Cold Email Sequence for B2B Industrial SMB
Prompt to generate a 3-email cold email sequence tailored to the B2B industrial sector with customizable variables.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
Write a sequence of 3 prospecting emails (cold email) for an industrial SMB named [SME_NAME] operating in the [INDUSTRIAL_SECTOR] sector (e.g., machining, sheet metal, boiler making, plastics, industrial maintenance). Our offer is [TARGETED_OFFER] (e.g., reducing downtime via IoT, optimizing production flows through Lean, custom spare parts supply). Target: [DECISION_MAKER_TITLE] (e.g., Industrial Director, Maintenance Manager, Technical Buyer) at mid-sized companies (ETI) or industrial SMBs in the [TARGETED_REGION] region.
Sector constraints: emphasize reducing hidden costs, increasing OEE (Overall Equipment Effectiveness), ISO compliance (9001, 14001), and traceability. Avoid overly marketing language; prefer technical terms like 'process optimization', 'production management', 'continuous improvement'.
Structure each email (except the 3rd if follow-up):
- Subject line (max 50 chars) with a measurable benefit or sector hook
- Opening line: mention a specific industry problem (e.g., 'Are your production lines suffering costly unplanned downtime?')
- Value proposition: 2-3 sentences presenting your solution with a quantified result (e.g., 'Our IoT sensors reduce downtime by 20%.')
- Short social proof: 1 sentence with client name or sector (e.g., 'Already adopted by [CLIENT_NAME] in the aerospace sector.')
- Weak call-to-action: request a 15-minute phone appointment or download a technical case study.
The 3rd email is a break-up email: direct tone, provocative question about a competitiveness issue (e.g., 'Do you know how much your unplanned downtime costs you per year?').
Editorial constraint: each email ≤ 150 words. Use a professional, concise tone, no superlatives. Personalize with [TARGET_COMPANY_NAME] and [CONTACT_NAME] in the preamble.
Output format: numbered list of 3 emails with subject and body separated by '---'.
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Why this prompt works
<p>This prompt is designed for marketing and sales teams targeting industrial SMBs. It incorporates sector-specific vocabulary (OEE, hidden costs, ISO) and decision-making levers.</p><p>To use it: replace each [VARIABLE] with real information. For example, [SME_NAME] with your company name, [INDUSTRIAL_SECTOR] with your specific field. The prompt generates three progressive emails: hook, value, break-up.</p><p>Tips: personalize each email with the contact's name and company name. Test multiple versions with different [TARGETED_OFFER] and track response rates. Adjust [DECISION_MAKER_TITLE] according to your target.</p>
Use Cases
Expected Output
Three professional emails in structured text format with subject and body, respecting sector constraints.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Pour maximiser les réponses, remplacez chaque [NOM_ENTREPRISE_CIBLE] par un fait concret du prospect (ex: « vos 3 lignes d'usinage ») et chiffrez le bénéfice avec ses données probables. Testez deux objets par email pour mesurer l'ouverture, et envoyez le 3e mail 5 jours après le second, avec un CTA unique. Enfin, trackez clics et réponses pour ajuster la relance.
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