What could your Meta Ads budget actually return?
Enter your numbers and we return an estimate across three scenarios, built on the usual ranges for your category. It is here to help you decide whether to test and with how much, not to promise anything.
This is an indicative estimate, not a forecast and not a guarantee of results. It is calculated from category reference ranges: your real numbers will depend on your offer, your creative, your landing page, auction competition and time of year. The only way to know your real figures is to measure your own campaigns.
Determines the cost and conversion ranges used in the calculation.
Only what you pay Meta, excluding management fees.
What a new customer bills on average the first time they buy.
What percentage of that sale you keep after direct costs.
Your real close rate. Note: a lead from a cold ad closes considerably worse than a referral. Without your own data, 8 to 15 percent is more honest.
Indicative estimate based on category ranges. Not a guarantee of results.
Estimated net return by scenario
Net return = gross margin generated − ad spend. Management fees not included.
With these numbers, ads do not add up
In the conservative scenario you would lose money. That does not mean Meta Ads cannot work for you — it means another lever has to move first: raise landing page conversion, raise average order value, improve the close rate, or lower cost per lead with better creative. Spending before fixing that is the most expensive way to find out.
Your maximum cost per customer
The three scenarios in detail
What sits behind the calculation
- The ranges for cost per thousand impressions, click-through rate and conversion come from typical category values, adjusted for each country market.
- The calculation assumes the landing page is built to convert. If it is not, real conversion falls below the conservative scenario.
- Agency management fees and creative production costs are not included.
- It is calculated on the first purchase. If your customers buy again, real return is higher than what you see here.
- Algorithm learning needs volume: with very few conversions per month, results are more volatile than any estimate suggests.
- Driving cost per lead down usually drives lead quality down with it. If raising spend brings cheaper, weaker leads, your close rate falls and real return lands below this estimate.
This is an indicative estimate, not a forecast and not a guarantee of results. It is calculated from category reference ranges: your real numbers will depend on your offer, your creative, your landing page, auction competition and time of year. The only way to know your real figures is to measure your own campaigns.
Want the calculation with your real numbers?
This calculator uses category ranges. In the audit session we do it with your figures: your real conversion rate, your real close rate and the cost per lead you are already paying if you have campaigns running.
Would you rather write directly? WhatsApp