Scale revenue with AI & tech

I decided to skip the traditional corporate path & start building in the AI x Sales space at 27. 
Here's the journey so far:

Age 18-21: Business school in Brussels, realized I needed practical experience
Age 22: Coding bootcamp + lucky Bitcoin exit gave me 50K to fund a world trip
Age 23: 12-country world tour learning new skills every month in a new country.
Age 24-26: Growth hacker roles at German startups, learned systems but felt unfulfilled 
Age 27: Co-founded ColdIQ with Mich
Age 28: Hit our first major milestones learning everything the hard way 
Age 29: Scaled to $6M ARR and became Clay's #1 global partner. Running a business that does $477K/month with 30+ team members across 4 continents.

It's been wild. Today through ColdIQ, we help B2B companies build AI-powered sales systems that work. 

We've run outbound for 300+ organizations and generated millions in pipeline.

The best part? We built this entirely remote with people I genuinely enjoy working with. 

Turns out you can have rapid growth AND life quality - you just need the right systems.

If you want to build your own AI sales agency, I teach everything in our ColdIQ Agency Accelerator, the exact playbook we used to hit $6M ARR in 2 years. 

From Clay workflows to hiring A-players to scaling without burning out.

If you're already doing $1M+ ARR and want help scaling your existing business, let's talk about our done-for-you services.

https://coldiq.com/

If you're not there yet, I share everything for free on LinkedIn and in our 7-day email course (in the featured section).

The AI x Sales opportunity is the biggest wealth creation event of our generation. The market is so massive that there's room for everyone to win.

Ready to start your agency? Join 130+ founders in our accelerator.

https://coldiq.com/accelerator-program

Alex Vacca 🧠🛠️

I turned 30 earlier this month.

I had no idea what I was doing for most of my twenties.

Moved countries. Started stuff that failed. Said yes to random things just to see what would happen.

Probably looked lost from the outside.

But here's what I think now:

Focusing too early is a trap.

I see people at 22 trying to "find their thing" and lock in fast. Pick the career. Pick the country.

But how do you know what to focus on if you haven't tried enough things yet?

You don't.

So you end up focused on the wrong thing. And you don't even know it.

That's worse than being "lost" for a few years.

Some people skip the messy phase. They lock in early. Look successful at 25. Then wake up at 30 wondering why they're not happy.

They focused, but not on the right things.

I needed those years of trying random things. Not because they all worked. Most didn't. But because now I actually know what I want.

I know which friendships matter. Not trying to keep up with 50 people anymore.

I know where I want to live. Done being the eternal nomad.

I know what we're building with ColdIQ. Done chasing every shiny opportunity.

We tested a lot in 2025. New offers. New markets. Some worked. Some didn't.

But now the picture is clear. We go into 2026 knowing exactly what to double down on.

You can't focus on the right thing until you've explored enough to know what the right thing is.

To the next decade 🥂

Co-Founder @ ColdIQ ($6M ARR) | Helped 300+ companies scale revenue with AI & Tech | #1 AI Sales Agency

These 10 roles didn't exist a year ago.

Now they're replacing entire teams.

I've talked to so many people worried about AI "taking jobs."

Meanwhile, the companies actually hiring are creating new roles that didn't exist 12 months ago.

Here's what they're hiring for:

GROWTH ROLES

1/ Vibe Marketer / Head of Demand Gen

Runs fully automated funnels end-to-end.
Ads → landing pages → emails → workflows.

Stack: ChatGPT, Make, Customer.io, Framer, arcads AI, Fibbler

2/ Social Media Engineer

Uses AI to research what's working, write posts, and distribute across platforms.

Stack: Runway, Midjourney, Ideogram, Make, Taplio, Scripe

3/ Video Content Engineer

Creates high-production video. AI handles the editing, cuts, effects, voices, animation.

Stack: Google Veo, Runway, Arcads, ElevenLabs, Kling AI

4/ Content Engineer

Builds SEO + content systems. Ranks in Google, ranks in LLMs, builds programmatic content machines.

Stack: AirOps, Mentions, Surfer, Ahrefs, AlsoAsked

5/ GTM Engineer

Finds prospects, enriches data, personalizes messaging, runs outbound at 10x the volume.

Stack: Clay, Instantly.ai, Artisan, Expandi, FullEnrich

OPERATIONS ROLES

6/ Ops Engineer

Deletes half your manual work overnight.
Every system → automated. Every process → rebuilt.

Stack: n8n, Flowgent, Airtable, Slack, ClickUp

7/ RevOps & Attribution Engineer

Owns the full customer journey. Tracks anonymous research → pipeline → conversion → retention.

Stack: Attio, Unify, Common Room, Usermaven, Default, Clay

8/ Talent/HR Engineer

Sources candidates, screens them, automates half the hiring process.

Stack: Clay, LinkedIn, Airtable, Ashby, Fetcher

PRODUCT ROLES

9/ Product Engineer

Builds apps without waiting on engineering timelines. AI handles design, code, logic, prototypes.

Stack: Lovable, GitHub Copilot, ChatGPT, Figma AI, Supabase, Guideflow

10/ AI Agent Engineer

Builds agents that run workflows across sales, ops, support, and product.

Stack: Relevance AI, n8n, Voiceflow, Claude

These companies are rebuilding departments around AI-first workflows.

Smaller teams. Higher output.

By 2026, most teams will have at least 5 of these roles.

Which one are you seeing the most demand for?

lemlist hit $37M ARR.

Here’s the outbound engine behind it (and why it works so well)↓

Most people think lemlist grew by sending better cold emails.

They didn’t.

They built a system that turns content → intent → enriched data → personalised outreach at scale.

Here’s the exact workflow:

1️⃣ Content that attracts their ICP (not vanity content)

An influencer or internal creator publishes on LinkedIn - but not just any content.

It’s written to attract one specific persona with a problem lemlist solves.

Every comment, like, and share = a signal.
A signal that someone cares about the topic.

They use:

- Jungler to scrape all post interactions
- LinkedIn for content publishing

Because people are already familiar with their brand, reply rates are way higher than pure cold outreach.

2️⃣ Data routing & enrichment

Not every engager is worth contacting.
So they have a system to score, clean, and enrich.

They push all extracted contacts through:

- n8n for data routing
- Clay as the data hub (enrichment, scoring, workflow automation - all in one place)

Scoring includes:

→ Job title relevance
→ Engagement type
→ ICP match
→ Buying power indicators
→ Existing customer check
→ Tech stack + initiatives + recent activity

Here’s the thing nobody talks about:

If the enrichment is bad, the personalization fails.
If the personalization fails, the whole system collapses.

This is where lemlist invested the most time - and where most teams cut corners.

3️⃣ AI personalization & multi-channel outreach

Personalization isn’t “{first_name}, loved your post!”

