Newsletter Send Time Recommender
Personalised send-time recommendations based on your audience type, geography, and industry. Built from aggregate engagement data across 12M+ newsletter sends.
Find Your Best Send Time
Based on aggregate engagement data across 12M+ newsletter sends.
About This Tool
There's no single 'best' time to send a newsletter — the right answer depends on who you're sending to. This tool gives you a personalised recommendation based on your audience type, industry, and geography, with confidence intervals and rationale.
What it does
- Recommends optimal day-of-week and hour for your audience segment
- Shows engagement lift vs. generic 'Tuesday 10am' default
- Provides alternate good windows for A/B testing
- Explains the reasoning so you can iterate with your own data
How to Use
Pick your audience type
B2B professionals, consumers, creators, students, international audiences — each behaves differently.
Select geography
North America, Europe, Asia-Pacific, or global. Time zones matter — what's 10am EST for you is 7am PT for half your US list.
Choose your industry (optional)
Industry-specific send times work better for niche audiences — e.g., finance at 7am EST, retail on Sunday afternoons.
Get your recommendation
A primary send time, 2-3 alternates for A/B testing, and the engagement-lift estimate vs. defaults.
Methodology
Recommendations derive from aggregate open-rate and CTR data across 12M+ newsletter sends in 2024-2026, segmented by audience type, geography, and industry. Confidence intervals reflect sample sizes; niche segments with fewer data points are marked 'low confidence'.
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Frequently Asked Questions
Should I trust this over my own data?
No — your own data always wins. This tool is for when you're just starting out, entering a new audience segment, or sanity-checking your defaults.
Does send time matter more than content?
No. Great content sent at a mediocre time beats mediocre content at the perfect time. But if you're already sending great content, optimising send time is a 5-20% easy win.
What about time zones across a global list?
For global lists, segment by timezone and send in waves. Aldus's scheduler handles this automatically — set 'send at 10am local time' and it fires the right way for each subscriber.