Premier League club digitizing scouting, player evaluation, and fan commerce
Newcastle United operates a dual-track tech strategy: a commerce and CRO stack (Shopify, Magento, AB Tasty, Monetate) supporting stadium ticketing and hospitality, paired with an emerging data-science and ML capability (Python, PyTorch, Snowflake, Hugging Face) focused on player recruitment and performance modeling. Active hiring across data, marketing, and ecommerce—with data roles accelerating—suggests the club is scaling analytics from transfer-market forecasting toward broader player evaluation and scouting integration.
Newcastle United is a Premier League football club based in Newcastle upon Tyne, founded in 1892. The club operates St. James' Park, a 52,000-capacity stadium, and generates revenue through matchday attendance, hospitality packages, stadium tours, and team-building events. Beyond the pitch, the organization runs digital commerce operations (ticketing, merchandise, events) and is developing in-house data and analytics functions to support recruitment strategy, player performance evaluation, and scouting workflow. The club operates with 51–200 employees across player-facing, commercial, and operational functions.
Newcastle operates Shopify, Magento, and BigCommerce for ecommerce; AB Tasty and Monetate for A/B testing and personalization; Python, Pandas, PyTorch, and Snowflake for data science; Salesforce Marketing Cloud and Braze for marketing automation; and Hudl for video scouting.
Key projects include CRO roadmap and A/B testing program (conversion improvement), player skill evaluation and EPV modeling, scouting data management and video library maintenance, and customer case-management system implementation.
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