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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At Experian, we understand the importance of audience targeting when it comes to crafting a successful marketing campaign. That's why we've invested in developing 2,400+ syndicated audiences, which span across multiple verticals and categories, including demographic, and lifestyle and interest data. We are excited to share a curated list of audience recommendations to support your campaign planning so you can confidently connect with your audience. What separates Experian’s syndicated audiences Readily available on-the-shelf for activation of most major ad platforms, including the Trade Desk, Cadent, Microsoft, and Yahoo. Our audiences span 15 data verticals and categories including demographics, auto, retail purchases, lifestyle and interests, financial, and travel. With our history in data management and participation in industry standards groups, we have the expertise to build audiences that are built for privacy and focused on accuracy. New audience segments to consider for Q4 campaign planning These new audiences, recently released on major platforms, offer unique opportunities to align your campaign planning with the latest consumer trends and behaviors. Here are four new Experian audiences to include in your Q4 campaign planning: Holiday Shoppers: Black Friday Holiday Travel – Budget Savvy Airline Geo-Indexed Audiences – Hybrid Vehicle 24-Month Future Car Buyers Seasonal audiences for Q4 Political audiences As the 2024 election approaches, moving beyond broad categorizations like “Democrat,” “Republican,” or “Independent” is crucial. Voters want candidates who align with their beliefs and values and Experian’s political personas offer a nuanced understanding of American voters to craft tailored engagement strategies. Experian has created 10 political personas to help better understand the American voter so you can reach consumers based on their viewpoints on key political issues. Additionally, over 200 politically relevant Experian audiences are available for activation on-the-shelf of the leading TV, demand, and supply platforms. Learn more here Holiday audiences This upcoming holiday season serves as the perfect opportunity to drive sales and build customer relationships. Experian has recently introduced 19 new audiences that can help you reach relevant shoppers across major ad platforms including TV and programmatic. By using Experian’s audiences in your holiday advertising campaigns, you can reach last-minute shoppers, discount-seeking shoppers, gift-givers, and holiday travelers. Just as shoppers seek the perfect gifts, your holiday advertising campaigns can capture the right shoppers this holiday season with the right strategy. Read our holiday audience guide now Our top 10 audience recommendations for Q4 Based on the top Experian audiences activated in Q4 of 2023, our top 10 list is designed to help agencies and media buyers plan data-driven advertising campaigns. Household income level 1) $100,000+: This segment contains consumers who are likely to have an estimated household income of $100,000+. 2) $75,000+: This segment contains consumers who are likely to have an estimated household income of $75,000+. Demographics 3) Ages: 25-54: This segment contains consumers who are likely to be aged 25-54. 4) Ages: 30-39: This segment contains consumers who are likely to be aged 30-39. 5) Ages: 35-39: This segment contains consumers who are likely to be aged 35-39. 6) Ages: 40-49: This segment contains consumers who are likely to be aged 40-49. Homeowners 7) Homeowner: This segment contains consumers who are likely to be homeowners. Military 8) Inactive: This segment contains consumers who are likely to be inactive military. Automotive 9) In-market for a small, mid-size SUV: This segment contains consumers who are likely to be in the market to buy a mid-size SUV in the next 180 days. 10) In-market for a full-size SUV: This segment contains consumers who are likely to be in the market to buy a full-size SUV in the next 180 days. You can find the complete audience segment name in the appendix. Activate the right audiences with Experian When you choose Experian’s syndicated audiences, you gain access to over 2,400 audiences that span across 15 verticals and categories. These audiences are directly available for activation on over 30 platforms and can be sent to over 200 media platforms. Experian is ranked #1 for data accuracy (as validated by Truthset), and Experian Marketing Data is the foundation for successful targeting, enrichment, and activation. For a full list of Experian’s syndicated audiences and activation destinations, download our syndicated audiences guide. Need a custom audience? Reach out to our audience team and we can help you build and activate an Experian audience on the platform of your choice. Connect with our audience team Appendix Here are the complete audience segment names (taxonomy paths) for all audience segments discussed in this blog post. New audiences Autos, Cars and