At A Glance
Consumer behavior shifts faster than traditional model inputs can track it, which leaves marketers spending against audiences that are less likely to respond. Experian's AI enhanced modeling applies AI to find and validate stronger predictive signals across our existing data and audience products, producing a 10% average model lift across hundreds of models. For marketers, that means better targeting and less wasted spend, without a new workflow.Consumer behavior keeps shifting across channels, and the signals that point to your most relevant audience aren’t always obvious. Experian’s AI enhanced modeling applies AI to find and validate stronger predictive signals across our data and modeling technology, so marketers can reach higher-potential consumers with less wasted spend.
A consumer may not fit an expected profile exactly, but still show behaviors that suggest strong relevance for a campaign, product, or offer. When audience strategies rely too heavily on static or less predictive signals, marketers can miss valuable opportunities, spend against less relevant consumers, and increase the risk of audience fatigue.
Stronger audience strategies start with stronger model inputs. This article looks at why signal quality matters, what better model inputs can mean for audience performance, and how AI can help identify more useful predictive patterns.
Why do traditional attributes alone leave opportunity on the table?
Traditional attributes, like demographic and static data, remain valuable. They help marketers understand who consumers are, how they live, and what they may care about.
Audience relevance is typically influenced by a combination of attributes rather than any single factor. A consumer may not match an obvious buyer profile yet still show signals that suggest they are likely to act. When audience strategies rely too heavily on familiar or less predictive signals, marketers may overlook high-potential consumers and continue spending against audiences that are less likely to respond. That can limit reach, reduce efficiency, and increase audience fatigue.
Advances in AI and modeling are helping marketers move beyond obvious or static signals toward more current, actionable audience intelligence, improving model performance, and strengthening the predictive power that supports better marketer outcomes. By making it easier to test more combinations and compare which inputs are more likely to predict a desired outcome, AI can help turn hidden patterns into useful signals for audience planning and activation.
How does AI find more useful predictive patterns?
AI helps modeling teams identify meaningful combinations and transformations of data signals that can be difficult to find through manual data science work alone. It surfaces correlations, suggests signal combinations, and accelerates the review of possible model inputs. That gives modeling teams a faster way to design, test, and compare more potential predictors for a defined objective.
AI also gives modeling teams another way to look at the data. Every data scientist brings valuable experience, context, and judgment to model development, but all people also bring their own perspectives and blind spots. AI can supplement that expertise by suggesting feature combinations or data patterns the team may not have known to explore.
In that way, AI acts less like a replacement for human expertise and more like an added team member. It introduces new possibilities, expands the range of inputs under consideration, and helps modeling teams see relationships that may not be obvious at the start.
Those suggestions still require human review, testing, and validation, but they can help data scientists learn from the data in new ways and produce stronger outcomes for marketers. For marketers, better inputs mean audiences that reflect current behaviors, interests, purchase patterns, and intent more accurately, which supports stronger campaign performance and better outcomes.
More data only matters when it leads to better signals. AI helps prioritize validated signals that improve predictive outcomes, rather than expanding inputs without a clear purpose. AI models can help identify nonlinear interactions and subtle patterns that may otherwise go unnoticed. With the right data foundation and validation process, those patterns can become stronger model features that support more relevant audiences.
Why does data quality determine AI model performance?
AI is only as useful as the data behind it. Predictive modeling depends on accurate, compliant, expansive, and relevant data. Strong signals need to be tested against known seed or deterministic data, which gives models a reliable benchmark for comparison. That validation is what separates useful predictive signals from interesting patterns.
By applying these AI-driven advancements to our modeling approach, Experian has seen a 10% average model lift across hundreds of models, validated against known seed or deterministic data.
For marketers, these improvements can translate into more efficient and effective outcomes across the use cases they rely on. With more predictive models powering audience inputs and decisions across planning, enrichment, modeling, onboarding, and activation, marketers can focus efforts on higher-potential consumers and move more quickly toward their goals.
What do stronger signals mean for marketers?
