The hidden 80/20 of your products
The 80/20 idea encourages you to measure whether a small share of products delivers most sales. It is a pattern to test, not a rule every business must follow.
Imagine this business
Imagine a catalogue of 100 products where 20 account for 76% of positive revenue. That is meaningful concentration even though it is not exactly 80%.
Measure, do not assume
Rank products on the same positive-revenue basis and check the actual contribution of the leading 20%.
Keep the other questions open
Product revenue alone does not establish margin, customer importance or the difficulty of replacement.
Two situations. Different implications.
Illustrative comparison — not actual customer data or a platform-calculated result.
| Measure | Range A | Range B |
|---|---|---|
| Basis | 100 products | 100 products |
| What's different? | Top 20 products generate 80% of revenue | Top 20 products generate 45% of revenue |
Range A is far more concentrated, although both have the same number of products. Neither pattern alone proves superior profitability or strategic quality.
Team discussion: Product and Sales teams can assess availability, coverage and customer importance before changing assortment.
Compare before you conclude
Compare the leading 20% of products' revenue share with the remaining 80%; compare rankings with recorded margin and category/customer relationships when available.
Who could act on this?
Teams: Product Management and Sales.
Product teams prioritise range review; Sales identifies products essential to customer relationships.
Ideas worth testing
Investigate availability, selective promotion, bundles and the long tail before any simplification.
Watch the trade-offs
Sales concentration is not a mandate to remove low-volume products.
Now ask a better question
Does the product ranking change with recorded margin or customer context?
What should I consider?
Identify what the numbers establish, what they do not establish, and which additional evidence you need before acting. Make a note of one question to investigate.
Try this with your own data
Where to look in your diagnostic
Concentration and Context
Data needed: Product ID + Revenue; Product Category for category context.
What to investigate: Start with product revenue concentration; examine category context before deciding on range changes.
Open the sample or run the free diagnostic, then find the named dashboard section. Sections appear only when your data supports them; some deeper investigation and exports require Professional access. Check Evidence & Coverage before drawing conclusions.
Numbers provide evidence. Good decisions require context and judgement. Treat this lesson as a starting point for investigation, not an instruction to change your business.