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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CBS reported that 48 million viewers watched at least some of the championship game. According to viewership data from Experian Simmons, men's tournament viewers outnumbered women's tournament viewers by a ratio of 3.7 to 1. That's nearly four men's tournament viewers for every viewer of the women's tournament. So who might be watching this year? Using Experian's Mosaic consumer lifestyle segmentation system combined with last year's tournament viewership data from Experian Simmons, we took a closer look. Men's Tournament Viewers Rise Above The Rim On Affluence The men's tournament draws a significant share of viewers from affluent households. Nearly half of viewers have household income of $75,000 or over. The ten most affluent Mosaic segments have an over-representation of men's tournament viewers compared to their corresponding share of U.S. adults. This includes Dream Weavers (well-off families with school age children, living an affluent suburban version of the American Dream), Enterprising Couples (married couples with children and childless duos living in upper-middle-class commuter communities), and New Suburbia Families (young, affluent working couples with pre-school children concentrated in fast-growing, metro fringe communities). Nearly half of the men's tournament TV viewers have household income of $75,000 or over. True to its name, the Dream Weavers segment is a college basketball advertiser's dream for home electronics, home furnishings, home improvement and home office supplies. All of these home-centered categories are near and dear to Dream Weaver householders many of whom will be following the men's tournament very closely in a variety of media formats including online, in HDTV, and on their smart phones. Brands and retail stores that have particular appeal to Dream Weavers include Nordstrom, Ralph Lauren, Nike, Eddie Bauer, Sephora, Dick's Sporting Goods and Banana Republic. But that's not to say that only affluent consumers are watching the men's tournament. Other segments with an above average concentration of men's tournament viewers include African-American Neighborhoods, Minority Metro Communities, America's Farmlands, and Young Cosmopolitans. Men's tournament viewers participate in a wide range of leisure and sport's activities (most notably golfing, football, softball, racquet sports, and weight training), have a preference for driving Cadillac, Acura, and Lexus automobiles, and have a high concentration of readers of such magazine titles as Golf Digest, Sports Illustrated, ESPN The Magazine, Barron's, and Black Enterprise. Women's Tournament Delivers Younger, More Ethnically Diverse Audience The audience for the women's tournament is decidedly different from the men's. About six out of every ten viewers have household income below $75,000. Mosaic segments with the greatest over-representation of women's tournament viewers include Struggling City Centers (young, single and single-parent minority renters living in low-income city neighborhoods throughout the South) and Minority Metro Communities (married couples and single-parent minorities with above-average incomes working in a mix of service industry and white-collar jobs). These two segments alone account for nearly 20% of the women's tournament viewing audience and contain about 2.5 times the concentration of viewers relative to their corresponding share of U.S. adults. Women's college basketball advertisers should note that the tournament delivers a less affluent audience compared to the men. Using Minority Metro Communities as an example, brands and retail stores that have particular appeal to this group and to the broader women's tournament audience overall include 7-Eleven, Ace Hardware, Hallmark, Sam's Club, Kmart, Dollar General, Big Lots, and Marshall's. Women's college basketball advertisers should note that the tournament delivers a less affluent audience compared to the men. Only four of the ten most affluent Mosaic segments have an over-representation of women's tournament viewers. When comparing a segment's share of the overall women's tournament viewing audience to its corresponding share of the men's tournament viewing audience, three of these four segments account for a higher share of women's viewers. These are America's Wealthiest, White Collar Suburbia, and Affluent Urban Professionals. Advertisers will be pleased to know that interest in the tournament from these segments helps lift the viewing audience into a higher income demographic. Using White Collar Suburbia as an example, retail stores that have particular appeal to this segment of the population include Brooks Brothers, Costco, Gap, J. Crew, Kohl's, Lord & Taylor, and Victoria's Secret. Other segments that contain a significantly higher share of women's viewers compared to men include Small-city Endeavors (a mix of lower income singles, families, and single parents living in older homes and small apartments in working class towns) and Professional Urbanites (upper-middle-class empty nesting couples and older singles in metropolitan areas). Men’s Tournament Viewers Compared to Women’s Tournament Viewers Men’s Tournament Top Ten Most Affluent Mosaic Segments Women’s Tournament America’s Wealthiest Dream Weavers White Collar Suburbia Upscale Suburbanites Enterprising Couples Small-town Success New Suburbia Families Status-conscious Consumers Affluent Urban Professionals Urban Commuter Families = Index of 100 to 125 = Index of 126 to 150 = Index above 150 The index shows the concentration of viewers for the men's and women's tournament for a segment compared to the segment's share of U.S. adults. For example, an index above 150 means that adults from the segment are 50% more likely to watch the tournament compared to U.S. adults overall.
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