Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
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Updated
May 24, 2024 - Python
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
This repo hosts the course content of Customer Analytics, taught at Tilburg University by George Knox last taught Fall 2022.
R-Package for estimating CLV
Buy Till You Die and Customer Lifetime Value statistical models in Python.
A major non-life insurance company wants to evaluate customer lifetime value based on each customer’s demographics and policy information including claim details. The CLV is a profitability metric in terms of a value placed by the company on each customer and can be conceived in two dimensions: the customer`s present Value and potential future V…
The python version of the lab exercises from the coursera class Foundation of marketing analytics.
This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)
CLV prediction with BG/NBD model, xgboost, lightgbm
Customer Lifetime Value, Returns Predictions, Recommender system and sales analysis on UC Irvine online sales dataset.
Syracuse University, Masters of Applied Data Science - MAR 653 Marketing Analytics
Analysis and Prediction of Customer Lifetime Value using R.The insights were then compiled into a report using R markdown.
Measuring Customer Lifetime Value through Buy Till You Die (BTYD) model
data visualization, customer segmentation, CLV and next purchase prediction
Predicted clv making it easier for the auto-insurance companies to decide on the premiums of their incoming clients and thus balance the total risk in the market
A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
Understanding the customer life cycle Acquiring customer data Applying big data concepts to your customer relationships Finding high propensity prospects Upselling by identifying related products and interests Generating customer loyalty by discovering response patterns Predicting customer lifetime value (CLV) Identifying dissatisfied customers …
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