Used For

• +**Your feature rollouts crash production at 2am** → Test with 10% of users first, catch bugs before they hit everyone, sleep through the night
• +**You're changing button colors and headlines hoping something works** → Split-test everything, get actual data on what increases conversions
• +**New app features confuse half your users** → Roll out gradually with feature flags, turn off instantly if things go wrong
• +Stats Engine tells you when results are trustworthy - no more "is this sample size big enough?" guesswork
• +Stacks multiple experiments per feature flag - test mobile vs desktop variants without separate deployments

Best For

• >Your last three feature launches broke something and your CEO is asking uncomfortable questions
• >You're making website changes based on gut feelings and losing money you can't measure
• >Hit 100k+ monthly visitors and ready to spend $30k+ to stop guessing what works

Not For

• -Teams under 50 people or sites with less than 10k monthly visitors — you need serious traffic volume for the statistics to mean anything
• -Anyone hoping for simple drag-and-drop testing — you'll need developers to implement feature flags properly
• -Companies wanting transparent pricing — everything is custom quotes and the add-ons will surprise your budget

Pairs With

• *Google Analytics (where you'll verify that your conversion lift actually shows up in the real numbers)
• *Segment (to feed customer data for personalization rules, though expect 5-10 second delays on high traffic)
• *Slack (where your team celebrates test wins and complains about complex experiment setups)
• *LaunchDarkly (what teams switch to when they only need feature flags without the experimentation overhead)
• *Salesforce (to sync user segments for VIP customer personalization campaigns)
• *Shopify (for e-commerce A/B tests on product pages and checkout flows)

The Catch

• !That custom pricing starts around $20k/year and can hit $100k+ once you add personalization features and go over traffic limits
• !Your developers will spend 4-8 hours on initial setup, and marketers need 1-2 weeks to master the rule stacking without breaking things
• !The visual editor works great until you want advanced targeting — then you're back to writing code and SDK integrations

Bottom Line

Enterprise-grade experimentation that costs enterprise prices even if you're not enterprise-sized.