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An ad test budget starts with the amount you can afford to spend to acquire a customer. A daily spend copied from another business tells you little about that limit. Start with one order, calculate its contribution before advertising, and decide how much of that contribution you want to retain.
The figures below are a worked example, not a performance benchmark or a forecast. Replace every input with your own numbers before spending.
Imagine a shop selling a product for $80. For this example, $80 is the revenue the shop retains before the costs listed below; sales tax collected on behalf of a tax authority is excluded.
| Item | Per order |
|---|---|
| Revenue | $80 |
| Product and packaging | $24 |
| Shipping paid by the shop | $6 |
| Payment processing | $3 |
| Expected variable returns cost | $2 |
| Contribution before advertising | $45 |
The contribution is $80 minus $35 of variable costs, or $45. Advertising that costs $45 to produce one order consumes that entire contribution. It leaves nothing from that order to cover fixed overhead or profit.
If the shop wants to retain $15 after advertising, its target acquisition cost is $30. That target is a planning choice. It is not a promise that a platform can deliver customers at that price.
Use the break-even ROAS calculator to check the relationship between contribution margin and advertising return. Include each variable cost once, and use the same revenue definition throughout.
For the example shop:
The ROAS calculator lets you check revenue against spend. ROAS alone does not tell you profit: two shops can report the same return while having very different product costs and margins.
Do not use assumed repeat purchases to make the first order look profitable. If you have measured repeat-order contribution over a defined period, model it separately and label that period. Otherwise, begin with the first order.
A useful first question is narrow: can one offer, shown to one audience with a few creative variations, produce orders at an acquisition cost this business can support?
Write down the offer, landing page, event you count as a conversion, target acquisition cost and maximum affordable loss before launch. Check that a real order reaches your measurement system and that duplicate events are handled. A budget cannot repair broken tracking.
Suppose the example shop allocates $300 of media spend. At the target acquisition cost of $30, ten orders would use that budget. Ten orders are arithmetic, not a prediction or a statistically reliable sample size. Zero orders is also possible. A small test may expose a checkout problem or a weak message without establishing a stable acquisition cost.
Media spend is the amount paid to distribute the ads. Your total commitment may also include creative production, software, agency fees and applicable taxes. Keep those amounts visible rather than treating the platform budget as the entire cost.
The Facebook ad budget calculator distinguishes planning inputs and budget assumptions. When using Vibiz for an example daily budget, the service-fee calculation is:
$6 a day on a $30 daily budgetAccount for that fee in the total cash you can commit. If you compare performance reports, state whether the acquisition cost uses media spend alone or all acquisition costs; changing the denominator changes the conclusion.
At the review point you set in advance, record spend, orders, revenue, acquisition cost and contribution after advertising. Check the underlying order data before treating a reporting discrepancy as a creative failure.
If clicks arrive but purchases do not, inspect the offer and checkout. If people misunderstand the product, revise the creative or landing page. If orders arrive above your affordable acquisition cost, the test has not met the business target even if the ads look attractive.
Change one main hypothesis for the next test and record why. Avoid increasing the budget simply to recover what has already been spent. Your loss limit is a business constraint, not a target to exceed until the chart improves.
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