Centralized data access is emerging as a key strategy for advertisers. In our next Ask the Expert segment, we explore this topic further and discuss the importance of data ownership and the concept of audience as an asset.
We’re joined by industry leaders, Andy Fisher, Head of Merkury Advanced TV at Merkle, and Chris Feo, Experian’s SVP of Sales & Partnerships who spotlight Merkle’s commitment to centralized data access and how advertisers can use our combined solutions to navigate industry shifts while ensuring consumer privacy. Watch our Q&A to learn more about these topics and gain insights on how to stay ahead of industry changes.
The concept of audience as an asset
In order to gain actionable marketing insights about your audience, you need to identify consumers who are actively engaged with your brand and compare them against non-engaged consumers, or consumers engaged with rival brands.
Audience ownership
Audience ownership is a fundamental marketing concept where marketers build, define, create, and own their audience. This approach allows you to use your audiences as an asset and deliver a customized journey to the most promising prospects across multiple channels. With this strategy, you enhance marketing effectiveness and ensure ownership over your audience, no matter the platform or channel used.
Merkle enables marketers to own and deploy said asset (audience) so that marketers can have direct control over their audience. With audience strategy, you can tie all elements together – amplify your marketing reach, while maintaining control of your audience. Merkle connects customer experiences with business results.
Data ownership
Data ownership refers to the control organizations have over data they generate, including marketing, sales, product, and customer data. This data is often scattered across multiple platforms, making it difficult to evaluate their effectiveness. Alternatively, owning this data, which is typically housed in a data warehouse, allows the creation of historical overviews, forecasting of customer trends, and cross-channel comparisons. With advertisers and publishers both claiming ownership over their respective data and wanting to control its access, there has been a growing interest in data clean rooms.
Data clean rooms
The growing interest in data clean rooms is largely due to marketers increasing preference to maintain ownership over their audience data. They provide a secure environment for controlled collaboration between advertisers and publishers while preserving the privacy of valuable data. Data clean rooms allow all parties to define their usage terms – who can access it, how it is used, and when it is used. The rise in the use of data clean rooms strengthens data privacy and creates opportunities for deeper customer insights, which leads to enhanced customer targeting. Data clean rooms unlock new data sets, aiding brands, publishers, and data providers in adapting to rapidly changing privacy requirements.
Why is centralized data access important?
Centralized data access is crucial for the effective organization and optimization of your advertising campaigns. It involves consolidating your data in one place, allowing for the identification of inconsistencies.
Merkle’s Merkury platform
The concept of centralized data is a key component of Merkle’s Merkury platform, an enterprise identity platform that empowers brands to own and control first-party identity at an individual level. A common use case involves marketers combining their first-party data with Merkury’s data assets and marketplace data assets to build prospecting audiences. These are later published to various endpoints for activation.
The Merkury platform covers three classes of data:
- Proprietary data set – Permissioned data set covering the entire United States, compiled from about 40 different vendors
- Marketplace data – Includes contributions from various vendors like Experian
- First-party data from marketers – Allows marketers to bring in their own data
Merkury’s identity platform empowers brands to own and control first-party identity at an individual level, unifying known and unknown customer and prospect records, site and app visits, and consumer data to a single, person ID. This makes Merkury the only enterprise identity platform that combines the accuracy and sustainability of client first-party data, quality personally identifiable information (PII) data, third-party data, cookie-less media, and technology platform connections in the market.
End-to-end management of data
Data ownership and management enables you to enhance the quality of your data, facilitate the exchange of information, and ensure privacy compliance.
The Merkury platform provides a comprehensive, end-to-end solution for managing first-party data, all rooted in identity. Unlike data management platforms (DMPs) that are primarily built on cookies, the Merkury platform is constructed on a person ID, allowing it to operate effectively in a cookie-free environment.
A broader perspective with people-based views
The Merkury platform is unique because it contains data from almost every individual in the United States, providing a broader perspective compared to customer data platforms (CDPs) which only contain consumer data. The platform provides a view of the world in a people-based manner, but also offers the flexibility to toggle between person and household views. This enables you to turn data into actionable insights and makes it possible to target specific individuals within a household or consider the household as a whole.
