Case study: How Experian helped FanThreeSixty enrich 7.6 million fan records

by Experian Marketing Services 6 min read October 6, 2026

At A Glance

FanThreeSixty helps sports and entertainment brands unify fan data scattered across ticketing, merchandise, and mobile apps. Working with Experian, FanThreeSixty used data enrichment and identity resolution to clean and match 7.6 million fan records, uncover 490,449 new postal addresses, and add 34 million data points, giving clients a more complete, trustworthy view of their fans.

Key takeaways

  • FanThreeSixty needed a partner to clean and enrich fragmented fan records scattered across ticketing, merchandise, and mobile app systems.
  • Experian’s Offline Identity Resolution cleaned, standardized, and matched 7.6 million fan records into single, accurate fan profiles.
  • Experian Enrichment added 34 million data points and uncovered 490,449 new postal addresses for more complete contact information.
  • FanThreeSixty’s clients now use the enriched fan data to power segmentation, targeting, and campaigns like military appreciation nights and family packages.

What challenge did FanThreeSixty face?

FanThreeSixty works with sports and entertainment organizations that collect first-party fan data from many sources, including ticketing systems, merchandise purchases, donations, alumni engagement, mobile apps, and event attendance. For these organizations, a loyal fanbase drives attendance, merchandise sales, sponsorship value, subscriptions, social engagement, and long-term loyalty.

The challenge was bringing all of that fragmented data together accurately. Fan and customer records were often incomplete, inconsistent, duplicated, or difficult to connect across systems. Without a cleaner, unified view, organizations missed important context about who their fans were, how they engaged, how close they lived to a venue, and which characteristics could inform segmentation, targeting, and revenue strategies. FanThreeSixty needed a partner that could handle data hygiene and data enrichment in one efficient process, cleaning and standardizing records while also adding the characteristics that make a fan profile useful.

What is Experian Offline Identity Resolution and Experian Enrichment?

Experian’s Offline Identity Resolution cleanses, standardizes, and links offline consumer data foraccuratedirect mail campaigns and measurement. Experian Enrichment adds meaningful demographic and behavioral inputs to the data you own. With 5,000+ attributes, advanced matching, and expert guidance, you can understand consumers more fully, build better segments, and make informed decisions.

When customer records live scattered across ticketing systems, mobile apps, and point-of-sale platforms, the same fan can end up looking like three or four different people. Bringing those fragments into one accurate profile, then filling in the demographic and geographic details a brand doesn’t yet have, is what makes it possible to actually understand an audience. Identity resolution brings fragmented records together into one accurate view of each person, and data enrichment fills in the gaps with details a brand did not previously have.

Clean, standardize, and deduplicate records to build one accurate view of each person, rather than several partial ones.

Add demographic and geographic attributes, including how close someone lives to a venue, to round out that view.

Use the enriched profile to power sharper segmentation, targeting, and campaign strategy.

How did Experian help FanThreeSixty enrich its fan data?

FanThreeSixty worked with Experian to support its data strategy across multiple client accounts. After FanThreeSixty ingests client data into its Fan Data Platform™, Experian helps clean and organize records, match and link customer identities, and enrich profiles with additional attributes. FanThreeSixty then presents these more complete fan insights back to clients through its platform.

As part of its technology stack, FanThreeSixty uses Experian’s data, identity resolution, and data enrichment capabilities to build a golden record for demographic and contact information. The approach works in three connected steps:

1. Set the foundation

Experian Offline Identity Resolution cleans, standardizes, deduplicates, and links fragmented customer records to create a more accurate view of each fan.

2. Add context

Experian Enrichment adds marketing attributes and geographic intelligence, including venue proximity insights, to that record.

3. Activate insights

Clients use the cleaner, enriched fan data to support segmentation, targeting, and more relevant campaigns, such as military appreciation nights and family packages.

This connected process gives sports and entertainment organizations a more accurate, credible, and actionable view of their fans, so teams can better understand their audiences, tailor outreach, and create more relevant engagement opportunities.

“FanThreeSixty partnered with Experian for the accuracy and coverage of their data, backed by their reputation as an industry leader in third-party data. Integrating Experian data into our Fan Data Platform gives our clients a more complete picture of their fans without gaps. This expands the reach of marketing campaigns, deepens fan engagement, and ultimately drives revenue growth.”

FanThreeSixtyJerad Frey, Co-CEO


What results did FanThreeSixty see from Experian’s Offline Identity Resolution and Experian Enrichment?

  • 490,449 new postal addresses found: Experian helped FanThreeSixty identify 490,449 new postal addresses, giving clients more complete contact information and reducing wasted outreach caused by incomplete or duplicate records.
  • 7.6 million records enriched: Experian enriched 7.6 million records with 34 million additional data points, helping FanThreeSixty clients better understand their fans and build more relevant campaigns, including military appreciation nights and location-based outreach.
  • More precise audience engagement: New postal addresses and enriched geographic data help clients understand where fans are located relative to stadiums, arenas, and theaters, supporting more informed targeting and audience planning.

FanThreeSixty also points to something less easily quantified: confidence. The company views Experian’s brand recognition, credibility, and reputation as part of the value of the relationship, reinforcing confidence in the data powering its platform.

Why does this matter for marketers?

Fan data is only as useful as it is accurate, connected, and complete. A sports or entertainment brand can collect fan information from every ticket sale, every merchandise purchase, and every mobile app interaction, but if those records stay fragmented, the organization is left guessing about who its audience actually is. Pairing identity resolution with data enrichment closes that gap, turning scattered data points into a single, trustworthy view that supports better segmentation, sharper targeting, and campaigns that actually reflect the fans they’re meant to reach.

Download the full FanThreeSixty case study to see the complete results and methodology behind this collaboration.

Explore related case studies to see how other sports, entertainment, and consumer brands use Experian’s identity resolution and data enrichment to build a more complete view of their audiences. Contact us to talk through how identity resolution and data enrichment could strengthen the fan or customer data your organization already has.

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FAQs

Experian’s Offline Identity Resolution cleans, standardizes, and links fragmented consumer records into one accurate profile for each person. For FanThreeSixty, that meant turning fan data scattered across ticketing, merchandise, and mobile app systems into a single, trustworthy view of each fan.

Experian Enrichment adds demographic and behavioral attributes to the fan or customer data an organization already owns. With more than 5,000 attributes and advanced matching, it helps you understand consumers more fully, build stronger segments, and make more informed decisions.

FanThreeSixty uses Experian’s data, identity resolution, and data enrichment capabilities to build a golden record for demographic and contact information as part of its technology stack. After FanThreeSixty ingests client data into its Fan Data Platform, Experian helps clean, match, and enrich each profile before FanThreeSixty presents the more complete fan insights back to clients.

Clean, enriched fan data matters because passionate fan communities drive attendance, merchandise sales, sponsorship value, subscriptions, and long-term loyalty. When fan records are clean, connected, and enriched, sports and entertainment organizations can understand their fans accurately enough to act on that loyalty and grow revenue.


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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. 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