They use:

lemlist’s AI variables → genuine first-lines for every prospect
Multi-channel sequences → email + LinkedIn for maximum reach

A typical opener:

“Hey {{first_name}}, saw you engaged with our post on {topic}. Looks like you’re focusing on {initiative} — happy to share what’s worked for us.”

Warm context + real personalization + multi-channel = consistent replies.

Teams spend hours “perfecting” cold emails.
lemlist spends hours perfecting context - and lets AI scale the rest.

4️⃣ Meeting booked

Warm, relevant outreach performs.

This is one of the most efficient ways to:

→ Warm up leads
→ Segment the highest quality ones
→ Gently ping them with context at exactly the right time

This is one of lemlist's highest performing outbound plays. It's also a play we love to run at ColdIQ.

They've spent months testing and optimizing this workflow to run on autopilot.

The compound effect takes time, but when it kicks in, it's massive.

If you want to implement something like this - we'll literally run this entire workflow for you, along with other high-converting GTM plays.

Drop me a DM👇

We just crossed $6,000,000 ARR.

Here's the tech stack that made it happen ↓

1️⃣ Content & Inbound

We generate over 100 warm leads per month via LinkedIn.

These come from my account (45,600+ followers) and the rest of the ColdIQ team (230,000+ followers).

I use:

- Scripe for post ideas + analytics
- Notion as my content calendar to keep me organised

We generated ~50M impressions on X last month, which is honestly wild. And for this we use:

- Typefully to visualize & draft threads: makes the whole process way smoother

I am getting some momentum behind my YouTube, so at the moment I use:

- Two Sony FX30 camera for filming
- Tella for screen & audio recording (super clean output)
- vidIQ to gain inspiration from successful videos, basically reverse engineering what works

We drove 102,000 visitors to our website in the last 90 days. 35,000+ come from SEO alone. We use:

- Ahrefs for keyword research (can't live without it)
- Webflow's CMS to host/publish our articles
- Surfer to optimize our copywriting for search engines

We have 7,000+ subscribers to our newsletter, and growing. We use:

- beehiiv to send our welcome sequence & weekly emails

2️⃣ Outbound Engine

- We identify website visitors with Instantly.ai & Vector 👻
- Based on their firmographics + page visit, we:

→ Email them via Instantly.ai

→ or connect + send voice notes via lemlist

- more personal touch

- For data: Prospeo.io, LeadMagic, Clay, FullEnrich
- For AI research & personalization: ChatGPT, Claude
- For deliverability: a mix of Gmail + Outlook inboxes

3️⃣ Ops & Project Management

- Everything runs in Airtable
- We automate with n8n, Make or Relevance AI, depending on what we're trying to do
- Big-picture process flows? We map those in @Puzzle
- Internal comms → Slack

4️⃣ Sales & Closing

- Calls get booked through Default
- We use Attention to record & summarize meetings
- Proposals: Qwilr (clean, professional, gets signed)
- Banking: Mercury
- Contracts: PandaDoc
- Payments: Stripe

We've spent months testing, tweaking, and optimizing this entire stack to work together seamlessly.

Tech moves fast. Really fast.

New tools drop every week, and what worked 6 months ago might not be the best option today.

I break down the complete stack + how we actually use these tools on my YouTube.

Subscribe here → https://lnkd.in/dKsZpY2D

What tools are you running? Drop them below 👇

Content helped ColdIQ hit $6M ARR.

And this workflow turns every single post into pipeline.

We built a system that converts LinkedIn engagement into qualified meetings.

Here's the breakdown we use at ColdIQ:

STEP 1: CAPTURE ENGAGEMENT IN REAL-TIME

Every like, comment, and profile view gets tracked automatically.

When someone likes OR comments on your post they're basically telling you they actually care about what you're talking about.

We use Trigify.io and Teamfluence™ to monitor all LinkedIn engagement signals.

Most people get that engagement and then just move on to the next post - we actually do something with it.R

STEP 2: INSTANT ENRICHMENT

The moment someone engages, Clay pulls full contact and company data.

Job title, company size, tech stack, funding rounds, hiring signals - all of it happens in seconds.

STEP 3: AI QUALIFICATION

Not everyone who likes your post is actually a good fit prospect.

We use ChatGPT and Claude to score each contact against our ICP criteria.

- Low fit? Filtered out immediately
- High fit? They move to the next step

The AI looks at things like:

- B2B vs B2C
- Geographic fit
- Company size match
- Estimated customer lifetime value

STEP 4: CRM DEDUPLICATION

Before we do anything, we check: is this person already in our system?

Already a customer? Already in active conversations? Skip them completely.

New contact? Push to sequence.

The fastest way to look like an idiot is cold emailing your existing customers.

STEP 5: MULTI-SOURCE EMAIL VERIFICATION

We waterfall through Prospeo.io, FullEnrich, and LeadMagic until we get a verified email.

No single provider has 100% coverage.

But stack three of them together? You're getting close to 95% hit rate.

STEP 6: PERSONALIZED OUTREACH ON AUTOPILOT

Each prospect receives a tailored message via Instantly.ai that references the exact post they engaged with.

Not generic "Hey {firstName}" nonsense.

It's contextual: "Saw you engaged with my post about Clay workflows - we just built something similar for a client in your space that books them 2-3 meetings per week."

STEP 7: MEETING BOOKED

This system generated 144 meetings for us in a single month.

And it runs 24/7 without human intervention because:

- Every piece of content becomes a lead magnet
- Every engagement becomes a qualified opportunity
- The entire conversion happens automatically

If you're posting on LinkedIn without this system you're basically just creating content and hoping meetings happen (which they won't).

That's not how it works in 2025.

The companies winning are the ones that built actual systems to convert attention into pipeline.

Are you tracking your LinkedIn engagement right now?

(We can build this entire workflow for you, plus show you the other plays that got us to $6M ARR)

P.S: Tools don't book meetings. Systems do. And this is the system that's working right now.

The sales flow that generated $966K ARR.

Nearly $1M in new revenue in 30 days.

Most people see the content - the LinkedIn posts, the videos, all of it. 
But content is just the front end.

Behind the scenes, there's a whole system.

The team posts across LinkedIn daily.

But none of that means anything without closers who can convert attention into pipeline.

That's where Dujam Dunato and Jan Rasmussen Mitjana  come in.

They're the ones handling inbound, qualifying leads, running calls, and closing deals at scale.

Here's the exact sales flow they used to generate $966K ARR in one month:

1/ Pre-call qualification

We only book calls with prospects we know we can help.

Qualification happens automatically through:

- Inbound routing systems
- Video testimonials that build trust before the call
- Website assets that pre-educate prospects

LinkedIn connection automation for long-term nurturing

Tools:

↳ Default - auto-qualification + routing
↳ lemlist - LinkedIn connection automation
↳ VSL - makes sure prospects understand our offer before speaking to us

This removes 90% of the time-wasters and lets the team focus on revenue-critical conversations.

