Quickly connect to existing data pipelines
Split ingests events from a wide variety of data sources and matches them to your feature flag data. Split automatically measures the impact of every feature that you release.
Import event data from your favorite tools. Split has integrations out of the box for Segment, mParticle, Sentry, and Google Analytics.Explore Integrations
Easily customize to your business objectives
Traffic types define the unique IDs you care about. Users? Accounts? Patients? Logged-in shoppers? We’ll map to what matters in your app.
Measure once, match to any KPI
Metrics aggregate raw event streams. Define them to meet your exact definitions — sum, count, ratio, percent, average, per user, and more.
Metric properties give you even more control. Collect an event once that includes multiple attributes and then create precisely tailored metrics.
Count of checkout events where the purchase was a meal kit? Done.
Enrich external data sources
Our SDKs generate an impression each time a feature variant is exposed to a user, which you can use to run an email campaign or analyze customer cohorts.
Easily export impressions to destinations such as Segment, mParticle, and Google Analytics.
Want to use other systems? Our impression listener can forward data anywhere.Explore Integrations
Create a culture of data-driven development
Imperfect Foods powers their feature release and experimentation strategy with Split and data pipeline integrations.Read the Case Study