Essential email automations: the five flows to set up first
The five automated flows to start with: welcome, abandoned cart, post-purchase, win-back and birthday emails.
Length, preheaders, spam filters and testing, with good and bad examples and the effect of Apple Mail Privacy Protection on opens.
The best email subject lines are clear, specific and honest about what is inside, with the key words near the start so they survive truncation on a phone. Open rate also depends on your sender name, your list and inbox placement. Because Apple Mail Privacy Protection inflates opens, judge subject lines by clicks and results, not by open rate alone.
A subject line, together with the sender name, is usually all a recipient reads before deciding whether to open. It has one job: to help a busy person decide quickly whether the message is worth their time. That is a filtering task, not a creative-writing contest, and the subject lines that work tend to answer the silent question “what do I get if I open this?”.
A few principles hold across industries:
The subject does not work alone. Who sends the message, when it arrives and what history you have with the reader all matter. A brilliant line sent to people who barely know you cannot make up for missing trust, which is why building your list properly usually moves results more than any headline formula.
There is no magic number. Email apps show different amounts of text depending on device, screen width and user settings. As a rough guide, a phone often displays somewhere around 30 to 50 characters of the subject, sometimes fewer, and a desktop client shows more. Longer lines are not forbidden, but the important part has to come first.
Practical rules:
Our free email subject line tester shows how your subject and preheader may look in a few typical inboxes and flags risky wording before you send.
The preheader is the short snippet shown beside or beneath the subject in the inbox. If you do not set one, the app pulls the first words of the email, which are often useless: “View this email in your browser” or navigation links. A deliberate preheader extends the subject instead of repeating it.
A simple model: the subject makes the promise, the preheader adds the detail. For example, subject “Three mistakes in e-invoicing”, preheader “And how to avoid them in under ten minutes”. Keep it to roughly 80 to 100 characters and check how it truncates in the apps your readers use.
Do not pad the preheader with invisible characters just to push out default text. It can look odd, and in some inboxes it may attract the attention of filters.
The examples below are hypothetical. They are not real campaigns and they do not promise any specific result; they simply show the difference in approach.
| Weak | Stronger | Why it works better |
|---|---|---|
| July newsletter | July update: three new products and one deadline to note | Promises concrete content rather than a label. |
| BIG SALE!!! DON’T MISS OUT!!! | Winter boots: last 48 hours of the reduced price | No capitals or exclamation marks; says what and until when. |
| An important message for you | Your Monday 10:00 appointment is confirmed | Specific and useful, not vague. |
| Buy now | We kept the two items you chose yesterday | Tied to real behaviour, without heavy pressure. |
| Re: invoice | Accounting: which documents to submit by the 25th | Does not pretend to be a reply; the promise is honest. |
Look at the pattern. The stronger versions contain a concrete noun, a date or a number instead of a superlative. Not every line needs to be witty either. For a transactional message or a notification, the best subject is the most predictable one.
Many people believe certain words, such as “free” or “discount”, send a message straight to spam. In practice, modern filters weigh many signals, and the words in the subject are only one of them. These usually matter more:
For the subject itself, a few common-sense rules remain: text in all capitals, strings of exclamation marks, impossible promises, fake prefixes such as “Re:” or “Fwd:”, and wording that hides the commercial nature of the message.
Informational note: commercial email is regulated (consent, information duties, the right to unsubscribe). This text is not legal advice. Check your situation with a lawyer or your data protection officer.
Since 2021 and iOS 15, Apple Mail Privacy Protection can preload the images in an email, including the invisible tracking pixel most platforms use to count opens. As a result, for some Apple Mail users a message shows up as “opened” even if nobody read it, and details such as the time or location of the open are no longer reliable. How much this affects you depends on how many of your subscribers use Apple Mail, which your email platform can usually tell you.
In practice this means:
The answer is not to abandon open rate but to treat it as a trend line and lean more on clicks, replies, conversions and revenue per email sent. The same thinking applies to the flows described in our guide to essential email automations.
If your list has only a few hundred subscribers, a classic A/B test will not produce reliable differences. Compare results across several sends instead and learn from the trend rather than from small gaps.
A first name in the subject can lift attention, but it carries risks: names in capitals or lower case, missing names, nicknames that do not suit the tone. Set a fallback (such as “Hello!” when the first name is blank) and check the data before sending. Behaviour-based personalisation, such as referring to an item left in a basket, usually works better than just inserting a name.
Emoji can help a message stand out in a crowded inbox, but overuse looks like spam and rendering varies between apps. One, placed with purpose, is normally enough, and for a B2B audience it is often safer to skip them. If you write in a language with accents, keep them in the subject: current apps display them correctly, and leaving them out looks careless.
Open rate: the percentage of recipients for whom an open was recorded, usually via a tracking pixel. Click rate: the percentage who clicked a link. Preheader: the preview text shown next to the subject. Deliverability: the likelihood that a message lands in the inbox rather than spam or promotions. SPF, DKIM, DMARC: methods of authenticating the sender’s domain. A/B test: comparing two versions on random groups. More terms like these are in our marketing glossary.
When we take over email campaigns, we check the foundations first: domain authentication, list hygiene and segments. Only then do we work on subject lines. For each send we draft two or three options tied to the goal (click, booking, sale), test them where the list size allows and keep a record of results. We judge by clicks and conversions, not by opens alone, and we never promise a particular open rate, since it depends on the list, the offer and the season.
If you want help with the plan, the technical setup and the automations, see our page on email marketing and automation.
As a rough guide, 30 to 50 characters so it reads well on a phone, though no universal limit exists. What matters more is that the key information comes first. Longer lines are fine if the rest is only supporting detail. Always test on a real device, because apps truncate differently.
Not automatically. Filters consider sender reputation, domain authentication, recipient behaviour and list quality, and the words in the subject are one signal among many. Avoid excesses such as capitals, repeated exclamation marks and false promises, but do not be afraid of an ordinary word used honestly.
Sometimes, if they are few and meaningful. An emoji can help a message stand out in a busy inbox, but too many look like spam and appearance differs between apps. Test on your own segment and judge by clicks, not just opens. For business audiences, leaving them out is usually safer.
It can record an email as opened even if it was not read, because it preloads images, including the tracking pixel. That inflates open rate and makes it less precise, especially if many subscribers use Apple Mail. It is therefore safer to base decisions on clicks and conversions.
There is no single figure. It varies with list type, industry, segment and, since Apple’s change, with how opens are measured. Compare yourself with your own history on similar campaigns, and watch the trend alongside clicks and conversions. An average quoted in an article says little about your own list.
Decide the metric beforehand, preferably clicks or conversions rather than opens. Send the versions to comparable random groups, let the test run long enough and change nothing else at the same time. If the gap is small or your list is small, treat the result as a hint rather than a rule.
Laborator
Lab tools that help you put this guide into practice.
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The five automated flows to start with: welcome, abandoned cart, post-purchase, win-back and birthday emails.
Valid consent, double opt-in, lead magnets and list cleaning: a practical guide to a subscriber base you can actually use.
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