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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Experian received top ranks for hashed emails (HEMs) and demographic data from Truthset Data Collective Advertisers, technology partners, and agencies are all chasing accurate data to power their marketing strategies. Turns out, not all data is created equal and unless you’re working with the right partner, high-quality data can be hard to find. That’s because accuracy can vary widely across the industry and the partner you choose is important. A recent study conducted by data validation company Truthset showed that 51% of the data used for ad targeting and audience measurement is wrong, with average accuracy rates ranging between 32%-69% across data providers. The data quality challenge The lack of high-quality data poses multiple challenges in the advertising world: Wasted ad spend: without accurate data at the start, marketers can’t reach the right audiences, resulting in wasted impressions. Privacy and compliance: in an increasingly privacy-centric world, advertisers need to be especially mindful of accurate targeting to avoid putting their brand reputation at risk. Poor campaign performance: low-quality data skews metrics and attribution models, making it difficult to measure campaign success and optimize spend. Low-quality data can come in different forms like inconsistent or outdated information – think demographics (age, gender) and interests (dog versus cat lover) or simply the wrong relationship can be made between datasets. Data records can be incomplete or duplicative and data segments could be misclassified or inaccurate. For example, a kids snack food company may think they’re targeting a 35-year old man, who lives in the suburbs with his young family when in fact it’s a 65-year-old woman who moved to the city after her kids went to college. It’s wasted dollars!Build the data foundation Data quality needs to be addressed if advertisers and advertising technology partners want to fulfill consumers’ demand for personalized marketing. Per eMarketer, more than 75% of internet users worldwide said they were willing to share their email address, brand interest, and name in exchange for personalized experiences. Without accurate data, marketers won’t be able to provide the level of personalization that consumers desire. Validation can help advertisers evaluate third party data and help build trust across the ecosystem. Companies like Truthset review and provide an unbiased evaluation of data fidelity and quality on a regular basis. "As cookies and mobile ad identifiers continue to phase out, consented, durable identifiers (hashed email, postal addresses) are going to serve as the foundation for identity solutions of the future,” said Chip Russo, President at Truthset. “And the only way to ensure you are transacting on the highest quality identity and demography data is to actively validate the data you rely on with a third party.” Not all data is created equal: Experian leads the way In Q3 2023 Truthset reviewed Experian’s marketing data – as well as several other large data providers – and found: Experian is the #1 data provider in terms of largest volume of high-accuracy hashed e-mails (HEMs) with demographic data Experian ranks #1 in accuracy for 15 marketing data attributes, including but not limited to Age, Gender, Home Owner/Renter, Geography, Education, Presence of Children, and Pet Owner Experian consistently has the largest number of HEMs with demographic data that are 90% or more likely to be accurate “As a member of the Truthset Data Collective, Experian received top ranks across a variety of categories for its data,” continued Russo. “The entire digital advertising world runs on data, but focusing on data accuracy is going to drive the next phase of innovation for the industry, enhancing ROI for advertisers, CPMs for publishers, and relevant experiences for consumers.” As Truthset's recent study highlights, the data matched between hashed e-mails and postal addresses is crucial, underpinning everything from targeted ads to TV audience measurement. Highly accurate HEMs linked to high-quality demographic data should be the foundation of any marketing plan. Advertisers are able to overcome the complexities of identity resolution by tying online and offline touchpoints together to deliver a consistent message across channels. Companies are striving to eliminate marketing waste and provide consumers with personalized marketing and the advertising industry can have confidence that Experian’s marketing data has been externally validated as being highly accurate. The accuracy of our data will power smarter marketing initiatives, like insights, targeting, identity, and measurement. Let's start a conversation about how we can fully realize the potential of data-driven advertising together. Contact us today Latest posts
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