---
title: "How to Get Leads From LinkedIn Posts Months Later | traxy"
description: "Yes, you can get leads from LinkedIn posts published months ago. Add old posts by URL, keep engagers who fit your ICP and reach them with the post as context."
canonical: "https://traxy.ai/blog/leads-from-old-linkedin-posts"
last_updated: "2026-11-12"
---

# How to Get Leads From LinkedIn Posts Months Later | traxy

> Yes, you can get leads from LinkedIn posts published months ago. Add old posts by URL, keep engagers who fit your ICP and reach them with the post as context.

[Home](https://traxy.ai/) [Blog](https://traxy.ai/blog) [LinkedIn Lead Generation](https://traxy.ai/blog/topics/linkedin-lead-generation) 

Lead generation

# How to get leads from LinkedIn posts you published months ago

Yes, you can get leads from LinkedIn posts published months ago. Add old posts by URL, keep engagers who fit your ICP and reach them with the post as context.

By the traxy teamPublished Nov 12, 202614 min read

![How to get leads from LinkedIn posts you published months ago — traxy blog](https://traxy.ai/assets/blog-covers/leads-from-old-linkedin-posts.jpg)

**In this article**[Can I get leads from LinkedIn posts I published months ago?](https://traxy.ai/blog/leads-from-old-linkedin-posts#can-i-get-leads-from-linkedin-posts-i-published-months-ago) [Why your back catalog still holds buyers](https://traxy.ai/blog/leads-from-old-linkedin-posts#why-your-back-catalog-still-holds-buyers) [Which old posts to pick first](https://traxy.ai/blog/leads-from-old-linkedin-posts#which-old-posts-to-pick-first) [How do you add past posts by URL in traxy?](https://traxy.ai/blog/leads-from-old-linkedin-posts#how-do-you-add-past-posts-by-url-in-traxy) [Writing to someone about a post from months ago](https://traxy.ai/blog/leads-from-old-linkedin-posts#writing-to-someone-about-a-post-from-months-ago) [How does the campaign reach them?](https://traxy.ai/blog/leads-from-old-linkedin-posts#how-does-the-campaign-reach-them) [What Vamo got from 64 old posts](https://traxy.ai/blog/leads-from-old-linkedin-posts#what-vamo-got-from-64-old-posts) [What are the limits?](https://traxy.ai/blog/leads-from-old-linkedin-posts#what-are-the-limits) [FAQ](https://traxy.ai/blog/leads-from-old-linkedin-posts#faq) [Related reading](https://traxy.ai/blog/leads-from-old-linkedin-posts#related-reading) [Open product docs](https://docs.traxy.ai/) 

**TL;DR: Yes. The people who liked or commented on your LinkedIn posts months ago are still listed on those posts, and many of them still fit the buyer you sell to. In traxy you paste the URLs of your past posts into Tracking (or into trax, the traxy agent), traxy keeps only the engagers with a 50%+ ICP match and shows the post behind each one, and a LinkedIn or email campaign reaches them with the post as context after you approve it. Vamo did this with 64 posts it had already published and got 14 replies and 11 meetings without writing a new post.**

traxy, which publishes this guide, runs your entire LinkedIn GTM end to end, from finding high intent leads from social intent to enriching and researching each one, to running relevant, personalized LinkedIn and email outreach to them on autopilot. You test a campaign on sample leads and approve it once, and then it runs, or you approve every message. Product steps below come from the [traxy docs](https://docs.traxy.ai/discovery/tracking)  and the [traxy use cases page](https://traxy.ai/use-cases) , checked November 2026.

## Can I get leads from LinkedIn posts I published months ago?

Yes. The likes and comments on an old post stay on it, so you can pull those engagers, keep the ones who fit your ICP and reach them with a message that names the post.

The one thing to know in traxy is how tracking treats time. When you track your own profile, traxy checks your recent posts and then follows the five most recent posts published after you added it. Anything older goes in as a single post, one URL at a time. That is the core of mining a back catalog: you pick the old posts on purpose and add them by URL.

