An advertising dashboard may show inexpensive leads and revenue several times greater than media spend. Yet after paying the team, fulfilling orders and issuing refunds, the business may have nothing left.
To assess whether advertising pays off, you need to connect it to customers and sales economics. Let’s examine what ROAS, CPL and customer acquisition cost tell you, then work through a hypothetical example.
A ROAS of 4 means 4 units of revenue for every 1 unit of media spend, or 400%. It does not mean 400% profit.
In an advertising dashboard, the numerator may be an assigned conversion value rather than revenue. If each lead has an estimated value assigned to it, the resulting ratio cannot be treated as an actual return from sales. Google explains these values in its guide to conversion values.
Define which costs CAC includes in advance. These may include media spend, provider fees, assets, tools and enquiry handling. Allocate shared costs between channels using clear rules. If you count only the advertising budget, label the metric accordingly.
CPL shows the beginning of the journey. It does not tell you whether the person was reached, whether the service suited them or whether a sale closed.
Track the sequence:
Lead → contact established → qualified lead → proposal → new customer.
If CPL falls but the share of suitable enquiries and sales drops, the final customer acquisition cost can rise. Compare the same offers and use consistent qualification criteria.
For services with a lengthy approval process, evaluate a cohort of leads after allowing enough time for sales. Dividing this month’s spend by deals from last month’s enquiries without explanation mixes different acquisition periods.
All figures below are invented for illustration. This is neither an agency case study nor a market benchmark. Assume lead handling is complete. Revenue and costs exclude VAT; business overheads and income tax are not included.
The results are:
Before refunds, ROAS would have appeared to be 5. However, even at 4.5, the €2,700 remaining after fulfilling orders is insufficient to cover €3,000 in acquisition costs.
The −€300 balance is not a calculation of the company’s net profit: overheads and taxes must be considered separately. But it already shows that this cohort of sales did not cover the listed costs.
Start with the amount remaining from a sale after its associated variable costs. Then determine how much you need to retain for overheads and your planned outcome.
Acceptable CAC = amount remaining from sales per new customer before acquisition costs − amount you need to retain.
In our example, €270 remains per customer. If you need to retain €90, the acceptable CAC is €180. This is a hypothetical management limit, not a universal benchmark.
The ROAS threshold also depends on the cost structure. If 30% of revenue remains after variable costs, covering media spend alone requires a ROAS of approximately 3.33: 1 ÷ 0.30. Including the additional €1,000 in costs alongside €2,000 in media spend raises the threshold in our example to 5: (2,000 + 1,000) ÷ (2,000 × 0.30).
Both thresholds assume the example’s conditions remain unchanged and leave nothing for overheads or profit. You therefore cannot choose a target ROAS solely from another company’s advertising report.
Do not add revenue from different advertising dashboards without checking unique orders. A sale attributed to advertising does not itself prove the purchase would not have happened without it: assessing incremental impact requires separate checks.
Repeat purchases may allow a higher acquisition cost, but consider the amount remaining after costs, when money arrives and actual repeat-sales data. Expected customer value does not replace the cash you need today.
At iuntsevich.cz, you can discuss advertising setup and management, with evaluation of enquiries, customers and costs. The scope and terms are set out in our advertising proposal.
CPL helps you monitor contact acquisition, ROAS connects media spend with revenue, and customer acquisition cost reflects acquisition economics. Assess whether advertising pays off after comparing these metrics with the costs of fulfilling sales.