TrapPool - Catch Customers Before They Escape

🎯 Interactive Demo

Simulate a frustrated customer rage-clicking on a broken element. Click rapidly to trigger the rescue offer!

🖱️

Click rapidly to simulate customer frustration

Clicks: 0

Customer is calm...

Total Clicks

Offers Triggered

Revenue Saved

1. Monitor: Our code tracks rage-clicks, cart abandonment heat, and support ticket sentiment
2. Detect: Machine learning identifies the moment of maximum frustration
3. Trap: Perfectly-timed intervention offer slides in
4. Save: Customer converts, you recover revenue that would've been lost