The Best Time to Send Marketing Emails in 2026

Every published answer to “when should I send my email” is built on a number that stopped meaning anything four years ago. The studies count opens. Since September 2021, Apple’s Mail Privacy Protection has been pre-fetching images for Apple Mail users in the background, which registers as an open whether or not a human ever looked at the message. Litmus put Apple Mail at roughly 58% of tracked opens in early 2026. That means most of the data behind the charts reflects when Apple’s proxy servers decided to fetch an image, not when your subscriber picked up their phone.

You can still find a good send time. You just cannot find it by reading someone else’s open-rate chart.

What the Big Studies Actually Say

MailerLite analysed more than 2 million campaigns sent from the US, UK, Australia and Canada between December 2024 and November 2025. Friday came out on top for opens at 49.72%, with Monday close behind at 49.44%. Friday also led on clicks at 8.09%, followed by Tuesday at 7.84%.

Look at the shape of that data rather than the headline. A 49.72% average open rate is not a plausible measure of human attention: the pre-2021 cross-industry average sat around 20–25%. The number roughly doubled without email getting twice as interesting. It doubled because machines started opening mail.

The more useful finding is buried lower: in MailerLite’s data, opens peak between 8 AM and 11 AM local time, while clicks peak between 8 PM and 9 PM. Those are twelve hours apart. If both metrics measured the same behaviour, they would move together. They do not, and the gap is the clearest evidence available that the open curve is measuring something other than readers.

Before You Start: Three Things You Need

A list large enough to produce signal. Click rates run low: 2% to 8% is normal. At a 3% click rate, a 1,000-person send produces about 30 clicks. That will not separate 10 AM from 6 PM. You want at least 5,000 recipients per test group before the difference between two send windows means anything.

Click tracking that survives your privacy settings. Some platforms let you disable link tracking entirely, and some readers strip tracking parameters. Confirm clicks are being recorded before you build a schedule on them.

Timezone data on your subscribers, or a decision to ignore timezones. Sending “at 10 AM” to a list spread across the US means four different local times. Either your platform localises delivery or your test is measuring geography instead of timing.

How to Find Your Real Send Window

1. Pull twelve months of campaign data and export it. You want send timestamp, recipients, unique clicks and (if you sell something) revenue attributed to the send. Ignore opens completely. Most platforms will export this as CSV from the campaign reports screen.

2. Group sends into time buckets, not exact hours. Four buckets works: early morning (6–9 AM), late morning (9 AM–12 PM), afternoon (12–5 PM) and evening (5–10 PM). Exact-hour analysis on a year of campaigns gives you two or three sends per hour, which is noise.

3. Calculate click rate per bucket, weighted by recipients. A campaign to 40,000 people and a campaign to 4,000 people should not count equally. Divide total clicks in the bucket by total recipients in the bucket.

4. Check whether the buckets differ by more than a few percent relative. If your best bucket is 3.4% and your worst is 3.2%, you do not have a send-time finding. You have rounding. Real send-time effects on click rate tend to show up as 20% or larger relative differences, a 3.0% bucket against a 3.7% bucket.

5. Control for content before you believe the result. If all your evening sends happened to be product launches and all your morning sends were newsletters, you measured content type. Split the analysis by campaign type and see whether the pattern holds in both.

6. Run a prospective split test on the two best buckets. Take the top two windows from your historical data and alternate between them for the next eight campaigns, randomising which half of the list gets which. Historical analysis generates the hypothesis. The split test is what confirms it.

7. Re-run the whole thing every six months. Reading habits shift, your list composition shifts, and the winning window from last year is not automatically this year’s.

Which Platforms Do the Timing For You

Per-subscriber send-time optimisation solves a different problem than the analysis above. Rather than picking one hour for everyone, these features stagger delivery so each subscriber receives the message at the hour they have historically engaged. They are worth using, with the caveat that most of them are also trained on open data, so they inherit the same distortion.

