Case Study: Tripaneer achieves complete customer-journey visibility, accurate attribution, and real-time experimentation with Snowplow Insights

How Tripaneer uses event-level data to map multi-channel journeys with Snowplow

Tripaneer, a fast-growing travel marketplace, faced an analytics bottleneck: their homegrown pipeline and GA sampling couldn’t capture complete, raw event-level data needed for accurate multi-channel attribution, cross-device customer stitching, and fast experimentation. To solve this they selected Snowplow (Snowplow Insights) to replace their legacy collection and give full ownership of all client- and server-side events.

Snowplow delivered a first‑party, immutable event pipeline that let Tripaneer reprocess historical logs, stitch cross‑device journeys, and build a custom attribution model. With Snowplow, Tripaneer now matches website metrics to bookings, runs 10–40 real‑time experiments concurrently, and uses live signals to trigger remarketing and monitor experiments — materially improving attribution accuracy and enabling data-driven personalization and growth.

Tripaneer

Steven Oliemans

Head of Analytics