
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.
Contact us today
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

As technology reshapes our media experience, TV remains a powerful channel for content consumption. In our next Ask the Expert series, we dive into a pivotal subject – the convergence of TV, linear (conventional broadcast and cable TV), and digital marketplaces. In this Q&A segment, we’re joined by two industry experts, Dan Hickox, VP of Development & Partnerships at 605, an iSpot.tv Company, and Chris Feo, Experian’s SVP of Sales & Partnerships, who guide us through an engaging discussion on convergent TV, attribution, measurement, and safeguarding personal data in the evolving landscape of TV advertising. How convergent TV is changing the future of advertising The convergence of traditional TV and digital streaming platforms presents an innovative opportunity for advertisers to engage their target audience. With convergent TV, you can create campaigns that bridge the gap between linear and streaming, ensuring your message reaches your target audience while avoiding ad fatigue. Along with high-quality content, extensive inventory, and targeting capabilities, convergent TV offers advanced measurement and attribution tools that will empower you to optimize advertising campaigns for maximum impact. You can make better decisions regarding when and where to strategically allocate your advertising budgets with effective TV measurement and attribution. Attribution in converged TV TV attribution involves tracing consumer actions and uncovering valuable insights into their behavior. With these insights, you can gain a clear understanding of the audience exposed to your ads and their actions in response. Lean into data attribution tools to track your target audience throughout the customer buying journey. Measurement in converged TV In contrast, TV measurement enables the tracking of performance TV advertising campaigns to assess campaign effectiveness. Through converged TV measurement solutions, you can rely on a singular data source, unifying different channels, devices, and metrics for actionable insights. This analysis will give you insights into the audience reached, their location, and the resulting actions taken. TV attribution’s impact on cross-channel media Embracing an omnichannel advertising approach is vital. Evaluating advertising campaigns across various platforms and devices – including linear, TV, and digital channels – is essential for identifying the channels that drive revenue for your businesses. Converged TV and digital streaming enable you to control ad frequency across all channels, enhancing the cross-screen experience. This convergence paves the way for a more comprehensive and holistic future in advertising. Here are three ways TV attribution impacts cross-channel media. Identify the most effective channels TV attribution offers a significant advantage in determining the channels that generate the most conversions. By using this data, you can make informed choices about budget allocation to achieve maximum impact. Deliver a seamless customer experience Consumers demand consistency in their brand interactions. TV attribution can help you by guiding the optimal timing and placement of ads, resulting in a more seamless viewing experience. This synchronization can significantly enhance customer loyalty and retention. Enhance marketing effectiveness By identifying the most effective channels and refining campaign strategies, TV attribution can significantly improve the success of marketing campaigns. The outcome is a measurable increase in sales and revenue, demonstrating the impact of informed and data-driven advertising. Audience-based targeting across linear and digital ecosystems It's crucial to comprehend and connect with the appropriate audience. The emergence of linear and digital platforms has required the development of audience targeting. Across these two ecosystems, audience-based targeting aims to enhance this process by concentrating on specific audience segments rather than general demographics or programming. Benefits of audience-based targeting There are four key benefits of audience-based targeting across the TV ecosystem. Personalization at scale Digital platforms have conditioned users to expect tailored experiences. Audience-based targeting ensures ads resonate with individual preferences and behaviors, even within the vastness of linear TV. Combining data from both linear and digital sources makes it possible to segment audiences more precisely. This results in advertising content tailored to each individual, making it more relevant and personalized. Optimized ad spend Improve your return on investment by targeting specific audience segments more likely to convert, ensuring your messages reach suitable viewers. In contrast to traditional TV purchasing, where advertisement slots are bought based on a show's overall demographic, audience-based targeting focuses on the viewers' behavior and interests, regardless of the program they are watching. Unified measurement and analytics When combining traditional and digital methods of reaching target audiences, it is essential to have a consistent approach to measuring success. By doing this, you can gain insight into how well your ad campaigns perform across different platforms and the frequency with which they are being seen. By comprehensively understanding audiences within different ecosystems, you can adjust your strategies in real time, guaranteeing that your campaigns remain flexible and successful. Enhancing the viewer experience Audience-based targeting benefits viewers by reducing the number of irrelevant ads they see. As a result, viewers can have a more pleasant experience while watching content, which may discourage them from skipping ads and increase their engagement with the content. Future-proofing and safeguarding data Businesses are focusing on future-proofing for data privacy, and safeguarding individual data is becoming more significant than ever before. Now’s the time to embrace new methods that protect your data privacy while ensuring that measurement remains accurate. Experian offers privacy-safe solutions to help businesses preserve precise measurement, even with fewer cookies. "What we're working toward is future-proofing ourselves. To do that, we work with partners like Experian who are already thinking forward, and with your pixel technology, we can capture and resolve the identifiers that we know will be around for a while."Dan Hickox, VP, Solutions Consulting, Development & Partnerships, 605 How Experian