As privacy regulations, signal loss, and consumer expectations change, marketers face growing challenges in creating meaningful connections. In our latest Ask the Expert segment, Tom Wolfe, SVP at Viant, and Ali Mack, VP of AdTech Sales at Experian explore how first- and third-party data strategies, advancements in connected TV (CTV), and AI tools empower marketers to build smarter campaigns tailored to modern demands.
Identity-driven advertising built on first-party data
With the decline of traditional third-party signals and the rise of privacy-first advertising, first-party data is more important than ever. By collecting data directly from customers, marketers ensure they have accurate, user-consented data to fuel personalized advertising. Viant’s identity graph takes these first-party signals—such as email addresses, household locations, and phone numbers—and connects them with additional attributes in a privacy-safe way. This approach empowers marketers to build precise audience segments without relying on cookies, which Viant phased out over a decade ago.
Combining first-party data and privacy-first solutions to build trust
By combining first-party data strategies with privacy-first solutions, marketers can build long-term success while earning consumer trust. The Viant Household ID eliminates reliance on cookies while enabling secure, compliant campaign management. Additionally, Viant’s partnerships with cleanrooms further protect their clients’ data integrity and ensure smooth collaboration between trusted parties. Beyond safeguarding consumer information, the Viant ecosystem allows their clients to integrate data seamlessly from audience segmentation to campaign activation and reporting.
How first and third-party data work together
While first-party data is crucial for precise, personalized advertising, it isn’t always sufficient—especially for smaller or emerging brands that haven’t yet amassed audience data. Third-party data plays a pivotal role in these scenarios by supplementing first-party insights, offering a broader view of consumer behavior, leading to new growth opportunities.
Viant collaborates with partners like Experian to help marketers seamlessly merge their customer information with additional consumer insights. Viant and their clients benefit from Experian’s identity data to match various identifiers such as hashed emails, device IDs, or other platform-specific tags and map them back to a single consumer profile. With a unified view of the consumer, marketers can refine targeting, expand their reach, and maintain consistency across channels. By utilizing first- and third-party data solutions, marketers can build well-rounded, effective campaigns that resonate with diverse audiences.
“Our clients have embraced the Viant Household ID because it powers a comprehensive, seamless flow from segment creation to targeting, activation, and measurement.”
Tom Wolfe, SVP Business Development, Viant
CTV as a core marketing channel
CTV is emerging as the core platform for immersive and effective advertising by merging the visual storytelling power of traditional TV with the precision of digital tools. Viant helps marketers optimize CTV capabilities by building connections between premium publishers and data, allowing marketers to personalize experiences. Whether it’s tailored ads for families watching a live sports event or pinpointing niche interests, CTV enables marketers to reach diverse audiences with meaningful ads. Beyond awareness, Viant drives results for their clients and monitors that performance across each stage of the funnel. Marketers can use the key insights to optimize their media buys on CTV and achieve even higher ROI.
Viant takes CTV performance a step further with its direct access programs. Stronger data matching via publisher partnerships improves accuracy, helping marketers connect with their ideal audience. Viant’s recent data shows that campaigns incorporating CTV achieve a conversion rate of 12.89%, outperforming campaigns lacking it by a wide margin. This dramatic improvement highlights the power of precise targeting combined with Viant’s advanced CTV tools. For marketers, this translates to impactful storytelling supported by tangible results.
“CTV drives high-level brand awareness via sight, sound, motion, and emotion, but it also powers activity through the funnel.”
Tom Wolfe, SVP Business Development, Viant
AI is streamlining marketing from start to finish
AI is transforming advertising by automating tasks like performance tracking and audience segmentation, allowing marketers to focus on strategy and creativity. At Viant, AI is part of the company’s DNA, helping marketers drive more efficient and effective campaigns.
With real-time data insights and streamlined processes, teams can quickly refine messaging and optimize budgets. This efficiency not only saves time but also empowers marketers to channel their energy into creating impactful strategies that resonate with their audiences. The integration of AI into Viant’s ecosystem also simplifies overall workflows, optimizing campaign execution from start to finish. With performance tracking made easier and segmentation automated, marketers can rely on data accuracy and actionable insights to make confident decisions.
How Experian and Viant work together
Experian’s syndicated audiences—demographic, auto, TV, FLA (Financial Fair Lending Act), and more—are available within Viant’s platform. Experian’s partnership with Viant enables the deployment of custom audiences specifically designed to meet distinct campaign objectives. Together, Experian and Viant provide solutions that support first-party data strategies, third-party data integration, CTV optimization, AI-driven insights, and identity resolution, creating a cohesive and privacy-forward marketing ecosystem.
“At Viant, we focus on the sensible, scalable, impactful opportunities.”
Tom Wolfe, SVP Business Development, Viant
Watch the full Q&A
Visit our Ask the Expert content hub to watch the full conversation with Tom and Ali and learn more about Viant’s scalable identity solutions.
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About our expert
Tom Wolfe, SVP Business Development, Viant
As SVP of Business Development at Viant, Tom and his team forge strategic business partnerships that fuel the company’s growth and business strategy. He is a seasoned industry veteran with more than 25 years of expertise in content distribution, advertising, and technology, particularly in CTV. Throughout his career, Tom has played a pivotal role in establishing and managing multiple businesses at major companies such as Roku, TiVo, YuMe, and Comcast. Additionally, he has provided valuable advisory services to organizations including VIZIO, Vice Media, and many others across the ecosystem. Tom holds a B.A. in Political Science from Lehigh University and has shared his knowledge as a guest lecturer at both New York University and Drexel University.
