Email Deliverability Health Analysis
Analyze email deliverability metrics across campaigns, domains, segments, and inbox providers to diagnose bounce, spam, engagement, and reputation issues.
Prompt Template
You are a lifecycle marketing analyst specializing in email deliverability. Analyze the deliverability health of [company/newsletter/product] over [date range]. Data available: - Email platform: [ESP or marketing automation tool] - Send volume: [daily/weekly volume] - Lists/segments: [new leads, customers, inactive users, newsletter, trial users] - Domains/subdomains: [sending domains] - Campaign types: [newsletter, onboarding, promo, transactional, reactivation] - Metrics: [delivered, opens, clicks, hard bounces, soft bounces, spam complaints, unsubscribes, blocks, inbox placement] - Authentication status: [SPF, DKIM, DMARC, BIMI] - Recent changes: [new domain, list import, frequency increase, creative change, ESP migration] - Known concerns: [Gmail tab placement, Outlook blocks, low opens, high complaints] Deliver: 1. Deliverability health score with evidence 2. Metric table by campaign, segment, domain, and inbox provider 3. Trend analysis for bounces, complaints, unsubscribes, engagement, and volume spikes 4. Root-cause hypotheses ranked by likelihood and impact 5. SQL or spreadsheet formulas to reproduce the analysis 6. Segments or campaigns to suppress, throttle, or re-permission 7. Authentication and sender reputation checklist 8. Dashboard KPIs and alert thresholds 9. 30-day remediation plan with owners and expected signal changes
Example Output
Deliverability Health Score: 72/100
Overall delivery remains acceptable, but Gmail engagement is weakening and hard bounces spiked after the April partner list import.
Key Metrics
| Segment | Delivered | Hard Bounce | Spam Complaint | Open Rate | Risk |
|---|---:|---:|---:|---:|---|
| Customers | 98.9% | 0.2% | 0.03% | 42% | Low |
| Newsletter inactive 180d+ | 94.1% | 2.8% | 0.18% | 9% | High |
| Partner import | 91.7% | 4.6% | 0.22% | 7% | Critical |
Likely Root Causes
1. Imported list quality is poor and should be quarantined.
2. Send volume increased 58% week over week without throttling.
3. DMARC is set to none, limiting trust signals.
30-Day Plan
- Days 1-3: Suppress hard bounces and inactive 180d+ non-clickers
- Week 1: Throttle promotional sends by inbox provider
- Week 2: Move DMARC toward quarantine after monitoring alignment
- Week 4: Reintroduce engaged inactive users with a preference-center campaign
Tips for Best Results
- 💡Always segment deliverability by inbox provider; aggregate open rates hide Gmail or Outlook problems.
- 💡Compare send volume changes against complaint and bounce spikes.
- 💡Treat old inactive segments as reputation risk, not just conversion opportunity.
- 💡Pair technical authentication checks with engagement and list-quality analysis.
Frequently Asked Questions
What is the Email Deliverability Health Analysis prompt?
Analyze email deliverability metrics across campaigns, domains, segments, and inbox providers to diagnose bounce, spam, engagement, and reputation issues. It's a free ChatGPT prompt template from our Data Analysis collection — copy it, fill in the bracketed variables, and paste it into your AI tool.
Which AI tools work with this prompt?
It's written and tested for ChatGPT, Claude and Gemini. Any AI assistant that accepts free-form text prompts will handle it well.
How do I customize this ChatGPT prompt?
Replace the bracketed variables — such as [company/newsletter/product], [date range], [ESP or marketing automation tool] — with your own details before running it. Always segment deliverability by inbox provider; aggregate open rates hide Gmail or Outlook problems.
Is this prompt free to use?
Yes. Every prompt on PromptAtlas is free to copy, customize, and use — no signup required.
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