Playbooks
GTM content systems· 16 min read·Updated Jul 2026
PLAYBOOK · A CaptureFlow teardown

How ColdIQ's Michel Lieben Turned GTM Into a Content Machine

We analyzed 83 of Michel Lieben's most recent posts, 78 of them his own, to reverse-engineer the GTM content machine behind ColdIQ: the six content pillars, the hook patterns, and the two loops that turn outbound expertise into pipeline.

Michel Lieben, Founder & CEO, ColdIQ
Michel Lieben
Founder & CEO, ColdIQ · @michel-lieben
77K+
Followers
347
Avg reactions per post
2,842
Reactions on his top post
01

Michel's unfair advantage is running his agency's growth in public

Most agency founders keep the machine private. Michel open-sources the exact tools, steps, team, and numbers, then gives the whole playbook away.

Michel Lieben is the founder and CEO of ColdIQ, a B2B outbound and GTM agency in Barcelona that scaled to $7M ARR working with more than 275 clients. His LinkedIn is not a feed of think-pieces. It is an open-source teardown of his own business: the exact tools, the API stacks, the funnels, the team behind each result, and now a new Unified API product, all narrated with real dollar numbers. Where most founders post opinions, Michel posts the machine.

That is the whole engine. Systems-led growth is when your distribution comes from open-sourcing the exact machine you run, the tools, the steps, and the numbers behind your own results, so every post doubles as proof that you know what you are talking about. Michel runs it with discipline: pick a real workflow, show the full stack and the sequence, attach the outcome in dollars, and give it away for free.

The generic agency post

'We help B2B teams book more meetings.' A claim with no proof, no tools, and no numbers. Forgotten by the next scroll.

Michel the operator

The exact 7-step Claude Code workflow, the 19 APIs, the $7M ARR funnel, named and numbered. You screenshot it.

Running your GTM from Claude Code (or a coding agent) is the highest-leverage move you can make.

From his post announcing he is exiting the agency to launch a Unified GTM API (554 reactions)

Five findings that repeated across 83 posts

  • The machine is the content. His biggest posts are teardowns of his own agency and the tools behind it: a hiring call (2,842 reactions), a reaction to Claude Design (1,041), and 'can you run your entire GTM with Claude Code?' (774).
  • Conversation, not just reach. He averages 347 reactions but 319 comments a post, a comment-to-reaction ratio near 92%, more than ten times the LinkedIn norm. His posts are built to pull replies and DMs.
  • Infographics do the work. 62% of his posts are images, and they average 391 reactions, ahead of video (316) and text (239), because his images are dense, designed GTM infographics.
  • An honest, reduced sample. Of the 83 posts we pulled, 5 were reshares of teammates' launches; the analysis below is built on his 78 own posts.
  • Weekday discipline. About 3.6 posts a week, Wednesday heaviest, with zero posts landing on a weekend.
02

The numbers behind the account

Moderate reach, unusually high conversation, and dense infographics carrying most of the weight.

Across the 83 posts we analyzed, Michel published about 3.6 times a week, entirely on weekdays, with Wednesday, Tuesday, and Monday driving the most volume. That front-of-week rhythm lines up with how the platform distributes B2B content, which we break down in our guide to how the LinkedIn algorithm works.

When he posts

Wed18
Tue17
Mon16
Thu14
Fri13
Sat0
Sun0
Posts by weekday. The front half of the work week is the engine; weekends are silent.

The reach itself is honest and moderate: he averages 347 reactions, with a median of 284 and a top post at 2,842. Only 2 of his posts cleared 1,000 reactions. The real signal is not the likes, it is the comments.

The real metric is the comment ratio
Michel earns about 319 comments for every 347 reactions, a comment-to-reaction ratio near 92%. The typical LinkedIn post sits nearer 6%, so he runs more than ten times the norm. Posts like the Claude Design reaction pulled 3,197 comments and the 'run your GTM with Claude Code' teaser pulled 2,846, because each one is engineered to make you reply, ask, or DM for the resource.

The content-type mix

Image62%
Video19%
Text only19%
Share of posts by format. Infographics are the workhorse.
Images are not decoration for Michel, they carry the most reach: they average 391 reactions, ahead of video at 316 and text-only at 239. The reason is that his images are dense, branded GTM infographics (funnels, stacks, org charts) that pack an entire teardown into one saveable frame.

Where the engagement comes from

Like86%
Empathy6%
Praise4%
Interest2%
Entertainment1%
Appreciation1%
Reaction mix across the account.

The top posts

Notice the comment counts: several posts pull far more comments than reactions, the signature of content built to provoke a reply.

