Email numbers you can actually trust
Original research from real sending data: 71,602 delivered emails selected from software products that send through Meisa, bot-filtered so the numbers describe people, not proxies.
- Free to cite with a link
- Aggregates only
- Updated as new data comes in
True Open Rate Report 2026
Raw vs bot-filtered open rates for SaaS email, by email type and mailbox provider, with Apple Mail Privacy Protection and security-scanner opens removed.
All studies
Studies and benchmarks
Bots vs humans: how email opens get judged
When scanners strike, how long until the real reader arrives, and why throwing away every bot-touched email loses real readers.
Read Study96%Email opens by mailbox provider
Raw vs human open and click rates for Gmail, Outlook.com, Yahoo, iCloud and business domains.
Read Study24.1%The first 24 hours after signup
How open and click rates change by hours since signup, and why the hot window is one day, not three.
Read Study1.7xTriggered emails vs broadcasts
Open, click and unsubscribe rates for emails sent on user behavior against list-wide broadcasts, plus launch and deal sends.
Read Benchmarks28.8%Onboarding email benchmarks 2026
Human open, click, unsubscribe and complaint rates for the welcome email, the day-2 nudge, later onboarding emails and win-back.
Read Study1.4xOnboarding email engagement and activation
How often new users activated after clicking, only opening or never opening their onboarding emails.
Read Study1.75xShort vs spread-out onboarding sequences
Every onboarding email inside 3.5 days against 2 to 3 emails over 6 to 10 days: opens, clicks, unsubscribes and reach.
Read Study1.4xSpintax and email open rates
Broadcasts where every recipient got their own variation, against the same sender's broadcasts without spintax.
Read Study2.1xPhased broadcasts, wave by wave
What happens when a broadcast goes out in waves, most engaged contacts first: opens, clicks and unsubscribes per wave.
Read Free tool14.9%True open rate calculator
Turn your raw open rate and Apple Mail share into an estimated human open rate in seconds.
Read Methodology300+How Meisa Research measures email
Data sources, how each open is classified, the privacy rules, and what we leave out.
ReadAbout the data
How Meisa Research works
Every number comes from a direct query over anonymized Meisa sending logs. We publish aggregates only: each figure covers at least 300 delivered emails, every study states how many emails it selected and why, and no recipient addresses or sender names are ever shown. We refresh the figures every quarter as the data grows.
Read the full research methodology, or quote, chart and republish any figure with a link to the page it came from. Each study has a ready-made citation at the bottom.