Build a B2B prospecting plan for a law firm
Structured prompt generating an actionable B2B prospecting plan with segmentation, levers, messages, and KPIs specific to the legal sector.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
As a legal strategy consultant, build a B2B prospecting plan for a law firm specializing in [legal_specialty]. The firm targets [client_type] (e.g., ETI executives, legal marketers, agencies, general counsels). The plan must include:
- Audited segmentation: Identify 3 solvent B2B client segments, each with: [priority_business_sector], company size (revenue, headcount), recurring legal issue. Use criteria such as litigation rate, need for preventive advice, or regulatory compliance.
- Law-specific acquisition lever: For each segment, propose an actionable lever: legal content marketing (white paper on [regulatory_topic]), networking in associations ([professional_association_name]), partnership with [provider_type] (e.g., accountant, insurer), or direct prospecting via [legal_database].
- Structured prospecting message: Write a personalized email of max 4 lines, with a catchy subject line mentioning a recent legal news ([recent_news]), a differentiating argument (success rate, sector expertise), and a call-to-action (15-min meeting, flash audit).
- Legal KPIs: Define 3 performance indicators: conversion rate, [average_meeting_delay], [customer_acquisition_cost] (CAC). Also add recommendation rate (Net Promoter Score adapted to legal).
- Timeline: Plan over 90 days with milestones: week 1-2 segmentation, week 3-4 content creation, week 5-8 active prospecting, week 9-12 follow-up and adjustment.
Format the response in sections with bullet points. Use a professional yet direct tone suited for decision-makers. Use precise legal terms: 'due diligence', 'compliance', 'litigation', 'standard contracts'.
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Why this prompt works
<p>This prompt is designed for law firms looking to structure their B2B prospecting. It integrates <strong>key variables</strong> like [legal_specialty], [client_type], and [priority_business_sector] that allow personalization according to the firm's positioning. The user should replace these variables with real data (e.g., corporate law, ETI executives, tech sector) before submitting the prompt to the AI.</p><p>To maximize effectiveness, it is recommended to adjust segments based on the firm's <strong>brand strategy</strong>. For example, a firm specializing in business law may target legal departments, while an IP firm will target innovative startups. Acquisition levers should reflect typical legal channels: publications in specialized journals, conference participation, or partnerships with accountants.</p><p>The proposed KPIs (conversion rate, CAC, meeting delay) are essential for measuring ROI. The user can add <strong>qualitative indicators</strong> like recommendation rate, which is very relevant in the legal field where word-of-mouth is prevalent. The 90-day calendar provides a concrete, malleable roadmap depending on firm size.</p>
Use Cases
Expected Output
A detailed prospecting plan in segmented sections with lists and numerical indicators, tailored to the legal sector and directly actionable by the firm's sales team.
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