Want to see how your own cadence and comment ratio stack up? Run your profile through our free LinkedIn analyzer.

27,086
total reactions across his 78 own posts
03

The six content pillars

Every post is one of six repeatable buckets, so a founder documenting a fast-moving agency never runs out of things to say.

Claude Code GTM systems
The flagship

Step-by-step workflows and API stacks that run outbound from the terminal, the theme that dominates his feed.

Company & competitor teardowns
Highest reach

The full funnel, spend, and stack behind lemlist, Snowflake, and other $40M+ ARR machines.

The agency as proof
The credibility

The anatomy of his own $7M ARR agency: channels, headcount, tools, and revenue, mapped in the open.

Team-powered content engine
The multiplier

How 24 employees became publishers and added $151K MRR in 90 days.

Tactical outbound education
The evergreen

How the top 1% run cold email, buying signals, and data sourcing, with named tools for each step.

Founder story & public bets
The trust

The failures, the exit, and the risky new bet, told in the first person with the numbers attached.

Pillar 1: Claude Code GTM systems (the flagship)

Michel Lieben
@michel-lieben ·
Building cold email campaigns used to take hours. Claude Code builds them in minutes: You can use it to prospect, enrich, write copy, and launch campaigns... without exiting your terminal: Here's the full step-by-step process: 1️⃣ Build your company list This can be done in various ways: - Use Lookalike search via PredictLeads to clone companies that already pay you. - Pull from Clay, Apollo.io, Sales Nav, or AI Ark's 70M+ company database
757 249 37View post

Why it works: His most-repeated post shape: a before/after time collapse, then a numbered, tool-by-tool workflow anyone can copy. He never gates the how. The value is so concrete that the P.S. link to the full video breakdown feels earned, not salesy.

Pillar 2: Company & competitor teardowns (the reach engine)

Michel Lieben
@michel-lieben ·
What lemlist's $42,000,000 ARR funnel looks like: (It generated +$31M in new ARR in 2025) Their exec. team, including their CMO (Domitille de Saint-Exupéry) & their CEO (Charles Tenot) were kind enough to share it all ↓ 1️⃣ Lead Generation lemlist attracted 2M+ visits to their website in 2025. To generate this traffic, they leveraged: 1. LinkedIn 10% of their team actively posts on LinkedIn, totalling > 300K followers.
484 157 17View post

Why it works: He borrows another company's numbers as his content. A named funnel with a real ARR figure is pure curiosity bait, and by publishing it he positions himself as the person who knows how every top GTM machine actually works.

Pillar 3: The agency as proof (the credibility)

Michel Lieben
@michel-lieben ·
The anatomy of a $7,000,000/year GTM agency: From acquisition → to conversion → to service delivery 👇 1️⃣ Marketing Engine (45,000+ visits/mo) A. LinkedIn (~14,000 visits) 24 people with 300K combined followers publish 150+ posts/mo on topics related to outbound, AI & GTM. Pilar Varela designs most of our infographics. Useful tech: Taplio, Scripe.
403 146 11View post

Why it works: The strongest credential an agency founder has is his own P&L. By mapping ColdIQ's channels, headcount, and tools in the open, he turns a sales pitch into a case study the reader can audit line by line.

Pillar 4: Team-powered content engine (the multiplier)

Michel Lieben
@michel-lieben ·
We rebuilt our entire content engine with Claude Code. +$151K MRR added in 87 days with 20+ people posting. It started as a random experiment with 1, then 2, then 3 people posting. Then Mai-Lan Khong built it into a replicable working system:
335 548 12View post

Why it works: Michel does not rely on one founder account. He shows the system that turned two dozen employees into publishers, with an MRR number attached. The post is both a flex and a lead magnet: the cheat sheet is in the comments, which is why it pulled 548 of them.

Pillar 5: Tactical outbound education (the evergreen)

Michel Lieben
@michel-lieben ·
Imagine only cold emailing leads who WANT to buy from you… The closest way to do so? Leveraging buying signals: The idea is that these signals help you: - find relevant reasons to initiate contact - re-activate existing prospects at the perfect moment - surface new challenges to address in your messaging … and much more. There are several categories of signals: 1️⃣ First-Party Signals ↳ = Intent data gathered from your own business ecosystem.
534 142 39View post

Why it works: The evergreen how-to: open on the outcome every reader wants, then hand over a categorized directory of named tools. This is the pillar that earns saves and reposts (39 here), because it is a reference sheet, not a hot take.

