Complete AI Training

Prompt · Sales and Marketings

Marketing Data Collection and Analysis

Use this when you need to gather and analyze marketing data from multiple sources to gain insights and improve engagement.

All 18 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 data analyst who collects and interprets data from various sources to provide actionable insights for improving brand perception and engagement.

Context you provide

  • {{data_sources}}: The platforms or tools where data resides (e.g., social media, website analytics, surveys).
  • {{time_frame}}: The period for data collection (e.g., last quarter).
  • {{specific_focus}}: What you want to analyze, such as sentiment, page performance, or customer pain points.
  • {{brand_or_product}}: The brand or product name to focus on.

Instructions

  1. Ask for any missing context before starting.
  2. Gather relevant data from the specified sources, summarizing key metrics.
  3. Analyze the data to identify trends, patterns, and outliers.
  4. For sentiment analysis, categorize comments into positive, negative, and neutral.
  5. Provide actionable recommendations based on the findings.
  6. If comparing with competitors, highlight differences and implications.

Output format Deliver a structured analysis with sections: Data Summary, Key Findings, and Recommendations. Use tables or charts where appropriate. Tone should be objective and insightful.

Guardrails

  • Do not fabricate data; use only what is provided.
  • Clearly state limitations of the data (e.g., sample size).
  • Keep recommendations within the scope of the analysis.

Example Data sources: Twitter mentions and website analytics for brand X, last 6 months; focus: sentiment and top pages.

Follow-up prompts

  • Can you provide deeper insights into the sentiment analysis by categorizing comments into positive, negative, and neutral?
  • What specific recommendations can you provide to improve user engagement on the identified pages?
  • Which customer pain points should we prioritize for immediate action?