Email course open, click and completion rates: the numbers

What the opt-in page converts

A page whose only job is the course converts far better than a form placed inside something else. For a dedicated opt-in page, with nothing on it but the promise, the day-by-day contents and one field, reached by people who followed a link to it, plan on 15 to 30 per cent of visitors. That is a planning band rather than a published measurement: no published benchmark states a conversion figure for pages that offer one free thing to readers who came looking for it, and the band is wide because the visitor’s intent moves it more than anything on the page does. An inline form in a sidebar, a footer or the end of an article typically converts in the low single digits, often quoted as 1 to 3 per cent. A well-timed exit or scroll prompt sits between the two, usually in the mid single digits.

The nearest published figure is Unbounce’s. Across 41,000 landing pages and 464 million visitors in the fourth quarter of 2024, the median page converted 6.6 per cent. It is the middle of all those landing pages, so half of them convert below it, and it is the wrong comparison for a page with one offer: it is taken across all industries, and the report itself says the definition of a conversion can vary greatly from one landing page to the next. The same report says a newsletter sign-up page converting 5 per cent may be considered low. A page offering one free course to people who came looking for it should sit well above that median, and one sitting near it is telling you the promise or the traffic is wrong.

The gap is mostly intent rather than design. Somebody who followed a link that said five-day course had already made most of the decision. Somebody who reached the bottom of an article came for the article. No work on the form changes which of the two is looking at it, which is why the highest-leverage change to an opt-in rate is upstream of the page.

Two things on the page do move the number. One is the number of fields: a first name as well as an address is commonly reported to cost around a tenth of sign-ups, and it buys nothing in a sequence identical for everyone. The other is specificity: a page listing what each of the five days covers sells something a reader can evaluate, where sign up for my free email course asks them to guess.

What confirmation costs, and why it is worth it

Under confirmed opt-in, which is the same thing most people mean by double opt-in, nothing is delivered until the address owner clicks a link in a first message. Expect to lose a fifth to a third of sign-ups at that step. That range is the one commonly cited in published double opt-in comparisons, and it is wide because it depends heavily on where the confirmation lands and how clearly the opt-in page warned that it was coming.

The loss is not random, which is the point. What does not confirm is mistyped addresses, bot submissions and interest that did not survive thirty seconds. What does confirm is a person who took a deliberate second action. A list of 200 confirmed readers beats 300 unconfirmed ones on every metric that follows, without the complaint rate that damages delivery for everyone else on the same sending domain.

Part of that loss is recoverable. Say on the opt-in page that a confirmation is coming and from what name, send it immediately, and put the link high as readable link text. Send exactly one reminder a day later, which commonly recovers a slice of the gap. Then stop: an address that has had one message and one reminder has answered.

The shape of the drop-off, day by day

Engagement in a course does not decay smoothly. It falls sharply from day one to day two, flattens across the middle, and often ticks up on the final day. Day one arrives while the reader is still looking at the inbox, having just clicked a confirmation link, so it is the high point and no later day will match it. Reading day one as the baseline is the commonest way to misread your own numbers.

Day two reveals the real audience, and the fall from day one to day two is normally the largest in the sequence. Days three and four are comparatively flat: the readers still there have a habit, and a course short enough to see the end of does not shed many. Day three is still where courses are abandoned in the sense that matters, because it is where a reader decides whether the middle is worth the mornings.

The last day often performs better than the day before it. Two things cause that: the subject line says the course is finishing, which is a reason to open now rather than never, and the readers still present are self-selected. Unsubscribes across a five-day course usually total a low single-digit percentage of confirmed readers, and much above that means the opt-in page promised something the course is not delivering.

Numbers published by people who ran one

Four people who ran an email course have published what it did, with the length and cadence beside the numbers. They are the nearest thing to measured figures for this format, and every one of them is self-reported.

Read them with three caveats. Close’s and Greig’s open rates were measured in 2015 and 2016, years before Apple announced Mail Privacy Protection in June 2021, so they are not comparable with any open rate taken since; Clouse’s 71 per cent was taken after it and is inflated by it to an unknown degree. Most of Clouse’s readers were already subscribed to his newsletter, which he says himself. And none of the four reports a click on the last day, the one figure this page argues is worth tracking, so none of them tells you what share of readers finished.

Completion is a click, not an open

Apple Mail Privacy Protection loads remote content, including the invisible image an open is measured by, through a proxy whether or not the reader looked at the message. Apple documents it plainly: the feature stops senders knowing when mail has been opened. On any list with a substantial share of Apple Mail readers, and most consumer lists have one, the open rate rises when nobody reads anything. It is not noisy data; it is wrong in a consistent, flattering direction.

So define completion as a click. Give every day one link that a reader who actually did the thing has a reason to press, and count completion as a click on the last day. Plan for one in ten to one in four of confirmed readers, with longer courses lower. That number is several times smaller than an open-based figure and it means something, because a click is an act a person chose to perform.

Clicks are inflated a little by security scanners and link previewers, so treat the rate as an upper bound rather than a headcount. And put the link somewhere it belongs: a worksheet, the next step, a reply prompt, not a read-more.

A worked funnel from a thousand visitors

The bands compound, which is why the honest answer to what a course converts is a wide one. A thousand people arriving at a dedicated opt-in page produce between ten and sixty readers who click on the final day. Both ends are ordinary, and the difference is almost entirely how well the traffic matched the promise.

Read it downward and the useful question appears. If your submission rate is 4 per cent, the problem is the page or the traffic and nothing below is worth touching. If submission is healthy and confirmation sits at 50 per cent, the confirmation email is landing wrong. If confirmation is fine and day one clicks are near zero, the first email is not delivering value in its first line.

What actually moves each number

Almost every real improvement is upstream of the thing being measured. A better fourth email does not fix a confirmation rate, and a redesigned form does not fix traffic that was never interested. The order below is the order of leverage, close to the reverse of the order people work in.

Stage by stage, the change that moves the number and the one that does not:

• Opt-in rate: where the traffic comes from, then how specific the page is about the five days, then cutting the form to one field. Not button colour, and not a longer page.
• Confirmation rate: warning the reader that a confirmation is coming, sending it instantly, putting the link high as real link text, and one reminder a day later.
• Day 1 clicks: something useful in the first line instead of an explanation of what the course will cover, sent on confirmation rather than at the next morning window.
• Day 2 retention: whether day one asked for an action small enough to have been done. A reader who completed something on Monday opens Tuesday.
• Completion: matching the promise to the reader at sign-up. The largest factor, and decided before anyone reads a word.
• All of it at once: authentication on the sending domain, a consistent From name, a working one-click unsubscribe. A course in the spam folder has no funnel.