Tools for Customer Segmentation using RFM Analysis
-
Updated
Jul 31, 2024 - R
#
customer-segmentation
Here are 23 public repositories matching this topic...
Showcase for using H2O and R for scoring for marketing campaign in retail
machine-learning r h2o showcase rstats auc segmentation h2oai rsuite marketing-campaigns customer-segmentation
-
Updated
Aug 26, 2018 - R
The aim of this project is to analyze the spending behavior of customer groups using various techniques.
-
Updated
Jun 17, 2023 - R
Customer segmentation is the process of dividing customers into groups based on common characteristics so companies can market to each group effectively and appropriately. This Project uses R language and Kmeans clustering algorithm to segment customers into clusters.
machine-learning r rstudio kmeans-clustering unsupervised-machine-learning business-analytics customer-segmentation
-
Updated
Jun 7, 2022 - R
Materi praktikum Talent Scouting Academy (TSA) Kominfo 2023-Customer Segmentation
-
Updated
Sep 16, 2023 - R
Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.
customer-segmentation retail-data market-analysis customer-profile r-scripts seasonality-analysis retail-technology
-
Updated
Dec 13, 2023 - R
K-means as an unsupervised machine learning technique. Customer Segmentation Case.
segmentation kmeans silhouette k-means rfm elbow-method customer-segmentation rfm-analysis gap-statistic
-
Updated
Jan 6, 2020 - R
Customer clustering with k-means and DBSCAN
-
Updated
Jan 4, 2022 - R
This exploratory data analysis project aimed to unravel key insights into donor behavior, preferences, and regional trends using SQL and R
-
Updated
Dec 29, 2023 - R
Customer Segmentation using R
r clustering eda k-means data-exploration clustering-algorithm k-means-clustering elbow-method customer-segmentation silhouette-method factoextra k-means-algorithm optimal-clusters optimal-number-of-clusters spending-score annual-income age-distribution customer-gender-visualization customer-gender
-
Updated
Jul 21, 2024 - R
Use k-means clustering to segment credit card customer data from a Kaggle dataset
-
Updated
Jan 31, 2019 - R
A repository of all my projects in R.
-
Updated
Jul 26, 2024 - R
I describe the methods used to segment customers of a Brazilian online retailer via K-means clustering of their recency, frequency, and monetary value of purchases.
-
Updated
May 10, 2021 - R
Customer Segmentation and Product Recommendation for ACME Innovations - School Project
data-mining r machine-learning-algorithms clustering-algorithm apriori-algorithm knn-classification ggplot elbow-method customer-segmentation product-recommendation knn-clustering
-
Updated
Oct 24, 2024 - R
This R project conducts a comprehensive analysis of customer distances and sales for retail stores. Leveraging SQL server connectivity, it calculates distances, categorizes sales within specified radii, and outputs insightful data for retail business decision-making.
-
Updated
Dec 3, 2023 - R
Customer segmentation is dividing the customers into segments based on RFM scores. In this project I've used RFM model in R to generate RFM score.
-
Updated
Mar 12, 2023 - R
This project performs data exploration, segmentation, and modeling of wholesale customer data using clustering algorithms, PCA, and decision trees to analyze purchasing behavior and predict customer channel preferences.
machine-learning clustering data-visualization pca data-analysis kmeans gmm decision-tree dbscan customer-segmentation
-
Updated
Nov 29, 2024 - R
A RFM model is implemented to relate to customers in each segment this code has been implemented in R
-
Updated
May 18, 2024 - R
This project performs customer segmentation using k-means clustering in R. It categorizes customers into different groups based on their age, income, and spending patterns, helping businesses target specific customer groups more effectively.
data-science machine-learning-algorithms data-visualization unsupervised-learning kmeans-clustering r-programming customer-segmentation market-analysis
-
Updated
Oct 16, 2024 - R
Analysis of SuperStore sales data with visual insights into customer segmentation and product trends
business-intelligence data-visualisation data-analysis sales-analysis customer-segmentation retail-analytics r-programming-language super-store-sales-analysis
-
Updated
Dec 21, 2024 - R
Improve this page
Add a description, image, and links to the customer-segmentation topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the customer-segmentation topic, visit your repo's landing page and select "manage topics."