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Outdated data can’t predict tomorrow’s behavior.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
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.
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Originally appeared in MarketingProfs We all understand the importance of data quality. Metrics like third-party validations, match rates, and accuracy scores help us assess data quality on its own terms. Yet too often, organizations struggle to connect high-quality data with real-world business outcomes. How does data accuracy directly impact the ability to reach target audiences and campaign performance? Scale and cost: The tradeoffs of accuracy Marketers are frequently incentivized to prioritize broad reach, even at the expense of precision. This often leads to decisions driven by short-term gains—reaching more people at a lower cost. The temptation is deceptively straightforward, but deep down we know overly simplistic approaches are likely to fall short. Cheaper data solutions, even if they seem to provide greater reach, mask a deeper issue. The data may not be accurate. In fact, the initial savings from cheaper data typically result in higher long-term costs due to inefficiencies and waste that are hard to track. Unless you’re carefully evaluating your campaign results, it can be difficult to see where the inefficiencies are creeping in. The hidden cost of inaccurate data Programmatic platforms make it easy for mistargeted impressions to slip through unnoticed. Common issues include: Stale data, where consumer behaviors and locations have changed but the data hasn’t. Inactive signals, where you think a digital identifier like a device ID is addressable, but the device hasn’t been used in months. Disparate or duplicative data, where you think you’re reaching three people but in fact it’s just one person who you’re frequency bombing. Nobody likes getting the same ad over and over again. It’s like if your co-worker messaged you “hey” five times in a row. Direct mail waste is tangible: towering stacks of returned mail serve as undeniable reminders of inefficiency, not to mention the financial costs of wasted postage. Digital campaigns, by contrast, often obscure their inefficiencies within complex programmatic platforms or impression reports. It’s like watching a gust of wind scatter piles of paper into the ether—it's hard to track and quantify. As a result of these data inaccuracies, brands mistakenly assume they’re optimizing their budgets when, in fact, they’re hemorrhaging money and reaching the wrong people with a message they don’t care about. It’s a marketer’s nightmare scenario. The perceived savings from cheaper, less accurate data turn out to be an illusion. The compounding effect of inaccurate data Consider a situation where an inaccurate insight or signal prompts a brand to adjust its targeting toward an underperforming segment. Each new campaign uses this flawed data to guide its optimizations, amplifying the waste. What starts as a minor inefficiency quickly becomes a significant budget drain, funneling resources into segments that aren’t delivering. If you bake a cake but use salt instead of sugar–each new ingredient only makes the final product more unpalatable. With ad targeting, the feedback loop created by optimization tools exacerbates this issue. Decisions are made based on misleading metrics, perpetuating flawed strategies and causing brands to over-invest in underperforming tactics. Without scrutiny, brands risk building entire strategies on fundamentally flawed insights. The value of investing in the highest quality data With accurate data, brands can zero in on the right audience. This is particularly critical in lookalike modeling. By enriching customer files, brands can understand the nuances of who their best customers are—and how to find more of them. Tailored messaging, based on a consumer’s actual behaviors and interests, deepens engagement. Conversion rates rise as campaigns meet customer needs. Accurate data also provides insights that aren’t immediately obvious. Sometimes, seemingly minor behaviors or unexpected demographic segments can emerge as key drivers of conversions. It’s like finding the one avocado at the grocery store that’s perfectly ripe…you’re well on your way to delicious guacamole. To truly grasp the impact of data accuracy, traditional validation metrics such as third-party assessments (e.g. Truthset) should be paired with other performance indicators that show you how well data reflects actual consumer behavior. With this complete picture in view, the choice is obvious: quality data is worth the premium. Acting on what the data tells you Collecting accurate data is just the first step—the real challenge is having the ability to act on what it reveals. Many brands enter campaigns with preconceived notions about their target audience, only to find the data tells a different story. Ignoring these insights stifles growth. The value of data-driven marketing lies in trusting the insights and adapting strategies accordingly. How to test if your current approach is working We understand that changing data providers can feel daunting, but there are low-lift ways to explore whether your current approach is truly delivering. Test the waters by selecting an Experian Audience on a major platform or building a custom audience to see how your campaigns perform. Alternatively, collaborate with Experian’s insights team to gain a deeper understanding of your audience and determine if it aligns with your current strategy. It’s a small step that could lead to a big impact. Get in touch with our team today Latest posts
