Prompt

How do I investigate missing transactional emails?

Technology / Api platforms1 observationLast seen Sep 23, 2026

Latest observation

Sep 23, 2026OpenAI APIWeb search: off

To investigate missing transactional emails, work from the top of the delivery chain down to the mailbox. Here’s a practical checklist:

1) Confirm the email was actually triggered

  • Check the app/backend logs for the event that should send the email.
  • Verify the transaction occurred and the email job/message was queued or submitted.
  • Look for retries, failures, or exceptions in the sending code.

2) Check your email service/provider logs

If you use a provider (SES, SendGrid, Mailgun, Postmark, etc.):

  • Search for the recipient address, message ID, or timestamp.
  • Confirm whether the message was:
    • accepted by the provider
    • queued
    • sent
    • bounced
    • deferred
    • dropped/suppressed

3) Verify the recipient address

  • Make sure the address is spelled correctly.
  • Check for typos, case issues, or unexpected aliases.
  • Confirm the user didn’t change their email address in your system.

4) Look for suppression and bounce issues

  • Check if the recipient is on a suppression list due to:
    • previous hard bounce
    • complaint/spam report
    • unsubscribe from transactional-equivalent stream (less common, but possible)
  • Review bounce/deferred reasons from the provider.

5) Inspect spam/junk/quarantine

  • Ask the recipient to check:
    • inbox
    • spam/junk
    • promotions/updates tabs
    • quarantine/security filtering
  • For corporate mailboxes, check whether the company gateway quarantined it.

6) Validate domain/authentication

Poor authentication can cause silent filtering:

  • SPF
  • DKIM
  • DMARC
  • From/reply-to alignment
  • Custom tracking domains, if used

7) Check sending reputation and volume

  • Look for spikes in bounce rates or complaint rates.
  • Review recent sending patterns:
    • sudden volume increase
    • new IP/domain
    • new content/template
    • new links or attachments
  • Shared IP reputation may also be affecting delivery.

8) Review the content/template

Certain content can trigger filtering:

  • misleading subject lines
  • too many links
  • URL shorteners
  • attachments
  • suspicious HTML or broken markup
  • mismatched From name/domain

9) Inspect message IDs and traceability

  • Ensure each email has a unique message ID or correlation ID.
  • Log that ID in your app and provider so you can trace a single message end to end.

10) Test with controlled sends

Send the same transactional email to:

  • Gmail
  • Outlook/Hotmail
  • Yahoo
  • a corporate domain This helps determine whether the issue is:
  • recipient-specific
  • provider-wide
  • domain-specific
  • content-specific

11) Check queues and retries

If you run your own email queue:

  • confirm jobs aren’t stuck
  • check worker health
  • check dead-letter queues
  • verify retry policy and timeouts

12) Use provider webhooks/events

If available, enable and inspect events for:

  • delivered
  • bounced
  • deferred
  • opened/clicked
  • rejected
  • suppressed

13) Ask the recipient for exact timing and mailbox details

Useful details:

  • exact time they expected it
  • whether other emails from you arrive
  • mailbox provider and domain
  • whether they use filters/rules

Fast triage flow

  1. Did your app attempt to send it?
  2. Did your provider accept it?
  3. Was it bounced/deferred/suppressed?
  4. Did it reach the mailbox provider?
  5. Was it filtered after delivery?

Good logging to add going forward

For each transactional email, log:

  • recipient
  • template name/version
  • event/triggers
  • timestamp
  • message ID
  • provider response
  • delivery status updates/webhook events
  • bounce/deferred error codes

If you want, I can also give you a step-by-step debugging playbook or a checklist tailored to SES / SendGrid / Mailgun / Postmark.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.