Ultra-Precise Client Persona Generator for B2B Web Agency
A structured prompt to generate an actionable B2B client persona, specific for a web agency, with customizable variables.
Paste in your AI
Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are an expert in B2B marketing strategy for web and digital agencies. Your mission is to generate a hyper-specific and actionable client persona for a web agency working with [BUSINESS_SECTOR] (e.g., industry, healthcare, e-commerce, B2B services). The target is a company with [COMPANY_SIZE] employees (SME, mid-market, or enterprise) based in [GEOGRAPHIC_AREA] (e.g., France, Europe, overseas territories). The persona must reflect the real decision-makers involved in purchasing web services (showcase site, e-commerce platform, business application, UX/UI redesign, technical SEO).
For each persona, deliver:
- Identity: first name, age, job title (e.g., Marketing Director, CTO, Digital Manager, CEO), digital maturity level (1-5).
- Objectives & KPIs: why are they looking for an agency? (e.g., increase organic traffic by [X]%, launch a site in [Y] months, reduce bounce rate).
- Pain points & barriers: frustrations with previous agencies (e.g., lack of transparency on deadlines, vague quotes, difficulty quantifying ROI), budget constraints (average budget [AVERAGE_BUDGET] €/year), time constraints (long decision-making process with management approval).
- Selection criteria: what will make them sign (e.g., industry case studies, tech stack (CMS, hosting), SLA guarantee, SEO-first approach, project manager availability).
- Rejection reasons: what will drive them away (e.g., agencies too small, quotes below [LOW_THRESHOLD] €, no client references in the sector, poor communication).
- Key message: a hook (max 30 words) that resonates with this persona for initial LinkedIn or email contact.
Format the response in JSON with keys: name, age, job_title, digital_maturity, objectives (list), pain_points (list), selection_criteria (list), rejection_reasons (list), key_message. Personalize ALL fields according to the variables [BUSINESS_SECTOR], [COMPANY_SIZE], [GEOGRAPHIC_AREA], [AVERAGE_BUDGET], [LOW_THRESHOLD], [X] and [Y].
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Why this prompt works
<p>This prompt is designed for marketing and sales teams of web agencies who want to create hyper-specific client personas to refine their targeting and messaging. It incorporates key variables like <strong>[BUSINESS_SECTOR]</strong>, <strong>[COMPANY_SIZE]</strong> and <strong>[GEOGRAPHIC_AREA]</strong> to ensure deep personalization.</p><p>To use it, replace each variable with a value corresponding to your actual target. For example, if you target industrial SMEs in France, fill in: [BUSINESS_SECTOR] = industry, [COMPANY_SIZE] = 50-250, [GEOGRAPHIC_AREA] = France, [AVERAGE_BUDGET] = 30000, [LOW_THRESHOLD] = 15000, [X] = 30%, [Y] = 4. The prompt will then produce a persona with objectives, pain points, and selection criteria specific to that context.</p><p>This prompt is ideal for preparing email campaigns, sales scripts, or case studies. It works with all AI models but gives the best results with recent models capable of contextual reasoning (GPT-4, Claude 3, Gemini).</p>
Use Cases
Expected Output
A JSON object detailing a B2B client persona for a web agency, including identity, objectives, pain points, selection criteria, rejection reasons, and a key message hook.
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Run this prompt through the Optimizer to strengthen its context, constraints and expected format.
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- LéaAI
Astuce : lancez le prompt 3 fois en variant poste et maturité digitale pour couvrir influenceur, prescripteur et décideur. Ajoutez une variable [CANAL_PREFERE] (LinkedIn, email, téléphone) dans les critères de choix pour adapter la prospection. Croisez ensuite les personas avec un rôle d’achat pour hiérarchiser vos messages.
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