They Opened It Fifteen Times and Never Bought
Executive Summary (TL;DR)
I was going through the Mailchimp reports on a campaign for a medical aesthetics course platform when I noticed one subscriber had opened the same email fifteen times.
Not clicked. Opened. Fifteen.
They hadn't bought anything.
That is not what a disinterested person does. It's also not what a ready buyer does — a ready buyer clicks once and checks out. Fifteen opens is somebody standing in front of a decision they can't make, coming back to look at it again. And no email I could write was going to resolve it, because the thing stopping them wasn't in the email.
What I'm claiming, and what I'm not
I built and ran the email side of this platform. Over a 90-day stretch its monthly revenue grew by roughly 575%.
I am not going to tell you email did all of that. In any 90-day window where revenue moves that far, more than one thing is moving. Honestly? I don't know everything else that changed in that period. I think some of it was payment options — I'll come back to that, because it turned out to matter more than I expected — but I wasn't tracking the other variables, and I'm not going to reconstruct a tidy story from memory.
What I can tell you precisely is what I built, what I saw in the data, and what I got wrong. That's the part you can actually use.
Reading Mailchimp One Subscriber at a Time
Most people read email reports at the aggregate level: open rate, click rate, unsubscribes. Those numbers tell you how a campaign did. They tell you nothing about any individual person.
Mailchimp will show you per-subscriber activity — who opened, who clicked, how many times each. I got in the habit of scrolling that list after every send, looking for outliers instead of averages.
Two patterns kept showing up:
- High opens, no clicks. Someone reading it over and over without ever going to the page.
- High opens, high clicks, no purchase. Someone who went to the sales page repeatedly and left every time.
The second one is the more painful of the two, and the more useful. That person has done all the work. They've read the copy, seen the price, imagined themselves in the course. They're stuck on one specific thing, and it's a thing you could probably answer in ninety seconds if you knew what it was.
So we stopped trying to answer it with email. I pulled the names of those subscribers and handed them to the sales team.
I want to be accurate about my role here: I didn't make those calls. I found the pattern, built the list, and passed it over. What came back from the sales team is what taught me the actual lesson.
What the Hesitation Actually Was
I'd assumed the hesitation was about persuasion — that they weren't convinced the course was good. I was wrong on both counts of what came back.
The first objection was about outcome, not quality. Over and over: if I spend this much on your certification, does it actually lead to work — or am I buying a certificate? Not "is this course good." They believed it was good. They didn't believe it would change anything. No amount of better email copy addresses that, because it isn't a claim about the product, it's a fear about themselves.
The second objection was money — and it wasn't the price. It was cash flow. People who wanted the course and could afford it over a year could not afford it in one payment.
We already offered financing: 3-month and 12-month interest-free installments through partner companies. So on paper, solved.
It wasn't solved. People were applying, going through the credit check, and getting rejected. From inside our dashboard that looks identical to someone losing interest — they clicked through to checkout and didn't complete. Same data, completely different problem.
So we went back to the financing partners and worked on the approval side: getting the acceptance rate up so that more of the people who wanted the 12-month plan could actually be given it. That is a phone call with a lender, not a marketing task, and it moved more revenue than any subject line I wrote.
Here's the uncomfortable conclusion: a chunk of what I had been reading as "hesitant leads who need better nurturing" were people who had already decided yes and had been declined by a bank. I spent weeks optimising subject lines for a problem that lived in the lender's approval criteria.
That's why I'm careful now about calling email the cause of the revenue growth. The financing work happened in the same period. I genuinely don't know how to split the credit, and anyone who tells you they can split it cleanly on their own campaign is guessing.
The Actual Build
No secret tooling. The chain was:
- Canva — design the banners and graphic blocks.
- Beefree — assemble the email. It's a drag-and-drop builder that works like Elementor: you lay out sections, drop in the Canva graphics, add headings and body copy.
- Export to HTML — Beefree gives you the raw HTML.
- Paste into Mailchimp as an HTML campaign and send.
That last step is the one people skip. Mailchimp's own template editor is fine and it makes emails that look like Mailchimp emails. Building outside it and pasting HTML in gives you full control over layout and rhythm — which matters when you're selling a four-figure certification to an audience whose whole industry runs on how things look.
Cost, honestly: an email done properly took two to three days. That's graphics, layout, body copy, and iterating on subject line and preview text. Anybody quoting you an hour per email is either reusing a template or not testing the subject line.
The Three-Week Teachers' Day Sequence
Five campaign emails went out over that period: a three-part Teachers' Day sequence, plus a Halloween promotion and an Easter promotion. Each one carried promotional pricing on selected courses.
The Teachers' Day one was the sequence I'd point to, because it was designed to arrive somewhere rather than repeat itself:
- Week 1 — the classroom. Design that felt like a high-end teaching space. Surfaced the core online programs and planted the event.
- Week 2 — the instructors. Narrative shifted to the people teaching, foregrounding the hands-on training packages.
- Week 3 — graduation. Instructors standing with their alumni. That's the actual promise of a teaching business: the student's outcome, not the syllabus. The top-tier programs went out here.
The point wasn't the artwork. It's that each email only fully landed if you'd seen the one before, which gives somebody a reason to open the next one. Three interchangeable emails are just one email sent three times.
What I Got Wrong
I over-invested in image quality.
The emails looked excellent on my screen. On a phone, on a bad connection, they were slow — and a promotional email that hasn't finished loading is a promotional email nobody read. Beautiful and impractical is a real failure mode in email, and it's an easy one to walk into when your audience is an aesthetics industry and you're trying to match their visual standard.
We moved to compressed images and GIFs, and rebalanced toward more text and less image weight. The emails got less impressive and more effective.
The general version: email is not the web. Your rendering environment is a hostile, ten-year-old, offline-half-the-time client on a phone. Design for that, then make it as pretty as the budget allows.
The Bottom Line
Three things I'd take from this:
- Read your email reports at the subscriber level, not the campaign level. Aggregate open rate hides the individual people who are one conversation away from buying.
- Repeated opens without a purchase is a sales problem, not a marketing one. Stop writing. Get a human on it.
- Before you optimise the funnel, check whether the blocker is downstream of it. A declined credit application and a bored reader produce the same row in your email dashboard. If you sell anything financed, go look at the approval rate before you rewrite a single subject line.
If your traffic isn't turning into predictable revenue, I'd start by finding out which of those three you're actually dealing with.