Case Study: Imperfect Foods doubles weekly order volume with Split experimentation
Key results
The challenge
Imperfect Foods, an online grocery delivery service focused on reducing food waste, wanted a data-driven approach to product development. Its initial attempt to build an in-house feature-flagging system did not deliver the expected value, leaving no efficient way to deploy and test features without slowing development or risking the user experience.
The solution
Imperfect Foods used Split's feature management and experimentation platform to run controlled A/B tests and make website changes via feature flags without code pushes. Dynamic configurations let non-technical product managers make rapid changes.
“Split gave us the infrastructure we needed to experiment at scale. It's been integral to our growth, and we look forward to continuing to work with them as we scale.”
PCPatti ChanVP Product, Imperfect Foods
The results, in context
Scaling experimentation with Split, Imperfect Foods doubled its weekly order volumes over the past six months. Experiments on product subscriptions drove higher order volumes and revenue growth while improving developer velocity.