PhanChenh/CohortAnalysis_Adventurework_SQLProject

Customer Retention and Lifetime Value Analysis Using Cohort Analysis on AdventureWorks Dataset (2011-2014)

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tubakrc/Power_BI_Projects_2

This repository was created for my Power BI Project (Olist E-commerce Dashboard).

Language: TSQL - Size: 2.07 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

AnshRockstar/MBA_SEM3_project-SSODL

THE INFLUENCE OF LOYALTY PROGRAMS BACKED BY CRM ANALYTICS ON CLIENT RETENTION

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sampath-kothapalli/crm-analysis

This project explores customer behavior in a large e-commerce dataset, uncovering comprehensive CRM data analysis, data preprocessing and EDA techniques to refine customer interaction, and implemented RFM scoring for dynamic customer segmentation, revealing actionable insights on purchasing patterns.

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ngangawairimu/Customer-Lifetime-Value-CLV-and-Customer-Segmentation-RFM-Project

This project performs cohort analysis to estimate Customer Lifetime Value (CLV) by analyzing weekly revenue and user registrations over 12 weeks, forecasting future revenue, and providing actionable insights for marketing and business strategy.

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Ismat-Samadov/clv_model

customer lifetime value

Language: Python - Size: 18.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

tashi-2004/Global-Ecommerce-Retail-Trends-Analysis

The Global E-commerce & Retail Analysis project involves data preprocessing, dimensionality reduction with PCA, CLV calculation and What-If analysis . Key insights include effective PCA for data reduction, detailed CLV analysis across segments , and the impact of pricing strategies on sales.

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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: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

laiba-mazhar/E-commerce-Retail-Trends-Impact-Analysis

This repository analyzes global e-commerce trends and their effects on traditional retail. It includes data preprocessing, Customer Lifetime Value (CLV) calculations, and What-if analyses to explore pricing strategies, providing insights into the evolving retail landscape.

Language: Jupyter Notebook - Size: 495 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Saeedanbarimoghadam/Customer-Segmentation-and-Behavior-Analysis

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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.

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alaeddinee21/RFM-CLV-customer_segmentation

"Analyze customer behavior using RFM and CLV models for effective profiling. This project integrates RFM segmentation with Customer Lifetime Value (CLV) analysis to create detailed customer profiles, visualize insights, and develop targeted marketing strategies. Includes data, code, and visualizations

Language: Jupyter Notebook - Size: 2.09 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

anVSS1/PFE

This project dives deep into customer sales data to uncover valuable insights for business decision-making. It leverages machine learning and time-series forecasting to predict customer churn, forecast product demand, and segment customers based on their purchasing behavior.

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ThecoderPinar/Customer-Segmentation-CLV-Analysis

Optimize marketing strategies and enhance decision-making. Explore customer data, segment behavior, calculate CLV, analyze demographics, and visualize insights. 🚀

Language: Jupyter Notebook - Size: 682 KB - Last synced at: 21 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Swastik2442/RFM_OnlineRetail

RFM model-based Customer Segmentation using Clustering, Classification and BTYD Models

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Intellegamus/SQL-CLV-Showacse

This is an example of Customer Lifetime Value calculation using SQL and visualization using Spreadsheets.

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