
Cuebiq’s mission, as an offline intelligence and measurement company, is to deliver the most accurate and reliable insights on how digital marketing efforts impact offline consumer behavior. This case study shows how Cuebiq, despite signal loss, partnered with Experian to continue delivering in-store lift analyses. To achieve this, Cuebiq used Experian’s Activity Feed to resolve digital ad exposures to in-store purchases, so that marketers could know the effectiveness of their clients’ media campaigns.
Activity Feed helped Cuebiq increase its match rates by using all the identifiers supported in Experian’s signal-agnostic Digital Graph, reducing its reliance on third-party cookies. By partnering with Experian, Cuebiq could help their clients, marketers, more accurately measure their campaigns and optimize their media.
What is Activity Feed?
Experian’s Activity Feed pulls together fragmented digital event data from all digital channels, including browsers like Safari and Firefox that restrict traditional tracking methods. Activity Feed ingests and ties this digital ad exposure data to household or individual profiles hourly, helping clients associate that data to offline purchase activity made by that household or individual. Activity Feed plays a crucial role in overcoming fragmented data and helping marketers accurately measure their cross-channel marketing efforts.
Challenge: Increasing match rates across digital platforms
Cuebiq wanted to enhance how well they connect digital ad exposures, across web, mobile and connected TV (CTV) to specific mobile ad IDs (MAIDs), of those who visited clients’ stores. They needed a single technology partner who could collect data across these environments and improve these connections, especially as iOS updates, like iOS 14.5, posed potential challenges.
With the ability to resolve exposures to households, individuals, and MAIDs to then facilitate attribution of digital exposures to offline store visitation, Cuebiq could continue to provide accurate reports on how online ads impact offline consumer behavior. This clarity in data enables their clients to fine-tune their marketing strategies.
Cuebiq’s key objectives included:
- Resolving digital exposures to MAIDs
- Increasing overlap of offline and online data
- Improving the effectiveness of offline measurement offerings
Activity Feed: The solution to increase match rates
Cuebiq used Activity Feed to resolve data from cookieless environments like Safari to a single household or individual and saw significantly higher match rates. Cuebiq was able to track cross-channel media exposures, resolve them to MAIDs, and then use the Activity Feed output to correlate in-store visitation and sales to their clients’ media campaigns. Cuebiq also implemented the Experian pixel, which they placed to track all their marketers’ impressions (mobile, CTV, web traffic, etc.). The Experian pixel collects information in real-time, such as:
- Timestamp
- Cookies
- Device ID (MAID/CTV) when available
- IP address
- User-Agent
- Impression ID
“Before we started working with Experian, we couldn’t fully maximize ad views across the complex digital landscape. In just a few weeks, they were able to maximize the match rate across the fragmented digital inventory, solving a huge problem when it comes to cross-channel attribution.”
Luca Bocchiardi, Director of Product, Cuebiq
Results
Activity Feed combines separate data streams and matches them back to a household. This enables Cuebiq to expand household IDs and accurately identify MAIDs that are seen in-store for cross-channel measurement. Over a 21-day period, Cuebiq passed ~1 billion events to Experian. Activity Feed resolved 85% of total events to a household, 91% of which were tied to MAIDs.

By implementing Activity Feed, Cuebiq was successfully able to:
- Gain clearer insights into the success of their client‘s campaigns
- Match consumer engagements in a privacy-compliant manner
- Tell the story of the key performance indicators (KPIs) related to their marketing efforts
Prepare for a cookieless future with higher match rates
Activity Feed is prepared for a cookieless future and uses alternative IDs, like ID5 IDs, hashed emails, and IPs for identity resolution, ensuring no reliance on third-party cookies. Experian remains fully committed to exploring a suite of next-generation solutions and prioritizing continued testing of different industry solutions, including the Google Privacy Sandbox, to help customers prepare for a future without cookies. We’ve identified six viable alternatives to third-party cookies, how these alternatives fall short, and how Experian can help you navigate these alternatives.
“Experian’s customer service is extremely efficient and collaborative. We trust them to keep putting our business first long-term.”
Luca Bocchiardi, Director of Product, Cuebiq
Download the full case study to discover how Cuebiq used Activity Feed to overcome their challenges. Your path to maximizing match rates and resolving data from cookieless environments starts here.
About Cuebiq
Cuebiq is transforming the way businesses interact with mobility data to providing a high-quality and transparent currency to map and measure offline behavior. They are at the forefront of all industry privacy standards, establishing an industry-leading data collection framework, and making it safe and easy for businesses to use location data for innovation and growth.
