Michel Lieben 🧠

We made a new hire last week. Their first question:

How come Hugo Sensée is employee of the month?

Claude Design dropped a couple of months ago.

It's still not as good as Claude Code for actual design work.

That's according to our designer Pilar Varela, after 150+ AI-generated infographics built with Claude Code + Figma.

Some of those designs pulled close to 100,000 organic impressions.
(Yes, it works!)

The craziest part: she now spends 1/5th of the time she used to on her designs, with a better output.

Want to replicate this?
We made a guide covering:

- How to connect Figma's MCP to Claude Code
- The Claude & Figma Design skills she runs (+ how to install them)
- 3 HD infographics created with this exact stack (Claude Code + Figma + Skills)

Comment "Design" and I'll DM you the guide.

P.S: We need to be connected for me to send it over :)

I'm 31. My business made > $5,500,000 in 2025.

But before that, I failed 7 businesses in a row:

Here's what I tried building...
and how each 'fail' got me closer to a 'win'


1. Started a clothing brand with my friend Thibault Selderslagh.

👎 Barely sold 15 t-shirts. Minimum order was 400. 385 tees are now collecting dust in a basement.

👍 But... I learned how to create websites.

↳ A skill I used to build the V1 of ColdIQ's website.


2. Co-Founded a raffle lottery in the UK 🇬🇧

👎 Invested 40,000€ of personal savings. Only sold £1,000 worth of tickets.

👍 But... I learned to run ads while desperately trying to sell them.

↳ We now book > 30 monthly meetings via ads and offer it as a service to clients (some closing > $2M in under a year as a result!)


3. Tried becoming an Instagram influencer.

👎 Found a hack that grew me to 29,000 followers. It then stopped working overnight. Never made a dime from IG... not even a single free product.

👍 But... I learned about social media & algorithms.

↳ Which led me to become a LinkedIn influencer instead 😆. Jokes asides, it contributed to 20,000,000+ impressions & 1,700+ inbound meetings for my company.

(And... we now offer this as a service too. Send a DM!)


4. Ran a sports betting affiliate website.

👎 Grew it to $6,000/mo. Then it dropped to 0 overnight because of regulation changes in Belgium 🇧🇪

👍 But... I learned to monetize affiliate brand deals.

↳ Today, we generate > 5-figures/mo in passive affiliate revenue.


5 & 6. Started both an MMA Betting blog AND a Crypto blog.

👎 Neither made a single $1.

👍 But... I learned SEO & Copywriting.

↳ Both these skills drove 100s of thousands of visits to ColdIQ's website.


7. Launched a Facebook Ads agency.

👎 Booked 15 outbound meetings. Closed zero clients.

👍 But... I learned cold email in the process.

↳ That skill turned into a service we delivered for > 200 B2B orgs, now generating over half a million $ per month.


Takeaway?
You win, or you learn.

Each failure becomes a lesson...
That allows you to give it another shot... better.

It's a whole process that rewards those who stick to it.

So keep pushing & good luck!


P.S: What's the worst business idea you tried?

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.


B. SEO (~11,000 visits)

Yevhen leads our programmatic SEO efforts

We ship:
- Long-form blog content
- Programmatic landing pages via AirOps
- Free micro-tools built with Claude Code (by Sacha)

Stack: AirOps, Ahrefs, Claude Code, Webflow


C. Paid Ads (~3,000 visits)

Ivan invests in ads across LinkedIn, Meta & Google.

We budget around $10K/mo for channel testing.

Stack: Fibbler, Usermaven


D. Cold Outreach (~3,000 visits)

Kenny leads our internal outbound efforts:

A few plays we run include:
- Lookalike account targeting
- Value-driven lead magnets
- Inbound-led outbound
- Social re-engagement

Stack: Clay, Instantly.ai, lemlist, Prospeo, FullEnrich, PredictLeads, LeadsFactory, CompanyEnrich


E. Other channels combined (~11,000 visits)

Monika sends our weekly beehiiv newsletter issues.
Harry leads our webinar motion.

We're experimenting with TikTok & AEO.


2️⃣ Lead Capture

To turn traffic into pipeline, we layer:

- Midbound + Vector 👻 to surface anonymous traffic.
- Lifecycle emails via Customer.io.
- Lead magnet e-book pop-ups.
- Micro-tools that capture emails.

Everything routes through n8n → scored by Clay, OpenAI & PredictLeads.


3️⃣ Sales Engine

Dujam & Jan close the deals.

Both are machines!
And there's some (healthy) rivalry between them that pushes the numbers up.

Our sales engine:
- Is mostly sales-led.
- Averages $5-$10K/mo retainers.
- Involves 2-3 Google Meetings calls.

It usually flows this way:

1. Pre-call: case studies, VSL, free content → prospects routed to the right AE.
2. Discovery: AE meets the prospect, fires off a LinkedIn connect.
3. Enrichment: account research in Clay (funding, headcount, tech, tenure, reports).
4. Proposal → (follow-up) → Closed Won

Useful tech: Attention (AI notes), Hyperline (CPQ), Attio (CRM), Qwilr (proposals), Stripe (payments).


4️⃣ Client Delivery

Soheil leads our Service Delivery... which often involves onboarding 30+ new accounts in a single quarter.

To keep up, we:

- Automated onboarding workflows via n8n.
- Synced GSuite ↔ Supabase ↔ Stripe ↔ Slack.
- Offloaded admin (Slack invites, onboarding links, secondary domain provisioning).

…so our GTM Engineers focus only on what moves the needle for clients (custom ICP matrix, creative campaign ideas, copy…)

Stack: Airtable, n8n, Slack, Google Suite, Supabase.


Couldn't go as deep as I'd have liked on each part of the engine…
But the infographic below maps it out visually.

Which layer shall I write more details about?

P.S: Want to learn more about scaling a GTM agency? Follow Soheil Saeidmehr, who helped write this piece. He's one of the best at agency scaling ✌️

Getting your team to post on LinkedIn is a nightmare.

But when they do, the results are... pretty crazy.

We successfully made it happen at ColdIQ
With 20+ people regularly posting.

They grew their follower count... which now totals 300,000+ across our entire team.

And this was our #1 channel, scaling our way to $7M ARR.

Until recently, I was convinced we were the absolute BEST at this.

Then... I saw Kai Brandt's playbook with the Enginy team:

50+ people organically posting, which became their #1 channel to go from $1M to $4M ARR.

So we decided to team up to break down both our systems LIVE in Barcelona.

We'll cover:

1. The anatomy of a high-performing post
2. Posting cadence to balance employee work vs. social growth
3. How to leverage engagement from these posts for conversions
4. The formula behind our best-performing hits.

Are you in Barcelona 🇪🇸 (or do you have a friend who is?)

Then come meet us live, and tag a friend who should come!

-----

Full details for the event:

"How to turn your team into LinkedIn influencers"
🗓 May 21st - 18:00 - 22:00
📍Norrsken Barcelona

Save your spot, there are only 100 seats available!


👉 See you here: luma.com/3es1qh5m

Claude Code for GTM is here.

The top 1% tools are building on top... or feeding it:

Julien Lieben spent 100s of hours testing GTM tools for Claude.
Here are the ones worth looking at:

1/ CompanyEnrich (B2B company data · feed)

B2B data APIs that fuel your agents, workflows & GTM ops.
Includes lookalikes, firmographics & contact enrichment in a single call.

2/ LeadsFactory (find people · feed)

Real-time LinkedIn data to surface decision-makers. Includes a "Waterfall search" that auto-finds adjacent titles when the exact persona isn't there. Perfect API for any agent building targeted lists.

3/ Openmart (local business data · build)

The best local data sourcing platform (their new agent sits on 200M+ local businesses)
It autonomously pulls verified emails & phones, qualifies on signals, and hands the list to your favourite sequencer.

4/ Nooks (multichannel sales platform · build)

Evolved from a parallel dialer into a full multichannel agent + AI sales coach. Reads live signals, drafts personalized copy & re-tunes sequences on the fly.

5/ Apollo.io (B2B database · feed)

MCP just shipped on top of 275M+ contacts.
Agents can search by persona, reveal contacts & enrich on demand.

6/ Prospeo (email finder + B2B database · feed)

200M+ contacts database, ideal for agents.
Free search endpoints.
The product was rebuilt to make it effortless to enrich lists inside Claude Code.

7/ Relevance AI (programmable GTM agents · build)

Programmable GTM platform to build & ship AI agents via Claude Code or Cursor.

100+ integrations across CRMs, email & enrichment. Built-in governance (audit logs, RBAC) to go from prototype to production fast.

8/ PredictLeads (intent signals · feed)

The freshest triggers your agents can ingest: hires, funding, tech installs, news, champion tracking.
They were always API-first, made to plug into Clay or Claude Code etc.

9/ Clay (GTM orchestrator · both)

Their new "Builder Agent" spins up workflows from a single sentence.
Claygent still runs the best AI research on any URL, returning the exact data you want in your table.

10/ Instantly.ai (email sequencer · both)

Their AI sales agent runs your inboxes + writes sequences, sends at peak times & classifies replies.
Their "Supersearch" agent is also a great natural language prospect-finder.

11/ lemlist (multichannel platform · build)

2 agentic layers baked into the sequencer: live intent signals + personalized research. The AI tracks triggers per prospect & runs research before the sequence fires.

