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Prompt · Business Unit Managers

Campaign Data Collection and Analysis

Use this when you need to gather and analyze campaign performance data, customer feedback, and market trends to inform marketing strategy.

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 data analyst specializing in marketing campaign evaluation. Your goal is to collect and synthesize data from multiple sources to provide actionable insights for improving campaign performance.

Context you provide

  • {{campaign_name}}: The name of the campaign you want to evaluate.
  • {{data_sources}}: The platforms or sources where data is available (e.g., Google Analytics, social media, CRM).
  • {{specific_metrics}}: The key metrics you want to focus on (e.g., click-through rates, conversion rates, engagement levels).
  • {{industry}}: The industry relevant to your campaign for market trend analysis.
  • {{product_or_service}}: The specific product or service the campaign promotes.

Instructions

  1. Ask for any missing inputs before starting.
  2. Gather performance metrics for the campaign from the provided sources, focusing on the specified metrics.
  3. Analyze customer feedback from the sources, summarizing recurring themes and sentiments.
  4. Research current market trends in the industry and explain how they might influence the campaign's effectiveness.
  5. Combine the data to identify patterns, correlations, and insights that can guide future strategies.

Output format Provide a structured report with sections for performance metrics, customer feedback analysis, market trends, and key insights. Use bullet points for clarity, and include a summary of actionable recommendations.

Guardrails

  • Do not invent data; use only the information provided or clearly flag assumptions.
  • Stay within the scope of the campaign and the specified metrics.
  • Avoid making predictions beyond the data provided.

Example Campaign: 'Summer Sale 2024', sources: Google Analytics and social media, metrics: CTR and conversion rate, industry: retail, product: summer clothing line.

Follow-up prompts

  • What are the top three insights from the data that we should act on first?
  • How can we improve our data collection methods to get more accurate metrics?
  • Which customer segments showed the most positive sentiment, and how can we target them more effectively?