
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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Advertising today is more complex than ever. Consumers demand personalized, relevant experiences from brands, making it increasingly challenging to meet expectations without external support. Businesses must work with publishers, retailers, and platforms to thrive, using these partnerships for data insights that refine their strategies and fuel growth. We spoke with industry leaders from Ampersand, AppsFlyer, Audigent, Comcast Advertising, Fox, ID5, and Snowflake to gather insights on how strategic collaboration can expand audience reach, improve targeting precision, and drive measurable advertising success. 1. Expand your reach with strategic collaborations Gone are the days when brands relied solely on third-party data. By linking their first-party insights with equally valuable data from partners, brands develop a far more comprehensive understanding of their audiences. This collaborative approach creates richer audience profiles, improves targeting, and enhances campaign performance. Partnerships also create opportunities for operational efficiencies. For instance, brands that share data and expertise with collaborators can expand their audience reach without overhauling existing systems. These collaborations allow marketers to work smarter, turning shared knowledge into strategic wins. \”Partnerships are everything. We can\’t fulfill our goals on the sale side, marketers can\’t fulfill their goals of finding their audience where they need to reach them and with the right level of outcomes without partnering together. Why? Because each of them has their own line of sight to the data that they have access to and the data that they know best.\”Justin Rosen, Ampersand 2. Identify the right partnership model Choosing the right partnership model is key to achieving your business objectives. For some, pairing first-party data with publishers\’ insights creates better targeting. For others, aligning with complementary brands allows them to engage shared audiences. For large-scale efforts, agencies can unify collaboration frameworks, making onboarding and activation seamless. Meanwhile, emerging categories like FinTech, hospitality, and commerce media provide brands new avenues for impactful partnerships. Evaluating these options thoroughly will ensure your collaboration aligns with long-term marketing goals. \”With first-party data being really the central point of signal today, we see more and more of our advertisers identifying partnerships with maybe potentially historical competitors or partners they would\’ve never considered.\”Tami Harrigan, AppsFlyer 3. Utilize the power of pooled insights Combining various data sources, like CRM records, browsing behavior, and shopping receipts, creates an in-depth view of your customers. By understanding what motivates consumers at every stage of their journey, brands can better tailor messaging and funnel marketing spend to where it matters most. This approach also enables data-driven agility. Real-time insights help brands make informed adjustments, whether it’s shifting strategies mid-campaign or identifying new growth opportunities. When brands share data responsibly, the results are campaigns that resonate and deliver measurable improvements. \”A lot of advertisers have gotten smarter about their data than they were just two, three years ago. They’re now doing that segmentation on their side with their data and bringing that to Fox and saying, ‘Look, match this segment against your entire user base.’ In order to do that, we can work with providers like Experian, or with data clean rooms to really bring that data and do a direct match without going through a third party.\”Darren Sherriff, Fox 4. Adopt the right tools and technology The right tools empower a collaborative data ecosystem. Solutions like data clean rooms ensure privacy-first data matching and measurement. Identity frameworks, such as Unified ID 2.0 (UID2) or ID5, enable secure data alignment across platforms, simplifying audience targeting while safeguarding sensitive information. Shared dashboards are another crucial tool, providing all collaborators with clear, co-owned performance metrics. Yet, while technology is an enabler, success ultimately depends on how well tools align with each partner’s goals and build trust within the collaboration. “You have to make it accessible to non-technical personas and you have to have the ability to have it stood up and pay dividends in a short amount of time. The other thing is interoperability. We very much think as an industry we need to have interoperability with clean rooms, ones that operate on different frameworks.” David Wells, Snowflake 5. 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RampUp 2025 brought together some of the smartest minds in AdTech to talk about the future of our industry. I had the opportunity to ask attendees key questions about AI, data collaboration, and the challenges they wish they could solve instantly. Here’s what they had to say. Watch my interviews here AI is everywhere in ads—How is it changing things? AI’s influence on advertising is undeniable, and industry leaders at RampUp 2025 emphasized how it is transforming the way data is used across marketing workflows. The increasing presence of Generative AI like ChatGPT is making it easier to stitch together data from various sources and act on insights, helping marketers execute campaigns with more efficiency. AI is no longer just about automation; it is now deeply embedded in audience building, personalization, and measurement, enabling marketers to optimize every step of the customer journey. What’s the one AdTech headache you’d fix forever? 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Interoperability has become a top priority, with brands, platforms, and data providers focused on ensuring seamless connectivity across clean rooms, customer data platforms (CDPs), and activation partners. The days of being locked into a single walled garden are over—the future is about data portability. \”RampUp made it clear that the industry is shifting toward curated, interoperable, and always-on identity solutions—and Experian is perfectly positioned to lead this next phase of growth.\”Suzanna Stevens, Sr. Enterprise Partnerships Manager This shift is also driving changes in how brands manage identity. Rather than relying on one-off data onboarding, companies are increasingly adopting subscription-based identity solutions that provide an always-on, continuously refreshed identity graph. This model ensures that brands have up-to-date customer profiles while reducing inefficiencies associated with batch processing. What privacy regulations should marketers be watching? 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Originally appeared in AdExchanger Navigating the world of data and identity partners feels like scrolling through a dating app: a sea of options, but only a select few worth swiping right. To find your perfect match, look for a partner who ticks all the right boxes. Here’s your guide to finding your perfect match. 1. Identity resolution: It all starts with a strong foundation Great identity resolution depends on a rock-solid foundation. The best partners rely on offline data—like names, addresses, and emails—that rarely change, ensuring a consistent view of households, individuals, and their devices over time. You want someone who gives you the same understanding of your audience across every stage of a campaign. 2. In search of: A well-rounded, reliable identity partner When evaluating identity graphs, it’s essential to distinguish between digital-only graphs, offline graphs, and those rare gems who combine both. 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Authentic origins: Is their data genuine or just a catfish? Look into your partner’s data sources and place a premium on those with public records or direct to consumer relationships. Ask if they have the experience and expertise when it comes to all aspects of data processing from accuracy to privacy and security. Look for some clear third-party indicators for accuracy, like ratings from Truthset, but there is also a basic reality: either your partner is focused on privacy and accuracy, or they are just playing the scale game. Swipe left on those playing games. 5. The breadth to impress Depth matters as much as quality. Seek a partner with wide-ranging attributes that span key audience categories like demographics, interests, and purchase behavior. They should offer the flexibility to deliver both granular data scores and broad audience segments, empowering you to reach the right consumers across channels effectively. 6. The total package: Does your partner really have it all? 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