P.S: If you want to learn more about the best GTM APIs to connect to Claude Code, I recorded a 35-min video going over how to ACTUALLY use them. Let me know if you'd like to see it :)

We built 13 n8n workflows with Claude Code to run GTM at our $7M ARR agency.

I'm giving all 13 away, free.

Most of them run our own prospecting, enrichment, and reply handling across client campaigns.

A couple, like the sentiment tracker, are brand new.

Here are 6 of them:

1. GTM Flywheel (81 nodes, hard)

Feed it one company domain. It enriches the company, finds lookalikes, generates ICPs through 3 chained Claude models, then prospects the right employees. Out comes a full strategy across content, ads, and outbound, sent straight to your inbox.

2. Phone Finder (41 nodes, hard)

LinkedIn URL in, verified phone number out. It waterfalls across Prospeo, FullEnrich and more. One provider misses, the next picks it up automatically.

3. AI Reply Manager (13 nodes, medium)

A prospect replies to a cold email in Instantly.ai or lemlist.

n8n classifies the intent, drafts a personalized reply, and drops it in Slack for approval or edits before anything sends.

4. Lookalike Finder (35 nodes, hard)

Domain in, similar companies out via PredictLeads + others, sorted by industry, size, and tech signals.

5. Viral Content Finder (10 nodes, medium)

Finds viral LinkedIn posts on the topics you pick, filters by engagement, and files the best ones in Notion for content ideas.

6. Feeling Tracker (36 nodes, hard)

Give it any tool. It monitors Twitter, Reddit, YouTube, and LinkedIn for mentions, then Claude reads the sentiment across every source.


7 more are in the doc, across content, GTM, and ops.

Comment “n8n workflows” and I'll send you the full doc with all 13 :)

Most companies bet their LinkedIn strategy on their CEO.

We turned 24 employees into LinkedIn influencers:

The results:
- 581 posts
- 43,473 reactions
- 28,130 comments
- +34,023 new followers

More importantly:

- +27 new clients
- +$151,000 in MRR

…in < 90 days.

And our prospects kept saying: "We see your posts everywhere."

Here's how did it 👇

1️⃣ We launched an internal LinkedIn challenge

Your team might want to grow their brand.
But if it isn't in their job description… good luck getting them to post.

We ran a quarterly competition with cash prizes:

🥇 $5,000
🥈 $2,500
🥉 $1,500

…plus $500 for anyone publishing 20+ times over the quarter.


2️⃣ We removed most friction points to posting

High-performing LinkedIn posts follow a recipe:

→ Structured, breathable writing
→ Proven angle or trendy topic
→ Clean visuals
→ Strong hook

So we helped with each component:

Spotting proven topics isn't straightforward.
→ We provide access to software (i.e: Taplio & Scripe) to surface outliers.

Designing visuals is extremely time-intensive.
→ We hired full-time designers, so that our team focuses on articulating their insights instead of post packaging.


3️⃣ We invested in coaching

This meant 1:1 meetings where we:

- Rewrote whole posts & hooks
- Built content calendars
- Brainstormed ideas

…plus group sessions where we:

- Shared best practices
- Brought in LinkedIn experts like Pierre Herubel


4️⃣ We hired people who already wanted to grow their brand

Many new joiners discovered us via LinkedIn so they were already sold.

Kenny found ColdIQ via a post by Monika.
He was publishing on day 2.

He started 2025 under 1,000 followers.
He now has 13,000+.


5️⃣ We showed the example... & every win made the next one easier

We gave $500 to anyone who published 20+ times.
I personally shipped 60+ in the same window.

If you're asking your team to post, you'd better be doing it yourself.

Having 70,000+ followers makes me more convincing when I tell my team they can hit 10,000 within months.

We now have 15 team members past 5,000 followers, and a combined 250K+ across the team:

- Michel: 71,821
- Alex: 64,891
- Ivan: 21,819
- Yevhen: 16,524
- Soheil: 15,174
- Kenny: 13,205
- Monika: 12,128
- Mai-Lan-Lan: 10,130
- Jan: 9,971
- Julien: 7,316
- Juan: 6,118
- Dujam: 6,008
- Louis: 5,850
- Harry: 5,510
- Luca: 5,271

In 2026, enabling your team to post is one of the most cost-effective ways to generate B2B leads.

And the cool news?

I'm teaming up with Kai from Enginy - who ran the same playbook with 50+ teammates publishing... for an in-person event in Barcelona.

We'll break down, live & in-person, the secrets behind growing LinkedIn accounts at scale and building an engine that books 100s monthly demos.

📍 Norrsken House, Barcelona
🗓 May 21st, evening
🎟 Free

Let me know in the comments if you'd like to get the event link!

P.S: If you're not in Barcelona, I recorded a 20-min breakdown of this strategy. Lmk if you'd like to view it :)

We manage > $300k/mo in ad spend via Claude Code.

These Skills 2x'd our output without sacrificing quality:

They:
- execute bulk edits across platforms
- upload custom audiences
- detect creative fatigue
- generate reports.
- tweak bids
- flag issues

...all from the terminal.

Ivan Falco, our Head of Growth, built these based on 300+ hours running ad campaigns for our clients.

(The kind of campaigns that provide > 4X ROAS on > $1M spent)

Here’s what’s inside:

Google Ads:
- keyword-analyzer - audits quality scores and uncovers keyword gaps
- negative-keywords - reviews search terms and eliminates wasted spend
- performance-auditor - compares periods and surfaces what shifted
- search-terms - identifies queries burning budget with zero conversions

Meta Ads:
- audience-builder - converts CRM lists into custom audiences
- creative-fatigue-analyzer - catches declining CTR before you notice
- fatigue-monitor - flags when your audience is oversaturated
- spend-tracker - monitors budget pacing across all campaigns

LinkedIn Ads:
- audience-builder - generates targeting audiences at scale
- bid-optimizer - adjusts bids across campaigns in bulk
- bulk-editor - mass edits campaigns, ads, and naming in seconds
- creative-builder - produces ad creatives from brand specs

Drop the above skills into Claude Code, follow the setup to connect your accounts, and tell it in plain English what you need.

It'll read the skills, plug into your ad platform, and execute.

Comment "Claude Code for Ads", and I'll share the full skills repo with you 👇

P.S: We also recorded a 1-hour video showcasing an entire ad campaign buildout from scratch with Claude Code. Lmk if you'd like to view it too & I'll share it along with the skills!

Our Head of Growth runs $300K/mo in Ads from his Claude Code terminal.

He spent 200+ hours building these 12 custom skills to do so:

They:
- autonomously execute bulk edits
- import custom audiences
- detect creative fatigue
- build result reports
- flag ad issues
- adjust bids

…all from his Claude Code terminal.

Some of these campaigns achieve more than 4X ROAS with more than $1,000,000 spent.

Here’s what these skills, made by Ivan Falco, cover:

Meta Ads:
- audience-builder → turns CRM lists into custom audiences
- creative-fatigue-analyzer → catches dropping CTR before you spot it
- fatigue-monitor → flags when your audience gets oversaturated
- spend-tracker → tracks budget pacing across every campaign

LinkedIn Ads:
- audience-builder → builds targeting audiences at scale
- bid-optimizer → tunes bids across campaigns in bulk
- bulk-editor → mass-edits campaigns, ads, and naming in seconds
- creative-builder → generates ad creatives from brand specs

Google Ads:
- keyword-analyzer → audits quality scores and surfaces keyword gaps
- negative-keywords → scans search terms and cuts wasted spend
- performance-auditor → compares timeframes and reveals what shifted
- search-terms → spots queries burning budget with zero conversions

Simply drop these into Claude Code, plug your ad accounts, & describe which actions you want to perform.

It’ll read the skills, plug them into the ad platforms & execute.

We packaged the 12 skills, ready to run & install straight away.

Along with a 61-min video breakdown on how WE use them for clients.

Comment “CLAUDE ADS” and I’ll send them over.

What our $7,000,000/year funnel looks like:

(It added ~$4M ARR last year & booked > 1,500 meetings)

1️⃣ Lead Generation

We attracted ~330,000 unique visitors to our website in 2025.

They came from:

- Automated Outbound
- LinkedIn publications
- LinkedIn Ads
- Google Ads
- SEO

Software used:

FOR OUTBOUND

→ Intent Signals: PredictLeads, Common Room, Trigify.io, Clay
→ Sales Engagement: Instantly.ai, lemlist, Expandi
→ Data Enrichment: Prospeo, FullEnrich, Clay
→ Data Sourcing: Clay, Openmart, LinkedIn

FOR INBOUND:

→ SEO: AirOps, Ahrefs
→ Ads: Fibbler, LinkedIn
→ Content: Taplio, Scripe, Notion


2️⃣ Lead Capture

To convert this traffic, we rely on a few mechanisms, i.e:

- Lead Magnets & Mini-Tools, to collect email addresses.
- De-anonymization technology, to re-engage visitors.
- VSLs, to articulate our offers as clearly as possible.

Software used:

→ Visitor Identification: Instantly.ai, Midbound, Vector 👻
→ Mini-Tools: Claude Code, Lovable, Vercel
→ VSL Hosting: Wistia on Webflow


3️⃣ Lead Management

When leads don’t convert directly, we:

- Run outreach campaigns to warm leads that were scored & segmented prior.
- Nurture leads via our Newsletter & Email Marketing sequences.
- Connect on LinkedIn & nurture leads through content.

