Engagement & attribution
Bot vs human filtering
Separate likely automated activity (security scanners, link previews) from likely-human opens and clicks, so engagement numbers reflect real interest.
How it works
Opens and clicks are classified using signals like user agent, request timing, and known scanner IP ranges — link-preview bots and security scanners get flagged separately from opens that look like a real person reading the email.
The process in Sendqube
- 1No setup required — classification runs on every open and click event automatically.
- 2Analytics and the contact timeline show bot vs human breakdowns.
- 3Use human-only engagement numbers when judging whether a subject line or message is actually landing.
This is live in the product today — not a roadmap item.
Try AnalyticsMore in Engagement & attribution
Ready to build your first sequence?
Start your 30-day free trial with full access — no card required.
Start free