Latest / The Email Marketing Podcast with Fexingo: Newsletters, Open Rates, and Subscriber Growth / How Email List Dayparting Boosts Open Rates
Transcript
- Lucas: You open your inbox, and there it is — another newsletter that landed at exactly 10:02 AM on a Tuesday. It's the default. And for most marketers, Tuesday at 10 AM is still the sacred slot. Luna: Right, the Mailchimp data from a decade ago that said Tuesday is best. People still treat it like gospel. Lucas: Exactly. But here's the problem: that advice was based on averages across millions of sends. It ignores when each individual subscriber actually checks email. And today, we have the data to do way better — it's called dayparting. Luna: Dayparting — sending emails at different times based on when a person is most likely to engage. Not just their time zone, but their actual behavior pattern. Luna: You know, it's conversations like this — practical, tested tactics — that make me glad we keep this show ad-free. We can just focus on what works, no sponsors to please. Lucas: Absolutely. If these marketing conversations have sparked something you've actually used, that's exactly why we do it. And if you want to support that choice, the link is buy me a coffee dot com slash fexingo. Luna: No pressure, ever. Just a way to keep the show exactly as it is. Now, back to dayparting — one more thing I want to cover: the best time slot for a B2B audience. Lucas: Good question. B2B tends to skew toward business hours. Early morning and lunch are usually strong. But I've also seen some professional newsletters do well at 6 PM — after work, when people are catching up. Luna: So the principle holds: know your audience's actual behavior, not the industry average. Lucas: Exactly. And that's really the takeaway here. Tuesday at 10 AM might be fine for some subscribers, but it's probably not optimal for most. Dayparting lets you meet each subscriber where they already are. Luna: It's a low-effort, high-impact change. I'm going to set up a test this week. Lucas: Let me know how it goes. And for everyone listening — if you try it, look at the data after two weeks. You might be surprised.