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- 📦 The Michel Lieben Cold Outreach OS for 2025/26
📦 The Michel Lieben Cold Outreach OS for 2025/26
(After 6+ months of studying Michel’s outbound systems inside out... I finally broke them down into a clean, repeatable operating system.)
Alfie Carter
November 10, 2025
Hey Team 👋
Michel Lieben has quietly built one of the most efficient, repeatable, low-friction outbound systems on LinkedIn.
No spam.
No “guess the pain point” nonsense.
No fluff.
Just high-leverage personalization, delivered at consistent weekly volume, wrapped inside a warm multi-touch system.
And today you’re getting the full breakdown.
Let’s get into it.
1️⃣ The Smart Volume Framework (42 percent reply rate)
Target: Cold leads showing fresh engagement on LinkedIn
Goal: High-relevance first touch using micro-personalization + signal scraping.
Framework Overview
Michel’s outbound works for one reason:
It blends volume + warmth without sacrificing either.
✅ 200–300 cold touchpoints weekly
✅ 3-second research for relevance
✅ Tech Stack: LinkedIn + Prosp + Sheets
Example Message
“Hey {Name}, noticed your comment on {PostTopic} — refreshing to see someone actually think before they post.
Curious — how are you handling {NicheChallenge} right now?
Asking because we work with {ICPType} on this exact thing (usually see X percent lift). Happy to swap ideas if it’s top of mind.”
Performance Table
Metric | Result |
|---|---|
Messages Sent | 412 |
Replies | 42 percent |
Calls Booked | 31 |
Booked Call Quality | 8.6 out of 10 |
Why it worked
Leverages fresh engagement signals (comments, likes).
Starts with context, not a pitch.
Feels like a human DM, not an AI-generated intro.
2️⃣ DM Infrastructure + Follow-Up Ladder
This is the part nobody sees.
Michel’s system isn’t “one message that converts.”
It’s a multi-touch ladder that stacks value, credibility, and timing.
Message 1 — Personal Open (42 percent reply rate)
“Hey {Name} — saw your comment on {Topic}. Totally agree.
Most {ICPType} we speak to are struggling with {NicheProblem} too.
Noticed {Insight from Profile} — how’s that going for you?”
Message 2 — Value Add + Soft CTA (29 percent reply rate)
“We built a resource breaking this down.
It covers:
• {Bullet 1}
• {Bullet 2}
• {Bullet 3}
Want the link?”
Message 3 — Angle Shift (18 percent reply rate)
“Not sure if timing is right — all good either way.
Quick one: are you doing X internally or externally?
Seeing huge swings in outcomes. Can share what’s converting.”
Message 4 — Voice Note (22 percent reply rate)
A 25-second voice note that:
✅ references their profile signal
✅ drops one tactical value nugget
✅ recaps your work in 1 sentence
✅ nudges a call
Sequence Stats (Last 60 Days)
Step | Reply percent | Call Book percent |
|---|---|---|
Message 1 | 42 percent | 8 percent |
Message 2 | 29 percent | 6 percent |
Message 3 | 18 percent | 4 percent |
Message 4 | 22 percent | 5 percent |
3️⃣ Bonus Scripts
Low Response Variant
“Totally get if this isn’t a priority.
We just helped a similar {ICPType} cut {ProblemArea} by 38 percent.
Happy to share what changed — want the playbook?”
Interest-Based Nurture (No Ask)
“Saw your post on {Theme} — strong take.
Built something for {NicheGroup} doing X. No strings attached. Want it?”
4️⃣ Retargeting + Warm Sequence Engine (+9 percent lift)
Michel’s real advantage?
He doesn’t waste the leads that don’t reply.
Every “no response” gets recycled into a warm re-entry engine.
The Refollow + Retarget Flow
Move all unresponsive leads → List B
Add to Prosp warm-up track:
Like 1–2 posts weekly
Comment something relevant
Add to trigger list
After 14 days → warm DM
“Been seeing your posts on {Theme} — strong stuff.
We built something for {NicheGroup} doing X. Want me to send it?”
2nd Attempt (if ignored)
“Recorded a quick walkthrough of what’s working in your space:”
{Insert Loom link}
“Want the templates?”
Retargeting Results (30-Day Test)
List Size | Re-engaged | Calls Booked | percent Gain from Retarget |
|---|---|---|---|
113 | 27 | 9 | +9 percent lift |
5️⃣ The Real Message Vault (Aggregated Data)
Analysis of 1,400+ messages sent across 3 months.
Framework | Reply Rate | Call Book Rate | Lead Quality |
|---|---|---|---|
Smart Volume | 42 percent | 27 percent | 8.6 out of 10 |
Follow-Up Ladder | 29 percent | 22 percent | 9.1 out of 10 |
Warm Re-entry | 34 percent | 19 percent | 8.7 out of 10 |
Nurture Scripts | 24 percent | 17 percent | 8.3 out of 10 |
Overall Avg | 32 percent | 21 percent | 8.7 out of 10 |
✅ Key Takeaways
✅ Personal relevance beats generic personalization
✅ Voice notes remain the single highest-trust touchpoint
✅ Follow-up ladders convert 10–14 days after first touch
✅ Warm retargeting boosts conversion by 9 percent+
✅ You don’t need volume… you need sequencing
💡 Key Learnings from the Lieben OS
✅ Most replies come from the first 3 sentences
✅ Comments are the #1 outbound signal
✅ Micro-research outperforms long personalization
✅ Send 20–40 quality DMs per day, not 200 spam blasts
✅ Data wins — track story arcs, not just reply rates
🔥 Want the Full Lieben Cold Outreach OS?
Grab it here 👇
(Insert your cover image + CTA button just like the example)
The Lieben Cold Outreach OS Includes:
✅ Smart Volume Framework
✅ Full 4-Step Follow-Up Ladder
✅ Warm Sequence Engine
✅ Scripts, examples, and templates
✅ Voice note scripts
✅ Retargeting engine
✅ Execution notes + pitfalls
✅ Built to run natively inside Prosp
P.S. Struggling to consistently book calls from LinkedIn?
If so, try Prosp — the only LinkedIn automation platform that:
Sends AI-personalised DMs based on real engagement signals
Sends custom voice notes while you sleep
Finds leads from comments, likes, Sales Nav, groups, events, and post activity
Builds warm-up sequences automatically
Tracks replies, intent, and booked calls inside one dashboard
Lets you scale outreach without any spam footprint
If you want predictable outbound without the guesswork…
Prosp is built for you.