Case Study Twilio turns to Split as a key component of their experimentation capability to drive faster product decisions Twilio started using experimentation as a way to quantitatively improve product decision-making, to make decisions quickly as well as drive key metrics like sales opportunities and product adoption. As Twilio looked to expand experimentation enterprise-wide, and to more complex use cases, they turned to Split to solve granular targeting and providing necessary data around what variation of a feature a user experienced. Split seamlessly plugged into Twilio’s internal employee dashboard, making it easy to adopt experimentation across the engineering team. “Split’s full-stack experimentation platform has been built with engineering and product teams in mind. Its

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