The full workflow, which the rest of this guide walks through:

1.  **Pick the old posts worth mining.** Posts about the problem you solve beat broad or personal posts.
    
2.  **Set your lead criteria.** traxy needs to know who fits before it can sort engagers.
    
3.  **Add each post by URL.** In Tracking, or by pasting the URL into trax.
    
4.  **Review the leads.** Only people with a 50%+ ICP match become leads, and each one shows the like or comment behind it.
    
5.  **Look up work emails** for the leads you plan to email.
    
6.  **Build a campaign** with research on each lead. traxy groups leads by signal and gives each group its own message variant.
    
7.  **Test it on sample leads** with nothing sent, check the launch review and approve.
    
8.  **Handle replies** in one inbox. Replies, unsubscribes and hard bounces stop the sequence.
    

## Why your back catalog still holds buyers

A post is a public record of who cared about a topic. If you have posted about your buyer's problem for a year, each of those posts holds a list of people who stopped, read and reacted. Most teams look at that list once, in the first hour, and never again.

Three things make the old list worth a second look:

-   **Posts keep collecting engagement after the first day.** Richard van der Blom's November 2026 data puts 85 percent of a post's reach after its first two hours ([when to pull leads from a post](https://traxy.ai/blog/linkedin-post-reach-after-first-two-hours) ). If you checked a post an hour after it went live, most of the people who engaged with it came later and you never saw them.
    
-   **Nobody had time to read every engager.** Vamo's founder drew likes and comments from recruiters and hiring teams, the exact people Vamo sells to, but sorting them meant reading every post and guessing who was worth a message. Vamo describes about four months of leads sitting stalled ([Vamo case study](https://traxy.ai/case-studies/vamo) ).
    
-   **The engagement was about your topic.** Someone who commented on your post about hiring a first sales team told you, in public, that the subject matters to them. That is a better reason to write than a purchased list gives you.
    

Time does change some things. People move jobs, a problem they had in spring may be solved by autumn, and nobody remembers every post they liked. So an old engager needs two extra checks before you write: does the person still fit, and does the message say honestly when and where you saw them. Both are covered below.

Keep one more point in mind. A like is interest in a topic, not a decision to buy. The ICP match tells you the person fits; the post tells you what they cared about. Neither tells you they have budget this quarter. For more on that split, see [ICP match vs signal strength](https://traxy.ai/blog/icp-match-score-vs-signal-strength) .

## Which old posts to pick first

Start with the posts whose topic is closest to what you sell and whose comments came from people in your buyer roles. Leave broad, personal or viral posts for later, because they draw the widest crowd and the fewest buyers.

Kind of old post

Add it first?

Why

A post about the problem you solve

Yes

Engagers raised their hand on your exact topic, so the opener writes itself.

A post where you offered a template, checklist or teardown

Yes

Commenters asked for something, which is a clear reason to follow up.

A post with comments from people in your buyer roles

Yes

Comments give you their own words to read and quote back.

A how-we-did-it story from a customer project

Usually

Draws peers as well as buyers; the ICP match sorts them.

A hiring post, a personal milestone or a viral opinion

Later

Large audiences of peers, job seekers and vendors, with few buyers.

A few working rules:

-   **Work back from the most recent.** Start with posts from the last few months so your first batch has the freshest context, then go further back once you see what works.
    
-   **Group posts by topic.** Ten posts about the same problem give you one audience and one message angle. Ten posts on ten topics give you ten small groups.
    
-   **Include your team's posts.** Any LinkedIn post can go in by URL, so a cofounder's or a sales lead's old posts work the same way ([leads from your team's LinkedIn posts](https://traxy.ai/blog/leads-from-team-linkedin-posts) ).
    
-   **Use Insights to choose the next batch.** After the first posts are in, Insights shows lead volume, trends and the top posts bringing in leads. Add more old posts on the topics that produced the most fitting leads.
    

