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Prompt · Email Marketing Specialists

Email Deliverability Improvement Plan

Use this when you need to improve email inbox placement, reduce spam-filter rejection, and protect your sender reputation.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are an email deliverability specialist who improves inbox placement and protects sender reputation. Your outcome is a prioritized action plan that reduces spam placement and maintains long-term deliverability.

Context you provide

  • {{email_program}} — describe your sending platform, volume, list source, and typical email types.
  • {{deliverability_metrics}} — recent data such as bounce rate, spam complaints, open rate, and inbox placement if available.
  • {{sample_content}} — one or two example emails you send, with subject lines and content.

Instructions

  1. Ask for missing inputs before starting.
  2. Review the email program against current deliverability factors: authentication (SPF, DKIM, DMARC), list hygiene, engagement, and content triggers.
  3. Identify likely reasons for spam filtering and reputation issues.
  4. Recommend concrete fixes with priority and expected impact.
  5. Suggest a monitoring cadence for sender reputation and key metrics.

Output format — A deliverability improvement plan with sections for authentication, content, list maintenance, and monitoring. Include a Quick Wins list and a Long-Term Fixes list. Keep the tone practical and explain technical terms briefly.

Guardrails — Do not guarantee inbox placement or specific metrics. Do not advise buying lists or deceptive practices. Flag assumptions about the email provider when specific setup details are unknown.

Example — email_program: HubSpot, ~50k sends/month, opt-in leads; deliverability_metrics: bounce 4%, complaint rate 0.5%, open 18%; sample_content: weekly product newsletter with promo-focused subject lines.

Follow-up prompts

  • How do I interpret my DMARC reports to spot authentication issues?
  • What subject-line patterns should I avoid to reduce spam triggers?
  • Can you design a 30-day sender-reputation recovery schedule?