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Outdated data can’t predict tomorrow’s behavior.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.
Latest posts

What challenge did the pet brand face? A national e-commerce pet supplier wanted to expand into audio advertising to diversify beyond display campaigns. But with only one team member available to test this new channel, they faced three hurdles: Prove performance in a new channel Run lean with limited bandwidth Show purchase intent, engaged site visits, and completion rates fast They needed a partner to handle execution and supply optimization so their lean team could focus on strategy and selling audio internally. Hear how we're working with Audacy to help our clients connect beyond the screen Tune in here The solution: How did Experian Curated Deals help? Audigent, a part of Experian, ran point on setup, optimization, and real-time reporting. The brand turned to Experian Curated Deals. Together we: Streamlined access to curated inventory, cutting intermediaries and boosting efficiency Handled campaign setup and supply-side optimization Delivered real-time demand-side platform (DSP) reporting for agile targeting refinements Provided an extension of their in-house team, giving them bandwidth to focus on pitching audio internally “What stood out about Experian was their real-time control and the depth of their trading team. I knew I could hand them a campaign, and they’d run with it.”Programmatic Media Lead, National e-commerce pet supplier Want to see the full case study? Download it here What results did the campaign deliver? In just a few months, audio transformed from a small test into a top-performing channel: Exceeded KPIs by 63% Increased purchase intent and engagement vs. competing platforms Matched display performance without creative refreshes or incentive overlays Earned budget increases, positioning audio as a long-term investment Reduced internal setup time, freeing the team for strategic projects “Experian became more than just a media partner: they filled critical gaps that would typically require outsized investment in internal resourcing.”CMO, National e-commerce pet supplier Explore more examples of how brands are driving performance with Experian Windstar Cruises Leading athletic retailer Swiss Sense Why does this matter for marketers? For marketers, audio isn’t experimental anymore. It’s a proven channel that can drive both engagement and conversions. This case study shows how brands can: Use Experian Curated Deals to validate new channels with minimal risk. Lean on Experian to handle execution, freeing teams to focus on growth. Drive meaningful engagement and purchase intent, not just impressions. For marketers navigating limited resources and pressure to prove ROI fast, Experian Curated Deals provides both performance and confidence. Want to beat your campaign goals by double digits? Contact us today Curated Deals FAQs What is Experian Curated Deals? Experian Curated Deals streamline access to premium media inventory by eliminating unnecessary intermediaries, optimizing efficiency, and ensuring campaigns perform against KPIs. Why use curated deals for audio advertising? Curated deals help brands test and validate audio quickly, without the heavy lift of manual setup and supply path management. Can audio really drive conversions? Yes. In this case, audio campaigns not only exceeded awareness and engagement goals but also matched the conversion performance traditionally associated with display. How does Experian support lean teams? By managing setup, supply optimization, and reporting, Experian acts as an extension of your team, reducing internal workload while driving performance. 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 Paul Zovighian, VP of Marketplaces at Index Exchange. Sell-side activation vs. buy-side packaging What’s fundamentally changed with sell-side decisioning, and how does it now diverge from traditional buy-side packaging? Sell-side decisioning is programmatic’s next major evolution – one that redefines how intelligence enters the transaction. Advances in infrastructure and computing power now allow supply-side platforms(SSPs) to act in the crucial pre-bid moment, enriching impressions with context, quality, and data before they reach the buy side. This isn’t just about efficiency; it’s about unlocking new value. Smarter requests mean buyers see only the most relevant opportunities, while publishers gain recognition for the true worth of their audiences and environments. We’re still at the beginning of this shift. Many players still package inventory without engaging in real pre-bid intelligence. As the market matures, the companies that evolve toward sell-side decisioning will be the ones to set the pace for programmatic’s future. Economic shifts with scaled curation As curation scales, what economic levers shift for both publishers and buyers, and how do those shifts influence deal structure and media planning? As curation scales, one of the most powerful levers is data. It’s the industry’s most valuable asset, and on Index it keeps its full worth. We don’t take a platform cut or add hidden fees, so data partners