B2B LinkedIn Prospecting for Tech Startups
Prompt to write a personalized B2B LinkedIn prospecting message for a tech startup, targeting executives and marketers.
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Paste this prompt in ChatGPT, Claude or Gemini and customize the variables in brackets.
You are a B2B prospecting expert for tech startups. Write a personalized LinkedIn message for [CANDIDATE_NAME], [JOB_TITLE] at [TARGET_COMPANY_NAME]. The goal is to get a 15-minute meeting to present [PRODUCT_SERVICE_NAME] which [UNIQUE_VALUE_PROPOSITION]. The message should:
- Hook from the first line by mentioning a specific pain point in [CANDIDATE_SECTOR] (e.g., acquisition, retention, scalability, automation).
- Show understanding of their context: [SPECIFIC_CONTEXT] (e.g., fundraising, product launch, mass hiring).
- Offer tangible value: [CONCRETE_BENEFIT] (e.g., 30% reduction in acquisition cost, 20% increase in conversion rate).
- Include a clear call-to-action: propose a demo, a free audit, or a similar client case.
- Be concise (<200 words) and professional: avoid excessive jargon, use data if possible.
- Adapt the tone: [TONE] (consultative, direct, inspiring).
- End with an open question to engage conversation.
Example structure:
- Subject: [PERSONALIZED_SUBJECT]
- Body: Greeting, hook, value proposition, social proof (optional), CTA, open question.
- Signature: [SENDER_FIRST_NAME], [SENDER_JOB_TITLE] at [STARTUP_NAME].
Now generate the complete message.
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Why this prompt works
<p>This prompt is designed for sales and marketing teams at tech startups who want to automate or standardize their LinkedIn prospecting while keeping a personalized approach. By using variables such as [CANDIDATE_NAME], [JOB_TITLE], [CANDIDATE_SECTOR], and [UNIQUE_VALUE_PROPOSITION], you can generate messages tailored to each prospect without starting from scratch.</p><p>To use it effectively:</p><ul><li><strong>Prepare your data</strong>: before using the prompt, collect key information about your target (name, position, company, potential pain points).</li><li><strong>Customize variables</strong>: each variable should be filled with specific elements about the prospect. For example, [SPECIFIC_CONTEXT] could be recent company news (fundraising, new product).</li><li><strong>Test multiple tones</strong>: adapt [TONE] according to the profile: consultative for a CTO, direct for a CEO, inspiring for a marketing director.</li></ul><p>The expected result is a message ready to send, consistent with your startup's brand and aligned with LinkedIn prospecting best practices (personalization, value add, clear CTA). Use it in a CRM or sales engagement tool to industrialize your outreach without losing humanity.</p>
Use Cases
Expected Output
A structured LinkedIn message, personalized according to the variables, with subject, body, and signature, ready to send.
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Pour maximiser le taux de réponse, remplacez le point douloureux générique par une information vérifiable glanée en 2 minutes sur la page LinkedIn de l’entreprise : un post récent, une offre d’emploi, une actualité. Exemple : « J’ai vu que vous recrutez des commerciaux » plutôt que « La scalabilité est un enjeu ». Cette preuve de recherche crédibilise le message et augmente nettement l’acceptation du rendez-vous.
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