Before running a promotion, how can you assess the required sales uplift?
Compare discounts, sales volume and campaign costs using explicit assumptions.
Compare the contribution per order before and during the promotion, then assess whether additional volume can offset discounts and extra spending. Revenue, order count and advertising return alone cannot answer that question.
Define the baseline
The relevant comparison is what would happen over the same period without this promotion. Explain how baseline volume was estimated. Distinguish observations, forecasts and scenario assumptions. Bringing future orders forward or discounting orders that would otherwise sell at full price changes the comparison.
Start with a simple model
For a single product with constant unit costs and fees:
Promotional volume needed to preserve baseline contribution = (baseline volume × baseline unit contribution + additional fixed campaign cost) ÷ promotional unit contribution.
Unit contribution means the amount remaining after the variable costs and fees defined in this model. Use the same scope on both sides. The formula assumes existing fixed expenses stay unchanged. It compares contribution within that scope, rather than total business net profit or a new campaign's break-even point from zero.
If promotional unit contribution is zero or negative, this formula does not give a positive volume target that will recover the shortfall. Reconsider pricing, costs, fees or the purpose of the campaign.
Extend it when conditions change
Multi-product discounts can change product mix. Commissions may vary with the actual selling price, and acquisition cost may rise with volume. Refunds, gifts, shipping offers, storage and staffing may also change. Calculate these effects explicitly rather than applying one constant contribution figure.
Use conservative, base and stronger scenarios, with their volume, refund, cost and capacity assumptions visible. Scenarios are not promises. Check inventory payments and payout timing as well: a campaign can meet the modeled profit condition and still create a cash shortfall.
Discounts affect net sales and margin, so the margin implied by the listed price cannot simply be carried into a promotion. Shopify profit reports and discounts
This is a simplified analysis framework, not a decision for a particular business or proof of product performance. CaiGeek is being developed around this kind of scenario evaluation. Use the business's actual records and constraints, and check the website for released capabilities.
Written with AI assistance. Examples illustrate analysis methods; apply them using business records and relevant conditions.
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