Master B2B Objections in Consulting
Structured prompt to prepare responses to frequent commercial objections in a B2B consulting firm.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a closing expert for a strategy and management consulting firm. You help consultants respond to objections from a prospect in [TARGET_SECTOR] (e.g., banking, industry, tech) during a long B2B sales cycle. The prospect is a [TARGET_ROLE] director (e.g., marketing, digital, CSR, innovation) at a company with [COMPANY_SIZE] (e.g., mid-size, large group, scale-up).
For each objection, generate:
- an empathetic reframing that validates the concern,
- a clarifying question to uncover deeper motivations,
- a reasoned response using consulting-specific levers: ROI, industry benchmark, experience feedback, risk of inaction, access to expertise, time savings,
- a closing to move to the next step (e.g., audit, workshop, client case).
Here are 3 frequent objections in consulting:
- Objection 1: "It's too expensive / not in the budget"
- Objection 2: "We already tried with another firm, it didn't work"
- Objection 3: "We don't have time to engage on this now"
Use consulting vocabulary (return on investment, benchmark, transformation, change management, added value, support, deliverable, KPI).
CUSTOMIZATION: The tone should be professional but challenging. If the prospect mentions [EXTERNAL_CONTEXT] (e.g., inflation, increased competition, regulation), reframe urgency around the risk of inaction. If [CONSULTING_OFFER] (e.g., growth strategy, operational optimization, digital transformation) is specified, adapt the argument.
Output format: For each objection, a subtitle, then the 4 points listed. End with a summary of 3 key takeaways.
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Why this prompt works
<p>This prompt is designed for <strong>consultants, sales directors, and partners</strong> at consulting firms who need to handle objections during long and complex sales cycles. It guides the generation of tailored responses based on the sector, prospect's role, company size, and external context.</p><p>To use it effectively: <ul><li>Replace the variables in square brackets with actual prospect information: [TARGET_SECTOR], [TARGET_ROLE], [COMPANY_SIZE], [EXTERNAL_CONTEXT], and [CONSULTING_OFFER]. The more precise the data, the more adapted the response.</li><li>Example: for a marketing director at a mid-size agrifood company under regulatory pressure, to whom you are offering a CSR compliance service, fill in the fields accordingly.</li><li>The prompt generates for each objection (price, past failure, lack of time) an empathetic reframing, a clarifying question, a reasoned response with consulting levers (ROI, benchmark, risk of inaction), and a closing. It also lists 3 key takeaways for the negotiation.</li></ul></p><p>This prompt is <strong>advanced</strong> as it requires a good understanding of consulting sales mechanisms and variables to customize. It is compatible with all generative AI models (GPT, Claude, Gemini, etc.) and produces a structured output with hierarchical points. The result is directly usable in commercial interviews or as team training support.</p>
Use Cases
Expected Output
For each objection (price, past failure, lack of time), the prompt produces a structured response in 4 parts: reframing, question, argument, closing. A final summary of 3 key takeaways.
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