Statsig vs. Togglz

Statsig is well suited for running straightforward a/b tests on frontend deployments. We've actually used it to log events on our backend and used the HTTP API to integrate with tools like Hubspot to evaluate email campaigns

Incentivized

• Clear experimentation insights and details
• Experimentation health and performance ratings
• Statistical analysis of in flight work

Incentivized

• Complex data science focussed UI

Incentivized

For the most part it is pretty easy to use. - There are some quirks with the javascript SDK (getExperiment().getValue?). - The Events vs. Metrics design pattern is complex, and creating new Metrics from Events can be frustrating if you are trying to use event metadata - It's really frustrating not to be able to link Static IDs (before a user signs up) to User IDs, in order to follow users all the way through onboarding, or to log events that occur for signed in users when you are exposing the experiment to users before they've signed up

Incentivized

Incentivized

• We uncovered several feature releases that were causing a negative impact on our product activation rate by running exclusion experiments

Incentivized