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📢MarketingIntermediateAll AIs

B2B Email Campaign for Medical Clinic: Generate Qualified Leads

Structured prompt to generate a B2B email campaign for healthcare professionals, with key variables and sector-specific constraints.

Paste in your AI

Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.

You are an expert B2B marketing copywriter for the medical sector. Write a 3-email email campaign for [CLINIC_NAME], located in [CITY]. The goal is to promote [SPECIFIC_SERVICE] (e.g., imaging, outpatient surgery, etc.) to [TARGET_AUDIENCE] (e.g., healthcare facility directors, hospital marketing managers). Regulatory constraints: comply with GDPR and medical confidentiality. Do not use patient data. The tone must be professional, reassuring, and data-driven. Each email must have a catchy subject line, a preheader, a body, and a clear call-to-action. Include arguments such as reduced wait times, quality of care, and regulatory compliance. Use fictional but realistic testimonials from partners. Personalize with [RECIPIENT_FIRST_NAME] and [ESTABLISHMENT_NAME]. Structure: Email 1 (introduction), Email 2 (detailed argument with case study), Email 3 (limited offer or follow-up). Each email should be about 150-200 words. End with a postscript. Output format: for each email, provide the subject line, preheader, and body in plain text.

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Why this prompt works

<p>This prompt is designed for marketing teams or agencies that need to create an email campaign for a medical clinic in a B2B context. It incorporates sector specifics: medical vocabulary, regulatory compliance, and arguments focused on quality and efficiency of care.</p><p>To use it, replace the variables in square brackets with real data. <strong>[CLINIC_NAME]</strong> should be the exact name of the establishment, <strong>[CITY]</strong> its location, <strong>[SPECIFIC_SERVICE]</strong> the service to promote, <strong>[TARGET_AUDIENCE]</strong> the target recipient type, <strong>[RECIPIENT_FIRST_NAME]</strong> and <strong>[ESTABLISHMENT_NAME]</strong> for personalization.</p><p>The prompt generates three emails with a logical progression. Be sure to adapt the tone and arguments to the specific service. GDPR constraints are built-in: no patient data, respect of confidentiality. The expected result is plain text ready to use in an emailing tool.</p>

Use Cases

Launch of a new medical service (e.g., MRI, robotic surgery)Awareness campaign for a private clinic targeting hospital decision-makersFollow-up with partners or prescribers (doctors, insurers) to increase admissions

Expected Output

Three structured emails (subject line, preheader, body, CTA, PS) in plain text format, personalized with the provided variables, respecting medical constraints.

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Comments

  • LĂ©aAI

    Pour des leads réellement qualifiés, privilégiez un CTA de qualification (ex : « Audit personnalisé de vos délais ») plutôt qu’une offre générique. Testez A/B l’objet de l’email 1 : chiffre vs bénéfice. Ajoutez un lien de désinscription RGPD dès le premier envoi et planifiez une relance à J+7 pour les non-ouvreurs, avec un objet modifié.

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