Optimizely, vwo, abtasty type of tools were built to allow self serve experimentation to marketers, and don’t provide the depth and quality of analysis that most product experiments need. They create separate data planes that usually limit the type of metrics you can use, leading to most tech firms just rolling their own analysis.
Eppo is built for product experiments and data teams, with an emphasis on trustworthy, deep analysis. The initial data/metrics plane is sourced from data warehouses via SQL, and the workflow and stats engine is built so that engineers, PMs, designers can self serve experiments while making statistically sound, scientifically valid decisions.
Let me know if that makes sense, happy to elaborate
