Increment, iterate, and innovate
Accelerate time to value
Delivering faster doesn’t guarantee you will also deliver value. Agile developers combine rapid feedback and iteration to accelerate time to value. Split correlates the impact of each iteration on technical, product and business metrics for data-driven product decisions.
Lower the transaction cost of change
Application changes are not limited to the UI. Backend systems continually evolve. Transitioning to microservices, migrating a database, or improving algorithms are disruptive changes fraught with risk. Split’s unique full stack implementation measures change anywhere in the application to reduce risk and free up developer time.
Develop locally, measure globally
The power of measurement goes beyond improving a single metric. Product teams can get tunnel vision when it comes to measuring new functionality, but local optimization shouldn’t create global degradation. Split experimentation provides a holistic view of product metrics across the business to ensure change doesn’t negatively affect other teams or applications.
Essential to your data strategy
Evidence-based development requires a platform you can trust. Split pulls in data from any source to automatically correlate new features with events tracked by your data warehouse or product analytics tool. Democratize data access so everyone on the team can view the metrics dashboard and collaborate on product decisions.
Metrics that matter: Foster a culture of continuous improvement
- Analyze the impact of every feature on hundreds of business, product, and operational metrics in real time
- Robust set of metric types, including sum, count, and average
- Ingest data from any source to determine feature impact
Rigorous statistical analysis
Split’s statistics engine provides causal analysis and guards against misleading results with advanced capabilities such as:
- Maintaining the user experience across all their devices
- Randomization applied independently to each feature
- Applying treatments for anonymous vs. logged in users
Experimentation at scale
Split serves billions of impressions, helping organizations of all sizes to rapidly turn ideas into products.
- Statistical analysis runs across millions of data points
- Ingest externally tracked event data to enhance experiment metrics
- Integrates with collaboration, DevOps, and analytics tools you already use
Release faster with Split in 4 easy steps
Split helps teams make smarter decisions
Split’s full-stack experimentation platform has been built with engineering and product teams in mind. It’s robust architecture and rich feature set integrates into our internal platforms and helps power experimentation across our entire engineering organization.Laura SchafferProduct Manager, Twilio
Split provided the platform and integrations we needed to run full stack experiments for key technical and customer experience questions.Julian GanguliPrincipal Data Analyst, Surfline
On any given day we have hundreds of thousands of people coming to the website. That’s a lot of impression data. We needed to be able to determine what variation of a feature customers were going to get or when an anonymous person becomes a customer and Split takes care of all of that for you. Every time you visit thredUP.com, you’re fetching Split treatments.Dan DeMeyereVP Engineering, thredUP