
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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For the past several years ad-tech defined the value of identity at the individual level; made possible by the evolution of data, technology and machine-learning. But, earlier this year COVID-19 set in motion many shifts in consumer digital behavior. The more we’ve been working and learning from home, using devices that are shared amongst an entire household, the more apparent it is that marketers need to shift their strategies to align with these changes. Did you know the average household owns eleven or more connected devices? And the longer we’ve been at home, the more these devices are shared by multiple individuals. If you’re looking for a few simple ways to evolve from an individual focused strategy to a household strategy, here’s a good place to start: Audience segmentation Traditionally, audiences are built with a narrow focus on a single user, and what known attributes about that individual or their brand engagement can be leveraged for a targeting strategy. Now that screens are being shared between multiple users in a home, how can you be sure you’re identifying them correctly, and thus, segmenting them in the right buckets for targeting? The key lies in the ability to connect those points through identity resolution. Using ad exposure from household level devices, followed by a second engagement from an individual within that household can indicate a user is a better candidate for purchase or conversion than others. So before you build audiences for targeting, you can qualify them at the household level for segmentation with more confidence. Example: An auto advertiser uses audience segments from a third party provider such as ‘auto intenders’ to target individuals with new pricing offers. They would continue retargeting these users, unaware that some are connected in the same household, and thus are probably not all in the market to actually get a new car. By bucketing users that share a common household device within this third party segment, they can hone in on which individuals are actually in-market for a car and evolve their strategy to be more effective. Targeting Retargeting, frequency capping and sequential messaging have always been meant for an individual user — the more they’re exposed to your brand in a personalized way, the more likely they are to take the desired action. But, have you considered that multiple users could have a shared initial exposure to your brand? Today, you can target a household of potential consumers on a shared device like a CTV, and employ those retargeting strategies based on that common initial exposure. Starting at the household level, means you can compare movement through the funnel between different individuals in that household, and tailor your targeting accordingly. Perhaps you realize only one person in that household will convert and you tailor messaging to them more frequently, while confidently suppressing the other individuals. Example: a CPG brand uses OTT advertising, but doesn’t incorporate it within their sequential strategy, because they consider it just a ‘brand awareness’ opportunity. By using OTT more strategically as a household level engagement, it can reveal which individuals within a household are more favorable towards a brand further down the funnel. So, you can spend impressions targeting those users, rather than wasting impressions on multiple individuals within the household. Measurement Measurement and attribution are imperative to understanding the path to purchase and making strategies more efficient over time. Often that efficiency involves adding or removing devices and channels from a targeting strategy based on their contribution to an action or conversion by an individual. This year we’re seeing addressable TV devices explode in use, which are shared at the household level. Even desktop computers are being used by more people in the home due to COVID-19. So, assuming a linear path of attribution by an individual is missing the full picture. Identity resolution can help you understand where messaging was more effective for some users in the household than others, and leverage that insight to continue more effective strategies in the future. Example: Without a household view, a direct-to-consumer brand would assume all interactions from one device would be coming from a single individual, and that could create a higher cost-per analysis. By incorporating the household level devices into attribution models, they can find efficiencies between touch points of multiple users, and learn how those split off into individual paths to conversion. Not only can this DTC create a more effective model, but they can use that model to create cost efficiencies in the future. 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!

QSRs have emerged as superheroes during the pandemic, creating an entirely different consumer experience in record time by offering contactless delivery, curbside pick-up, and other innovations that have allowed them to stay open and operational when so many other businesses have shuttered. But as many states are still moving through their phased re-opening plans and more options become available to consumers, QSRs are challenged with keeping their momentum going. How can they continue to build on their success? The key is activation. Advertising on the right channels at the right time. The more QSRs can offer experiences that leverage the power of data to better speak to their customers and address their unique needs, the better chance they have of continuing to succeed in these unwieldy times. As we move into the fall and winter, and as more and more people look to QSR’s to help with their meal plans, consider the following: 1. Use data to create a more robust loyalty program. There’s no question consumers have plenty of QSRs to choose from and using a loyalty program is an excellent way to ensure they continue to view you as a preferred dining destination. But you might be surprised to learn how much of a difference it can make to your bottom line. PYMNTS reported that in 2019, Starbucks President and CEO Kevin Johnson shared how the company’s active mobile app rewards membership grew to 16.8 million users, which comprised 41% of sales in U.S. stores. The PYMNTS Restaurant Readiness Index also shows that 79.5% of QSR customers and 47.5% of QSR managers see loyalty programs as a feature that is important to a restaurant’s success. Now is a great time to review your loyalty program (or create a new one) and see if you can expand it to offer more perks, thereby enticing more customer interaction. A strong loyalty program should include a combination of your own customer data, enriched with third-party data for deeper customer insights, such as behavior, lifestyle and interests. 