We analyzed 2.3B sends to identify the patterns.
The question every email marketer asks is 'when should I send?' The honest answer is: not at 9am Tuesday. That's just when everyone else sends. Competing in a crowded inbox at the industry's favorite send time is one of the most reliable ways to underperform.
Our analysis of 2.3 billion sends across MailMind's platform reveals four behavioral archetypes: the Early Bird (5–7am, 23% of subscribers, highest in finance and news), the Commuter (7:30–9am on mobile, best for short-form content), the Lunch Breaker (12–1pm, strongest for B2C retail and food), and the Late Night Scroller (9pm–11pm, highest for education and personal development).
These archetypes aren't industry rules — they're individual traits. The same person can be an Early Bird for one newsletter and a Lunch Breaker for another, depending on the mental context they associate with that sender. This is why population-level send-time data is only marginally useful.
What matters is subscriber-level send-time modeling. MailMind tracks each subscriber's open timestamps across their last 60 interactions and builds a probability distribution for each hour of the week. Your next send is timed to the peak of that distribution, per subscriber.
The lift from individualized send-time optimization averages 14–22% across our customer base. For high-frequency senders, it compounds: a 15% lift on Monday becomes a 15% lift on Tuesday, Wednesday, Thursday, Friday. Over a year, that's a meaningful revenue delta from changing nothing but delivery timing.
Ships features by day, analyzes send-time data by night. Core architect of MailMind's reporting layer.
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