## How do you add past posts by URL in traxy?

Open Targeting, choose Single posts under Tracking, pick Track post from the New menu, paste the post URL and confirm Find leads. Or paste the URL into trax and say you want the post's audience.

### Before you add posts: set who fits

traxy can only sort engagers if it knows your buyer. If you set up traxy from your website, it already drafted your lead criteria and signals. Check them under **Targeting > Lead criteria**: roles, departments, seniority and locations for people, and size, industry and keywords for companies, plus exclusions for the people you never want, such as competitors or your own customers. Then check **Targeting > Signals** for the topics and problems that make a lead relevant.

### Add each old post

1.  **Copy the post URL** from LinkedIn (the post's menu has a copy link option).
    
2.  **Open Targeting** and choose **Single posts** under Tracking.
    
3.  **Choose Track post** from the **New** menu and paste the URL.
    
4.  **Review the candidate scope** before you confirm. The docs say candidate counts describe people to evaluate, not a guaranteed number of qualified leads.
    
5.  **Confirm Find leads.** Processing can take a while, so check the result before you submit the same post again.
    

With trax, paste the URL into the chat and say you want the post's audience. trax shows an approval card with the proposed values before anything runs, and you approve or decline it. From Claude, ChatGPT or another AI client connected through the [traxy MCP](https://traxy.ai/linkedin-mcp) , you can ask it to qualify the audience of one LinkedIn post, and it asks you to confirm the capacity use first.

### What you get back

-   **Only fitting people.** A person becomes a lead only with a 50%+ match to your ICP. Each lead is labeled Warm, Related or Activity.
    
-   **The source on every lead.** The lead's Signals tab shows the like or comment that put them on your list, with the post and the date. Check it before you use it in a message.
    
-   **Per-post results.** Open a post under Single posts to see its qualified leads.
    
-   **Repeat engagers.** The same person may have engaged with several of your old posts, so counts across posts can include them more than once. Use **Leads** to review the people themselves.
    

Qualified leads use your workspace's capacity. See [traxy pricing](https://traxy.ai/pricing)  for plans.

### Save the audience as a shared view

On the Leads page, filter to the leads from your old posts, then choose **Save as new view** and make it shared. Campaigns use shared views, and the view updates as leads change, so posts you add later flow into the same audience. Look up a work email for the leads you plan to email; traxy's [post URL to work email guide](https://traxy.ai/blog/linkedin-post-url-qualified-engagers-work-emails)  covers that order: qualify first, then look up emails only for the people who pass.

## Writing to someone about a post from months ago

Name the post and roughly when they engaged, make the message about the problem the post covered, and keep the ask small. Don't write as if they liked it yesterday.

The time gap is the main difference from messaging a fresh engager. Handle it in the open:

-   **Say when and where.** "You commented on my post about first sales hires back in June" is honest and gives the person a way to place you. Check the date on the lead's Signals tab first.
    
-   **Lead with the topic, not the like.** People don't remember every post they reacted to. They do remember the problem they had.
    
-   **Check what changed.** A campaign can research each lead for the facts you ask for, such as their current role or whether the company is hiring for the team your offer touches. When a required fact isn't found, the lead stays in traxy and you can choose to skip it in the campaign.
    
-   **Ask for one angle per topic.** traxy groups leads by signal and gives each group its own message variant, so you can ask for a different angle per topic.
    
-   **Keep the ask small.** Offer the follow-up resource, a short answer to the question they asked in the comments, or a quick call only if it fits.
    

Two example openers (made up, to show the shape):

-   **LinkedIn:** "Hi Dana, you commented on my post about hiring a first AE back in June, saying ramp time was the hard part. We've since written up how three founders cut that down. Want me to send it?"
    
-   **Email:** "Subject: your comment on first AE hires. Hi Dana, I found you through your comment on my LinkedIn post about first sales hires in June. You mentioned ramp time. Is that still the problem, or has it moved on?"
    

