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Outdated data can’t predict tomorrow’s behavior.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
Experian kicks off the AdTech year at CES What better way to jump-start start 2023 than a trip to Las Vegas for the Consumer Electronics Show (CES). Our team was thrilled to participate in this annual kick-off with the AdTech community. The uniqueness of what CES has become for our industry can be defined as the intersection between technology brands, digital, television, and AdTech. CES creates the space necessary for marketing and advertising leaders to collaborate to drive rewarding outcomes for the year ahead. Our goal in attending CES was to connect with our partners, clients, and industry leaders to build relationships, form strategic plans, and listen. The opportunity to learn about our industry’s challenges and goals enables us to develop initiatives, drive success, and support our clients and partners. Keep reading for our 2023 CES AdTech recap. “I have been to CES too many times to mention the number; this year was as energetic, collaborative, engaged, and effective as I can ever recall. Our presence was first-class and meticulously organized, which made our interactions as robust as possible. It's a team effort, and we appreciate all the work that goes into this event. “ – Greg Koerner, Vice President of Digital Advertising Sales Our CES AdTech recap Supporting publishers and advertisers is top of mind for us. Many of our conversations focused on the technologies we deliver or collaborate with our partners to provide. Clean rooms and activation were two common themes throughout our discussions. Clean rooms Consumer privacy, regulatory requirements, and data deprecation are driving the AdTech industry to talk about and explore clean rooms. There’s a need to address data collection, storage, analysis, and sharing. Clean rooms are a potential solution that can standardize data and address interoperability issues. Activation In 2023, we predict that digital activation will increase. We continue to see increased demand for environments where alternative identifiers are being transacted (like demand side platforms and video). Social platforms will continue to experience volatility and advertisers will shift their focus to demand-side, video, and supply-side platforms. Download our 2023 Digital audience trends and predictions report to learn where you should activate your audiences in 2023. We can help plan your 2023 digital activation strategy. How we support clean rooms and activation Our Consumer Sync and Consumer View products support these areas and can help you understand people better–so you and your customers can connect with confidence. What is Consumer Sync? Consumer Sync, our consumer identity product, enables signal agnostic collaboration across marketers and technologies, bringing together digital devices, IDs, households, and attributes. Consumer Sync’s Resolution and Collaboration solutions can help you gain a better understanding of your consumers and make identities actionable in any environment. What is Consumer View? Consumer View, our data discovery product, offers marketers a robust, privacy-first understanding of their customers and prospects. Grounded in consumer identity, Consumer View provides the data foundation to engage consumers where, when, and how they want. Consumer View’s Audience and Attribution solutions provide expansive coverage so that you can fill in the gaps to better understand your prospects. Additionally, our collaborative efforts with strong partnerships across the clean room ecosystem and with our activation partners help our clients serve the best ads, at the best times, to the right audience. “CES is back and was a great way to kick off the new year! We were able to meet with a high volume of clients to eagerly talk about building new solutions for the TV space. We are excited to see where these conversations lead in the next few months.” – Ali Mack, Senior Director of TV Advertising Sales Let’s navigate what’s new in our industry, together We can help you connect with your consumers in innovative, impactful ways. Contact us to continue the conversation and learn more about our Consumer Sync and Consumer View products. We can help you take advantage of the opportunities on the horizon. Get in touch
2022 was a year of adjustment. Consumers adjusted to a post-pandemic world and returned to pre-pandemic shopping behaviors. Consumers adjusted their budgets as the price of goods skyrocketed, as a result of high inflation. To combat inflation, the U.S. Federal Reserve adjusted interest rates. This further restricted consumer buying power. The AdTech ecosystem also experienced adjustments. Google adjusted the date of cookie deprecation. Federal legislation forced technology companies to adjust their consumer privacy practices. Marketers and advertisers adjusted how they address interoperability issues by investing in clean room solutions. This year of adjustment makes it harder to predict where consumers will spend and how marketers should plan their digital audience strategies. What will 2023 bring to AdTech? Download our 2023 AdTech trends and predictions report to access our forecast to help you plan for 2023. Our report will answer: How has digital activation changed over the last four years? What are the top advertising platforms? Which digital audiences are advertisers buying? Do digital audience strategies vary by vertical? Our AdTech trends forecast In 2023, digital activation will increase. Digital audience activation continues to grow at a significant rate despite market shocks like the pandemic, inflation, and higher interest rates. Given the current economic uncertainty, we predict that marketers will look toward tried and true channels where they are confident they will have quality audiences, inventory, and be able to drive ROI. What will digital activation look like in 2023? Between 2018-2021, digital audience activation increased annually by 46%. Using projected 2022 results, between 2018-2022, it will increase annually by 34%. We anticipate continued growth in 2023. Top advertising platforms in 2023 2023 will see increased digital activation, but which platforms will advertisers use to serve their ads? Advertisers will shift their focus to demand-side, video, and supply-side platforms. Social media platforms will continue to experience volatility. Advertisers will place bigger bets on the combination of addressable and CTV. Our report will also reveal which platforms are creating a path toward a post-cookie future and where data-sharing relationships will become the strongest. The most popular advertiser audiences trending now in AdTech Which digital audiences are advertisers buying? Demographics Modeled Lifestyles Behavioral Custom Audiences Traditional targeting methods like Demographics and Modeled Lifestyles are the baseline of many marketing strategies. We predict that we will continue to see marketers activate against these data sets. Digital audience strategies by vertical Digital audience strategies vary by vertical. Download our report to uncover the digital