This looks cool and I'm excited to try it in a Rails project. But, mainly, this post highlights my frustration with most analytics tools. I have tried MixPanel and I'm currently paying $99/mo for Kiss Metrics (about to cancel). Frankly, I don't have the time to get neck-deep into one of these services, integrate it, and figure out how to turn the data into revenue-generating actions. And that's setting aside the risk…
Yeah, me too man. There's also some frustration over here about what do these analytics actually mean. Like I have so much data coming at me from everywhere now, what exactly is it telling me. One neat presentation that helps provide some focus is Dave McClure's metrics 4 pirates. http://www.slideshare.net/dmc500hats/startup-metrics-4-pirat... I've seen this a bunch of times, but I like that focus on Activation and R…
That's what led me to create [redacted]. I don't want this to be a plug, but one idea we're playing with is Release Cohorts. Instead of just looking at new users in cohorts, I believe we should also look at existing active users and existing inactive users, and group them based on your release cycle (given the users are experiencing a common feature set).
This comes from the idea that features are released for one of three reasons: 1) Improve new user activation, 2) Continue to engage existing users and 3) Reactive existing inactive users.