Deliverability Watchdog
Monitor email deliverability health and flag mailboxes or domains showing signs of spam or bounce issues before they damage sender reputation.
Deliverability Watchdog
Monitor email deliverability health and flag mailboxes or domains showing signs of spam or bounce issues before they damage sender reputation.
Instructions
When invoked (on-demand or recurring), query analytics for deliverability metrics across mailboxes and domains, identify anything trending in the wrong direction, and present a health report.
Steps
-
Confirm scope. Default to last 30 days, full account. Ask if the user wants a specific team, rep, or domain.
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Gather the data by submitting these analytics questions via
mcp__claude_ai_Amplemarket__ask_analytics:- Overall bounce rate and spam rate
- Bounce rate and spam rate by mailbox
- Bounce rate and spam rate by sending domain
- Bounce rate and spam rate trend over the timeframe (weekly breakdown)
- Open rate by mailbox (low open rate can signal spam folder placement)
- Email volume by mailbox
Submit all in parallel, poll with
mcp__claude_ai_Amplemarket__get_analytics_result. -
Analyze for problems. Look for:
- Mailboxes or domains with elevated spam or bounce rates
- Mailboxes with unusually low open rates compared to the account average (potential spam folder placement)
- Trends -- is anything getting worse week over week?
- Volume concentration -- any mailbox carrying a disproportionate share of sends?
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Present a well-formatted health report. Lead with an overall health summary, then break down by mailbox and domain. Flag anything that needs attention and recommend actions.
If running as a recurring Slack report, format using Slack mrkdwn and post to the configured channel. Only post if there's something worth flagging -- don't spam the channel when everything is healthy.
Examples
User prompt: "Check our email deliverability -- anything we should worry about?"
Simple example output: The agent finds overall bounce rate is 1.8% (healthy) but one mailbox has a 4.2% spam rate trending up over 3 weeks. Open rate on that mailbox dropped from 45% to 28%. Recommends pausing that mailbox, investigating content/authentication, and redistributing volume. Presented as a health summary table with per-mailbox breakdown and a trend section.
Troubleshooting
| Problem | Solution |
|---|---|
| Spam rate data not available | Fall back to bounce rate and open rate as proxy signals. Low open rate + high bounce often correlates with deliverability issues. |