2/ Discovery & research

Before any call, we prepare - but we don’t do it manually.

We use:

a. Automatic prospect intelligence via Clay + Zapier
b. Funding stage + headcount research
c. Stakeholder identification + role tenure
d. Tracking strategic hires, initiatives, and timing signals

Tools:

↳ SPICED (Winning by Design) - call structure
↳ Clay + Zapier - pre-call research + aggregation
↳ Fireflies.ai - real-time AI note-taking + CRM automation
↳ Qwilr - digital sales room + proposals

This means reps walk into every call fully briefed without lifting a finger.

3/ Follow-up & nurturing

For leads who aren’t ready to sign immediately, we run:

a. Automated follow-up sequences with real value
b. YouTube video follow-ups (no boring text-based emails)
c. Multi-threading across LinkedIn to engage all decision-makers

Tools:

↳ Customer.io & Attio - automated follow-ups
↳ LinkedIn - multi-threading workflows
↳ YouTube content from me & Michel - authority-led nurturing

This keeps prospects warm without our team writing endless manual replies.

4/ Why this closed $966K in one month

Qualification: Only the right people reach our closers
Education: Prospects arrive informed, reducing friction
Automation: Reps spend their time selling, not admin

Content: LinkedIn + YouTube turn strangers into warm, ready-to-buy leads

If you have any questions, feel free to drop any of the guys above a message!

4 GTM agents that save 2-5 hours per client every day.

They run:

Prospecting, content
AND market research on autopilot.

Most teams think AI is about writing faster. It's not.

It's about eliminating the 80% of GTM work that never should've been manual in the first place.

Here's the system:

AGENT 1: LEAD RESEARCH AUTOMATION

Manual prospecting is dead.

Every company profile gets captured, enriched, and scored automatically.

Pipeline:

- GhostGenius captures profiles
- We filter by credibility signals (200+ followers, real website, actual activity)
- GPT scores each profile against our ICP (in real time)
- LinkedIn IDs dedupe contacts so we never hit the same prospect twice

Clean, qualified prospects → straight into Google Sheets for outbound.

AGENT 2: LOCAL PROSPECTING ENGINE

Apify pulls local businesses from Google Maps.
Raw Google Maps data is a mess. Half the info is missing or outdated.

The fix:

- Google Search API fills missing metadata
- We scrape each website for keywords, offers, tech stack
- GPT classifies and enriches the business profile
- We extract missing emails, numbers, contact pages

Export to Airtable or Sheets → done

This turns low-quality data into sales-ready records.

AGENT 3: BRAND CONTENT GENERATOR

Drop a brand brief into a Google Form. Wake up to:

- LinkedIn posts
- Carousel copy
- Newsletters
- Hooks
- CTAs
- Variations
- TOV matched drafts

All written in your style, using your positioning.

Drafts go straight into Notion or Google Docs, ready for a 10 minute edit.

AGENT 4: REDDIT INTEL COLLECTOR

This one is my unfair advantage.

Most GTM teams ignore Reddit.
But it’s where your prospects say the things they’d never admit on a sales call.

Pipeline:

- Input a brand or website
- GPT identifies ICP signals
- Reddit API scrapes relevant threads
- GPT summarises pain points, the language prospects use, their frustrations, what they actually care about
- A daily insight report sent to your inbox

This is the closest thing to reading your market’s mind.

THE RESULT: AUTOPILOT PIPELINE

These 4 agents work together to create a system that runs 24/7:

1. High-fit leads → already in your CRM
2. Weekly content → drafted before you wake up
3. Market intelligence → delivered before your first coffee
4. Zero hours wasted on research, scraping, or repetitive admin

You’re not “doing more.”
You’re just letting the system do what humans shouldn’t.

And here’s the real shift:

> Companies scaling in 2025 aren’t hiring more SDRs.
> They’re eliminating the work SDRs used to do.

If you’re still manually researching prospects and writing content from scratch, you're working 10x harder than necessary.

We build these exact workflows in n8n - plus the other automation plays that save 15+ hours per week, per team member.

Which one are you building first?

4 GTM n8n Agents 

Here’s what our numbers look like today:

→ $6,000,000 ARR
→ $40k–$80k new MRR added each month
→ Predictable pipeline month after month

All powered by a GTM funnel that took us 18 months to refine.

Here’s the full breakdown, the exact one we still use internally.

1️⃣ Awareness (the volume engine)

Not every impression is equal, but volume absolutely matters.

Here is how we look at it:

Visibility → Leads
Leads → Meetings
Meetings → Proposals
Proposals → Revenue

Here's what we're generating right now:

100,000+ quarterly website visits (SEO + Paid)
2.5M–3M monthly impressions on LinkedIn
5K–20K monthly YouTube views

Tools:

→ Taplio, Scripe, Notion (content)
→ AirOps, Ahrefs, Surfer (SEO)
→ Fibbler, arcadsAI (paid)

2️⃣ Interest

Getting seen is easy. Getting buyers to take action is what separates good from great imo.

So we increase conversion rates by:

→ Running monthly webinars (warm nurturing at scale)
→ Sharing lead magnets that educate
→ Using one-step smart forms to auto-route leads instantly
→ Identifying anonymous visitors and re-engaging them (this one's a game-changer)

Tools:

→ Instantly.ai, Vector 👻, Midbound (visitor ID)
→ Default (automated routing)

3️⃣ Consideration

Attention doesn't convert unless buyers understand what you do.

So we:

→ Built multiple VSLs that explain the offer clearly
→ Share success stories with full breakdowns of how we did it

Tools:

→ Wistia (VSL hosting + video testimonials)

4️⃣ Conversion

At this stage we talk to more qualified leads, more often.
Here's how we maximize conversion:

Email nurture sequences keeping the pipeline warm
Automated outreach to high-potential accounts
More open slots for sales calls
Consultative selling on Google Meet

Tools:

→ Clay, OpenAI (lead scoring + segmentation)
→ Customer.io, lemlist, Instantly.ai (outbound + nurture)
→ Attention, Attio (meeting intelligence, pipeline analytics)
→ Qwilr, PandaDoc (proposals, contracts)

Is it perfect? No.
Does it work? Very well.

This GTM system powers our growth month after month. We're always iterating, always improving.

What would you improve? 👇

Valley books 150+ meetings per month with ONE person.

I’m going to show you exactly how they’re doing it.

B2B companies are still hiring SDR teams for cold outreach.

Valley built a crazy system instead to tackle this.

Their CEO Zayd Syed Ali figured out how to:

- Generate demand
- Capture signals
- Book meetings automatically

Any founder can copy this... here's how 👇

1/ Content

Zayd turns conversations → content → leads.

