Been testing a few AI funnel platforms lately but they all seem focused on getting new users in the door.
Looking for something that can actually optimize retention flows for people already using the app. Most tools I’ve tried just rehash the same acquisition playbook.
We track when users don’t open the app for 3 days, then send them a simple push notification.
Built my own simple retention triggers. Works better than AI.
Most AI funnel tools focus on top-of-funnel stuff because the data’s cleaner there. Retention’s a mess - user behavior changes constantly.
I’ve had way better results with basic tools like Braze or Iterable, then adding predictive scoring myself. Watch for churning users by tracking when session frequency drops and engagement falls off.
Last month I ran a campaign with different flows based on where users were in their lifecycle - crushed every AI tool I’d tested. The trick was segmenting by actual usage data instead of demographics.
This covers retention from a product perspective, but it works for marketing flows too. Sometimes the basic approach beats all the AI hype.
AI tools tend to emphasize user acquisition because that’s their revenue source.
In reality, simple email sequences and push notifications often work better for retention. AI can complicate things without delivering significant benefits. Retention focuses on timing and relevance.
Skip the AI hunt. Most retention wins come from tracking simple metrics - feature usage drops or gaps between sessions. I run weekly cohort analysis and flag users showing decline patterns. Then I trigger basic email or push flows based on their last meaningful action. The money’s in timing your outreach right when engagement dips, not complex AI predictions that take months to train.
Same problem. I ditched waiting for AI and just built retention funnels straight in Web2Wave. Set up different flows for users who are churning vs staying engaged, then test different timing right away. Way faster than waiting for AI to learn your patterns. When you’re bleeding users every day, speed wins over fancy tech.
Dealt with this issue in my apps too. AI tools struggle with messy retention data since user behavior changes all the time.
I set up basic trigger flows to react when users drop usage. If someone goes from daily to weekly visits, send them a tailored re-engagement sequence.
Forget the AI and focus on clear signals: session drops, unused features, or subscription downgrades. It’s manual, but it delivers real results.