Loading...

What “good data” really means in the age of AI

Published: October 29, 2025 by Budi Tanzi, VP, Product

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:

Target icon

1. Accurate

Verified and anchored in real human identity.

Growing plant icon

2. Fresh

Continuously updated to reflect today’s consumers.

Shield icon

3. Consented

Collected and governed transparently.

Interoperable icon

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.

An "x" icon represents inauthentic data and a checkmark icon represents authentic, reliable, data verified by third-party sources, like Truthset

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.

What does privacy-first identity look like now?

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.

Navigating complexity in digital advertising

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.

Index Marketplaces use cases explained

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:

Build and settings icon

Operate with clear data principles grounded in transparency and truth

Check mark inside a lock icon

Build consent and compliance into every workflow

Star inside a scalloped circle icon

Keep data accurate, current, and interoperable

Shaking hands icon

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

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.


About the author

Budi Tanzi headshot

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

What defines “good data” according to Experian?

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.

How does Experian ensure AI-ready data accuracy?

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.

Can Experian help brands stay compliant with privacy laws?

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.

How does Experian make AI more human?

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.

Where can marketers access Experian’s high-quality data?

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

Loading…
It’s beginning to look a lot like 2022 holiday campaign planning season

While the weather outside is frightfully hot this summer, it’s never too soon to start thinking about the holidays – and consumers are more likely to start their holiday shopping early this year. To get you ready for the 2022 holiday shopping season, we looked back at consumer shopping trends from 2019-2021. What did we learn and what trends do we expect to see this year? Let’s look back. A look back Over the last three years, average consumer spending has increased. Record 2021 holiday sales came amidst a wave of COVID-19 cases, rising inflation, labor shortages, and supply chain problems. Despite these challenges, consumers continued to let it snow when it came to spending during the holiday season.  2022 has been a year with its own economic roadblocks – the war in Ukraine, rising gas prices, and recession concerns. Yet 2021 was a banner year for holiday sales despite its obstacles, and we predict similar trends in the 2022 holiday shopping season. What trends do we expect to see for the most wonderful time of the year?  2022 predictions While consumer spending remains strong, changing economic conditions continue to shape shopper behavior. To develop our predictions for 2022 holiday shopper behavior, we focused on four key areas: When consumers shop Where consumers shop What consumers purchase Consumer media preferences Now, let's make our holiday campaign planning checklist and check it twice. When consumers shop Chestnuts roasting on an open fire. Jack Frost nipping at your nose. Those aren’t the only ways to know when the holiday season has begun. Shoppers tend to spread out their holiday purchases across multiple months and were more likely to start shopping earlier. To understand holiday retail sales trends from 2019-2021, we identified four shopper segments:  Early Shoppers Traditional Shoppers Late Shoppers Random Shoppers What differences did we see between our four shopper segments? Early shoppers made almost half of their holiday purchases in October Random shoppers spread out their holiday purchases evenly across multiple months Late shoppers made almost half of their holiday purchases in December Traditional shoppers made almost half of their holiday purchases in November While December continues to dominate holiday sales, October has started to gain traction over the last three years, and November remains a core shopping month. Everybody knows a turkey and a mistletoe help to make the season bright but knowing when your consumers are most likely to shop will help deck your campaign planning halls. Jingle bell rock your way to holiday sales that shine bright with our tips to prepare for earlier shoppers:  Offer targeted promotions earlier in the shopping season Target your ads based on the shopping habits of your customers throughout the season Where consumers shop There’s no place like home for the holidays but most consumers aren’t shopping from home. Despite the rise in online shopping, brick and mortar locations continue to dominate holiday sales. October is the most popular month to take a one-horse open sleigh to a store, and consumers gather around the fire to online shop in November and December.     With most shoppers preferring to shop in-store, and e-commerce popularity growing, it’s critical to think about bridging the gap between your online and offline presence for the consumer. Are you offering multiple paths to purchase with solutions such as BOPIS (Buy Online, Pickup In-Store)?  Go down in history like Rudolph with our tips to prepare for more in-store shopping:  Focus on in-store shopping experience technology (self-checkout, VR, QR codes, scan to pay, etc.) Offer multiple paths to purchase to connect your online and physical presence through methods such as BOPIS (Buy Online, Pickup In-Store), BORIS (Buy Online, Return In-Store), and ROPO (Research Online, Purchase Offline), etc. What consumers purchase When it comes to holiday gifts, for some, only a hippopotamus will do. Compared to pre-pandemic, shoppers are spending more at apparel stores and mass retailers. Spending at specialty retailers, warehouse clubs, and on office, electronic, and games is almost the same across holiday and non-holiday shopping months. Time for toys and time for cheer may be year-round, but are there any correlations between where consumers shop (online vs. in-store) and what they purchase? Our data found that shoppers who bought from mass retailers were more likely to shop online, while shopping for apparel and warehouse clubs was done at a physical store location.     Put this insight to the test by thinking through how you can target your consumer based on where they shop in-store and online. You just might find that hippopotamus at a brick and mortar mass retailer location!  Consumer media preferences Do you see what I see? While we are seeing a shift to digital media channel preference, consumers still engage with traditional media channels like direct mail and the traditional newspaper. Successfully connecting with your customers involves capturing their attention through the right channel. We found that our four shopping groups prefer a mix of traditional and digital media channels. What does your media channel mix look like?  Hark! The herald angels sing of ways to adapt to the change in holiday spend and media preferences:  Align your activation efforts to digital, but don't forget about traditional channels Expand your targeting and activation focus beyond in-store vs. online Download our new 2025 report For a deeper dive into our predictions and actionable insights you can use to take your holiday campaign planning home for the holidays, download our new 2025 report, in collaboration with GroundTruth. Experian data can help you refine your content and creative strategy to achieve maximum ROI for each campaign across all your channels. Download now Get in touch

