Case Study: FanFight achieves automated, cost-effective, high-performance data pipelines with Hevo Data

FanFight Builds Next-level Gaming Experience with Efficient & Cost-effective Data Stack

Fanfight, a Series A–funded fantasy sports startup with about 6M+ players, was struggling to aggregate and analyze roughly 50M events per day spread across multiple sources—some of which (like CleverTap) required manual integration even after using Alooma. To solve this, Fanfight turned to Hevo Data’s no-code, automated data pipeline platform.

Hevo Data set up multiple pipelines for Fanfight using features such as automated data pipelines, Python-based transformations, and auto-mapping to load unified data into Amazon Redshift for reporting in Google Data Studio and Tableau. The result: a high-performance, cost-effective analytics stack that eliminated manual integrations, consolidated daily event data at scale, and enabled faster, reliable reporting for product, marketing, and retention teams.

Fanfight

Saurabh Khurana

Data Analyst