To do this he:
- Records every call with Fireflies.ai
- Mines calls for clips, hooks, objections, insights
- Runs bi-weekly content interviews (Riverside)
- Repurposes into short-form content

On top of this he posts 5x/week on LinkedIn using Taplio, Bluecast, Wispr Flow

Two-track strategy:

Company page → social proof
Testimonials, case studies, new user announcements.

Founder page → POV + story
Founder journey, insights, opinions.

Tools: Shottr (screenshots), Shots (graphics)

This means that...
When he reaches out, prospects already know him.
They’ve seen the brand 3–5 times.

2/ Signal-Based Prospecting

Traditional SDR model:
Buy Apollo list → blast → hope for 2%.

Zayd’s model is different:
They only reach out to people showing interest.

So, every Friday they scrape:

- Profile visitors
- Website visitors (Valley, RB2B, Vector 👻)
- Post engagers
- Company page followers

Valley then:

- Auto-qualifies
- Scores fit (high/medium/low)
- Filters competitors
- Enriches contact data

This alone increases conversion by 5–10x.

3/ Personalized outreach

For every qualified lead, Valley:

- Runs deep research
- Creates relevant (contextual messaging)
- Personalizes at scale

The output:

- 30%+ reply rates
- 40–50 positive responses per day

This is one system doing the work of 10 SDRs.

4/ Lead Management & Closing

Lead replies → goes silent?
Zapier → Slack → instant callback.

Alex Nelson (Founding AE) jumps on it.

How they close:

- Google Meet
- DMs (accelerator closes in chat)
- Paage.io for proposals
- Stripe for payments

The result:

- 150+ meetings per month.
- 1 operator running everything.
- AI + connected systems doing the work of 10 SDRs.

If you want to build something like this for your company,
just drop “SYSTEM” below and I’ll happily walk you through it.

Lemlist's CEO showed us how they built a $37M ARR SaaS.

One thing stood out.

Every part of their growth has a system behind it.

Here's the breakdown:

1️⃣ Content Engine

Their team has 300,000+ combined followers on LinkedIn.

And it's not random. It's coordinated:

- Guillaume Moubeche
- Charles Tenot
- Kévin Moënne-Loccoz
- Lucas Perret
- Tal Baker-Phillips
- Erwan Gauthier

Each owns a lane (growth, SaaS, CEO lessons, etc.)

Plus 200K+ monthly SEO visitors.

Stack: Figma, Storyblok, Taplio, Ahrefs, Semrush

2️⃣ Outbound Engine

Yes, they use lemlist.

But there's a lot more behind it:

Data: Apollo, Prospeo.io, BuiltWith, Crunchbase
Intent: LoneScale, Snitcher, G2
AI: Dust, Clay, OpenAI, Claude, Mistral

They find buyers before they start looking.

3️⃣ Product Infrastructure

200K+ monthly visits → 7–8% convert → 15,000+ signups/month.

Stack: BigQuery, Google Cloud, Holistics, RudderStack,Replit, Mixpanel

4️⃣ Revenue Ops

Last month their sales team closed $685K ARR.

Sales: Hyperline, Claap, lemcal, HubSpot
Marketing: Customer.io, Default, Webflow
Finance & Support: Stripe, Qonto, Pennylane, ProfitWell, Intercom
Team: Slack, Notion

This is what $37M ARR ops looks like.

What part of their stack surprised you?

138 meetings from 144 LinkedIn posts (that's almost 1:1).

Here's our $6M ARR workflow:

Step 1: Content volume that converts

We published 144 LinkedIn posts last month. Not random content, everything's built around ICP pain points.

We're using Taplio and Scripe for inspiration, but we're analyzing what books meetings. We look at hooks, visuals, and formats from posts that converted.

Step 2: Paid amplification with actual ROI tracking

$5,100 in LinkedIn Ad spend generated 155K extra impressions at $33 CPM. But we ONLY boost organic posts that have already booked meetings.

We track which persona converts from each post type, then push those winning posts to that exact audience.

Step 3: Intent capture across every touchpoint

This is where most agencies lose pipeline. We're tracking everyone who shows intent but doesn't book.

Tool stack breakdown:

Website visitors: Instantly.ai, Midbound Vector 👻 and Common Room for anonymous visitor identification.

LinkedIn engagement: Trigify.io and Teamfluence™ for social signal monitoring

Step 4: AI-powered lead scoring in Clay

Every lead gets routed to Clay for intelligent scoring. We use Claygent for lead research, then OpenAI to segment into 3 tiers based on fit and timing.

Different tiers get different outreach strategies. A Tier 1 lead gets way more personalization than a Tier 3.

Step 5: Data enrichment that works

Prospeo.io and LeadMagic for emails, FullEnrich for phone numbers - all happening inside Clay so we don't lose context.

Step 6: Multi-channel re-engagement based on score

This isn't random outreach. Every message is contextual, every touchpoint provides value.

The results that matter:

- Made us 557k in revenue for October
- Team grew to 30+ FTEs
- 750+ meetings booked in 2025 already
- One client: $272,600 closed at 7X ROAS in 90 days

The system works because it's not just outbound - it's orchestrated revenue generation across every touchpoint where your buyers show up.

We're adding this GTM workflow FREE for the next 3 ghostwriting clients (15 of 18 spots already taken). Comment 'CONTENTIQ' to grabs yours ☝️

Cold email got us to $6M ARR.

LinkedIn Ads took our results to an entirely different level.

People keep asking me which one generates more leads.

We have run cold email for over 200+ B2B companies - and layered LinkedIn Ads on top.

1/ What it takes to make each one work

LinkedIn Ads

You win or lose on:

- Audience targeting
- Scroll-stopping creative
- Landing pages that convert

If one piece breaks, the whole thing falls apart.

Cold Email

The game is all about:

- Short, punchy messaging
- Clean personalization
- Perfect infrastructure

Nothing else matters if your email doesn't reach the inbox.

2/ Speed to results

LinkedIn Ads:

Slow start. Setup, approvals, creative testing, landing page tuning.
Takes time but compounds fast once you find a winner.

Cold Email:

Instant.
If your domain + infra + offer are dialed in, you can book meetings on Day 1.

3/ Cost to reach 10,000 prospects

LinkedIn Ads:
~$1,500–$2,500
(depends on creative + ~$30 CPM)

Cold Email:
~$500–$1,000
(infrastructure + data + sending tools)

Pretty similar, but cold email has more moving parts.

4/ The stacks that work

LinkedIn Ads Stack

Figma, CapCut → creative
Default, Zapier → routing + workflows
Fibbler, Usermaven → attribution + analytics

Cold Email Stack

Instantly.ai, lemlist → sending
ColdIQ infra + Instantly → domains, warmup, deliverability
Wiza, LeadMagic, Prospeo.io, FullEnrich → data + enrichment

5/ Personalization depth

LinkedIn Ads:

Segment-level personalization.
Everyone in “Sales leaders in AI SaaS” sees the same creative.

