customer-retention
There are 29 repositories under customer-retention topic.
oroinc/crm-application
OroCRM - an open-source Customer Relationship Management application.
DjangoCRM/django-crm
CRM with Tasks management, Email marketing and many more. This Django CRM software app is built for individual use by businesses of any size or freelancers and is designed to provide easy customization and quick development. ⭐️
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
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.
iamkartiknayak/Loyalty_Bridge
Loyalty Bridge is a web-based loyalty management system that enables businesses to track and incentivize customer loyalty. With Loyalty Bridge, customers earn loyalty coins for each purchase, which can then be redeemed for discounts on future purchases.
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.
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.
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.
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.
SadeTosin/Connecttel-Customer-Churn-Prediction
This project promises to predict and prevent customer attrition, ensuring long-term loyalty and competitiveness, by leveraging supervised machine learning algorithms.
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
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.