To learn more, visit their website at www.cuebiq.com
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Spiders, Rams, Seminoles, Golden Eagles, and Bulldogs. This is one way to describe the diverse collection of Cinderella teams that have advanced to the Sweet 16 in this year's NCAA men's basketball tournament. Four of these teams, the University of Richmond, Virginia Commonwealth University (VCU), Florida State, and Marquette, take their double-digit seeds to the next round in hopes of reaching the Elite 8. Butler, last year's Cinderella story, is seeking a visit to the Final Four for the second straight year. Interestingly, Richmond, VA is the home market for two of the Sweet 16 teams. These are the University of Richmond and VCU. Even more interesting is the fact that these two teams are on a collision course. With wins in the next round they would meet in the Elite 8 for a prized spot in the Final Four. With their surprise victories in the tournament so far, what these teams have in common is being labeled “bracket busters.” A more extensive market analysis uncovers other similarities, plus some notable differences. Here are highlights from profiles of the home market areas for this year's Cinderella teams using data from Experian's Mosaic consumer lifestyle segmentation system and Experian Simmons market research. The following statistics are based on the home markets of the five Cinderella teams. All four Cinderella teams hail from markets with above average interest in college basketball. Milwaukee, home of 11th seeded Marquette, has the highest concentration of adults who are interested in college basketball (28.1%). This is 11 percent relatively higher than percentage for the total U.S. Milwaukee also has the highest percentage of adults who said they watched last year's men's NCAA Division I tournament (17.3%). This is a relative six percent higher than the total U.S. The 10th seeded Florida State Seminoles hail from Tallahassee, which has the second highest percentage of adults with an interest in college basketball (26.9%). Richmond, where both 11th seeded VCU and 12th seeded Richmond are based, is just behind Tallahassee when it comes to the percentage of adults who are interested in college basketball (26.7%). Indianapolis has the lowest percent of residents who are interested in college basketball (26.3%), but that's still a relative four percent higher than the U.S. as a whole. Although interest should be very high this year, Richmond and Indianapolis (15.8% each) have the lowest percentage of adults who watched last year's tournament. Cinderella Team Market Snapshots Richmond, VA Home market of: Richmond Spiders, VCU Rams Sweet 16 opponents: Kansas, Florida State The top two segments in Richmond representing 30% of the market's households are: Metro Minority Communities (18.1%) comprised of married couples and single-parent minorities earning above average incomes from a mix of service industry and white-collar jobs in transportation, health care, education, and public administration. Urban Commuter Families (11.5%) comprised of upscale, college educated Baby Boomer families and couples living in single detached homes in city neighborhoods on the metropolitan fringe. Other interesting facts: Most over-represented segment is Metro Minority Communities (3.8 times the national average) Percent of adults with interest in college basketball is 26.7% Percent of adults who watched last year's men's college basketball tournament is 15.8% Tallahassee, FL Home market of: Florida State Seminoles Sweet 16 opponent: VCU Rams Similar to Richmond, the top two segments in Tallahassee are Metro Minority Communities (14.8%) and Urban Commuter Families (6.9%). The two segments that account for the next highest share of households are: Struggling City Centers (6.7%) comprised of young, single and single-parent minority renters living in low-income city neighborhoods. Rural Southern Living (6.5%) comprised of lower-income blue-collar couples and families living in sparsely settled mobile home communities. Other interesting facts: Most over-represented market segment is College Town Communities (6.2 times the national average) Percent of adults with interest in college basketball is 26.9% Percent of adults who watched last year's men's college basketball tournament is 16.8% Milwaukee, WI Home market of: Marquette Golden Eagles Sweet 16 opponent: North Carolina Tarheels The top segment in Milwaukee representing 11.2% of households is Urban Commuter Families (as described above). The two segments that account for the next highest share of households are: Small-town Success (10.5%) comprised of white collar, college educated, middle-aged working couples living in newly developed subdivisions outside the nation's beltways. Steadfast Conservative (9.3%) comprised of high-school educated mature singles and couples living in middle-class urban blue-collar neighborhoods. Other interesting facts: Most over-represented market segment is Successful Suburbia (3.6 times the national average) Percent of adults with interest in college basketball is 28.1% Percent of adults who watched last year's men's college basketball tournament is 17.3% Indianapolis, IN Home market of: Butler Bulldogs Sweet 16 opponent: Wisconsin Badgers There are four equal size segments that account for just over 30% of Indianapolis households. These include Steadfast Conservative (8.9%), Urban Commuter Families (7.8%), and Small-town Success (7.1%). All three of these segments are also among the top five in Richmond, Tallahassee, and Milwaukee. What makes Indianapolis unique from the other three markets is a higher percentage of New Suburbia Families (7.2%). These are young, affluent working couples with pre-school children concentrated in fast-growing, metro fringe communities. Other interesting facts: Most over-represented market segment is Successful Suburbia (2.8 times the national average) Percent of adults with interest in college basketball is 26.3% Percent of adults who watched last year's men's college basketball tournament is 15.8%

