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.
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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
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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- 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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