Discount Impact Calculation Check

Verify the maths of a planned promotion.

Added October 15, 2026. Written with AI assistance and checked for clarity and placeholders; not reviewed by a lawyer, accountant, clinician or other professional. How these prompts are made

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[VERIFY] is an editorial flag, not a blank to fill. Wherever the prompt shows [VERIFY], check that item against a reliable source before you use it (what [VERIFY] means).

Check the maths of a discount. Price, cost, current volume, discount percentage and expected extra volume: [DISCOUNT_DATA]. Customer behaviour I know of: [BEHAVIOUR]. Duration: [DURATION].

Calculate the extra volume needed to keep total margin the same, compare with my expectation, and show best, expected and worst cases. Include the cost of any marketing for the promotion.

Return a table with Scenario, Volume, Margin and Difference from no discount, a plain-language conclusion, and a note on what data would make the estimate stronger.

Also suggest a plan for measuring the real effect afterwards, using a comparison period, and a rule for ending the promotion if results fall short.

Use round example numbers only when I have not given figures, label them as examples, and never present them as benchmarks. Tag industry norms [VERIFY] with their source.

Add a final note listing documents or records I should create or update as a result of this review, each with an owner placeholder.

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Arithmetic (invented)
Price 50, unit cost 30, margin 20 a unit; current volume 400 a month; margin 8,000.
Discount 10%: price 45, margin 15. Volume needed to keep margin: 8,000 / 15 = 533, so +133 units (+33%).
Expected extra volume from the owner: +20% (480 units). Margin 7,200 (down 800). Add promotion cost 300: down 1,100.
Cases: best +40% (560): 8,400; expected +20%: 7,200; worst +5% (420): 6,300.
Conclusion: the discount pays only if volume rises more than 33%. Data to strengthen: past promotion results.

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