Case Study: Imperfect Foods doubles weekly order volumes with Split experimentation

Imperfect Foods doubles weekly order volumes in 6 months with Split

Imperfect Foods, an online grocery delivery service, needed a data-driven experimentation framework to optimize their product and website without slowing development or risking user experience. They turned to Split's feature management and experimentation platform to establish this process efficiently.

Using Split, the team implemented controlled A/B tests and feature flags, enabling rapid, low-risk testing of new features like subscription options. This experiment-driven approach allowed Imperfect Foods to make fast website changes and data-backed decisions. The results included a doubling of weekly order volumes within six months, increased conversion rates, and greater operational agility, driving significant revenue growth.

Imperfect Foods