In an email, say where you found the person. A like or a comment isn't consent to email marketing, and the rules differ by country; read [emailing LinkedIn post engagers under GDPR](https://traxy.ai/blog/gdpr-emailing-linkedin-post-engagers)  before an email step goes to engagers in the EU or UK. For more openers, see [how to message LinkedIn post engagers](https://traxy.ai/blog/how-to-message-linkedin-post-engagers) .

## How does the campaign reach them?

A traxy campaign takes the shared view of your old-post leads, researches each lead, prepares personalized LinkedIn and email messages and sends them from your own connected sender accounts once you approve the launch. Here is the order, from the [campaign docs](https://docs.traxy.ai/campaigns/create) :

1.  **Connect your senders.** Under **Outbound > Sender accounts**, connect the LinkedIn accounts and mailboxes you send from. A sequence with both LinkedIn and email steps needs a sender name with both channels connected. Each sender has its own limits, active hours and ramp-up, and a campaign does not bypass them.
    
2.  **Create the campaign.** Choose **Outbound > Create campaign**, or ask trax. Pick the shared view as the audience, describe your offer and the research you need on each lead.
    
3.  **Build the sequence.** Steps can mix LinkedIn and email, and a wait can depend on an event such as connection acceptance.
    
4.  **Test on sample leads.** A test prepares the research and drafts for a few leads so you can read them. Nothing is sent.
    
5.  **Check the launch review.** Before launch you see who joins, who is skipped because another unfinished campaign holds them or a completed campaign contacted them before, the sender, the steps and the delivery mode.
    
6.  **Choose the delivery mode.** Approve every message in a review queue, or let the approved campaign send on its own.
    

That last step is what "on autopilot" means in traxy: after you test the campaign and approve the launch, it runs on its own. If you would rather read each message about a months-old post before it goes, use the review queue and approve messages one by one or with Approve all.

Once it runs, replies, unsubscribes and hard bounces stop the sequence, and you answer replies in one inbox. Campaigns run in priority order so one lead never gets two campaigns at once, which matters here: someone who engaged with an old post may already be in a campaign from a newer one. You can run many campaigns at once on different signals, for example one for your back catalog and one for people engaging with your new posts. You can pause or change a campaign anytime.

You can also run all of this from Claude, ChatGPT, Codex, Cursor or Grok through the traxy MCP: draft, test, launch, manage sequences and senders and reply in the inbox, with the AI asking for your yes before anything sends or launches. More on the outreach half: [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) .

## What Vamo got from 64 old posts

Vamo ran 64 posts it had already published through traxy and got 14 replies and 11 meetings without writing a new post. It saw its first lead 4 minutes in.

From the [Vamo case study](https://traxy.ai/case-studies/vamo)  (results reported by Vamo):

-   **The business.** Vamo, a technical recruiting company, finds engineers on GitHub and sells to recruiters, staffing firms and founders hiring engineers. Its buyers are on LinkedIn even though the engineers it sources are not.
    
-   **The problem.** The founder's posts drew recruiters and hiring teams, but sorting them meant reading every post and every commenter by hand. Vamo didn't want to message everyone, only people the message was relevant to, so most engagement went untouched. Vamo describes about four months of stalled leads.
    
-   **What they did.** traxy scanned the engagers on each of 64 old posts and flagged the ones who fit Vamo's ICP. Vamo exported the matched leads to a CSV and ran email sequences from it.
    
-   **The result.** 14 replies and 11 meetings from the first set of leads, a demo booked with a major company from a single traxy campaign, and the time to surface leads from a post cut in half.
    
-   **What came next.** They started with the founder's account, then added their new CEO, thought leaders and competitor audiences.
    

Gabe Granados, Founding Partnerships Lead at Vamo, put it this way: "We didn't even know what we were missing out on. We're doing all these posts, so we might as well have some intelligence on it."

