Their Pitch
Measure what ships. Ship what matters.
Our Take
It's a testing platform that lets you roll out features to small groups first, measure if they actually work, then decide whether to expand or kill them.
Deep Dive & Reality Check
Used For
- +**Your last feature launch broke checkout for 30% of users** → Roll out to 5% first, catch problems before they hit everyone
- +**You shipped a 'better' signup flow but conversions actually dropped** → A/B test old vs new, get real data on what works
- +**Your team argues about feature priorities with zero data** → Track which features actually drive revenue and renewals
- +Session replays show exactly how users interact with each feature version
- +Company-level targeting for B2B - test features on whole organizations, not just individual users
Best For
- >Your team ships features but has no clue if they actually help users or hurt revenue
- >You're tired of rolling back broken features at 2am because you shipped to everyone at once
- >Your CEO keeps asking 'did that new feature actually increase sales' and you're guessing
Not For
- -Solo founders or teams under 20 people — you're paying for statistical analysis you don't have enough traffic to make meaningful
- -Non-technical teams without developers — this requires code changes and API setup, not point-and-click
- -Teams that ship features and don't measure results — adds complexity without changing how you work
Pairs With
- *Amplitude (where your existing user behavior data lives, Statsig connects to avoid duplicate tracking)
- *Slack (where your team gets experiment results and argues about statistical significance)
- *Snowflake (runs experiments directly on your data warehouse without moving data around)
- *GitHub (where feature flags get deployed and your developers actually implement the tests)
- *Mixpanel (for the product analytics you're already tracking, Statsig adds the experimentation layer)
- *Datadog (to monitor if your feature rollouts are breaking things in production)
The Catch
- !The free plan locks you to one project, so agencies or multi-product companies hit upgrade pressure fast
- !You need enough users to make experiments statistically meaningful - if you have 100 weekly users, you'll be waiting months for results
- !Setting up proper event tracking takes engineering time upfront or your analytics will be garbage
Bottom Line
For teams that want to test features scientifically instead of crossing their fingers and hoping.