Software used:

→ Newsletter: beehiiv
→ Email Marketing: Customer.io
→ Lead Scoring: Clay, OpenAI, Claude
→ Workflow Automation: Relevance AI, n8n


4️⃣ Lead Conversion

Then all that is left is to close these leads.

This mostly happens via video conferencing on Google Meet.
Followed by proposals being sent via email.
And contracts being signed digitally.

Software leveraged:

→ Sales Enablement: Attio
→ Meeting Notes: Attention
→ Quoting/Billing: Hyperline


P.S: The strongest part of our funnel is, by far, our lead gen:

Syncing LinkedIn Ads, Content & Outbound is producing so many leads… that we don’t need to be 100% perfect lower down the funnel.

Let me know if you'd like us to run this for you!

I built my outbound agency to $7m ARR in 3 years.

I'd always recommend the same GTM tools until... Claude Code.

Building advanced campaigns used to take days & required 'technical GTM Engineers'.

Now they take hours & require GTM operators with a bit of creativity.

It's never been easier for non-technical people to build end-to-end campaigns, with their voice or by typing their keyboard, without ever leaving Claude Code.

And this Wednesday, I'm teaming up with Instantly.ai to show exactly how.
LIVE.

Using the Instantly API + Claude Code, we'll run the full workflow:

→ Finding & building your ICP list
→ Writing personalized copy with AI + skills
→ Setting up and launching the campaign via API
→ Reviewing results and optimising performance continuously.

30 minutes of live build + 15 minutes of Q&A.

This is for GTM engineers, founders, and agencies who want to treat outbound like code - fast, repeatable, and fully in their control.

Come with your current stack in mind.
You'll leave with the blueprint to replace half of it.

Hosted with Otto Tatton (AE @ Instantly.ai)

Free · Live build + Q&A · Replay sent to everyone who registers.

Save your spot here: luma.com/instantly-h84g

P.S: Who's looking to implement Claude Code in their outbound in 2026?

I went viral on X sharing how our internal LinkedIn competition added $151K MRR within 90 days.

We’re running one again, but I’m changing the rules:

For context:

We gave away $5,000 (🥇), $2,500 (🥈), & $1,500 (🥉) for the winners.
And $500 to every team member who published 20+ times within the quarter.

The result: 27 new clients = +$151,000/mo.

Here are the new rules to get even better results this time:


1. We’re bumping the prizes: 🥇= $6,000 | 🥈= $3,000 | 🥉= $1,500.

I may (or may not 👀), bump these prices during the quarter + add some for 4th/5th place to keep the team motivated during the entire quarter.


2. Every participant needs to have a ColdIQ-branded banner, as well as a CTA pointing to our website

This is self-explanatory, but team impressions don’t matter if prospects can find their way to your offerings.


3. Scoring system: 1 point per like | 2 points per comment | 5 points per 1,000 impressions | 10 points per individual publication

- I want to reward “volume” by giving away points every time someone posts.
- I want to reward comments, more than likes, as they impact post reach more.
- I want points for impressions as well, since saves/shares aren’t ‘priced in’, but have a huge impact on overall reach.


4. Score multipliers: Video post = 2X on likes/comments. Original post = 1.5X on likes/comments

LinkedIn doesn’t necessarily love videos over other formats, but I’m convinced it’s the highest-leverage format out there.

Buying decisions for $25,000+ ACV products require depth… and there’s no better format than videos to achieve this.

I want the team to keep on posting carousels, infographics, text-posts & the likes of these… but want to give an extra push towards video content.

-

Also… one way to achieve performance on LinkedIn involves repurposing high-performing pieces. Most often, reposting the same piece as a colleague won’t have a negative impact on reach. So I don’t discourage the team from doing so, BUT I strongly encourage them to come up with net-new content.


5. Relative audience growth: extra rewards on posts for engagement relative to audience size.

Still trying to compute this one, but all the above scoring criteria reward larger accounts on the team.

I (70K), Alex (62K), Ivan (21K), Soheil (15K), Kenny (13K), Monika (12K) are all above 10K followers.

Hitting 100+ likes on a post is much easier than for new accounts just starting out.

Taking this into account to give a fair chance to anyone

(Also, Alex & I aren’t participating… so if you were wondering: no, I’m not planning to cash out the $6,000 prize haha!)


Loïc R. built a live leaderboard to track the competition in real-time, lmk if you’re interested to view it & I’ll share it below :)


P.S: Anyone thinking of launching a similar competition for their team this year?

POV: Everyone in my $7M business leverages Claude Code

Here's what it looks like for our team:

1. GTM

Kenny Damian (Head of GTM) built a custom GTM operating system with Claude Code for our team.

- Our GTMEs use it as an AI co-pilot pre-loaded with clients' data, ICP definition, past campaign results & 15 specialised outbound skills (list building, offer creation, copywriting)

→ Instantly.ai & lemlist campaigns can be shipped in under 30 minutes with the lists being built out, pain points being listed, copy being written out... and the entire campaign already uploaded to our sequencers.


2. Sales

Jan Rasmussen (AE) plugged Claude Code onto our CRM, his call transcripts, his email address & Slack.

It preps every closing call, autonomously drafts a proposal, & cross-check other deals he's working on.


3. Content

Julien Lieben generated 700K+ impressions over the last 2 months.

He pulls trending GTM & AI topics from X, Reddit & LinkedIn into a Notion brain - then feeds it 3,000+ posts so the agent can analyze exactly why/how each one went viral.

Plus, he built a custom writing skill trained on all his posts, rewrites & personal rules… (so you won’t catch him posting “no X, no Y, just Z” 🙏)


4. Ads

Ivan Falco manages ~400K/mo of Ad spend across Meta, Google & LinkedIn straight from Claude Code.

It handles campaign angles, list building, uploads the target audience, and even creates visual drafts for our design team to improve.


5. Design

Pilar Varela uses Claude Code + Figma to produce AI-generated infographics (which, for some, generated 100K+ impressions individually)


6. Lead Magnets

Sacha Martinot shipped 30+ free mini lead generation tools:
- email finders, phone finders, intent signals... using Cursor / Claude Code / n8n.

Within months, we had 6,000+ new email addresses collected from these.


7. SEO

Yevhen Suslov trained Claude Code on AirOps to handle programmatic deployment of SEO pages. Claude Code now also handles SEO research for him & his article/brief creation.

He 5x the amount of articles he ships, without compromising on quality.
And, shipped 1000s of programmatic pages on our site.


8. Recruitment

Hugues Selderslagh rebuilt our entire recruitment engine on top of Claude Code:

- He records his conversation with the leader within our org. who wants to hire.

- Based on the transcripts, Claude Code scour the web for similar job offerings & spits out a custom job description with a suggested take-home task.

- Then incoming applications go through a scoring system that ranks 100s of candidates based on their CV, LinkedIn, form responses & relevancy against the job offering.

- He reaches out to the top candidates to schedule an interview (which he does, by himself, no AI yet here haha!)


Julien built a bundle that includes our best skills across all departments, along with 1-hour video tutorials on Claude Code for LinkedIn, Ads & Cold Email...


Comment "Claude Bundle" and I’ll DM you the full pack 🎁

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.

including:
- Guillaume (46K)
- Erwan (39K)
- Charles (37K)
- Tal (35K)
- Domitille (7K)
- Yann (7K)

Software they use:

- Taplio (content)
- Figma (design)


2. Paid Ads

They invested $550K in 2025 across LinkedIn, Google & Meta Ads, producing +$4M in new ARR.

They favour Google for high-intent, bottom-of-funnel searches.

And LinkedIn for ABM campaigns targeting larger companies or to amplify their CEO's organic posts.

Software:
- Fibbler (LinkedIn ads signals)


3. SEO

- They rank #1 on Google for high-value keywords like "multi-channel prospecting tool"
- They shipped 'meta' resources that establish authority (e.g: '95 Buying Signals Directory').
- They produce multi-lingual content that ranks across several languages.
- They created multiple free mini-tools (e.g: Email Finder).

Software used:

- Semrush (Keyword research)
- Storyblok (CMS)


4. Partners, Affiliates & Influencers

They invested $60K on Influencers, both large & micro-influencers.
And allocated $450K to their partnership motion to generate +$4M in ARR.

Software leveraged:

- PartnerStack (affiliate platform)
- Crossbeam (account mapping)
- Notion (partner management)


2️⃣ Lead Capture

They converted more than 200,000+ companies into a free trial in 2025
(~12% visit-to-trial conversion rate).

To pull this off, they:

- offer a 14-day trial to their platform (no cc details required).
- let leads book demos in-app, on the website or via email.
- run reverse trials that switch users back to a $0 free plan.

Large accounts are routed to a dedicated landing page to book a demo straight away.

Software leveraged:

- Email cadence: Customer.io
- Landing pages: Webflow
- Booking: lemcal


3️⃣ Lead Conversion

Interested leads are enriched and scored based on specific thresholds:

- smaller accounts receive group demos.
- ICP fit leads receive a 1:1 demo.

They capture their sales meetings inside Claap which auto-logs deals inside HubSpot.

For closing, they leverage Katalyz, a digital sales room, for large deals with multiple stakeholders.

They generate quotes via Hyperline, which includes an e-sign process & automatically handles provisioning through their Stripe integration:

Tools leveraged:

- Deal closing: Hyperline, Katalyz
- Sales Meetings: Claap


P.S: How far is your org. from having a similar growth engine?

