Amplitude recently announced their new Milestone Analysis. While doing this analysis can be useful in some cases, it’s nowhere close to uncovering your true aha-moment. To uncover that, you also need to:
- Limit the behavior to a specific timespan. For example, playing 10 songs in the first two hours.
- Make sure you are working with unbiased data. Say you want to know how many songs played, in the first two hours, leads to payment. You should then only count the number of songs played before people converted to payment. If you don’t, you will overstate the number of play songs probably, because people who convert to a paid subscription are most likely to play a lot more songs.
- Make the whole process automatic and robust. With Amplitude you’ll have to do this analysis manually by hand, using trial and error. This can easily lead you to make mistakes and base conclusions on biased data. In short, you may end up making the wrong product decisions.
https://www.stormly.com/blog/aha-moment-amplitude-vs-stormly
The right link to the article: https://www.stormly.com/blog/aha-moment-analytics-amplitude-vs-stormly