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
It’s no secret that the COVID-19 Delta variant is threatening holiday plans across the country. As CDC mandates change and the flu season matures, we’re asking big questions that impact businesses and marketers across the country: Will customers mostly stay at home and order online? Or will people drive to the store and fly to family gatherings? The answer is probably both—but, as we’ve learned, a lot can change overnight. And we want to be prepared this time around. While many of us make vacation plans with a “wait and see” attitude, we want firmer footing at work. To cope with uncertainty, holiday marketing strategies straddle assumptions and require agility. To protect some of the biggest campaigns of the year, marketers need the ability to: Monitor changing customer behaviors during flu season. Track marketing KPIs for campaign performance and quick adaptability. Pivot audience targeting strategy when safety guidelines change. We built Discovery Platform to give you all three so that you can execute your marketing strategy with confidence. Discovery is built on top of robust consumer data and the best-in-class Identity graph that Experian is known for. It offers turn-key activation capability to keep your marketing campaigns agile and efficient this holiday season. Here’s how you can use Discovery Platform to protect your marketing interests from rapidly changing safety guidelines. Track store traffic against competitors Discovery Platform enables Experian clients to keep a tap on their store traffic and relate it to how competitors and overall business category is doing. Monitoring these trends can help marketers adapt to changing consumer behaviors as flu season evolves. Track marketing KPIs Tracking and adjusting ongoing campaign targeting strategy remains a top priority throughout the pandemic, especially during colder, winter months. Discovery enables you to evaluate your campaign targeting strategy in relation with your loyalty card shoppers and in-flight campaign KPIs to drive higher return on ad spend and Customer Lifetime Value. With Discovery’s OmniImpact integration clients can even conduct control test measurement studies. Pivot campaigns quickly You can use Discovery’s Audience Engine integration to build and deploy custom audiences to social, digital, email and Connected TV partners. This gives you the ability to quickly pivot campaign channels once you detect changes in consumer behavior or dips in campaign performance. The sales and customer data flowing into Discovery Platform puts all the insights you need in one place to inform your team’s next marketing strategy. Watch our Discovery Platform demo or contact us to learn how Experian can help you create more effective, agile marketing campaigns for the holidays.
Email hashing was originally intended to be used as an email security feature that has ended up being a very powerful marketing tool. A hashed email is a cryptographic function that changes an email address to a random code which can be used as an anonymous customer identifier. This code is privacy-safe and cannot be traced back to the customer’s email address. However, this hashed email can function like a digital passport that traces every behavior and action a customer takes when logged into an account that is authenticated with an email, making hashed emails a goldmine for customer data. Today emails are used across traditional publishers and within the CTV ecosystem; tying them to more consumer touch points than ever before. Why the emphasis now? Cookies are on their way out the door and have been the primary way that many marketers have tracked their existing and potential customers. In order to replace this granular level of data, marketers are likely going to need multiple solutions. With so many cookieless solutions and IDs appearing in the marketplace, the mapping of the customer journey is bound to be fragmented. Relying on first-party data, such as hashed email, is just one way to reduce that fragmentation; as it can serve as an authenticated starting point for cross-device identity resolution that can be leveraged for targeting, personalization and measurement. How can Tapad + Experian help? Tapad + Experian's Hashed Email Onboarding is a privacy-safe way to connect consumer email addresses to their related digital devices and other digital identifiers through high precision probabilistic identity. By onboarding hashed emails and incorporating them within your Tapad Graph file you can: Build a more holistic view of individuals and households and their relationship to email addresses in your first-party data set Leverage these relationships for increased cross-device scale for targeting Employ personalization tactics at the household or individual level across devices Create new audience segments and look-alike models for cross-channel activation Design more inclusive measurement and attribution for customer journey mapping Tapad, a part of Experian has built a hashed email onboarding product feature that works with the existing flexibility of The Tapad Graph to deliver the most holistic consumer view, combined with the attributes you need, in the structure that works best for your business objectives. Get started with The Tapad Graph For personalized consultation on the value and benefits of The Tapad Graph for your business, email Sales@tapad.com today!
The result of epic shifts from traditional cable to streaming television, the CTV ecosystem is experiencing compounded fragmentation, making it challenging for marketers to leverage in the most effective way for both activation and measurement. Heralded as the hot new household level device for highly engaged viewers, CTV brings massive opportunities for brands to move users down the funnel and incorporate CTV into their attribution modeling post-campaign. Leveraging CTV IDs within a cross-device identity resolution strategy can yield big benefits if you know how to do it right. Check out our breakdown of today’s CTV landscape to help you better understand how and what you can leverage for activation and measurement in the streaming-verse today. CTV Ecosystems as identifiers (for illustrative purposes only) This is just a small peak at the players and complexities of CTV IDs available for marketers today, but it illustrates the need to understand what IDs can benefit your strategies and where you can use them. Addressability and attribution Not all CTV devices and IDs are addressable; or have ad slots for biddable inventory for advertisers. For example, Apple TV devices and Apple TV + are not ad supported, but could still appear within an identity graph for measurement purposes; helping understand customer behavior and habits, which can inform marketing strategies. Having a household to individual view that's as inclusive as possible can provide valuable insights. CTV identity strategy Whether or not CTV devices or apps are addressable for advertisers, they can bring immense value when leveraged as part of a holistic identity resolution strategy. As a household level device with user authentication it can provide marketers a top-down view; unlocking household:individual targeting opportunities and unification of IDs at both levels for frequency management and customer journey mapping Get started with us Tapad, part of Experian, offers CTV ID onboarding and extension to our CTV ID Universe as a part of The Tapad Graph suite of products. To learn more about how The Tapad Graph can support your business objectives through future-proof identity resolution visit Tapad.com or email sales@tapad.com to connect with a representative today.