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The evolution of identity: A decade of transformation

Published: November 25, 2024 by Christopher Feo, Chief Business Officer

Identity in marketing: Past, present, and future

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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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Eric Shiffman, VP of Product Marketing at Yieldmo.  Here are five key takeaways from Eric’s insights: Tailored campaigns with Experian data: Yieldmo integrates Experian’s trusted identity and audience data to deliver creative campaigns tailored to specific audiences, ensuring more meaningful engagement.  Omnichannel activation made easy: Experian’s data marketplace helps Yieldmo expand its reach across display, mobile, and CTV, creating seamless cross-channel advertising strategies.  Advanced targeting and insights: The combination of Yieldmo’s attention signals and Experian’s identity solutions allows advertisers to pinpoint audiences with precision and confidence.  Driving results in key verticals: Retail, CPG, and automotive campaigns use Experian data on Yieldmo’s platform to achieve improved personalization, targeting accuracy, and measurable outcomes.  Scalable and privacy-conscious advertising: Yieldmo’s partnership with Experian ensures scalable solutions that balance advanced targeting with privacy-focused practices, benefiting advertisers across all industries.  About Yieldmo Yieldmo often describes itself as ‘the creative and media results company,’ using a predictive, provocative, and proven approach. Could you give us a brief overview of how this vision shaped the company and how you differentiate yourselves in ad tech?  Yieldmo was built on the belief that every ad experience should be as engaging and human centered as the content around it. By merging creative excellence with advanced technology and AI, we enable advertisers to deliver custom ad formats that spark emotion and inspire action. Our proprietary attention signals and predictive format selection allow brands to optimize for outcomes before impressions are served. This approach, combined with privacy-safe inventory curation, ensures that our solutions stand out in their ability to deliver both creativity and results.  Creative and inventory performance You’re known for delivering premium experiences across top-tier publishers. What strategies or innovations does Yieldmo employ to boost creative performance, increase engagement, and optimize inventory for your partners?  At Yieldmo, we emphasize the fusion of creative and media. We utilize predictive AI and a vast dataset to generate, customize, and match creatives with the right audiences and page contexts, enabling proven performance and learnings. On the supply side, we elevate publisher inventory by aligning high-quality ads with relevant content in innovative, non-intrusive creative formats. This dual focus ensures that every impression is primed for engagement, delivering tangible value to advertisers and optimal monetization for publishers.  Partnership with Experian As a partner of Experian, how do our identity and audience data complement Yieldmo’s platform, and why do you see this collaboration particularly beneficial for the broader advertising industry?  Experian’s robust identity and audience data ​strengthen Yieldmo’s ability to serve precisely tailored creative experiences. By integrating Experian’s insights with our proprietary attention signals and AI-driven predictive systems, we can ​optimize ​audience targeting and engagement strategies. This​ partnership represents​ the advancement of outcome​-driven advertising while giving brands the confidence of reaching the right consumers in meaningful ways.  Interest in Experian's data marketplace Experian recently introduced a new data marketplace aimed at simplifying data partner audience activation across display, mobile, and CTV. Which elements of this offering are most exciting from your perspective, and how do you anticipate it shaping Yieldmo’s solutions?  The unified approach of Experian’s data marketplace to streamline audience activation aligns seamlessly with Yieldmo’s vision of delivering data-driven creative optimization. The ability to activate comprehensive data sets across multiple channels​ expands​​ ​our omnichannel solutions, bringing precision and scalability to advertisers. Lately, we have focused resources on delivering thoughtful, cross-channel creative experiences, so aligning audiences to those is a logical extension.   Verticals using third-party data From your experience, which verticals or industries are most likely to activate third-party data campaigns on Yieldmo’s platform, and have you observed any emerging trends in how advertisers use data from Experian or other providers?  The retail,​ CPG, and automotive industries have been leading adopters of third-party data, using it to fine-tune targeting and personalize their messaging. Recently, we’ve noticed a shift toward bringing more post campaign measurement insights to the supply side–brand lift, foot traffic, conversion–for better optimization, whereas historically this valuable dataset was trapped in buy-side platforms.   Data utilization and success stories Could you share how Yieldmo’s data-driven approach has evolved and any standout success stories that highlight your platform’s impact and value to partners?  Yieldmo has always prioritized data to inform creative decisioning, from predictive ad placements to real-time optimization. In this award-winning Humane Society case study, we utilized media curation and predictive creative to drive a >170% CTR increase, 5x the campaign benchmark, leading to more page visits and donations.   Thanks for the interview. Any recommendations for our readers if they want to learn more? To learn more about our solutions and partnership opportunities, visit the Yieldmo website or contact your Experian account representative to schedule your free match test.  Contact us About our expert Eric Shiffman, Vice President of Product Marketing, Yieldmo Eric Shiffman is a product marketing leader with extensive experience in advertising technology. At Yieldmo, he drives strategies that blend AI, creative optimization, and privacy-conscious solutions to deliver measurable creative and media results. Eric ​translates​​ ​complex technologies into actionable messaging, positioning, and insights, and evangelizing products and solutions. His expertise spans creative optimization, data-driven advertising, CTV, and audience solutions.  Latest posts

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