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

Build a future-ready business intelligence engine.