Tournament play begins this week in the 2011 NCAA Men's Division I Basketball Tournament, which means office productivity is likely to take a hit as fans jump online to watch live streams of games being played during working hours. With online viewing options expanded to mobile and other digital platforms this year, fans have more avenues than ever to get their March Madness fix. In fact, according to a recent estimate by Challenger, Gray & Christmas, total online tournament viewership during work hours is likely to reach 8.4 million hours during this year's tournament. In this latest installment of Experian Marketing Services' continuing March Madness consumer coverage, we'll profile the work life of online game streamers. Is there one down the hall or in the next cube? The answer is almost certainly “yes,” but the “who” may surprise you. According to Experian Simmons, just over 5% of all U.S. adults and nearly a quarter of adult NCAA men's tournament viewers (24%) qualify as likely online game streamers. For the purpose of this analysis, likely online game streamers is defined as those U.S. adults who watched the last NCAA men's basketball tournament who also sought out sports information online or watched online video in the last 30 days. These likely online game streamers must have also visited either cbssports.com or espn.com in the last 30 days. Fully 79% of likely online game streamers are employed either full-or or part-time, with 59% working 40 or more hours a week. Department managers and IT staff-have reason to be concerned about a loss in productivity during March Madness: fully 79% of likely online game streamers are employed either full-or or part-time, with 59% working 40 or more hours a week. Don't be so quick to suspect that colleague who always shows up late and goes home early as a game streamer. A safer bet would be the guy who's always at his desk when you get in and still there when you head out. In fact, one-in-ten adults who work more than 40 hours a week (11%) are likely online game streamers, meaning they're more than twice as likely as the average adult to be checking out the game online. Remote employees who work at home often get a bad rap with office “suits” sometimes assuming their pajama-clad colleagues fall prey to distractions. Actually though, Americans who work from home are no more or less likely to be likely online streamers than those who don't work from home. Likewise, the self-employed are no more or less likely to be online game streamers than laborers who work for “the man.” Interestingly, Experian Simmons found a direct correlation between company size and a worker's chance of being a likely online game streamer. Specifically: Those who work in companies with fewer than 100 employees are 17% less likely than the average American worker to be likely online game streamers. Those who work in companies with between 100 and 499 employees are just two percent less likely than average to be likely streamers while those employed by companies with between 500 and 999 employees are eight percent more likely to be online game streamers. Employees of companies with 1,000 or more employees are the most likely culprits with the group on average being 17% more likely to be likely online game streamers. As such, it's no surprise that Fortune 500 companies are the most at risk of having offices full of online streamers during March Madness. Employees of Fortune 500 companies are fully 66% more likely to be online game streamers than those who Americans employed by a non-Fortune 500 company. Finally, the best insight into whether your office mates are streaming basketball games online instead of working is by looking at their paycheck (not that we encourage that of course). Specifically, as income rises, so does one's chance of being an online game streamer: Employed Americans who personally earn less than $25,000 annually are the least likely to be online game streamers, scoring 50% below average on this metric. Those who earn between $25,000 and $49,999 are only 15% less likely to be game streamers. If you know or suspect that your colleague earns upwards of $50,000 a year, it's a good idea to keep an eye on them for the rest of the month; workers with incomes between $50,000 and $74,999 are 33% more likely than average to be likely game streamers and those who earn between $75,000 and $99,999 are 75% more likely to be likely game streamers. Your colleagues earning $100,000 or more annually are the most likely to be streaming online, with those personally taking home between $100,000 and $149,000 being a whopping 164% more likely than the average employee to be streaming games online. And those earning $150,000 or more annually being fully 176% more likely to be online game streamers. Moreover, one-in-five adults who earn $150,000 a year or more fall into our likely online game streamers segment compared with just 5% of all U.S. adults. The first match-up to be played during the traditional workday tips off at 12:15 EDT on Thursday March 17th when West Virginia takes on the winner of the second round-one play-in game. Armed with this information, you should be able to catch-or join-your office's online game streamers in the act.

In our upcoming 2011 Digital Marketer Report, we will cover what influences purchase decisions. While you'll have to wait to read the report to see the entire list, when ranking influencers to purchase decisions: 54% of U.S. adults identified old-fashioned Word of Mouth (WOM), while information from webpages (47%) ranked second and online consumer reviews (31%) ranked as the third most important. It's nearly impossible to measure old-fashioned WOM, and “Information from a website” is a very broad category. Gauging the uptake in online consumer reviews is another story, however. Visits to online review pure-play Yelp.com is a good proxy for the uptake in online reviews in the service sector (restaurants, dry cleaners and dentists to name a few). Over the past two years, visits to Yelp.com have increased over 136%. Given such impressive and steady growth since 2009, you might assume that Yelp and other sites like it have become ubiquitous. Your assumption, however, would be incorrect. While age demographics of visitors to the site show that use of the online consumer reviews has reached maturity (Internet users over the age of 55 make up the largest age bin at 25%), geo-demographics, or visits by DMA, tell a completely different story. The top five cities by representation; San Francisco, San Diego, Monterey, Los Angeles and Sacramento reveal the first skew, that Yelp.com visitors favor the West Coast, where the company was founded. So it seems that, by percentage, the largest U.S. cities also figure significant. When looking at visitors to the site by Mosaic™ segments, Americas Wealthiest, Young Cosmopolitans and other affluent types figure heavily in the site's traffic. Taken all together, the numbers reveal that while Yelp.com continues to grow, its participants continue to be a very distinct subset of U.S. Internet users. This niche set of users might explain why traditional WOM continues to show more significance in influencing purchase decisions. Want to learn more about other purchase decision influencers? Click here to request a copy of Experian Marketing Services highly-anticipated 2011 Digital Marketer Report, launching in late March. The report features an editorial by Bill Tancer as well as unreleased data spanning email, social, mobile, search and more.