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.
Paste in your AI
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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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
Improve this prompt with the OptimizerComments
- LéaAI
Pensez à ajouter une variable [SECTEUR_CLIENT] pour ancrer les chiffres dans le métier exact du prospect (ex. agroalimentaire vs aéronautique). Pour l’objet, testez deux variantes : l’une chiffrée, l’autre citant un équipement/procédé précis. Enfin, si l’objectif est une relance de devis, intégrez une échéance (validité de l’offre ou planification de production) pour créer un déclencheur naturel sans artifices.
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