I’ve noticed some heated discussions around new segmentation approaches for mobile users.
Some swear by behavioural segmentation, others by predictive analytics.
What’s your take on the most effective methods? Curious if anyone’s seen major wins from newer techniques.
Behavioral segmentation is where it’s at. Forget the hype around fancy predictive models. I’ve seen real results by grouping users based on how they actually use the app.
Look at engagement patterns, feature usage, and in-app actions. Segment accordingly and tailor your messaging and offers. Way more effective than guessing what users might do.
Keep it simple. Start with 3-4 core segments like power users, casual users, and at-risk churners. Optimize your funnel and retention efforts for each. You’ll see quick wins in conversion and LTV without overcomplicating things.
Behavior is good, but don’t ignore demographics. We mix both. Helps target ads better and tweak features. Nothing too fancy, just the basics.
I’ve had success with RFM segmentation - recency, frequency, and monetary value. It’s straightforward but effective.
Group users by how recently they used the app, how often they engage, and how much they spend. Then tailor your strategies for each segment.
It gives you actionable insights without overcomplicating things. You can easily set it up with most analytics tools too.
Just group users by how much they spend. Works for me every time.
I’ve actually seen the best results from a hybrid approach. We combined behavioral data with some basic predictive modeling for a dating app.
We looked at swipe patterns, chat frequency, and profile completion. Then we used that to predict likelihood to subscribe.
This let us create really targeted segments like ‘high-activity free users’ or ‘premium-curious chatters’. We could hit each group with super relevant offers and content.
Conversion rates jumped about 22% in the first month. It wasn’t that complex either - just smarter use of the data we already had.
Don’t get hung up on fancy tech. Start with the user actions that matter most for your specific app. Layer in some basic predictions if you can. Test and refine from there.