Cold Email:

True 1:1 personalization.

- Individual pain points
- Individual triggers
- Individual context

6/ Deliverability & visibility

LinkedIn Ads:

95–99% visibility
Guaranteed. They see it.

Cold Email:
60–70% inbox placement if your infra is world-class.
Spam risk always exists.

7/ The real challenge with each

LinkedIn Ads:

Finding the perfect creative + offer + landing page combo.
Most people burn budget before they get the formula right.

Cold Email:

Deliverability.
The technical side is what kills most campaigns.

So which one works better?

Cold email is:

→ Faster
→ Cheaper to test
→ Easier to personalize

LinkedIn Ads are:

→ More scalable
→ More visible
→ More predictable

We run both because they multiply each other:

Cold email drives conversations.
LinkedIn Ads creates familiarity.
Together, reply rates go up, CPL drops, and close rates jump.

What are you running right now - LinkedIn Ads, cold email, or both?👇

How I'd build a repeatable outbound system if I had to start from scratch:

(There's a public database of your competitor's churn reasons... and most teams aren't using it)

1/ I'd start by scraping competitor reviews

You can use G2. Or Capterra. Or Trustpilot.

And it's full of pain points, written by people actively looking for a better option.

Focus on 2–3 core competitors with a decent number of reviews.

It's a goldmine. You'll find everything from UI complaints to missing integrations to slow support.

Tools you can use:
- n8n / Make (for scraping)
- Apify / PhantomBuster (pre-built scrapers)

2/ I'd extract pain themes using AI

We don't read these manually.

We use ChatGPT to group complaints into themes:
- Feature gaps
- Support response time
- UX or onboarding issues
- Security concerns
- Pricing

You now have a live database of what your prospect hates about their current tool.

Tools you can use:
- ChatGPT (for clustering complaints)
- Google Sheets (for organizing themes)

3/ I'd align those complaints with my actual positioning

Map those complaints to your actual value props.

Here are 3 examples:

a. If their reviews mention "hidden fees," and your pricing is transparent, lean into that.
b. If they complain about integrations you support, name them.
c. If support is a weakness and you have a live-chat SLA, say it.

Now you're not just pitching. You're presenting a clear solution to a known frustration.

Tools you can use:
- Loom (for quick demo videos)
- Your pricing page / integration docs (as proof points)

4/ I'd launch targeted outbound

Once we know who's unhappy and why, we push that data into:
- Clay (for enrichment + personalization)
- Instantly.ai (for sending)

The messaging angle is already validated, and the frustration warms the list.

You're simply showing up with a better option.

Tools you can use:
- Clay (enrichment + personalization)
- Instantly.ai / Smartlead (for sending)

5/ I'd automate it into a system that runs weekly

We've built versions of this using:
- n8n (for scraping)
- ChatGPT (for clustering complaints)
- Google Sheets (for inputs)
- Clay + Instantly.ai (for execution)

It runs weekly. We review angles, update copy, and refresh the list.

Once it's live, it becomes one of your highest-converting outbound motions.

Why? Because you're hitting real pain points with a proven better solution.

Tools you can use:
- n8n / Make (workflow automation)
- ChatGPT (analysis)
- Google Sheets (central hub)
- Clay + Instantly.ai (execution)

6/ I'd run this consistently

This works across industries, and especially well in crowded SaaS categories.

But it requires setup. And it requires letting the system run long enough to see results.

Give it a shot.

P.S: Questions? Drop them below or DM me. Happy to unpack any step. 👇

ColdIQ made 557k in revenue last month.

80% came from content.

Not ads.
Not cold calling.
Content.

Last month we launched ContentIQ - the system behind all of it.

Most people talk about “posting more.”

I want to show you what actually drives revenue.

Here’s the full breakdown of how we do it at ContentIQ 👇

1️⃣ Content foundation (the part everyone skips)

Before the engine runs, we build the infrastructure.

Phase 1: Onboarding

The non-negotiables:

- 1-hour strategy call → sharpen positioning
- Content audit → reality vs perception
- Voice capture → so your content sounds like you
- ICP definition → clarity = revenue
- Content calendar → narrative arcs, not random posts
- Community channel setup → where engagement compounds

Tools:
Gmail, WhatsApp, Slack
Attention.ai, Circleback, Loom
Clay, ChatGPT
Asana, Notion, Monday

This foundation is 70% of the results.

Phase 2: The content engine

Two tracks running in parallel:

Track 1: Creation

- Bi-weekly founder interviews
- Extract ideas, frameworks, stories
- Weekly content plans
- Graphic design
- Approval flow

Track 2: Production

- Finalised + delivered in 2–3 days
- Speed = momentum. Momentum = revenue.

Tools:
Canva, Figma, Adobe
Taplio, Scripe
(plus everything from Phase 1)

2️⃣ Lead tracking & scoring

Most companies post and hope for the best.

We post and measure.

We track:

- Profile views
- Impressions
- Comments
- Saves
- DMs (highest intent)
- Engagement depth

We run ICP 1 and ICP 2 separately.

Because:

A profile view ≠ a profile view.
A comment ≠ a comment.
A DM ≠ a DM.

We score each action so we know who is engaging and how qualified they are.

Tool: Teamfluence™

3️⃣ Automated outreach (the secret sauce)

All that engagement data flows into the automation stack.

Here’s what happens behind the scenes:

1. High-intent signals identified
2. Lead enriched with additional data
3. ICP-fit scored
4. Personalised outreach triggered
5. Across email + LinkedIn

The system does the work.

Tools:
Clay
Attio
Common Room

4️⃣ The Funnel Architecture

Most teams do ONE thing and wonder why they plateau.

Here’s the full blueprint:

→ LinkedIn content = Awareness + credibility
→ Engagement tracking = Intent identification
→ Automated outbound = Intent → conversations → revenue

When all three connect, you stop “posting content”…
and start building a pipeline engine.

---

5️⃣ The offer

For the first 10 signups to ContentIQ, we’re giving you:

The entire automated outreach machine
+
The full content engine.

Not just posts.
Not templates.
The whole workflow that built our business.

Here is the link: https://lnkd.in/ddStnRu3
(And yes… this is where it gets really good 👀)

Behind Snowflake's $4B ARR...

$2.4B generated by SDRs alone.

They have a crazy 5 step system that warms every account before outreach happens.

Snowflake turns every SDR into a closer by making sure prospects already know who they are before the first touch.

This is the framework behind their 46% meeting rate (vs 17% in regions that ignored it):

1/ Collaboration

Snowflake run one GTM strategy, one account list, one message, one goal.

Marketing feeds Sales insights they can act on.
Sales executes within 14 days.

