Examples
Examples
Try the starting example
- Recommendation slots in rank order: product ID, brand, category
- P1,BrandA,Dress P2,BrandA,Shoe P3,BrandB,Dress P1,BrandA,Dress
- Entered maximum acceptable brand slot share (%)
- 50
- Distinct product IDs / recommendation slots (%)
- 75
- Repeated product slots beyond first occurrence
- 1
- Distinct brands
- 2
- Distinct categories
- 2
- Brand slot-share concentration HHI
- 0.625
- Largest brand slot share (%)
- 75
- Brands exceeding entered share threshold
- BrandA
Try another scenario
- Recommendation slots in rank order: product ID, brand, category
- P1,BrandA,Dress P2,BrandA,Shoe P3,BrandB,Dress P4,BrandC,Bag
- Entered maximum acceptable brand slot share (%)
- 50
- Distinct product IDs / recommendation slots (%)
- 100
- Repeated product slots beyond first occurrence
- 0
- Distinct brands
- 3
- Distinct categories
- 3
- Brand slot-share concentration HHI
- 0.375
- Largest brand slot share (%)
- 50
- Brands exceeding entered share threshold
- None
Calculation method
Calculation method
Distinct product IDs / recommendation slots (%)
Distinct supplied product IDs/slot count×100.
Repeated product slots beyond first occurrence
Slots−distinct IDs; duplicate IDs with conflicting brand/category metadata are rejected.
Distinct brands
Count supplied brand labels.
Distinct categories
Count supplied category labels.
Brand slot-share concentration HHI
Sum squared brand proportions over every recommendation slot, including repeated products.
Largest brand slot share (%)
Maximum brand slot count/slot count×100.
Brands exceeding entered share threshold
List brands whose slot share strictly exceeds the supplied threshold; no automatic recommendation changes are made.
Symbols and units
- a
- Recommendation slots in rank order: product ID, brand, category
- b
- Entered maximum acceptable brand slot share (%)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- A provided-list diversity and repetition audit. HHI is a descriptive concentration score, not a quality, fairness, relevance or personalization guarantee.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.
Further reading
Google Merchant Center: product-data terminology and consistency background ↗
Background reading; this does not imply endorsement or independent review of SumFizz.