deepansh27 / CustomerSegmentation
By means of this project I am trying to create a value-based customer segmentation model using RFM(Recency, Frequency, Monetary) analysis in python using pandas, numpy and matplotlib
☆16Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for CustomerSegmentation
- Customer analysis and Data driven ideas☆16Updated 6 years ago
- RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers bas…☆24Updated 7 years ago
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆206Updated 4 years ago
- Segmenting consumer based buying behavior and applying 80/20 rule to identify top customers/products/geographic locations driving 80% of …☆10Updated 5 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆130Updated 6 years ago
- Customer Segmentation Analysis with RFM, using Python and Power BI.☆24Updated 3 years ago
- Unsupervised Clustering on Online Retail Dataset☆31Updated 5 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆134Updated last year
- Python script (and IPython notebook) to perform RFM analysis from customer purchase history data☆265Updated 5 years ago
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆71Updated 2 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆67Updated 4 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆37Updated 3 months ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆274Updated 2 weeks ago
- Customer Segmentation, RFM analysis and price elasticity☆17Updated 4 years ago
- This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups …☆27Updated 4 years ago
- An example of clustering applied to finding customer segments.☆19Updated 7 years ago
- Hands-On Data Science for Marketing, published by Packt☆235Updated last year
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 years ago
- Achieve your marketing goals with the data analytics power of Python☆210Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆55Updated 6 years ago
- Simple Customer Segmentation Using Recency/Monetary Matrix (RFM) in Python☆9Updated 4 years ago
- Udacity Data Science Nanodegree Capstone☆34Updated 4 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆181Updated 2 years ago
- Complete machine learning analysis to solve marketing problems.☆18Updated 6 years ago
- Customer-base segmentation over e-commerce sales data☆24Updated 4 years ago
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆51Updated 6 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆72Updated last month
- Predicting Customer Lifetime Value☆12Updated 4 years ago