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Originally appeared on MarTech Series Marketing’s understanding of identity has evolved rapidly over the past decade, much like the shifting media landscape itself. From the early days of basic direct mail targeting to today's complex omnichannel environment, identity has become both more powerful and more fragmented. Each era has brought new tools, challenges, and opportunities, shaping how brands interact with their customers. We’ve moved from traditional media like mail, newspapers, and linear/network TV, to cable TV, the internet, mobile devices, and apps. Now, multiple streaming platforms dominate, creating a far more complex media landscape. As a result, understanding the customer journey and reaching consumers across these various touchpoints has become increasingly difficult. Managing frequency and ensuring effective communication across channels is now more challenging than ever. This development has led to a fragmented view of the consumer, making it harder for marketers to ensure that they are reaching the right audience at the right time while also avoiding oversaturation. Marketers must now navigate a fragmented customer journey across multiple channels, each with its own identity signals, to stitch together a cohesive view of the customer. Let’s break down this evolution, era by era, to understand how identity has progressed—and where it’s headed. 2010-2015: The rise of digital identity – Cookies and MAIDs Between 2010 and 2015, the digital era fundamentally changed how marketers approached identity. Mobile usage surged during this time, and programmatic advertising emerged as the dominant method for reaching consumers across the internet. The introduction of cookies and mobile advertising IDs (MAIDs) became the foundation for tracking users across the web and mobile apps. With these identifiers, marketers gained new capabilities to deliver targeted, personalized messages and drive efficiency through programmatic advertising. This era gave birth to powerful tools for targeting. Marketers could now follow users’ digital footprints, regardless of whether they were browsing on desktop or mobile. This leap in precision allowed brands to optimize spend and performance at scale, but it came with its limitations. Identity was still tied to specific browsers or devices, leaving gaps when users switched platforms. The fragmentation across different devices and the reliance on cookies and MAIDs meant that a seamless, unified view of the customer was still out of reach. 2015-2020: The age of walled gardens From 2015 to 2020, the identity landscape grew more complex with the rise of walled gardens. Platforms like Facebook, Google, and Amazon created closed ecosystems of first-party data, offering rich, self-declared insights about consumers. These platforms built massive advertising businesses on the strength of their user data, giving marketers unprecedented targeting precision within their environments. However, the rise of walled gardens also marked the start of new challenges. While these platforms provided detailed identity solutions within their walls, they didn’t communicate with one another. Marketers could target users with pinpoint accuracy inside Facebook or Google, but they couldn’t connect those identities across different ecosystems. This siloed approach to identity left marketers with an incomplete picture of the customer journey, and brands struggled to piece together a cohesive understanding of their audience across platforms. The promise of detailed targeting was tempered by the fragmentation of the landscape. Marketers were dealing with disparate identity solutions, making it difficult to track users as they moved between these closed environments and the open web. 2020-2025: The multi-ID landscape – CTV, retail media, signal loss, and privacy By 2020, the identity landscape had splintered further, with the rise of connected TV (CTV) and retail media adding even more complexity to the mix. Consumers now engaged with brands across an increasing number of channels—CTV, mobile, desktop, and even in-store—and each of these channels had its own identifiers and systems for tracking. Simultaneously, privacy regulations are tightening the rules around data collection and usage. This, coupled with the planned deprecation of third-party cookies and MAIDs has thrown marketers into a state of flux. The tools they had relied on for years were disappearing, and new solutions had yet to fully emerge. The multi-ID landscape was born, where brands had to navigate multiple identity systems across different platforms, devices, and environments. Retail media networks became another significant player in the identity game. As large retailers like Amazon and Walmart built their own advertising ecosystems, they added yet another layer of first-party data to the mix. While these platforms offer robust insights into consumer behavior, they also operate within their own walled gardens, further fragmenting the identity landscape. With cookies and MAIDs being phased out, the industry began to experiment with alternatives like first-party data, contextual targeting, and new universal identity solutions. The challenge and opportunity for marketers lies in unifying these fragmented identity signals to create a consistent and actionable view of the customer. 2025: The omnichannel imperative Looking ahead to 2025 and beyond, the identity landscape will continue to evolve, but the focus remains the same: activating and measuring across an increasingly fragmented and complex media environment. Consumers now expect seamless, personalized experiences across every channel—from CTV to digital to mobile—and marketers need to keep up. The future of identity lies in interoperability, scale, and availability. Marketers need solutions that can connect the dots across different platforms and devices, allowing them to follow their customers through every stage of the journey. Identity must be actionable in real-time, allowing for personalization and relevance across every touchpoint, so that media can be measurable and attributable. Brands that succeed in 2025 and beyond will be those that invest in scalable, omnichannel identity solutions. They’ll need to embrace privacy-friendly approaches like first-party data, while also ensuring their systems can adapt to an ever-changing landscape. Adapting to the future of identity The evolution of identity has been marked by increasing complexity, but also by growing opportunity. As marketers adapt to a world without third-party cookies and MAIDs, the need for unified identity solutions has never been more urgent. Brands that can navigate the multi-ID landscape will unlock new levels of efficiency and personalization, while those that fail to adapt risk falling behind. The path forward is clear: invest in identity solutions that bridge the gaps between devices, platforms, and channels, providing a full view of the customer. The future of marketing belongs to those who can manage identity in a fragmented world—and those who can’t will struggle to stay relevant. 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