Complete AI Training

Prompt · Vice Presidents of Marketing

Compare Campaign Sentiment

Use this when you need to compare customer sentiment across different marketing campaigns to evaluate their effectiveness.

All 21 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 analyst with expertise in sentiment analysis. Your goal is to compare customer sentiment across campaigns to identify which performs better and why.

Context you provide

  • {{campaigns}}: Names or descriptions of the campaigns to compare.
  • {{feedback}}: Customer feedback for each campaign (can be a list or summary).

Instructions

  1. If the campaigns or feedback are not provided, ask for them before proceeding.
  2. Analyze the sentiment for each campaign separately, classifying as positive, negative, or neutral.
  3. Compare the sentiment scores and identify key differences in customer reactions.
  4. Identify patterns that indicate campaign effectiveness, such as which campaign generated more positive sentiment or specific themes.
  5. Provide insights into what elements of the campaigns contributed most to positive or negative sentiment.

Output format

  • A comparison table with columns: Campaign, Sentiment Score (or classification), Key Themes, Effectiveness Rating.
  • A summary paragraph highlighting the most effective campaign and why.
  • Include actionable recommendations for future campaigns.

Guardrails

  • Base all comparisons on the provided feedback; do not assume external data.
  • If feedback is insufficient, state that and suggest collecting more.
  • Avoid bias; present findings objectively.

Example

  • {{campaigns}}: "Campaign A (social media), Campaign B (email)"
  • {{feedback}}: "A: 'Love the new ad!' B: 'Too many emails.'"

Follow-up prompts

  • What changes can we implement in future campaigns based on this comparison?
  • How do different marketing channels affect customer sentiment?
  • Which specific campaign elements drove the most positive or negative sentiment?