
content. For more insight, break down the types of content that are drawing the most page views
(photos, reviews, blogs) and position this content accordingly. It’s a proven fact that photos and
videos garner more clicks than plain text and what better way to sell your destination than through
stunning imagery?
For most DMO sites, increasing Page Views per Monthly Unique Visitor should be a goal. Not only
does it indicate higher interest but, assuming traffic stays consistent, as Page Views per Monthly
Unique Visitor increases, so does the number of advertising impressions and their associated
revenue. The one notable exception when Page Views per Monthly Unique Visitor increasing can be
seen as deleterious is when users are trying to complete a process, such as registering, filling out an
online form, or making a purchase. In these instances, higher Page Views per Monthly Unique Visitor
may indicate confusion or difficulty in completing these processes. Here, leveraging other measures
such as Conversion Rate or Time to Complete, both available through Omniture SiteCatalyst, will tell
you if your increase in Page Views per Monthly Unique Visitor is a desirable trend or not.
Page Views Per Monthly Unique Visitor indicates interest in your content.
13
14. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Visit Frequency is another valuable report. Much like analyzing Visits per Monthly Unique visitor, a
goal of any DMO site should be to increase visit frequency. This is often shown as “days since last
visit” and a decline in this metric often corresponds to an increase in aggregate interest. The primary
difference in how to utilize Visit Frequency versus Visits per Monthly Unique Visitor is to look for both
an aggregate decline in the Visit Frequency report as well as an increased incidence of intra-day
visits. These indicate a higher degree of interest as well as a pending intent to travel. Again, applying
other metrics to Visit Frequency make this metric more actionable. Some recommendations include
Visit Number (how many previous visits to the site they’ve made), Original Referring Domain (which
will tell you how they first found your Web site) or more time-sensitive measures such as keyword or
referring domain, which will tell you how they arrived at your site most recently. One would expect
that as Visit Frequency increases, so should the percent of total guests coming to your site directly,
rather than through more costly programs such as SEM or display (banner) advertising.
Increase in Visit Frequency indicates a higher degree of interest and possibly impending travel.
14
15. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
“Signals of Intent to Travel”
Also called “success events” or “hand raising” activities, Signals of Intent to Travel can range from
ordering a visitor guide, to viewing detailed accommodation listings, to actually booking online.
A critical part of Web reporting for a DMO is defining the “conversion” events or “hand raising”
actions that define success for your Web site. As many DMOs have no online booking functionality
on their Web site, and in all cases final booking is likely to be completed elsewhere, this conversion
or success event is not usually a transaction but rather a “Signal of Intent to Travel” (SIT).
Defining, validating, tracking and reporting your SITs is a central part of your DMO’s Web analytics
solution and ultimately the most important part of distinguishing “quality” over “quantity” in your
Web reporting.
Top 10 Most Commonly Used SITs:
1. Ordering a visitor guide online
2. Signing up for an email newsletter
3. Visiting a deals, specials or packages page
4. Visiting the detailed listing page of a hotel, activity or event
5. Reaching a defined stage in any online booking tool that is available on your site
6. Downloading a brochure, map or other file from your Web site
7. Clicking through to a hotel or activities’ external booking or information page
8. Seeking more information from your DMO, Visitor Center, etc.
9. Asking a question of an online expert or other users
10. Posting a photo, video, trip report, review or rating
15
16. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Most DMOs define a small list of SITs that seem best suited to their destination and type of traveler.
Ideally, Signals of Intent to Travel should be tested and validated by third party conversion research
which connects actual travel to online behavior. In this type of research, the impact of the DMO Web
site and/or email marketing program can be isolated and the visitor spending, economic impact and
Return on Investment for the DMO’s online marketing efforts better defined.
Success Events Completed per Monthly Unique Visitor: While it’s valuable to look at each SIT
individually, looking at them in total is perhaps the clearest indicator of intent to travel. Some
companies assign a weight to these success events (sometimes called “scoring”), putting a premium
on events that involve some sort of data capture such as email or physical mailing address which can
be used for remarketing.