2. Make it easy for customers to order, purchase and pick-up with mobile ordering. Mobile ordering is no longer the wave of the future—it’s part of the new now. PYMNTS reported that Dunkin’ Brands CEO Dave Hoffmann noted on-the-go ordering experienced an average weekly sales increase of 25% year over year—and this growth was especially key in locations without a drive-through. For customers who want an easy option that allows them to order, pay and pick-up at curbside, mobile ordering is the ultimate in simplicity, and your data can help you determine who is most primed to take advantage of this option so you can push it directly to them. 3. Offer demographic and location-specific promos. The power of data can help you know a lot about your customers, from age and occupation to whether or not they have a family, how they spend their time, and how much of that time is spent at your competitor’s restaurant. This data can help you craft promotions that can speak directly to your consumer, ensure you’re advertising on the channels they prefer and frequent and get them in your door. When you know you cater to parents who are tired of a long day of homeschooling and work Zoom meetings, you can tailor and execute a promo campaign that speaks directly to their needs and deliver it to their preferred channel, encouraging them to skip cooking and order from you instead. Or maybe you have locations that are close to college campuses, allowing you to entice students with a two-for-one deal they just can’t pass up. And as offices start the slow process of opening back up, there’s an opportunity to welcome workers back to the neighborhood with a special curbside or delivery pick-up deal. 4. Ensure your customer knows your brand values. More and more, consumers are becoming conscious of who they spend their money with and why. As Longitude Design points out, this is something Ben & Jerry’s does exceptionally well, and their value message is spread across everything the brand does, from their scoop shops to their store-bought pints to their company-branded events. This is your opportunity to share what you value as a company and a brand, and how it aligns with your consumer’s lifestyle. Is your food sustainably sourced? Is your packaging environmentally friendly? Be transparent about your supply chain, share how you care for your employees, give some insight into the prep process behind your food, as these insights will help your consumer gain trust in you, which in turn creates loyalty. Social media is a great way to get the word out about your value-based operational initiatives. To learn more about how you can use data to build on and enhance the new customer QSR experience, visit our Restaurant Marketing Solutions page.

Healthcare marketers: Open enrollment starts November 1st. Are you ready? It’s that time of year again—time to promote your insurance plans to existing and potential members ahead of open enrollment. But do you know your members beyond the basics? Sure, you know their name, address, phone number and email address, but do you know what communication channels they prefer? Do you know their lifestyle, behaviors and interests? In order for member communications to be effective, they need to be data-driven—first and foremost. The problem is, the industry is fragmented—and so is its data. With individuals covered by both private and public insurance plans—many payers don’t have access to a complete and accurate view of members and their respective data. And as the industry continues to move toward digital transformation and embraces automation, organizations that aren’t leveraging data insights are in danger of missing out on the opportunity to create a more solid connection with members. Partnering with a third-party data provider like Experian to enrich your first-party data is the answer. With a reliable source of data, health plans can more easily identify members, deduplicate their profiles, and leverage accurate contact information and communicate on a personal, relevant, empathetic level. Here are 5 ways to attract new members and retain existing members: 1. Create more accurate personas for marketing needs: Whether we use your data or combine yours with ours, you can gain stronger member analysis for segmentation and modeling that can help you maintain current relationships or expand your outreach to acquire new members—and ensure the loyalty of both categories. 2. Ensure the accuracy of member data: With Experian’s identity and data solutions, you can rest assured that your member database is accurate and up to date to maximize contact rates and minimize errors. 3. Build strong communication channels with your members: Optimize your advertising efforts through preferred channels—and identify those communication channels—to effectively connect with your customers using our data identifying their lifestyle, interests, behaviors and more. 4. Understand more about your members’ needs and behaviors: We’ll help you keep your members healthy. What do your members do, need, prefer? How much can they afford for healthcare? How do they live? You could guess, or you can let unbiased data guide your decisions so you can better assist your members in their health care goals. 5. Create a better member experience: With data and insights, Experian can give you the information you need to enable a consistent member experience, allowing you to match your products in a way that complements your member’s needs and lifestyle. Experian cuts through the data overload by focusing on data that matters and drives actionable decisions. With Experian on your side, you’ll be able to leverage the largest consumer database. We’re here to help you to manage a wide range of marketing needs, including measuring your campaign impact and determining the best messages to use to connect with your audience. We can also assist with securely managing your data in a way that helps to ensure the accuracy of that data to give you the most up-to-date picture of your current member database. Ready to learn more about our healthcare marketing solutions for open enrollment? Complete our online form and an Experian Marketing Services representative will reach out to you soon.