More useful predictive signals help marketers focus effort and spend on consumers who are more likely to match a desired outcome, such as purchase, response, retention, or upsell.
This is where Experian’s AI enhanced modeling comes in. AI enhanced modeling is built into our data foundation and modeling technology that applies AI to identify and test more predictive, current, and actionable signals across our data and audience products.
As part of our data foundation, AI enhanced modeling:
For marketers, this means better model outcomes across the use cases and applications you already rely on, including onboarding, modeling, Enrichment, Marketing Attributes, and audience activation, without adopting a new workflow.
How does AI improve model development speed and performance?
Consumer behavior will keep shifting, so audience strategies need model inputs that capture those changes and show marketers which consumers are more likely to act.
AI uncovers signal combinations that traditional exploration may miss, analyzes large and diverse data sets, and compares potential predictors faster. When paired with strong data, modeling expertise, and validation, these inputs support better model performance and more relevant audience decisions.
Our AI enhanced modeling brings together AI, data, identity, modeling expertise, and validation to identify more predictive, current, and actionable signals across the products and use cases you already rely on. This gives you better audience intelligence, more relevant activation, and stronger marketing performance, with responsible data use built into the process.
To see how AI enhanced modeling can strengthen your predictive audiences, talk to our team today.
About the author
Jeremy Meade
VP, Data Operations & Governance, Experian
Jeremy Meade is VP, Data Operations & Governance, at Experian Marketing Services. With over 15 years of experience in marketing data, Jeremy has consistently led data product, engineering, and analytics functions. He has also played a pivotal role in spearheading the implementation of policies and procedures to ensure compliance with state privacy regulations at two industry-leading companies.
FAQs
Experian AI enhanced modeling is our approach to applying AI within our existing data foundation and modeling technology. It identifies and tests more predictive, current, and actionable signals across our data and audience products, without requiring a new workflow.
Experian AI enhanced modeling has produced a 10% average model lift across hundreds of models, validated against known seed and deterministic data.
Experian AI enhanced modeling doesn’t replace human data scientists. AI surfaces signal combinations and patterns a team might not think to test. Every suggestion still goes through human review, testing, and validation before it becomes part of a model.
Experian AI enhanced modeling strengthens existing use cases across onboarding, modeling, Enrichment, Marketing Attributes, and audience activation, using the workflows marketers already rely on.
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It’s been over a year since Google announced they’d be deprecating the third-party cookie and in that time there’s been a major focus on two types of cookieless identity solutions. Identity vendors and marketers are strategizing which of these two future solutions best fits their needs so they can achieve privacy-safe scale once third-party cookies are no longer available for use on Chrome. Let’s break down these solutions and the considerations marketers need to take into account when deciding what partners to move forward with in the future of identity resolution. Authenticated Traffic Solutions Authenticated traffic solutions (ATS) are a type of digital identification that asks the end-user to identify themselves via personal information, most commonly email address. Often, you’ll see self-authentication at the point of entry to a website that asks you to create an account or login immediately to access the content you are seeking. E-commerce sites use authentication to keep track of consumer purchases and inform advertising decisions for that customer; and publishers use it to tailor featured content, or, more importantly for this discussion, leverage it within the ad ecosystem for targeting. While authentication can provide very valuable user data for audience segmenting and targeting, it can be limited in scale for a single publisher to leverage and monetize on their own. That’s why some identity vendors have worked to integrate themselves within as many publisher authentication modules as possible, so that they can create an aggregate of scale for the ad ecosystem to tap into. But, even this isn’t going to deliver the reach marketers truly thirst for. Alternatively, Facebook has the scale for authenticated traffic, but they keep their data inside a walled garden, so the utility of those authenticated users is only valuable within the Facebook ecosystem. So how can authenticated traffic solutions increase scale to broaden the scope of identifiers they can collect and leverage? Hint: a few of the biggest