In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Brian Chisholm, SVP of Strategic Partnerships at OpenX. About OpenX OpenX is an independent omni-channel supply-side platform (SSP) and a global leader in supply-side curation, transparency, and sustainability. Through its 100% cloud-based tech stack, OpenX powers advertising across CTV, app, mobile web, and desktop, enabling publishers to deliver marketers with improved performance and dynamic future-proofed solutions. With a 17-year track record of programmatic innovation, OpenX is a direct and trusted partner of the world’s largest publishers, working with more than 130,000 premium publisher domains and over 100,000 advertisers. As the market leader in sustainability, OpenX was the first AdTech company to be certified as CarbonNeutral™ and third-party verified for achieving its SBTi Net-Zero targets. Learn more at www.openx.com. Collaboration solves programmatic challenges Could you share the story behind the partnership between OpenX and Experian and how this collaboration differs from typical data-provider/DSP or SSP relationships in the market? What unique challenges in programmatic advertising does this partnership solve? OpenX first partnered with Experian in 2019 when we were building the industry’s first data-driven supply-side curation platform. Being the only SSP with a proprietary people-based identity graph (further enriched by Experian) gives OpenX a unique set of capabilities that are only growing in value in the market. We are seeing retail media networks, large agency planning platforms, and indie and specialty shops lean into OpenX’s tools to match, activate, and measure people-based audiences through our robust curation platform and premium supply. Enhancing campaigns with data enrichment How does combining Experian's marketing data with OpenX's technology create tangible benefits for advertisers, agencies, and publishers? Last year, we expanded our partnership with Experian to enrich our digital IDs with Experian’s Digital Audiences, essentially making Experian data available directly to marketers across all OpenX supply and formats, including CTV. For marketers, this direct integration increases both match and activation rates. Meaning, not only do we match more of the starting audience universe to our system, we then provide more opportunities to identify and transact on those users in the bidstream. The result is greater reach for buyers even in previously unaddressable environments like Safari or mobile web – and publishers benefit from the increased addressability OpenX provides their supply. Delivering impactful inventory solutions OpenX has been enhancing its curation offerings beyond just providing curated marketplaces. Could you describe the strategic shift you’re making in how you package and deliver inventory? At OpenX, we have a broader and more dynamic view of curation. It’s not just about gathering data or bundling inventory; it’s about layering on identity-based precision, enabling the targeting of the right audiences with premium, brand-safe inventory for our clients. We saw the value of curating inventory and audiences on the supply side early on. We started by building capabilities for our own exchange and then found that our approach created tremendous value for data owners and marketers alike. Over the past five years, we’ve been continuously investing our curation platform capabilities to super serve those partners. As a result, we have what we think is by far the most robust and flexible platform in the market. We can match and integrate with any kind of data, curate supply at a granular level, activate audiences and help measure outcomes in multiple ways. We also provide turnkey integrations to third-party platforms. Balancing customization with scalability in deals There's often tension between customization and scalability when it comes to curated deals. How does OpenX strike the right balance to meet varied advertiser objectives while ensuring operational efficiency for publishers? Truthfully, we’re not finding that scale suffers with curation. We currently have 237 million monthly active users in our exchange that we can match and activate curated deals against. That’s a unique claim for an SSP, and we back it up with our identity graph. This directly benefits our publishers who see a 20% increase in overall bid density and a 118%+ increase in win rate for curated deals vs. open market. Data-driven curation done on the supply side offers efficiency and drives results for buyers, while publishers are able to activate their own first-party data programmatically, increase their monetization, and maximize the value of their inventory. As the industry continues to adapt to a privacy-first, consent-based ecosystem, data-driven curation will play a key part in ensuring both sides of the marketplace continue to thrive. Driving results with CTV curation Connected TV is arguably the most dynamic channel in programmatic right now. How do curation improvements accelerate more precise or outcome-based targeting in CTV environments? I want to take this a step further and say that biddable is the future of CTV. Not only does biddable enable advertisers to purchase closer to campaign activation, it gives buyers the option to curate