Email Marketing
ROI Calculator

It multiplies subscribers by emails per month to get monthly sends, applies your open rate to get opens, your click rate to those opens to get clicks, and your conversion rate to those clicks to get orders. Orders times average order value is monthly revenue; times twelve is yearly revenue. Annual ROI is yearly revenue minus yearly cost, divided by yearly cost, shown as a percentage.

Enter it as a share of opens. The calculator applies click rate to the emails that were opened, so it expects a click-to-open rate. If your reporting only shows clicks as a percentage of all delivered emails, divide that number by your open rate first. For example, a 1% click-through rate with a 20% open rate is a 5% click-to-open rate.

Cost per acquisition is your monthly email marketing cost divided by the number of monthly conversions the calculator estimates. It tells you what each order or sign-up from email costs you in platform spend. A falling cost per acquisition usually comes from a larger engaged list, better open rates, or a cheaper plan rather than from sending more often.

The benchmark table on this page treats about 400% annual ROI as average, 600% or more as good, and 1,000% or more as excellent. Those figures line up with roughly a 22% open rate, a 3% click rate, and a 2% conversion rate. Your own numbers depend on list quality, offer, and average order value, so compare against your past campaigns as well.

Enter what you pay your email platform each month, plus any add-ons such as dedicated IPs or extra sends. The default is $27. For reference, IGSendMail's Free plan covers 2,500 contacts and 3,000 emails a month at no cost, Starter is $19/mo for 50,000 emails with unlimited contacts, Pro is $49, and Business is $99. A lower cost raises ROI directly.

No. The calculator is an estimate built entirely from the numbers you type in; it does not know your industry, offer, or list quality. Treat the output as a planning tool: change one input at a time, such as open rate or average order value, to see which improvement moves revenue most, then test that change in real campaigns.