AI-driven user journey analysis

Done for: Poppins
Goal: Increase revenue
Area: Marketing, Management and executives
Result: 1,560

/* The problem */

Many users showed interest in the app and never rented anything. The question was where they dropped off, and why.

/* How we fixed it */

We followed 1,560 borrowers step by step, from opening the app to leaving a review. Then we compared them with users who showed intent but never rented.

/* What it changed */

1,560borrowers followed step by step

Finishing the onboarding missions separates the two groups most. The biggest drop is between chatting and sending a booking request.

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A chatbot that finds leads

The five steps of a chat that sells, three ways a chat ends, and what to settle before you build.

All cases Want this in your team? WhatsApp Jotte or mail jotte@male-b.com