At A Glance
Identity resolution unifies fragmented IDs into complete customer profiles, helping companies understand their audiences and deliver personalized, privacy-compliant experiences in a cookie-light world. With Experian’s AI-powered identity resolution solution, marketers gain the scale, accuracy, and compliance to compete while making marketing more human.In this article…
Every marketer has seen it: a customer browses reviews on a laptop, adds items to a cart on mobile, then “disappears.” In reality, they just likely switched devices or logged in with a different email. Identity resolution connects these scattered signals into a single profile so you never lose sight of the customer journey.
Identity resolution is what helps you keep track of customers who bounce around.
Connecting scattered signals into a single customer profile can help you deliver seamless experiences, meet strengthening privacy standards, turn first-party data into measurable results, and fuel better customer analytics.
See our identity resolution solution in action
What is identity resolution?
Identity resolution is the process of pulling together the different identifiers a customer uses and connecting them to a single profile. Without it, you’re left with an incomplete picture of the customer — like a cart tied to one email, an app login tied to another device, or a loyalty swipe that never links back to the same person.
Common identifiers include:
- Cookies: Short-lived browser data
- Emails: Plain-text and hashed
- Device IDs: Mobile advertising IDs (MAIDs) or app-based identifiers
- Loyalty IDs: Program numbers that tie online and offline activity
- Hashed PII: Personally identifiable information (PII) encrypted for privacy
Ultimately, identity resolution can help you recognize the same customer wherever they engage.
Why does identity resolution matter now?
Marketers face incomplete views, data silos, privacy regulations, and shrinking visibility:
- Rising consumer expectations: People want seamless, personalized journeys across touchpoints.
- Privacy-first environment: Consumer privacy legislation (like the GDPR, CCPA, GLBA, FCRA, and new state laws) makes compliance non-negotiable.
- Signal loss: The decline of cookies, MAIDs, and walled gardens are pushing brands toward first-party data.
Experian utilizes AI and machine learning to fill these gaps, predict behaviors, and connect signals across devices — providing marketers with a clear, privacy-safe view of their customers, even when traditional identifiers are missing.
In this environment, identity resolution matters because it gives marketers a way to deliver seamless, personalized customer experiences and engage audiences effectively while respecting their privacy. It’s the basis for turning consented first-party data into measurable marketing outcomes without sacrificing trust.
Why is identity resolution critical in a privacy-first world?
Even as cookies linger, marketers have already shifted their strategies to rely on first-party data, where choice and transparency are the baseline expectation. At Experian, our long history as a regulated data steward makes us a uniquely capable and trusted partner for managing modern compliance expectations. Our identity resolution solutions maximize the value of permission-based data while meeting consumer demand for privacy, personalization, and control.
Struggling with scattered customer data? Experian makes identity resolution seamless
How does identity resolution help brands?
Identity resolution turns fragmented signals into unified profiles that drive personalization, efficiency, and compliance. Here’s how it creates measurable business impact.
Creates a unified customer view
One of the biggest advantages of identity resolution is the ability to integrate data from loyalty programs, point-of-sale (POS) systems, customer relationship management (CRM) platforms, web analytics, and offline sources into a single, comprehensive profile. Experian strengthens identity resolution with AI-driven clustering models that resolve household and individual identities across billions of signals with greater accuracy.
With a clearer picture of each customer, brands see higher match rates and larger addressable audiences, which translates to more substantial reach and better return on ad spend (ROAS).
Enables better personalization
Customers constantly switch devices, update their information, and change preferences. Experian makes it easier to keep pace with these changes through frequent data enrichment and near-real-time identity resolution via Activity Feed.
Combined with our long-standing use of AI and machine learning, this approach ensures shifting behaviors are captured quickly, enabling timely personalization, and more responsive engagement.
With less delay from data to action, the result is faster response times and higher conversion rates.
Improves the customer experience
Customers notice when brands deliver relevant ads and contextual content across every channel. Consistency matters! But consistency doesn’t just happen on its own; it comes from identity resolution, which keeps the customer journey connected.
As brands maintain continuity, they build trust, strengthen engagement, and increase customer lifetime value.
Drives better marketing ROI
Not every profile is valuable. Identity resolution helps marketers identify the highest-value audiences and reduce wasted spend.
That efficiency leads to lower CPA and a higher overall ROI across campaigns.
The power of modeling from a stronger foundation
When you have a unified customer view, your models are built on better data. That means you can find more people who look like your best customers, build more responsive audience segments, and target with greater accuracy. This foundation can lead to better spending, more relevant campaigns, and a higher ROI.
Maintains privacy compliance
With GLBA/FCRA-grade standards and consumer choice mechanisms like opt-outs and data correction, you can protect your brand while maintaining personalization — without compromising legal or ethical safeguards.
What are some identity resolution use cases and examples?
