Bayesian marketing attribution

Credible intervals and Bayesian regression for deciding which marketing channels are signal versus noise.

Status: archived · GitHub


What it is

An uncertainty-aware marketing attribution project built from anonymized lead and win data. The practical question is whether a channel’s observed conversion rate is stable enough to influence spend, or whether it is just a small-sample artifact.

GitHub