How top 1% teams use Claude Code in their business:

(Real examples from working with > 8-figure companies)

1. GTM

Teams are building GTM operating system inside Claude Code:

Dump as much as your company's data including: ICP definition, past sales & marketing campaigns results, SOPs, call transcripts, Slack conversations into Claude.

Build custom skills for dedicated GTM actions (list building, data enrichment, copywriting).

After enough iteration, your team should be able to ship campaigns pretty fast with natural language.

→ This is what our Head of GTM, Kenny Damian did. He now ships lemlist & Instantly.ai campaigns in < 30 min. With lists built, pain point mapped, copy written, & everything uploaded into the sequencer.


2. Content

Build a content brain inside Claude Code:

Pull trending subtopics in your industry from X, Reddit, LinkedIn, YouTube & other platforms into Notion.

Feed all the posts to Claude (along with their performance) so that the agent learns the patterns that make each go viral.

Based on this, build custom writing skills trained on your voice.

→ Julien Lieben built this, and generated > 700,000 LinkedIn impressions in 2 months with earned him +3,800 new followers.


3. Recruitment

Build a Recruitment OS inside Claude Code:

Build a system that automatically:
- grabs transcripts from the hiring manager's specifications around the new hire responsibilities
- let custom agents scour the web for similar role openings at top companies
- spit out a custom job description based on the best ones above
- comes up with a custom assignment to be completed
- scores 100s of applicants based on cv/assigment

→ Hugues Selderslagh built this & cut his evaluation time by 3. He still does jump on the interviews himself!


4. Design

Feed your existing design system to Claude Code.

Pair Figma's MCP with it to produce beautiful AI-generated infographics.

→ Pilar Varela now produces 10x more infographics than she could before. And these are still pulling decent impressions on LinkedIn (some > 100k views).


5. Sales

Build a Pipeline OS:

Connect Claude to your CRM, call transcripts, emails, DMs & Slack.

Then build a system that:
- researches each prospect ahead of any call
- drafts a proposal after the call
- cross-checks existing deals

→ Jan Rasmussen now runs this system and can take way more demos than he could before.


6. Ads

Train Claude on your best-performing ads, as well as the best ones you see in the wild.

Based on past performance, let it come up with:
- custom audience
- campaign angles
- creative briefs
- target lists

→ Ivan Falco managed ~$400K/Mo in ad spend across Meta, Google & LinkedIn with ~80% of his work being handled by Claude Code.


P.S: If you're interested in digging into these builds into more details... we bundled our Claude Code SOPs across every department, including 1-hour videos tutorials on Claude Code for Outbound, Ads & Content creation.

Comment "Claude SOPs" and I'll send it you way :)

The AI agents market is set to reach ~$10.9B in 2026.

Here are the ones to use, from finding leads to closing deals:

1️⃣ Build your list with AI agents/data tools

1. Apollo.io: pulls 275M contacts and auto-qualifies from a plain-language prompt ( + API & MCP)

2. CompanyEnrich: B2B data, firmographics, technographics & lookalikes on any domain (+ API & MCP)

3. Prospeo: verified emails & direct dials across 200M+ contacts, built on a top-tier B2B database (+ API & MCP)

4. Openmart: scours the open web for local businesses & leads no database holds (+ API)

2️⃣ Enrich your list with AI agents/data tools

5. FullEnrich: email & phone waterfall stacking the best providers in a single call (+ API & MCP)

6. PredictLeads: catches buying signals (job posts, news, tech installs) before your competitors do (+ API & MCP)

3️⃣ Fetch the web with AI agents

7. Claygent (Clay): opens any URL and extracts custom data points via natural language (+ API & MCP)

4️⃣ Book your meetings with AI agents

8. Instantly.ai Sales Agent: drafts follow-ups, manages replies & books straight into your calendar (+ API & MCP)

9. Nooks: AI-native parallel dialer booking meetings via cold calls, now multichannel (+ API)

10. Artisan Ava: full-stack autonomous AI SDR, from ICP to meeting

11. lemlist agents: 4 agentic enrichers (web, LinkedIn, calls, CRM) feed your sequences, then write, send, follow up & route replies (+API & MCP)

5️⃣ Close better with AI agents

12. Attention: agents sit in on your calls, coach reps live & auto-update the CRM (+ API)

13. cobl: AI agents that write your sales proposals for you

6️⃣ Build AI agents from Claude Code

14. ColdIQ: MCP that spins up autonomous agents triggered by signals, plugged into 40+ GTM APIs (+API & MCP)

P.S: Any AI agent missing on here?

I spent 150+ hours trying out 62 AI Agents.

These 7 actually help you sign more clients:

1. Agent Builder: Relevance AI

↳ It helps you build custom Agentic workflows.

For example, you can build: 
→ A workflow that identifies viral posts given a list of topics/creators, & adds the ones that outperformed to a Google Sheet.

Type out inside Relevance what workflow you’d like to build 
…and it does most of the automation building on your behalf.


2. Research agent: Claygent

↳ It helps you effortlessly research prospects at scale.

Claygent is embedded inside Clay & works like an assistant you can delegate time-consuming tasks to.

For example, ask it to: 
→ Find pricing info on 1000+ SaaS companies.

Claygent will then:
- Browse the web and navigate each SaaS website.
- Navigate until it finds pricing.
- Give you the price.
- Explain where/how it found it.


3. Reply agent: Instantly.ai

↳ It monitors your inbox and drafts answers on your behalf.

Typically, with cold emails:
The faster you reply, the more meetings you book out of interested leads.

Example use-case:
→ Activate Instantly’s reply agent for your outbound campaigns.

And then, these reply agents can be trained to automatically:
- assess whether prospects were interested or not
- draft a reply, based on interest, that mimics your tone

You can run it entirely on autopilot 
…but I suggest always keeping a human in the loop for quality control.


4. Development Agent: Lovable

↳ It helps you build mini-tools without coding experience.

For example, ask it to:
→ Build an app that finds email addresses or a client reporting dashboard.

And then, after a good chunk of debugging, it creates a ‘decent’ prototype.


5. Sourcing Agent: Exa’s Websets

↳ It builds precise prospecting lists only requiring natural language prompts.

Example use-case:
→ You tell it you want to build a list of "CEOs in AI SaaS companies, from 100 to 250 employees, in NY, who raised > $1M”

The agent comes up with the filters, sources the list in real-time, provides leads that fit some of the criteria, and only charges you for leads that fit them all.


6. LinkedIn Agent: Valley

↳ It mimics human SDRs in the DMs.

Example use-case:
→ Let it run your prospecting.

Valley autonomously: 
- sources your ICP
- identifies relevant signals
- writes outreach messages
- monitors conversation & replies

... and it does that pretty impressively for a 🤖.


7. Sales agent: Attention

↳ It records your meetings & provides insights your sales team can leverage to close deals.

For example: 
→ Let Attention join your meetings.

It’ll analyse conversations in real-time, update your CRM, & suggest best next steps.

Then, it can also analyse 100s of sales conversations, and provide insights around:
“What made prospects book a meeting with your team”
“How did they hear about your company”
“What’s preventing them to buy”


P.S: Have you recently 'hired' an AI agent in your business that effectively helped you find clients?

Multichannel outreach gets 2-4x more replies than email alone.

I’ve seen it across 275+ clients at my $7M ARR agency:

We took a client from 1.8% to 4.3% positive replies just by layering channels.

B2B SaaS, high-ticket.

The exact system we ran:

1️⃣ Tier the list before writing a single word

When deal size goes up, list size goes down. That flips the math on effort.

→ Tier 1 - manual

Hand-crafted, multi-touch, phone included (FullEnrich or lemlist for mobile numbers).

→ Tier 2 - multichannel

Semi-automated. Email + LinkedIn sequences running side by side.

→ Tier 3 - automated

One-to-many. Email-first, light touches.

Most people apply Tier 3 effort to Tier 1 accounts.
On a high-ticket list, that can cost you.

(Use Hypertide.io if you’re going to send emails at scale)

2️⃣ LinkedIn comes before the email, not after

→ View the profile
→ Fire the invite
→ Then the message arrives

By the time your email hits their inbox, your name already rings a bell. That one resequencing beat every subject-line test we tried.

3️⃣ Run it all from a single workflow

→ lemlist

Email, LinkedIn & phone steps live inside one sequence.

Three disconnected tools glued together by a spreadsheet is how touches slip through. When the invite gets accepted, the next step triggers on its own.

4️⃣ Launch on signals

- new hire
new leaders spend up to $1m to rebuild their stack.

- they're recruiting
The job post reveals the pain and the mission. Go past the title, scan the description.

Use PredictLeads to surface the above signals

- profile view
They checked you out first. Warmest door in the building.

(Use ColdIQ MCP to run all these signals inside Claude Code)

- website visitors
Use Knock2.ai or Warm AI.
Something on your site caught their eye - move fast.

5️⃣ Write for relevance, not personalization

"I saw you have a dog" is personalization.
"As you mentioned [topic]" is relevance.

Every message followed the same skeleton:

- skip the intro, they'll look at your profile anyway
- open with the relevance
- one benefit tied to their KPI
- one proof point, one simple CTA

High-ticket buyers don't respond to volume.
They respond when the timing is right and the message shows you've done the work on their account.

1.8% to 4.3%, in 2 months.

Which channel are you still leaving out?

P.S: Monika Grycz 💌 made this analysis. Make sure to check her profile to learn how to write multichannel outreach that converts!

Explorium raised a total of $127,000,000.