How Experian and Merkle work together
Experian and Merkle have established a strong partnership that magnifies the capabilities of Merkle’s Merkury platform. With Experian’s robust integration capabilities and extensive connectivity opportunities, customers can use this technology for seamless direct integrations, resulting in more effective onboarding to various channels, like digital and TV.
“Experian’s role in Merkury’s data marketplace is essential as they are considered the gold standard for data. It significantly contributes to our connectivity through direct integrations and partnerships. Experian’s presence in various platforms and technologies ensures easy connections and high match rates. Our partnership is very important to us.”
andy fisher, head of merkury advanced tv
Through this partnership, Merkle can deliver unique, personalized digital customer experiences across multiple platforms and devices, highlighting their commitment to data-driven performance marketing.
Watch the full Q&A
Visit our Ask the Expert content hub to watch Andy and Chris’s full conversation about data ownership, innovative strategies to empower you to overcome identity challenges, and navigating industry shifts while protecting consumer privacy.
Tune into the full recording to gain insights into the captivating topics of artificial intelligence (AI), understanding how retail networks can amplify the value of media, and the growing influence of connected TV (CTV). Dive into the Q&A to gain rich insights that could greatly influence your strategies.
About our experts
Andy Fisher, Head of Merkury Advanced TV
As the Head of Merkury Advanced TV, Andy’s primary responsibility is driving person-based marketing and big data adoption in all areas of Television including Linear, Addressable, Connected, Programmatic, and X-channel planning and Measurement. Andy has held several positions at Merkle including Chief Analytics Officer and he ran the Merkle data business. Prior to joining Merkle, Andy was the EVP, Global Data & Analytics Director at Starcom MediaVest Group where he led the SMG global analytics practice. In this role, he built and managed a team of 150 analytics professionals across 17 countries servicing many of the world’s largest advertisers. Prior to that role, Andy was Vice President and National Lead, Analytics at Razorfish, where he led the digital analytics practice and managed a team of modeling, survey, media data, and business intelligence experts. He and his team were responsible for some of the first innovations in multi-touchpoint attribution and joining online/offline data for many of the Fortune 100. Andy has also held leadership positions at Personify and IRI. Andy holds a BA in mathematics from UC Berkeley and an MA in statistics from Stanford.
Chris Feo, SVP, Sales & Partnerships, Experian
As SVP of Sales & Partnerships, Chris has over a decade of experience across identity, data, and programmatic. Chris joined Experian during the Tapad acquisition in November 2020. He joined Tapad with less than 10 employees and has been part of the executive team through both the Telenor and Experian acquisitions. He’s an active advisor, board member, and investor within the AdTech ecosystem. Outside of work, he’s a die-hard golfer, frequent traveler, and husband to his wife, two dogs, and two goats!
Latest posts
In the digital age, print coupons are dinosaurs, right? Not one bit. In fact, according to Experian Simmons, users of printed coupons — those obtained from newspapers, magazines, mail, etc.—outnumber users of digital coupons by a margin of almost 3-to-1. As of February 14, 2011 (the latest date for which data was available at the time of this post), 68% of all U.S. adults said their household uses print coupons, a number that has remained relatively unchanged during the past five years. 68% of all U.S. adults said their household uses print coupons, a number that has remained relatively unchanged during the past five years. By comparison, Experian Simmons also reports that 22% of all U.S. adults say their household uses digital coupons obtained from email or the Internet. That figure may be lower than the usage reported for any measured type of print coupon, including those handed out in or near stores, but adoption of digital coupons is growing: in 2005, just 12% of American adults used digital coupons. Smartphones adoption will continue to propel digital coupon use to historic highs in the months and years to come. According to an analysis featured in the 2010 U.S. Household Consumer Trend and Benchmark Report, 34% of U.S. iPhone owners use digital coupons compared with just 21% of non-iPhone owners. Interestingly, use of print coupons among iPhone owners doesn’t suffer a bit. In fact, as of February 14, 2011, 68% of iPhone owners reported that their household used print coupons versus 64% of non-iPhone owners, making it obvious that merchants should give their customers an option of using both print and digital coupons. For further consumer insights, download the 2010 U.S. Household Consumer Trend and Benchmark Report, which includes trends on economic outlook by household income, charitable contributions and planned automobile purchases.
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.