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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Every day it seems, mobile device fragmentation increases. With consumers spending their time online across multiple devices – phones, tablets, over-the-top TV devices, gaming consoles, a nascent, yet growing internet-of-things, and a variety of other internet connected devices – the challenge of keeping up with consumers continues to be a daunting one. The industry has, of course, adopted many different identity solutions and cross-device technologies. Perhaps you’ve adopted some of them. Perhaps you feel like they are working. But perhaps you feel you could be doing a better job at connecting the dots. Marketers require solutions that can truly unify identities across channels and devices in order to understand consumer behavior, predict intent, and ultimately reach them with relevant communications. The easier it is to do that, the better. So, consider a couple scenarios and see how well are you doing. Within your core CRM data, are you able to connect your email subscribers to your in-store customers, all without relying on a loyalty program? Can you do this all the way down to an individual level? And are you leveraging this connected identity information to inform future online targeting? This kind of PII-based identity management is foundational to consumer engagement! Next scenario. Are you an app publisher? Or a media platform? Or any other type of organization that has a steady stream of device data? How much do you know about the consumer behind the device? Behavioral information is certainly a step in the right direction. But what about known consumer insights? How deep is the profile of information you’ve built for each device? Does it include both online and offline insights? Done in a compliant manner? There are a myriad of different techniques and approaches available to you to keep up with consumers. If you’re considering implementing a new strategy in the near future, or have questions about your current ones, contact Experian and we can help assess the opportunities available to you.
The Tapad Device Graph™ Complements Freckle’s IoT Capabilities to Extend Scale and Precision of Audience Data New York, NY — December 6, 2017 — Tapad, part of Experian, is the leader in cross-device marketing technology and Freckle IoT, the global leader in multi-touch, offline attribution, today announced they are partnering to provide brands with a holistic and insightful view of their customers, in predefined locations in all global markets. Starting today Freckle IoT will be leveraging the Tapad Device Graph™ to supplement the company’s data set to offer brands more granular attribution data. Consumer’s online behavior is becoming more and more complex, with the average consumer owning three or more devices and 35 percent of consumers converting on a different device from the one on which they started their research. These interactions become even more complicated when considering how online interactions and media impact offline sales. The collaboration between Tapad and Freckle, which combines Freckle IoT’s persistent location data with Tapad’s proprietary cross-device technology, is an important step in empowering brands with the information they need to better understand how digital media, consumed across multiple devices, is impacting offline attribution. Using its opt-in, first-party data, Freckle IoT helps brands measure the effectiveness of their advertising by independently matching media spend to in-store visits. Tapad’s technology extends Freckle’s data-set by allowing brands to access additional deterministic and probabilistic data, at scale and across all devices, to analyze consumer behavior ahead of in-store purchase. “Combining our technology with Tapad’s identity-driven solutions was a natural fit for our business,” said Neil Sweeney, founder and CEO at Freckle IoT. “With our unbiased, agnostic measurement and Tapad’s precise and privacy-safe data set, we knew this partnership would be a strong complement to providing more effective results for the needs of our brand partners.” “Freckle IoT is a valuable partner for Tapad as our cross-channel attribution capabilities continue to expand at global scale,” says Chris Feo, SVP, strategy and global partnership at Tapad. “Marketers today need a tool that can address the online and offline disconnect throughout the consumer journey. Freckle’s IoT innovations combined with the Tapad Device Graph help address this need by providing brands, across multiple verticals, accurate and precise identity-driven data powered by true consumer behavior — online and offline.” For more information about the Tapad Device Graph™, or to request a demonstration, contact us. For more information on Freckle IoT’s measurement offerings, please visit www.freckleiot.com.
London – 24 November, 2017 – Tapad, part of Experian, is the leader in cross-device marketing technology and continues to broaden its reach across EMEA. The business today reported a 20 percent growth in the scope of its regional device graph, a data set used by organisations to map consumers to their devices, enabling better, more personalised cross-device marketing. This news complements Tapad’s recent expansion of its UK team with the hire of experienced solutions engineer, Davide Rosamilia. As the demand for cross-device technology solutions continues to grow around the globe, coupled with the emergence of regulations such as Europe’s General Data Protection Regulation (GDPR), Tapad is committed to offering suppliers the greatest level of insight without compromising consumer privacy. Since Tapad started licensing its proprietary Tapad Device GraphTM just over a year ago, demand for the company’s technology has experienced significant growth. New supply partnerships and proactive data sourcing have also meant an increase in devices across key markets, which contribute to the overall 20 percent growth of the EMEA device graph, including a 44 percent increase in the U.K., 47 percent in France, and 85 percent in Germany. “We’re continuing to invest heavily in growing our regional device graph, allowing us to better meet the needs of EMEA marketers as they strive to reach individuals with greater precision in some of the most tightly regulated marketplaces worldwide,” said Tom Rolph, VP EMEA, Tapad. “This year, we have also welcomed 10 new data suppliers whom we’ve helped to increase cross-device amplification, attribution and audience extension, helping to further set us apart in the marketplace and successfully expand our EMEA presence.” Available around the world, the Device Graph provides access to Tapad’s globally compliant and privacy-safe datasets across EMEA, APAC and the U.S., and offers deeper knowledge of consumer preferences, purchase intent, and conversion behaviors. “Tapad has shown a unique ability to adapt to the nuances of the local EMEA market and display impressive growth without sacrificing dedication to privacy,” said Alistair Hill, CEO and Co-founder at On Device Research. “When we started vetting technology vendors, we needed to be sure that we selected a partner that could offer compliant and privacy-safe datasets to operate within our stringent data standards. Tapad’s probabilistic solution offered us greater scale, greater device reach, and increased engagement without compromising on privacy.” For information more about the Tapad Device Graph™, or to request a demo, contact us today. Get started with us