How Corrily measures experiment success.
Corrily’s Experimentation Platform supports fully self-serve analytics on the dashboard. For all kinds of experiments, we provide the following analytics charts out of the box. Custom metrics can easily be added depending on your business needs. Depending on your business model, some of these analytics charts may not apply to you. Corrily only shows charts which are relevant to your business model.
As the experiment approaches convergence, Corrily’s models grow more certain about winning treatment(s). At the end of an experiment, you can compare key metrics such as ARPU, LTV, MRR, Conversion Ratio across each treatment, the trade-off involved (for e.g. ARPU increased by 10% but conversion dropped by 5%), as well as push the changes across specific countries or audiences and for specific cohorts of users (for e.g. apply a price change only for new users to the pricing page)