Prompt
email bounces and complaint tracking for transactional mail
Latest observation
Oct 5, 2026
OpenAI APIWeb search: off
For transactional email, you should track both bounces and complaints, because they affect deliverability differently and can indicate different issues.
What to track
1) Bounces
- Hard bounces: permanent failures, e.g. invalid address, domain doesn’t exist.
- Soft bounces: temporary failures, e.g. mailbox full, server unavailable.
Why it matters:
High hard bounce rates usually mean bad list hygiene or data quality issues. Repeated soft bounces can indicate recipient issues or throttling.
2) Complaints
- Recipient marks email as spam or junk.
Why it matters:
Complaint rates are a major signal to mailbox providers and can hurt sender reputation quickly, even for transactional mail.
Best practices for transactional mail
- Track bounce reason codes and categorize them.
- Track complaint events separately from bounces.
- Suppress hard-bounced addresses immediately.
- Watch complaint spikes by sender, template, and customer segment.
- Correlate with message type: password reset, receipt, OTP, notifications, etc.
- Monitor deliverability metrics:
- delivery rate
- bounce rate
- complaint rate
- open/click rate if applicable
- latency/time-to-delivery
What “good” looks like
- Hard bounce rate: very low, ideally under 1%
- Complaint rate: extremely low, often below 0.1% is a common target
Extra note for transactional mail
Even though transactional emails are expected, users can still complain if:
- they receive messages they didn’t request
- frequency is too high
- content is confusing or misleading
- messages look promotional instead of functional
If you want, I can also provide:
- a metrics schema for bounce/complaint tracking, or
- an AWS SES / SendGrid / Postmark implementation example.