Consumers engage with content and advertisements across various devices and platforms, making an identity framework essential for establishing effective connections. An identity framework allows businesses to identify consumers across multiple touchpoints, including the relationships among households, individuals, and their devices. Combined with a robust data framework, businesses can understand the relationship between households, individuals, and marketing attributes. Consequently, businesses can tailor and deliver personalized experiences based on individual preferences, ensuring seamless consumer interactions across their devices.
We spoke with industry leaders from Audigent, Choreograph, Goodway Group, MiQ, Snowflake, and others to gather insights on how innovations in data and identity are creating stronger consumer connections. Here are five key considerations for advertisers.
1. Embrace a multi-ID strategy
Relying on a single identity solution limits reach and adaptability. Recent data shows that both marketers and agencies are adopting multiple identity solutions. By embracing a multi-ID strategy with solutions like Unified I.D. 2.0 (UID2) and ID5, brands can build a resilient audience targeting and measurement foundation, ensuring campaigns remain effective as identity options evolve across channels.
A diversified identity approach ensures that advertisers are not left vulnerable to shifts in technology or policy. By utilizing multiple ID solutions, brands can maintain consistent reach and engagement across various platforms and devices, maximizing their campaign effectiveness.
“I don’t think it will ever be about finding that one winner…it’s going to be about finding the strengths and weaknesses and what solutions drive the best results for us.”
Stephani Estes, GroupM
2. Utilize AI and machine learning to enhance identity graphs
Identity graphs help marketers understand the connections between households, individuals, their identifiers, and devices. This understanding of customer identity ensures accurate targeting and measurement over time. AI and machine learning have become essential in making accurate inferences from less precise signals. These technologies strengthen the accuracy of probabilistic matches, allowing brands to understand consumer behavior more effectively even when data fidelity is lower.
Adopting a signal-agnostic approach and utilizing various ID providers enhances the ability to view consumers’ movements across platforms. This strategy moves measurement beyond isolated channels, providing a holistic understanding of campaign effectiveness and how different formats contribute to overall performance. By integrating AI and machine learning into identity graphs, advertisers can develop more cohesive and effective marketing strategies that guide customers seamlessly through their buying journey.
“What we’re finding is more and more identity providers are using Gen AI to locate connections of devices to an individual or household that maybe an identity graph would not identify.”
David Wells, Snowflake
3. Balance privacy with precision using AI
AI-driven probabilistic targeting and identity mapping provide effective solutions for privacy-focused advertising. Rather than relying on extensive personal data like cookies, AI can use limited, non-specific information to predict audience preferences accurately. This approach allows advertisers to reach their target audience while respecting privacy—a crucial balance as the industry shifts away from traditional tracking methods.
According to eMarketer, generative AI can further enhance audience segmentation through clustering algorithms and natural language processing. These tools enable more granular, privacy-compliant targeting, offering advertisers a pathway to reach audiences effectively without needing third-party cookies.
“I think the biggest opportunity for machine learning and AI is increasing the strength and accuracy of probabilistic matches. This allows us to preserve privacy by building models based on the features and patterns of the consumers we do know, instead of transmitting data across the ecosystem.”
Brian DeCicco, Choreograph
4. Activate real-time data for better engagement
Real-time data enrichment introduces dynamic audience insights into the bidding process, enabling advertisers to respond instantly to user actions and preferences. This agility empowers marketers to craft more relevant and impactful moments within each campaign.
“Real-time data enrichment–where data companies can have a real-time conversation with the bid stream–is an exciting part of the future, and I believe it will open the door to activating a wide variety of data sets.”
Drew Stein, Audigent
5. Create and deploy dynamic personas using AI
Generative AI transforms persona-building by providing advertisers with richer audience profiles for more precise targeting. This approach moves beyond traditional demographic categories, allowing for messaging that connects more meaningfully with each consumer.
By using generative AI to craft detailed personas, advertisers can move beyond generic messaging to create content that truly resonates on an individual level. This personalized approach captures attention and strengthens consumer relationships by addressing their specific needs and interests.
“One cool thing we’ve built recently is a Gen AI-based personas product that generates personas to create highly sophisticated targeting tactics for campaigns.”
Georgiana Haig, MiQ
Seize the future of data-driven engagement
Focusing on these five key innovations in data and identity allows you to adapt to the evolving media landscape and deliver personalized experiences to your audience.
