At A Glance
AI learns what your data teaches in 2025, "good data" in AI means accurate, current, consented, and easy to connect, or your models lose relevance and your investments underperform. Experian is leading this next era of responsible data where trust, transparency, and innovation come together to make marketing more human, not less.What makes data “good” in the age of AI?
In AI-driven marketing, data quality now defines success. “Good data” in AI isn’t about volume; it’s about the balance of accuracy, freshness, consent, and interoperability. As algorithms guide decisions, they must learn from data that’s both accurate and ethical.
At Experian, we believe good data must meet four conditions:
This is the data AI can trust and the data that keeps marketing relevant, predictive, and privacy-first.
Why does data accuracy matter more than ever?
AI models are only as intelligent as their inputs. Incomplete or inconsistent data leads to bad predictions and wasted spend. As the industry moves toward agentic advertising, where autonomous systems handle campaign buying and optimization, data accuracy becomes even more critical. If your ad server or audience data is flawed, these new AI agents will simply automate bad decisions faster.
Experian applies rigorous quality filters and conflict resolution rules to ensure our data is both deterministic and accurate. Deterministic signals alone don’t guarantee accuracy; they must be verified, deduplicated, and contextualized. Our identity resolution process anchors every attribute to real people, giving brands and platforms the confidence that every insight stems from truth, not noise.
Our data is ranked #1 in accuracy by Truthset, giving our clients confidence that every decision they make is backed by the industry’s most reliable insights.
Just because it is deterministic, doesn’t mean it’s highly accurate. You still need to refine and validate your data to make sure it tells a consistent story. You need to anchor your data around real people.
Why does AI need fresh data?
Outdated data can’t predict tomorrow’s behavior. AI thrives on recency.
At Experian, our audiences are refreshed continuously to mirror real-world signals, from purchase intent to media habits, so every campaign reflects what’s happening now, not six months ago.
And we don’t just advocate for fresh data, we rely on it ourselves. Our own AI-powered models, used across our audience and identity platforms, are continuously retrained on the most current, consented signals. This allows us to see firsthand how freshness drives better accuracy, faster optimization cycles, and more relevant outcomes.
But freshness alone isn’t enough. With predictive insights, our models go beyond describing the past. They forecast behaviors, fill gaps with inferred attributes, and recommend next-best audiences, helping you anticipate opportunity before it happens.
Fresh and predictive data means you’re reaching people in the moment that matters and shaping what comes next. With AI, that’s what defines performance.
How do consent and governance build trust in AI?
Responsible AI starts with responsible data. With 20 U.S. states now enforcing privacy laws, data compliance isn’t optional, it’s operational.
At Experian, privacy and compliance are built in. Every data signal, attribute, audience, and partner goes through our rigorous review process to meet federal, state, and local consumer privacy laws. With decades of experience in highly regulated industries, we’ve built processes that emphasize risk mitigation, transparency, and accountability.
Governance isn’t just about regulation, it’s also about innovation done right. We drive transparent and responsible innovation through safe, modular experimentation, from generative applications to agentic workflows. By balancing bold ideas with ethical guardrails and staying ahead of evolving legislation, we ensure our innovations protect consumers, brands, and the broader ecosystem while moving the industry forward responsibly.
Compliance and governance aren’t just boxes to check; they’re the foundation that gives AI its license to operate.
How does interoperability enable AI’s full potential?
AI delivers its best insights when data connects seamlessly across fragmented environments. Our signal-agnostic identity spine allows data to move securely between platforms (connected TV, retail media networks, and demand-side platforms) without losing context or compliance.
Interoperability isn’t just about moving data between systems; it’s about connecting insights across them. When signals connect across environments, AI gains a more complete view of the customer journey revealing true behavior patterns, intent signals, and cross-channel impact that would otherwise remain hidden.
This unified perspective allows AI to connect insights in real time, improving predictions, performance, and personalization while protecting privacy.
Where do AI and human oversight meet?