Every industry faces its own unique identity challenges, but identity resolution is the common thread that turns scattered data into connected experiences. Let’s break down how companies in different verticals are putting it to work (and the kinds of results they’re seeing).
Retail and e-commerce
Shoppers bounce between websites, carts, and checkout lines, leaving behind scattered signals in the process. In retail, identity resolution bridges the gap between online and in-store experiences by matching online carts with loyalty swipes or connecting connected TV (CTV) exposure to in-store sales. This means fewer silos, better targeting, and more personalized offers wherever people shop.
Our 2025 Digital trends and predictions report calls out that omnichannel experiences aren’t optional anymore. With CTV and social dominating spend, brands need identity resolution to cut through silos and build a complete view of customer behavior.
Financial services
In financial services, identity resolution makes it possible to deliver personalized, compliant offers like refinancing options for likely mortgage switchers or the right rewards card for frequent spenders.
Our partnership with FMCG Direct to create Consumer Financial Insights® and Financial Personalities® segments helps banks, insurers, and lenders understand behaviors — such as credit card use, deposit balances, and investment habits — without exposing sensitive details.
Read more below about how our financial audiences enable privacy-safe personalization.
Travel and hospitality
Travel decisions aren’t always planned out in advance. Many bookings happen spur-of-the-moment, which is why real-time identity resolution is so powerful; it keeps the journey seamless when travelers jump from phone to laptop to tablet and presents relevant offers right as decisions are being made.
Windstar Cruises put this information into action with Experian’s identity graph to connect digital interactions with actual bookings, which drove 6,500+ reservations and $20 million in revenue.
Media and TV
Viewers tend to hop around between linear TV, streaming apps, and social feeds. And without identity resolution, every screen looks like a different person. Marketers can accurately plan, activate, and measure campaigns by unifying viewing behaviors into one ID with Experian’s AI-powered identity graph.
Optimum Media tackled its multiscreen challenge by partnering with Experian for identity solutions. Layering our audience insights and our AI-driven Digital Graph onto their subscriber data, they were able to connect the dots across channels, reach the right households, and measure results instead of just impressions. In the end, they finally got a clear view of what works across every screen.
Curious how identity resolution can power your customer analytics? We can walk you through it.
Healthcare and pharma
Healthcare marketers can’t afford slip-ups with HIPAA regulations. Identity resolution makes it possible to engage the right patients and providers with de-identified audiences rather than third-party cookies.
At Experian, AI and machine learning have always been part of how we power identity resolution. In healthcare, that means using AI-enhanced modeling to connect de-identified clinical and claims data with lifestyle insights. The result is a more comprehensive picture of the patient journey that helps close care gaps, reduce wasted spending, and improve outcomes.
By working with partners like Komodo, PurpleLab, and Health Union, we make it possible to activate campaigns at scale that boost engagement and adherence while keeping patient privacy front and center:
- Komodo Health enriches our identity graph with insights from millions of de-identified patient journeys plus lifestyle data, giving brands a fuller view of where care gaps exist and how to close them.
- PurpleLab connects real-world clinical and claims data to Experian’s platform, letting advertisers activate HIPAA-compliant audiences across CTV, mobile, and social with the ability to measure real outcomes like prescription lift and provider engagement.
- Health Union contributes a data set built from 50 million+ patient IDs and 44 billion+ patient-reported data points. Combined with our identity and modeling capabilities, this expands match rates and unlocks up to 76% net-new reach, so campaigns reach patients and caregivers in critical health moments.
As a result, healthcare brands can launch campaigns that are privacy-first, highly targeted, and proven to drive meaningful impact.
Audio
People use audio while commuting, working out, and even folding laundry. It can be one of the hardest channels to track because of how frequently listeners switch between apps, stations, and devices.
Experian’s identity resolution partnerships with Audacy and DAX change the game:
- Audacy helps tie scattered listening into a single view, so advertisers can follow audiences across devices and keep ads relevant in the moment.
- DAX pairs Experian’s 2,400+ syndicated audiences with its audio network, enabling brands to target precisely and launch impactful campaigns at scale.
These partnerships turn audio into an accurate channel where ads feel personal, privacy-safe, and measurable.
Gaming
Gamers don’t stick to one platform. Player data gets scattered across mobile, console, and PC, so it’s tough to keep track of individuals. Experian helps stitch those signals together so publishers can finally see the whole picture, personalize gameplay, and keep players coming back.
With enriched profiles, publishers can deliver offers that resonate and unlock fresh revenue by packaging high-value gaming audiences for advertisers outside the industry.
Unity, a leading gaming platform, is tapping into Experian’s syndicated audiences to gain player insights and help advertisers reach gamers across mobile, web, and CTV. For global publishers, unifying player data with Experian has driven higher engagement and stronger ad ROI.
How should I evaluate identity resolution providers?
