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.
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