Proem Sports - 2026 Pricing, Features, Reviews & Alternatives

Proem Sports Fan Data Platform is a fan intelligence solution designed for sports organizations and live event marketers. The platform consolidates fan data from multiple touch points into a unified system that provides a detailed view of interactions and behaviors across seasonal cycles. It addresses scenarios where fan relationships extend over seasonal gaps and require contextual understanding beyond conventional customer relationship management approaches. The solution supports clubs, leagues, multi-franchise organizations, live event producers and brands seeking to translate emotional fan engagement into sustained growth through season aware campaigns and game day triggers.

The solution comprises four integrated modules that work together to enhance fan value. The Unify and Acquire module merges interactions from ticket purchases, mobile applications and email communications into single fan profiles while capturing data through interactive experiences such as prediction contests and sign-up processes. The Analyse and Segment module delivers season aware intelligence by tracking fans across inactive periods, categorizing individuals by journey stage and calculating fan lifetime value across multiple seasonal cycles. The Engage and Automate module enables triggered campaigns based on match days, fan milestones and behavioral signals using pre-built playbooks drawn from more than thirty seasonal data sets or bespoke campaigns created within minutes.

Proem Sports Fan Data Platform connects with existing technologies through pre-built connectors for ticketing systems, merchandise platforms and fan databases common to sports organizations. The system adheres to GDPR, DPDP and CCPA requirements and encrypts data at rest and during transit to protect large volumes of fan records while still supporting personalized interactions. The API framework supports the connection and capture of consented first-party data alongside vendor and ticketing sources, creating a unified data foundation that balances privacy compliance with personalization capabilities.