Home  › Marketing › Strategies

Meet Your Audience (for the Second Time)

  |  January 4, 2012   |  Comments

Use audience measurement data to optimize digital display campaigns. See how with this real-life example.

These days, advertising and data platforms are giving marketers a wealth of information that can be used to validate their strategies and optimize their digital campaigns for better performance. There's a lot of data to sort through - some more useful than others. Sometimes, good campaign optimization comes down to the basics: understanding who your audience is, and why they are doing what they are doing.

Let's look at a real-life example of a digital display campaign, run through the digital ad agency of a popular mattress retailer. The agency wanted to test new inventory sources for the campaign by running broadly on general interest sites, evaluating the demography of audiences that showed purchase intent, and optimizing over the course of the campaign to maximize impact.

A theory being tested was that older audiences, who report more difficulty sleeping than younger demographic groups, would respond more favorably to the retailer's online display ads. Campaigns were initially skewed to sites that over-indexed against an audience composed of ages 50 and older.

age-impression-index
Figure 1: Age of ad viewer, by impressions.

As Figure 1 shows, a bulk of impressions during the discovery portion of the campaign were delivered to visitors aged 46 to 65 years of age, which was the desired demographic. After analysis of those who viewed or clicked on a display ad, and then went on to purchase, the audience composition was remarkably different. As shown in Figure 2, the bulk of conversions came from those aged 18 to 45.

age-conversion-index
Figure 2: Age of mattress purchaser (conversions).

The agency adjusted the ad buy to heavy up on sites that over-indexed for a younger audience, and opted out of buys tailored to the older demographic. As wasted impressions were trimmed down in the overall plan, conversion rates increased dramatically. Testing and validating your instincts with data on an ongoing basis is the key to success in digital display advertising. The mattress retailer, who experienced better sales from older store visitors (offline), found a more responsive younger audience online. Although it seems obvious, having the initial data means being able to smartly allocate marketing capital, and having access to ongoing data means not having to rely on old insights in a changing marketplace.

Another offline theory the mattress retailer sought to validate was the mattress lifecycle. After collecting brick-and-mortar sales data for years, the retailer knew that the average life of a mattress was approximately seven years, and that the single greatest life event influencing the purchase of a new mattress was moving. Therefore, it made sense to target audiences based on length of residence (less than seven years), and target content around buying or renting a new home.

Inventory was bought from a wide range of home-specific and moving sites, and measured using Aperture audience measurement populated with data sets from Experian, IXI financial, V12 demographic, and Nielsen PRIZM data.

length-of-residence
Figure 3: Length of residence, by impressions.

length-click
Figure 4: Length of residence, by click.

As Figures 3 and 4 amply demonstrate, the mattress retailer was targeting the bulk of impressions toward individuals reporting over seven years of residence in a single location, and clicks among that group indexed the highest in aggregate. That data validated the approach of buying into sites with a strong audience of self-reported homeowners. However, a deeper look into audience data revealed a strong distinction between renters and buyers.

renter-vs-owner
Figure 5: Comparing impressions and conversions by home ownership status.

As noted in Figure 5, although the bulk of impressions in the campaign were served to homeowners, renters were the ones buying the most mattresses. This learning did more than any other data point to drive campaign optimization.

Naturally, the next step in the campaign optimization process was to focus inventory delivery to sites that promised a concentrated audience of home renters. Sites such as ForRent.com, ApartmentGuide.com, and Renters.com were added to the optimization plan.

More insights came as the Aperture data was collected. Despite purporting to have a heavy concentration of renters, two of the more popular sites actually index much higher among homeowners, as shown in Figure 6. It looked as though homeowners that were looking into renting made up the majority of the audience - a fact that helped the retailer tailor specific messaging to them.

renters
Figure 6: In this example, a media site aimed at renters, over-indexes against current homeowners.

For this particular campaign, the ability for the retailer to validate certain audience assumptions using real demographic data was critical, as well as the ability to leverage the distinction between two types of potential customers: homeowners, and renters. Additionally, getting real audience metrics beyond a publisher's media kit or self-declared audience information enabled the retailer to craft its creative and messaging in a highly specific way that increased conversions.

When it comes to audience validation and campaign optimization, here are three keys:

  • Know your data. In today's technology-driven marketing world, knowing how to leverage the data available to you is critical to both understanding and targeting your audience. Make sure your marketing investment decisions are driven through the analysis and usage of first-party data, including registration data for demographic modeling; second-party data, such as ad server and search data for behavioral modeling; and third-party data, such as available audience segments from providers like Nielsen and Datalogix, for audience validation, matching, and lookalike modeling. Data is not just about buying audience segments for targeting; it's about trying to get a 360-degree view of your ideal customer.
  • Choose the right data management platform (DMP). There are DMPs for every marketer, so be careful to choose the right one. Big data needs a call for pure play DMPs that can stitch together highly disparate data sets that include all data types, and make both insights, audience segments, and lookalike modeling available in real time. Marketers looking to buy from a variety of third-party audience segment providers should choose a data marketplace such as eXelate, or be willing to access a more limited number of data sources inside a DSP such as AppNexus.
  • Leverage audience measurement. Finally, there's a lot that audience segments can bring to the table in terms of audience insights. Understanding the audience composition of who saw, clicked on, and converted after seeing your campaign gives you the ability to learn about your target customers, their online behaviors, and (most importantly) find more of them. Your DMP should have the ability to marry audience and campaign data to give you a highly granular level view of your best (and worst) performing audience types - down to the creative level.

Learnings from this case study, and other valuable information, can be found in my upcoming "Best Practices in Digital Display Media," available January 2012 from Econsultancy.com.

ClickZ Live New York What's New for 2015?
You spoke, we listened! ClickZ Live New York (Mar 30-Apr 1) is back with a brand new streamlined agenda. Don't miss the latest digital marketing tips, tricks and tools that will make you re-think your strategy and revolutionize your marketing campaigns. Super Saver Rates are available now. Register today!

ABOUT THE AUTHOR

Chris O'Hara

Chris O'Hara is an ad technology executive, and the author of "Best Practices in Digital Display Media," a contributor to ClickZ, and the author of the new whitepaper "Best Practices in Data Management." He can be reached through his blog at www.chrisohara.com

COMMENTSCommenting policy

comments powered by Disqus

Get the ClickZ Marketing newsletter delivered to you. Subscribe today!

COMMENTS

UPCOMING EVENTS

UPCOMING TRAINING

Featured White Papers

Google My Business Listings Demystified

Google My Business Listings Demystified
To help brands control how they appear online, Google has developed a new offering: Google My Business Locations. This whitepaper helps marketers understand how to use this powerful new tool.

5 Ways to Personalize Beyond the Subject Line

5 Ways to Personalize Beyond the Subject Line
82 percent of shoppers say they would buy more items from a brand if the emails they sent were more personalized. This white paper offer five tactics that will personalize your email beyond the subject line and drive real business growth.

WEBINARS

    Information currently unavailable

Jobs

    • Lead Generation Specialist
      Lead Generation Specialist (The Oxford Club) - BaltimoreThe Oxford Club is seeking a talented writer/marketer to join our growing email lead-generation...
    • Health Marketing Editor
      Health Marketing Editor (Agora Inc.) - BaltimoreCome flex your intellectual muscle as part of Agora, Inc’s (http://agora-inc.com/) legal team...
    • Technical Business Analyst
      Technical Business Analyst (OmniVista Health) - BaltimoreOmniVista Health is looking to add a Technical Business Analyst to our expanding team...