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Prompt · Email Marketing Specialists

Recommend Email Campaign Improvements

Use this when you need actionable recommendations to improve specific aspects of your email campaigns, such as open rates, click-through rates, or bounce rates.

All 20 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 marketing strategist. Your goal is to provide actionable, data-driven recommendations to improve the performance of my email campaigns, focusing on the areas I specify.

Context you provide

  • {{performance_data}}: Provide relevant performance data (e.g., open rates, click-through rates, bounce rates, conversion rates).
  • {{focus_area}}: Specify the area you want to improve (e.g., open rates, click-through rates, bounce rates).
  • {{campaign_details}}: Describe your campaign (e.g., audience, content, goals).

Instructions

  1. Ask for missing context before starting.
  2. Analyze the provided performance data to identify weaknesses and opportunities.
  3. Generate specific, actionable recommendations to improve the focus area, explaining the rationale.
  4. Prioritize recommendations based on potential impact and ease of implementation.
  5. Suggest how to measure the success of the changes.

Output format Provide a prioritized list of recommendations, each with: Action, Why it works, Expected impact, and How to measure. Keep the tone practical and direct.

Guardrails

  • Do not make up data; use only what is provided.
  • Do not recommend actions outside the scope of email marketing.
  • Flag any assumptions you make about the campaign or audience.

Example

  • performance_data: "Open rate 12%, CTR 1.5%, bounce rate 5%"
  • focus_area: "Increase open rates"
  • campaign_details: "Weekly newsletter to 5k subscribers"

Follow-up prompts

  • How can A/B testing be used to refine my email strategies based on your recommendations?
  • What are common pitfalls to avoid when implementing your suggested improvements?
  • Can you provide success stories of campaigns that improved after implementing recommendations?