The Best Time to Send a Newsletter (And Why the Data Disagrees)

The published answer is a weekday morning in your subscriber's local time, somewhere between 8 a.m. and 11 a.m. If that is all you needed, you can stop reading and go schedule it.

The more useful answer is that send time is one of the most researched and least valuable questions in email, and the published data proves it in a way almost nobody points out. Three major providers have each analyzed their own customer data and arrived at three different answers. The disagreement between them is larger than the gap any one of them found between a good hour and a bad one.

That is the finding. Not the hour.

The short answer

• Default to Tuesday through Thursday, in your reader's local morning. This is where the published research loosely converges.
• Expect a small effect. beehiiv's two best hours sit less than a point apart.
• Score on clicks, not opens. Open rate now includes activity no human performed, which quietly corrupts studies built on it.
• Spend the effort on subject line and cadence. Both have more room to move than the clock does.

What the providers actually report

Each row below is a platform measuring its own customers.

Source	Best day	Best time	Reported figures
Kit	Tuesday	Around 10 a.m. subscriber local time, with secondary peaks near 8 a.m., 2 p.m., and 5 p.m.	44% average creator open rate and 3.7% CTR in its 2024 creator benchmark
MailerLite	Thursday	9 a.m., with a strong 7 a.m. to 11 a.m. band	Thursday 9 a.m. reported near 49.6% open rate
beehiiv	Tuesday through Thursday	12:00 UTC and 11:00 UTC, roughly 8 a.m. and 7 a.m. Eastern	42.87% and 42.06% at those hours, against a platform open rate above 41%, from 28 billion emails

Read the table twice. The interesting part is not any single row.

The disagreement is the finding

Kit says Tuesday at 10 a.m. MailerLite says Thursday at 9 a.m. beehiiv says Tuesday through Thursday, early Eastern morning.

These are not sloppy studies. beehiiv's runs across 28 billion emails, which is a serious corpus by any standard. They disagree because each is a portrait of a different customer base.

A provider's send-time chart answers this question: among the people who pay us, sending when they chose, to the audiences they happen to have, which hour produced the best average? That describes a customer list. It is not a property of email, and it does not transfer to you unless your audience resembles their aggregate audience, which you have no way to verify.

Notice too that the reported open rates run from beehiiv's 41% to MailerLite's 49.6%. That gap of more than eight points between platforms is many times larger than any timing gap inside a platform. It is also not a fair comparison, because audiences, list quality, industries, and measurement all differ.

Which is precisely the point. The measurement environment varies more than the thing being measured.

Even the same company disagrees with itself

Kit's benchmark reports a 44% average creator open rate. Kit's own subject line guidance calls 20% to 30% solid, 30% and above strong, and anything under 20% worth investigating.

Both pages are live. Both are honest. They describe different slices: an average pulled across a customer base, and practical advice calibrated to what a typical creator actually sees. A reader who anchors on 44% and lands at 28% concludes something is broken, when Kit's own guidance calls that a good result.

If a single provider's numbers can be read two ways depending on which page you open, treat the cross-provider comparison with even more caution.

The denominator problem underneath all of it

There is a deeper issue that undercuts more of this literature than sample size does.

Apple Mail Privacy Protection pre-fetches images for users who enable it. That pre-fetch fires the tracking pixel. Your provider records an open. No person read anything.

Every study above rests primarily on open rate, so each carries a layer of machine activity arriving on its own schedule rather than your reader's. If a meaningful share of your list uses Apple Mail, some portion of your "best hour" describes when Apple's infrastructure fetched an image.

You do not have to take our word for it. Kit's KPI guidance tells creators to judge on clicks and replies rather than opens, specifically because privacy features made opens less precise. Coverage of beehiiv's data carries the same warning: compare click-through and click-to-open, not just opens.

The companies publishing the send-time studies are telling you not to trust the metric the send-time studies are built on.

This is why we treat opens as a weak signal in delivered vs sent vs opened, and why high opens with low clicks is such a common and misleading pattern. A click requires a person to decide something. An open increasingly does not.

What actually moves the number

Ranked by how much room each has to move:

Subject line. The largest controllable variable in whether an email gets attention. Real variance, cheap to test, legible results.

Cadence and consistency. A reader who knows your newsletter lands Tuesday morning starts expecting it. That expectation changes behavior, rather than nudging an average.

List quality and how people arrived. A list of readers who wanted your specific work outperforms a larger list assembled from giveaways, at every hour of every day. This is why where subscribers come from matters more than when you send to them.

Deliverability and sender reputation. Reaching the inbox at 3 p.m. beats reaching the promotions tab at the perfect hour.

Time zone handling. Every recommendation above is stated in the recipient's local morning. Sending one fixed moment to a global list means you never ran the test you think you ran. MailerLite documents time zone delivery, and most providers offer an equivalent.

Send time itself. Real, small, and worth setting once with a sensible default.

What to do on Monday

Pick Tuesday or Wednesday, in your audience's local morning. Turn on time zone delivery if your list spans regions. Leave send time optimization on, preferring a click-based setting where offered. Then stop thinking about it.

Redirect that attention to two questions with larger answers: what makes someone open this specific newsletter, and what happens after they do. The second one ends up in your revenue, and no send-time chart can reach it.

Where the honest limit sits

We are not going to publish our own send-time study from our own aggregate data and call it the answer, because it would carry the same defect as the ones above. It would describe our users, on their lists, at the moments they chose. Naming a winner from that would be an act of confidence rather than measurement.

What deserves measuring is not which hour produced the most opens. It is which sends produced readers who came back, clicked, and eventually bought something. That question needs your publishing, your newsletter, and your offers sitting beside each other, which is a harder setup than a timing chart and a far more useful one.

Schedulers stop at the post. Newsletter platforms start at the inbox. The send time debate lives entirely inside the second box, which is why it has been studied so thoroughly and changed so little.