players have already figured it out. It’s the single sign-on. Google is probably the largest purveyor of a single-sign on solution that can directly impact advertising capabilities. Can you think of a site you visit that doesn’t offer a sign-in with your existing Google account? It’s a short list. Google has integrated themselves into so many applications and publishers that “Login with Gmail” is just second nature (you pictured the Gmail logo when you read that, didn’t you?). Now, if you’re about to purchase something you found off an Instagram ad, or perhaps a retailer you buy from regularly, you’ve probably noticed options to proceed with your checkout via “Amazon pay” or “Apple pay”. These are also single-sign ons. You’re authenticating yourself through Amazon or Apple to that retailer in exchange for A- the safety and security that Amazon or Apple provide for your financial information and B- skipping the annoying process of manually entering personal information over and over again at point of sale. It’s starting to sound like there’s a lot of authenticated data out there isn’t it? Well, that’s true, but again, Amazon and Apple are walled gardens. Amazon is working diligently to build out their own ecosystem to leverage their content and retail channel data for a holistic offering. And Apple keeps user data very close to the chest, constantly limiting its utility for themselves and advertisers. So what is identity resolution doing about it? The Trade Desk announced their solution; Unified ID 2.0, which promises to leverage email authenticated identity for a truly scaled solution for publishers via Javascript through Prebid. By handing over UID2.0 to an independent unbiased organization like Prebid, The Trade Desk is creating instant scale and trust in their solution. Unauthenticated Traffic Solutions Unlike ATS, unauthenticated traffic solutions do not rely on a log-in to identify a user, but they also don’t rely on third-party cookies. Instead, unauthenticated solutions (UATS) leverage their existing streams of real-time data through Javascript on publisher sites or an SDK (software development kit used by apps). The type of information UATS solutions can collect via Javascript or SDK vary, but it can include IP address, user agent and device level info. But being able to read this information at the point of entry to a website does not make a quality identifier. The best unauthenticated solutions will have the ability to set or ingest this information into a unique ID through an infrastructure with incredibly fast speed that can process trillions of anonymous data signals across multiple channels and devices. And even more so, be able to interpret those signals into a profile using machine learning– all at the moment a user enters a domain. It sounds complicated because it is, but it also has a lot of potential. The identity space cannot rest solely on authenticated traffic solutions, because, as you can see, it could limit ownership and operability to just a few power players/walled gardens. This doesn’t help the larger ecosystem monetize and personalize ad inventory. The right unauthenticated solution, however, can unify cross-device individuals and households at scale, because they’re integrated on the broadest number of publishers/SDKs across platforms, have the best algorithms to build confident connections between identifiers, and are universally transactable across the most common sell and demand side platforms. Think of it as the perfect partner- speaking a common language that everyone in the ecosystem understands and acts on. Today more than twenty cookieless identifiers are available in market for the ad ecosystem, and Google hasn’t even announced a date of deprecation. It’s important to be on the lookout for differentiators like scale and precision. Most importantly, choosing a truly cross-device partner will be key, especially as more digital devices and IDs grow in adoption, like CTV has this past year. Taking advantage of both What we will come to find, once the third-party cookie is obsolete, is that choosing just one of these solution types, or partners, will be a disadvantage. The more the industry comes together to collaborate on solutions, the more apparent it is that both of them have value, and thus employing both solutions will give marketers the best opportunities. Tapad, now part of Experian, recently announced the launch of Switchboard; a module within our identity solution; The Tapad Graph, to create this agnostic interoperability for identifiers of all types, and choice and control for the ad tech vendors and marketers who want them. By instantly creating the ability to partner with multiple solutions, Tapad + Experian is ensuring that all use cases for the third-party cookie live on in our cookieless future. Get in touch
