Growth Hacking Analytics
Using behavioral data from your category, we will identify insights and design Hacks to experiment with different hypotheses, depending on how the people we serve reacts to these. We will suggest a course of action to implement.
Our model is based on 4 pillars


AI unsupervised discovery
Portfolio and white spaces models
Dynamic consumer models
Buyer/Cons Funnelsn
Loyalty/switching
Profiling & dual consumptio

Full launch, in market
O2O feedback
AI automation

Product Launch & sampling
Volume growth
White spaces hacks
Brand hacks
Pre launch innovation

Controlled market test of successful hacks
Quick feedback & corrections