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Results

Forecasted Conversions
250
expected conversions
Expected visitors 10,000
Conversion rate 2.5%
Non-converting visitors 9,750

What Is the Conversions Forecast Calculator?

The Conversions Forecast Calculator estimates how many conversions you can expect from a given amount of traffic. A "conversion" is any goal completion you care about — a sale, a sign-up, a lead form, a download, or any other measurable action. By combining your expected visitor count with your conversion rate (CVR), you get a quick, reliable forecast for planning campaigns, budgets, and targets.

How to Use It

Enter the number of visitors you expect (for example from an ad campaign, an email blast, or monthly organic traffic), then enter your conversion rate as a percentage. The calculator multiplies the two and returns the forecasted number of conversions, along with how many visitors are expected not to convert.

The Formula Explained

The math is simple: $$\text{Conversions} = \text{Visitors} \times \frac{\text{CVR (\%)}}{100}$$ The conversion rate is divided by 100 to turn a percentage into a decimal multiplier. A 2.5% rate becomes \(0.025\), so each visitor contributes \(0.025\) of a conversion on average.

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Funnel diagram showing visitors multiplied by a percentage to produce conversions
Conversions equal visitors multiplied by the conversion rate.

Worked Example

Suppose a landing page receives 10,000 visitors and historically converts at 2.5%. The forecast is $$10{,}000 \times \frac{2.5}{100} = 10{,}000 \times 0.025 = \mathbf{250} \text{ conversions}$$ The remaining 9,750 visitors leave without converting.

Simple bar chart showing increasing conversion forecast over time
Higher traffic or CVR scales your forecast conversions upward.

FAQ

What is a good conversion rate? It varies widely by industry, but many e-commerce sites average 1%–3%, while well-optimized lead pages can exceed 10%.

Can I forecast revenue too? Yes — multiply the forecasted conversions by your average order value or revenue per conversion.

Why is my result a decimal? Conversions are an average expectation, so partial values are normal in a forecast. Round to whole numbers when reporting actual counts.

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