Tapad launches global privacy-safe solution to provide continuity in the absence of third-party cookies Switchboard, a module within The Tapad Graph, will connect emerging cookieless identifiers to traditional IDs, creating a more holistic view of the consumer and driving value exchange within the advertising ecosystem Tapad, part of Experian, a global leader in cross-device digital identity resolution, and a part of Experian, announced today the launch of Switchboard, a first-of-its-kind solution to help navigate the evolving cookieless landscape. Switchboard, a module within The Tapad Graph, will operate as a global, privacy-safe solution to provide continuity in the absence of third-party cookies by connecting new cookieless identifiers to traditional digital IDs for a comprehensive view of consumers and their digital touchpoints. Switchboard will enable interoperability across the growing number of these digital identifiers and the value exchange between publishers, content creators and consumers. Leading digital identity solutions partnering with Tapad, part of Experian at the launch of Switchboard include Unified ID 2.0, ID5, Lotame Panorama ID, BritePool, Retargetly IDx and Audigent Halo ID. Tapad, part of Experian plans to expand support to additional identity solutions on an ongoing basis. In addition to these identity solutions, early partners across the ecosystem include The Trade Desk, Amobee, Martin, ShareThis, Eyeota and Catalina. “This diverse group of launch partners and testing customers will prove that Switchboard is an important tenet for the future of identity resolution. We’re excited to be proactive in our approach to give marketers time to adapt new solutions and test their function in tandem with the third-party cookie, while continuing to give our customers flexibility and control,” said Mark Connon, General Manager of Tapad, part of Experian. “Facilitating access and usage of 1st party identifiers is crucial to help marketers prepare for the cookieless future. Thanks to Switchboard, ID5’s cookieless IDs will be available to a wider audience of brands and agencies and enable them to run effective, data-driven campaigns beyond the third-party cookie,” said Mathieu Roche Co-founder & CEO of ID5. Switchboard provides value across the marketing and advertising ecosystem as the need for the ability to support multiple cookieless ID’s across ad tech increases throughout 2021. With a decade of expertise creating digital identity resolution products, Tapad, part of Experian is poised to solve this challenge through innovation and quality, privacy-safe data-driven solutions. “Interoperability is paramount for brand marketers, agencies, publishers and platforms if we want to support an open and free Internet and break free of the stranglehold of walled gardens,” said Pierre Diennet, Global Partnerships at Lotame. ”Lotame Panorama ID’s participation in Switchboard reflects our steadfast commitment to collaborating across and within the industry and providing value to all of its players.” “As advertisers continue to contemplate the future of identity, Amobee is proud to partner with Tapad, part of Experian on this next-generation solution to provide a comprehensive view of consumers,” says Bryan Everett, Senior Vice President of Global Business Development at Amobee. “With the imminent loss of cookies, advertisers must think creatively in order to respectfully engage consumers in a privacy-compliant way and Switchboard can play an important role in addressing their respective identity needs.” Tapad, part of Experian is welcoming identity solutions and Tapad Graph customer participation in Switchboard throughout 2021. Stayed tuned for more updates and information on Switchboard in the coming months. Get in touch
Adapt with Tapad, a part of Experian Leading browsers have made public announcements and technical deployments to reduce the digital advertising accessibility of third-party cookies for data collection, storage, and sharing due to growing privacy concerns. As a result, there has been growing momentum to find an alternative via cookieless IDs, with the intent to create a replacement that helps ensure continuity across the ecosystem. At Tapad we’ve chosen to approach the market with a solution that provides agnostic interoperability for these cookieless identifiers, so that marketers can continue to work with the identity providers of their choice while maintaining the most holistic view of consumers across digital touchpoints. Introducing switchboard Switchboard is a module within The Tapad Graph that leverages our core capabilities across machine learning and identity management to provide a connection between traditional digital identifiers and the new wave of cookieless IDs that will be utilized in the future. Customers of Tapad can take advantage of its broad ecosystem of identifiers to drive targeting and frequency capping strategies and enable detailed measurement and attribution post-deprecation of the third-party cookie. Our goal is to accelerate the adoption, scale, and utility of cookieless IDs with the release of the Switchboard module within The Tapad Graph, while maintaining an agnostic approach to the market. Switchboard for identity solutions In the evolving landscape agencies and marketers will need to invest, test, and analyze the best combination of cookieless ID partners to meet their objectives. The Switchboard module will