Aug 23,2022 by Experian Marketing Services

How to Adjust to the New World of Advertising

Fluctuation in consumers' behaviors and preferences during the pandemic has prompted a shift in the practices and patterns that we are accustomed to. Powerful market forces are emerging as society builds a new normal, forcing marketers to rethink their strategy, activation, and measurement.   It is important for marketers to understand the forces that influence the industry, and to learn about alternative approaches that can be applied to help reach their goals.   In our recent webinar, ‘How to Adjust to the New World of Advertising,’ Experian’s Chris Feo and guest speaker Tina Moffett, Principal Analyst at Forrester Research, lead an in-depth discussion of the market dynamics and developments guiding us to this new era of advertising. They talked about:  The pandemic changing consumer behavior  Emerging media channels   Data deprecation    The pandemic and increased media consumption The pandemic caused seismic shifts in consumer behaviors and business operations. Work from home became the norm, consumers made drastic changes in their routines, and businesses had to adjust to new operating models as local economies shrank and supply chains strained. As stay-at-home orders were put into effect, consumers increased their media consumption drastically as more time was spent at home in front of their devices. According to Forrester, by June 2020, 48% of US online adults subscribed to at least one streaming service, while 34% had signed up for multiple.  Forrester contends that:  Social and online video/OTT will grow fastest among other categories of ad spend   Connected TV outpaces other video advertising channels  55% of consumers plan to continue watching movies at home rather than in theatres after the pandemic    Data deprecation   The ways that marketers can personalize content and measure the effectiveness of campaigns is changing with data deprecation. Consumer preferences, regulations, and technology providers are evolving the way advertisers understand consumers, causing changes to existing identity-based marketing strategies. According to Forrester, 66% of marketers are investing in first-party data collection strategies to adapt to these market forces.    Marketers need to adjust   Demand for a new advertising approach    Changes in consumer behavior, evolving media consumption patterns, and data deprecation have marketers looking at new approaches to targeting and measurement. However, with the future uncertain in many of these areas, marketers need to test and experiment to determine which approach is best for them in particular use cases.     Shifting to a new world of experimentation   Advertisers need to start by assessing their current environment to determine where they have exposure today, which methods of identification they are using, and how those channels may be impacted by the market forces outlined earlier. From there, they need to start asking themselves how they can assess identity in the future or if there is another way to approach advertising in that specific channel.   There are specific areas where marketers can look to make investments in terms of experimentation:  Adoption of cleanrooms to support analytics and audience targeting Investment in first-party data to overcome the issue of data deprecation Shifting to a value-based, omni-channel advertising mindset to address customers’ needs Investment in data-savvy resources to manage media insights Adoption of consistent cross-platform advertising metrics and currencies to inform better planning If you missed our recent webinar ‘How to Adjust to the New World of Advertising,’ you can listen to the full discussion here.  Get in touch

