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.
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Updated
May 10, 2021 - 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.
Use k-means clustering to segment credit card customer data from a Kaggle dataset
A repository of all my projects in 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.
Optimizing Marketing Strategies: RFM Analysis and Machine Learning for Customer Segmentation
Customer Segmentation Analysis using K-means Clustering Algorithm in R
A RFM model is implemented to relate to customers in each segment this code has been implemented in 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.
The goal of this project is to identify segments of customers based on common characteristics or patterns.
Customer Profile & Shopping Behavior Analysis is an R-based project analyzing customer data from retail stores, focusing on segmentation, seasonal trends, and market behaviors.
This exploratory data analysis project aimed to unravel key insights into donor behavior, preferences, and regional trends using SQL and R
K-means as an unsupervised machine learning technique. Customer Segmentation Case.
Customer clustering with k-means and DBSCAN
Customer Segmentation using R
Materi praktikum Talent Scouting Academy (TSA) Kominfo 2023-Customer Segmentation
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.
The aim of this project is to analyze the spending behavior of customer groups using various techniques.
Showcase for using H2O and R for scoring for marketing campaign in retail
Tools for Customer Segmentation using RFM Analysis
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