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The concept of identity resolution has emerged over the years as a strategic imperative among marketers and technology vendors. A report by Forrester contends that accurately establishing and maintaining customer identity is one of the most perplexing challenges facing marketers today. Customers have footprints in the offline and online worlds and tend to seamlessly transition across various channels and devices – presenting a unique challenge to truly understand who they are. But the ability to stitch these disparate components of information together means marketers can make better decisions and have more meaningful interactions with their customers. And for customers, this means an experience with personalized advertising content more likely to resonate with them. Why should marketers prioritize identity? The ability to accurately identify customers is the most basic prerequisite for marketing analytics, orchestration and execution. As such, it is becoming increasingly important for brands and marketers planning to link together disparate systems of audience insights and engagement to foster a more seamless and personalized omnichannel customer experience. For example, if an advertiser can identify a customer’s interests, as well as how that person prefers to consume information, then the advertiser can create and deliver messaging that will resonate with the customer. However, like most competitive differentiators, the mission critical components to accurately determine an identity reside within the suite of identity management tools at the marketers’ disposal and the expertise required for proper execution – a struggle for most marketers. But when properly implemented, a comprehensive customer identity strategy can be among a brand or marketer’s most valuable and proprietary assets. Where to begin with identity resolution? With the convergence of CRM platform data, cross-channel online touchpoints, offline record linkage management, probabilistic cross-device graphs, and data onboarding—evolving from point solutions to unified platforms—marketers are faced with an increasingly complex set of challenges in addressing and solving for customer identity management. To properly implement from the get go, and to avoid having to bolt on disparate technologies down the road, emerging industry trends and success stories suggest marketers need a neutral technology service provider that can provide each of these solutions via a single, unified platform. A vendor that can build a solid identity management foundation comprised of omni-channel targeting and attribution, cross-device resolution, online-offline linkage management, and data onboarding form the nexus of a cohesive identity strategy, built to last. Experian helps connect consumer identity As a trusted name in data and information services for more than 40 years, we are committed to privacy by design and the responsible usage and security of data. Whether you’re a brand, agency, or publisher, Experian has the wide-ranging toolset to help you put people at the heart of your business and make better marketing decisions. By harnessing the power of the sum of these parts, fusing both offline and online identifiers and attributes, Experian has established a leadership position in identity management. If you’re ready to begin building your identity foundation, contact us and get started today! Learn more about why identity matters to marketers and consumers, here! Contact us today
Partnership Yields Increased Match and Connectivity Rate Through Tapad Graph, acquired by Experian March 27, 2018 — New York, N.Y. — Tapad, part of Experian, is reinventing personalization for the modern marketer and today announced the impactful results of its strategic partnership with Flashtalking, the leading global independent platform for ad delivery, unification and insights. Flashtalking is one of Tapad’s most engaged partners, using the Tapad Graph to unify cross-device engagement and identity-driven consumer behaviors for attribution modeling. The company leverages a unique identifier that, in conjunction with Tapad’s Graph, provides robust multi-touch attribution solution for its clients. This partnership has resulted in above-industry match and bridge rates for Flashtalking and its customers. Overall, the Tapad Graph yielded a 71 percent match rate with 41 percent of converters engaging on multiple devices, highlighting the importance of cross-device measurement. Tapad’s identity solutions provide Flashtalking with a more holistic view of global engagement. Flashtalking marries ad server log file data with the Tapad Graph to connect all interactions in the consumer journey. This enables Flashtalking to provide more accurate and impactful cross-device attribution, which ultimately enables better optimization. These achievements have led to recognition of Tapad and Flashtalking’s work by the I-COM Global Forum for Marketing, Data and Measurement. “Tapad allows us to understand user engagement across devices and platforms at both the household or individual user level, which is extremely beneficial when providing marketers with true path to conversion and attribution,” said Steve Latham, global head of analytics at Flashtalking. “Since our relationship began, we’ve successfully leveraged Tapad data to provide more accurate, actionable insights that have helped numerous brands achieve substantial gains in media effectiveness.” Flashtalking client Michael Lamontagne, SVP of analytics and CRM at 22squared says “We are big believers in using cross-device insights to improve our campaigns. Flashtalking has been a strategic partner in the pursuit of that goal. By incorporating the Tapad Graph, Flashtalking delivers powerful insights into user engagement and media attribution across browsers and devices. Of equal importance, their bundled solution makes it easy and efficient, saving our team countless hours of busy work.” Contact us today
The Tapad Device Graph™ Complements Freckle’s IoT Capabilities to Extend Scale and Precision of Audience Data New York, NY — December 6, 2017 — Tapad, part of Experian, is the leader in cross-device marketing technology and Freckle IoT, the global leader in multi-touch, offline attribution, today announced they are partnering to provide brands with a holistic and insightful view of their customers, in predefined locations in all global markets. Starting today Freckle IoT will be leveraging the Tapad Device Graph™ to supplement the company’s data set to offer brands more granular attribution data. Consumer’s online behavior is becoming more and more complex, with the average consumer owning three or more devices and 35 percent of consumers converting on a different device from the one on which they started their research. These interactions become even more complicated when considering how online interactions and media impact offline sales. The collaboration between Tapad and Freckle, which combines Freckle IoT’s persistent location data with Tapad’s proprietary cross-device technology, is an important step in empowering brands with the information they need to better understand how digital media, consumed across multiple devices, is impacting offline attribution. Using its opt-in, first-party data, Freckle IoT helps brands measure the effectiveness of their advertising by independently matching media spend to in-store visits. Tapad’s technology extends Freckle’s data-set by allowing brands to access additional deterministic and probabilistic data, at scale and across all devices, to analyze consumer behavior ahead of in-store purchase. “Combining our technology with Tapad’s identity-driven solutions was a natural fit for our business,” said Neil Sweeney, founder and CEO at Freckle IoT. “With our unbiased, agnostic measurement and Tapad’s precise and privacy-safe data set, we knew this partnership would be a strong complement to providing more effective results for the needs of our brand partners.” For more information on Freckle IoT’s measurement offerings, please visit www.freckleiot.com. Contact us today