Guides 10 min read

The Best Time to Send Emails (Backed by Data)

Marketers often ask when they should send emails for maximum engagement. While there is no universal best time, industry data reveals useful patterns. Here is what you need to know.

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Email Marketing Pro Team

Best Days to Send Emails

Across many studies, the strongest performing days are:

  • Tuesday
  • Wednesday
  • Thursday

Mondays can be crowded with catch up emails, and Fridays often see lower engagement as people prepare for the weekend.

Weekends may work for ecommerce and lifestyle brands but often underperform in B2B contexts.


Best Time of Day

Data generally shows higher engagement during:

  • 9 AM to 11 AM
  • 1 PM to 3 PM

Morning emails catch people as they check inboxes at the start of their workday.

Early afternoon works well as people return from lunch and review messages.

Late night sends typically underperform unless targeting specific audiences.


B2B vs B2C Timing

Audience behavior matters.

  • B2B emails perform better during business hours
  • B2C emails may perform well in evenings or weekends

Understanding your audience routine is critical.


Time Zone Matters

If you have subscribers across multiple regions, send emails based on each subscriber’s local time.

Sending at 10 AM local time will outperform sending at 10 AM in your own time zone.


Your Data Is More Important Than Industry Data

Industry benchmarks are helpful starting points.

However, your audience may behave differently.

Track:

  • Open rates by hour
  • Click rates by day
  • Conversion rates by send time

Over time, patterns will emerge that are unique to your list.


Test With A Structured Approach

Run controlled tests:

  • Send the same campaign at two different times
  • Compare engagement for identical segments
  • Measure revenue impact, not just opens

Testing removes guesswork.


Final Thoughts

Tuesday mornings are often a strong starting point.

But the real best time is when your specific audience is most likely to engage.

Use data, test consistently, and optimize based on performance rather than assumptions.

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