"What is the best time to send email marketing?" is one of the most searched questions in the field, and almost every answer on the internet is a table of days and hours drawn from somebody else's data. We do not publish such a table, for a reason: the best time depends on who your readers are, what you send and where they live, and averages across thousands of unrelated senders say very little about your list. This guide explains what actually influences send timing, gives sensible starting hypotheses for different kinds of audiences, shows how to run a proper send-time test, explains why open data has become harder to trust and covers when timing matters less than you think.
Why a universal best time does not exist
Studies of send times tend to disagree with one another, and the reasons are structural.
- Different audiences. People who read a newsletter on a commute behave differently from office workers who check a work inbox at their desk, and both differ from shoppers who browse in the evening.
- Different time zones. A send at 10:00 in one city arrives in the middle of the night somewhere else. A single global average blends all of this together.
- Different content. A flash sale, a weekly digest and an account alert have different ideal moments.
- Different measurement. Many studies measure opens, and opens are no longer reliable. See email open rate for the reasons.
- Crowding. If everyone follows the same published advice, the popular slots fill up with competing mail and the advantage disappears.
The honest conclusion is that published figures are a place to start and not an answer. Your own data is the answer.
What does affect the best send time?
When your readers are free to read
Think about the daily routine of the people on your list. Business-to-business audiences often read mail on working days, around the start of the day, after lunch or just before they finish. Consumers may read in the evening, at weekends or during leisure time. These are reasonable starting guesses, not facts. Test them.
Time zones
If your list spans regions, decide whether to send at a fixed moment for everyone, in batches by region or at the same local time for each recipient. Many sending platforms can schedule by recipient time zone. If yours cannot, group subscribers by country and send in waves.
The type of message
- Time-sensitive messages such as a sale ending today should arrive early enough to act on.
- Regular newsletters benefit from consistency. Readers who learn that your message arrives on Thursday morning start to expect it.
- Transactional messages such as receipts, password resets and alerts must be sent immediately, not at a chosen hour. See password reset email best practices.
- Welcome messages work best soon after sign-up, when interest is highest. See welcome email examples.
Inbox competition
Mondays are often crowded with messages that built up over the weekend, and the start of a month is busy with billing and reports. Avoiding the busiest moments is a hypothesis worth testing, not a rule.
Deliverability and volume
Sending a very large campaign in one burst can slow delivery and trigger throttling at some providers. If you send to a large list, spread the send over a period, and warm up new sending IPs gradually. Timing for the reader and timing for the server are separate questions.
How to find your best send time: a test plan
- Pick one variable. Test day, or test hour, but not both at once.
- Choose a goal. Use clicks, replies, conversions or revenue per recipient. Do not use opens alone.
- Split your list randomly into equal groups. Each group gets the same message, with the same subject line, at a different time. Random groups keep the comparison fair.
- Use enough recipients. Small groups produce noisy results. If your list is small, run the test over several sends and combine the results.
- Keep everything else the same. Same content, same sender name, same offer.
- Run the test more than once. One result can be luck, a holiday or a news event. Repeat before you change your schedule.
- Record the result and apply it to a segment. The winner for one audience may not hold for another.
- Retest now and then. Habits shift over time and across seasons.
Most sending platforms report click and conversion data per campaign, and email analytics lets you compare tests side by side.
Why opens mislead send-time tests
Many mail apps now download images in advance, whether or not the person reads the message, and security tools open messages and links. The recorded time of an open can then be the time the message arrived at the provider and not the time a person looked at it. A test that picks the hour with the most opens may be picking the hour with the most automated activity. Clicks are less affected, and replies and purchases are best.
Send-time optimisation features
Some platforms offer a feature that chooses the send time per recipient, based on when each person has engaged in the past. This can help if you have a large list with a lot of history. Check what it measures, and remember the problem with machine opens. For small lists or new subscribers, there is not enough data, and a sensible fixed time is as good.
Frequency and consistency matter too
When you send is only one part of the picture. How often you send, and whether you keep a steady pattern, may matter as much.
- Be predictable. A regular day and time builds a habit.
- Avoid sudden bursts. A sender who is quiet for months and then mails a big list suddenly often gets more complaints and more spam filtering. See email reputation.
- Tell people what to expect when they sign up, including the frequency.
- Let readers choose. A preference page with weekly and monthly options reduces unsubscribes and complaints.
Starting hypotheses by audience
| Audience | Hypothesis to test |
|---|---|
| Office workers (B2B) | Working days, at a time that suits their start of day or a mid-day break |
| Consumers shopping online | Evenings and weekends, close to when they browse |
| Readers of a long newsletter | A time when they have a few minutes, such as a morning or weekend |
| Event or webinar invitations | Early enough to plan, with a reminder close to the event |
| Global audiences | Local-time delivery or regional waves |
These are guesses about behaviour, offered to give you a first experiment. They are not measurements.
Common mistakes
- Copying a "best time" infographic without testing it on your list.
- Judging a test by opens.
- Changing the subject line and the time in the same test.
- Running one test and treating it as final.
- Ignoring time zones.
- Sending late because a campaign was not ready, rather than moving it to the next good slot.
Compare send times with real click data Track clicks, bounces and replies per campaign, so your tests measure people and not machines.
References and further reading
Frequently asked questions
What is the best time to send email marketing?
There is no universal answer. It depends on your audience, time zones and content. Use a reasonable hypothesis, test it on your own list with clicks or conversions and repeat the test.
What is the best day to send email marketing?
It varies by audience. Business readers may favour working days and consumers evenings or weekends, but treat these as hypotheses to test, not facts.
How do I test the best send time?
Split your list randomly into equal groups, send the same message at different times, measure clicks or conversions, keep everything else constant and repeat the test.
Are open rates a good way to judge send time?
Not on their own. Mail privacy features and security scanners create machine opens, so clicks, replies and conversions are more reliable.
Should I send in each recipient's time zone?
If your list spans regions it is often worth it. Use your platform's local-time scheduling, or send in regional waves.