benefit from the clearest, most efficient economics in the market. Data vendors gain confidence that their economics aren’t eroded by a platform tax. For publishers, this means stronger yield and more ad spend flowing directly into working media. When data retains its full value, it enhances how impressions are packaged, priced, and differentiated—driving more competition for quality inventory and more opportunities for revenue. For buyers, it means compressed supply paths and total transparency – they know exactly what they’re paying for. With no intermediaries and full transparency into economics, buyers gain a clearer view of where their budgets go and the confidence that their investments reach real audiences in trusted environments. They benefit from cleaner supply chains, better performance, and more meaningful alignment between spend and outcome. The result is a healthier marketplace where both sides benefit from efficiency, fairness, and scale. Moving decisions upstream for value What decisions historically made in DSPs should now move upstream to publishers or SSPs to unlock more value, and which should remain buy-side? Decisioning is no longer confined to demand-side platforms(DSPs). We can enrich impressions by applying intelligence — via data, algorithms, creative technology, and more, before they even reach the buy side — adding context, filtering out low-quality supply, and expanding audience discovery. This isn’t about shifting roles; DSPs remain critical for campaign strategy, optimization, and budget allocation. The sell side simply ensures every bid request is smarter from the start, creating more value for all parties. In doing so, we also alleviate pressure on DSPs — enabling more comprehensive data discovery by searching for signals at the top of the funnel, prior to optimization. That means DSPs can focus on what they do best, supported by a cleaner, more transparent supply path. Index Marketplaces use cases explained Index Marketplaces is designed to enable the strength of our partners, and Experian brings one of the broadest sets of demographic and audience insights in the industry. That scale enables a wide variety of applications, from more precise audience activation to deeper measurement and analytics. What’s different on the sell side is how those insights are applied. By activating Experian’s syndicated audiences directly at the point of decision, their value is realized in real time and across the full scale of the open internet. Buyers gain a clearer path to relevant audiences, and publishers benefit from stronger alignment between data and media. It’s an approach that ensures partners like Experian can maximize the impact of their assets while helping the market move toward more intelligent, performance-driven activation. Identity signals with stronger privacy For identity partners like Experian, what’s the right way to bring audience, context, and propensity signals into sell-side activation? The beauty of sell-side decisioning is that it reduces the hops in how identity signals are applied. Without it, IDs have to travel through multiple platforms, creating extra handoffs and additional risks of data loss or leakage. With sell-side decisioning, those signals are obfuscated under a deal ID and applied directly at the point of decision. That means audience, context, and propensity data are activated securely, without ever leaving the sell-side environment. For partners like Experian, it’s the cleanest path to value: fewer hops, stronger privacy protection, and clearer economics for everyone in the chain. Contact us About our expert Paul Zovighian VP of Marketplaces, Index Exchange Paul Zovighian carries over a decade of industry expertise, stemming from his analytics and optimization roots to his current post as VP, Marketplaces, where he is focused on the commercial activation of Index’s newest product, Index Marketplaces. Previously, in his role as VP of corporate development, Paul led Index’s first-ever business acquisition. In his spare time, he enjoys long walks on the beach and befriending cats in NYC’s thriving bodega community. About Index Exchange Index Exchange is a global advertising supply-side platform enabling media owners to maximize the value of their content on any screen. They’re a proud industry pioneer with over 20 years of experience connecting leading experience makers with the world’s largest brands to ensure a quality experience for consumers. FAQs What is sell-side decisioning, and why is it important? Sell-side decisioning allows publishers to add intelligence, like audience data and context, before ad impressions are sent to buyers. This makes the process more efficient and ensures advertisers see only the most relevant opportunities. How does sell-side decisioning differ from traditional buy-side packaging? Traditional buy-side packaging happens after impressions are sent to demand-side platforms (DSPs). Sell-side decisioning moves some of that intelligence upstream, enriching impressions earlier and reducing inefficiencies. What does "curation" mean in this context, and how does it benefit publishers and advertisers? Curation refers to the process of organizing and enriching