Here's every tool they use to run their company:

Their CEO, Omer Har, was kind enough to share the whole stack in details 👇


1️⃣ Inbound Marketing

Their paid campaigns run on Reddit, Inc., Google & LinkedIn Ads... with Claude generating the ad creatives.

They are ahead of the game when it comes to GEO:
> They optimize for the sources AI engines cite answers from such as G2, ColdIQ 👀, Trustpilot, GitHub, LinkedIn, YouTube & Reddit.

Claude Code produces that content at scale.

They even their tool on AI assistants directly, via MCP listings on Claude, ChatGPT, Perplexity & Manus AI.

Their influencer & affiliate programs give them presence on TikTok, Instagram, LinkedIn & X.


2️⃣ Cold Outreach (Outbound)

Their intent layer:
- RB2B to identify website visitors.
- Bombora to spot in-market accounts.

Their data comes from Explorium itself, and Vibe Prospecting is the chat interface they run campaigns from.

- lemlist powers multichannel outreach.
- Claude Code orchestrates everything.

Every list gets built with the engine they sell.
Their outbound IS the product demo.


3️⃣ Lead Capture

> HubSpot forms sitting on a WordPress site + HubSpot for attribution.

An AI agent qualifies every visitor before a rep ever sees them.


4️⃣ Lead Processing

This is where most of their engineering hours go.

A lead arrives → Explorium enriches it → n8n + a Claude agent score it & set the MQL → Salesforce + LeanData route it → a Slack bot pings the rep.

Explorium then maps the rest of the account for ABM expansion.

No human touches a lead until it's ready.


5️⃣ Deal Closing (Sales)

- An inbound agent built on Claude + lemlist.
- Calendly for scheduling.
- Gong for call recordings.


6️⃣ Delivery

- Stripe for payments.
- Databricks for data delivery.


7️⃣ Business Intelligence

- GA4, Mixpanel & PostHog for analytics.
- Datadog for monitoring.
- Microsoft Clarity for session recordings.
- Peec AI to track their visibility in AI search.

…and, once again, Claude Code queries all of it.

P.S: What would you say is missing from their stack?

How we build end-to-end cold email campaigns, simply by chatting to a terminal:

This encompasses:
- list building
- buying signals
- data enrichment
- personalized copy
- & campaign orchestration

...without ever exiting Claude Code.

1️⃣ List building

There are few ways to source your lists:

- Clone the companies already paying you via lookalike targeting (with CompanyEnrich, PredictLeads or DiscoLike).
- Pull leads from B2B databases like Apollo.io, Openmart, and LinkedIn Sales Navigator

Claude calls their APIs & canget through 50k+ rows of .csv files with ease.

2️⃣ Account scoring

- We created custom GTM skills (i.e: lead-scoring) to run our ICP criteria against every list.
- Leads get split into Tier 1 (manual outreach), Tier 2 (multi-channel) & Tier 3 (email outreach).

Claude handles scoring and filtering autonomously.

3️⃣ Intent signals

- APIs like PredictLeads, Trigify.io & Explorium catch signals such as hiring, press releases, product launches & social engagement.

Claude calls the right APIs to stack signals on top of our targeting.

4️⃣ Decision-maker filtering

- APIs like LeadsFactory & Apollo.io surface multiple decision-makers per company, matched to our ICP definition (job title, seniority, department...)

5️⃣ Data enrichment & validation

- Claude waterfalls several providers for emails & phone numbers (i.e: Prospeo, FullEnrich, CompanyEnrich, Explorium)
- It cleans risky emails before anything hits our sequencers.

6️⃣ Copy generation & deployment

- Claude fetches our best-performing copy directly from lemlist or Instantly.ai via MCP/API.
- It then writes custom copy based on signals, current initiatives & the target persona.
- It works in batches of 100-200 leads to protect quality.

7️⃣ Feedback & auto-improvements

- Claude reviews campaign metrics post-launch.
- It keeps collecting insights on our top-performing segments.
- It finds lookalikes of those winners to fuel the next campaigns.
- Campaigns self-improve (the way a Meta Ad pixel does)

Setup needed:
- Claude.md file with scoring rules, tool-calling preferences & workflow logic.
- Custom-built gtm skills or ColdIQ's GTM brain
- API keys or ColdIQ's unified API

→ Recommended GTM APIs/MCPs by layer:

- data: Apollo.io, Openmart, CompanyEnrich, Sales Nav
- enrich: FullEnrich, Explorium, Prospeo, LeadsFactory
- signals: PredictLeads, Trigify.io
- orchestration: Claude Code, Codex, n8n
- action: Expandi, Instantly.ai, lemlist
- validation: BounceBan

P.S: I filmed a 39-min step-by-step video tutorial showcasing how to go from 'Claude Code prompt' to 'ready-to-send campaign'... let me know if you'd like to view it :)

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.

I’m not the only one who believes it. Truth is, the most advanced GTM Engineers & Agencies have already ditched tools & interfaces for GitHub repos, terminals & APIs.

Our best GTM Engineers at ColdIQ have gone from days to hours to launch the exact same campaigns…

By simply writing or dictating a few lines to their favourite AI coding agent.

Today, I believe the technology we have at our disposal allows every GTM team to perform like the best GTM Engineers in the world.

But there’s one caveat:

In order to turn Claude Code (or else) into a GTM machine, you need to feed it:
- The best GTM Skills.
- Best practices on outbound.
- API keys across 8-12 different tools.
- As much internal context as you have on your business.
- Plus SOPs, past campaign wins, proven angles, prior results…

In short, you need to know what works and find a way for your agents to ingest that knowledge. And then, you need to give it access to the best tools.

Thus, we leveraged the learnings we accumulated working with 275+ B2B orgs, sending 10s of millions of emails, growing our agency to $7m ARR and generating > $50m in revenue for our clients…

To launch the most powerful Unified API for GTM.

Ask it, inside Claude Code, to:

“Build a list of Software CEOs in London, in companies 25 to 100 people, pick up who’s in buying mode, draft 3 angles for messaging & upload it to my sequencer”

And it’ll:
- Build the list with the most appropriate B2B database.
- Find their emails + phone data via the best providers.
- Uncover buying intent via 2-3 separate APIs.
- Use ColdIQ’s skill to write winning angles.
- Upload to your sequencing tool.

Via one subscription, accessing 40+ tools, & routing to the best provider for each individual task.

We’re granting private beta access the the tool from today & onwards.

What you’ll get, once you’re in:
- A 3-hour onboarding to help you build out GTM OS in Claude with our GTM Engineers (including 1 with me).
- A weekly 1-hour private group session run directly by me, during which we build GTM campaigns live.
- Access to a private community with direct access to our team for Q&As.

In short, everything you need to build a high-functionning GTM Operating System.

Come schedule a chat directly with me (on coldiq.com), and I’ll let you know whether our technology fits your use case.

P.S: Who here is already building GTM on Claude Code?

I just crossed 60,000 followers. LinkedIn got us to $6.5M+ ARR.

Here's every tool I used to grow my following:

1. Content Ideation

→ Taplio (go.coldiq.com/taplio)

I use their in-app feed to find outlier LinkedIn posts in my niche.

You can input keywords such as: "ai sales", "outbound" or "GTM" and then filter for posts that:

- include the above 'searched' keywords
- were posted within a month ago
- had 300 likes or more

I then reverse-engineer the structure, hook & CTAs of these high-performing posts to improve my own.

→ Scripe

Also great for content ideation.

It lets you aggregate posts by author, which is another helpful way to find 'viral publications' or 'outliers' on a given topic.


2. Copywriting

→ Grammarly

As a non-native English speaker, I make lots of spelling mistakes.

I use Grammarly's extension to correct my writing in real-time.

Doesn't sound too crazy, but this could be the most helpful application in my LinkedIn tech stack.

→ Claude

I use Claude to generate hook variations, repurpose past content & brainstorm new angles.


3. Visuals & Design

→ Figma / Adobe

My LinkedIn strategy relies a lot on visuals.

When made well, they multiply the reach of your publications up to 10X.

Our designers use either Figma or Adobe's suite to design our carousels & infographics.


→ Canva

My first-ever carousels published on here were made on Canva.

It is the most beginner-friendly app to create social media visuals.


4. Video Creation

→ OpusClip

I use Opus's AI features to automatically create short-form videos from my long-form content.

The output isn't as great as that of a professional editor...
But it's cost-effective.

And multiple AI-edited videos got me 50,000+ views on LinkedIn (while only taking me 2 minutes to generate).

→ Screen Studio

Screen Studio is my favourite Mac Screen recording app.

It's great to make video walkthroughs or tutorials because it automatically zooms/focuses on the parts of the screen you're actively working on.

It makes video outputs look much more fancy than they'd be otherwise.

→ Ezgif

I use Ezgif to create .GIF files out of my short audioless video content.

If you're planning to publish a < 15-second audio-less video on LinkedIn...

I'd recommend speeding it up and converting it into a GIF file.

I'm not 100% sure why, but it outperforms in terms of reach & engagement.


5. Content Planning

→ Notion

My central content hub.
It's where I collect ideas, draft them, and prepare my posts.

Notion also serves as my content calendar.


That's the entire stack I used to go from 0 to 60,000+ followers.

It's also the tech stack I plan to get past 100,000.

What tools did I miss?

