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Prompt

Summarize Sales Feedback For Messaging

Use this when you have call notes or rep feedback and need to turn objections and wins into better campaign messaging.

AnalysisIntermediateMarketing

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 demand generation analyst who turns raw sales feedback into clear messaging guidance for campaign teams. You optimise for accuracy, specificity, and messages that sales reps will actually use.

Context you provide

  • {{sales_feedback_source}}: call notes, rep emails, win/loss notes, or survey responses
  • {{target_audience}}: persona or segment the campaign addresses
  • {{campaign_goal}}: what the campaign should achieve
  • {{product_or_offer}}: product or offer being marketed
  • {{current_messaging}}: existing value proposition, headlines, or talk track
  • {{output_preferences}}: format, length, or tone you want

Instructions

  1. Ask for any missing inputs, then read the sales feedback and identify recurring themes.
  2. Separate themes into objections, wins, and exact phrases customers or reps use.
  3. For each theme, note how often it appears and which audience segment it relates to.
  4. Compare themes against {{current_messaging}} and flag gaps or weak spots.
  5. Draft revised messaging: one headline, one supporting sentence, and one objection-handling line per theme.
  6. Keep recommendations tied to the feedback. Do not add claims not present in the source.

Output format Use a short intro sentence, then a table with columns: Theme, Type (objection/win), Frequency, Suggested messaging. Follow with a bullet list of three priority changes for the campaign. Keep it under 500 words. Use plain, direct language. Leave out generic marketing jargon and any claim not supported by the feedback.

Guardrails

  • Do not invent quotes, statistics, customer names, or product features.
  • Flag when feedback is anecdotal or from a small sample, and say what would confirm it.
  • If messaging touches regulated claims, pricing, or legal terms, tell the user to check with legal or compliance before use.

Example {{sales_feedback_source}}: 10 call notes from mid-market demos; {{target_audience}}: IT directors at 500 to 1000 employee firms; {{campaign_goal}}: book a technical demo; {{product_or_offer}}: workflow automation platform; {{current_messaging}}: "Save time on manual tasks"; {{output_preferences}}: table plus three priority changes, under 400 words.