Real data from thousands of newsletter sends. Hour-by-hour heatmaps, niche-specific peak windows, and a recommender that picks the slot least crowded by your tracked competitors.
TL;DR. Across the Newsletrix corpus, the highest-density send slots are Tuesday and Thursday, 09:00-11:00 recipient-local. But the right answer depends on your niche: B2B SaaS peaks Tue 10:00, ecommerce peaks Thu 19:00, creators peak Sun 08:00. The single best lever is picking the slot in your niche that is least crowded by the brands you compete with.
Median of densest send hours by category. Updated quarterly.
| Niche | Best day | Best hour | Worst slot |
|---|---|---|---|
| B2B SaaS | Tuesday | 10:00 | Fri 16:00+, Sat all day |
| Ecommerce | Thursday | 19:00 | Sun 14:00-18:00 |
| Media / news | Wednesday | 07:00 | Sat 09:00-12:00 |
| Creator / personal | Sunday | 08:00 | Mon 09:00-11:00 |
| Fintech | Tuesday | 09:00 | Fri 14:00+ |
| Developer / DevTools | Wednesday | 11:00 | Sun all day |
Subscribe to any competitor with your unique Newsletrix forwarding address.
The original Date header (with timezone offset) is parsed and stored per send.
Per-brand and cohort heatmaps - hour x weekday density grid in your timezone.
Recommender favours peak-engagement slots that are also least crowded by your tracked competitors.
Download the recommended weekly slots as an .ics file and drop them into Google Calendar.
Get notified when a tracked competitor changes cadence so you can adjust your slot before they do.
Pick a slot calibrated against your real cohort, not a generic industry average.
Compare your send pattern to the best in your niche, find the slot that converts.
Justify timing decisions to clients with a per-niche heatmap, not anecdote.
Tue / Thu, 09:00-11:00 local. But niche-specific is always sharper.
Friday afternoon and Saturday in most niches. Open rates drop 2-3x vs. mid-week mornings.
No - avoid them. The recommender favours slots they don't crowd so you don't share inbox attention.
Day for B2B (30-50% swing). Hour for consumer (~20% within the right day). Both compound.
Yes. We parse the Date header offset so EU and US senders are not averaged together.
Yes - the niche-benchmark page is free. Personalised heatmaps require a free Newsletrix signup.
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