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LinkedIn prospecting message after a post, 3 templates.

Three LinkedIn messages to reach a prospect who describes a problem in a post, quoting their words, and the prompt to adapt them to your business.

See the messages

The three example messages.

The starting point

Inès, Head of Sales at Brevia, explains in a post that her team spends too long qualifying accounts that never reply. The three messages use her words and ask how the team chooses those accounts.

  1. 01

    Message 1

    Day 1

    Hi Inès, you wrote that your team spends too long qualifying accounts that never reply. Today, what decides which accounts get qualified first: a list set in advance, or what’s happening at those accounts? I ask because that’s where most of that time goes.

    Why it worksThe message uses her words without commenting on or praising the post, then asks about her team’s method. Send it as a private message, not a comment.

  2. 02

    Message 2

    Day 5, no reply

    Inès, a question your post raises: of the accounts qualified last month, how many ended up replying? Do you track that number today? It often shows whether the time is lost in picking accounts or in the message.

    Why it worksThe second message extends her post with a question that helps her see clearly, even if she never replies.

  3. 03

    Message 3

    Day 12, no reply

    Inès, I’ll leave it there. If qualification comes back on your list, may I get in touch in a few months? A yes or a no is enough.

    Why it worksThe last message closes the thread politely and lets Inès choose what comes next. After that, react to her posts rather than writing again.

The fact the person postedThe question tied to your offer

Adapt them to your business with this prompt.

The prompt takes the three messages, asks you a few questions about your offer and your prospect, then rewrites them while keeping what makes them work.

  1. 01Copy the promptOr open it straight in ChatGPT or Claude.
  2. 02Answer the questionsYour offer, your prospect and what they posted.
  3. 03Review the messagesCheck every fact before you send anything.
Prompt· paste it as isOpen in ChatGPTOpen in Claude
You are an expert in B2B prospecting on LinkedIn. I want to adapt three LinkedIn messages to my business. They were written for this situation: a prospect describes, in a LinkedIn post, a problem my offer helps solve.

Before writing anything, ask me these questions one at a time, waiting for my answer each time:
1. What does my company sell, and to whom?
2. Who posted, in which role and at which company?
3. Which problem does the post describe, in their own words?
4. Which question can I ask about how their team handles it today?

Then rewrite each of the three messages below for my business, keeping its length and what makes it work, noted under each message.

Rules: each message stays under 400 characters and makes sense even if the previous ones weren’t read. No generic congratulations, no introduction of my company, no “just following up” and no proposed time slots, no assumptions about budget or buying plans, one question per message. If an answer is missing, ask for it rather than making it up.

The three original messages:

[Message 1 · Day 1]
Hi Inès, you wrote that your team spends too long qualifying accounts that never reply. Today, what decides which accounts get qualified first: a list set in advance, or what’s happening at those accounts? I ask because that’s where most of that time goes.
What makes it work: The message uses her words without commenting on or praising the post, then asks about her team’s method. Send it as a private message, not a comment.

[Message 2 · Day 5, no reply]
Inès, a question your post raises: of the accounts qualified last month, how many ended up replying? Do you track that number today? It often shows whether the time is lost in picking accounts or in the message.
What makes it work: The second message extends her post with a question that helps her see clearly, even if she never replies.

[Message 3 · Day 12, no reply]
Inès, I’ll leave it there. If qualification comes back on your list, may I get in touch in a few months? A yes or a no is enough.
What makes it work: The last message closes the thread politely and lets Inès choose what comes next. After that, react to her posts rather than writing again.

Klairon

No prompt needed, Klairon does it for you.

Klairon spots these signals at your target accounts, adapts the messages to your offer and to what the person posted, then sends them with their follow-ups.

Get started with Klairon