ad inventory with data and context. For publishers, it leads to better yield and more ad spend going directly to their media. For advertisers, it means clearer, more transparent supply paths. How does sell-side decisioning improve privacy? By applying audience and identity signals directly on the sell side, data stays within a secure environment. This reduces the number of platforms handling sensitive information, lowering the risk of data loss or leakage. What role does Experian play in sell-side decisioning? Experian provides demographic and audience insights that are activated directly at the point of decision. This helps advertisers reach the right audiences more effectively while ensuring publishers can maximize the value of their inventory. Why is moving decisioning upstream beneficial for DSPs? When publishers and SSPs handle some decisioning earlier, DSPs can focus on campaign strategy and optimization. This creates a cleaner, more efficient process for everyone involved. What is a deal ID, and how does it enhance privacy? A deal ID is a unique identifier used in programmatic advertising to bundle audience and context signals securely. It ensures data is applied without being exposed or shared across multiple platforms. Latest posts

As artificial intelligence (AI), connected TV (CTV), and data collaboration continue to advance, advertisers are discovering new ways to meet audiences where they are; on their terms and in their spaces. These innovations are creating opportunities to deliver more personalized, impactful campaigns that were unimaginable just a few years ago. At Cannes Lions 2025, we sat down with industry leaders from Butler Till, Comcast Advertising, Index Exchange, IQVIA Digital, Optable, PMG, Samsung Ads, and Sports Innovation Lab. From reimagining the living room experience to using AI in practice for better outcomes, here’s what we learned about the trends driving advertising forward. 1. CTV turns living rooms into active spaces CTV has turned the living room into a hub of interaction, discovery, and commerce. Younger audiences are using their TVs like mobile devices; streaming, learning, and even controlling their homes. This shift is creating new opportunities for advertisers to deliver relevant, personalized experiences where audiences are already engaged. With premium content and interactive tools, the living room is no longer just a passive space, it’s where attention meets action, and where brands can connect with audiences in meaningful ways. How Experian helps With Experian, advertisers can connect first-party data with CTV IDs, ensuring accurate and measurable targeting while maintaining a privacy-first approach. That means brands reach viewers with messages that feel personal, without losing trust. “We surveyed 1,000 smart TV owners and found that younger audiences are using their TVs like mobile devices. Two-thirds use them for social media, 40% for self-improvement like Coursera or TED Talks, and 25% for interactivity; controlling appliances or home temperatures. Interactivity with connected TVs is skyrocketing.”Justin Evans 2. Creators build stronger connections with audiences Creators are no longer limited to social media; they are now a driving force in CTV. Creator led programming is capturing attention and driving post view actions, offering advertisers a unique way to connect with passionate, engaged audiences. By thinking of creators as “micro networks” with built in communities, advertisers can meet fans where they already gather and deliver authentic, impactful messages that resonate. How Experian helps Experian helps advertisers tap into the creator economy by identifying topical audiences that align with influencer niches—like food, travel, gaming and entertainment—and activating them across the open web. Through Audigent’s integration with DV360, brands can pair Experian's expansive audience targeting capabilities with Audigent's Curated Deals to reach engaged viewers in creator-led environments. This approach ensures ads appear where audiences are most receptive, enhancing relevance and performance. “The creator economy is moving into TV. It’s incredible to see social influencers, once dominant on platforms, now creating high quality content for streaming, networks, and more.”Gina Whelehan 3. Data collaboration that drives better results Advertisers rely on data to reach the right audiences, but privacy concerns are reshaping how it’s collected, shared, and used. Data collaboration enables brands to combine multiple data sets (like first-party data and syndicated audiences) to improve planning, activation, and measurement. While privacy remains a priority, the focus is on creating actionable insights that drive better results and build trust with consumers. By focusing on consented, privacy safe identity solutions, advertisers can achieve better outcomes while respecting consumer privacy; a win-win for brands and audiences alike. How Experian helps Experian’s privacy-first approach ensures that all data activation occurs with compliance and consent. By maintaining high match rates, offering flexible collaboration options (including clean rooms, first-party data onboarding, and