May 04,2022 by Experian Marketing Services

Leveraging hashed email for the holiday season

Hashed Email is a privacy-safe digital identifier that can further enrich and expand the functionality and utility of The Tapad Graph with access to Tapad + Experian’s universe of email data. This provides maximum coverage for targeting and measurement when combined with household and individual IDs such as Cookies, MAIDs, CTV IDs, and IP Addresses. Gain back a clearer view Recent data from DMA shows that 51% of people have held the same email address for over 10 years. Email address data by its nature is authenticated and reliable due to its longevity. When leveraging Hashed Email as an extended functionality of The Tapad Graph, we are able to link on average 5 email addresses to each individual, reaching up to 90% of households across the US. Hashed Email expands the customer view by adding new email address identifiers into The Tapad Graph that associate with traditional digital IDs and cookie-less IDs emerging in the marketplace. Reduce fragmentation; and instead of viewing the emails as multiple customers, with Hashed Email they can be viewed as one user profile. When enabled, clients who wouldn’t traditionally have access to first-party customer emails are able to associate and link privacy-safe emails to individuals and their households. Brands and retailers can use Hashed Email to extend these linkages across offline purchases associated with each email; connecting traditional digital identifiers between walled gardens, activation in programmatic media buys, and addressable TV. With the holiday season quickly approaching, access to Hashed Emails will instantly increase scale, connectivity and improve measurement when efficiency, personalization and holistic attribution are pivotal to marketing strategies. Let’s visualize how quickly the customer journey can become fragmented when email addresses that belong to the same person are not associated. Mary has 3 email addresses that she frequently uses. One for social media accounts Email ID 1, one for shopping accounts Email ID 2, and another for work Email ID 3.  Mary is a brand loyalist to a top national retailer and whenever there is a new season, there is a high likelihood that she will purchase the latest seasonal decor from that store. She recently did some holiday shopping in-store where she purchased nearly the whole holiday line. Email ID 2 was used to send her a receipt. However, Mary annoyingly receives the store's ads on Facebook for holiday decor that she had already purchased. This is because the retailer has not yet identified that Email ID 1 and Email ID 2 belong to the same consumer. If the retailer were to leverage Hashed Email, they would be able to identify that both email addresses used belong to Mary. This association connects her multiple email addresses together, enables her offline purchases to sync with her online activity, and helps to determine the most accurate ROAS. Hashed Email is a cookie-free added view into consumer behavior for control over messaging and for measurement. When leveraging it’s possible to report back across all channels and devices in a universal format to know when and how conversions are taking place. Don't leave valuable data on the table Hashed Email has use cases beyond reducing wasted media impressions. Hashed Email’s full capabilities extend to campaign measurement and attribution modeling. When utilizing The Tapad Graph combined with Hashed Email, know from the first touchpoint to the last where your customers are engaging. But more importantly, know where households and the individuals inside of those households are converting across all of their digital devices, by using traditional digital IDs, cookie-less IDs, and Hashed Email to associate, measure, and correlate online and offline purchases. Imagine what your campaigns could look like this holiday season if you expanded your graph with up to 5 additional IDs per household. This impact could be a game-changer to scale this holiday season. Hashed Email is a reliable cookie-less digital identifier that expands your customer universe that connects online and offline activity while improving the customer experience and reducing wasted media spend. Enabling Hashed Email for the holiday season is not an opportunity that should be passed on. Where do you sign up, you ask? Get in touch

Nov 10,2021 by Experian Marketing Services

Subscribe to our newsletter

Enter your name and email for the latest updates

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

About Experian Marketing Services

At Experian Marketing Services, we use data and insights to help brands have more meaningful interactions with people. As leaders in the evolution of the advertising landscape, Experian Marketing Services can help you identify your customers and the right potential customers, uncover the most appropriate communication channels, develop messages that resonate, and measure the effectiveness of marketing activities and campaigns.

Visit our website

Subscribe to our newsletter

Stay up to date on the latest industry news and receive expert tips from our marketing experts.
Subscribe now!