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Five considerations for the future of innovation in data and identity

Published: November 21, 2024 by Experian Marketing Services

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.


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Navigating a cookieless future: Supply-side think tank recap

A few weeks ago, Experian and OpenX hosted a supply-side think tank at our New York City office. Over 70 industry leaders met to talk about targeting in a cookieless future and how we can reach consumers in intentional ways.  Publishers and supply-side partners shared what challenges they face, what solutions they’re considering, and what the future holds once the third-party cookie begins to deprecate in 2024. In this blog post, we’ll cover the top challenges, cookieless solutions, and actionable strategies we discussed at the event that can help publishers, their partners, and agencies make informed decisions about how to navigate tomorrow’s digital ecosystem.  Four main challenges  Four main challenges were discussed at the event:  First-party data monetization  Publishers possess a wealth of first-party data, but collecting and centralizing this information can be difficult for actionable insights. 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Participants discussed the need to find alternative ways to gather and use personal data responsibly. It’s time to start evaluating data partners who have accurate, multi-source compiled, privacy-compliant data with the dedication to reach and recency. Fragmentation and scale with alternative IDs currently in the market  The multitude of alternative identifiers in the market poses a challenge for publishers. Each of these identifiers comes with its own set of rules and integration processes, leading to fragmentation and complexity. Publishers must find ways to navigate this landscape. Look to ID agnostic partners who provide a way to access multiple IDs at scale.   “The industry needs a more streamlined standard to integrate alternative IDs, given the ongoing challenges of third-party cookie deprecation, measurement, and clean rooms. This burden falls heavily on product and engineering teams, who must prioritize and address these issues one at a time.” Ryan Boh, Head of Identity, Lockr Time  Cookie deprecation is almost here. It is crucial to organize your legal, engineering, and product resources, and align internal go-to-market strategies. Establish partnerships that work with your team to follow these timelines and help build phased or cohesive strategies to prepare for a path to monetization. It is imperative to establish a sense of urgency and not wait for others to take the lead. Start testing now to determine if your infrastructure is ready and capable. Many partners who attended the think tank offered insights on how they’ve been tackling challenges to help their industry peers. 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We will be sharing our findings and future plans in this space in the coming months.”Budi Tanzi, VP, Product, Experian Facilitate a knowledge exchange  Reach out to your network to find out what others are testing and what’s working. Start collaborating with agencies and brands across the buy-side to meet their needs.  “The collaborative spirit displayed by our partners constantly inspires me. Listening to the obstacles our industry faces allows this community to build strong relationships, create action plans, and deliver true value.”Carly Allcorn, Account Executive, Publisher & Supply-Side Partnerships, Experian Invest in an identity graph  Invest in an identity graph provider to sync first-party cookies and addressable IDs. 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Experian’s Graph adds support for Unified I.D. 2.0 (UID2)

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Nov 09,2023 by Dylan Rothenberg

Three steps to maximize your data collaboration strategies for 2023 and 2024

In this article…How data collaboration is evolving from 2023 to 2024How to create efficient data collaboration strategies We live in a data-driven world, and businesses need effective data collaboration strategies to remain successful. Before you determine your 2023 and 2024 data collaboration options, it’s essential to understand what data collaboration is. In short, it involves sharing and combining data from multiple sources to better understand a customer base and make informed marketing decisions. Read on to learn more about our three-step plan to create new data collaboration strategies, how it’s evolving, and what we do to ensure our solutions help maintain your company’s data privacy. How data collaboration is evolving from 2023 to 2024 Data collaboration strategies continually evolve thanks to changing industry dynamics and new technologies. 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Maximize the value of your data One of the most important reasons to gather data is to discover in-depth insights into your audience and the effectiveness of your marketing efforts. You’ll be able to identify hidden patterns and pinpoint trends you may not have noticed before. With this information, you can make more strategic marketing decisions to stay competitive in your industry. Resolve digital identities Collaborating on data with trusted partners can help you gain a more complete view of your customers by building comprehensive digital profiles. Resolving digital identities can provide greater insight into online and offline behavior of individual consumers, allowing you to better connect with your target audience and boost brand loyalty. Find an alternative to third-party cookies Digital privacy regulations are getting more strict, which is why it’s so important to find more secure alternatives to third-party cookies. By collaborating on data, you can gather essential insights without relying on cookies. This means you’ll still get the information you want while complying with privacy regulations. Choose the right collaboration partner Before you choose a data collaboration partner, it’s essential to ensure their privacy standards align with yours. How do they collect data and use it ethically and responsibly? At Experian, we are dedicated to protecting consumers and delivering responsible and transparent data practices. We focus on five Global Data Principles — security, accuracy, fairness, transparency, and inclusion — to ensure we treat data carefully and respectfully while boosting economic growth and resilience in the marketing environment. When you partner with us for data collaboration, you can trust that your data is protected in a system built for 2023 data collaboration needs — both known and unknown — while still evolving for 2024 and beyond. Choose a secure environment for collaboration Data collaboration security is vital to safeguard your business and consumers’ information. You can make sure your new data collaboration options are protected in several ways. We’ve outlined three options below. Collaboration in clean rooms Clean rooms are secure, private environments where data is shared and analyzed without exposing the underlying raw data. This ensures that sensitive information remains protected and insights are discovered securely. Experian has vetted clean room partners if this is an option you prefer while still getting industry-leading identity resolution. Collaboration directly Collaborating directly with your partner can be a good option if you have robust security measures. Encryption, access controls, and regular audits are essential to maintain data security in direct collaborations. Collaboration with Experian We excel at meeting our clients where they are and accommodating their technical capabilities and how they manage their data. We offer a secure and compliant environment for data collaboration. Our data collaboration solutions are designed to protect your data while enabling deeper insights. At Experian, we understand the importance of data privacy, and our platform reflects our commitment to safeguarding your information. Enable deeper insights and activation with Experian’s data collaboration solution Data collaboration is crucial in today’s business world, and Experian’s solutions are designed to help you bring together your 2023 and 2024 data collaboration strategies securely and efficiently. With Experian, you can unlock deeper insights, resolve digital identities, and confidently navigate the evolving data privacy landscape. If you’re looking for the right partner to enhance data collaboration to drive growth and innovation in your business, you’ll find a secure environment and the right partner with Experian. Contact us today to get started. Contact us Latest posts

Oct 17,2023 by Experian Marketing Services

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