clv
There are 2 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.
Language:Python 537mukulsinghal001 / 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.
Language:Jupyter Notebook 123station-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
Language:R 53- Language:Jupyter Notebook 19
akulumbeg / awesome-clv-models
🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)
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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.
Language:Python 7ThomasSavary08 / Lyapynov
Python package to compute Lyapunov exponents, covariant Lyapunov vectors (CLV) and adjoints of a dynamical systems.
Language:Jupyter Notebook 7dixitamol / 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.
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.
nanthasnk / Customer-Lifetime-Value-Prediction
Repository contains Customer Lifetime Value Prediction for Automobile Insurance Company in USA
Language:Jupyter Notebook 3joseramoncajide / data_konferences
Accompanying notebook for Data Konferences Feb. 2018 (Madrid)
Language:Jupyter Notebook 2ramachandra742 / Data-Science-notebooks
Data Science notebooks
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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.
Language:Jupyter Notebook 2- Language:R 2
basel-ay / Customer-Lifetime-Value-Prediction
Clustering and predicting customer lifetime value with machine learning and RFM analysis.
Language:Jupyter Notebook 1DataRaul / 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
Language:Jupyter Notebook 1chanalytics-ai / clv
This code supports the "Why CLV should be an Organization's North Star Metric" article written in Medium.
Language:Jupyter Notebook 0REAtes / 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.
Language:Python 0This 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.
Language:Python 0saulventura / BTYD
Measuring Customer Lifetime Value through Buy Till You Die (BTYD) model
Language:R 0Shaffilza / CLVLocMarketing
Location-based Marketing for High-Value Customers with Predictive CLV
Language:Jupyter Notebook 0nitinjosephrepo / 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'
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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
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