AI can make marketing more predictive, but people make it meaningful. At Experian, our technology brings identity, insight, and generative intelligence together so brands, agencies, and platforms can reach the right people with relevance, respect, and simplicity.
Our AI-powered models surface connections, recommend audiences, and uncover insights that would take humans months to find. But our experts shape the process, crafting the right inputs, ensuring data quality, reviewing model outputs, and refining recommendations based on industry knowledge and client goals. It’s this partnership between advanced AI and experienced people that turns predictions into actionable, trustworthy solutions.
What “good data” looks like in action
“Good data” becomes most powerful when it’s put to work. At Experian, our marketing data and identity solutions help brands and their partners connect accurate, consented, and interoperable data across the ecosystem, turning insight into measurable outcomes.
When Windstar Cruises and their agency partner MMGY set out to connect digital media spend to real-world bookings, they turned to Experian’s marketing data and identity solutions to close the attribution loop. By deploying pixels across digital placements and using Experian’s identity graph to connect ad exposure data with reservation records, we created a closed-loop attribution system that revealed the full traveler journey, from impression to confirmed booking.
The results were clear: 6,500+ bookings directly tied to digital campaigns, representing more than $20 million in revenue, with a 13:1 ROAS and $236 average cost per booking. Attributed audiences booked $500 higher on average, and MMGY’s Terminal audience segments powered by Experian data achieved a 28:1 ROAS.
This collaboration shows that responsible, high-quality data and AI-driven insights don’t just tell a better story; they deliver measurable business performance.
Why the future of AI depends on “good” data
The next phase of AI-driven marketing won’t be defined by who has the most data, but by who has the best. Leaders will:
AI success starts with good data. And good data starts with Experian, where accuracy, privacy, and purpose come together to make marketing more human, not less.
Partner with Experian for AI you can trust
About the author
Budi Tanzi
SVP, Product, Experian
Budi Tanzi is the Senior Vice President of Product at Experian Marketing Services, overseeing all identity products. Prior to joining Experian, Budi worked at various stakeholders of the ad-tech ecosystem, such as Tapad, Sizmek, and StrikeAd. During his career, he held leadership roles in both Product Management and Solution Engineering. Budi has been living in New York for almost 11 years and enjoys being outdoors as well as sailing around NYC whenever possible.
“Good” data in AI FAQs
At Experian, we define “good data” as the balance of accuracy, consent, freshness, and interoperability. We apply rigorous governance, validation, and cleansing across every signal to ensure that AI systems learn from real-time behaviors, not assumptions. This approach turns data into a foundation for reliable, ethical, and high-performing intelligence.
Experian ensures AI-ready data accuracy through advanced cleansing, conflict resolution, and human anchoring. Experian ensures AI models rely on verified, high-quality inputs. Experian’s data is ranked #1 in accuracy by Truthset.
Yes, Experian can help brands stay compliant with privacy laws. Experian’s privacy-first governance framework integrates ongoing audits, legal oversight, and consent management to ensure compliance with all federal, state, and global privacy laws. Compliance isn’t an afterthought; it’s embedded in every step of our data lifecycle.
Experian makes AI more human by pairing innovation with human oversight to ensure AI helps marketers understand people, not just profiles. At Experian, we believe the future of marketing is intelligent, respectful, and human-centered. AI has long been part of how we help brands connect identity, behavior, and context to deliver personalization that balances privacy with performance. Our AI-powered solutions combine predictive insight, real-time intelligence, and responsible automation to make every interaction more relevant and ethical.
Marketers can activate Experian’s high-quality data directly in Experian’s Audience Engine, or on-the-shelf of our platform partners where Experian Audiences are ready to activate. Built on trusted identity data and enhanced with partner insights, it’s where accuracy meets accessibility, helping brands power campaigns with confidence across every channel.
Latest posts
Mobile marketing: What UK ad-supported streaming services can learn from Hulu
Featured stories from Experian MarketingTom 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
Tapad, part of Experian, brings global insights to arm Treasure Data’s enterprise CDP technology
Featured stories from Experian MarketingJoint 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. “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. 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. Contact us today