Index

Pages:

Models

Acquisition Models:

• Depth-of-Repeat Model - Forecasting Aggregate Repeat-Buying
• Sales Forecast: Predicting Unit Sales Using Finite Mixture Model with Beta-Geometric Distribution

Retention Models:

• Beta-Geometric (BG) Model
• Beta-discrete-Weibull (BdW) Model
• Discrete-Time, Contractual Setting Retention Model

Purchasing Models:

• NBD Model Variants - Overview
• BG/NBD Model
• BG/NBD Model - Stan Implementation
• NBD/OTB Model - NBD with One-Time Buyers
• BG/BB Model - Discrete-Time, Noncontractual Setting

Spend Models:

• Gamma-Gamma Model of Monetary Value

Combined CLV Models:

• RFM and CLV: Using Iso-Value Curves for Customer Base Analysis

Analaysis & Summaries

• Analysing Buyer Behaviour Using Consumer Panel Data
• Analysing Buyer Behaviour Using Transaction Logs
• Calculating Customer Acquisition Cost
• RFM: Recency, Frequency, Monetary value Summary

Data Preparation

• CDNOW Data Set & Summaries

Source Files

Github Page: https://github.com/abdullahau/customer-analytics

Build from Source

Required Packages:

quarto
stan
bridgestan
xarray
arviz
altair
great-tables
ipykernel
ipython
ipywidgets
jupyterlab
Lifetimes
quarto
marimo
matplotlib
narwhals
numpy
pandas
plotly
polars
scikit-learn
scikit-optimize
scipy
statsmodels
vegafusion
jinja2