Case Study: Shift achieves faster, data-driven product decisions with Amplitude Analytics

Uncover Opportunities for Product Improvement Through Self-serve Data Analytics

Shift, a used-car marketplace, needed a faster way for product managers and designers to answer data questions without relying on analytics tickets or waiting on data scientists. With a long, complex car-buying journey and a growing team, the company needed self-serve insights to improve conversion and make better product decisions.

Shift turned to Amplitude Analytics and later used Amplitude Experiment, segmentation, cohorts, User Lookup, and funnels to enable self-service analysis and A/B testing. The result was faster decision-making, broader analytics adoption, and stronger confidence in data across the organization; Shift also reported solid year-over-year gains in its Visitor to Lead metric, with the Car Comparison feature showing a statistically significant lift and rolling out to 100% of shoppers.

Shift

Mark Brenneman

Senior Product Manager