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.
Contact us
Latest posts
Cookies are leaving us, but that doesn’t have to mean performance has to. That’s why Experian is taking the steps needed to future-proof identity in our Graph, including adding Unified ID 2.0 (UID2) from The Trade Desk. Experian currently supports UID2 in our Graph outputs for demand-side platforms (DSPs). UID2 support in our Graph outputs will be available to all approved partners by December 2023. In this blog post, we talk about why cookieless IDs, like UID2, that are coming to market because of cookie deprecation, are important, and how incorporating cookieless IDs into an identity graph can help you prepare for a cookieless future. What are cookieless IDs? Like cookies, cookieless IDs provide you with a comprehensive view of a consumer’s digital activity. Unlike cookies, identity providers produce cookieless IDs, using user-consented data and deterministic and probabilistic data signals (like hashed emails or mobile ad IDs). Cookieless IDs are a newer identifier that allows the advertising industry to maintain our understanding of consumers’ digital actions, helping to ensure we continue to generate smart, data-driven insights, targets, activation strategies, personalized experiences, and measurement and attribution. Why should you incorporate cookieless IDs into an identity graph? Adding cookieless IDs to an identity graph allows for licensees of the graph to: Resolve the universal ID to a consolidated consumer profile and know which other digital IDs tie to the cookieless ID Establish a unified view of the consumer with a privacy-compliant ID Produce data-driven and informed advertising strategies that still drive results, without the use of cookies Experian’s Graph Experian’s Graph is one of the most robust and signal agnostic identity graphs in the market. Experian’s Graph supports most digital IDs, including cookieless IDs, such as ID5, UID2, and Hadron ID. When you license Experian’s Graph, you increase your ability to better understand the different digital IDs that tie to a household or individual. Additionally, with our cookieless ID support, you can continue to understand your consumer and their digital IDs in the cookieless world. Why is it crucial to include UID2 support in Experian's Graph outputs? The Trade Desk is the largest, independent demand-side platform. They’ve created a cookieless ID, UID2, that they hope can power the advertising world to come across the open web. UID2 is an alternative solution to third-party cookies that when utilized in an identity graph, can offer a clearer picture of your consumer, enabling frequency controls and better management, across both digital and connected TV (CTV). Approved DSPs can add UID2s to their Experian Graph, giving them access to one of the more trusted and prominent cookieless IDs in the market today. Additionally, DSPs can use this identifier to decide whether to bid on certain inventory or not, on behalf of their advertiser partner. And, if we hedge our bets, it will only grow in prominence and use. While only available to approved DSPs today for use in the Experian Graph, the forthcoming encrypted UID2 token will provide this capability to the entire ecosystem, which allows us all to speak the same language and operate as efficiently as possible. "We are excited to support UID2, one of the premier IDs to support the future of addressability across the open internet, in the Experian Graph. We continue to see the adoption of UID2 across the demand-side ecosystem, increasing addressability across growing channels like CTV and beyond. I am personally excited to see how this momentum continues to increase over the remainder of 2023 and into 2024."chris feo, svp, sales & partnerships, experian Future-proof your identity strategy with Experian Graph and UID2 We’ve seen the impact that cookies have had on digital advertising and marketing. With the impending third-party cookie deprecation, you will need to adopt alternative cookieless ID solutions such as Unified ID 2.0. Experian is well-positioned to help you navigate this change, offering UID2 support in our Graph outputs for all approved partners by December 2023. Take the right steps now to future-proof your identity strategy and discover lasting success even without cookies. Alongside Experian’s Graph solution, you can achieve resilience in an ever-changing world of digital marketing and advertising. Now is the time to get ready for a cookieless future. Connect with an Experian team member to learn more about our Graph capabilities today. Learn more about Experian's Graph today Latest posts
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. As we move from 2023 to 2024, we’ll likely see collaboration extending outside businesses, meaning data can be shared with external partnerships in the form of a data ecosystem. A data ecosystem is a platform that combines numerous information points, including packages, algorithms, and cloud-computing services, to allow businesses to store, analyze, and use the data they’ve collected. To ensure you’re ready for 2024 data collaboration, you’ll need to take a forward-thinking approach toward new data strategies. How to create efficient data collaboration strategies Here are our three steps for efficient collaboration to make the most of 2023 data collaboration and prepare for 2024. Identify your collaboration goal What are you hoping to gain from data collaboration? Do you understand the audience you’re trying to target and what you want regarding outcomes? To measure your success, you should set short- and long-term goals surrounding data collaboration in 2023 and 2024. 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
We are excited to announce that we’ve updated our CAPE data with 2020 Census data. This release updates estimates and projections from 2010 and replaces all previous CAPE data attributes. U.S. Census data offers a great opportunity for data enrichment The U.S. Census is conducted every 10 years to determine the number of people living in the U.S. in addition to collecting data on dozens of topics across 130+ surveys and programs. U.S. Census data is already broken out into regional groups and covers 100k+ different geographies: States, counties, places, tribal areas, zip codes, and congressional districts. Block groups are the smallest geographic area for which the Bureau of the Census collects and tabulates data. They are formed by streets, roads, railroads, streams, other bodies of water, and other visible physical and cultural features. What is CAPE? Census Area Projections & Estimates data (CAPE) data from Experian utilizes a proprietary methodology to make the data easy to action on for marketing use cases. Made from U.S Census and Experian consumer data, CAPE data sets are developed at the block group and zip code level and targetable at the household level. CAPE 2020 updates CAPE 2020 uses the 2020 Census data blended with other Experian data to update CAPE’s unique attributes for data enrichment and licensing. Multiple sources are used and data is delivered at a block group level or zip code. Experian provides unique CAPE attributes not available through other sources that provide Census data. These include our Ratio and Percentages attributes, Score Factors/Segments, and Mosaic. CAPE 2020 use cases Our CAPE 2020 data sets enable strategic marketing analysis and decision-making. You can use CAPE 2020 data to understand the differences in the markets you serve as they relate to core demographics, housing attributes, education, income, employment, spending, and more. You can do this to: Find populations that are not typically captured in standard demographics. Cross-reference Census demographics data with other behavioral and shopper data. Understand supply and demand for products sold. Get started with our CAPE 2020 data today If you are using Experian’s CAPE 2010 data, please work with your Experian representative to migrate to CAPE 2020. If you are interested in learning more about our CAPE data, get in touch with us today. Latest posts