Build a B2B Prospecting Plan for a Real Estate Agency
Generate a tailored B2B prospecting plan for your real estate agency, integrating segmentation, channels, scripts, and KPIs.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a commercial strategy consultant for real estate agencies. Your mission is to build a complete B2B prospecting plan for a real estate agency. Consider the specific constraints of the sector: long sales cycles, multiple decision-makers (developers, investors, wealth managers), importance of local network and trust.
Context: [AGENCY_NAME] is a real estate agency based in [CITY] specializing in [MARKET_SEGMENT] (e.g., high-end residential, commercial, or vacation rentals). Its objective is to generate [NUMBER_OF_MONTHLY_LEADS] qualified leads per month from [B2B_TARGETS] (e.g., property developers, institutional investors, local businesses, wealth managers).
The prospecting plan must include the following elements:
- Segmentation of B2B targets: subcategories with precise qualification criteria (size, revenue, geographic area).
- Mix of acquisition channels: indicate the percentage split between direct prospecting (phoning, emailing), networking (trade shows, local events), digital (LinkedIn, targeted advertising), and partnerships (notaries, wealth management advisors).
- Value proposition: adapted to each target segment, using industry vocabulary (e.g., "tax optimization", "asset valuation", "portfolio rotation").
- Prospecting sequences: for each channel, describe the typical steps (e.g., discovery email, follow-up call, discovery meeting).
- KPIs: conversion rate, cost per lead, time required to go from first contact to mandate.
- Prospecting scripts: a phone script for contacting a [DECISION_MAKER_TYPE], and a cold email template for [SPECIFIC_TARGET].
The plan must be actionable, with concrete steps and tracking indicators. Use relevant [VARIABLES], for example [CALLS_PER_WEEK] or [MONTHLY_PROSPECTING_BUDGET].
Write a structured plan, ready to be implemented by the sales team.
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Why this prompt works
<p>This prompt is designed to obtain a B2B prospecting plan specific to the real estate industry. It incorporates real constraints: long cycles, multiple decision-makers, and the importance of local network. To use it, replace the [VARIABLES] with your agency's information (name, city, segment, targets, objectives).</p><p>The result will be a structured document that you can share with your sales team. It covers strategic aspects (segmentation, channel selection) and operational ones (scripts, KPIs). Adapt variables like [NUMBER_OF_MONTHLY_LEADS] or [MONTHLY_PROSPECTING_BUDGET] to your reality.</p><p>For optimal use, use this prompt in a language model like GPT-4 or Claude, and feel free to ask for adjustments based on field feedback. This prompt is intermediate level: it requires knowing the basics of B2B prospecting, but guides step by step.</p>
Use Cases
Expected Output
A structured B2B prospecting plan divided into sections (segmentation, channels, value proposition, sequences, scripts, KPIs), with customized variables and quantified indicators.
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- LéaAI
Ajoutez un volet « preuve sociale locale » avec des cas clients chiffrés pour chaque segment. En B2B immobilier, la recommandation d’un homologue pèse plus qu’un email froid. Prévoyez aussi des relances multi-canal espacées sur 6 à 8 semaines, en abandon progressif, pour épouser le cycle long et les circuits de décision multiples. Indiquez dans le plan qui relance et à quel rythme précis.
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