Loading...

Five considerations for the future of innovation in data and identity

by Experian Marketing Services 4 min read November 21, 2024

Insights from industry leaders on the future of innovation in data and identity

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.


Latest posts

Loading…
Verizon to close email service: 5 steps to keep valuable email subscribers

Five steps to keep valuable email subscribers in response to Verizon’s email service deactivation.

Published: Mar 30, 2017 by

Tricky triggers: Understanding shopping cart abandonment compliance

Ensure you understand privacy compliance pitfalls with special attention on shopping cart abandonment emails.

Published: Mar 20, 2017 by Experian Marketing Services

Signal and Tapad, now part of Experian, partner to expand customer reach across devices

Partnership combines customer connections and cross-device scale to deliver more strategic customer insights NEW YORK AND CHICAGO — March 16, 2017 — Signal, the global leader in customer identity, today announced a partnership with Tapad, now part of Experian and the leading provider of unified, cross-screen marketing technology solutions. This global integration extends device connectivity for Signal’s clients across North America, APAC and EMEA by leveraging Tapad’s proprietary Device GraphTM. With Signal’s Customer Identity Solution, brands benefit from more visibility of known customers, lower costs to reach those customers and decreased expenses and data loss that often results from using multiple vendors. Integrating with Tapad’s Device Graph, which connects billions of devices, enables Signal clients to build an even broader view of their known customers across multiple devices. This integration combines Signal’s customer identity scale with Tapad’s device scale to expand the reach of addressable media channels and enhance customer journey insights across touchpoints. Tapad and Signal were able to drive incremental device connections for more than 65 percent of customer profiles, linking an average of 6.8 browsers and devices per customer. With this combined data set, Signal clients can expand their authenticated view of a customer to all associated devices and realize more strategic insights into their high-value users. The partnership also allows Signal’s clients to integrate in real-time with Tapad’s media platform, Unify. This proprietary technology enables advertisers to make real-time activation and buying decisions with maximum scale, as well as automated reporting and measurement. “Continuously recognizing customers across devices instantly and in a privacy-safe way is essential for marketers to stay competitive,” said Marc Kiven, founder and CRO of Signal. “We are thrilled to enter this unique, global partnership with Tapad, enabling our clients to access their technology and more effectively reach customers in real-time and at scale.” “Being able to leverage a persistent view of customer connections across devices is a huge challenge for brands,” said Pierre Martensson, SVP and GM of Tapad’s global data division. “With Tapad, Signal is now able to connect with the billions of existing data points in our device graph to help clients better understand customer behavior and realize even stronger customer engagement.” Contact us today

Published: Mar 16, 2017 by Experian Marketing Services

Subscribe to our newsletter

Enter your name and email for the latest updates

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

About Experian Marketing Services

At Experian Marketing Services, we use data and insights to help brands have more meaningful interactions with people. As leaders in the evolution of the advertising landscape, Experian Marketing Services can help you identify your customers and the right potential customers, uncover the most appropriate communication channels, develop messages that resonate, and measure the effectiveness of marketing activities and campaigns.

Visit our website

Subscribe to our newsletter

Stay up to date on the latest industry news and receive expert tips from our marketing experts.
Subscribe now!