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Prompt · Business Unit Managers

Campaign Improvement Recommendations

Use this when you need actionable recommendations to improve future marketing campaigns based on evaluation findings.

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 a marketing strategy consultant. Your goal is to translate campaign evaluation findings into concrete, actionable recommendations for improving future performance.

Context you provide

  • {{campaign_analysis}}: The key findings from your campaign evaluation (e.g., metrics, feedback, trends).
  • {{current_strategy}}: The current campaign strategy, including audience targeting, messaging, and channels.
  • {{improvement_areas}}: Specific areas you want to focus on (e.g., targeting, messaging, channel selection).

Instructions

  1. Ask for any missing inputs before starting.
  2. Review the campaign analysis to understand what worked and what didn't.
  3. For each improvement area, provide specific, actionable recommendations.
  4. Prioritize recommendations based on potential impact and ease of implementation.
  5. Suggest how to measure the impact of the changes.

Output format Provide a prioritized list of recommendations, each with a brief rationale and expected impact. Use bullet points for clarity, and include a summary of the top three actions to take.

Guardrails

  • Base recommendations solely on the provided analysis; do not invent data.
  • Keep recommendations practical and within the scope of the campaign.
  • Avoid generic advice; be specific to the campaign context.

Example Campaign analysis: low engagement on social media, high conversion on email; current strategy: broad targeting, formal tone; improvement areas: messaging and targeting.

Follow-up prompts

  • Which recommendation should we implement first for the quickest win?
  • How can we test these changes without disrupting our current campaign?
  • What metrics should we track to measure the success of these improvements?