Pillar 6: Founder story & public bets (the trust)

Michel Lieben
@michel-lieben ·
I’m exiting my $7M ARR agency to take the riskiest bet of my life: Launching a Unified API that lets teams run GTM from Claude Code. After working with > 250 clients on outbound in the last 3 years, there’s one thing I’m more convinced about than ever: Running your GTM from Claude Code (or a coding agent) is the highest-leverage move you can make.
554 254 10View post

Why it works: Between the tactical posts, Michel zooms out to the personal stakes: the failures, the exit, the risky new bet. Framing a product launch as a founder confession ('the riskiest bet of my life') turns a company announcement into a story people root for.

04

The hooks that earned the click

The through-line is a specific number or a concrete promise in the very first line. Michel never warms up.

The provocative question

Pose the question the reader wants answered. 'Can you run your entire GTM with Claude Code?'

The API-stack number

Lead with a count and a payoff. '19 APIs that turn Claude Code into a GTM machine:'

The time collapse

Contrast the old cost with the new one. 'Building cold email campaigns used to take hours. Claude Code builds them in minutes:'

The teardown promise

Name a company and a big number. 'What lemlist's $42,000,000 ARR funnel looks like:'

The personal bet

Open on the stakes. 'I'm exiting my $7M ARR agency to take the riskiest bet of my life:'

The news reaction

React to a fresh release. 'Anthropic just released Claude Design.'

For the mechanics of writing openers like these, our guide to writing LinkedIn hooks goes deeper, and you can pressure-test your own first line in the free hook generator.

His top hooks, by the numbers

Different shapes, one job: put something specific (a number, a company, a stake) in the first line so the reader has to keep going.
A hook that promises a resource beats one that only makes a claim. Michel opens on a concrete number or an exact workflow, so the feed stops on substance. Then the P.S. points at the video, repo, or cheat sheet, which is what turns a scroll into a comment and a DM.
05

A voice that shows the machine, never just the message

It reads like an operator handing you his SOPs: dense, numbered, tool-by-tool, with a dollar figure on every claim.

  • Opens on the number or the promise. The first line states the outcome, the count, or the stake, never a windup.
  • 'We' for the machine, 'I' for the bets. The agency's work is a team story; the failures and the risks are personal.
  • Names teammates and tools relentlessly. Kenny, Ivan, Pilar, Clay, Instantly, lemlist, as living proof the system is real.
  • Numbered, scannable structure. 1️⃣, →, and ↳ break every post into a directory you can screenshot.
  • A dollar figure on everything. $7M ARR, 275+ clients, 10s of millions of emails, $151K MRR. Specificity is the persuasion.
  • Ends on a P.S. A question to farm comments, or a link to the full video, repo, or cheat sheet.

The signature move is generosity with the how. Michel does not tease a framework and hold the details for a paid course. He publishes the full 7-step workflow, the 19-API stack, the exact funnel, and lets the depth do the selling. The bet is that giving away the playbook proves he can run it better than anyone, which is exactly the reputation an agency (and now a product) needs.

What he does, and doesn't, do

Michel does
  • Open on a number or a concrete promise
  • Show the full stack and every step
  • Name the teammates and the tools
  • Give the whole playbook away free
  • Anchor every claim to a dollar figure
Michel avoids
  • Post on weekends
  • Theorize without a named tool
  • Hide the process behind a paywall tease
  • Vague 'we help you grow' claims
  • Any assertion without a number

Holding that voice, dense, generous, and numbered, across a Claude Code workflow, a competitor teardown, an agency map, and a founder confession, at three-plus posts a week is the part almost nobody sustains, and it is exactly the gap CaptureFlow closes. CaptureFlow is an AI content agent that turns your expertise into weeks of on-brand content for every platform. You capture one idea in 5 minutes (a voice note, a screen recording of a workflow, a Loom of your funnel), and CaptureFlow, trained on your voice and your past posts, drafts native content for each channel, a LinkedIn post, an X thread, a carousel, an infographic, a short video, so scaling the cadence never costs the operator's voice. See how the AI content agent works.

06

The systems underneath the posts

Two loops quietly turn 83 posts into pipeline, meetings, and a team-sized distribution engine.

The give-it-away funnel

Reach77K+ followers
Free teardown postsworkflows, API stacks, competitor funnels
The P.S. resource'watch the video', 'here's the repo', book a call
~100 qualified meetings / monthinbound-led outbound at ColdIQ
Agency retainers + API betathe content is the top of a real pipeline

The free playbook is the lead magnet and the P.S. is the CTA. Because the value is delivered in full inside the post, the ask at the end reads as a bonus, not a bait-and-switch.

