Enter the total number of visitors and the number of conversions to calculate your conversion rate, or provide a known rate and visitors to estimate conversions.
14,300 visitors producing 386 signups, then projecting what 25,000 visitors would produce at the same rate.
2.7 percent, which at 25,000 visitors would be about 675 conversions.
Enter visitors and conversions to get a rate; enter visitors and a rate to get the conversions that implies. The second direction is the planning one — it turns a traffic forecast into an outcome forecast, and it is the quickest way to check whether a target is reachable. If a goal needs 2,000 signups and your rate is 2.7 percent, you need roughly 74,000 visitors, and that is either plausible or it tells you the rate has to move rather than the traffic.
Sessions, users and unique visitors give three different rates from the same data, and switching between them mid-analysis produces a change that looks like a result. The same applies to scope: a site-wide rate mixes traffic that could never convert with traffic that was ready to, and the blend moves whenever your traffic mix moves. A rate measured on one page for one source is comparable over time; a site-wide blended one often is not.
A rate calculated from 12 conversions moves by more than a percentage point when a single extra person converts. Before concluding that a change worked, check how many conversions the figure rests on — with fewer than a few dozen, ordinary randomness is larger than most real effects you are trying to detect. This is the entire reason sample-size calculations exist.
A campaign that brings in a lot of loosely qualified traffic lowers the rate while raising total conversions, and a narrower campaign does the reverse. Optimising the rate in isolation quietly rewards shrinking your audience. Look at both numbers together, and judge on conversions and their value rather than on the percentage alone.
Divide conversions by visitors and multiply by 100. The only thing that needs care is the denominator — sessions, users and unique visitors are three different numbers, and the rate is only comparable over time if you always use the same one.
There is no portable answer. It varies by industry, by traffic source, by price and by what counts as a conversion, so an external benchmark is rarely comparable to your situation. Your own rate last month, and the same rate broken down by source and page, are the comparisons that mean something.
Divide the target by your rate as a decimal. For 2,000 conversions at 2.7 percent that is about 74,000 visitors. You can also enter the traffic and the rate directly here and read the projected conversions.
Usually because the conversion count is small. With few conversions, a couple either way moves the percentage substantially, and traffic-mix changes add more variation on top. Look at longer windows or larger volumes before treating a movement as a real change.
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