deals, flexibility, addressability and ease of transacting at will. No minimums, no commitments. Our CTV strategy has been centered around combining flexibility, efficiency, and real-time optimization capabilities with access to premium, direct, glass-on-wall inventory. TV by OpenX, powers the direct activation of curated audiences at scale through data-driven, contextual, attention, and sustainability offerings. What does this mean for buyers? Advertisers can choose from any one of OpenX’s 250+ data partners, including Experian, to target an audience via CTV inventory using OpenX’s cross-platform identity graph. This setup allows buyers to increase scale and optimize toward their desired campaign outcomes via their preferred DSP. The focus on inventory quality and scale combined with advanced targeting curation provides a key driver of performance in CTV. Identity resolution for better CTV measurement In a channel as fragmented as CTV, measuring performance can be complex. What role does identity resolution play in better measurement and attribution? How do Experian's identity capabilities integrate within your platform to drive measurable outcomes? We talked about the value of audience targeting via curation above. Another critical driver is our ability to power true closed-loop measurement for advertisers or partners like retail media networks. OpenX is able to provide automated log-level reporting via BIDS, which includes exposed IDs from our proprietary ID graph back to our partners in near real time. This closed-loop attribution enables partners to measure real-world outcomes like ROAS, conversion rates and incrementality. Insights and learnings from data can then be used to make optimizations mid-campaign, to further improve performance. Measurement starts with having a strong foundation to identity resolution – which Experian helps us achieve. Tailoring audience strategies in the auto sector The automotive vertical demands highly specific audience insights—everything from in-market signals to lifestyle and aftermarket service and parts data. How does the Experian–OpenX partnership enhance audience strategies in auto? Experian’s deterministic data, combined with the OpenX identity graph, empowers buyers with identity tools to create targeted audience segments of likely auto intenders. For verticals that have high customer acquisition costs like auto, these insights are particularly valuable, as buyers often struggle to identify their audiences at scale in environments that drive campaign performance. Experian’s automotive data is one of our most requested audiences from buyers. We match Experian’s high-quality data directly to our platform, often leveraging Experian’s IDs, which leads to greater scale and fidelity. In addition, our platform can curate supply to a granular level to drive results for buyers. Complying with evolving privacy regulations With data privacy regulations multiplying—like GDPR, CCPA, and others—how does OpenX’s direct connection with Experian ensure responsible data usage and compliance? At OpenX, we don’t see privacy regulations as a challenge but rather an opportunity. Instead, it’s a key differentiator for us. We’ve had a strong focus on data and identity since 2017, and we believe that if you’re talking about these topics but not talking about privacy, you’re missing an important piece of the equation. Regardless of the environment — CTV, mobile, app, or web — in today’s privacy-focused world, success in data and identity is inseparable from a commitment to privacy. We support this obligation with dedicated leadership that helps our partners navigate evolving global regulations, including critical areas like child-directed content under new laws from Australia to Maryland. Thanks for the interview. Any recommendations for our readers if they want to learn more? To learn more about our solutions and partnership opportunities, visit the OpenX website or contact your Experian account representative to schedule your free match test. Contact us About our expert Brian Chisholm, Senior Vice President of Strategic Partnerships, OpenX Brian Chisholm is the Senior Vice President of Strategic Partnerships at OpenX, where he spearheads the curation, data, and identity efforts. He and his team have been instrumental in building out OpenX’s industry-leading curation platform and partnerships. With more than two decades of experience in digital media, Brian has developed partnerships that leverage and expand OpenX’s core technology assets and deliver material value for the company’s buyer, publisher, and platform partners. Before joining OpenX, Brian held senior roles at innovative startups and digital stalwarts, including Overture/Yahoo, SpotRunner, and Apptera. Latest posts

