Plan to spend at least 50 times your target cost per result each week on one ad set, and divide that by 7 for the daily budget.
Published October 30, 2026 · By the Three Second Fame team
The weekly budget for one Meta ad set is your target cost per result multiplied by 50. The daily budget is that weekly figure divided by 7.
The 50 comes from Meta. Meta's guidance is about 50 conversions in 7 days per ad set. The formula works backwards from that figure: if each conversion costs your target, 50 of them cost 50 times the target.
This is an example to show the arithmetic. It is not a recommendation for your account.
For example, if your target cost per result is $20, the weekly floor is $1,000 (50 × $20), and the daily budget is about $143 ($1,000 ÷ 7).
| Step | Calculation | Example result |
|---|---|---|
| Target cost per result | The figure you choose | $20 |
| Weekly floor | 50 × $20 | $1,000 a week |
| Daily budget | $1,000 ÷ 7 | about $143 a day |
Ad spend depends on the number of tests you run and the cost per result, not on how many creatives you make. Making more creatives adds production work. It does not raise the weekly floor for the ad set.
Early tests cost about twice the target cost per result. In the first tests, the same weekly budget therefore buys fewer results than the target implies. Plan for that before you judge the first test.
Change a budget by at most 20% at a time. Change it at most once in 3 days. Small, spaced changes let you see what each one did to your cost per result.
A cheaper event, such as a lead or a trial start, gives you more conversions per dollar than a purchase. More conversions per dollar means more signal for the same budget.
Three Second Fame builds the campaign and puts it up paused. Nothing is spent until you turn it on; only you can start spending. Your ad spend is separate from your plan and is paid to Meta or Google. You can read how it works or see the pricing.
Budget figures here are arithmetic on a target you choose. The numbers in this article are working starting points from our method, not platform guarantees and not promises of results. Check them against your own data.