Case Study
Real example from retail transaction data
What This Looks Like In Practice
Here is a real example from retail transaction data:
Transactions analyzed
Products
Purchase combinations evaluated
Example Insights
1. Strong Bundle Opportunity
WHITE HANGING HEART T-LIGHT HOLDER + HEART OF WICKER SMALL
- Appears together in 25.8% of orders
- 2.08x more likely to be bought together than average
What to do: Show these as Frequently Bought Together on the product page.
2. High-Conversion Add-on
JAM MAKING SET PRINTED + JUMBO STORAGE BAG SUKI
- Appears together in 31.5% of orders
- Strong cross-sell behavior
What to do: Suggest as a cart add-on during checkout.
3. Extremely Strong Pair (Missed Visibility)
PAPER CHAIN KIT VINTAGE CHRISTMAS + PAPER CHAIN KIT 50'S CHRISTMAS
- Appears together in 71.8% of orders
- 3.29x stronger than normal purchase behavior
What to do: Show together prominently (product page or bundle suggestion).
Hidden Revenue Drivers (Most Stores Miss This)
Some products do not appear often-but quietly drive significant revenue.
- SPOTTY BUNTING
- REGENCY CAKESTAND 3 TIER
- CHOCOLATE HOT WATER BOTTLE
These products generate strong revenue but are underutilized.
What to do: Pair them with popular products to increase visibility and sales.
Product-Level Insight
60 CAKE CASES VINTAGE CHRISTMAS
- High total sales volume
- Consistently part of multi-item purchases
What to do: Use as a cart add-on to increase basket size.
What This Means
All of these opportunities already exist in your store.
No ads. No new traffic.
Just better use of your existing data.
Why This Works
- Shows real insights and builds trust
- Shows clear actions and feels useful
- Avoids hype and feels credible
See how these opportunities can be converted into practical, high-confidence actions.
No setup required • Works with your existing sales data
