Data Integration for Spectator Sports

Unify fan data from ticketing, CRM, point-of-sale, and digital channels into cloud warehouses for ongoing engagement and personalized experiences.

Talk to sales

Industry-Specific Outcomes

Unified fan profiles from ticketing, CRM, and digital touchpoints

Up-to-date concessions analytics for inventory and revenue optimization

Player tracking data integration for broadcast and coaching analytics

Cross-platform sponsorship measurement and attribution tracking

Predictive ticket pricing using historical sales and performance data

Data engineering resources

Popular Connector Workflows

Source System

Destination

Use Case

Salesforce

Snowflake

Fan engagement analytics and season ticket holder insights

Stripe

BigQuery

Payment processing and concessions revenue reporting

Facebook Marketing

Snowflake

Social media engagement and campaign performance tracking

PostgreSQL

BigQuery

Ticketing system data for attendance and revenue analytics

Instagram

Snowflake

Social content performance and fan sentiment insights

Spectator Sports Data Integration Stack

Unify ticketing, point-of-sale, CRM, and streaming platforms into cloud data warehouses for current fan analytics.

What's different from Stitch Data or Informatica is the way that we can configure Airbyte connections and Airbyte entities through code. That's a huge plus to us as data engineers, because we are used to checking code and being able to manage changes from Github. With Airbyte, we were able to pull down all the historical payment information from Shopify and Stripe within one week.