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Outdated data can’t predict tomorrow’s behavior.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 AdTech 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.
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
Distribution via LiveRamp enables seamless cross-device customer experiences through more platforms NEW YORK, Nov. 15, 2016 /PRNewswire/ – Tapad, now part of Experian and the leading provider of unified cross-device marketing technology solutions, today announced an expanded partnership with LiveRamp™, an Acxiom® company and leading provider of omnichannel identity resolution, to make the proprietary Tapad Device Graph™ accessible beyond Tapad-hosted direct integrations. Through LiveRamp, Tapad's Device Graph Access now extends to more than 400 ad tech and mar tech platforms. Tapad's Device Graph™ enables marketers to understand, monetize and measure consumer engagement across all digital channels, and Tapad's unified consumer view is recognized as one of the most accurate, scalable cross-device solutions in the market today. Through the expanded partnership with LiveRamp, the Tapad Device Graph can be distributed to the hundreds of platforms used to reach consumers on digital channels and measure campaign performance – even as devices are added daily to Tapad's extensive graph. "Increasingly, marketers want access to cross-device targeting and measurement capabilities within their preferred platforms," said Anneka Gupta, chief product officer of LiveRamp. "Our expanded partnership makes it easy for marketers to access Tapad's graph through the rapidly growing set of integrations available in our partner ecosystem." This is the latest of several initiatives between the two technology platforms designed to make the integration of cross-screen platforms seamless, privacy-safe and easy to use for dynamic and engaging marketing efforts. "During the past year, Tapad has expanded its global presence and rapidly grown its data business – Tapad Coral – doubling the number of companies integrating our device graph into their platforms and growing our annualized run rate by 210%," said Pierre Martensson, GM of Tapad Coral and APAC. "Our expanded partnership with LiveRamp positions us to meet the increased demand for Tapad Device Graph Access and enable new platforms to apply our graph with unprecedented speed." Contact us today
Cross-Screen Pioneer Explores the Power of Connected Cars as a Vehicle for Customer Engagement LAS VEGAS, NV — (October 26, 2016) –Kate O’Loughlin, GM of Media for Tapad, addressed the J.D. Power Automotive conference audience today in Las Vegas, NV. With more than 1,400 participants representing every facet of the automotive marketing profession, the conference has become the industry's leading marketing event. Bringing the unified, cross-screen perspective to the stage, O’Loughlin discussed the vital role of connected cars in the consumer engagement process. She is a founding member of Tapad which launched the world’s first cross-screen marketing technology in 2010. Tapad was acquired by the Telenor Group early in 2016. Key points from O’Loughlin’s J.D. Power 2016 address included: The marketers who deliver relevant and engaging content in a privacy-safe setting will be in the strongest position to navigate the proliferation of connected devices, including the connected points in cars. As automakers innovate the technology in cars, marketers need to be prepared for the size and diversity of data available for understanding consumers. It’s going to be increasingly difficult to wade through the data, so now is the time to build a solid framework for understanding the person behind the data. Marketers who evolve — and take a holistic approach — to their campaign measurements will achieve marked improvements in efficiency and an enhanced understanding of their core audiences. Actionable brand engagement metrics like Viewable Exposure Time (VET) will continue to overtake traditional advertising performance metrics. VET evaluates the optimal amount of time an ad is present on a screen to incite consumer action. In early testing by Tapad, campaigns that employ VET see conversion rate performance improvements from 13 to 60%. The consumer-centric technology solutions of the future need to be as scalable as they are affordable. Learn more about Tapads’ recommended Viewable Exposure Time metric contact us today! Contact us today
NEW YORK, Sept. 28, 2016 /PRNewswire/ – Tapad, the leader in cross-device marketing technology, today announced a new metric for cross-device marketers, Viewable Exposure Time (VET). Viewable Exposure Time measures across screens and ad formats, identifying the optimal amount of time a consumer spends with an ad before they take action. The announcement coincides with Unify Tech '16, Tapad's third-annual cross-device summit during Advertising Week NY. Frequency caps are currently used to ensure that dollars aren't wasted on redundant ads. Viewable Exposure Time evolves the frequency capping approach to include accelerating a consumer's ad exposure rate up to the optimal time spent with the brand. VET is used in affinity, digital transaction and offline purchase models as a key indicator of marketing budget well-spent. Beta users of VET span every vertical, though interest is especially high from CPG, Automotive, Telecommunications and Retail. Viewable Exposure Time unifies and upgrades marketers' predictors of advertising success by leveraging cross-screen engagement across digital and television, with vendor-agnostic viewability scores for video, rich media and display. "Today's current measurement options, like click-through rate (CTR) and TV gross ratings points (GRP) tell an incomplete story," said Tapad GM of Media Kate O'Loughlin. "Tapad is focused on measuring what really matters to marketers – building an efficient connection with a customer. Innovation in metrics was long overdue." More than just a measurement tool, Tapad also provides clients with VET activation. Factoring in time spent with ads in viewable seconds and minutes, these analytics inform marketers about which audiences are underexposed, enabling them to adjust campaigns and deliver according to optimal viewable exposure time. This effectively increases conversion rates at the lowest cost. Contact us today