Welcome Email Sequence: 5 Emails That Convert
Almost every article on welcome emails opens with a spectacular statistic and never says where it came from. That is the problem worth fixing first, because the two most-quoted welcome-email open rates differ by a factor of two — and if you build a business case on the wrong one, you will be disappointed. So here are the actual sources, what separates them, and then the five emails that do the work.
What the benchmark data actually says
Two datasets dominate this topic. They measure different senders in different years, which is exactly why their numbers look incompatible.
| Metric (welcome email) | Omnisend — 2025 data | GetResponse — 2023 data |
|---|---|---|
| Open rate | 35.53 % | 83.63 % |
| Click-through rate | 3.94 % | 16.60 % |
| Click-to-open rate | 11.19 % | 19.85 % |
| Unsubscribe rate | 0.87 % | 0.94 % |
| Conversion rate | 2.11 % | not reported |
| Revenue per email | $6.16 | not reported |
| Sample | 20bn+ emails, 27,000+ brands, e-commerce | 4.4bn messages, senders with 500+ contacts, cross-industry |
Neither is wrong. Omnisend's figures come from e-commerce brands and are the more conservative planning basis; GetResponse's come from a broader mix of senders and an older year. If you sell products, use the Omnisend column. If you run a newsletter or a service business, treat both as outer bounds rather than a target.
Why the two open rates differ by a factor of two
Part of the gap is methodology, and part of it is a measurement artefact that affects every email report you will ever read. Since Apple introduced Mail Privacy Protection with iOS 15 in September 2021, Apple Mail routes message content through its own proxy and preloads images on delivery — including the invisible tracking pixel that email tools use to count an open. The recipient does not have to look at anything. The pixel fires anyway.
Three consequences worth internalising:
- Open rates are inflated, and by an amount that depends on how many of your subscribers use Apple Mail — which you cannot see, and which differs per list.
- Everything derived from opens is inflated too, including click-to-open rate. That is why CTOR is no longer the diagnostic it once was.
- Clicks, bounces, conversions and revenue are unaffected. MPP does not click links. Those metrics stayed honest.
Practical rule: use opens only to compare your own campaigns against each other over a short period, and judge the sequence itself on clicks and conversions. If someone quotes an 80-plus-percent open rate at you as proof a tactic works, they are quoting a number that partly counts machines.
The five emails, and what each one is for
There is no benchmarked "correct" number of emails — anyone who tells you five is scientifically optimal is guessing. What holds up is the logic: attention is at its peak the moment someone signs up and decays from there, so deliver the promise first and ask for money last.
| # | When | Its one job | What to leave out |
|---|---|---|---|
| 1 | Immediately on signup | Deliver what was promised — the download, the access, the first tip. Nothing else. | Your company history, a pitch, three CTAs |
| 2 | Day 1–2 | Prove you are worth reading: one genuinely useful piece of content, no ask. | Discount codes this early |
| 3 | Day 3–4 | Say who you are and who you are not for. Positioning filters the list for you. | Superlatives you cannot back up |
| 4 | Day 5–7 | Show the result someone else got — a case, a before/after, a concrete number. | Testimonials without specifics |
| 5 | Day 8–10 | The offer, with a reason to act now that is actually true. | Fake scarcity and countdown theatre |
Two rules matter more than the schedule. First: one goal per email, one primary link. A message with four competing calls to action performs like a message with none. Second: send the first one immediately. Every hour of delay is spent by a subscriber who is losing the context they had when they typed their address.
The first email decides the rest
It is the only email in the series you can be reasonably sure will be seen. Three things to get right in it:
- The promise, delivered above the fold. If they signed up for a checklist, the checklist link is the first thing in the message — not the third paragraph.
- A sender name and address a human would reply to. A no-reply address is a signal to both the subscriber and the mailbox provider that this is a broadcast, and it throws away the replies that help your reputation.
