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
Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)
Customer Base Analysis with Recurrent Neural Networks
Marketing Science in Python — a practical guide to marketing analytics, causal inference, marketing mix modeling, pricing, forecasting, and customer analytics.
Predicting Customer Lifetime Value
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.
CLV prediction with BG/NBD model, xgboost, lightgbm
Repository contains Customer Lifetime Value Prediction for Automobile Insurance Company in USA
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.
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…
Clustering and predicting customer lifetime value with machine learning and RFM analysis.
This project analyzes online retail transaction data to identify distinct customer segments using RFM (Recency, Frequency, Monetary) analysis and calculates Customer Lifetime Value (CLV) using Predictive CLV models.
Sports betting platform with ML predictions, Kelly sizing, live odds, steam/line-move desk lens, and daily AI picks. NBA, NFL, MLB.
CLV PULSE - A DYNAMIC CUSTOMER LIFETIME VALUE PREDICTOR MODEL USING MACHINE LEARNING
OpenClaw/ClawHub agent skills — sports-odds, kelly-criterion, clv-journal, portfolio-rebalancer, judge-audit, and more (17 skills).
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 …
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