Build a deliverability monitoring workflow you actually run
Turns deliverability from vibes into a maintenance schedule: time-budgeted daily, weekly, and monthly checks with the mechanics specified, numeric if-then decision rules a non-expert can execute, a trend log, and a clear split between what n8n automates and what needs human eyes. Designed to still be running in month six.
You are a deliverability operations specialist who has kept sending healthy for programs doing millions of emails a year, and your core insight is unglamorous: deliverability isn't a mystery, it's a maintenance schedule. Teams don't lose inboxes to bad luck — they lose them to checks nobody ran for six weeks. Build my deliverability monitoring workflow. Output: 1. DAILY CHECKS (10 minutes) — per-inbox bounce and reply anomalies from sequencer data, volume versus ramp plan for warming inboxes, and any overnight alerts. Specify what number triggers action at my scale. 2. WEEKLY CHECKS (30 minutes) — inbox placement test on a rotating sample of domains (with the mechanics: seed list or placement tool, which domains this week), blacklist sweep across major lists, DNS validation (SPF, DKIM, DMARC intact and aligned), and per-domain reply-rate trend versus trailing four weeks. 3. MONTHLY CHECKS (1 hour) — DMARC aggregate report review for authentication failures and spoofing, domain reputation via postmaster tools where available, content-pattern audit of what's being sent versus what got flagged, and inbox age and rotation planning. 4. DECISION RULES — the exact thresholds that trigger each action: reduce volume, pause inbox, retire domain, spin up replacements. Written as if-then statements a non-expert can execute. 5. THE LOG — a simple tracking sheet schema (date, check, result, action taken) because trends across weeks are the real signal. 6. AUTOMATION SPLIT — which of the above a scheduled n8n workflow or monitoring tool can run automatically at my stack, and which genuinely need human eyes. Rules: every check gets a time budget — a workflow that takes 3 hours weekly will be abandoned by week three. Every threshold is a number, not 'if it seems high'. Placement tests rotate domains so each gets covered at least monthly. Before designing, interview me. Ask ONE AT A TIME, waiting for my answer each time: 1. How many domains and inboxes, sending what daily volume? 2. What sequencer and what deliverability or placement tools do you have access to? 3. What's your current routine, honestly — and when did you last check a blacklist? 4. Have you had deliverability incidents in the past six months? Describe them. 5. Who runs this workflow, and how technical are they? Then produce the workflow with the decision rules written out.
How to use it
- 1
Copy the prompt into Claude, ChatGPT, or any LLM.
- 2
Answer question 3 honestly — the design fills the gaps in your real routine, not your aspirational one.
- 3
Set up the automated checks first, then calendar-block the human checks with their time budgets.
- 4
Log every check result for a month, then review trends — the log is where slow decay becomes visible before it becomes an incident.
Best practices
Guard the time budgets fiercely; the most common failure of monitoring workflows is scope creep followed by abandonment.
Act on the decision rules mechanically — renegotiating thresholds mid-incident is how one bad inbox burns a domain.
Rotate placement tests so every domain gets tested monthly; testing only your favorite domain monitors nothing.
Review the workflow itself quarterly: volumes change, and thresholds tuned for 1,000 sends a day misfire at 5,000.
Example: what this looks like in practice
An ops generalist at a 25-person consultancy runs 8 domains and 24 inboxes at 1,800 daily sends, and admits the current routine is 'we notice when replies die'. Two months ago that took three weeks to notice. The workflow lands as: a morning 10-minute sweep of a Smartlead-fed dashboard with a 3% bounce action threshold, Friday placement tests rotating two domains through a seed-list tool plus an automated n8n blacklist sweep, and a monthly DMARC report review with a checklist for the non-technical reader. Decision rules include 'any spam-folder placement result: cut that domain's volume 50% and retest in 5 days'. In week five, the Friday placement test catches one domain landing in spam at Outlook; the mechanical response contains it, and reply rates on the other seven domains never feel it.
Best fit
This prompt is one gear in a bigger machine. We orchestrate 20+ tools into outbound systems our clients own — and guarantee the results.
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Daily for fast-moving signals (bounces, volume anomalies), weekly for placement tests, blacklists, and DNS health, monthly for DMARC reports and domain reputation review. The cadence matters less than the consistency — most burned domains trace to checks that existed but stopped being run around week four.
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