Cross-Sell/Up-Sell Analyzer

Unlock Hidden Revenue in Your Data

Find Products That Sell Together

Upload your transaction data and instantly discover which products have strong affinity, enabling smarter bundling, recommendations, and up-sell strategies.

Product Affinity Lift ratios & support
Cross-Sell Rules If A then B patterns
Up-Sell Targets Premium opportunities
AOV Impact Revenue potential
A+B C+D E+F G+H I+J 0 50% 100% Support Lift

Key Metrics Calculated

Lift Ratio (Product Affinity)

Lift = P(A and B) / [P(A) x P(B)]

Support (Co-occurrence)

Support = Transactions with Both / Total Transactions

Confidence (Conversion)

Confidence = Transactions with Both / Transactions with A
Lift > 1 = Products bought together more than by chance

Higher lift = stronger affinity = better bundling opportunity

What You Get

Web-Based Tool User Manual Sample Datasets CSV Export

Use Cases

Product Bundling Recommendation Engines Store Layout Email Campaigns Pricing Strategy

Industries

Retail E-commerce SaaS CPG Grocery

Ready to Maximize Cross-Sell Revenue?

Dr. Koray Cosguner

Founder & Principal Consultant
Associate Professor of Marketing

miaow.consulting@gmail.com

Kelley School of Business
#1 Online MBA · #4 UG Marketing (U.S. News)
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