Two lessons carry over. First, the posts were already written; the work was reading the engagement and acting on it. Second, Vamo moved from its own posts to other people's audiences once the first batch worked, which is the natural next step after a back catalog.

## What are the limits?

-   **Only visible engagement counts.** People who read a post without reacting leave no trace, so an engager list misses them.
    
-   **Candidates are not leads.** The candidate count on a post is the number of people traxy will evaluate. How many become leads depends on how many fit your ICP.
    
-   **Fit is not a buying decision.** A 50%+ ICP match says the person fits who you sell to. It is not a probability of purchase.
    
-   **Old engagement ages.** Some people will have changed roles or solved the problem. Research on each lead and an honest opener handle most of this; some leads will still be a miss.
    
-   **Capacity applies.** Qualified leads use your workspace's capacity, so prioritize the posts most likely to hold buyers.
    
-   **Sending needs connected accounts.** Outreach goes from the LinkedIn accounts and mailboxes you connect, within each sender's limits. traxy does not promise meetings, and no tool can promise zero LinkedIn restriction risk.
    
-   **Email rules vary by country.** Check your lawful basis before an email step reaches engagers in the EU or UK.
    

## FAQ

### How far back can I go with old LinkedIn posts?

Add the post by URL and review the candidate scope traxy shows before you confirm Find leads; that tells you how many people it will evaluate. Vamo reactivated about four months of stalled leads across 64 old posts. Start with your most recent posts on your core topic and work back.

### Do I still need to track my own profile?

Yes, for your new posts. Tracking your profile checks your recent posts and then follows the five most recent posts published after you added it. Older posts go in one at a time as single posts. See [leads from your own LinkedIn posts](https://traxy.ai/blog/leads-from-your-own-linkedin-posts)  for that setup.

### Can I do this with someone else's old posts?

Yes. Any LinkedIn post can go in by URL: yours, a teammate's, a competitor's or an influencer's. traxy keeps the engagers who fit your ICP.

### What if the same person engaged with several old posts?

Counts across posts can include them more than once, so review the people themselves on the Leads page. In outreach, a lead can be in only one active sequence at a time, and campaigns run in priority order so nobody gets two campaigns at once.

### Do the messages go out automatically?

Only after you approve. You test the campaign on sample leads with nothing sent and approve the launch, and then it runs on its own. Or you choose approval mode and approve every message in the review queue.

### Can I run this from Claude or ChatGPT?

Yes, through the traxy MCP. You can ask it to qualify a post's audience, list and research the leads, and draft, test and launch the campaign, with a yes in chat before anything sends or launches.

### Is it OK to email people who engaged months ago?

It depends on the country and your lawful basis, not on how old the engagement is. Say where you found them and honor unsubscribes. Our [GDPR guide for emailing post engagers](https://traxy.ai/blog/gdpr-emailing-linkedin-post-engagers)  covers the UK, France and Germany. This is not legal advice.

## Related reading

-   [Vamo: 11 meetings from content already published](https://traxy.ai/case-studies/vamo) 
    
-   [How to turn people who engage with your own LinkedIn posts into leads](https://traxy.ai/blog/leads-from-your-own-linkedin-posts) 
    
-   [Choosing a tool that turns one post URL into qualified engagers with work emails](https://traxy.ai/blog/linkedin-post-url-qualified-engagers-work-emails) 
    
-   [Most LinkedIn reach arrives after the first two hours](https://traxy.ai/blog/linkedin-post-reach-after-first-two-hours) 
    
-   [Emailing LinkedIn post engagers: GDPR and consent](https://traxy.ai/blog/gdpr-emailing-linkedin-post-engagers) 
    
-   [LinkedIn outbound with traxy](https://traxy.ai/linkedin-outbound) 
    

**Try it:** pick five old posts on your core topic and see who fits, then reach them with [LinkedIn and email outreach](https://traxy.ai/linkedin-outbound)  you approve first.

[Back to all articles](https://traxy.ai/blog) 

## Keep reading

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