Illustrative fractional values reflect expected-value arithmetic, not literal partial customers. This model excludes platform fees, taxes, refunds, tracking discrepancies, and other costs. It does not predict your campaign.
How the estimates work
Budget divided by cost per click gives modeled clicks. Clicks multiplied by opt-in rate gives modeled leads. Leads multiplied by your assumed customer rate gives modeled customers. Multiply by revenue per customer for gross revenue; subtract ad spend for a simplified net. If modeled customers are zero, break-even revenue per customer is undefined.
Use the calculator before and after a test
Before buying, vary one assumption at a time and define your maximum loss. After a test, replace assumptions with recorded results, note any extra costs, and use a consistent attribution period. Read how to collect actual metrics and how seller pricing works.
Read the result as a scenario, not a forecast
Enter a hypothetical number of purchased clicks, price per click, opt-in rate, lead-to-sale rate and realized revenue per sale. The tool multiplies those assumptions to show estimated spend, sign-ups, sales, revenue and a simple media-only return. It cannot know whether the provider's counted clicks become loaded-page visits, whether a merchant attributes a commission, or whether a later refund reverses revenue.
Work through an example on paper
Suppose 300 quoted clicks cost $0.50 each: media spend is $150. At an assumed 10% sign-up rate on those clicks, the model gives 30 leads. If an assumed 5% of leads purchase, it estimates 1.5 sales. That fractional result is an expected-value calculation across hypothetical outcomes, not half of a real transaction. At $80 of revenue per sale, modeled revenue is $120 and media-only return is ($120 − $150) ÷ $150 = −20%.
A different set of assumptions can produce a very different answer. Try halving the opt-in rate, delaying attribution, or reducing realized revenue to account for refunds where relevant. If your plan only works at an aggressive assumption, treat that fragility as information before buying.
After a live test, replace assumptions with observations
Use the provider report for its actual defined click event and your own analytics for actual page visits. Use your email or CRM system for valid leads, and settlement records for realized revenue. If you calculate opt-in rate using observed visits but the calculator's traffic field uses purchased clicks, you are mixing denominators. Either adapt the inputs explicitly or calculate the measured figures separately in your campaign report.
What the simple ROI excludes
It does not automatically include payment fees, production time, ongoing email-service costs, taxes, refunds, delayed purchases or customer lifetime value. Do not add speculative future revenue to “prove” a campaign was profitable. Decide which costs and benefits belong in your own business report and use the same boundaries every time. For the underlying formulas, read cost per lead and conversion rate.
Useful next steps
Guide reviewed September 19, 2026. Provider recommendations and purchase terms can change; confirm current details before ordering.