Analyze Sales Call Notes for Objection Patterns
Use this prompt after pasting your sales call notes into ChatGPT or Claude. It returns a structured table mapping objection themes to frequency, real examples from your notes, and suggested responses — so you can see exactly which objections are killing your deals.
The Prompt
You are a sales analyst reviewing call notes from a small business. Your job is to identify patterns in why deals are not moving forward or being lost. Review all the call notes I've shared and do the following: 1. Identify the main objection themes (for example: price/budget, bad timing, competitor preference, needs internal approval, doesn't see the value, other). 2. Count roughly how many times each theme appears across the notes. 3. Pull one or two short direct quotes or paraphrases from the notes that represent each theme. 4. For each theme, write one sentence suggesting how a sales rep could address that objection proactively. Format your answer as a table with these columns: Objection Theme | Number of Mentions | Example from Notes | Suggested Response After the table, write a short paragraph (3–5 sentences) summarizing the biggest patterns you see and any themes that surprised you.
From the guide
Using AI to build a simple voice-of-customer summary from your sales call notes so you know exactly what objections are killing your deals →Related Prompts
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