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:
1. Accurate
Verified and anchored in real human identity.
2. Fresh
Continuously updated to reflect today’s consumers.
3. Consented
Collected and governed transparently.
4. Interoperable
Easily integrated across platforms through a secure, signal-agnostic identity spine, enabling seamless data activation.
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Outdated data can’t predict tomorrow’s behavior.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:
Operate with clear data principles grounded in transparency and truth
Build consent and compliance into every workflow
Keep data accurate, current, and interoperable
Pair automation with human oversight
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
VP, Product, Experian
Budi Tanzi is the 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
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Dextro clients to achieve increased accuracy in cross-device consumer measurement and engagement NEW YORK, Feb. 6, 2017 /PRNewswire/ — Dextro Analytics, a pure play analytics company that harnesses the power of human learning and artificial reasoning to drive more informed and effective consumer marketing, is partnering with Tapad, the leading provider of unified, cross-screen marketing technology solutions and now a part of Experian. The deal is effective immediately and the scope of the partnership covers North America. Additional terms were not disclosed. Leveraging Tapad's privacy-safe Device Graph™, Dextro Analytics will be able to significantly bolster its insight engine to decode complex customer journeys. Armed with more relevant, actionable insights, marketers can use Dextro's cross-screen, closed-loop measurement systems to reach and engage the right customer at the right time through the right channel. "Being able to accurately map consumer preferences, behaviors and journeys in a privacy-safe and unified way across devices is still one of the biggest pain points for marketers," said Ajith Govind, co-founder of Dextro Analytics. "At the same time, this partnership engages customers with the right message at the right time." "Detecting latent patterns and signals, and tracing backward- and forward-looking behavioral characteristics, are keys to sustaining a competitive advantage in a crowded space," said Manmit Shrimali, co-founder of Dextro Analytics. "With the proliferation of data and devices, connecting the dots is of paramount importance." "Dextro is solving some of the biggest challenges in analytics today," said Pierre Martensson, GM of Tapad's data division. "Our partners consistently see notable improvements in both budget allocation and device optimizations after integrating with the Tapad Device Graph, and I have every confidence that Dextro will be among them." For more information about Dextro Analytics' revolutionary approach to using human learning and artificial intelligence algorithms to solve business and analytical problems, please visit http://dextroanalytics.com/. For more information about Tapad's cross-platform advertising solutions, please visit https://www.experian.com/marketing/consumer-sync. Contact us today
NEW YORK & LOS ANGELES / BUSINESS WIRE / Jan. 30, 2017– Tapad, part of Experian, and Rubicon Project (NYSE: RUBI) announced today a new global partnership offering a unified, cross-device campaign delivery solution within an automated advertising marketplace. Tapad is the leading provider of unified, cross-screen marketing technology solutions and Rubicon Projectoperates one of the largest advertising marketplaces in the world. The Tapad Device Graph™, which enables buyers to expand their high-value display data signals to associated mobile devices, will be integrated across Rubicon Project’s leading advertising exchange and Orders platform, significantly improving consumer mobile reach. The new global partnership will empower Buyers within Rubicon Project’s exchange to find and engage audiences across their entire digital experience. Rubicon Project operates one of the world’s largest mobile exchanges connecting to approximately 1 billion unique mobile devices globally. “We’re excited to partner with Tapad to continue to provide our customers the very best data for managing their advertising businesses,” said Harry Patz, Chief Revenue Officer, Rubicon Project. “Cross-device delivery is crucial for buyers today with more than 81% of internet users currently relying on more than one device for digital access[1]. Through our partnership, buyers will be able to extend their desktop private marketplace campaigns to mobile, allowing them to find and engage their audience across devices, anywhere in the world. The net result will also benefit sellers; the increase in mobile reach will better position publishers and app developers to strategically capitalize on their inventory, ultimately increasing bid rates and mobile revenue across the board.” “Our partnership with Rubicon Project marks the first time advertisers and publishers alike are able to use cross-device solutions at significant scale outside of Google and Facebook,” said Pierre Martensson, GM of Tapad’s Data Division and APAC. “Our Device Graph will help Rubicon Project’s advertisers make more informed buying decisions and find the audiences who matter most.” Barry Adams, VP of Commercial Development at Bidswitch, said, “As digital advertising moves away from desktop and increasingly toward a mobile-first model, cross device data becomes critical to finding consumers. The rich data buyers will now be able to leverage at scale through the Tapad and Rubicon Project integration will enable us to provide a state-of-the-art cross-screen solution for the 150+ buying platforms that use our service, and the tens of thousands of advertisers they represent.” For more information about Rubicon Project’s inventory, please visit www.rubiconproject.com. For more information about Tapad’s cross-platform advertising solutions, please visit https://www.experian.com/marketing/consumer-sync. Contact us today