Media is changing and the sell-side is stepping boldly into the identity jungle—a dense and complex environment where privacy regulations, evolving signals, and advertiser expectations make every step an adventure. It’s not about survival; it’s about navigation. Experian’s identity solutions offer sell-side players like connected TV (CTV) publishers, supply-side platforms (SSPs), and open web publishers a roadmap to deliver rich consumer insights and build addressable audiences. Here’s how different stakeholders are navigating the landscape—and why having the right sherpa makes all the difference. CTV publishers: Turning anonymous viewers into addressable audiences The surge in CTV viewing, fueled by the shift from linear TV to digital streaming, has made it a critical channel for marketers—but navigating the identity jungle isn’t the same for every platform. For major players like Netflix, Hulu, and Max, where users log in to access content, the challenge isn’t identifying viewers but enriching their profiles. By layering behavioral and purchase data onto these profiles, platforms can go far beyond insights on media habits to create highly attractive audience segments for marketers to target. For free ad-supported streaming TV (FAST) platforms like Tubi, where logins aren’t required to watch content, the jungle is denser. These platforms have unknown viewers they can’t identify, which limits their ability to know who the customer is and reach them with relevant ads. By utilizing identity solutions, FAST platforms can turn unknown users into addressable audiences, resolving viewership at the household or individual level. This transformation allows for personalized, relevant ads that increase engagement, boost inventory value, and unlock new revenue opportunities. How Experian can help Imagine a CTV platform struggling with anonymous viewers on its FAST channels, where users tune in without logging in. Using Experian’s household-level data, the platform can convert these anonymous sessions into known, addressable audiences. This allows for personalized, precisely targeted ads that boost viewer engagement and significantly increase ad inventory value. For platforms with logged-in users, Experian takes it further by enriching profiles with behavioral and purchase data. This deeper understanding enables even more precise ad targeting, stronger advertiser demand, driving higher CPMs, and ultimately greater revenue growth. With Experian, CTV publishers turn anonymity into opportunity and build meaningful connections across their audience. SSPs: Delivering premium audiences across channels SSPs are under pressure to differentiate themselves in a competitive marketplace. The days of simply aggregating inventory are gone; today, SSPs must prove their worth by delivering premium value to advertisers and publishers. Addressability is a cornerstone of this strategy. By combining demographic and behavioral data with offline and digital identifiers, SSPs can build and deliver high-quality audiences across various channels. At the same time, supply path optimization (SPO) is taking center stage. SPO acts as a machete in the underbrush, clearing out unnecessary intermediaries and reducing costs while creating direct, transparent pathways to premium, brand-safe inventory. When paired with identity data, SSPs can offer buyers precisely targeted audiences, more premium inventory and a streamlined supply path. How Experian can help Imagine an SSP striving to stand out in a crowded market by delivering premium value to advertisers and publishers. Experian’s Digital Graph and Marketing Attributes empowers SSPs to enhance addressability and audience insights by combining digital identifiers with demographic and behavioral data. This enriched understanding of an audience leads to greater reach for the buy side and higher revenue for publishers. Additionally, these capabilities enable SSPs to form exclusive inventory partnerships, positioning them as go-to sources for high-value audiences. With Experian’s solutions, SSPs can differentiate themselves by delivering superior targeting, deeper audience understanding, and streamlined supply paths that drive measurable results for advertisers and publishers alike. Open web publishers: Promoting addressability and audience understanding For open web publishers, programmatic advertising has created opportunities—and challenges. Inventory commoditization makes it difficult to stand out and often leads to suppressed CPMs. To compete, publishers need data and identity solutions that enable them to differentiate their inventory and reveal the true value of their audience. Similar to FAST publishers, the jungle for open web publishers often starts with anonymous visitors. Recognizing and identifying all their users allows publishers to present advertisers with rich audience insights that lead to more efficiently targeted ads. Publishers are now equipped to fight commoditization and maximize revenue potential. How Experian can help Imagine an open web publisher striving to deliver more value to advertisers in a crowded programmatic landscape. Experian’s identity solutions help publishers turn anonymous traffic into addressable audiences, enabling them to understand their visitors and provide richer audience insights. This allows advertisers to target ads more effectively, increasing engagement and driving higher ad revenue. With the ability to recognize their visitors and offer actionable data, publishers can break free from commoditization. Experian empowers publishers to maximize their inventory’s value and help marketers drive results. Turning identity challenges into a strategic advantage The identity jungle can feel daunting, but for those willing to explore its opportunities, the rewards are immense. Sell-side players—CTV publishers, SSPs, and open web publishers—have the tools to not just navigate but thrive in this dense and dynamic ecosystem. By embracing data-driven strategies and identity solutions, they can uncover new paths to audience engagement, inventory value, and revenue growth. Get started today Read our companion article to learn how the buy-side is approaching data and identity challenges. Read now Contact us Latest posts