When choosing an identity resolution partner, look for:
- Data scale and quality: The value of identity resolution depends on how complete and accurate the underlying data is. The right provider should bring together a wide range of identifiers from online and offline sources, maintaining high accuracy so your customer profiles are broad and reliable.
- Match accuracy and recency: The best partners also refresh their data regularly and can blend deterministic (exact, one-to-one matches) with probabilistic (pattern-based matches) methods. That way, you get the accuracy of “this email is definitely that customer” with the reach of “this device likely belongs to the same person.”
- Privacy and compliance readiness: Compliance can’t be an afterthought. Your identity partner should be ready for GLBA, FCRA, GDPR, CCPA, and the latest state-level rules with built-in tools for opt-outs, corrections, and deletions.
- Integration flexibility: A good provider fits into your world, not the other way around. Look for pre-built integrations with your customer data platform (CDP), demand-side platform (DSP), or marketing tech (MarTech) stack so you can get up and running without the heavy IT lift.
- Data analytics capabilities: You need proof that identity resolution drives ROI. Look for closed-loop measurement that ties unified IDs directly to campaign performance, so you can see what’s working and optimize with confidence.
How Experian enables enterprise-grade identity resolution
Experian delivers identity resolution at the scale, accuracy, and compliance required by the world’s largest enterprises. Our solutions are:
- Built on trust: Backed by 40+ years as a regulated data steward and rated #1 in data accuracy by Truthset, so you can act with confidence.
- Powered by our proprietary AI-enhanced identity graph: Combining breadth, accuracy, and recency across four billion identifiers, continuously refined by machine learning for maximum accuracy.
- Seamlessly connected: Pre-built data integration with leading CDPs, DSPs, and MarTech platforms for faster time to value.
- Always up to date: Frequent enrichment and near-real-time identity resolution through Activity Feed for timely personalization and more responsive customer engagement.
- Privacy-first by design: Compliance with GLBA, FCRA, and emerging state regulations baked in at every step, supported by rigorous partner vetting.
The bottom line
Identity resolution turns fragmented signals into connected, measurable, and compliant experiences. From retail to gaming, brands using it see stronger personalization, engagement, and ROI.
With Experian, you get the data, trust, and responsible AI innovation to make identity resolution work across every channel. Our approach uses AI to connect identities, predict behaviors, and deliver personalization that balances privacy with performance. If you’re ready to turn fragmented data into growth, now’s the time to start.
The world’s leading brands trust us to power identity resolution at scale. See how we can do the same for you.
Identity resolution FAQs
Deterministic uses exact identifiers (like an email) for accuracy, while probabilistic uses signals and algorithms to expand reach. Best-in-class providers usually combine both.
Identity resolution helps with personalization by unifying scattered signals into one profile. It reduces wasted spend and increases match rates, which means bigger addressable audiences and higher ROAS.
Yes. With first-party data and hashed PII, brands can still maintain addressability and personalization.
Retail, finance, travel, media, gaming, and audio all use identity resolution to personalize, attribute sales, and improve efficiency.
A customer data platform unifies the data you already own. Meanwhile, we add depth, scale, and higher match rates by layering in our identity graph and data enrichment.
Yes. Experian is GLBA/FCRA compliant, GDPR/CCPA ready, and supports consumer opt-outs and corrections to ensure responsible personalization.
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 Samantha Zhang, Senior Data Scientist, and Jim Meyer, General Manager of the DASH TV Universe Study at the Advertising Research Foundation (ARF). DASH is an annual tracking study conducted by the ARF to define and better understand TV audience behavior and household dynamics. What does DASH measure, and how does it help the industry understand TV consumption today? By capturing hundreds of individual- and household-level data points from each respondent in a rigorous and nationally projectable sample, DASH creates a comprehensive picture of U.S. consumer TV “infrastructure” – how America watches. Core elements in DASHElements that create context in DASHTV setsLocation | brand | smartness | service modes | sources DemographicsConnected devices Game consoles |video players | streaming devicesYesterday viewing Daypart | TV/device genre | Out-of-home viewingMobile devicesOwners | sharing usersShoppingOnline and in-store | Exposure to major RMNsInternet serviceModes | ISPs | connectivity by device Streaming audio Streaming TVSVOD/AVOD tiers and sharing | FAST Email accounts and apps Live TV Modes of access | including casting from devices Social media For example, DASH gathers: Data on every TV set, including brand, room location, age, “smartness,” and connection devices and modes Household connectivity and video service data, even in homes with no TV set Internet Service Providers (ISP) and TV service usage, including Multichannel Video Programming Distributors (MVPDs), virtual vMVPDs, streamers (ad-supported and premium), and Free Ad-Supported Television (FAST) channels Person-level ownership and usage of video-capable mobile devices, including smartphones, tablets, and laptops Measures of viewing and co-viewing across dayparts, devices, and services Additional modules covering