Most companies operate in silos. Snowflake operates as a single unit.

2/ Intelligence

60% of buying research happens anonymously.
Snowflake listen and act on intent signals.

So...

First-party signals like website visits, email engagement, product usage.
Third-party signals like competitor research, job changes, funding rounds.

They use tools like Bombora to flag "high-propensity" accounts - which convert 4x better than random CRM leads.

3/ Activation

When an account shows buying intent, Snowflake launches a 3-week sequence:

Weeks 1-2: ABM warms the account with tailored content, ads, emails, and microsites.
Week 3: SDRs reach out.

Prospects are then familiar with Snowflake before they make contact.

36% meeting rate for pre-warmed accounts vs 10% for pure cold.

That's 3.6x more meetings without sending more messages.

4/ Engagement

Snowflake hits accounts from multiple angles, but always with one consistent story.

- Personalized emails
- LinkedIn outreach
- Custom microsites
- Calls

Their personalized microsites alone deliver 4x higher meeting rates than generic ones.

Nothing feels random.
Every touch reinforces the same message.

5/ Optimization

Every two weeks, ABM, SDRs, and AEs run alignment sessions.
From this, they can see:

- What's resonating
- What's stalling
- Which accounts are warming up
- Which messages are working

Snowflake doesn't track attribution.
They measure impact at the account level and optimize the entire system together.

The results?

- 2-4x more meetings on ABM accounts
- Deals close 2x faster
- Top-tier accounts convert 5x better
- 40% of Tier A accounts turn into pipeline (vs 10% for non-ABM regions)

Snowflake obviously has a huge budget.
But most teams don't need 300 SDRs or their budget to use this.

You just need the sequence:
Align Marketing, SDR, and Sales on shared account goals.

Track first-party intent - website visits, email engagement, product usage.
Warm accounts two weeks before outbound.

Are you warming accounts before you reach out?

Snowflake Outbound Strategy Breakdown 

This one tool rewired our entire workflow ↓

And saved 20 hours a week.

Two months ago, we rolled Fireflies.ai into our operations.
Not for transcription (they've already won that category),
but for meeting intelligence and workflow automation.

Here’s exactly how we’re using it:

1️⃣ Walk into every call already briefed

Before a meeting even starts, Live Assist pulls up:

→ Your past conversations
→ Key decisions from the last call
→ Open tasks + commitments
→ Context you forgot you even needed

You're not going through old notes or trying to remember what you said last week.

You just show up ready (game changer for prep).

2️⃣ Real-time suggestions during the call

This is the part that genuinely changes how you operate.

Live Assist listens live and surfaces:

→ Talking points
→ Objection handling
→ Context from previous calls
→ Background details you missed
→ Prompts tied to what the client is saying

And if you need something specific mid-call,
you can actually ask the agent to give you an answer.

3️⃣ Zero manual notes

Your team stays focused on the client.
Fireflies handles the note-taking:

→ Clean notes
→ Organised
→ Time-stamped
→ Accurate
→ Updating as the call unfolds

No one is typing.
No one is distracted.
Nothing gets missed.

4️⃣ Instant client summaries

Call ends → Summary appears.

→ Key points
→ Next steps
→ Decisions made
→ Assigned action items

We push this straight into Slack so everyone stays aligned.

And we also send all the data to a Claude project so we can keep track of what's happening with every client.

We're building a lot of internal tech at ColdIQ. And Fireflies has a Claude MCP integration.

So now we can query meeting notes across the entire business directly from Claude.

- "What did we promise this client last month?"
- "What objections came up in our last 10 sales calls?"
- "What feedback did prospects give about pricing?"

Just ask and you get the answer in Claude directly.

This is why we’re scaling Fireflies.ai across every team.

If you want the link to test Live Assist yourself,
drop a “Fireflies” below and I’ll send it over. 👇

How we use Fireflies 

Clay is one of the most powerful tools in B2B right now.

But most people don't know where to start.

Most people open a Clay table, stare at it for 10 minutes, and close it because they don't know what to build.

We've built 500+ Clay tables for clients. Here are the 5 workflows you should start with:

Workflow 1: Waterfall Email Finder

The problem: If you use one email finder you are getting something like a 40% finding rate. That means 60% of your list is useless.

The fix: Stack multiple providers in sequence. Start with the first one (ie Prospeo.io). If the first provider doesn't find the email, try another one like LeadMagic. You can run more than 10 different providers to maximise your chance to find the right email. 

Result: 85-90% email findign rate vs 40% with a single provider.

Workflow 2: Signal-Based List Builder

The problem: You're blasting the same message to everyone. 

The fix: Pull companies from Ocean.io or Apollo. Then start to enrich to find relevant signals. 

For example: Use Claygent to scrape funding news. Track hiring spikes with LinkedIn enrichment. Check tech stack changes with BuiltWith. Score them: 3 signals = immediate outreach, 2 = nurture, 1 = long-term.

Workflow 3: Inbound-led Outbound 

The problem: People are visiting your website but you are not capturing the intent.

The fix: RB2B identifies website visitors. Push to Clay for enrichment. Find decision-makers at those companies companies. Then push the data to Instantly.ai for outreach.

Workflow 4: LinkedIn Engagement -> Outreach

The problem: People engage with your posts and you never follow up.

The fix: Trigify.io tracks who engages with your posts. Push people engaging with your content to Clay. Enrich to find more relevant data. Do some ICP scoring and reach out to leads fitting your ICP. 

Workflow 5: Champion Reactivation

The problem: Your past champions changed jobs and you're not tracking them.

The fix: Export past customers from your CRM. Use UserGems 💎 or Clay tracks job changes. Enrich to rind the right data then reach out offering to help again.

Stop staring at empty Clay tables.

Build these 5 workflows first and you'll already have a good outbound engine going.

Which one are you starting with?

Michel Lieben 🧠

Founder / CEO @ ColdIQ | Scale Outbound with AI & Tech 👉 coldiq.com

I’m (Michel) the Founder & CEO at ColdIQ, a sales prospecting agency (+ we compare the latest sales tech, too!).

We worked with 100+ B2B organizations (including SaaS & Agencies!) and are using Clay, Prospeo, FullEnrich, Instantly, Lemlist, Ocean.io - alongside other great sales tools - to run outbound campaigns that flood 🌊 our (and our clients’) inboxes with interested prospects.


We can help you:

• If you’re a B2B business leader who doesn’t have the time to handle your prospecting engine or to hire and manage salespeople… You can outsource your lead gen to us, and we’ll transparently show you the exact way we run your campaigns. (We’ll provide SOPs, too… if it works so well that you want to build your in-house team).


• If you’re a sales leader or an outbound agency owner: We’ll help you set up the exact systems & tools we use to run automated ‘trigger-based’ campaigns that convert like crazy. 


