THE NUMBERS, EXPLAINED
How to use this calculator.
Expected demand, not a probability distribution. One conversion and basket-size assumption applies to each footfall scenario; product mixes are weighted shares.
Start with your inputs
Enter footfall scenarios (people), assumed purchase conversion (%), units per purchase, product mix weights. Keep amounts in the units shown on each field. The example is a starting point, not a recommended value.
| Input | Example value |
|---|---|
| Footfall scenarios (people) | 500,1000,1500 |
| Assumed purchase conversion (%) | 10 |
| Units per purchase | 2 |
| Product mix weights | 3,2 |
A worked example
With the example inputs above, expected units by footfall scenario is 100, 200, 300. Change the inputs to explore your own scenario.
| Result | Example answer |
|---|---|
| Expected units by footfall scenario | 100, 200, 300 |
| Product demand in final listed scenario | 180, 120 |
| Conversion-adjusted customers by scenario | 50, 100, 150 |
How this is calculated
Expected units by footfall scenario
Multiply footfall by conversion fraction and units per purchase.
Product demand in final listed scenario
Allocate the final scenario demand across supplied product weights.
Conversion-adjusted customers by scenario
Apply assumed purchase conversion to each footfall scenario.
Symbols and units
- a
- Footfall scenarios (people)
- b
- Assumed purchase conversion (%)
- c
- Units per purchase
- d
- Product mix weights
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions and limits
Expected demand, not a probability distribution. One conversion and basket-size assumption applies to each footfall scenario; product mixes are weighted shares.
Calculations use the values you enter. Blank or invalid inputs show an error instead of silently substituting zero. Results are displayed to useful precision; calculations retain the underlying numeric precision.
Questions about this tool
What does the result tell me?
Expected units by footfall scenario; Product demand in final listed scenario; Conversion-adjusted customers by scenario. The result applies to the method and inputs described above. Check the units and assumptions before using it in a decision.
Why might another calculator differ?
Differences in units, rounding, timing or model definitions can produce different answers. Compare the input definitions and the method, rather than only the final number. For this tool: Expected demand, not a probability distribution. One conversion and basket-size assumption applies to each footfall scenario; product mixes are weighted shares.
Are my inputs stored or sent to AI?
Calculations on this page happen in your browser. The separate AI question finder sends its submitted conversation to OpenAI; these calculator fields are not sent. Favourites and recent tool names are stored locally. A shared link contains the inputs you choose to include.
Further reading
OpenStax: Solve proportions and their applications ↗
Background reading; this does not imply endorsement or independent review of SumFizz.
Review status
Software example and browser checks are recorded in our quality report. No external expert review is claimed. Created with coding assistance; calculations run as ordinary browser code.
Read the quality report →