Bridging disparate data in a fragmented world
In today’s world, consumers engage with brands across multiple platforms, including social media, online marketplaces, in-store experiences, and customer service touchpoints. However, the main challenge for marketers and advertisers is the fragmentation of customer data across these different channels. Each platform generates its own set of data, which is stored in different databases and formats. Integrating these various data sources to create a unified view of the customer is a complex task involving technology and understanding customer behavior across different digital and physical channels.
Businesses must link these data fragments to avoid creating a disconnected customer experience. For example, a person may browse products on a mobile app, ask questions through a customer service chat, and eventually purchase in an online marketplace. Traditional data analysis methods often need to recognize these activities as those of a single customer, which can result in missed opportunities to deliver personalized customer experiences across the customer journey.
Identity resolution: The key to a unified customer experience
Connecting online interactions across various platforms is a challenge for brands. Identity resolution enables enterprises to overcome this challenge by stitching together disparate signals and records to orchestrate experiences and analyze outcomes more effectively. By pairing Experian’s identity capabilities with AWS Clean Rooms, enterprises can securely collaborate with their partners to derive deeper insights without exposing sensitive underlying data sets.
This partnership between AWS and Experian enables effective matching between disparate data sets, bolstering privacy-enhanced media planning, insights, data enrichment, media activation, and measurement use cases. Depending on their distinct needs and existing identifiers, customers can use two specific offerings of Experian’s identity resolution solutions paired with AWS Clean Rooms.
Experian’s identity resolution products ensure a frictionless brand experience across various channels, enhancing the customer journey from start to finish. Brands can employ our adaptable identity resolution solutions to forge connections between contextual, behavioral, lifestyle, and purchase-based data sources, assembling comprehensive customer profiles. Use dependable digital data to make informed decisions and elevate consumer engagement. Advanced deterministic and probabilistic features, combined with data science and cutting-edge technology, work hand in hand to mitigate risk and uphold data privacy.
Such recognition enables a more comprehensive understanding of your clientele, fostering trust and amplifying campaign effectiveness by utilizing securely managed, standardized customer data. With this strategic approach, businesses can achieve their objectives regulatory-compliant.
The consumer perspective: Why consistency matters
Data fragmentation can lead to inconsistent experiences for consumers, which can be frustrating and erode brand trust. For instance, imagine receiving a promotional email for a product you already purchased through an app or being targeted for a product you decided against.
Consumers are increasingly tech-savvy and demand a seamless, integrated experience regardless of how they interact with a brand. They want to feel valued and recognized at every touchpoint and don’t care about the complexities of data analytics. As a result, brands face significant pressure to get identity resolution right.
Data security and privacy: A Fort Knox for your data
AWS Clean Rooms empowers their customers to establish a secure data clean room within minutes, facilitating collaboration with any other entity within AWS. This fosters the generation of unique insights regarding advertising campaigns, investment decisions, clinical research, and more. With AWS Clean Rooms, the need to store or maintain a separate copy of data outside the AWS environment for subsequent dispatch to another party for consumer insight analysis, marketing measurement, forecasting, or risk assessment becomes obsolete.
AWS Clean Rooms provides an expansive set of privacy-enhancing controls for clean rooms. This includes query controls, query output restrictions, and query logging that allows customers to tailor restrictions on the queries executed by each clean room participant. Moreover, AWS Clean Rooms include advanced cryptographic computing tools that maintain data encryption—even during query processing—to adhere to stringent data-handling policies. This process employs a client-side encryption tool—an SDK or command line interface (CLI)—that utilizes a shared secret key with other participants in an AWS Clean Rooms collaboration.
With a wealth of expertise in data privacy management, Experian enhances campaign effectiveness and fosters trust by managing standardized customer data securely. By using the identity graph, you can preserve a unique identity for each customer. This strategy enables you to comprehensively understand your clientele and reach your business objectives in a regulatory-compliant manner.
The future of data-driven marketing starts here
AWS customers can use AWS Clean Rooms to establish their own clean rooms in mere minutes, initiating the analysis of their collective data sets without sharing their underlying data with each other. Customers can use the AWS Management Console to choose their collaboration partners, select data sets, and configure participant restrictions. With AWS Clean Rooms, customers can effortlessly collaborate with hundreds of thousands of companies already using AWS without needing to move data out of AWS or upload it to a different platform. When running queries, AWS Clean Rooms accesses data in its original location and applies built-in, adaptable analysis rules to assist customers in maintaining control over their data.
Coupled with Experian’s trusted data privacy management and unique Experian ID, businesses can effectively manage customer data, secure partners’ communication, and achieve regulatory-compliance objectives. This combination allows companies to use data-backed insights to supercharge their marketing initiatives, resulting in more meaningful customer interactions, improved match rates, and business success.
About the authors

Kalyani Koppisetti, Principal Partner Solution Architect, AWS
Kalyani Koppisetti is a technology leader with over 25 years of experience in the Financial Services Industry. In her current role at AWS, Kalyani advises financial services partners on best-practice cloud architecture. Kalyani works closely with internal and external stakeholders to identify industry technical trends, develop strategies, and execute them to help Financial Services Industry partners build innovative solutions and services on AWS. Technical and Solution interests include Cloud Computing, Software-as-a-Service, Artificial Intelligence, Big Data, Storage Virtualization and Data Protection.