Trucks > Near Market > 24-Month Future Car Buyers Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: Black Friday Autos, Cars and Trucks > Ownership – Geo-Indexed > Geo-Indexed Audiences –Hybrid Vehicle Retail Shoppers: Purchase Based > Seasonal > Holiday Budget Savvy Airline Travelers Household income level Demographics > Household Income (HHI) > $100,000+ Demographics > Household Income (HHI) > $75,000+ Demographics: Ages Demographics > Ages > 25-54 Demographics > Ages > 30-39 Demographics > Ages > 35-39 Demographics > Ages > 40-49 Homeowners Demographics > Homeowners/Renters > Homeowner Military Lifestyle and Interests (Affinity) > Occupation > Military – Inactive Automotive Autos, Cars and Trucks > In Market-Body Styles > Small Mid-Size SUV Autos, Cars and Trucks > In Market-Body Styles > Full-Size SUVs Latest posts
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After a six-month beta period, collaboration in Snowflake Data Clean Rooms using Experian's offline or digital graph is now generally available for all clients. As part of this, Experian is excited to announce that Experian's identity graph will be integrated into Snowflake's Data Clean Rooms. With the growing importance of data privacy and marketing efficiency, this partnership builds off of Experian's previously-announced integration into Snowflake's AI Data Cloud for Media. Adding Experian's identity graph to Snowflake Data Clean Rooms helps advertisers, advertising platforms, and measurement partners work more effectively. Built upon Experian’s rich offline and digital identity foundation, with support for various identifiers across platforms, collaboration in Snowflake Data Clean Rooms helps clients maximize the value of their data and meet the diverse needs of modern business: Collaborate with partners for richer data insights Achieve higher match rates Improve audience building Produce more accurate and complete reports Ensure data privacy Seamless integration of AdTech and MarTech platforms Regardless of the identifier type you are looking to collaborate on, Experian has the identity data in Snowflake Data Clean Rooms to support you and your partner. This leads to higher match rates and more resolved data for you to use to benefit your media initiatives. "Integrating Experian's identity graph into Snowflake Data Clean Rooms marks a transformative leap for digital marketing. This collaboration empowers advertisers, programmatic platforms, and measurement partners with unparalleled accuracy, privacy, and efficiency. Together, we are excited to provide innovative solutions to meet the evolving needs of our clients."Kamakshi Sivaramakrishnan, Head of Data Clean Rooms at Snowflake The Experian and Snowflake partnership showcases how collaboration can enhance scalability and cost-efficiency. Data clean rooms provide a secure environment where multiple parties can share, join, and analyze their data assets without leaving the clean room or exposing the underlying data. By integrating Experian's identity graph within Snowflake's secure platform businesses of all sizes can receive advanced data collaboration and identity tools without the high costs usually involved. The integration prioritizes consumer privacy and data security. Backed by Experian’s Global Data Principles, Experian's deep roots in data protection and security provide customers with the most trusted way to share data and protect consumer privacy. With Experian's graph in Snowflake Data Clean Rooms, customers will get a solution that respects customer consent, safeguards sensitive data, and ensures that processing occurs with the utmost respect for user confidentiality and preferences. Further, Snowflake Data Clean Rooms uses advanced methods to preserve privacy, such as differential privacy and secure computations on encrypted data, enabling data security and integrity. Together, these methods prevent unauthorized access by keeping sensitive data within the secure confines of the cleanroom on a strict, collaboration-to-collaboration basis. The collaboration between Experian and Snowflake significantly enhances data matching and identity resolution within the Snowflake Data Cleanroom. Experian’s identity solution uses digital identifiers like hashed emails, MAIDs, and CTV IDs and offline identifiers like name and address. This allows advertisers to reach more consumers and enrich their data. Marketers can easily use their first-party data in the cleanroom, and with Experian's Graph, they get higher match rates for more accurate targeting and campaign measurement. The continued partnership between Snowflake and Experian provide advertisers, platforms, and measurement providers a secure and effective way to collaborate. This sets the stage for continued innovation in programmatic advertising, ensuring that our solutions evolve in step with our clients' needs. If you're not utilizing clean rooms for collaboration but have advanced identity needs, you can license our Graph and seamlessly integrate it into your Snowflake account. Reach out to our team to learn more Latest posts