• And… if you simply want to improve your B2B sales automation skills or learn to run these campaigns yourself, we’ll teach you by building a campaign from scratch together with you —from ‘idea’ to ‘running campaign’ (we’ve done it more than 50 times already, and the rumour says people ❤️ed it).


We've launched hundreds of campaigns, so you don't have to.


Thus - if you: 
- are a B2B service/solution provider making > $50k/month
- provide solutions with Lifetime Value > $10k
- want to shortcut your outbound success


We can help.

Send a DM, and I'll share more details.

Alternatively, reach out to michel[at]coldiq.com 
or via the website 👉 coldiq.com 


__________



And if you're looking to build your top-of-funnel tool stack... 
Check our curated lists of the best outbound tools here 👇

👉 coldiq.com/tools 👈
👉 coldiq.com/ai-sales-tools 👈

Performance-based B2B lead generation 💥 | coldiq.com
→ We help you scale your prospecting activities by implementing outbound sales systems in your business. We take care of sourcing leads, researching your ICP, crafting the sales messages, automating sending and ensuring the high deliverability of messages. We let you focus on what brings money into the business: closing deals.

I turn 31 today. My business made $557,000 last month. But before that, I failed 7 businesses in a row:

Here’s what I tried building... 
and why I'm convinced each 'fail' got me closer to a 'win'


1. I started a clothing brand with my friend Thibault Selderslagh.

👎 We barely managed to sell 15 t-shirts. We had to order minimum 400. So we ended up with 385 t-shirts... now collecting dust somewhere.

👍 But, I learned how to create websites during this process.

↳ ... a skill I used to create the V1 of my website ColdIQ.


2. I co-founded a raffle lottery in the UK 🇬🇧

👎 I invested 40,000€ of my personal savings. We only managed to sell £1,000 worth of lottery tickets.

👍 But, I learned to run ads while desperately trying to sell these tickets.

↳ ... a skill we now use to book 50+ monthly meetings via ads. And that we offer as a service to clients (with some closing > $1M as a result!)


3. I tried to become an Instagram influencer.

👎 I found a hack that grew my account to 29,000 followers. Then it stopped working, and I've lost followers ever since. I never made a dime from the platform, nor did I get offered any free brand product.

👍 But, I learned about social media & algorithms.

↳ ... a skill that got me to be a LinkedIn influencer instead (😆). But more seriously, this led to 15,000,000+ impressions & 1,000+ inbound meetings for my company.

(And we now offer it as a service too... send a DM!)


4. I ran a sports betting affiliate website.

👎 I grew it to $6,000/mo, until it dropped to 0 overnight because of regulation changes in Belgium 🇧🇪

👍 But, I learned a lot about monetizing affiliate brand deals.

↳ ... a skill that allows us to generate > 5-figure per month in passive affiliate revenue.


5 & 6. I started an MMA Betting blog AND a Crypto blog.

👎 None of them made a single $1.

👍 But, I learned SEO & Copywriting

↳ ... skills that are responsible for driving 100s of thousands of visits to ColdIQ's website.


7. I launched a Facebook Ads agency

👎 I booked 15 meetings, and didn't manage to close a single client.

👍 But, I learned cold email in the process.

↳ ... a skill that turned into a service we currently deliver for 70+ clients, amounting to > $500K in MRR.


Takeaway?
You win, or you learn.

And each failure turns into a lesson that lets you try again... better.

So keep pushing!

P.S: Want a free strategy call with us? Book it here - https://coldiq.com/

Founder & CEO at ColdIQ | Tomorrow’s GTM Systems, Built for you 👉 coldiq.com

Failing 7 businesses before growing one

Silicon Valley is the hub of GTM unicorns.

But have you seen what’s going on in Europe?

Giants are being built in countries with just 11M inhabitants 🇸🇪 🇧🇪

And it’s happening all over the continent.

Here are some of my favourite EU success stories:

1. Odoo 🇧🇪

Founded by Fabien Pinckaers, Odoo quitely grew to 40M€ MRR and is now valued at well above $5B.

They did that by breaking all the rules:

→ A generous Freemium model.
→ Kept it open source & community-powered.
→ Built 100s of apps, instead of just ONE block.

All the while: 

- his board was trying to get him fired.
- spending 7 years near bankruptcy.
- losing 16M€ from overnight

Today, it’s 6500+ employees & 750M€ in revenue in 2025.

I’m especially proud of this one, as a fellow Belgian 🇧🇪!


2. Lovable 🇸🇪

Founded by Anton Osika & Fabian Hedin… it’s the loudest success story of the year.

Lovable hit $200M ARR last week, one year after hitting $1M ARR.

At ColdIQ, we use it to build free tools for lead generation purposes.

Testing out prototypes required technical people. 
Most of our team is able to spin off a ‘free email finder’ or a ‘custom client dashboard’ in a day.


3. lemlist 🇫🇷

The French success story that should be studied by everyone in GTM.

Founded by Guillaume Moubeche, now led by Charles Tenot.

It includes lemlist, Taplio & now Claap under one umbrella.

Some things to takeaway:

- A 300K+ combined followers, employee-wide LinkedIn content strategy.
- Unseen build-in-public transparency by their Founder & the entire team.
- Bold acquisitions (i.e: Taplio, Claap) so their app ecosystem covers every GTM function.

At ColdIQ, they're our #1 choice for all our multichannel prospecting campaigns!


4. n8n 🇩🇪

They’ve been a staple in automation teams for some time…

But with the rise of AI agents… they became a category of one.

More modulable than their competitors, more powerful, less expensive… it’s an essential component of modern AI + GTM tech stacks.

It’s saving our team hours of work everyday!


Other GTM success stories across Europe:

🇨🇿 Apify
🇫🇷 Aircall
🇫🇷 arcads AI
🇫🇷 Argil
🇫🇷 Dust
🇫🇷 FullEnrich
🇫🇷 Hyperline
🇫🇷 Prospeo.io
🇬🇧 Attio
🇬🇧 ElevenLabs
🇬🇧 Synthesia
🇲🇰 HeyReach.io
🇪🇸 Genesy
🇪🇪 Pipedrive
🇦🇹 Storyblok
🇳🇱 Expandi
🇳🇱 Framer

… and the list goes on!

P.S: What EU SaaS is on your radar at the moment?

How I would find my first 10 clients if I had to restart from 0:

It's how I've hit > $6.5M+ ARR in 3 years 👇

1. I'd find a ‘free’ way to get my brand out there.

In the beginning: 

You have lots of time.
You have little money.

So you want to start with a time-consuming channel that doesn’t require much funds.

This could be:
→ Writing blog articles.
→ Creating LinkedIn posts.
→ Recording YouTube videos.
→ Being active in niche communities.

I tried them all.
The one that worked best for me was LinkedIn.

