Loveleen-DS/Lifetimes-package-for-CLV

Demonstrates how Python's lifetimes package can identify high-value customers and predict their future purchasing behavior. Utilizing the BG/NBD model to forecast purchase frequency and the Gamma-Gamma model to estimate transaction value, this repository aids in crafting targeted marketing strategies.

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0