audiences purchased by advertisers in the following industries: Financial Services Health Retail & CPG Technology & Communication Download our new 2025 Digital trends and predictions report Marketers, agencies, and platforms are facing new challenges as privacy regulations evolve, AI technology advances, and consumer behaviors shift. Our latest report highlights actionable strategies for navigating these changes and improving how you connect with audiences, measure impact, and deliver results. What you’ll learn Navigating signal loss: Explore the rise of alternative IDs and contextual targeting as privacy regulations and signal loss reshape data-driven advertising. Connected TV (CTV): Understand the growth of connected TV (CTV), the importance of frequency capping, and strategies for effective audience activation. Omnichannel campaigns: Learn how marketers are moving from channel-specific strategies to audience-led omnichannel campaigns that tell a more cohesive story. Retail media networks: Learn how retail media networks (RMNs) are capitalizing on enriched first-party data to learn more about their customers and reach them across on-site and off-site inventory. Curation: Examine how curation is transforming programmatic campaigns by combining audience, contextual, and supply chain signals to deliver premium inventory packages that maximize addressability, efficiency, and performance. Download now Get in touch
Viewers shift between streaming services, live TV, and on-demand content across multiple devices, making it harder to know exactly who sees your message. Instead of wondering if your ads are reaching the right viewers, it's important to have a clearer understanding of viewing behaviors so you can focus your efforts on the audiences that matter most to your campaign. Experian has collaborated with The Advertising Research Foundation (ARF) to create new opportunities for marketers. By combining data from the ARF’s DASH (Device and Account Sharing) study with Experian Marketing Data, we’ve developed a new way for you to understand and reach modern TV viewers. Instead of estimating who might see your message, you gain a clearer view of viewing behavior and can align activation with the audiences that matter to your campaign. What is the DASH study? The DASH study, developed by the ARF together with the National Opinion Research Center (NORC) and seven industry sponsors, including Experian, provides a detailed picture of how American households consume TV and digital media. This research offers an unbiased and accurate view of media habits, measuring everything from device usage to streaming account sharing. When this viewership data is combined with Experian Marketing Data, it allows for the creation of unique audience segments. These segments are built on real-world media and device usage, providing a more accurate representation of how people watch, share, and engage with TV content. This combination of identity and connectivity helps marketers understand exactly how people engage with media, technology, and their favorite brands. “Television viewing behavior has undergone a massive transformation, making it challenging for advertisers to reach their target audience and optimize frequency. These audiences give advertisers invaluable tools for managing their campaigns in an increasingly fragmented environment.”Doug McLennan, Director of Product Management How do DASH audiences help? By using the DASH study, Experian developed TV audience segments that reflect how people truly interact with content. These audiences provide the insights you need to align your campaigns with actual media consumption habits, helping you reach viewers with more relevant messages. This approach moves beyond basic demographics. It allows you to connect with people based on specific behaviors, such as co-viewing, screen preferences, or household streaming habits. The result is a more focused and efficient advertising strategy that delivers better outcomes. “DASH has established itself as a reliable and unbiased calibration set, a “true North”, for media measurement. Our collaboration with Experian puts the power and precision of DASH in the hands of marketers and advertisers as well.” Paul Donato, Chief Research Officer Which audience segments help you target viewers more effectively? These audience segments make it possible to find specific types of viewers and align your marketing campaigns with their media usage. Whether you’re connecting with people who are receptive to ads, households that enjoy shows together, or individuals who are frequent streamers, you can approach campaigns with greater accuracy and confidence. We’re pleased to introduce these segments and continue our partnership with the ARF, creating new opportunities to help you build effective connections with your target audiences. Explore some of our key audience segments: Ad Acceptors: Viewers who are more open to watching advertisements. Ad Avoiders: People who actively try to skip or block ads. Co-Watchers: Households where multiple people view content together. Solo Watchers: Individuals who typically watch TV by themselves. Paid TV High Spenders: Households that subscribe to multiple paid TV or streaming services. Large Screen Viewers: People who primarily watch content on large television screens. Small Screen Viewers: Individuals who prefer watching on smaller devices like tablets or phones. How can I use these audiences? Experian’s DASH audiences are available in your demand-side platform (DSP) of choice, ready for activation across all offline and online channels. This easy access means you can build more effective campaigns without changing your existing workflow. Using these segments, you can manage your advertising with greater confidence. You gain the tools needed to navigate the fragmented media environment and ensure your campaigns are seen by the right people. This targeted approach helps you maximize the impact of your marketing efforts and achieve your goals. Strengthen your TV planning and activation with DASH audiences. Are you ready to connect with your audience in a more meaningful way? FAQs What is the DASH study? The DASH study, developed by ARF, provides an unbiased view of how American households consume TV and digital media. It measures device usage, streaming habits, and account sharing to create a detailed picture of media consumption. How does Experian help advertisers understand media habits? Experian combines its Marketing Data with insights from studies like DASH to create audience segments based on real-world behaviors. This allows advertisers to align their campaigns with how people actually consume content. What types of audiences can I target with these segments? Audience segments include Ad Acceptors, Co-Watchers, Solo Watchers, Paid TV High Spenders, and Large or Small Screen Viewers, enabling precise targeting based on viewing habits. Why is understanding viewing behavior important for advertisers? By focusing on actual media consumption habits, advertisers can deliver more relevant messages, reduce wasted impressions, and improve the overall effectiveness of their campaigns. Latest posts