Case Study: Strava Centralizes Data and Improves Marketing Decisions with Fivetran

Strava Centralizes Data, Runs With the Results

Strava, the fitness tracking app and website, needed a better way to understand the customer journey and evaluate which marketing channels to invest in, but its small engineering team couldn’t spare a full-time resource to extract and maintain data from external marketing applications. Using Fivetran with Snowflake and Tableau, Strava moved away from siloed, manually gathered data and centralized its marketing and attribution data for easier analysis.

With Fivetran, Strava quickly ingested data from sources like Google Ads, Facebook Ad Insights, Apple Search Ads, and Zendesk into Snowflake, then used Tableau for reporting and analysis. The result was faster, more efficient decision-making: Strava built attribution models, analyzed user behavior across channels, and used retention, monetization, and engagement metrics to scale down underperforming channels and increase investment in better-performing ones.

Strava

Michael Li

Data Scientist