MATRIX
Traffic × Conversion Matrix
Bubble size represents revenue contribution.
StarsConversion OpportunitiesHidden WinnersLow Priority
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FREE E-COMMERCE ANALYSIS TOOL
Product Performance Matrix
Identify products worth scaling, conversion leaks, and hidden winners using your own store data.
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Traffic × Conversion MatrixFunnel Leak SignalsRevenue OpportunitiesPriority Actions
01
How do you want to add your data?
Choose one method. We only show the next step you need.
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02
Download the analysis template
Keep the headers unchanged and use the same date range for every metric.
Mersad Product Performance TemplateXLSX · Ready to fill
Download Template ↓RequiredProduct Name or SKU · Product Views / Sessions · Add to Cart · Checkout Reached · Purchases · Revenue
OptionalCurrent Stock · Product Cost
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03
Upload your completed sheet
We validate the structure and funnel logic before calculating any result.
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02
Enter product data
Use one consistent funnel basis. If you use sessions, use sessions reaching each stage — not raw event counts.
CHECK
Fix the data before analysis
The tool will not generate a diagnosis from inconsistent funnel data.
ANALYSIS COMPLETE
Your product portfolio, diagnosed.
Results are relative to the products in this dataset, not universal industry benchmarks.
FUNNEL
Portfolio Leak Detector
Weighted progression across all analyzed products.
PRODUCT DECISIONS
Product-level performance analysis
Start here. Filter the portfolio by decision group, then review funnel and revenue context for each product.
SECONDARY PRIORITY VIEW
Investigation queue
Use this after the product table. It is a supporting prioritization view, not a replacement for the detailed analysis above.
How the diagnosis works
The matrix uses the median Product Views / Sessions and median Purchase CVR in the current dataset as relative cutoffs. Funnel signals compare each product stage with portfolio medians. Scenario upside is a mathematical scenario, not a forecast or guaranteed lift.
THE NUMBERS SHOW WHERE TO LOOK
Request a Funnel Review →The next question is why.
Validate the friction with behavioral data, analytics, UX research, and a structured CRO investigation before changing the store.
Product