customer-segmentation
There are 610 repositories under customer-segmentation topic.
dittofeed/dittofeed
Open-source customer engagement. Automate transactional and marketing messages across email, SMS, mobile push, WhatsApp, Slack, and more 📨
retentioneering/retentioneering-tools
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
joaolcorreia/RFM-analysis
Python script (and IPython notebook) to perform RFM analysis from customer purchase history data
mukulsinghal001/customer-lifetime-prediction-using-python
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 sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
jalajthanaki/Customer_segmentation
Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to anticipate the purchases that will be made by a new customer, during the following year from its first purchase.
DjangoCRM/django-crm
Analytical CRM with Tasks management, Email marketing and many more. 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. ✨
archd3sai/Instacart-Market-Basket-Analysis
The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.
rsquaredacademy/rfm
Tools for Customer Segmentation using RFM Analysis
ugis22/clustering_analysis
Performs an exploratory analysis on a dataset containing information about shop customers. Check that the assumptions K-means makes are fulfilled. Apply K-means clustering algorithm in order to segment customers.
WLOGSolutions/retail-segmentation-based-marketing-campaing-in-r-and-h2o
Showcase for using H2O and R for scoring for marketing campaign in retail
eaglewarrior/Machine-learning
This repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
DataVisualizationExpert/Customer-Churn-Analysis-using-Power-BI
Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️
Nikhilkohli1/Olist-Marketing-Analytics
Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
Sarah-2510/KPMG-Virtual-Internship
This repository contains solutions to the 3 different tasks that must be performed during the data analytics virtual internship provided by KPMG via Forage.
klaudia-nazarko/rfm-analysis-python
This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups differ from each other.
gitakartika/customer-segmentation-analysis-product-recommender-system
Analyse customer segmentation, sentiment on product review, and built a product recommender system
cereniyim/Customer-Segmentation-Unsupervised-ML-Model
Customer-base segmentation over e-commerce sales data
daniel-isidro/customer_segmentation
Customer Segmentation Analysis with RFM, using Python and Power BI.
Pegah-Ardehkhani/Customer-Segmentation
Customer Personality Analysis Using Clustering
pouyaardehkhani/FinancialAnalysis
This notebook provides some skills to perform financial analysis on economical data.
erenonal/K-means_customer_segmentation
Using K-Means algorithm for customer segmentation due to credit card behavior
aryashah2k/Datalogy-Customer-Segmentation-Data-Science-Internship
A Repository Maintaining My Summer Internship Work At Datalogy As A Data Science Intern Working On Customer Segmentation Models Using Heirarchical Clustering, K-Means Clustering And Identifying Loyal Customers Based On Creation Of Recency, Frequence, Monetary (RFM) Matrix.
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
mkucz95/customer_segmentation
Unsupervised ML: Finding Customer Segments in General Population
imsanjoykb/Sales-and-Marketing-Analytics
This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behaviour.
alifrmf/Customer-Segmentation-Using-Clustering-Algorithms
Customer Segmentation Using Unsupervised Machine Learning Algorithms
mayursrt/customer-segmentation-using-k-means
This is a demonstration of k-means algorithm on customer data of a mall (also known as customer segmentation).
mickaelandrieu/php_customers_segmentation
Can we do Customers Segmentation using PHP and Unsupervized Machine Learning ? Yes we can ! 🤡
dittofeed/clickhouse-segments-tutorial
Repository demonstrating how to calculate user segments in Clickhouse.
ibrahim-ogunbiyi/Customer-Segmentation
An approach to Customer Segmentation Using ML
maj34/2022-BigContest
[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델
skacem/Marketing-Analytics-Foundations
The python version of the lab exercises from the coursera class Foundation of marketing analytics.
AilingLiu/Machine-Learning-Engineer-Nanodegree-Program-Udacity
Machine Learning Engineer Nanodegree Program On Udacity
mesudepolat/RFM_ANALYSIS
customer segmentation with rfm
rkshiyaniya/Data-Science-Machine-Learning-Projects
This Repository Contains different Machine Learning Projects on various dataset. From Exploratory Data Analysis - Visualization to Prediction and Classification..
sonwanesuresh95/rfm
Python Package for RFM Analysis and Customer Segmentation