Been digging into user behavior patterns lately and found some unexpected segments that completely changed how we target.
Users who abandon cart but return within 3 days convert 40% higher than immediate purchasers when offered different messaging.
What behavioral patterns have you discovered that seemed counterintuitive at first?
Found something similar with push notification opt-ins. Users who delay enabling notifications for 7+ days after install actually have 30% better retention rates than people who say yes immediately.
Turns out the delayed group uses the app more organically first. They’re not just reacting to prompts - they actually want the notifications when they finally opt in.
This completely flipped our onboarding flow. Now we wait until day 8 to ask again instead of being pushy on day 2.
The psychology behind these delayed behaviors is wild. Sometimes resistance means they’re actually thinking it through instead of just clicking randomly.
People who ignore my first three retargeting ads but finally click on the fourth one tend to stick around much longer.
Turns out the ones who need more convincing actually become the most engaged users once they convert. Really changed how I think about ad frequency caps.
Users who click ads late at night usually have better lifetime value than daytime clickers.
Users who skip the tutorial completely outperform those who complete it by 25% in month two retention. Tutorial skippers explore the app naturally and build their own usage patterns. Those who follow tutorials tend to stick to that initial flow and never really dig deeper into features. Now we make tutorials optional and focus onboarding on core value instead of feature walkthroughs.
Trial users who downgrade to free plans buy premium later more often.