Case Study: Picnic achieves faster, data-driven product decisions and personalized in-app experiences with Snowplow

How Picnic tracks in-app behavior and delivers enhanced product features with Snowplow

Picnic, the world’s fastest-growing online supermarket, needed a data infrastructure that could keep up with rapid scale and give full ownership of in-app behavioural data. To track every user action, inform product decisions and decide which new features to roll out, Picnic adopted Snowplow’s event-level tracking and analytics platform.

Snowplow ships granular, custom events into Picnic’s AWS account, enabling detailed usage analysis, rapid A/B testing, personalized AI-driven recommendations and marketing attribution via Adjust. The Snowplow solution scaled with Picnic’s growth—handling roughly 85 million events per month—supported a more-than‑5x increase in customer base and faster, data-driven feature decisions so engineers can focus on product rather than infrastructure.

Picnic

Dimitar Nedev

Data Infrastructure Lead