and 605 work together 605 is an independent TV measurement and analytics company providing solutions for advertising, content measurement, attribution, planning, optimization, and media transactions. “We partner with great identity partners, such as Experian, that really help us act as the connecting glue across different data touch points. So what it really is, is the ability to have holistic measurement across the different channels, across the different audiences and it starts out with the ability to be able to take disparate data sources and match them together.”Dan Hickox, VP, Solutions Consulting, Development & Partnerships, 605 605 and Experian have a strong partnership that enables 605 to enhance its data through Experian’s Consumer Sync and Pixel solutions. Consumer Sync – 605 utilizes Experian’s Consumer Sync to ensure their data is privacy-compliant and deterministic across all sources. Experian identity organizes people into households, links their digital devices and IDs to them, enriches their identity with behavioral attributes, and then makes this data actionable in any environment, all while maintaining consumer privacy and data regulations. Web Pixel Attribution – 605 utilizes Experian’s pixel solutions to generate web pixel attribution reports on a client-by-client basis – for linear, TV, and cross-platform reporting. 605’s reporting capabilities allow customers to understand their marketing campaigns' true impact and precisely identify high-performing strategies. With the Experian pixel, partners like 605 can learn more about anonymous website visitors by linking associated demographics and behavior attributes, build audience segments based on the highest cart value customers, and more. The 605 and Experian partnership work hand in hand to make linear TV as actionable as digital media for you. Customers can prove the effectiveness of their marketing tactics and gain actionable insights to deliver highly impactful campaigns. Watch the full Q&A Visit our Ask the Expert content hub to watch Dan and Chris's full conversation about TV measurement, data analytics, privacy regulations, and the evolving landscape of TV advertising in the digital age. Contact us About our experts Dan Hickox, VP, Solutions Consulting, Development & Partnerships, 605 As the Vice President of the Solutions Consulting team, Dan collaborates with sellers to turn prospective opportunities into long-term client relationships. He leads new initiatives and drives partnerships that expand 605 capabilities and improve marketplace positioning. Dan brings over a decade of cross-channel media experience in advanced analytics, media optimization, data integration and statistical analysis to 605. 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

Over the last few months, Experian has released new syndicated audiences to most major platforms supporting retail and travel. In this blog post, we’ll highlight some of these new audiences and how they can be used with other data from Experian to build the perfect audience to reach your customers and prospects. What separates Experian's syndicated audiences Experian’s 2,400+ syndicated audiences are available directly on over 30 leading television, social, programmatic advertising platforms, and directly within Audigent for activation within private marketplaces (PMPs). Reach consumers based on who they are, where they live, and their household makeup. Experian ranked #1 in accuracy by Truthset for key demographic attributes. Access to unique audiences through Experian’s Partner Audiences available on Experian’s data marketplace, within Audigent for activation in PMPs and directly on platforms like DirectTV, Dish, Magnite, OpenAP, and The Trade Desk. Household Expenditure audiences We’ve created new predictive audiences to help retailers reach consumers across 35 categories likely to spend within that category. A few categories include Apparel, DIY, Health, and more. With the launch of these new audiences, we will retire our existing Household Consumer Expenditure, Online and Retail category audiences in the November Digital Master update. Who these audiences are for Our Household Expenditure audiences use data from multiple sources, providing brands with highly accurate purchase predictions and data that scales for digital execution. Household Expenditure audiences are an excellent solution for brands with new product lines or where targeting based on historical purchases lack signal brands seek. Building data from multiple data sources helps ensure high performance and accuracy and can illuminate trends in consumer shopping patterns. These trends can be used to help predict future shopping behaviors. How to refine our Household Expenditure audiences To refine your audience, you can combine this data with Experian’s demographic and household expenditure audiences to ensure you are reaching consumers. For example, suppose you’re an apparel brand launching a new line aimed toward women over the age of 40. In that case, you can use Experian’s demographic data to reach those women and layer in our household expenditure purchase predictor segment for women's apparel to reach their new target audience. Mobile Location audiences We’ve expanded our location database to include more locations and points of interest. With this new data, we could strengthen our existing mobile location audiences to broaden the reach, improve accuracy, and increase performance. We’ve created 11 new mobile location audiences with our new dataset that supports the retail and travel verticals. These new audiences include new shopping behaviors, including high-income and high-end shoppers and travel and entertainment behaviors, including visiting sporting arenas like MLB, NBA, NFL, and university stadiums. Who these audiences are for These audiences are for brands that want to reach consumers based on their location behaviors. Often valid for retail, travel, and entertainment brands, Mobile Location audiences provide brands with highly accurate data that shows previous intent and interest in critical locations. How to refine our Mobile Location audiences To refine your audience, you can combine your Mobile Location audience with Lifestyle and Interest data. For example, if you are creating an advertising campaign for a hotel near a university stadium for the largest game in the season, you could combine university stadium visitors with sports enthusiasts and in-market for travel to find consumers most likely to be interested in your campaign and staying at the hotel. Purchase-Based Transaction audiences For use cases where