Let me know 👇

P.S: If you want to grow your account, sell a B2B product, but don't have time to post... send a DM.
We'll do it for you ✌️

This funnel consistently books us 100+ monthly meetings

(It's how I grew my agency to $7M ARR)

Here's the breakdown ↓

1️⃣ Lead Generation

40,000+ people visit ColdIQ's website every month.

Our best traffic sources:

A. AEO & SEO (~12,000 visits)

- Standard articles = SEO-optimised pieces (still works, while everyone's chasing AEO)
- Meta pages = exhaustive resources (e.g. tools directories) that rank well on Google
- Programmatic SEO = 1,000s of templated pages deployed on GTM tech products
- Free GTM mini-tools (i.e: free phone finder), built with Claude Code, that pull eyeballs & signups

Useful tech:
- Prospeo (email + phone enrichment)
- GetLeads (unlimited b2b enrichment)
- PredictLeads (intent/buying signal API)
- FullEnrich (premium waterfall enrichment)

B. LinkedIn Posts (~10,000 visits)

↳ As a team (120,000+ combined followers), 10+ of us consistently post on LinkedIn. This adds up to ~100 monthly publications.

Useful tech:
- Taplio (post inspiration MCP)

C. Cold Outbound (~3,000 visits)

↳ We run several prospecting plays:

- Value-based (lead magnet) campaigns
- Industry-centric campaigns
- Success stories lookalikes
- Inbound-led outbound
- Social re-engagement
- Signals layering

The goal isn't traffic - but at our sending scale, it flows back to the site.

Useful tech:
- Expandi (B2B sales engagement)
- lemlist (Multichannel outreach)
- Instantly.ai (cold emailing)
- Apollo.io (B2B database)
- ColdIQ (Unified API)

D. YouTube (~growing)

↳ I'm bullish on YouTube as a platform for lead gen. But find it extremely hard to be consistent at with all other responsibilities I have.

Got my channel past 3K, & I plan to post more on there... stay tuned!

E. Webinars

↳ Monthly webinars with big GTM tech companies.

Last month with Instantly.ai gathered a couple thousand registrants. This month's with Apollo.io reached close to ~4,000 signups.


2️⃣ Lead Capture

To turn that traffic into meetings, we run:

- contextual lead magnets popping up after a few minutes of browsing

- email sequences that nurture leads toward a meeting

- CTAs to our newsletter & free e-book

- de-anonymization tech on visitors who take no action (we score & segment them with LLMs + ColdIQ's MCP, then re-engage via email or LinkedIn)

Useful tech:
- Customer.io (email marketing)
- beehiiv (newsletter)


3️⃣ Lead Conversion

70% of our deals are sales-led.

They close through Google Meet conversations - usually 1 to 2 calls, depending on package size.

I use Claap to record my calls & turn them into coaching.
And cobl to craft proposals based on the transcripts.


This funnel has worked consistently for 3 years.

It took my agency to $7M in revenue.

And it's exactly what I'll use to take the new ColdIQ platform to $1M ARR within the next 6 months.

P.S: Any channel you recommend running to reach $1m faster?

Yesterday, > 1400 people watched Kenny Damian build an entire outbound campaign using Claude code.

He wrote a few prompts in the terminal, fed it a list of companies, and then...

Claude Code took over:

1. It scored and prioritised the entire company list against our ICP

2. It found verified email addresses through Apollo’s API

3. When Apollo didn’t have coverage, it automatically pulled in additional enrichment providers to fill the gaps

4. It wrote personalised copy templates on its own (based on our best-performing outreach)

5. Then it uploaded the entire campaign: leads, sequences, and copy... straight into Instantly.ai

It took fewer than 20 minutes.

This was just one of three demos we ran.

Right before that, Ivan Falco showed us how to automate ad campaign creation & 'warm' social prospecting.

Unfortunately, I can't upload the entire video here due to LinkedIn's file size limits.

If you couldn't attend:

Comment "REPLAY" to get the recording and the full playbook bundle (frameworks, SOPs, templates) so you can try this yourself.

P.S: What's a GTM play you're trying to automate using Claude Code?

How to run LinkedIn Outreach like the top 1%:

(Based on 100,000+ conversations analyzed in Expandi)

The patterns we found across every high-performing campaign:

1. Short > Long

Messages under 150 characters pulled 22% more replies on average.

→ Get your point across in as few words as possible.


2. 3-Step Sequence > 1 Message alone

Sequences with 2+ follow-ups landed 42% more replies than single-shot outreach.

→ Always follow up.


3. Warm approach > Cold approach

Connection requests sent right after:
- a profile view
- a like on a post
- a 'follow' action

…hit +30.2% acceptance.

→ Show up on your prospect's radar before sliding into their DMs.


4. Conversational Copy > Direct Pitches

[+27.1% more replies] Peer comparison in the CTA

↳ "We dug into {findings on topic} - would you like to see what's currently working for others in your industry?"


[+21.5% more replies] Opening line referencing a 'Job change'

↳ "Saw you just joined {company} - how's {ongoing initiative} shaping up?"


[+19.3% replies] LinkedIn post reference

↳ "Spotted your post on {pain point} - how are you tackling it today?"


[+18.2% replies] Trigger-based opener

↳ "Noticed you're hiring for {roles} - happy with your current {topic} setup?"


5. Personalization > Volume

Campaigns with copy tailored to each prospect lifted replies by +54.7%.

→ Spend the extra minutes. It pays back.


6. Multi-Channel > Single Channel

Following up on another channel (e.g. cold email) boosted reply rates by +13.8%.

→ Don't bet the whole campaign on LinkedIn alone.


7. Contextual > Generic

Referencing recent activity (a post, role change, etc.) drove +18% replies.

→ Always have a reason to reach out.


8. Experts to Follow

- Julien Lieben (Claude Code for GTM)
- Harry Mason (LinkedIn growth hacks)
- Louis Van Wyk (GTM engineering systems)
- Monika Grycz 💌 (GTM tech, cold outreach copywriting)


9. Key Metrics to Track

- Positive replies: aim for 8%+
- Reply rate: aim for 18%+
- Acceptance rate: aim for 40%+


10. Outreach Tech Stack

- Expandi for automation & sequencing
- Clay for intent signals, enrichment, filtering & personalisation
- LinkedIn Sales Navigator for list building & targeting
- Zapier for end-to-end workflow automation


P.S. What's working for you on LinkedIn right now?

I asked 62 GTM leaders running $1M+ orgs what tools they use.

One tool showed up in 71% of stacks:

MOST MENTIONED:

- Clay (71%)
- n8n (48%)
- HubSpot (39%)
- Instantly.ai(35%)
- HeyReach.io (35%)
- Apollo (35%)
- LinkedIn (32%)
- Attio (32%)
- Prospeo (29%)
- Lovable (29%)


FEATURED STACKS:

Nikola Sokolov (CEO, influencers.club) - 54 tools
↳ Clay, Instantly, HeyReach, n8n, HubSpot +49

Charles Tenot (CEO, lemlist) - 40 tools
↳ Clay, n8n, Apollo, Ahrefs, HubSpot +35

Jaspar Carmichael-Jack (CEO, Artisan) - 25 tools
↳ HubSpot, Gong, Lovable, Ahrefs, Artisan +20

Benjamin Douablin (CEO, FullEnrich) - 19 tools
↳ HubSpot, Instantly, HeyReach, n8n, FullEnrich +14

Eoin Clancy (Head of Growth, AirOps) - 17 tools
↳ AirOps, Lemlist, Clay, Common Room, Attention +12

Kai Brandt (CEO, Enginy (formerly Genesy)) - 17 tools
↳ HubSpot, Claude, Ahrefs, Lovable, Loom +12

Pierre Herubel (Co-Founder, Content Path) - 15 tools
↳ Clay, Claude, Attio, Lemlist, Webflow +10

Roq Xever (Founder, PredictLeads) - 15 tools
↳ HubSpot, Clay, Claude, Cursor, Lusha +10

+49 more stacks broken down on our "tech stacks" page.
(Link in the comments)

P.S: Any tools surprise you?

How I get > 30% replies via LinkedIn DMs

By doing the opposite of the 100+ weekly pitches I get:

CONTEXT

I sent 5M+ outbound messages for my $6.5M+ ARR Agency.

Nowadays...

Answering DMs costs me more time than running campaigns.

I'm the CEO at a 33-person company.
(I can't imagine how much outreach execs in big orgs get)

That said, I know most execs check their inbox.
And many reply.

Here's how I decide whether I'll respond or not...

And how I changed my own outreach because of this ↓


✅  DMs offering free work

Some DMs offered a free landing page rewrite or samples of already-made work.

I ran prospecting campaigns and pitched free custom lead lists.
(These were getting me more positive replies than I could handle)

My recommendation: Imagine your prospect is an existing client. What's the first thing you'll do for them? Do it already and send it over!


✅ DMs asking to be referred

Let's say you:
1. Send a message based on a current initiative of ColdIQ
2. Searched who is in charge of this initiative.
↳ I'll gladly refer you to said person

PS: You can automate this 'play' via Clay by combining intent signals & retrieving a leader/manager in a specific department.


❌ DMs asking for time on the 1st touchpoint

Meetings are my personal hell.
I'm fighting every day to eliminate as many of them as possible.

If you're "just asking 15 min of my time" to pick my brain, I won't answer.


✅ DMs from ‘known’ people

An unfair truth in cold outreach: $WHO sends a message matters even more than WHAT the message is.

If you're a well-known executive, I'll most likely reply.

I saw this firsthand as I grew my LinkedIn to 60K+ followers...

