Fabric was a much better analytics tool than Google Analytics.
It's better because:
Instant crash reporting reduces release time anxiety. iTunes and Google analytics need 24 hour collection period.
Fabric can offer Fastlane and Beta -- Toolkits that help deal with distributing builds to testers and releasing apps. Google has nothing to compete with here.
Whatever way Fabric seem to define active users and sessions they seem to produce more accurate reporting while Google numbers integrated with the exact same app produce higher more ego stroking numbers.
Really? That's interesting because for our purposes, Fabric's graphs and windows into the data were much too general and coarse-grained.
For instance, there is no way to see all the data! They only give you the first page of top results. I asked them for pagination and they said it was "technically difficult." Whereas with Google Analytics, I could dive as deep as I wanted into the data. Even when I wanted to isolate a unique, rare event out of thousands.
Plus I could search GA, and correlate different events and properties. Fabric only gave the very basic essential graphs. Which might be great for monitoring a giant app like Twitter, where individual events are just noise, but when you're just getting started with 100-1000 users, you want to see everything those users are doing, especially the outliers.
It's better because:
Instant crash reporting reduces release time anxiety. iTunes and Google analytics need 24 hour collection period.
Fabric can offer Fastlane and Beta -- Toolkits that help deal with distributing builds to testers and releasing apps. Google has nothing to compete with here.
Whatever way Fabric seem to define active users and sessions they seem to produce more accurate reporting while Google numbers integrated with the exact same app produce higher more ego stroking numbers.