3 resources from Factors.ai we point people to, and the questions each answers.
Why we picked it Written by an Indian B2B attribution company, this walks through single touch versus multi touch models and, more usefully, when each one is honest. Good grounding before you pick a model your teams will argue about.
From Factors.ai by Vrushti Oza 16 min read
Open factors.ai →Why we picked it Deliberately picks nine metrics instead of forty and argues for a focused set, which is the right instinct for a small team. Written by an Indian B2B analytics company for Indian sized funnels.
From Factors.ai by Ranga Kaliyur 10 min read
Open factors.ai →Why we picked it Good specifically on data silos and on the difference between marketing analytics, product analytics and attribution, which is the confusion that keeps five tools disagreeing with each other.
From Factors.ai by Ninad Pathak 18 min read
Open factors.ai →