predictive audiences aren’t the best fit to reach the right consumer, such as targeting consumer’s historical purchases, we’ve created new purchase-based transaction audiences that utilize opt-in consumer transaction data across 29 retail categories, including apparel, home, lifestyle, health, food and beverage, and more. Who these audiences are for These audiences are a perfect fit for brands trying to reach consumers based on previous purchases. These audiences can be broken out by their spending patterns – frequency of purchase and high spenders – and their response to advertising, including direct mail, email, inserts, and digital. How to refine our Purchase-Based Transaction audiences Combine these new audiences with Mosaic to fine-tune your audience based on their purchasing and lifestyle patterns. Suppose you are a brand with a new line of home décor products launching and will utilize influencers to endorse your product line. In that case, you can use Experian’s purchase-based transaction audiences for high spenders in home décor and layer our Mosaic audience Influenced by Influencers to find consumers who are most likely to purchase and trust an influencer. We can help you discover and activate your perfect audience Our audiences are available in most major data and execution platforms. Visit our partner page for more information. Don’t see our audiences on your platform of choice? We can help you build and activate an Experian audience on the platform of your choice. Contact us Latest posts

The AdTech industry is buzzing with discussions about cookie deprecation and effective strategies to tackle it. One of the commonly suggested solutions is the utilization of clean rooms alongside responsibly sourced first-party data. Above all else, the industry recognizes the importance of respecting consumer data and complying with all privacy laws. Additionally, the industry acknowledges the need for a change in our historical practices. This shift benefits everyone involved, as consumer data is more secure than ever. Tremendous investments have been made to ensure the utmost security of consumer information. Clean rooms are one of the tools that enable companies to use data securely, ensuring the content that you see is as relevant as possible. Two ways the AdTech industry is addressing cookie deprecation The days of sending data directly to partners for usage or for using only third-party data for marketing efforts are gone. Now, the emphasis is on responsibly collecting first-party data and using clean rooms to enrich first-party data to enhance marketing efforts. First-party data The industry is starting to lean into first-party data gained through transparent means. This valuable information provides organizations with deeper insights into their customers, allowing for more personalized and effective interactions. By embracing the power of first-party data, either on its own or enriched via partner collaboration, you can cultivate stronger relationships, build trust, and deliver tailored experiences that resonate with your customers on a deeper level. Clean rooms Many data lakes and warehouses offer this service, ensuring their clients can not only store their data with them but can connect it with other partners in a secure environment and extract more information through the combined data sets versus their data on its own. Brands and their partners recognize that they need to work together, and a clean room provides a secure environment to share their first-party data without exposing their sensitive data to their partner. So, while we're losing third-party cookies, brands and partners can still get value from first-party data by using a clean room to generate audience insights, segmentation strategies, personalized experiences and offers, media plans, and measurement and attribution. Three ways data clean rooms can improve Data clean rooms are a great way to facilitate data collaboration while ensuring sensitive data is not exposed. Data clean rooms are not yet easy to use nor are they inexpensive. They require investment, both financially and resource allocation-wise, and you are not guaranteed to yield great match results. Let’s dive into three areas for data clean room improvement. High cost According to the IAB's State of Data 2023, nearly two-thirds of data clean room users spent at least $200K on the technology in 2022. In addition, one-third of data clean room users expect the price of data clean rooms to rise in 2023. The high cost of this solution can make it inaccessible to smaller companies in the advertising space. Resource intensive Nearly half of the companies using data clean rooms have a team of six or more dedicated to the technology, according to the IAB’s State of Data 2023, while nearly a third of companies using data clean rooms have 11 or more employees focused on the technology. Data clean rooms are not turnkey solutions. Inefficient matching Even if companies are using clean rooms does not mean that they are automatically going to achieve great success. Identity fragmentation, data hygiene, and differing identifiers can suppress client match rates in clean rooms, leading to significant investment and a lackluster output. How to get the most return on your clean room investment The finish line for data collaboration in clean rooms is not just having a relationship with a clean room. Instead, you should incorporate an identity resolution solution in your clean room. By adding an identity solution to your clean room, you can: Resolve and match all your identity data, regardless of the identity data that you or your partner have, giving you a larger data foundation to analyze. Generate more valuable insights and information, leading to a better experience for your customers. Join data sets to create smarter activation and targeting strategies and produce more holistic measurement. Experian can help you get started with identity resolution and data clean rooms If you are investing in data clean rooms, that means you are committed to the best in data practices. Experian recommends going the extra step and that you also invest in finding an identity resolution solution. By doing this, you can see better match rates. Experian offers this capability and has existing relationships with three clean room partners, Amazon Web Services, InfoSum, and Snowflake. In addition to collaborating in clean rooms, we offer collaboration in two other secure environments. Contact us today to discuss how we enable identity resolution in clean rooms or to chat about our other collaboration capabilities. Get in touch Latest posts