Been diving into customer segmentation lately. It’s wild how much it can impact analytics.
Anyone have specific examples of segmentation methods that really moved the needle for them? Curious about both the approach and the results.
Always looking to refine our targeting and boost those metrics.
Segmenting by acquisition source was a game-changer for us. We grouped users based on where they came from - organic, paid social, App Store search, etc.
Revealed huge differences in retention and LTV. Our Facebook users converted well but churned fast. Organic had slower growth but stuck around longer.
Let us adjust spend and tailor onboarding flows. Boosted 3-month retention by about 20% overall.
Also helped kill some ad channels that looked good on the surface but weren’t delivering quality users long-term. Saved a ton on wasted ad spend.
Segmented by feature use. Showed what people really cared about. Helped us focus development efforts.
We split users by app usage frequency. Helped us figure out who to target with re-engagement campaigns. Got more active users that way.
Segmenting by user goals works well for me. I group people based on what they want to achieve with the app.
This helps tailor features and messaging. It’s improved retention and conversion rates noticeably.
You get insights into what different user types need, so you can serve them better.
Segmenting by user behavior patterns is powerful. I’ve seen it uncover hidden user types that traditional demographics miss. Look at things like time of day they use the app, session length, and feature interactions. You might find night owls who binge on content or quick-hit users who just check one thing. This reveals how different groups actually use your product. You can then optimize the experience for each behavior type. It’s led to major improvements in engagement and retention for several clients. One saw a 35% bump in daily active users after tailoring the UI to their main behavior segments.