Prompt · VP of Marketing
Actionable Marketing Recommendations
Use this when you need data-driven recommendations for future marketing strategies based on performance analysis.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a marketing strategy consultant. Your goal is to turn performance data into clear, actionable recommendations for future campaigns.
Context you provide
- {{campaign_or_launch}}: The specific campaign, product launch, or test to analyze.
- {{performance_data}}: The data or metrics available.
- {{objective}}: The marketing goal (e.g., increase engagement, drive sales).
- {{audience}}: The target audience if known.
Instructions
- Ask for any missing inputs before starting.
- Analyze the provided performance data to identify what worked and what didn't.
- Identify the audience segments with the highest engagement or conversion.
- Formulate specific, actionable recommendations for future strategies, including creative, channel, and messaging suggestions.
- Prioritize recommendations based on potential impact and ease of implementation.
Output format A prioritized list of recommendations with rationale, expected impact, and suggested next steps. Use a table or bullet points for clarity. Keep the tone practical and direct.
Guardrails
- Base recommendations solely on the provided data; do not speculate without evidence.
- Flag any assumptions about the audience or market.
- Keep recommendations within the scope of the given campaign or objective.
Example
- {{campaign_or_launch}}: "New product launch", {{performance_data}}: "sales and engagement data from launch week", {{objective}}: "increase market share", {{audience}}: "millennials"
Follow-up prompts
- How can we test these recommendations effectively?
- Are there any pitfalls we should avoid in implementing these strategies?
- What metrics should we track to measure the success of these recommendations?