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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Tom Rolph, VP EMEA at Tapad, part of Experian, says that ad-sponsored streaming services can be successful if they can deliver a higher quality viewer experience than other streaming services. Last week, Hulu, the streaming service acquired by Fox and now owned 60 per cent by Disney, announced it will be regularising its ad loads. The streaming service will be bringing ad breaks down to 90 seconds in an effort to deliver a better viewer experience. This is a positive move from Hulu and one which other ad-supported streaming services should follow in order to be successful in a competitive market. Previously ad breaks on Hulu could vary wildly, from 180 seconds to 240 seconds, due to existing deals with its three owners: Disney, Comcast and AT&T. Over in the UK, we haven’t suffered from quite as inconsistent an approach as in the US, but there is still viewer frustration with the ad experience on ITV Hub and All4, where the problem tends to be over exposure of the same ad. Therefore, this move to standardise ad break lengths for streaming platforms is one that should be embraced on both sides of the pond. An important shift in this space will be to limit the number of ads during each show, but have better ad targeting to minimise repetitive advertising and increase the ROI of ad spend. All of which can be accomplished by investing in identity resolution products that can support CTV devices. Last year Ofcom found that in the UK subscriptions to Netflix, Amazon and NOW TV have risen above those to traditional pay TV services. With Netflix and Amazon both ad-free and NOW TV only a limited ad funded model, it’s clear that there is a growing appetite for ad-free viewing models. A fact that is only further supported when you consider the role of the BBC and BBC iPlayer. But the picture isn’t entirely negative for ad-funded models. There is demand for great content on ad-funded services in the UK, with ITV Hub boasting over 1bn requests and 540m hours of TV watched. The ITV Hub mobile app has also been downloaded on over 27m devices across the country – with over 22m people now registered to ITV Hub database, including more than half of Britain’s 16-24 year olds. However, to continue to attract and retain younger viewers, the experience will have to improve. There are several areas where ad-supported streaming providers need to improve in order to remain top players in this space: Ad experienceAs explored above, both volume and repetition of ads can be a turn off for viewers, but with Brits already spending a total of £303.16m every month on TV streaming services, according to Finder.com, there is potential for free, ad-funded models to flourish as people hit a limit on what they are willing to spend. There are already signs of improvement with the ad experience, with ITV just signing a deal with Amobee to allow for addressable ads on ITV Hub, while Sky’s AdSmart technology remains best in class and has now crossed over the pond to be used by Comcast stablemate NBC. Server reliabilityA cursory search finds little evidence of ongoing reliability problems with Netflix, but much evidence of problems with ITV Hub and All4, which are both prone to crashing. To compete with bigger players with massive server farms, server capacity needs to be tackled. This is especially true when it comes to live events, where many people will recall ITV Hub’s famous fails during the World Cup. While even some of the larger players have had similar streaming issues (for example, Amazon’s move into live sports streaming when they had to pull UK streaming of the US Open Tennis due to user complaints), viewing experience should be prioritised as the space gets increasingly competitive. Getting the content rightAmazon and Netflix have huge content budgets, but UK broadcasters remain strong in this regard, Channel 4 has enjoyed viewing figures of 7.5m for the Great British Bake Off, while ITV pulled in 13.7m for I’m A Celebrity. By building on UK-specific content that speaks to UK audiences, ad-supported streaming services can continue to pull in more viewers. Mobile accessMore and more Brits are choosing to watch TV content on their smartphone or tablet, according to UKOM-approved comScore data. In fact, 6.5m adults visited the BBC iPlayer app to watch video on either a smartphone or tablet, edging out Netflix which attracted 5.8m Getting the experience right on mobile, with the option to download content so it can be viewed in areas of low or no signal, is key.If UK ad-supported TV stations can crack these key areas for their Connected TV offering then they will be set up to succeed and offer a true home-grown alternative to the US streaming giants. Full article here. Contact us today!
Tapad's, part of Experian, SVP of Identity shows us how marketers might communicate seamlessly through emerging channels like voice, the smart home, and, yes, podcasts.In his relatively new role as senior vice president of identity at Tapad, a part of Experian, Ajit Thupil keeps a close eye on the evolution of marketing as it becomes more intent on using data and identity technology to track ROI. Here he sits with Chris Wood at Tapad’s New York offices to discuss the future of identity. (To capture the inventive atmosphere at this location, the room they chatted in was named after Leonardo da Vinci.) For Thupil, it all comes back to the customer, whether it’s a brand client or a consumer. Brands want measurability and customers demand a seamless experience across the many devices they use in a day. While consumers are understandably reticent about giving up personally identifiable information (PII), current identity solutions use anonymous data profiles to connect the dots at the individual or household level. Given the frequency that users switch devices, along with their tendency to share bigger screens like TVs, there’s no dearth of challenges for this “head of problem solving” to solve. Contact us today!
Joint solution will enhance accuracy and reach across North America, EMEA and APAC NEW YORK, April 17, 2019 /PRNewswire/ — Tapad, a global marketing technology company and leader in digital identity resolution solutions, today announced a new joint capability with Arm®Treasure DataTM , a leader in enterprise customer data management. The partnership combines The Tapad GraphTM technology with Arm Treasure Data's robust enterprise Customer Data Platform (CDP), enabling advertisers in the Arm Treasure Data marketplace to access Tapad's datasets. With the integration of Tapad's Graph and Arm Treasure Data's existing first party data, marketers will be able to deliver scalable, cross-device messaging with precision. In addition, marketers can benefit from anonymous customer journey analysis, audience expansion and online and offline attribution. Arm Treasure Data's APAC market customers will have access to expanded audience reach by leveraging Tapad's global, proprietary datasets. While Tapad will be able to extend its presence into the APAC region, tapping into Arm Treasure Data's existing footprint. "Combining Tapad's Graph with Arm Treasure Data's CDP will enable our customers to make holistic, data-driven decisions that increase ROI," said Chris Feo, SVP of Global Data Licensing and Strategic Partnerships at Tapad. "In combining these two solutions, we can now offer advertisers the value of both technologies to optimize their marketing initiatives and create seamless experiences across multiple devices and channels." "The Tapad GraphTM is a trusted and established platform with a history of innovation," said Stephen Lee, Senior Director, Business Development, Arm Treasure Data. "Integrating Tapad's technology into the Arm Treasure Data CDP will allow for streamlined experiences across markets, achieving global scalable reach." For more information about The Tapad GraphTM, or to request a demo, visit our identity page. Contact us today! About Tapad Tapad, Inc. is a global marketing technology company and leader in digital identity resolution solutions. The Tapad GraphTM, and related solutions, provide a privacy-safe approach to connecting device identifiers to brand and marketer data, thereby allowing for enhanced measurement, attribution, reach and ROI of marketing campaigns. The Tapad GraphTM enables marketers around the world to maximize campaign effectiveness and drive business results. Tapad is recognized across the industry for its innovation, growth and workplace culture, and has earned numerous awards, including the TMCnet Tech Culture Award. Based in New York, Tapad also has offices in Chicago, London, Oslo, Singapore and Tokyo, and is a wholly owned subsidiary of Telenor Group. About Treasure Data Arm Treasure Data enterprise Customer Data Platform (CDP) unifies data from multiple sources – online, offline, IoT and device generated data – and empowers enterprises to disrupt their markets with superior customer experiences. Our customers are creating transformational customer relationships by connecting the data dots with our CDP. Arm Treasure Data is fully owned by Arm Holdings and has a global customer base of over 300 enterprises including Fortune 500 and Global 2000 companies. Our clients manage over 130 trillion records, resulting in more predictable and profitable business results.