Matt Miller, Business Development Principal, AWS
In his role as Business Development Principal at AWS, Matt drives customer and partner adoption for the AWS Clean Rooms service specializing in advertising and marketing industry use cases. Matt believes in the primacy of privacy-enhanced data collaboration and interoperability underpinning data-driven marketing imperatives from customer experience to addressable advertising. Prior to AWS, Matt led strategy and go-to-market efforts for ad technologies, large agencies, and consumer data products purpose-built to inform smarter marketing and deliver better customer experiences.

Tyler Middleton, Sr. Partner Marketing Manager, Experian Marketing Services
Tyler Middleton is the Partner Marketing Lead at Experian. With almost 20 years of strategic marketing experience, Tyler’s focus is on creating marketing strategies that effectively promote the unique value propositions of each of our partners’ brands. Tyler helps our strategic partners communicate their mutual value proposition and find opportunities to stand out in the AdTech industry. Tyler is an alumnus of the Seattle University MBA program and enjoys finding new marketing pathways for our growing partner portfolio.
Latest posts

Originally appeared in Adweek This holiday advertising season, identity is the real differentiator Marketers are betting big on AI to run their holiday advertising, using it to build predictive audiences, generate creative at scale, and optimize media buys in real time. The draw is clear: greater efficiency, delivered at scale. But here’s the problem: without a solid identity foundation, AI is just guessing. And in a year when consumers are cautious and competition is fierce, guesses won’t deliver the outcomes you need. Experian’s 2025 Holiday spending trends and insights report shows that success this season will depend on connecting the right data to the right audiences in real time. Download the report now Are shoppers really using AI to make holiday purchases? Not yet. Only 12% of consumers plan to use AI tools to shop this season, mostly for finding discounts. Instead, trusted influences (like retailer websites, product reviews, and recommendations) still guide buying decisions. For marketers, that’s a signal to focus on credibility and connection. AI can support your holiday advertising strategy, but trust still wins the sale. Consumer sentiment heading into the holidays is low, but that could mislead marketers Here's why How marketers are really using AI in holiday advertising Behind the scenes, AI is working overtime. Teams use it to segment audiences, test creative, and optimize media in real time. These capabilities are powerful, but only if they’re grounded in accurate, persistent data. Think about the typical holiday shopper. They may browse a product online, validate it in store, and finally purchase days later from a different device than they used while browsing. If AI isn’t anchored in identity, it struggles to connect those touchpoints. Instead of amplifying relevance, it amplifies noise. See our predictions for Black Friday 2025 Why identity is the GPS for AI-driven holiday advertising Identity is what turns AI from a blunt instrument into an accurate tool. By unifying fragmented signals across channels and devices, identity provides the consistent consumer view that AI needs to be effective. With that foundation, AI can do more than churn out models. Instead, it can: Identify the right audiences and filter out waste Personalize with context, not just scale Measure real outcomes, linking exposures to visits and purchases Identity doesn’t just improve efficiency; it creates accountability. And in a season where every holiday advertising campaign dollar is scrutinized, accountability is the difference between investment and waste. Why connected data will make or break Cyber Week How to turn complexity into clarity this holiday season This year's holiday advertising season is complicated. Marketers are confident, consumers are cautious, and AI is somewhere in the middle. The challenge isn’t just speed or volume, it’s accuracy. By pairing AI with identity, you can adapt to real behavior instead of assumptions. You can build campaigns that are consistent across connected TV, retail media, and social platforms. And you can prove results when it matters most. AI isn’t a holiday miracle. But when it’s powered by identity, it can give you clarity in a noisy season and proof of performance when budgets are under scrutiny. Explore Experian's holiday audiences to activate this season What’s the real takeaway for marketers this season? Don’t assume AI alone will save your holiday advertising strategy. It won’t. Consumers still trust human voices more than machines, and your AI models are only as strong as the data beneath them. Identity is the difference between guesswork and accuracy, between activity and impact. This holiday season, the winners won’t be the brands that simply spend more or automate faster. They’ll be the ones that put identity at the core of their AI strategy and meet consumers where they really are. Download Experian’s 2025 Holiday spending trends and insights report to see where consumers are spending and how identity can help your holiday advertising campaigns more effective. Download now About the author Colleen Dawe VP, Advertiser Partnerships, Experian Colleen Dawe is VP, Advertiser Partnerships at Experian Marketing Services, where she oversees revenue growth and client success, helping advertisers harness data and identity to fuel marketing strategies. With over 15 years of experience spanning TV and digital media, she brings deep expertise in data, identity, activation, and measurement to help her clients connect innovation with business outcomes. Holiday advertising FAQs Why isn’t AI enough on its own for holiday advertising? AI works best when it’s grounded in accurate data. Without identity, it can’t connect actions across devices or channels, which limits its effectiveness. How does identity improve AI-driven campaigns? Identity creates a single, persistent view of your audience. That means AI can personalize content, measure conversions, and cut waste with far greater accuracy. What does “identity” mean in marketing terms? It’s the data layer that connects people across their devices, browsers, and behaviors—so your campaigns reach real individuals. How can marketers prove ROI in holiday advertising? By tying exposure to verified outcomes—like store visits or purchases—using identity-linked data. That’s how Experian helps brands move from impressions to impact. 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