Email Send Time Optimizer
Find the best time to send emails based on your industry and audience type. Get data-backed recommendations for B2B SaaS, e-commerce, newsletters, and more with tips for each email type.
Find the best time to send emails based on your audience and industry
Newsletters build habits. Pick a consistent day and time and stick with it. Your subscribers will learn when to expect your content.
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Best Send Times for B2B SaaS
Peak productivity window after Monday catch-up. Decision-makers are reviewing tools.
Mid-week focus time. Good for product updates and feature announcements.
Post-lunch review period. Good for trial reminders and upgrade prompts.
Afternoon window when teams discuss tooling decisions.
Early morning inbox scan. Short, punchy emails perform well.
B2B SaaS Tips
- • Send onboarding emails immediately after signup (any time)
- • Dunning emails work best early morning (before 9 AM)
- • Product updates perform well mid-week
- • Avoid Mondays (inbox overload) and Fridays (planning mode)
- • Time zone matters - segment by user's local time
Times to Avoid
- • Monday morning (inbox overload from weekend)
- • Friday afternoon (low engagement, planning mode)
- • Weekends (unless triggered by user action)
- • Holiday periods (low B2B engagement)
Remember: your data beats benchmarks
These are industry averages based on research. Your specific audience may differ. Use these as a starting point, then A/B test different send times with your own list. Track open rates and click rates by send time to find your optimal window.
About this tool
The difference between the best and worst send times can be 20-30% in open rates—and that's before you account for downstream effects on clicks and conversions. But "Tuesday at 10 AM" isn't universally correct. The optimal time depends on your industry, audience type, email content, and even the action you want recipients to take. This tool gives you data-backed starting points, then you refine with your own data.
Send Time Data by Industry
B2B SaaS sees the strongest engagement Tuesday through Thursday, with 10 AM and 2 PM local time consistently outperforming other slots. The logic is simple: people check email when they arrive at work and after lunch. Monday mornings are crowded with weekend catchup, and Friday afternoons are mentally checked out. E-commerce performs well on Thursday mornings (payday anticipation) and surprisingly well on Sunday 10 AM-12 PM when people browse leisurely. Newsletters do best Tuesday-Wednesday at 9-10 AM, catching the morning routine. B2C services see strong engagement on weekends and weekday evenings (6-8 PM) when people are in personal mode.
Match Send Time to Email Type
The best time to send a product update isn't the same as the best time to send a promotional offer. Transactional-adjacent emails (onboarding, activation reminders) perform best during business hours when users are most likely to take action in your product. Promotional emails do better in the evening and weekends when people have time to browse and shop. Content and educational emails perform well early morning (7-8 AM) when people are reading during their commute or with coffee. Urgent emails (expiring deals, event reminders) should go out 2-4 hours before the deadline.
Why Timezone Matters More Than You Think
If your list spans the US alone, you're dealing with a 3-hour spread (ET to PT). An email sent at 10 AM Eastern hits West Coast subscribers at 7 AM—before many have started their day. For global lists, the gap is even wider. The fix is timezone-based sending, where each subscriber receives the email at 10 AM their local time. If your ESP doesn't support this, segment your list by timezone and stagger sends. The engagement improvement from timezone-aware sending is typically 10-15% in open rates.
From Recommendations to Your Own Data
These benchmarks are starting points, not gospel. Your audience is unique. Run a proper A/B test: split your list into equal segments and send the same email at different times over several weeks. Use our A/B test calculator to determine when you've reached statistical significance. Track results with the open rate calculator and CTR calculator. Once you've identified your optimal windows, use the frequency calculator to figure out how often to send.
Frequently Asked Questions
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