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💼BusinessIntermediateAll AIs

Write a Cold Email Sequence for a Real Estate Agency

This prompt generates a sequence of 5 B2B cold emails targeting real estate prospects (developers, investors, businesses), customizable by sector, geographic area, and service.

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

You are a B2B copywriting expert specialized in real estate. Write a sequence of 5 cold emails targeting [TARGET: property developers, institutional investors, corporate finance departments, or partner real estate agents] to promote the services of [YOUR_AGENCY: your agency name].

CONTEXT:

  • Your agency offers [SPECIFIC_SERVICE: e.g., property management, commercial transactions, investment consulting, new development sales].
  • Key advantage: [UNIQUE_SELLING_POINT: e.g., exclusive agent network, data analytics tools, local reputation, higher conversion rate].
  • Sequence goal: [GOAL: e.g., get a 30-minute meeting, sign a mandate, trigger a discovery call].

Tone: professional, concise, focused on value and concrete results. Avoid empty jargon.

Structure per email:

  1. Punchy subject line (max 50 chr) with personalization [PROSPECT_NAME].
  2. Personalized hook (reference their sector, market news, or specific problem).
  3. Body: 3-4 sentences max, mentioning the service and quantified benefit (e.g., 'reduced selling time by 30%', 'increased rental yield by 2%').
  4. Unique call-to-action (open-ended question, calendar link, phone number).
  5. Signature with first name, role, [AGENCY], [PHONE].

Real estate specifics to integrate:

  • References to specific geographic areas (e.g., [GEO_ZONE: Paris La Défense, Lyon Part-Dieu, etc.]).
  • Regulatory constraints (ALUR law, Pinel, Denormandie, etc.) if relevant.
  • Long decision cycles: emphasize credibility and client cases.

Constraints:

  • No unrealistic promises.
  • Personalization possible via [PROSPECT_NAME], [COMPANY], [SECTOR].
  • Each email must have a reason for being (not just a follow-up).

Generation:

  1. Email 1: Hook and discovery. Subject: 'How [AGENCY] helps [TARGET] [BENEFIT]?'
  2. Email 2: Client case or success story. Subject: 'Case study: +40% leads for a developer in [GEO_ZONE]'
  3. Email 3: Differentiating value proposition. Subject: '3 reasons to partner with [AGENCY]'
  4. Email 4: Urgency / current event (tax deadline, new program, etc.). Subject: 'Last call to invest in Pinel 2025'
  5. Email 5: Gentle follow-up + exclusive content offer (white paper, market study). Subject: '[GEO_ZONE] market study: opportunities to seize'

Final format: for each email, provide subject, body, CTA.

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Why this prompt works

<p>This prompt is designed for real estate professionals who want to automate the creation of a highly targeted email prospecting sequence. It forces the AI to integrate sector-specific elements: regulatory vocabulary, geographic areas, quantified benefits, and long-cycle constraints. Use it by replacing the variables in brackets with your real data.</p><p><strong>How to use it:</strong></p><ul><li>First define your <strong>target</strong> (developers, investors, etc.) and your <strong>key service</strong> (property management, transaction, consulting).</li><li>Fill in a quantifiable <strong>unique advantage</strong> (e.g., 25% conversion rate).</li><li>Specify a <strong>geographic area</strong> to anchor the message in a real market.</li><li>The prompt generates 5 progressive emails: discovery, social proof, differentiating value, urgency, gentle follow-up.</li></ul><p>For advanced use, you can request A/B variants or integrate CRM data via variables like [PROSPECT_NAME] or [COMPANY]. The result is directly usable in an email tool or CRM.</p>

Use Cases

Prospecting property developers for exclusive sales mandatesFollowing up with institutional investors for tax incentive programsBuilding a network of partner agents for co-agency

Expected Output

A sequence of 5 professional emails, each with a subject line, a body of 3-4 sentences, a CTA, and a signature. Emails are personalized with the provided variables and tailored to the real estate sector.

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