- One sentence saying what comes next and how often. It sets expectations and measurably reduces the "who are you?" unsubscribes in email two and three.
If your first email does not land in the inbox, none of the rest matters. The mechanics — authentication, warm-up, list hygiene — are in our deliverability guide.
In the EU: the confirmation email is not the welcome email
This trips up a lot of otherwise well-built sequences. Under a double opt-in, the confirmation message exists for one purpose: to confirm the address. German courts have treated a confirmation email carrying advertising as unsolicited advertising in its own right, so keep it to one sentence and one button. Your welcome sequence starts after the confirmation click, and should be triggered by that click — not by the form submission. The full picture, including what you have to be able to prove years later, is in our GDPR checklist.
Which tools can actually do this
The feature you need has an unglamorous name: an automation that triggers on confirmed signup, with time delays and, ideally, a branch based on whether someone clicked. Every serious tool has it; the difference is how much work it is to build and what it costs at your list size.
- MailerLite* — the easiest starting point, with a genuinely usable free tier and a visual automation builder that does not need a manual.
- GetResponse* — the deepest automation of the group once your sequence needs branches and conditions, plus webinars in the same account.
- KlickTipp* — tag-based rather than list-based, which pays off when someone belongs in several sequences at once.
- Systeme.io* — list, landing page and funnel in one, for a zero budget.
Which one fits depends on your list size and whether you also need pages and checkout. Our comparison of the five tools goes through the pricing tiers, and if you are new to automation itself, start with the beginner's guide. Still filling the list? The lead magnet ideas come first — a welcome sequence with nobody in it earns nothing.
The mistakes that cost the most
- Starting with the pitch. The offer in email one converts worse than the same offer in email five, and costs you the subscriber as well.
- A delay before the first message. Trigger on confirmation, send within seconds.
- Writing five emails and never opening the report again. Look at clicks per email — the one where clicks collapse is the one to rewrite.
- Dropping people into the regular newsletter mid-sequence. They get two messages the same day and read neither. Suppress campaign sends for contacts still in the flow.
- Judging the sequence on open rate. See above — that number counts Apple's proxy as a reader.
Conclusion
A welcome sequence is the highest-leverage automation you can build, and the data supports that without any exaggeration: in the conservative dataset it converts at roughly 2 % and returns $6.16 per email sent. Write five messages with one job each, trigger the first on the confirmation click, and measure clicks rather than opens. If you have not picked a tool yet, our free quiz gives you a recommendation in under a minute.
Frequently asked questions
How many emails should a welcome sequence have?
There is no benchmarked optimum. Five is a practical default because it gives each message a single job — deliver, prove, position, demonstrate, offer — without stretching past the window in which someone still remembers signing up. Three works if your offer is simple; more than seven usually means two sequences have been merged into one.
When should the first welcome email be sent?
Immediately, triggered by the double opt-in confirmation click rather than by the form submission. Attention is at its highest in that moment and falls away quickly, and in the EU the sequence should not begin before the address is confirmed anyway.
What is a good open rate for a welcome email?
It depends on the dataset, which is the honest answer: 35.53 % in Omnisend's 2025 e-commerce data, 83.63 % in GetResponse's 2023 cross-industry data. Both are inflated to an unknown degree by Apple Mail Privacy Protection, so use the click-through rate — 3.94 % and 16.60 % respectively — as the metric you actually steer by.
Why are my open rates suddenly so high?
Most likely Apple Mail Privacy Protection, introduced with iOS 15 in September 2021. Apple preloads images through its proxy when a message is delivered, which fires the tracking pixel whether or not anyone reads the email. Clicks, bounces and conversions are unaffected and remain trustworthy.
Can I put an offer in the welcome email?
You can, but in the EU not in the double opt-in confirmation message — German courts have treated a confirmation email carrying advertising as unsolicited advertising itself. In the welcome sequence proper, an offer is fine; it simply performs better once the sequence has delivered something useful first.
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