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
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Marketers: personalization is our duty Customers willingly give brands a lot of information. Some brands collect names, birthdays, message preferences and location in addition to contact information like email address, phone number and physical address. Brands that connect through Facebook and other social media accounts gain access to even more information – a person’s likes, friends/followers, age, demographics and more. Why are so many consumers willing to share this information? In a recent webinar, Ed Kowalski, Senior Director of Strategic Services at Experian Marketing Services refers to this phenomenon as the equitable exchange – customers provide companies with personal information because they believe it will enhance their brand experience. In return, marketers have a duty to responsibly use that data to benefit the customer. Personalization is an oft-discussed strategy in marketing, but many marketers struggle to make it a reality. In fact, a recent study found that 94 percent of companies have challenges relating to personalization. Yet marketers continue to collect more customer data – without a clear plan to utilize any of the data in a personalized context. Consider a brand that collects birthdate as part of its subscription process. As a consumer, I will only provide my birthdate if I can imagine a benefit to doing so. And I can – the brand may send me personalized well-wishes or even a special offer on my birthday each year. Because I’m willing to share my birthdate, I expect that the brand will use that data to engage me on a personal level. If they don’t, I’m likely to feel that the data I shared was not used productively, which will damage my perception of the brand and make me more reluctant to share information with them in the future. This concept extends to behavioral data too. Consumers often realize that companies may have data on their past purchases, browsing behavior and more. With this assumption in mind, they expect this data to be used to create more relevant brand experiences as well. Remarketing campaigns like abandoned cart emails and display ads targeted by browse behavior are increasing in popularity, as 69 percent of marketers in our most recent survey run these types of campaigns. This means customers are coming to expect them. So what does this mean for marketers? Not only is it a best-practice to personalize messaging based on customer data, but it’s often a requirement. Consumers are saying, “Show me that you know me.” As marketers, we need to make good on the unspoken promise of this equitable exchange. It doesn’t need to be hard. Check out the slides below or watch the webcast to learn how brands can begin to implement more personalized, relevant messages today.
John Fetto, our Senior Research and Marketing Analyst, explored the top five lessons from the 2014 holiday season and provided tips to help marketers revamp their 2015 holiday campaigns. 1. Move over desktops, consumers are using mobile to search for deals Deal seeking is moving to mobile where consumers have access to pricing and coupons while they are on-the-go and closer to making a purchase decision. In fact, searches for “mobile coupons” are up 14 percent since July when mobile search data was incorporated. As for timing, peak deal-seeking searches typically occur during the holiday shopping season, but the past two years, holiday and back-to-school were nearly equal. For marketers to not leave money on the table, it is critical to target deals and discounts strategically to consumers who need and want them most. 2. The must-have gifts of 2014 2014 was the year of the "Internet of Things," the rapidly growing trend in devices — beyond smartphones, tablets and computers — that connect to the Internet. In particular there was a big leap this season in searches for portable fitness devices and smart watches were up 235 percent year-over-year. Additionally, searches for smart televisions were up 30 percent and searches for smart home automation devices were up 67 percent year-over-year. Savvy marketers will use these insights to reach customers in a myriad of new channels in 2015. 3. Reach consumers later in the week It’s no surprise that the three busiest shopping days this past holiday season were Cyber Monday, Thanksgiving and Black Friday, each capturing more than 225 million online visits to the Hitwise Retail 500. Diving deeper into significant peak days in December, we found that Tuesday and Wednesday earned top spots as key online shopping days. This gives marketers the ability to reach consumers with more relevant messages later in the week and drive in-store sales for the weekend ahead. 4. Email is the second biggest driver of traffic Email continues to be a strong driver of online traffic. In 2014, search engines drove 41 percent of the traffic to the Hitwise Retail 500, followed by email with 8.15 percent. Looking at the performances by key peak days, email was a strong driver of traffic on Thanksgiving and Black Friday, and social media drove the most traffic on Cyber Tuesday, the Tuesday after Thanksgiving. 5. Mobile is a strong driver of traffic to retail sites Much of the mobile activity on retail sites comes from browsing while shopping, whether it’s for price comparison, inventory analysis or to find store hours or locations. In fact, a new study from Experian Marketing Services found that 83 percent of cell phone owners now engage in shopping activities on their phone immediately before, during or after visiting a store. In addition, 53 percent of smartphone owners visit shopping websites from their phone during a given month versus 41 percent who use shopping apps during the same time frame. While mobile apps are great ways for marketers to interact with existing customers, mobile web is critical for reaching potential new customers. Marketers who focus their mobile efforts on developing mobile apps at the expense of mobile optimized sites are likely missing the opportunity to attract new shoppers. Learn more about the 2014 holiday season to prepare for next year Watch the Five things we learned this holiday season webcast for deeper insights into these trends: What branded products and product categories were hot this season Mobile shopping trends, including how much consumers are shopping and buying online Consumers’ deal-seeking tendencies and the trend of omnipresent sales, discounts and coupons Analysis of the peak online shopping days and seasonal traffic trends Which retailers were successful this season and the digital channels that were effective in driving traffic