shopping and retail media networks, streaming audio, social media, email, and apps Broad coverage and granularity make DASH a uniquely robust source of truth for practitioners across the industry, including measurement experts and ad programming strategists. DASH also reports regularly (and publicly) on key industry dynamics. DASH identified a growing segment of device-only viewers – now nearly 9 million households that watch TV, but do not own a TV set – and highlighted the implications of that trend for traditional ratings systems based only on households with TV sets. Households (HHs – million)2025 HHs (M) U.S. penetrationChange vs. 2024 (M)Total US134.8100%+2.7Connected TV (CTV)114.685%+2.1TV (Set)124.292.2%+1.1Device-only8.86.6%+1.6TV-Accessible133.198.7%+2.7 DASH called out the rise in app-based pay TV and proposed a new connection framework that better represents the modern TV world, in which linear and streaming overlap. DASH also defines the universes of households reachable with advertising. This graphic, for example, shows how all ad-supported linear and streaming properties in aggregate define the true scale of TV advertising. While 35 million households (and growing) are reachable only with streaming ads and 13 million (and falling) only with linear ads, most households are reachable with both, underscoring the importance of understanding the “overlap.” Who uses DASH data, and what decisions does it help inform? There are three primary users of DASH, each with its own use cases: Measurement providers, including Nielsen, use DASH to calibrate viewership data, turn household data into persons data (and vice versa) and estimate potential reached audiences–what the providers call media-related universe estimate (MRUEs)–for the calculation of ratings. Not surprisingly, measurement companies were the first to see the value that an independent TV universe study could provide. Media companies, including major broadcasters and streamers, use DASH to add context and color to their ad sales presentations – and to track the measurement providers, whose ratings play a major role in valuing ad inventory. AdTech companies, including Experian, use DASH to create high-value audience segments for activation. The recent accreditation of DASH by the Media Rating Council (MRC) and adoption by Nielsen as an input to its TV ratings have generated interest from a broad range of companies. We are actively pursuing new licensees and partners to make DASH more useful within, and even outside, the TV ecosystem. What does MRC accreditation signify, and why is it meaningful for DASH? MRC accreditation means DASH passed a rigorous audit conducted by Ernst & Young over many months, which validated our methodology, controls, and data quality. MRC accreditation establishes that DASH is an industry-standard dataset. While the service provider normally announces its own accreditation, the MRC took the unusual step of issuing its own release on DASH, announcing the accreditation of DASH for TV universe estimation and endorsing the study for broader, cross-media use. How does Experian use DASH data to build audiences? The segments combine specific TV usage habits and behaviors from DASH with Experian data on demographics, spending, and other contextual inputs to create a fuller view of consumer viewing behavior. They are designed to be valuable to advertisers in many categories and planning contexts – and to be customizable to fit advertisers’ media targets. The segments can be used to: Apply or suppress audiences to improve target coverage across a campaign Better align media and creative Reach elusive but high-value viewers, such as Ad Avoiders Drive valuable consumer behavior Achieve specific advertising objectives What are some practical use cases for DASH-based audiences? Here are some practical use cases for four different kinds of DASH segments in five different advertiser categories. Travel Co-WatchersA couples-only resort uses TV Co-Watching Households without Children to strengthen target reach and ad memory recallA big theme park destination uses TV Co-Watching Households with Children to reach families in moments of togetherness Home Entertainment TV Owners and Brand LoyalistsA premium TV manufacturer uses the overlap of Multi Brand TV Owners and Single Brand TV Loyalist Households to market its newest TV model to its most loyal consumers. Fast Food Screen Size ViewersA fast food chain with a high-impact new brand campaign uses Large Screen TV Viewers to better align the media and creativeThat same fast food chain uses Small-Screen TV Viewers to drive store traffic by increasing exposure of its retail campaign among on-the-go viewers Financial Services Cord Cutters A personal cost management app and a cash-back credit card target Streaming-First Cord Cutter Households to reach young, tech-savvy, cost-conscious consumers Thanks for the interview. Where can readers learn more about DASH? We started work on DASH seven years ago, and it’s been fun to watch it “grow up.” Our partnership with Experian is a big step toward putting DASH to work for advertisers and agencies. To learn more, visit our site at https://theARF.org/DASH or contact us at DASH@theARF.org. Contact us About our experts Samantha Zhang, Senior Data Scientist at ARF Samantha Zhang is a Senior Data Scientist at the Advertising Research Foundation working on the DASH TV Universe Study, with additional research spanning areas including attention measurement, digital privacy, and artificial intelligence. Jim Meyer, General Manager, DASH, at ARF Jim Meyer is general manager and co-founder of the ARF DASH TV Universe Study and managing partner of Golden Square, LLC, which advises media and research technology companies on growth strategy and development. Latest posts
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