"Thanks to Split, we were able to learn that the risky version actually had the highest adoption by our customers while keeping overall signup conversion steady."

“The integration with Amazon S3 helps us track all the events that happen offline. In our case, an example is someone investing money on our own bank account. That cannot be tracked through Segment, but we obviously aware of when someone sends us the money. An integration with Amazon S3 …

"90% of our changes are behind a split (feature flag)."

"The system is very reliable, it has a good number of integrations already in place and works nicely with CDPs. The support team is amazing and they answer questions in a very timely manner. Also very helpful are the governance tools. The python Admin API has also been very helpful …

“By decoupling experimentation decision-making from engineering Resources [with Dynamic Configuration], product teams become empowered to make fast and flexible changes to the product with little to no technical knowledge.”

"Split has been instrumental in our push to true agile processes. The ability to divorce deployment from release via feature flags has had an outsized impact in our ability to deliver new products to market faster than our competitors. With the addition of configurations we can externalize values and settings …

"Split has transformed the way that we deliver software. Granular targeting of features to customers has made us more responsive, and data from Split gives us an audit trail in case any issues arise."

“Split provided the platform and integrations we needed to run full stack experiments for key technical and customer experience questions.”

“Without Split, rollbacks could take a couple hours to a day. And after that, there might still be a lot of code cleanup. Split helped us increase our engineering velocity and code stability.”

"Split’s full-stack experimentation platform has been built with engineering and product teams in mind. Its robust architecture and rich feature set integrates into our internal platforms and helps power experimentation across our entire engineering organization."

"One of our first experiments was a great learning experience. It prevented us from introducing something that we thought was good, but actually would have likely given us a negative impact. We’re now doing another iteration to get it right."

"We use feature flags and run experiments a lot more because it’s easier now with Split. We can target a random sample size. We can increment the size of that sample really easily, and we can toggle it off immediately if there’s an issue."

"To balance rapid development with the high availability our customers demand, we needed total control over releasing new functionality. To build and maintain such a system would have taken extensive time and resources. With Split, we're getting the features we need today along with the help of a team of …

"With Feature Monitoring, our engineering team can deploy rapidly while ensuring that new functionality won’t negatively impact our core KPIs such as page load time and errors per user."

"The kill button is super easy. Now I just, ‘whoop’, kill it. If we are seeing something wonky, it makes it so easy to turn off. When we’ve triaged the feature we can go back and re-enable it."