Case Study: Kindred reduces analytics costs and unlocks granular customer insights with Snowplow

How Kindred Optimized its Product Analytics Infrastructure & Costs with Snowplow

Kindred Group, a leading online gambling provider behind brands like Unibet and 32Red, needed a better way to consolidate behavioral data, improve customer journey analysis, and control rising analytics costs. After struggling with multiple tools and limitations in Adobe Analytics and Oracle, Kindred turned to Snowplow CDI to gain more granular, accurate data for product analytics.

Snowplow helped Kindred go live in just eight weeks, consolidating and validating data in AWS Redshift with self-serve modeling and automated validation. With Snowplow, Kindred now processes 2.1 billion events each quarter, improved data accuracy to 97%, increased data granularity 3x, and reduced infrastructure costs by 18%, while unlocking deeper attribution and customer journey insights.

Kindred

Lesya Liskevych

Head of Product Analytics