Uncover Hidden Customer Insights with RFM Analysis Expertise

Uncover Hidden Customer Insights with RFM Analysis ExpertiseUncover Hidden Customer Insights with RFM Analysis Expertise

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Advik Rathee

• 6h

Built this one for an e-commerce customer behavior project - 18,000+ customers, segmented using RFM (Recency, Frequency, Monetary) analysis.

The interesting part wasn't the segmentation itself, it was what it revealed: nearly 22% of customers were "at risk" of churning, and most businesses wouldn't know that until those customers had already stopped buying.

This is the kind of insight that's usually sitting in your order data already, it just needs the right lens. Happy to take a look at your numbers if you're curious what's hiding in yours.

Tools used: Power BI, SQL, Python (Pandas, Scikit-learn for clustering)

Data Modeling Data Visualization dataanalytics Python Microsoft Power BI Data Analysis

Matthew AFOLABI

• Jul 9

Retail Sales Analytics Dashboard (Power BI) Interactive Power BI dashboard analysing two years of retail sales — revenue, profit, margins, top customers, and monthly trends. Built with data modelling and DAX measures.

Link: github.com/AYOOLUWA1996/retail-sales-analysis

Data Analysis Data Entry Data Visualization Python SQL Microsoft Power BI

Matthew Sweeting

• Jul 8

This is a data cleansing project.

Data Analysis Data Entry Excel VBA

Erin Riggers

pro

• Jul 9

Show us the raw data! 😄

Savan Sojitra

pro

• Jul 9

Designed the dashboard for a next-gen crypto platform 🚀 Clean data visualization, real-time portfolio tracking, and an AI-powered trade assistant, built to make complex crypto data feel simple and intuitive. Designed in Figma with a bold, dark UI aesthetic.