Case Study: Peak achieves data-driven product development and neuroscience insights with Snowplow

How Snowplow Enabled Peak To Grow From 1 To 20 Million Users With Full Control Of Their Data

Peak is a neuroscience-driven cognitive training app that personalises games for memory, problem solving and other mental skills. Facing rapid user growth and the need to collect rich event-level data to personalise experiences, run rigorous A/B tests, and support academic research, Peak partnered with Snowplow to capture high-fidelity event data across its product.

Snowplow’s event-based tracking (in place since July 2015) feeds raw events into Amazon Redshift where Peak models data, shares dashboards in Mode Analytics and builds predictive models in R—enabling around 10 concurrent A/B tests, biweekly releases, and scientific analysis of millions of users’ game scores. The Snowplow solution lets Peak create new events and schemas on the fly, assess feature impact for rollouts or rollbacks, scale personalised neuroscience-driven development across a 20 million-download app, and remain compliant with EU data regulations.

Peak

Thomas in’t Veld

Lead Data Scientist