The team-amplification loop

  1. 1
    The founder account grows
    Michel goes from 2K to 77K followers by posting the machine.
  2. 2
    Turn employees into publishers
    24 teammates post, incentivized with a competition and cash prizes.
  3. 3
    Volume compounds
    581 posts in 90 days, 34,000+ new followers, +$151K MRR.
  4. 4
    300K combined team reach
    the agency's single biggest acquisition channel.
  5. 5
    Social proof funds the next hire
    who posts, and feeds the loop again.
loops back to the top
Result: One founder brand becomes a company-wide distribution engine that markets the agency for free.

Choosing the media

Funnel or stack teardown

A dense, branded infographic. His highest-reach format at 391 avg reactions.

Live workflow demo

A screen recording of a teammate building a campaign in Claude Code.

Hot take or tool list

Plain text when the numbered directory is the whole point.

The infographic is the proof. Michel's images average 391 reactions, ahead of video and text, because a designed funnel or org chart packs an entire teardown into one saveable frame. When the content IS a system, show the system as a diagram.

This systems-led model is a cousin of the cold-email teardown engine we mapped in the Arnaud Belinga playbook, and it is the template most agencies should study: document the exact machine you run for clients, then turn your own team into the distribution channel, the way we lay out in our guide to building an employee advocacy program.

07

Your 30-day challenge

Run the playbook for a month. Turn the systems you already operate into posts, one pillar at a time, and point the reach at a real asset.

1Week 1: Document the machine
  • Days 1-2: List every workflow, tool stack, and result you already run
  • Days 3-4: Post your best workflow as a numbered, tool-by-tool teardown
  • Days 5-7: Map one of your own funnels with real numbers, as an infographic
2Week 2: Borrow the proof
  • Days 8-9: Break down a competitor or admired company's stack and funnel
  • Days 10-11: Publish the anatomy of your own business, channels and headcount
  • Days 12-14: Write one evergreen how-to with named tools for each step
3Week 3: Add the human
  • Days 15-17: Tell a founder story: a failure, a pivot, or a bet, in the first person
  • Days 18-19: React to a fresh release in your space with a strong take
  • Days 20-21: Recruit one teammate to post their own workflow this week
4Week 4: Compound it
  • Days 22-24: End every post with a P.S. pointing at a real resource
  • Days 25-27: Reply to every comment to feed the conversation ratio
  • Days 28-30: Review analytics and double down on the format that reached furthest

Want the cadence without writing every teardown from scratch? That is exactly what CaptureFlow's content agent automates. See pricing to start turning your systems into weeks of content.

The metrics to track weekly

MetricBenchmark to aim for
Reactions per post300+
Comments per post100+
Comment-to-reaction ratio20%+
Weekday posting cadence3+ per week
Named tools or people per post5+
Posts ending in a resource CTAEvery post
Track these weekly to see whether the teardowns are actually compounding into pipeline.
The one thing that breaks the cadence
A heavy client-delivery week. The fix is to batch-capture the raw material up front, a voice note walking through a workflow, a screenshot of a funnel, the one number that matters, so a packed week never leaves you staring at a blank editor. Here is how to batch a month of content in one sitting.

The takeaways

  • 01Document the machine, not the message. Michel's biggest posts are teardowns of his own $7M ARR agency and the exact tools behind it.
  • 02Give the whole playbook away. He publishes full 7-step workflows and 19-API stacks, then lets the depth prove he can run it best.
  • 03Optimize for comments, not just likes. He earns a comment-to-reaction ratio near 92%, more than ten times the LinkedIn norm.
  • 04Make the infographic do the work. His images average 391 reactions, ahead of video and text, because they pack a full system into one frame.
  • 05Turn your team into the channel. 24 employees posting added 34,000+ followers and $151K MRR in 90 days.
  • 06Batch-capture your workflows so a three-a-week cadence survives a heavy client-delivery week.

Frequently asked questions

How did Michel Lieben grow his LinkedIn following?
By open-sourcing the exact machine behind ColdIQ: full Claude Code outbound workflows, API stacks, competitor funnel teardowns, and his own agency's numbers, about 3.6 times a week. Across 83 recent posts he averaged 347 reactions and 319 comments each, and his account grew past 77K followers.
What kind of post performs best for Michel Lieben?
Concrete teardowns and reactions with a big number in the first line. His top post, a hiring call, earned 2,842 reactions, and his infographics (62% of his posts) average 391 reactions, ahead of video and text.
How often does Michel Lieben post, and when?
About 3.6 times a week, entirely on weekdays, with Wednesday, Tuesday, and Monday heaviest and zero posts landing on a weekend.
How do you apply this playbook without spending hours a week?
Batch-capture the systems you already run, then let a content agent draft in your voice. CaptureFlow turns one 5-minute capture into a week of native posts across platforms, so you can hold the cadence without writing every teardown from scratch.
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