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
Data may not be the most glamorous aspect of marketing but it is at the heart creating meaningful consumer interactions in today’s data-driven world. In our award-winning, annual Digital Marketer Report we asked senior leaders about their top challenges and priorities. They said things like standing out against competitors, creating relevant interactions and customer acquisition. To my surprise, they didn’t say data. However, all the top challenges and priorities are predicated on having accurate, enriched data that is linked together in a central location for a complete customer view. The sobering fact is that most brands are not there yet. Most are not fully utilizing their data assets and maximizing their marketing intelligence. Take a look at these stats from the Digital Marketer Report to get an idea of where most brands are with data management practices. Overall, 45% of companies collect data via mobile – be it a mobile website, app or both TWEET THIS! 97% of companies suffer from common data errors. 61% of companies named human error as a top reason for data inaccuracies. TWEET THIS! On average globally, companies believe that 23% of their budget is wasted annually due to poor data quality. TWEET THIS! Today, only 35% of companies manage their data centrally through a single director. TWEET THIS! 99% of companies believe achieving a single customer view is important to their business. Only 24% of companies say they have a single customer view today. TWEET THIS! 29% of marketers who enrich their data with third-party data only add one type of data. TWEET THIS! One-quarter of marketers don’t enrich their data with any kind of third-party data. TWEET THIS! It’s important for marketing leaders to understand that they first need to focus on data and creating a customer-centric organization to support good data-management practices. Only then will they be able to reach their goals.
To say that Amazon Prime Day was a raging success is a considerable understatement Prime Day, the manufactured holiday by Amazon.com to mark the site’s 20th anniversary on July 15, 2015, was the biggest day of the past year for Amazon.com…by far. Experian Marketing Services’ Hitwise® online intelligence tool reports that Amazon.com garnered over 83.3 million visits from mobile and desktop browsers on Prime Day. By comparison, Prime Day topped Cyber Monday — the previous record holder — by a staggering 51.5 percent and Black Friday by 77.2 percent. It’s actually a bit ironic that Amazon promoted Prime Day as having more deals that Black Friday. That’s because visits to Amazon.com have actually been growing so steadily that last year’s Black Friday isn’t even among the site’s 10 biggest traffic days of the last 12 months. Nearly half of the days in July this year, in fact, have had visit counts that surpassed Black Friday. Compared to the previous Wednesday (July 8), the number of visits to Amazon.com on Prime Day rose 68 percent. But Amazon wasn’t the only retailer celebrating. Prime Day was definitely more of a “a rising tide lifts all boats” kind of event. For instance, 57 of the top 100 retail sites in the Hitwise 500 also saw increased visits on July 15 compared to the Wednesday prior. Walmart and Best Buy, which offered competing deals, had a an especially strong showing on Prime Day with visits to their sites up 97 percent and 44 percent, respectively, over the previous Wednesday. Search on Amazon Prime Day So what deals were consumers flocking to Amazon.com to take advantage of? To find out, I used Hitwise to compare the search terms leading to Amazon on Prime Day compared to the previous Wednesday. No surprise, many of the products that had the greatest increase in search click share week-over-week were Amazon’s own, including the “Amazon Fire Stick” (+417 percent) and “echo” (+357 percent). But also on the list were other products that were part of Amazon’s celebratory deals, such as “Nexus 6” (+352 percent), “Instant Pot” (+271 percent) and “PS4” (+250 percent). Overall, searches for Amazon Prime Day and variations thereof were common on July 15 and Amazon.com received 59.8 percent of search clicks from “Amazon Prime Day” searches, 61.2 percent of which were paid, meaning Amazon invested heavily in making sure that it successfully captured the traffic of interested consumers. But obviously not all Prime Day searches lead to the retail giant. Media sites Wired, CNNMoney.com and NBC News each captured at least three percent of traffic following a Prime Day search. In fact, seven of the top 10 winners of “Amazon Prime Day” searches were news and media outlets, which largely did not invest in paid search for that term. Walmart, which captured 1.5 percent of “Amazon Prime Day” searches, however, did pay. Among the “Amazon Prime Day” search clicks that lead to Walmart.com, 63.6 percent were paid. Of course two can play at that game. Amazon was also busy buying search terms of competitors on Prime Day. For instance, 23.9 percent of the clicks to Amazon from searches for “Target” were paid as were 15.9 percent of “Newegg” search clicks, eight percent of search clicks from “Best Buy” searches and 2.5 percent of search clicks for “Walmart.” Sources of traffic In terms of sources of traffic to Amazon.com, News and Media sites accounted for a 56 percent greater share of upstream traffic on Prime Day (6.7 percent) than the previous Wednesday (4.3 percent). But media weren’t the only ones talking about Prime Day, consumers, too, were taking to social media to chat up the event. And while not all online chatter was positive, Social Media sites delivered 15.2 percent of all referred traffic to Amazon.com on Prime Day, up from 11.3 percent of traffic the Wednesday prior, a relative increase of 35 percent. Despite the fact that Prime Day was meant to celebrate a milestone anniversary for Amazon, the overwhelming success for Amazon and other retailers will likely make it an annual event. If that is indeed the case, consumers will come to anticipate the day much like they do Black Friday. Marketers shouldn’t discount the potential for an annual Prime Day event to disrupt normal consumer spending patterns as well as drive even more dollars to be spent through online channels. For more information on how you can leverage Hitwise, the world’s largest sample of online consumer behavior, to improve the effectiveness of your search, display, affiliate, mobile, email and social media marketing campaigns, click here.
