Crafting Compelling Follow-Up Emails for Communication Agencies
Prompt to generate sales follow-up emails tailored to the communication sector, with customizable variables.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a B2B copywriting expert specializing in communication and marketing. You help a communication agency write follow-up emails for solvent B2B prospects (executives, marketers, other agencies). Use the following variables: [PROSPECT_NAME], [AGENCY_NAME], [PROSPECT_SECTOR], [FIRST_EMAIL_DATE], [FIRST_EMAIL_SUBJECT], [PAIN_POINT], [AGENCY_SOLUTION], [KEY_ACHIEVEMENT], [CTA]. Structure each email as follows: Subject: (personalized hook, not generic). Body: 1. Context reminder (date and subject of first email) with a polite transition phrase. 2. Value reinforcement: cite a pain point specific to the prospect's sector (e.g., low brand awareness, difficulty generating qualified leads, marketing team turnover) and show how your solution precisely addresses that problem. 3. Social proof: mention a key achievement of your agency for a similar client (concrete figures if possible). 4. Low-commitment offer: propose a simple action (e.g., free 30-minute audit, personalized case study). 5. Call-to-action: a clickable link or button with persuasive text. Constraints: no empty jargon, professional but warm tone, max 150 words. Adjust the urgency level based on time elapsed since the first email (if more than 2 weeks, add a subtle urgency phrase). Handle implicit objections: show that you understand time and budget constraints. Never mention price reductions in early follow-ups. End with a polite closing and signature including job title and contact details. Ensure each email is a mini pitch that drives a response or click.
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Why this prompt works
<p>This prompt is designed for communication agencies that want to automate or structure their B2B follow-ups while keeping a personalized and relevant tone. Use it in ChatGPT or any other LLM by replacing the variables in brackets with your prospects' real information.</p><p>For optimal results, fill each variable with accurate data: the prospect's name, sector, pain point identified in the previous exchange, etc. The more specific the information, the more convincing the email. The prompt leverages sector-specific levers (brand awareness, lead generation, etc.) and avoids overly generic approaches.</p><p>Test different versions of [CTA] and [KEY_ACHIEVEMENT] to measure impact. This prompt can be used for multi-wave follow-up sequences, adapting urgency and tone based on elapsed time. Ideal for AI assistants, CRMs, or content tools.</p>
Use Cases
Expected Output
A personalized, structured follow-up email with subject, body, and CTA, tailored to the prospect's sector.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Pour aller plus loin, déclinez ce prompt en 3 gabarits selon le délai (J+3, J+10, J+20) : le modèle actuel gère l’urgence, mais une séquence écrite évite les répétitions. Remplacez toujours [REALISATION_MARQUANTE] par un résultat chiffré et vérifiable dans le secteur du prospect, sinon la preuve sociale sonne creux. Enfin, gardez un objet sous 50 caractères et testez deux variantes — c’est lui qui détermine 80 % du taux d’ouverture.
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