The Challenge

• PlayOn's data environment spans multiple acquired companies, dozens of database systems, and wide tables exceeding 40 columns, a complexity that broke every AI agent they tried. Meanwhile, executives needed hourly updates on peak Friday nights, forcing analysts into weekend on-call rotations.
• PlayOn Sports deployed TextQL to bolster executive decision-making across its seasonal streaming business. With 70% of annual revenue concentrated in a 3-month football season, leadership needed accurate, real-time analytics without relying on on-call analysts.

Solution

• PlayOn deployed Ana against their Snowflake data warehouse to automate weekly Friday board updates on streaming bookings, active subscribers, ticket sales, and YoY growth. Executives now get intraday snapshots via Slack without waiting for a human to pull the numbers.
• Ana succeeded where Snowflake's native Cortex and Sacoda both failed: handling complex, multi-source data accurately under real-time pressure.
• **Use Cases**
• User Engagement Analytics: User engagement patterns, MAU/DAU tracking, feature adoption, click analysis, user population segmentation
• Business Metrics: Subscription analysis, ticket sales, payment methods, donation tracking, pricing optimization, churn investigation
• Data Validation: Venue/team data mapping, ID reconciliation across platforms (VNN, MaxPreps, GoFan), data integrity checks

Impact

TextQL transformed PlayOn from reactive, analyst-dependent reporting to always-on intelligence — giving leadership real-time visibility during their most critical revenue windows.