The exact same message would perform better, without changing anything.

Pro tip: If you sell B2B products, build your brand on LinkedIn.


❌ Generic templated outreach

The only way to make impersonal, generic outreach work is to send at a massive volume (millions of messages).

LinkedIn doesn't allow such volume.

So you'd be better off doing this by email.
Or better yet... not at all.


✅ DMs sharing valuable insights

Jihad explained this better than I could under one of my posts:

"
The best "free work" isn't actually work → it's insights.

I send technical audits of prospects' platforms.
→ 5-minute analysis
→ 3 specific optimization opportunities
→ No strings attached

Example: "Your checkout flow has a 23% drop-off at payment verification. Here's why + 2 quick fixes."

- Takes me 10 minutes.
- Shows immediate value.
- Demonstrates expertise without asking for anything.

The key: Make it so valuable they'd typically pay for it.

Generic "free consultation" = everyone does this.
Specific actionable insight = rare.
"

Solving prospects' issues before they pay you a dime is the fastest way to gain their trust.


🔘 Videos or Voice Notes

I listen to voice notes or watch videos.

It annoys people.
But if they're well done, they'll grab attention.

What's a DM you receive you could NOT ignore?

Share it 👇

Posting on one LinkedIn account brought us new clients.

24 accounts added $153,000 MRR in 90 days:

We collectively hit 'publish' 581 times...
which added up to:

- 43,473 reactions
- 28,130 comments
- +34,023 new followers

But most importantly:

+ 27 new clients
+ $153,000 in MRR

… in the span of 87 days.

And our sales kept hearing the same thing from prospects:
“We see you guys everywhere”

Here’s how we did it 👇


1️⃣ We ran an internal LinkedIn competition

Your team may want to post on LinkedIn.
But if it's not in their job responsibilities… good luck.

We ran a competition & gave away the following prizes:

🥇 $5,000
🥈 $2,500
🥉 $1,500

… & $500 for every person posting > 20 times during the quarter.


2️⃣ We removed as much friction as possible around 'posting'

Successful posts have a “recipe”.

It's usually a combination of:

→ A proven angle or trendy topic
→ Breathable, structured writing
→ A strong hook
→ A nice visual

But:

Identifying proven topics isn’t easy.
→ We put Taplio & Scripe at their disposal to help the team see what works.

Brainstorming hooks can be hit-or-miss.
→ I tell my team to reuse variations of mines that outperformed.

Designing visuals takes time.
→ We hired designers to handle this part, so that our team can focus on the ‘writing’ as opposed to the ‘packaging’.


3️⃣ We heavily invested resources to train the team

Making it work required 1:1 sessions in which we:

- Built a posting calendar
- Rewrote posts & hooks.
- Brainstormed ideas

And group sessions during which we:

- Shared best practices.
- Brought LinkedIn experts (e.g, Pierre Herubel & Lara Acosta) to teach our team.


4️⃣ We hired people motivated to grow their brand

We used to ask applicants whether they wanted to grow on socials.

At the same time, many new joiners heard about us from a LinkedIn post.

If WE attracted them, they were typically willing to 'publish'.

For the story:
Kenny Damian learned about ColdIQ from a post by Monika Grycz 💌.

He was already posting by day 2 of joining.

He had fewer than 1,000 followers in 2025 a year ago.
He’s recently reached 10,000.


5️⃣ We led by example

We granted $500 prizes to team members who published 20+ times.

Meanwhile, I published > 60 times in the same timeframe.

If you’re going to ask your team to post
You should demand it from yourself as well.

Being near ~70,000 followers makes me more credible when I tell my team that I’m sure they can reach 10,000.

Plus, we also have 13 team members > 5,000 followers:

- Michel: 67,752
- Alex: 60,601
- Ivan: 21,090
- Yevhen: 16,774
- Soheil: 14,217
- Monika: 11,300
- Kenny: 10,633
- Mai-Lan-Lan: 7,970
- Jan: 7,089
- Dujam: 5,887
- Juan: 5,823
- Harry: 5,381
- Louis: 5,258

Every successful audience growth builds conviction for the rest of the team.

P.S:

If you'd like to get your team 'successfully' posting in 2026...

I just recorded a video that details how we made it work.

Let me know if you'd like to view it & I'll send it over :)

These 4 GTM agents will save you 5 hours every day:

They automate:

→ Content creation
→ Market research
→ Prospecting

Here’s how they work:

AGENT 1: AUTOMATE LEAD RESEARCH

This agent captures company profiles, enriches them & scores them on autopilot.

Step-by-step:

- GhostGenius sources company profiles
- Agent monitors credibility signals (follower count, high activity, active website) 
- GPT scores each profile against our ICP criteria.
- Contacts are deduped so they’re never reached out to twice.

Qualified validated prospects are sent directly to a Google Sheets for prospecting.


AGENT 2: LOCAL OUTBOUND ENGINE

Apify extracts information about local businesses from Google Maps.
But this raw data is typically unstructured, messy & outdated.

Thus, through the Agent:

- Google Search API fills incomplete metadata.
- Each website is scraped for keywords, tech stacks, & offerings.
- GPT enriches every business profile & classifies these.
- Additional info (i.e: emails, phone numbers, contact links) is extracted.

The data is then exported to Airtable or Google Sheets.
Initial low-quality data turns into sales-ready records.


AGENT 3: CONTENT GENERATOR

Drop a content brief into a Google Form.

Get auto-generated:

- Copy for your LinkedIn carousels, slide-by-slide.
- Visual briefs for your designer.
- LinkedIn publication drafts.
- LinkedIn (or social) Hooks
- CTAs

Drafts are automatically added to your Notion content calendar.

They need a 10 to 15-minute manual edit, and they’re good to go.


AGENT 4: REDDIT INTEL SOURCING

Many GTM teams ignore forums & communities.
But they’re typically goldmines for learning about your prospects' pain points.

Reddit has communities in almost every niche.
But it’d take lots of time to read through all these.

Thus, the agent, based on a website/domain:

- Identifies ICP signals.
- Extract relevant threads via Reddit API
- Summarizes pain points, language used by prospects, frustrations & what they seem to care about most.
- Sends a daily report to your inbox.


THE RESULT: MORE PIPELINE

These steps save a lot of manual time, which you can now allocate to going in-depth into more worthwhile, high-value activities.

All these automations are built inside n8n.

Which one is most valuable to you?

AI agents are replacing human employees.

Funny enough, they operate in very similar ways:

The smartest agents don’t work alone.
They work in teams.

Some behave like assistants.
Others as managers.

And as with any sort of team, there are different ways to structure their collaboration.

To illustrate this:
We can look at how 3 multi-agent setups would handle the same task…

For example: Scheduling a quarter business review with an important client.


1️⃣ Hierarchical setup

A manager agent assigning tasks to its agent team members.

1. The manager receives a task = Schedule a business review.

2. It tells a subordinate agent to check potential times to meet with the clients.

3. Another agent checks product usage from the client. "Has usage recently dropped? Is engagement still strong?"

4. A 3rd agent drafts an email based on client availability & product usage:

"Hey Achilles, it's been a while - wanted to ensure you're using the product to the fullest. How about a quick chat next week, Wednesday?”

5. The manager reviews everything and sends the email.


2️⃣ 'Human-in-the-Loop'

A smart assistant tapping your shoulder when needed.

1. The agent drafts the business review email and finds some available times.

2. But… it sees the client gave negative feedback 2 weeks ago.

3. Before sending the email, it asks you: “Do you want to review the email before I send it?"

4. You make small tweaks, and you send it.


3️⃣ 'Sequential' setup

Like a factory or an assembly line where each person does one task and hands it off to the next.

1. 1st Agent asks: "Is a quarterly business review due?" based on the client's last meeting time.

2. 2nd Agent pulls client's usage data.

3. 3rd Agent drafts a short email.

4. 4th Agent sends the email to book the meeting.


So, when should you use which?

As a rule of thumb:

- Hierarchical setups work well for complex, multi-step tasks.

- Human-in-the-loop setups are recommended for high-stakes, sensitive tasks.

- Sequential setups for ordered workflows with clear dependencies.


P.S: What's one process in your team that would run better...
with some smart agents working behind the scenes? 👇

This GTM play grew my agency to $7m ARR:

and consistently booked us >100 meetings per month

1. Our team publishes 100+ posts per month

- 10+ people publish on LinkedIn
- We use Taplio to find inspiration
- We study hooks & visuals from outliers
- We incentivize the team with cash prizes

2. We re-engage leads that interacted with our content

First, leads get scored & tiered via ColdIQ's MCP:

- Tier 1 leads = manual outreach
- Tier 2 leads = multichannel outreach via lemlist
- Tier 3 leads = automated email outreach at scale

3. Every message combines 2 layers of context

- What's happening inside their company
- What content they engaged with

Engaged with a post about email deliverability?
→ That's the angle my message opens with.

Engaged with a piece on AI personalization?
→ That's the frame instead.

Company context + content context = messages that feel extra personalized and extra relevant… because they actually are.

This is what converts best in outbound today when your content is already generating the engagement for you.

P.S: This is part of a 1-hour conversation I had with Erwan Gauthier (VP Growth) & Charles Tenot (CEO) at lemlist. Lmk if you'd like to see the whole convo, and I'll ping you once it's out!

I used Naga's content system to generate 8.4M impressions on X/Twitter in under 6 months.

And crazy enough… it runs entirely via Claude Code.

