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Send-time optimisation: does it actually matter, and how much

An honest assessment of how much send-time optimisation genuinely affects email performance, and practical guidance for implementing it well.

A laptop on a desk beside envelopes and email marketing notes

Send-time optimisation — timing email delivery to each subscriber's likely best engagement window — genuinely affects performance, though the magnitude of improvement varies enough that generic 'best time to send' advice should be treated with appropriate scepticism.

Why generic timing advice is less reliable than it sounds

General claims about the 'best day and time' to send email are based on broad averages across many different audiences and industries, which may not reflect your own specific subscriber base's actual behaviour at all.

  • Generic timing advice reflects broad averages, not your specific audience's actual behaviour.
  • Individual subscriber engagement patterns can vary significantly within the same list.
  • AI-driven, per-subscriber send-time optimisation, per our AI features comparison, often outperforms a single fixed send time for the whole list.

The 'best time to send email' according to a generic industry study is a reasonable starting guess, but your own audience's actual behaviour, tracked over time, is a far more reliable guide than any general recommendation.

A practical approach to send-time optimisation

  • Test different send times directly against your own audience's actual engagement data.
  • Consider AI-driven per-subscriber send-time features if your platform offers them.
  • Revisit your findings periodically, since audience behaviour can shift over time.

Frequently asked questions

How much can send-time optimisation genuinely improve open rate?

This varies by audience, but meaningful improvements are commonly reported — the specific magnitude for your list is best confirmed through your own direct testing.

Does send-time optimisation matter more for B2B or B2C audiences?

Both can benefit, though the specific optimal patterns often differ meaningfully — B2B audiences often engage more during business hours, while B2C patterns vary more by specific product and lifestyle context.

Should send-time optimisation be tested alongside subject line testing?

Testing one variable at a time generally produces clearer, more actionable results than testing multiple variables simultaneously in the same test.

If you want help optimising your email send timing for better engagement, talk to our team.

The takeaway

Test send-time optimisation against your own specific audience's engagement data rather than relying on generic 'best time to send' advice — individual audience behaviour varies enough that a genuinely data-driven approach consistently outperforms generic timing recommendations.


Written by Fibvo — Bengaluru and Erode, India — working with clients in other time zones. Questions, or think we have it wrong? Tell us.

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