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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Dextro clients to achieve increased accuracy in cross-device consumer measurement and engagement NEW YORK, Feb. 6, 2017 /PRNewswire/ — Dextro Analytics, a pure play analytics company that harnesses the power of human learning and artificial reasoning to drive more informed and effective consumer marketing, is partnering with Tapad, the leading provider of unified, cross-screen marketing technology solutions and now a part of Experian. The deal is effective immediately and the scope of the partnership covers North America. Additional terms were not disclosed. Leveraging Tapad's privacy-safe Device Graph™, Dextro Analytics will be able to significantly bolster its insight engine to decode complex customer journeys. Armed with more relevant, actionable insights, marketers can use Dextro's cross-screen, closed-loop measurement systems to reach and engage the right customer at the right time through the right channel. "Being able to accurately map consumer preferences, behaviors and journeys in a privacy-safe and unified way across devices is still one of the biggest pain points for marketers," said Ajith Govind, co-founder of Dextro Analytics. "At the same time, this partnership engages customers with the right message at the right time." "Detecting latent patterns and signals, and tracing backward- and forward-looking behavioral characteristics, are keys to sustaining a competitive advantage in a crowded space," said Manmit Shrimali, co-founder of Dextro Analytics. "With the proliferation of data and devices, connecting the dots is of paramount importance." "Dextro is solving some of the biggest challenges in analytics today," said Pierre Martensson, GM of Tapad's data division. "Our partners consistently see notable improvements in both budget allocation and device optimizations after integrating with the Tapad Device Graph, and I have every confidence that Dextro will be among them." For more information about Dextro Analytics' revolutionary approach to using human learning and artificial intelligence algorithms to solve business and analytical problems, please visit http://dextroanalytics.com/. For more information about Tapad's cross-platform advertising solutions, please visit https://www.experian.com/marketing/consumer-sync Contact us today!
NEW YORK & LOS ANGELES / BUSINESS WIRE / Jan. 30, 2017– Tapad, part of Experian, and Rubicon Project (NYSE: RUBI) announced today a new global partnership offering a unified, cross-device campaign delivery solution within an automated advertising marketplace. Tapad is the leading provider of unified, cross-screen marketing technology solutions and Rubicon Projectoperates one of the largest advertising marketplaces in the world. The Tapad Device Graph™, which enables buyers to expand their high-value display data signals to associated mobile devices, will be integrated across Rubicon Project’s leading advertising exchange and Orders platform, significantly improving consumer mobile reach. The new global partnership will empower Buyers within Rubicon Project’s exchange to find and engage audiences across their entire digital experience. Rubicon Project operates one of the world’s largest mobile exchanges connecting to approximately 1 billion unique mobile devices globally. “We’re excited to partner with Tapad to continue to provide our customers the very best data for managing their advertising businesses,” said Harry Patz, Chief Revenue Officer, Rubicon Project. “Cross-device delivery is crucial for buyers today with more than 81% of internet users currently relying on more than one device for digital access[1]. Through our partnership, buyers will be able to extend their desktop private marketplace campaigns to mobile, allowing them to find and engage their audience across devices, anywhere in the world. The net result will also benefit sellers; the increase in mobile reach will better position publishers and app developers to strategically capitalize on their inventory, ultimately increasing bid rates and mobile revenue across the board.” “Our partnership with Rubicon Project marks the first time advertisers and publishers alike are able to use cross-device solutions at significant scale outside of Google and Facebook,” said Pierre Martensson, GM of Tapad’s Data Division and APAC. “Our Device Graph will help Rubicon Project’s advertisers make more informed buying decisions and find the audiences who matter most.” Barry Adams, VP of Commercial Development at Bidswitch, said, “As digital advertising moves away from desktop and increasingly toward a mobile-first model, cross device data becomes critical to finding consumers. The rich data buyers will now be able to leverage at scale through the Tapad and Rubicon Project integration will enable us to provide a state-of-the-art cross-screen solution for the 150+ buying platforms that use our service, and the tens of thousands of advertisers they represent.” For more information about Rubicon Project’s inventory, please visit www.rubiconproject.com. For more information about Tapad’s cross-platform advertising solutions, please visit https://www.experian.com/marketing/consumer-sync. Get started with us