increase the utility and value of the cookieless ID space in conjunction with other addressable IDs, by providing a layer of connectivity that will be natively missing with the deprecation of third-party cookies. Identity solutions at launch: Switchboard for graph customers For existing Tapad customers who leverage the Switchboard module in The Tapad Graph, it will provide a seamless way to facilitate interoperability while resolving identity back to a Household or Individual. By providing this translation layer, Tapad will take on the responsibility of encryption and decryption protocols where applicable, which will deliver added functionality to our customers. Tapad + Experian partners at launch: Use cases Resolve existing first-party data with new cookieless solutions through The Tapad Graph to minimize data loss Frequency cap at the Individual and Household level via Cookieless and traditional ID Reach consumers at scale across all touchpoints and IDs Build a more inclusive and holistic view of the consumer journey Run accurate and scalable measurement before and after the formal deprecation of third-party cookies in Chrome Map online data into offline activities Hear why industry leaders are adapting with Tapad + Experian As advertisers continue to contemplate the future of identity, Amobee is proud to partner with Tapad, a part of Experian, on this next-generation solution to provide a comprehensive view of consumers. With the imminent loss of cookies, advertisers must think creatively in order to respectfully engage consumers in a privacy-compliant way and Switchboard can play an important role in addressing their respective identity needs. — Bryan Everett | Senior Vice President of Global Business Development | Amobee Connecting offline and online shopper activity in a privacy-compliant way is fundamental to marketing effectiveness and determining return on ad-spend. That’s why we’re excited to be a launch partner for Tapad + Experian’s Switchboard offering; it provides a unified solution for supporting the variety of proprietary and anonymous user ID standards required by advertising demand-side platforms today. — Brian Dunphy | SVP Digital Business and Strategic Partnerships | Catalina As the industry evolves, Tapad + Experian’s Switchboard presents a privacy-safe solution that allows for the continued activation of data and an alternative to advertising within walled garden environments. We look forward to collaborating with Tapad and the industry as we collectively transition to support cookieless identity. — Don Lee |SVP of Global Platform Partnerships | Eyeota We are excited to participate in this proactive solution to the sunset of third-party cookies. Switchboard’s agnostic interoperability, with BritePool and other ID providers, will create high-value for marketers as they transition to the era of cookieless web advertising. — David J. Moore | CEO | BritePool Interoperability is paramount for brand marketers, agencies, publishers and platforms if we want to support an open and free Internet and break free of the stranglehold of walled gardens. Lotame Panorama ID’s participation in Switchboard reflects our steadfast commitment to collaborating across and within the industry and providing value to all of its players. — Pierre Diennet | Global Partnerships | Lotame At this pivotal moment in the industry, we are excited to be partnering with Tapad, a part of Experian on their cookieless initiative and making Retargetly IDx available into the Switchboard solution, providing global brands, platforms and publishers with a compliant, cookieless ID solution for the Latin American market; enabling them to target, reach and measure users at scale through the region. — Daniel Czaplinski | CEO and Co-Founder | Retargetly With Audigent’s Halo ID, we’re architecting a cookieless future where clients and partners have confidence in the actionability and interoperability of exclusive 1st party audiences, originated from some of the world’s leading publishers and creators. We see collaboration as being critical to a collective understanding of identity and Tapad, a part of Experian as a trusted partner with solutions such as Switchboard to support continuity for marketers’ addressability. — Drew Stein | CEO and Founder | Audigent Facilitating access and usage of 1st party identifiers is crucial to help marketers prepare for the cookieless future. Thanks to Switchboard, ID5’s cookie-less IDs will be available to a wider audience of brands and agencies and enable them to run effective, data-driven campaigns beyond the third-party cookie. — Mathieu Roche | CEO and Co-Founder | ID5 Addressing the current identity challenge requires transparency and collaboration. We are pleased to align ShareThis data with Tapad + Experian’s growing ecosystem. ShareThis data helps marketers evolve beyond the cookie to complete the picture. Tapad + Experian’s Switchboard offering will support ShareThis’s deep connections to clients and technology platforms, preserving and growing the accessibility of our data. — Michael Gorman | SVP Product and Business Development | ShareThis Get in touch