Been digging into our user data lately. Noticed some segments convert way better than others.
Wondering how other folks approach segment analysis. What metrics do you focus on? Any specific tools or methods that have worked well?
Always looking to refine our process and boost those conversion rates.
Look at what features people actually use. Ignore fancy tools. Test stuff and see what sticks.
When I’ve done segment analysis, I always start with cohorts based on signup date. It’s simple but powerful.
Look at how different cohorts behave over time. Which ones stick around? Which ones convert faster?
One time, we noticed users who signed up during a promo converted way better long-term. Changed our whole acquisition strategy.
Also, don’t ignore negative segments. Finding out who’s not converting can be just as valuable.
Avoid analysis paralysis though. Pick a few key segments, test some tweaks, measure the results. Rinse and repeat.
And yeah, fancy tools are nice, but I’ve gotten solid insights just from spreadsheets and basic SQL queries. Use what you’ve got.
Check which features paying users like. Track how long it takes to convert. Simple stuff works best. Just test and adjust as you go.
Focus on key actions that lead to conversions. Track how different groups behave in your app.
I usually look at things like:
Keep it simple. Run small tests to see what works for each group.
Start with the basics: acquisition source, device type, and user demographics. These often reveal quick wins.
Look at time-to-conversion for each segment. Faster converters might need a different funnel than slow burners.
Compare feature usage between converters and non-converters. You’ll spot what drives value for paying users.
Don’t overcomplicate it. Pick 3-4 key segments, run experiments, and iterate. I’ve seen teams waste months on complex analyses when simple tests would’ve moved the needle faster.
Tools like Mixpanel or Amplitude make this stuff easier, but you can get solid insights from basic SQL queries too.