Choose your audience timezone, newsletter type, and the day you want to send. This free tool suggests a best send-time window (in the audience’s local time), gives you a shareable 0–100 Send‑Time Score, and offers backups if you can’t hit the ideal slot. No signup. Works entirely in your browser.
This helper uses simple email behavior patterns (work hours vs evenings, weekday habits, and “attention windows”) to recommend a practical time. It’s not a guarantee — but it’s a smart starting point when you don’t have full ESP analytics yet.
“Best time to send a newsletter” is a famous question because it has two truths at once: (1) timing really does matter, and (2) there isn’t a universal magic hour. If your audience is global, you can’t pick a single clock time that’s perfect for everyone. If your audience is local but mixed (students + professionals + parents), the same time can perform very differently depending on the day and what you’re sending.
This tool solves the problem in a practical way: it produces a recommended send-time window in your audience’s local time, plus a backup window if you can’t send at the ideal moment. It also generates a Send‑Time Score (0–100) so you can quickly compare options (for example, “Tuesday 10:00 vs Thursday 15:00”) and screenshot the result for your creator friends.
The calculator uses a simple model: each combination of audience style (B2B vs consumer), email type (newsletter vs launch), and goal (opens vs clicks) has a few “attention windows” where readers are more likely to engage.
For example, B2B readers often scan email in the morning when planning their day, but clicks can rise later when they have time to read. Consumer audiences can be more active after work. Students may be more responsive in the late afternoon or evening. This tool converts those patterns into recommended windows like 09:00–11:00 or 18:00–20:00 (always in the audience’s local time).
The Send‑Time Score is a weighted score between 0 and 100. It is built from:
If you don’t pick a preferred send hour, the tool assumes you’ll send at the recommended window’s midpoint and gives you a score that reflects that choice.
A window is actionable, but a score is comparable. If you’re deciding between two options, a 12‑point difference is meaningful: it usually indicates you’re moving from “busy inbox moment” to “habit-friendly moment.” You can also use the score as a quick A/B testing plan: try one send at a score of ~85+ and another at ~65–75, then compare your metrics.
If you have real data in your ESP (Beehiiv, ConvertKit, Mailchimp, etc.), use this tool as a hypothesis generator: it gives you a smart default to test — it doesn’t replace your audience analytics.
It depends on your audience and the kind of newsletter you send. Many creators do well on Tuesday–Thursday because routines are stable, but consumer and entertainment newsletters can perform very well on weekends. Use this tool to pick a day, then keep it consistent for a few weeks to build a habit.
If your ESP supports “send in recipient timezone,” use it. Otherwise, use your primary audience timezone (the largest chunk of subscribers). This tool is built around audience local time so the recommendation stays meaningful.
Inbox competition is often higher later in the day. Also, people mentally “batch” email — they check at certain routine moments. Sending inside a routine moment can lift opens even if your content stays the same.
Pick your top region and start there. If your list is truly split, consider segmenting by timezone (or using recipient‑timezone sending). Another trick is to pick a “floating” time that is decent for multiple regions (for example, late morning US Eastern is afternoon UK and evening India).
No — timing raises the chance of being seen. Your subject line, content, offer, and audience trust drive the majority of results. Think of timing as removing friction: you’re placing your message where attention already exists.
Not too often. Consistency builds habit. A good pattern is: choose a time, send for 4–6 editions, then test a new time window for 2–3 editions and compare results.
Quick links from the Everyday category:
MaximCalculator provides simple, user-friendly tools. Double-check any important planning decisions using your email platform analytics and real-world tests.