Click-outs to External Web sites are, as noted, a success event for many DMO sites. Although
it may seem counterintuitive to send traffic off your site, in many cases these “exit links” are the
desired path once a user has found the information they need. Click-outs can take users into a
booking engine, to an attraction or property Web site, or to any other destination linked from your
Web site. Your better Web analytics products provide some form of “path analysis” that will help
you determine how users navigate from page to page. The keys to taking action from click-outs
lie in these path reports. Visualizing the most popular click-out links in a report will help to inform
their placement on your Web site, but also, looking at the pages people saw on their way to clicking
out can yield new opportunities. For instance, if you see a high incidence of people coming from
your home page to your search page to a search results page and then clicking out to a paying
partner, you may decide to move that partner link onto the home page. Of course, unless you have a
reciprocal tracking agreement with the site you’re sending your traffic off to, you will lose visibility to
the customer after they click the exit link.
Brochure/Visitor Guide/Hard Goods requests are always desirable for two reasons: They indicate
a strong intent to travel and they provide the DMO with a physical address. The benefits of having
an address are many, including remarketing to that traveler, not; using data append services such
as Claritas or InfoUSA to learn more about the demographics and psychographics of locale, and
understanding the origin cities that have an affinity for your destination, which will inform your
marketing efforts.
16
17. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
These types of requests often involve filling out some type of form and, whenever users are asked to
complete a form, there are inevitably errors. The job of the DMO Web site is both to make the form
easy to find and to minimize the number of errors encountered by those who begin to fill out the
form. Improving throughput on forms is not difficult. It simply requires a bit of experimentation and
visibility to the problems people are encountering when they’re unsuccessful in completing the form.
Omniture offers a plug-in to specifically track form abandonment. It shows the number of times data
was entered – or not entered – into each field on the form. Analyzing this data can highlight fields
that are extraneous or confusing. The form should be streamlined, easy to understand and should
have a “thank you” page with navigation to other areas of the Web site.
In addition to looking at which fields on the form are causing problems, you’ll want to track which
errors people are encountering. These could be due to missing data in required fields, misspellings,
contrary data for state and zip code and any number of other issues. By analyzing the top errors,
you will quickly be able to see what problems people are having and take corrective action. As an
example, the airlines realized that most of their travelers do not know their local airport code. To
correct this problem, they have begun using “auto-complete” functionality on their Web sites. This
improves the user experience, provides the airline with cleaner search data and improves throughout.
Analyzing where forms are abandoned can guide improvements.
Market Penetration
It’s an established fact that affinities exist between certain origins and destination pairs. For
instance, a central Florida CVB knows they’ll get visitors from all around the state, but can
sometimes have a difficult time determining what other feeder markets it should focus for
marketing programs. Like most state-of-the-art Web analytics tools, Omniture SiteCatalyst has
functionality that will allow you to geographically locate visitors to your Web site, right down to
their zip code or their Nielsen DMA number.
17
18. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
On first glance, this report may not yield many surprises, the majority of traffic comes from within
Florida, with neighboring states and states with large populations close behind.
Going down to a city level is more insightful. Now the CVB can tell which Florida cities and
out-of-state markets are driving the most traffic, incredibly helpful information for market-specific
advertising as well as for placement of collateral materials along top drive routes. We also see
some out-of-state cities (New York, St. Louis, Atlanta) as feeders as well. New opportunities are
beginning to emerge.
18
19. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Showing popularity is valuable, but differs from Market Penetration. Your top states or cities are
unlikely to show much flux over time and your marketing approach could stagnate without going
another level deeper to look at Market Penetration. The Omniture SiteCatalyst product has this
functionality on the state and DMA level, although not all Web analytics tools do. Clicking on “per
capita” compares the number of visits from each locale to the most recent US Census data. This is
true penetration data – out of the universe of potential visitors in this state or DMA, what percentage
of them have been to my site? Now we see a completely different picture, where this CVB actually
indexes well above the national average for nearby markets, but far below in other key DMAs.
19
20. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
MANAGING MARKETING PROGRAMS WITH WEB ANALYTICS
Important metrics to track are campaign performance by target market (eg: DMA) including
responses, unique responses, campaign traffic quality including bounce rates, other engagement
metrics plus signals of intent to travel, gross and net cost per acquisition and Return on Investment.
Web analytics solutions are also an invaluable tool in researching, planning, monitoring and
reviewing your various DMO marketing programs. Though Web reporting tools are geared toward
providing a rich set of information for online marketing activities, even offline campaigns can
be broadly monitored, assuming your call to action is your Web site. Therefore, at the start, it is
important with any marketing program to consider what information is available from your Web
metrics solution to help in campaign planning and how you are going to monitor and report on the
performance of the campaign.
