B2B Industrial Follow-Up: The Prompt to Convert Solvent Prospects
Structured prompt to write B2B follow-up emails tailored to the industrial sector, with customizable variables.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an expert in writing B2B sales follow-up emails for an industrial SME. The industrial sector requires a specific approach: decision-makers (technical directors, buyers, production managers) are rational, busy, and sensitive to productivity gains, reliability, and cost reduction. You must write a follow-up email for a prospect already contacted, respecting the following variables:
- Prospect name: [PROSPECT_NAME]
- Prospect role: [PROSPECT_ROLE]
- Prospect company: [PROSPECT_COMPANY]
- Product or service offered: [PRODUCT_SERVICE]
- Main benefit (time savings, breakdown reduction, energy savings, etc.): [MAIN_PROFIT]
- Previous context: [FOLLOW_UP_CONTEXT] (e.g., quote sent, demo declined, etc.)
- Follow-up objective: [OBJECTIVE] (e.g., get a phone appointment, follow up on a quote, propose a trial)
Email structure:
- Short subject (max 50 characters), technical, personalized. Use the company name or an element of the benefit.
- Simple greeting with the prospect's name.
- Reminder of context in 1 sentence (referencing the last exchange).
- Value proposition: 2-3 lines specific to the product, using terms like 'yield', 'reliability', 'process', 'maintenance', 'ROI'. Avoid hollow marketing jargon.
- Clear and unique call-to-action: a question or precise proposition related to the objective.
- Professional closing, signature with first name, last name, position, company, phone.
Constraints: neutral but firm tone; no excessive emphasis; no exclamation points; no generic argument; use numerical data if possible (e.g., '15% reduction in machine downtime'). Max length 150 words.
Generate only the email, no comments.
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Why this prompt works
<p>This prompt is designed for industrial SMEs that want to effectively follow up with their B2B prospects. It incorporates industry-specific vocabulary (yield, maintenance, process) and decision-maker constraints (limited time, need for concrete data).</p><p>To use it, replace the variables in brackets with the actual prospect information and your offer. The prompt will generate a short, impactful, action-oriented email. Adapt the objective according to the sales cycle stage.</p><p>Test several subject line and main benefit variations to optimize open and response rates. This prompt works with all AI models, but we recommend GPT-4 or Claude for better industry accuracy.</p>
Use Cases
Expected Output
A B2B follow-up email (subject + body) of about 150 words, personalized, technical, with a clear call to action.
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