clv
There are 35 repositories under clv topic.
pymc-labs/pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
mukulsinghal001/customer-lifetime-prediction-using-python
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.
station-10/awesome-marketing-machine-learning
A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more
bachmannpatrick/CLVTools
R-Package for estimating CLV
valendin/rfm2lstm
Customer Base Analysis with Recurrent Neural Networks
ThomasSavary08/Lyapynov
Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
akulumbeg/awesome-clv-models
🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)
k-bosko/CLV_prediction
Predicting Customer Lifetime Value
sibylhe/clv
CLV prediction with BG/NBD model, xgboost, lightgbm
mtahiraslan/flo_cltv_prediction
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.
dixitamol/banking_CLV_CRM
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 profitability is expected, along with a theoretical rational for these hypotheses and test the hypotheses. Multiple independent variables very tried to come up with some meaningful conclusions.
nanthasnk/Customer-Lifetime-Value-Prediction
Repository contains Customer Lifetime Value Prediction for Automobile Insurance Company in USA
RiadBensalem/E-commerce-Sales-Analysis-Pipeline
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.
dkekre21/customer-segmentation-and-LTV
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 long term customer relationship strategy for the customer segments.
joseramoncajide/data_konferences
Accompanying notebook for Data Konferences Feb. 2018 (Madrid)
ramachandra742/Data-Science-notebooks
Data Science notebooks
Reign2121/Customer_Value
Evaluating customer value and targeting
valendin/give-blood-till-you-die
Demonstration of Probabilistic BTYD models
anVSS1/PFA--Revealing-Insights-
This project dives deep into customer sales data to uncover valuable insights for business decision-making. It leverages machine learning and time-series forecasting to predict customer churn, forecast product demand, and segment customers based on their purchasing behavior.
basel-ay/Customer-Lifetime-Value-Prediction
Clustering and predicting customer lifetime value with machine learning and RFM analysis.
DataRaul/Customer_Churn_AB_NaiveBayes
Sales, revenue and CLV analysis. Completed with churn prediction using naive Bayes. Considerations, notes and final insights are provided along the code
tushar2704/CLV-Prediction
The primary goal of the Customer Lifetime Value Project is to develop a robust framework for predicting the potential value that a customer will generate over the course of their relationship with the business. By analyzing historical customer data and behavior, the project aims to create models that can forecast the expected revenue
1401Dev/Customer-Lifetime-Value-Prediction
A data science project leveraging Python and Scikit-Learn to build predictive models that estimate customer lifetime value (CLV). Includes data cleaning, feature engineering, and model selection to identify key drivers of CLV, supporting strategic decision-making in customer retention and marketing.
ARUNJOGLE/clvpulseplus
CLV PULSE - A DYNAMIC CUSTOMER LIFETIME VALUE PREDICTOR MODEL USING MACHINE LEARNING
chanalytics-ai/clv
This code supports the "Why CLV should be an Organization's North Star Metric" article written in Medium.
REAtes/Customer-Segmentation-and-Revenue-Prediction
This project aims to perform customer segmentation and revenue prediction for a gaming company based on customer attributes. The company wants to create persona-based customer definitions and segment customers based on these personas to estimate how much potential customers can generate in revenue.
REAtes/Customer-Segmentation-and-RFM-Analysis
This project involves performing customer segmentation and RFM (Recency, Frequency, Monetary) analysis on customer data from a retail company. The primary goal is to categorize customers into segments based on their buying behavior and identify potential target groups for marketing campaigns.
saulventura/BTYD
Measuring Customer Lifetime Value through Buy Till You Die (BTYD) model
Shaffilza/CLVLocMarketing
Location-based Marketing for High-Value Customers with Predictive CLV
YoungScienza/Bachelor_Thesis
CLV forecasting through the use of RFM variables
CarlosADuranVIllalobos/Power_BI_Dashboard
A Power BI and SQL-based dashboard offering insights into customer behavior, sales trends, and predictive models like churn and Customer Lifetime Value (CLV). This project utilizes a Kaggle dataset, Python for data preprocessing, SQL for data management, and Power BI for dynamic, interactive visualizations.
Niteshchawla/Subscription-Based-Ecommerce-Case-Study
The case study is based on how a subscription-based e-commerce business employed customer-centric strategies to reduce churn and increase customer lifetime value. How companies are Maximizing customer spending and loyalty while minimizing subscription cancellations to enhance profits and long-term business sustainability in an e-commerce model.
nitinjosephrepo/Estimating-Customer-Lifetime-Value-BG-NBD-Model
BG|NBD Model uses binomial probability to determine Customer Life Time Value and the likelihood of which customers are 'alive'
pramodkondur/Customer-Segmentation-RFM-CLV
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.
stillmatic/podcasts
podcast listener analysis