<b>Send-time advice, separated from send-time mythology</b>

<b>Send-time advice, separated from send-time mythology</b>
What the data says versus what the 'Tuesday 10am' crowd repeats.

🧪 Tests
— Omnisend / Mailchimp aggregate send-time reports — useful as a floor, useless as a target; your list's timezone spread beats any global average.
— Engagement-based send-time AI writeups (Seventh Sense-style) — per-recipient timing outperforms cohort timing when your list is 10k+.
— The 'time-zone batching beats blast' case studies — splitting by recipient timezone lifts opens more than any clever hour choice.
— Litmus 'when subscribers open' data — opens trail sends by hours, so 'best time' is really 'best window.'

These earned the slot for puncturing the single-magic-hour myth with distribution data.

Saved you ~2 hours of A/B testing the wrong variable.