MailerLite offers the cheapest entry point of the mainstream tools. Its Smart sending feature sits on the paid tiers: renamed Comfort and Power in the June 2026 pricing restructure, with Comfort starting at $12/month, and is absent from the free plan, which caps out at 250 subscribers and 2,500 emails a month. The weakness is the cold start: the feature works from each subscriber’s engagement history, so a new account gets nothing useful from it until several campaigns have gone out.

Mailchimp puts Send Time Optimization on the Standard plan and above. Standard starts at $20/month at the 500-contact tier (verified on Mailchimp’s pricing page on 22 August 2026); Essentials at $13/month does not include it, and neither does the free plan, which is capped at 250 contacts and 500 sends a month. Mailchimp also bundles Delivery by Time Zone at the same tier, which is the more reliable of the two features because it does not depend on engagement prediction at all.

GetResponse splits the job into two named features. Perfect Timing delays each message by 0 to 23 hours to hit the subscriber’s historical engagement window, and Time Travel delivers at the same local clock time everywhere. Both require the Marketer plan (formerly labelled Marketing Automation) at $59/month for 1,000 contacts, which is a steep step up from the $19/month Starter tier if send timing is the only reason you are upgrading.

Klaviyo has the strictest requirements of the group. Smart Send Time needs at least 12,000 active profiles in the account and at least 12,000 recipients on the campaign, because it runs an actual randomised test across a 24-hour window rather than guessing from past behaviour. That methodology is the most defensible one here. It is also unavailable to the large majority of senders, and Klaviyo bills on total active profiles rather than contacts emailed, so reaching the threshold is expensive.

Brevo’s “Send at best time” runs on its Standard plan and above, not on Starter or the free tier. ActiveCampaign’s predictive sending works from each contact’s habitual open times, but it is unavailable on trial accounts and only applies to the Standard campaign type, worth checking against your actual setup before you count on it.

Mistakes That Waste the Whole Exercise

Treating a send-time win as permanent. A window that worked for six months can decay as your list grows and its composition changes. Nobody re-checks, and the schedule calcifies.

Testing send time and subject line in the same campaign. Two variables, one result, no way to attribute it. Send time tests need identical creative on both sides.

Copying a benchmark from a different audience. B2B SaaS lists and DTC ecommerce lists behave nothing alike, and neither behaves like a hobby newsletter. The Tuesday-10-AM advice comes overwhelmingly from B2B data. If you sell candles to consumers, it is not your data.

Optimising send time while deliverability is broken. If your messages are landing in Promotions or spam, the hour is irrelevant. Fix authentication first (our email deliverability guide covers SPF, DKIM and DMARC) then worry about timing.

Sending at the same hour as everyone in your category. The reason Tuesday 10 AM underperforms for many senders is that every marketer read the same article. Inbox competition at the recommended hour is fierce. An unfashionable slot with less crowding often beats the “optimal” one.

What a Good Result Looks Like

A successful send-time project does not produce a dramatic number. It produces a defensible one: a window where click rate runs 20–40% higher in relative terms than your worst window, confirmed across at least eight campaigns and two campaign types, holding steady when you re-check six months later.

If you are running ecommerce, watch revenue per recipient rather than click rate. Clicks and purchases peak at different hours for the same reason opens and clicks do: a browse at 9 AM and a purchase at 9 PM are different states of mind. Evening sends frequently lose the open-rate contest and win the revenue contest.

And if the analysis comes back flat (all four buckets within a couple of percent of each other) that is a real finding too. It means send time is not your constraint. Put the effort into segmentation instead; the tools rated highest for automation and segmentation will return more than an hour shifted on the calendar ever will.

The honest summary: send time is a second-order lever. It is worth a day of analysis once a year, not a standing agenda item. The senders who obsess over it are usually avoiding a harder conversation about what they are actually sending.

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Pricing verified 22 August 2026.

Sources

1. ActiveCampaign — How to use predictive sending to automate send times — accessed 2026-08-22
2. MailerLite — Best time to send email (analysis of 2 million+ campaigns) — accessed 2026-08-22
3. Klaviyo — Smart Send Time documentation — accessed 2026-08-22
4. EmailToolTester — Apple MPP and open-rate inflation — accessed 2026-08-22