customer-retention | Topic | Ecosyste.ms: Repos

Topic: "customer-retention"

oroinc/crm-application

OroCRM - an open-source Customer Relationship Management application.

Language: PHP - Size: 14.1 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 974 - Forks: 289

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)

Language: Python - Size: 121 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 55 - Forks: 21

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.

Size: 4.43 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 5

retainful/site

Retainful Website

Language: JavaScript - Size: 107 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 14

Lab-of-Infinity/Internship

Data Science & Machine Learning Internship at Flip Robo Technologies

Language: Jupyter Notebook - Size: 78 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 5

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

Language: PHP - Size: 4.57 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 8 - Forks: 2

iamkartiknayak/loyalty-bridge

Loyalty Bridge is a web-based loyalty management system that enables businesses to track and incentivize customer loyalty.

Language: CSS - Size: 786 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 3

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.

Language: Jupyter Notebook - Size: 253 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 7

codewithsanaa/Bankchurnpredict

The Bank Churn Classification project predicts customer churn in the banking sector using machine learning algorithms and EDA. It features a user-friendly interface built with HTML and CSS, with model deployment via Flask. This helps banks identify churn patterns and implement strategies to retain customers.

Language: Jupyter Notebook - Size: 24.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

ItsTSH/Customer-Churn-Prediction

Customer Churn Prediction System using XGBoost Regressor, built on Telecom Industry dataset

Language: Jupyter Notebook - Size: 3.94 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

gattsu001/Telecom-Churn-Predictor

Predicts which telecom customers are likely to churn with 95% accuracy using engineered features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

Language: Python - Size: 191 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

R3v180/LoyalPyME

LoyalPyME: Integrated digital loyalty (LCo) and hospitality service (LC) platform for SMEs. Boost customer retention and streamline operations with points, tiers, rewards, digital menus, QR codes, and advanced customer management. (React, Node.js, PostgreSQL)

Language: TypeScript - Size: 8.45 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

ReverendBayes/Telecom-Churn-Predictor

Predicts which telecom customers are likely to churn with 95% accuracy using real-world data features from usage, billing, and support data. Implements Sturges-based binning, one-hot encoding, stratified 80/20 train-test split, and a two-level ensemble pipeline with soft voting. Achieves 94.60% accuracy, 0.8968 AUC, 0.8675 precision, 0.7423 recall.

Language: Python - Size: 242 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

felipesbonatti/case-churn

Estudo de caso sobre previsão de churn em um serviço de streaming, utilizando machine learning e análise não supervisionada para identificar padrões e reduzir a evasão de clientes.

Language: Jupyter Notebook - Size: 229 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

madhurimarawat/Customer-Churn-Prediction

Contains Multipage Streamlit applications showing all steps of machine learning pipeline with additional recommendations at the end.

Language: Jupyter Notebook - Size: 3.65 MB - Last synced at: 5 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

prashanthsword/customer_retention_dashboard

End-to-end Customer Retention Analytics Project using RFM segmentation, logistic regression, churn prediction, and Streamlit dashboard. Built for real business use cases.

Language: Python - Size: 98.6 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

Emma-Aima/Emmanuella

Marketing Strategy Website

Language: HTML - Size: 16.9 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

jbeleno/streaming-churn-prediction-model

ML model to predict streaming churn with 93.47% AUC-ROC using Random Forest, XGBoost and Logistic Regression. Complete analysis of customer retention factors.

Language: Jupyter Notebook - Size: 8.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Udurume-Righteous/Churn-Analysis-PowerBI

Interactive churn‑analysis dashboard built in Power BI, including DAX measures, model diagram, and insights.

Size: 1.48 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

niranjanbala/customer-acquisition-systems

Comprehensive customer acquisition systems covering modern lead generation, conversion optimization, and customer onboarding methodologies. Build sustainable customer acquisition processes.

Size: 7.81 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

datafox8-ai/Bank-churn-analysis

Predicting Customer Churn: Data Insights for the Banking Sector

Language: Python - Size: 1.79 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

omarnasr98/LoyalPyME

Open Source digital loyalty program and lightweight CRM platform for PyMEs/SMEs. Features points, tiers, rewards, QR validation, and customer management. Built with React, Node.js, PostgreSQL.

Language: TypeScript - Size: 6.16 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MH-Insights/ecom-churn-unlocked

Behavioral segmentation and churn analysis (POV: Product Analytics Lead)

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

cemdurakk/telco-customer-churn-prediction

An end-to-end machine learning project to predict customer churn in the telecom industry using XGBoost and SHAP explainability.

Language: Jupyter Notebook - Size: 484 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

MasterMindRomii/Customer-Churn-Prediction-Final-Year-Project

Built an ML model to predict customer churn, enhancing retention strategies.

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PhanChenh/PwC_PowerBI_Job_Simulation

PwC Power BI Job Simulation

Size: 2.57 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Tolumie/RFM-Marketing-Analysis

This project focuses on RFM (Recency, Frequency, and Monetary) Analysis, a powerful customer segmentation technique used in marketing and business analytics. The analysis helps businesses identify their most valuable customers, potential loyalists, at-risk customers, and churned users.

Language: Jupyter Notebook - Size: 78.1 KB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Chandan-Kondapuram/Rfm-Analysis-and-Customer-Segementation

Customer segmentation using RFM (Recency, Frequency, Monetary) Analysis to identify and categorize customers based on their purchase behavior.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

adithi741/bank-customer-churn-prediction_using_XGBoost_alg

"A machine learning project to predict bank customer churn using the XGBoost algorithm. Includes feature engineering, model training, and results visualization."

Language: Jupyter Notebook - Size: 144 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 173 KB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0