syndicated audiences) and adhering to transparent methodologies, Experian facilitates seamless collaboration between brands, publishers, and platforms. This helps build trust and strengthen long-term connections with audiences. “The area we’re most excited about is identity resolution on the publisher side. Publishers can reinsert signal and create better results for advertisers. This wasn’t always well-articulated, but today we have case studies proving publishers can help improve outcomes.” Vlad Stesin 4. Optimizing supply paths for better outcomes Supply path optimization (SPO) helps advertisers improve campaign efficiency by increasing viewability and reducing waste. Supply-side decisioning builds on this by identifying the audiences advertisers want to reach, the content those audiences consume, and the publishers with the most relevant inventory. Together, these strategies create a more intelligent and efficient ecosystem, ensuring ads are delivered in the right context, to the right people, on the right platforms. How Experian helps Experian’s data solutions, including both Experian’s and Audigent’s contextual and identity capabilities, are available across sell-side (SSPs) and buy-side (DSPs) platforms, enabling smarter decision-making throughout the media supply chain. Audigent’s direct integrations with publishers provide an unfiltered view into available inventory, offering deeper insights that inform campaign optimization. These insights can be activated in real time and transacted within advertisers’ existing buying platforms. By powering real-time intelligence across the ecosystem, from advertisers to DSPs, SSPs, and publishers, Experian and Audigent help drive better outcomes, more efficient media spend, and greater value for all participants. “Sell-side decisioning activates the intelligence of the exchange, along with partners like Experian, to optimize auctions in real time. This helps pre-decision buys that flow to the DSPs, making the buying process smarter, more efficient, and ultimately driving better value for marketers and publishers.” Mike McNeeley 5. AI that streamlines agency workflows AI is a practical tool that agencies are using to streamline workflows and deliver better results. From planning and pacing to creative iteration, AI is helping teams move faster and smarter. In fact, 67% of global marketing and communications professionals now use AI for content creation frequently or all the time, underscoring its role in modern workflows. The key is to think of AI as a navigator, not a replacement. It handles repetitive tasks, freeing up teams to focus on strategy and creativity, while enabling faster tests, fewer dead ends, and better client clarity. How Experian helps Experian uses AI and machine learning to deliver highly personalized marketing solutions. In our Digital Graph, advanced clustering algorithms analyze household and individual device connections, improving targeting and measurement accuracy. We also use AI powered audience recommendations to create tailored audience solutions for clients. Our contextual data models, powered by Audigent’s contextual engine, further improve this process by analyzing bidstream traffic in real time, ensuring audiences are aligned with the most relevant inventory. “We’ve extended our platform with Marketplace, which lets us integrate third-party partners, new tech, and data seamlessly into activation. Clients are asking for this level of innovation, especially with the speed at which AI is evolving and transforming what’s possible in marketing.”Sam Bloom Connecting the dots: Data, creativity, and outcomes The common thread across these insights is how we connect with audiences, collaborate on data, and create meaningful outcomes. By reimagining the living room experience and utilizing AI and creator-led programming, brands are embracing innovation. How Experian helps Experian helps you build privacy-first identity foundations, collaborate seamlessly, optimize supply paths, streamline with AI, and connect through creators. Let's start a conversation FAQs What is CTV, and why does it matter now? CTV brings premium, interactive streaming to the largest screen at home, allowing brands to reach engaged viewers with measurable, personalized experiences. What is data collaboration, and how does it stay privacy-first? It’s the consented, secure use of first-party and partner data (often via clean rooms) to improve planning, activation, and measurement without exposing raw consumer data. What do “SPO” and sell-side decisioning actually do? SPO streamlines the path from advertiser to publisher, reducing waste and improving quality. Sell-side decisioning adds real-time intelligence to the exchange, delivering the proper context and audience more efficiently. How are creators changing TV advertising? Creator-led programming functions like “micro networks” with built-in communities, helping brands show up where fans are already engaged and ready to act. How are living rooms becoming “active spaces”? Viewers use TVs like mobile devices, discovering content, learning, shopping, and interacting; advertisers can meet their intent and drive post-view actions. Latest posts