It is also essential to correctly set up campaigns in your Web analytics solutions, to ensure that each
campaign is being correctly identified, tracked and segmented in your reporting tool. This usually
involves the use of “response triggers” (code that identifies campaign traffic to your reporting tool) and
coordinating the efforts of you and your Web publishing vendor with your agency to ensure campaign
reporting is accurate and the results are used to regularly review the performance of the campaign.
20
21. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Web analytics tools such as Omniture SiteCatalyst supplement the advertising reporting options that
your agency will offer (eg: for SEM keyword campaigns) by providing independent validation of the
campaign’s performance and far more in-depth metrics on the quality and behavior of respondents
attracted to your site by the campaign. Omniture also offers a complementary product called
SearchCenter for DMOs who want to manage their own ad spend. This type of “bid management
and optimization” software works in tandem with the Web analytics solution to show in very granular
detail the activity around each campaign, search engine, and keyword.
Analytics tools can provide independent validation of SEM performance.
Integrated Marketing - Measuring Online & Offline Advertising
Online marketing forms a significant and increasing part of the marketing budgets of most DMOs.
The Web is also a central fulfillment method and call to action in consumer marketing of all types
including print, billboards, TV and other “traditional media.” While the attributes and values of online
and offline media are different, some simple but important measurement of “offline” media is still
possible within your online analytics. Web metrics solutions such as Omniture SiteCatalyst allow DMOs
and their agency partners to collect some indicative information for “offline” campaign response
and behavior. For example, in the case of market-specific radio, TV or print advertising, traffic from
a specific geographic market area, city or DMA, can be measured and traffic compared to pre-and-
post-campaign activity. Alternately, a specific call to action (“Sign Up for our Competition at www.
yourdestination.com/newyork”) allows tracking of consumers responding to the ad and going directly to
that page. This type of “integrated” reporting that includes measurement of “offline” marketing allows
some broad comparisons between different marketing channels – including response, engagement and
Signals of Intent to Travel.
21
22. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Site Advertising and Specials and Deal Programs
Most DMOs feature promotions on their Web sites. These can include offers, specials, featured
events or businesses plus competitions for users. In addition, an increasing number of DMOs are
running online advertising programs on their site as a revenue generation program (to supplement
advertising in print visitor guides). These promotions and advertising are both targeted messages to
feature specific business partners, highlight a specific offer and act as an immediate “call to action”
for visitors to the site. Web metrics solutions can provide invaluable insights into the performance
of specials and offers and help with planning the advertising formats and placements for your site.
Determining where to place these promotions is easier when you have a sense of how well different
parts of your site perform.
Reviewing the performance of the promotions in the broader objectives of the site is also important.
Which internal promotions are leading to more page views, longer time on site (and, as mentioned
previously, more engagement and advertising revenue)? Which ones have a high participation index
for SITs? Which ones are simply not getting any clicks at all?
In more advanced applications of Web analytics, additional reporting tools (eg: Omniture Test &
Target) can be used to manage the delivery of promotions and advertising on the site so it is targeted
to specific users based on their current and past behavior on the site (called “behavioral targeting”).
In the screen shot below, the #8 promotion in terms of Page Views is actually the #1 promotion
in terms of success event completion. Note that the Merchant Discounts has a Velocity of over
10, meaning that after viewing this page, people went on to view an average of 10 more pages,
ostensibly as they pored over the available offers. It also participated in 74% of success events on the
site, meaning that 74% of those who completed a success event also viewed the Merchant Discounts
page. It would make sense to elevate the prominence of this page, so that it gets more clicks!
22
23. Monitor, Measure and Manage: Best Practices in Web Analytics for Destination Marketing Organizations
Conclusion
A sound Web analytics program, aligned with your DMO’s business needs is a “must” in today’s
highly competitive travel economy. It’s important to state your needs, find a tool that meets them,
supplement with ancillary data as needed and to take action on your findings. As stated earlier, Web
sites are a process, not a project, and even the best sites have room for continuous improvement.
Using SiteCatalyst or another Web analytics solution to inform your marketing efforts and contact
strategies will pay dividends for your DMO for years to come.
23