Model marketing returns and future customer value.
Guides implementation of Bayesian models that estimate marketing channel impact, optimize budgets, and predict customer lifetime value.
When to use it
Use when building media mix or customer lifetime value models, analyzing campaign effectiveness, or optimizing marketing budgets.
Give it marketing or customer transaction data; it implements model-fitting, prediction, and analysis code.
What you provide
The modeling examples use pymc-marketing; installation instructions provide conda and pip routes.
The basic modeling example imports pandas to load and prepare marketing data.
Names the access key ID for optional S3 model storage, paired with AWS_SECRET_ACCESS_KEY. Shows assigning it to os.environ but does not show how storage code retrieves it.
Names the secret access key for optional S3 model storage, paired with AWS_ACCESS_KEY_ID. Shows assigning it to os.environ but does not show how storage code retrieves it.
No additional actions listed.