Pat Pellegrini is General Manager for Experian Marketing Services’ Consumer Insights group in North America. He also serves as Chief Research Officer and strongly supports the important role that high quality measurement science plays in driving deeper, more actionable consumer understanding. Every year, the American Association for Public Opinion Research (AAPOR) holds its annual conference where research professionals gather to discuss the latest trends, innovations and research. As a leading provider of consumer insights, Experian Marketing Services has an important role to play within AAPOR, the top professional organization of public opinion and survey research professionals. Since joining Experian as Chief Research Officer, and now as General Manager of Consumer Insights, I have driven our organization — already known for our trusted consumer insights — to move even more aggressively on innovations in measurement science, whether that is through self-reported consumer surveys like our Simmons National Consumer Study or passive data collection like our Hitwise online intelligence data. Consumers are being profoundly affected by rapid changes in technology and we are committed to being at the forefront in developing new research approaches to ensure that our data accurately and reliably reflects consumer decisions, behaviors, attitudes, lifestyles and media preferences. Experian Marketing Services was well represented at this year’s AAPOR conference both among attendees and presenters. In fact, six exciting topics from Experian were presented at the conference based on the work we do here every single day. Having this level of recognition from our research peers and the AAPOR organization is an outstanding accomplishment that speaks to our commitment toward research quality and innovation. It’s these types of insights that will help propel the industry forward. At the conference, I was delighted to present, along with my colleague Gerry Dirksz, findings from a successful initiative that Experian Marketing Services recently undertook to produce higher response rates to our Simmons National Consumer Study. Declining response rates are an obstacle facing nearly every player in our field and one that has real implications on data quality. Because certain key segments of the population (e.g., Millennials, Hispanics, etc.) are disproportionately less likely to respond to or participate in research studies, marketers and others who rely on such research may be handicapped by potential blind spots in the resulting data which prevent them from fully understanding important consumer audiences. To prevent such blind spots from occurring in our data, we tested a new two-phased dynamic incentive program that took into consideration an individual household or specific respondent’s propensity to fall into certain “hard-to-reach” segments. With this information in hand, we were able to offer different (often higher) incentives to “hard-to-reach” respondents from the start in order to improve response rates of those segments. Compared to control groups, response rates among those whose incentives were determined by the dynamic model were significantly higher. Having now rolled out this successful process for our entire sample frame, we have seen overall response rates improve markedly. While Experian is not alone in testing new initiatives like these, we are most definitely pioneers in the space and are setting an example for others to follow now that we have demonstrated results. In this regard, I look forward to blazing new trails based on well-thought hypotheses from our expert team. This will ensure that our data continues to be the gold-standard for helping our clients better understand consumers so that they can create more relevant and engaging interactions. Other topics presented by Experian at AAPOR include: The effects of total navigational burden, length of instrument and page complexity on item non-response This paper examined item non-response for long surveys which is a major topic of concern for survey researchers, particularly those looking to collect a large number of measurements from a single source. Specifically, binary (yes/no) questions were studied and potential factors that might contribute to item non-response were identified for further exploration. Patterns of response and non-response to sexual orientation measures In this presentation, relationships and patterns of item non-response among non-Hispanics to a measure of sexual orientation contained within the Simmons National Consumer Survey were explored. Since 2009, item non-response to the sexual orientation question has declined by a rate of 26 percent with a decline among 18-34 year-old respondents of 43 percent. U.S. Hispanic receptivity to self-reported measure of sexual orientation This paper examined the effects of adding a question on sexual orientation with respect to mail survey instrument return rates and item non-response rates among the U.S. Hispanic population. A key finding from this research was the pronounced, significant difference in item non-response rates which were disproportionately higher for Hispanics compared to non-Hispanics and significantly higher for Spanish-language Hispanics versus English-language Hispanics. Does providing an email address in an initial contact study indicate respondents will be cooperators in a subsequent online panel study? This study examines how the cooperation rate for a future study differs between individuals who are willing to provide an email address in the initial phase and those who are not. Results indicate that respondents who provide an email address in the initial contact study are more cooperative in joining a subsequent online panel than those who do not provide an email address. Patterns of non-response to health, diet, nutrition and apparel measures conditioned on body mass index This study examines the relative response of overweight or obese individuals to questions concerning diet, nutrition, health and even apparel in comparison to those individuals classified in the normal range for BMI. Based on our findings, a BMI measurement, outside of the normal range, would not negatively impact a study’s non-response rate to other survey questions related to one’s self-image. For more information about these presentations, please contact us at consumerinsight@experian.com.