He was kind enough to show me what's under the hood 👇


1️⃣ One agent runs everything

Naga built a single content agent that acts as the orchestrator.

It connects to 3 things: Notion (memory), Apify (post monitoring), Slack (updates).

His tweets, threads, long-form articles are all produced end-to-end from one terminal.


2️⃣ The memory layer is what makes it smart

Any AI system is only as good as its data. 
So the memory holds:

- Client profiles (everything public & verifiable about you)
- Content library (every past post across LinkedIn, X, YouTube)
- Draft memory (so it never recycles the same ideas)
- Idea bank (every concept from past ideation sessions)
- Sentinel intel (inspiration accounts it tracks for winning patterns)

It all gets consolidated into a cache, so the agent only pulls the most relevant data, and output quality never slips.


3️⃣ Skills give it your voice

For each client, the agent invokes specific skills:

- A writing skill (trained on your posts + proven copywriting frameworks)
- A voice profile (tone, phrases, energy, so it never sounds like a machine)
- An algo scorer


4️⃣ It scores every idea against the real algorithm

X open-sourced its full ranking algorithm on GitHub.

Naga forked it and built an algo scorer that ranks each content idea (S-tier, A-tier…) on:

- Bookmark probability
- Reply magnetism
- Hook velocity

Then it cross-references theory against what's actually working on your account.


5️⃣ Human judgment stays in the loop

The agent ideates, scores, and flags. 
But Naga decides the format and angle himself.

It also enforces "cool downs", flagging any topic that overlaps with something posted in the last 45 days, so you never repeat yourself.

And every output ends with a fact-check + AI-tell scan before it ships to Typefully or Notion.


The best part: he doesn't use it to go faster.

He uses it to surface angles and insights no human could, by reading thousands of posts a week to find exactly what works.


Want the full breakdown (the skill file structure, the algo scoring, the exact APIs, and how to build your own)?

Comment "Content OS" and I'll send you the full video.

This Sales Funnel took us from 0 to $7,000,000 ARR.

It adds ~45K to 90K in new MRR every month.

Here's the step-by-step breakdown:


1️⃣ Awareness

Not every eyeball is created equal.

That said…

More visibility

= more leads
= more meetings
= more conversations
= more proposals sent
= more closed-won revenue.

We generate:

- ~120,000 quarterly website visits from AEO, SEO & Ads
- ~2 to 3M monthly impressions from LinkedIn
- ~1 to 3M monthly impressions from X
- ~8 to 25K monthly views from YouTube

To do so, we use a few platforms such as:

→ Taplio, Scripe, Notion for content production
→ Fibbler for LinkedIn Ads
→ AirOps, Ahrefs for SEO


2️⃣ Interest

It's one thing to attract eyeballs; another thing entirely to push people to take action.

To boost our 'conversion rates' we:

→ run monthly webinars to nurture prospects
→ created lead magnets & guides that educate them
→ built free GTM mini-tools to collect email addresses
→ layered visitor identification tech to re-engage qualified leads who didn't act

To do so, we use a few platforms such as:

→ Claude Code to ship free GTM mini-tools
→ Instantly.ai, Vector 👻, Midbound for visitor identification


3️⃣ Consideration

Once prospects are intrigued by what you do… they need to understand 'how you can help them'.

For that, we:

→ recorded a few VSLs to properly explain our offering
→ share success stories across our site

We use:
→ Wistia to host our VSLs & video testimonials.


4️⃣ Conversion

This is what it ultimately comes down to → turning leads & conversations into actual revenue.

For this, we want to maximise the number of qualified leads we talk to.

We make that happen by:

1. Running email marketing sequences to nurture our pipeline
2. Automating warm outreach campaigns to 'high-potential' leads
3. Opening up as many slots as possible for prospects to meet our team
4. Jumping into Google Meet convos where we sell as 'consultatively' as possible

A few platforms help us pull this off:

→ Clay, PredictLeads to segment high-potential leads
→ Expandi, lemlist, Instantly.ai for outreach
→ Attention meetings & pipeline insights
→ Qwilr to craft proposals


Far from perfect… but it works pretty well for us.

What would you improve here? 👇

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:

▶️ 𝗧𝗵𝗲 𝗳𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 (built once per person):

→ Voice profile
25-question conversation, not a form. How someone talks before AI touches anything.

→ ICP document
3 buyer tiers, mapped to the language each tier uses to search for solutions.

→ Content pillars
3 to 5 themes every post traces back to.

Many people skip this and go straight to writing.
Then wonder why everything sounds the same.

▶️ 𝗧𝗵𝗲 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗹𝗮𝘆𝗲𝗿 (runs weekly):

→ Apify browses LinkedIn for what's performing in your niche right now
→ Reddit, Inc. for real audience pain language
→ YouTube for frameworks worth adapting
→ X/Twitter for live debates
→ Fireflies.ai transcripts from client calls (the highest-signal source)

Six workers in parallel.

▶️ 𝗧𝗵𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗹𝗶𝗻𝗲:

→ Hook generator
50 templates, 20+ variations per idea

→ Copy developer
Full draft in your documented voice

→ Post grader
5-dimension rubric, /50. Below 38? Back to rewrite.

→ Gemini for visuals. Figma + Canva for refinement.

AI drafts. You sharpen. The voice profile is the guardrail.

▶️ 𝗥𝗲𝗽𝘂𝗿𝗽𝗼𝘀𝗲 (one post, many formats):

→ One LinkedIn post that performed well = one validated idea
→ Restructured into X/Twitter thread, newsletter, blog, video script, carousel
→ Each format rebuilt for how people consume on that platform

Repurposing is not copy-pasting. It is restructuring.

▶️ 𝗥𝗲𝗳𝗿𝗲𝘀𝗵 + 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻:

→ Feedback capture logs every session automatically
→ Pattern recognition every 5 sessions: what keeps getting rewritten, where voice drifts
→ Monthly voice refresh: pull new transcripts, compare against voice profile
→ Content audit quarterly: are your pillars still relevant to where the market moved?

The system gets smarter the longer it runs.

▶️ 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆:

→ ClickUp for client handoff
→ Taplio for scheduling
→ Performance data fed back into Claude for the next cycle

One terminal. 27 skills. Each does one job.

Shoutout to Pilar Varela for designing this cheat sheet and making it look incredible.

Research → ideas → hooks → copy → grade → repurpose → refresh → deliver

Your folder structure is your content brain.

This is how 24 people sound like themselves, at scale.

You can also apply this system in Claude Cowork!


P.S: Comment "CONTENT" if you want the full cheat sheet in high resolution.

And follow Mai-Lan Khong if you want to gain deeper insights around leveraging Claude Code to generate eyeballs & leads on LinkedIn.

How to get 30%+ reply rates with LinkedIn DMs:

(Based on 200+ pitches that hit my inbox this month)

Context: I've sent 10M+ outbound messages last year via my $7M ARR GTM agency.

Now?
I spend more time cleaning my inbox than launching campaigns.

I'm the Founder & CEO of a 37-person company.
Like many execs, I open and reply to cold DMs.

In an ideal world, I'd reply to most DMs...
But I don't.

Here's how I decide whether I reply or not…

And... how I rebuilt my own LinkedIn DM frameworks around it 👇


✅ DMs offering *free* work

Some people offered to rewrite our landing pages.
Others offered to draft sample scripts for my YouTube.

During ColdIQ's early days, we'd run campaigns giving away custom lead lists for free…
And we'd get way more replies than we'd know what to do with.

Pro tip: Imagine the prospect already signed as a client.
What's the first thing you'd ship for them? Do it already, for free.


✅ DMs that ask for an internal referral

If you've actually researched what we're working on at ColdIQ and found out who owns it, I'll happily route you to the right person.

Pro tip: You can scale this play by stacking buying signals inside of Clay with their 'find person' feature to surface a colleague in a specific department.

(Also, my friend Brahim Sliti at LeadsFactory built a live 'find person' feature that catches contacts other tools miss)


❌ DMs asking to 'pick' my brain

I receive many requests from founders/builders who want feedback on their new tool/startup idea.

I'd love to... but time is tight, and there's little to no upside for me.


✅ DMs w/ actually valuable insights

I published a variation of this post a while back and got a great take from Jihad Iqbal worth sharing 👇

"
The best 'free work' isn't actually work. It's insights.

I send technical audits of prospects' platforms.
→ 5-minute analysis
→ 3 specific optimization opportunities
→ No strings attached

E.g: 'Your checkout flow has a 23% drop-off at payment verification. Here's why + 2 quick fixes.'

- Takes me 10 minutes.
- Shows instant value.
- Demonstrates expertise without asking for anything.

The key: make it so valuable they'd normally pay for it.

Generic 'free consultation' = everyone does this.
Specific actionable insight = rare.
"

This sort of strategy will always keep working ☝️


❌ DMs with 0 personalization

Plenty of teams still run pure-volume plays, blasting the same template to everyone.

Appealing to everyone = appealing to no one.
You're wasting your DMs.


✅ DMs from 'notorious' people

A bit unfair, but WHO sends the message matters as much as the message itself.

If a public figures in your space (e.g: Alex Hormozi) sent you the worst LinkedIn DM ever… you'd still want to reply.

I watched my own reply rates greatly increase as I built up my personal brand.

Pro tip: If you're in B2B, build up your LinkedIn profile.

I haven't got any space left... more tips in the carousel.

PS. What's the best DM you ever got? Share it below 👇