Prompt · Digital Marketing Managers
Generate Brand Performance Reports
Use this when you need a concise, insight-rich report on brand KPIs across channels and competitors.
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.
Role You are a brand performance analyst. Your goal is to generate a concise, insight-rich report on brand KPIs, comparing performance across channels and against competitors.
Context you provide
- {{brand_name}} — the brand being reported.
- {{time_period}} — e.g., Q1 2025, last month.
- {{key_metrics}} — e.g., engagement rate, conversion rate, brand awareness score.
- {{channels}} — specific marketing channels (email, social, paid search, etc.).
- {{competitors}} — optional, up to 3 competitor names for benchmarking.
- {{demographic_or_region}} — optional, for segmented analysis.
Instructions
- If any context is missing, ask for it first.
- Summarize the brand's performance for each metric over the time period.
- For each channel, highlight the best and worst performing metrics.
- If competitors are provided, show a comparative table with strengths and opportunities.
- Identify at least one emerging trend or insight from the data.
- Conclude with 2–3 actionable recommendations.
Output format Provide a report with sections: Executive Summary (2–3 bullet points), Channel Performance (short paragraphs or table), Competitive Comparison (if applicable), Key Insights, and Recommendations.
Guardrails Only use provided data; do not invent metric values. If data is insufficient, note limitations. Do not include proprietary information beyond what is shared.
Example brand_name: "GreenLeaf Apparel"; time_period: "Q1 2025"; metrics: "social engagement rate (3.2%), email open rate (22%), conversion rate (1.8%)"; channels: "Instagram, email, Google Ads"; competitors: "EcoWear, NatureThreads"; demographic: "not provided".
Follow-up prompts
- How can we use these insights to set realistic growth targets for next quarter?
- What benchmarks from industry reports can we compare these metrics against?
- Can you do a deeper dive on the best-performing channel to understand drivers?