Act on the result
Set a maximum acceptable volume-loss boundary before approving the increase.
Educational only: Business decision support, not accounting, tax or legal advice.
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Update policy: Reviewed when formulas or official dependencies change.
Scope: Market-neutral small-business planning using your own assumptions.
Owners stress-testing a proposed increase against explicit volume-loss assumptions.
Tolerable volume loss, elasticity scenario profit and ordered sensitivity results.
Enter the current and proposed ex-tax prices, then test a bounded demand-response assumption.
Use a different tool when: Do not use this to design volume tiers; use Tiered Pricing Profit Planner for that decision. Use this tool to test a price increase.
Price & margin
Tolerable volume loss, elasticity scenario profit and ordered sensitivity results.
Amounts use the same currency as your inputs. No currency conversion is performed.
Stress-test a price increase against volume loss.
Your numbers stay in this browser
Current ex-tax price.
New ex-tax price.
Cost per unit.
Current period units.
Negative scenario response, not a forecast.
Every result is derived by the registered pricing engine.
Each row names the assumption axis changed from the baseline.
Save these results, change an input, then compare the updated figures with this baseline.
The baseline is temporary in this tab and is not added to shared scenario links or generated reports.
proposed unit contribution ร elasticity volume โ baseline contribution3,760 , ex taxUses the entered assumptions on one consistent ex-tax commercial basis. The engine retains full precision; presentation is bounded for readability.
Price Increase Profit Impact Planner formulas โ(current price โ variable cost) ร baseline volume45,000 , ex taxUses the entered assumptions on one consistent ex-tax commercial basis. The engine retains full precision; presentation is bounded for readability.
Price Increase Profit Impact Planner formulas โ1 โ baseline unit contribution รท proposed unit contribution15.09%Uses the entered assumptions on one consistent ex-tax commercial basis. The engine retains full precision; presentation is bounded for readability.
Price Increase Profit Impact Planner formulas โmax(0, baseline volume ร (1 + elasticity ร price change rate))920 operational unitsUses the entered assumptions on one consistent ex-tax commercial basis. The engine retains full precision; presentation is bounded for readability.
Price Increase Profit Impact Planner formulas โThis calculator supports documented, shareable scenario URLs. Compatible assistants and applications can construct links using the parameters below.
Scenario links contain only allowlisted numeric and closed-choice inputs shown in the URL; Margin101 excludes free text and identifying fields. Anyone you share the URL with can read those numbers, so do not include private or identifying data.
| Parameter | Meaning | Unit | Allowed values | Presence | Default |
|---|---|---|---|---|---|
| baselineVolume | Current period units. | whole product units/comparison period | 0 to 10000000 | Required | 1000 |
| currentPriceExTax | Current ex-tax price. | currency units/product unit, ex tax | 0 to 10000000 | Required | 100 |
| elasticity | Negative scenario response, not a forecast. | proportional volume change / proportional price change | -10 to 0 | Required | -1 |
| proposedPriceExTax | New ex-tax price. | currency units/product unit, ex tax | 0 to 10000000 | Required | 108 |
| variableCostExTax | Cost per unit. | currency units/product unit, ex tax | 0 to 10000000 | Required | 55 |
The scenario result compares the proposed price gain with the explicit demand response entered by the user.
Data used here
Set a maximum acceptable volume-loss boundary before approving the increase.
Retest demand response across a bounded range rather than relying on one elasticity assumption.
Educational estimate, not advice. See all assumptions & limitations โ
Guides to interpret the decision and its assumptions.
Build a price-rise decision from a reconciled baseline, downside scenarios, offer boundaries, rollout checkpoints and review evidence.
Read guideCompare price and unit-cost levers on the same contribution basis, then test their different demand, quality, capacity and timing risks.
Read guideSet a maximum acceptable volume-loss boundary before approving the increase.
Compare a plausible alternative scenario and verify the decision-critical assumption that changes the plan most.