jassim,J299,github

awesome-clv-models

🎓📚📈 Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)

binlist-data

An open-source list of bank BIN/IIN numbers

bookdown

Authoring Books and Technical Documents with R Markdown

chrun-prediction-docker-deployment

Churn prediction logistic regression model deployment using docker and aws elastic beanstalk

churn_analysis

Analysis of the Telco customer churn data to analyze why Telco customers are leaving the company

This project demonstrates churn analysis for telecom industries. Mobile carriers are first priority to monetize rich supplies of customer information—while being mindful of legal and privacy issues. When data assets are transformed into new revenue streams, next-generation analytics will become integral to high performance. The aim of churn analysis is to identify customers who are about to transfer their business to a competitor.

clv

customer lifetime value BG/NBD model

clv_prediction_with_cohort_analysis

cohort-analysis

Cohort analysis is a study that focuses on the activities of a particular cohort. A cohort is a group of people who share a common characteristic over a certain period of time.

cohort-analysis-1

cohorts

cohorts.py makes generating cohort analysis from raw data a magical experience

cohorts-1

An R package for easy cohort analysis with event data

cohorts-2

Cohort visualizer – A handy tool for browsing cohort datasets

coral

A web-based visual analysis tool for creating and characterizing cohorts.

cost-revenue-churn

Code for a Shiny app calculatiing cost/revenue for churn prevention

crm-workshop

To describe the topic that relates to 'customer relationship management (CRM)' such as customer segmentation, product recommendation, campaign response rate using SQL, python, and Power BI.

customer-analysis-online-retails

This project focus on customer analysis and segmentation. Which help to generate specific marketing strategies targeting different groups. RFM Analysis, Cohort Analysis, and K-means Clusters were conducted on a UK-based online retail transaction dataset with 1,067,371 rows of records hosted on the UCI Machine Learning Repository.

customer-churn

customer-churn-analysis

Telecom customer churn analysis

customer-segmentation-analysis

Measures and segment customers transaction performance into different categories based on their similarities using business metrics (RFM & cohort analysis) and KMeans model to improve customer retention and experience..