UK Online Retail — E-Commerce Analytics

Dec 2010 – Dec 2011  ·  4,338 Customers  ·  Generated by energent.ai

💰
Total Revenue
£8.91M
13-month period
📈
Peak Monthly Revenue
£1.16M
Nov 2011
👥
Total Customers
4,338
RFM Segmented
🏆
Champion Customers
947
21.8% of base
Revenue Trends

Monthly Revenue Performance

Dec 2010 through Dec 2011 — monthly total sales revenue in GBP

Monthly Revenue Over Time
Area chart with revenue trend — Q4 2011 shows strong seasonal uplift
Product Performance

Top 10 Products by Revenue

Ranked by total sales revenue across the full period

Top 10 Products by Total Revenue
Horizontal bar chart — hover for exact revenue values
Customer Analytics

RFM Customer Segmentation

Customers classified by Recency, Frequency, and Monetary value into behavioural segments

Customer Segment Distribution
Donut chart — relative share of each RFM segment
Segment Counts
Ranked bar chart — absolute number of customers per segment
RFM Segmentation Insights
  • Champions (21.8%) — 947 high-value, recently active repeat buyers. Priority retention targets for loyalty programmes and exclusive offers.
  • Lost Customers (24.8%) — 1,074 customers who have not returned. Win-back campaigns with targeted incentives are recommended.
  • Loyal Customers (17.5%) — 761 consistent buyers with strong frequency. Ideal audience for upsell and cross-sell initiatives.
  • At Risk / Churning (15.2%) — 661 previously active customers showing declining engagement. Proactive re-engagement is critical to prevent full churn.
  • Recent & Low Frequency (15.2%) — 661 newer customers with limited purchase history. Onboarding flows and first-repeat-purchase incentives can convert these to Loyal.
Market Basket Analysis

Product Association Rules

Frequent itemsets revealing products commonly purchased together — supports personalised recommendations and bundle strategies

Support vs. Confidence Scatter Plot
Bubble size = Lift — higher lift indicates stronger-than-random co-purchase association
Top Association Rules — Ranked by Lift
Top 10 rules by lift score. Confidence bar shows strength of the if-then relationship.
# Antecedent (IF bought…) Consequent (…THEN also buys) Support Confidence Lift