Create customer impact

Test out new ideas directly with users and rigorously measure their impact on your business goals.

Split is the only platform that can ingest data from any source, speeding up data analysis and customer insights.

Measure the impact of every feature

You built it. But did it work? There’s no need to guess over results. Split automatically calculates the impact of every feature on every metric.

Forgot a metric? We can even calculate it for you after the fact.

Assign key metrics for the primary goals you want to achieve. Iterate until you nail it.

Guardrail metrics protect you from unintended consequences, revealing when new features are worse than the original.

Make every feature an experiment

Split fully integrates feature flags with the data you need to run and analyze experiments. It’s full stack, so you can support frontend, backend, and mobile teams with one platform.

Split automatically creates an experiment for every feature you code. Support simple feature rollouts, randomized experiments, and advanced user segmentation.

Software experimentation results
Results of a software experiment with three variations and the impact on revenue per user.

Experimentation best practices

Learn the requirements to experiment at scale, from statistical methods to measurement strategies.

Download the O'Reilly eBook
O'Reilly eBook 'Understanding Experimentation Platforms"

Rigorous data you can take action on

Software is complicated. With so many variables, causation—not correlation—is what matters.

Split measures statistically significant impact in controlled, randomized experiments that you can confidently base business decisions on.

With built in best practices such as experimental review periods and sample ratio checks, you don’t need to be a data expert to run a sound experiment.

Experimentation detailed results
A tabular set of experimentation results for three variations and their impact, mean, 95th percentile, and max.

Connect your data, we’ll handle the rest

Capture data from any source with out-of-the-box integrations—Segment, mParticle, Google Analytics, and Sentry—in addition to tracking data directly from the SDK or via API.

Split manages data attribution with an advanced platform that maintains consistent experiment design across multiple devices, concurrent features, and version changes.

Read the docs

Foster a culture of experimentation

Go Daddy created a culture of engineering experimentation with a rigorous rollout and impact review process across dozens of teams.

Read the Case Study
GoDaddy

Create greater impact

Move from ideas to great software experiences faster with a comprehensive experimentation platform that any engineer can use.