Keyword research is often overlooked as a valuable source of market research data. Most of the time, keyword research is handed off to junior bid strategists or non-analysts. But what happens when you combine search data with other data? You get incredible insights! Panel session given at 2012 eMetrics Marketing Optimization Summit. Sorry, some of the animation builds don't work here.
3. Performics inspires participation by integrating
highly efficient media with relevant brand
experiences.
The original performance marketing agency
We live performance: 25% of our revenue is
from client ROI
Top 5 buyers of search in the US, and top 10
globally
More than 800 experts in 18 countries
Category specialization includes automotive,
CPG, education, financial services, healthcare,
insurance, retail, tech, and telecomm
3
4. You Know You Need It: Unified Customer View
Source: PulsePoint “Bridging the Digital Divide” 4
2012 PulsePoint.com
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8. Case Study: Consumer Financial Brand Uncovers
High Risk Customer behind Top Keywords
Who’s behind the searches?
Challenge: Look beyond clicks and
conversions
Method:
- Map keywords to valued segments &
behavioral data to drive strategic
planning opportunities
- Segmentation analysis via search data +
other data sources
Outcome: Detailed Searcher Profiles
8
9. Big Wins for Consumer Financial Services Client
Key Take-aways:
Searchers are unique in multiple ways
One of “best performer” KWs clearly tied to a
higher-risk financial profile (Millennials)
Opportunities:
- Modify experience & product offerings to
the type of person, not just the keyword
- Engage Millennials in a different pathway
- Other sites of value for potential
advertising or partnership
9
Dana to add notes“How would you rate your company’s current ability or effectiveness in implementing each of the following digital marketing capabilities?”
Dana:- Setup for what types of insights related to the Keyword Segmentation Analysis that we achieved, and how it was embedded into the presentation. What’s interesting about this is that clients aren’t asking for this type of analysis or view. Mostly because they tend to think REALLY big when they want to better understand the behaviors of their customers, and don’t fully think about all the tools we have at our finger tips. Ideally, we’d use an analysis like this and compliment it with a custom study; whether that be a qualitative social listening analysis or a panel based behavioral study. Methodologies: (background if you need it) Goal: Identify demo characteristics of today’s top searching existing and potential customers in order to inform strategies that effectively communicate with searchersApproach: Leverage internal campaign metrics, syndicated tools and third party research to identify qualified Company X searcher profilesSearch Term Segments Analyzed (based on top 10 qualified KWs):Brand Terms, Apply Terms,Benefit Terms,Credit Card Terms,Partner Product Terms,Reward Terms,Offer Terms,Lending Product Terms,Feature Terms
Dana:Outcome: Associated clusters of queries to credit riskMapped keywords to valued segments & used behavior analytics to drive strategic planning opportunities Identified other sites of value for potential advertising or partnershipKey Take-aways:The insight we gained from this analysis is that searchers are in fact unique in their demo makeup as well as in their online interests outside of the word we monitor them in (for client X, this would be financial services and how they transact/buy new credit cards). From this segmentation analysis we were better able to understand what this person may look like, what types of non financial information they’re interested in and how we might be able to be creative in our messaging and testing approaches to better engage with them, in a way that they like to participate in. “Apply” term searchers skew lower HH income, but over index for Millennial age group who are mobile savvy. Testing on their preferred screen could expose a unique insight.Contextual targeting and competitive ad copy is unique per profile.“Reward” term searchers are not only looking to collect reward points, they want to exchange them (barter)“Apply” and “Partner Product” searchers might be more influenced by family oriented content
pretty self explanatory. Sets up what we looked at and why. There is a appendix slide that shows specifically what terms we analyzed.
The insights we gained from this analysis is that searchers are in fact unique in their demo makeup as well as in their online interests outside of the word we monitor them in (for client X, this would be financial services and how they transact/buy new credit cards). From this segmentation analysis we were better able to understand what this person may look like, what types of non financial information they’re interested in and how we might be able to be creative in our messaging and testing approaches to better engage with them, in a way that they like to participate in.
1comScore MobiliLens, July 2011 (resurfaced by eMarketer)2 Hitwise, Downstream Websites for Term Portfolio, 4 Weeks ending 10/1
1 Hitwise, Downstream Websites for Term Portfolio, , 4 Weeks ending 10/1