Fan engagement platform integrating ticketing, social, and merch data
Tradable Bits operates a fan-engagement CDP for sports teams, music festivals, and promoters, anchored in Python + PostgreSQL + Metabase. The tech stack and active project list reveal a company in active investment in data infrastructure—building automated data quality checks, reconciling ticketing integrations, and expanding ML-driven analytics. Hiring is sales-heavy (4 open roles) but accelerating across data and engineering, while internal pain points cluster around integration discrepancies and data accuracy, suggesting the platform's core value depends on solving data-aggregation friction.
Tradable Bits provides a suite of engagement tools designed to convert casual fans into repeat spenders. The platform centralizes fan data from ticketing systems, social channels, and merchandise vendors, offering 50+ pre-built campaign templates and direct integrations with 60+ third-party tools used in sports and entertainment. The company sells to teams, festivals, and event promoters seeking to build first-party fan databases and run targeted email, SMS, and social campaigns. Operations span Canada and Mexico; the company is mid-sized (51–200 employees) and has been active since 2010.
Python, PostgreSQL, SQL, Metabase, Tableau, Power BI, HubSpot, Slack, and integrations with Meta, Google, TikTok, Snapchat, X, and Spotify for social and streaming data.
AI chatbot automation, automated data quality checks, Metabase dashboards, data pipeline enhancements for reporting, ML-driven analysis, and ticketing data reconciliation.