customer-lifetime-value
There are 46 repositories under customer-lifetime-value 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.
ColtAllen/btyd
Buy Till You Die and Customer Lifetime Value statistical models in Python.
bachmannpatrick/CLVTools
R-Package for estimating CLV
jalajthanaki/Customer_lifetime_value_analysis
Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
Willofd101/ziln_cltv
A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
akulumbeg/awesome-clv-models
🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)
imsanjoykb/Sales-and-Marketing-Analytics
This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
skacem/Marketing-Analytics-Foundations
The python version of the lab exercises from the coursera class Foundation of marketing analytics.
gknox79/customer-analytics
This repo hosts the course content of Customer Analytics, taught at Tilburg University by George Knox last taught Fall 2022.
sibylhe/clv
CLV prediction with BG/NBD model, xgboost, lightgbm
matheastevens/Ecommerce-Sales-Analysis
Customer Lifetime Value, Returns Predictions, Recommender system and sales analysis on UC Irvine online sales dataset.
mursideyarkin/personalized_product_recommendation_with_ARL
The purpose of this project is to recommend personalized products for segments by finding product associations.
rtimbro185/syr_mads_mar653_marketing_analytics
Syracuse University, Masters of Applied Data Science - MAR 653 Marketing Analytics
abhijitpai000/customer_lifetime_value
Trained a Probabilistic Model to forecast the frequency of purchases and how likely a customer is to churn in a given time period using their historical transaction data.
99sbr/Predictive-Customer-Analytics
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 Uncovering attrition patterns Applying predictive analytics in multiple use cases Designing data processing pipelines Implementing continuous improvement
a-memme/Customer_Churn_and_CLTV
BG/NBD and Gamma Gamma probabilistic models to evaluate and predict customer churn, retention, and lifetime value of an e-commerce business
Sarah-2510/Customer-Lifetime-Value-Prediction
Analysis and Prediction of Customer Lifetime Value using R.The insights were then compiled into a report using R markdown.
dailyLi/olist_digital_marketing
data visualization, customer segmentation, CLV and next purchase prediction
kk289/Predicting-Customer-Lifetime-Value_CLV
Predicting Customer Lifetime Value
Rindhujatreesa/customer-lifetime-value-prediction-for-auto-insurance-companies
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
abhiyerasi/CLV-Auto-Insurance
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 Value.
M0hamedIbrahim1/Customer-Lifetime-Value-Analysis
Explore the world of data-driven customer analysis and lifetime value estimation. This project dives into customer segmentation, geographic analysis, time series insights, stock trends, and product descriptions. Join us on our journey of data exploration and optimization.
Yonas650/ML-Driven-CLV-Prediction
This project predicts Customer Lifetime Value (CLV) for e-commerce. It aims at forecasting the revenue a business can expect from a customer over time. I did an explatory analysis. From Linear Regression to Neural Networks, explore how different models perform in predicting CLV.
AmirMotefaker/Customer-Lifetime-Value-Analysis
Customer lifetime value analysis is used to estimate the total value of customers to the business over the lifetime of their relationship. It helps businesses make data-driven decisions on how to allocate their resources and improve their customer relationships.
arnavv-agarwal/Customer-Lifetime-Value-Analysis-Door-Bell
A Python project examining customer lifetime value (CLV) for Door Bell, Inc. This analysis investigates the influence of autopay on customer retention, providing valuable insights for strategic marketing decisions.
dinachoir/CRM-Strategy-Development
Propose CRM strategies by segmenting customers into clusters and identifying purchase patterns and give recommendations separately for each group.
marmiskarian/Survival-Analysis
Built a customer lifetime value (CLV) model using parametric models.
michstg/CustomerLifeTimeValue-IBM-Data
TimeSeriesAnalysis-AR-MA-ARMA IBM Dataset
zander1268/custorama
This project creates a user-friendly customer lifetime value (CLV) prediction engine able to take in transaction data and return important CLV predictions with a high degree of accuracy for a merchant's entire customer base and individual customers over a selected period of time in the future.
PEDROPERDO/Oat
Oat : Hi !