customer-retention
There are 31 repositories under customer-retention topic.
oroinc/crm-application
OroCRM - an open-source Customer Relationship Management application.
jdmaturen/shifted_beta_geometric_py
An implementation of the shifted-beta-geometric (sBG) model from Fader and Hardie's "How to Project Customer Retention" (2006)
Lab-of-Infinity/Internship
Data Science & Machine Learning Internship at Flip Robo Technologies
retainful/site
Retainful Website
TimKong21/PwC-Switzerland-Power-BI-in-Data-Analytics-Virtual-Case-Experience
Comprehensive Power BI dashboards showcasing insights on Call Centre Trends, Customer Retention, and Diversity & Inclusion to drive business impact.
retainful/woocommerce
Abandoned Cart Recovery Email and Next Order Coupon Plugin for WooCommerce. Easily recover abandoned carts with a single click and drive repeat purchases with Retainful
CodingHashira/loyalty-bridge
Loyalty Bridge is a web-based loyalty management system that enables businesses to track and incentivize customer loyalty.
easonlai/analyze_customer_reviews_with_aoai
This demo repository demonstrates how to analyze customer reviews with Azure OpenAI Service (AOAI). I leveraged "ASOS Customer Review" from Kaggle to obtain valuable insight from the customer review content.
hemantdpatil/Predictive-Marketing-Analytics
Assessed brand loyalty patterns and price elasticity metrics to provide insights for brand’s market growth. Recommended strategies for the top 3 brands based on competitor analysis, customer profiling and customer retention through RFM analysis and multinomial logit.
ronak-07/Customer-Retention-Using-Neural-Network
Creation of a MultiLayer Perceptron using Back Propagation Algorithm. It was trained to efficiently classify the data into two sets:exit and stay. This was able to predict whether a customer might stay with the bank or leave it in future.
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.
JKReyner/interconnect
A machine learning model to forecast customer retention, as well as performing exploratory data analysis to examine which metrics may be most relevant to increase retention.
KelvinLam05/cohort_analysis
Using cohort analysis to measure customer retention.
madhurimarawat/Customer-Churn-Prediction
Contains Multipage Streamlit applications showing all steps of machine learning pipeline with additional recommendations at the end.
mounikapalli/Hotel-Domain-Analysis
This project showcases the application of data analysis techniques to solve real-world business problems in the hotel industry. By mastering essential Python libraries and methodologies, valuable insights have been derived to support Atliq Grands in enhancing customer retention and boosting 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.
aichner/KISy-Webapp-Prototype
🎨 Prototype for the easy-to-use web applications to build up customer retention.
AlaaNabil98/CodeClause_Customer_Churn_Rate_Analysis
This is A Telco Customer Churn Rate Dashboard project that provides insights into customer behavior and churn rates. The dashboard was built using Microsoft Power BI.
eiliaJafari/Comprehensive-market-data-analysis
An comprehensive data analysis of a particular market and its customers.
exelero565/Project_4_ML
Классификация клиентов банка для прогнозирования вероятности открытия депозита.
Loveleen-DS/Lifetimes-package-for-CLV
Demonstrates how Python's lifetimes package can identify high-value customers and predict their future purchasing behavior. Utilizing the BG/NBD model to forecast purchase frequency and the Gamma-Gamma model to estimate transaction value, this repository aids in crafting targeted marketing strategies.
MohammadShabazuddin/Advanced-Customer-Retention-Strategies-in-Telecom-Attrition-Prediction-and-Analysis
This project develops a predictive model for customer attrition in the telecom industry using advanced machine learning techniques to identify high-risk customers and enable proactive retention strategies.
mohitsac/PwC-Switzerland-Power-BI-Virtual-Experience
Comprehensive Power BI dashboards showcasing insights on Call Centre Trends, Customer Retention, and Diversity & Inclusion to drive business impact.
NidhiMeher/Churn-Analysis
Customer churn demographics and insights.
QuantaScriptor/AI-Enhanced-Customer-Retention-System-AIECRS
AI-Enhanced Customer Retention System (AIECRS) is an AI-based system designed to predict customer churn and suggest retention strategies.
Sambhaji-Dhage/PwC-Switzerland-Power-BI-Virtual-Internship
PwC Switzerland Power BI in Data Analytics Virtual Case Experience helps build foundation in data analysis and visualization with Power Bi
VishnuTejaDumpala/Hotel-Domain-Analysis
This project showcases the application of data analysis techniques to solve real-world business problems in the hotel industry. By mastering essential Python libraries and methodologies, valuable insights have been derived to support Atliq Grands in enhancing customer retention and boosting revenue.
BigWheel92/customer-retention-prediction
an implementation of ann-based model to predict customer retention
nhoiyee/PwC-Switzerland-Power-BI-in-Data-Analytics-Virtual-Internship
PwC Switzerland Power BI in Data Analytics Virtual Case Experience helps build foundation in data analysis and visualization with Power BI. Power BI dashboards showcases insights on Call Centre Trends, Customer Retention, and Diversity & Inclusion to drive business impact.