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.

A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more

R-Package for estimating CLV

Customer Base Analysis with Recurrent Neural Networks

🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)

Predicting Customer Lifetime Value

CLV prediction with BG/NBD model, xgboost, lightgbm

FLO wants to determine roadmap for sales and marketing activities. In order for the company to make a medium long -term plan, it is necessary to estimate the potential value that existing customers will provide to the company in the future.

Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.

Project for customer management in the Marketing Analytics Department of a large retail bank. The aim of this project is to know which marketing activity effectively retains customers. We have information about individual customer profitability (CLV) and a survey was conducted as well. A research model explaining/predicting individual customer p…

To identify best and valuable customers for the company, to analyse the customer needs and wants & develop marketing strategies to retain them and invest in the right customer category to increase company profits. Implement Customer LifetTime Value (CLTV) in order to distinguish customer based on their potential lifetime profits, thus invest in …

Repository contains Customer Lifetime Value Prediction for Automobile Insurance Company in USA

Data Science notebooks

Demonstration of Probabilistic BTYD models

Create an advanced data engineering pipeline that processes and analyzes sales data from an e-commerce website using Apache Airflow for workflow management and ClickHouse as the high-performance data warehouse.

Accompanying notebook for Data Konferences Feb. 2018 (Madrid)

Evaluating customer value and targeting

Sales, revenue and CLV analysis. Completed with churn prediction using naive Bayes. Considerations, notes and final insights are provided along the code

This code supports the "Why CLV should be an Organization's North Star Metric" article written in Medium.