The Best Time to Send a Newsletter

"When should I send my newsletter?" is the most common question in every email-marketing workshop — and at the same time the one with the most boring default answer: "Tuesday 10 am". That answer is true on industry average. It is almost never true for your specific list. This post shows what the data actually says, how to find the right time for YOUR subscribers, and which automations take the work off your plate in 2026.

The DACH industry average

From aggregated data on over 2 million newsletter sends (Mailaura analysis 2025–2026), open rates by send time look like this:

Consensus: Tuesday and Thursday, 10–11 am or 2–4 pm. This average is why everyone sends at the same time — and exactly why it is often not your best solution.

Why the average is not your answer

Three factors shift the optimal time:

1. Audience context

• 9-to-5 office work: standard pattern (Tue/Thu morning).
• Trades, hospitality, retail: often much better results early morning (6–8 am) or evening (7–9 pm).
• B2B decision makers: Tuesday 7:30 am (before the first meetings) often performs exceptionally.
• B2C creative audience: Sunday evening ("weekly review" habit) is surprisingly strong.

2. Timezone

A Vienna–Frankfurt–Zurich sender hits all subscribers at the same wall-clock time. Once you have international subscribers, per-timezone send becomes a lever.

3. Inbox competition

Tuesday 9:00 am is crowded. If your audience sees 40 unread newsletters there, you disappear. 8:15 am can land you at position 3 in the inbox — visible, clicked.

How to find your personally best time

Method 1: evaluate historic data

Take the last 10–20 campaigns and lay them out by weekday/hour. Mailaura shows this directly in the dashboard as a heatmap. Three observations help:

• Peak slots (rows with open rate > 125 % of your average).
• Negative patterns avoided (slots with clearly lower opens).
• Reproducibility: was the good Tuesday a coincidence or a pattern?

Method 2: structured A/B test

If you have little data yet: split the list into two random halves, send campaign A Tuesday 10 am and campaign B Thursday 2 pm. Repeat after 4 weeks, pick the peak slot for the next testing round.

Method 3: send-time optimisation via AI

Modern tools (Mailaura from 2026, Brevo, ActiveCampaign) use AI to pick per-subscriber the time that individual is most likely to open. The basis is the open-time history per contact across many campaigns. Result: up to 25 % higher open rates with identical content.

Requirement: at least 10 prior campaigns to the same list so the model can learn.

Frequency vs. timing

Often it is not the time that is the problem, it is the frequency:

• Less than 1× per month: your list forgets you. Unsubscribes rise.
• 1–4× per month: common optimal corridor for most newsletters.
• Daily: only sensible in daily-news formats, otherwise unsubscribe poison.
• Irregular: worst option. Consistency beats perfection.

Account for seasonality

Three windows where the rules change:

• Holidays (Christmas, Easter, vacation periods): open rates often higher because of inbox competition drop. But click rates lower (buying decisions postponed).
• Black Friday / Cyber Week: heavy competition, extreme time sensitivity. Test 6 am, 9 am, 12 pm, 7 pm, 10 pm explicitly.
• Summer holidays: B2B lists go flat (40 % out-of-office). Reduce frequency.

Concrete Mailaura example

A DACH travel provider had sent at Tuesday 10 am for two years (24 % average open rate). We tested:

1. Tuesday 7:45 am: 28 % open rate (+4 pts)
2. Saturday 8:00 am: 32 % open rate (+8 pts)
3. Saturday 8:00 am + send-time optimisation: 36 % (+12 pts)

Insight: the target audience (travel planners) opens dramatically better on weekends — against industry norm. Only testing revealed the truth.

The best time for automations

Fixed send times make sense for broadcasts. For automations (welcome, re-engagement, reminders) the rule is: relative to trigger. Examples:

• Welcome email 1 minute after double opt-in — otherwise open rate drops by 40 %.
• Cart abandonment email after 45 minutes, again after 24 h, then after 72 h.
• Re-engagement after 90 days of inactivity, then again after 120 days.

Never absolute times in automations — the effect always depends on the customer context, not the calendar.

Edge case: international lists

As soon as > 10 % of your recipients are international, timezone-send (aka follow-the-sun) pays off. Every contact gets the email at their local optimal time. Modern tools replace complex multi-list strategies with this.

What NOT to test

• Midnight "because nobody else sends": filter algorithms often flag off-hours sends as suspicious.
• 3 am: same issue. The inbox is empty but your score is not.
• Friday evenings to B2B lists: below 15 % opens, almost no clicks. Saves send capacity for real windows.

Checklist for your next 30 days

• Review historic data from your last 20 campaigns.
• Run at least one A/B test with a different send time.
• Try one atypical day (Saturday, Sunday).
• Enable send-time optimisation if available.
• Document results after 30 days.
• Set the winner as new default — until the next test round.

Conclusion

There is no universally best send time for newsletters. There is only the best time for your list, and you only find it by measuring. Start with Tuesday and Thursday mornings, but stay open to outliers — they often bring the biggest wins. With Mailaura, heatmap analysis and send-time optimisation sit directly in the dashboard. How to turn this into KPIs, see Newsletter KPIs.