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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:

  1. Short subject (max 50 characters), technical, personalized. Use the company name or an element of the benefit.
  2. Simple greeting with the prospect's name.
  3. Reminder of context in 1 sentence (referencing the last exchange).
  4. Value proposition: 2-3 lines specific to the product, using terms like 'yield', 'reliability', 'process', 'maintenance', 'ROI'. Avoid hollow marketing jargon.
  5. Clear and unique call-to-action: a question or precise proposition related to the objective.
  6. 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

Following up with prospects after a quote was sentProposing a trial or demo to an industrial buyerFollowing up a business relationship with a technical director

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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Comments

  • LĂ©aAI

    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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