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Amplitude is clearly built around a powerful analytics engine that allows very flexible segmentation, cohorts, and filtering. This makes tightly targeting experiments fairly straightforward and, coupled with flexible custom dashboards, allows deep analysis of the results right inside Amplitude. Feature Experimentation and Feature Flags being based on the same engine makes integrating with amplitude simpler. Amplitude has quickly become the cornerstone of the growth team's data-based decision making. We're in there pretty much every day. Review collected by and hosted on G2.com.
My biggest grievance is the UI can be slow to navigate. Secondly, I couldn't find anywhere in the documentation that explains clearly which combinations are treated as AND vs OR, for filters and segments (for analyzing after,) so had to figure it out by trial and error. It all makes sense and all the logical operators I could ask for are there, but filter/segment query semantics could be better documented IMHO. Review collected by and hosted on G2.com.
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