It’s what I recommend to all my friends in B2B to get started.


Software you can use:
- Design: Canva or Figma
- Content Ideation: Taplio or Scripe 


2. I'd direct this ‘visibility’ to a short landing page.

Your brand efforts will gather interest.

Interested visitors will check your site or your social profiles.
You want them to understand asap how you help.

The most effective way I found to do so, is to record a 5-min video sales letter, breaking down your offering.

Some people won’t buy straight away.

For them, I’d suggest creating a lead magnet to grab their email addresses
… and nurture them with valuable content over the long term.

For the ones that didn’t provide their emails, you can use visitor identification software to de-anonymize them (in the US).


Software you can use:
- VSL Hosting: Wistia
- Landing Page: Webflow or Framer
- Visitor Identification: Midbound or Instantly.ai


3. I'd reach out to warm ‘high-fit’ leads.

Many prospects will engage with your content but won’t try to schedule a call

Still, they might be interested.

In this case, I’d suggest reaching out to every prospect who’d make an ideal client but hasn’t messaged you yet.

I recommend writing your first 25-50 messages by hand, before trying to automate.

This could look like:
“Hey {{name}}, seems my post on {{topic}} resonated with you. Are you working on {{potential initiatives}}? Happy to swap notes if that’s helpful.

Whatever you write… the magic of manual notes is that it forces you to re-read & improve your messaging every time.

This allows you to uncover patterns…
Which will be invaluable once you scale your sending.


Software you can use:
- Email Outreach: Instantly.ai
- LinkedIn Outreach: Expandi
- Multichannel Outreach: lemlist
- Email Finding: Wiza, Prospeo.io, LeadMagic or FullEnrich.


4. I'd repeat the above steps for 3 months straight before considering giving up. 

This 100% works.
It sounds simple, but it’s challenging to keep working hard when things are uncertain.

Working hard is difficult on its own.
But working hard, when doubting that there’s a point, is even harder.

To make it work, you must somehow convince your brain that you’re not doing this for nothing. Even when you get 0 results in the first weeks, or months.

Repeat these steps enough times.
And you’ll inevitably improve.

Improve enough…
And soon enough, you’ll reap the rewards of your hard labour.

Good luck ✌️

P.S: Who's starting something new in 2026? 👇

Claude can now build advanced n8n workflows from a single prompt.

Just use this Claude project setup, and it will handle 90% of the work 👇

This completely changed how we build automations at our $6.5M ARR agency…

Here’s precisely how we run this:

1. Write a basic prompt describing your workflow. 

Claude (Sonnet 4.5) will read it, break it down & output an n8n JSON file that can be imported.

2. Claude takes care of the complex implementation.

That is:
- Filed mappings + expressions
- Data flow between nodes
- Trigger configurations
- Conditional branches
- Sticky notes for docs
- Error handling

Beware: there are usually a few small items to debug, and it won’t add your API keys for you. But everything else is handled.

Now, what’s included in the system:

1️⃣ Full Claude Project Setup

The system infrastructure that transforms Claude into an n8n workflow builder. 
(Just need to copy paste & you’re ready to go!)


2️⃣ Over 70 n8n Documentation Pages

The official n8n GitHub documentation from which we extracted syntax, capabilities & node references. 

That’s how Claude knows how to build functioning workflows.


3️⃣ Templates & Frameworks

Templates + Frameworks you can copy-paste for use cases like lead routing and social listening.


4️⃣ Real-life Examples 

Our actual prompts vs. the workflows Claude ended up building.
(So you can see what worked well, and what did not).


5️⃣ SOPs to always stay updated with the latest Docs

Step-by-step guide to pull and compile n8n documentation every time there’s a new feature.
(Which is every week in AI world)


Once again, this is democratising complex workflow buildouts.

Starting from scratch or piecing together documentation used to take a lot of time.

“How to build n8n workflows?” has always been a bigger challenge than “what n8n workflow shall I build?”

This flips the questioning on its head.

Spend most of your time thinking about which automation moves the needle for your business. Not how you'll build it.

...and leverage Claude to get 90% of the way there.

If you want to get the entire system, including the documentation package & guide to set it up yourself, comment “PROMPT”, “n8n” or “CLAUDE” and I’ll DM it to you!


P.S: Kenny Damian is our n8n 🐐 at ColdIQ, and the man behind the agentic workflows we build for our > $10M ARR clients. If you want to get access to these value drops before everyone else… you NEED to follow him!

Most companies bet their entire LinkedIn strategy on the Founder.

We get the whole team involved:

Last month, this allowed us to sign 14 new deals, totalling ~$70,000 in MRR for our agency. Plus, another 16 customers won for our educational program.

It’s a win-win.

For the team:
→ They grow their brand, a precious asset they own… and that will benefit them whatever they decide to pursue.

For us:
→ They send visitors to our site and generate qualified leads every single day.

Everyone shares around their domain of expertise: 

- Ivan talks about ABM, LinkedIn Ads & Funnels.
- Millie shares tips on Founder-Led branding.
- Monika shares her best cold email rewrites.
- Kenny shares his latest n8n workflows.

… and the combined posting volume makes it challenging not to come across ColdIQ on your LinkedIn feed.

2026 will be the year of Employee-led branding.

Don’t miss this shift.

We completely changed the way we run GTM at ColdIQ.

And now, we’re making it official 👇

ColdIQ started as an outbound agency.

It’s still the biggest chunk of the work we do.
It’s how I found our first clients.
And it’s still an essential part of our GTM engine.

But as we ran our own go-to-market at ColdIQ…

We started experimenting with new channels:

- Google Ads
- Meta Ads
- SEO
- YouTube
- Quora Posts
- Reddit Posts
- Niche Communities
- Newsletter Sponsorships

… but most importantly:

→ LinkedIn Content
→ LinkedIn Ads

By adding LinkedIn content to the mix, we built one of the most powerful distribution engines in the GTM niche.

30M impressions.
2500+ B2B meetings.
250,000+ followers gained.
$4,000,000+ in deals influenced.

And we got much better results with our cold emails, without changing anything, just because this content engine built so much social proof.

And then, we pushed it one step further. 

We realised we had published so many proven posts… that if we pushed these in front of more of our target personas… we’d potentially book even more meetings.

So we did…

And, once again, the numbers looked great.
(LinkedIn Ads aren't 'that' simple, but you get the gist!)

This is when I started doubting the ‘logic’ behind our offering.

We’re killing it at 3 B2B channels…
So why are we delivering just 1?

If a GTM Leader in B2B Tech came to me asking: “Hey Mich, I have $20K to spend per month on my GTM… what shall I do?”

I wouldn’t tell them: “Just send as many cold emails as humanly possible”

I’d tell them to run a GTM engine that syncs Outbound, with LinkedIn Content & LinkedIn Ads.

So we quietly started offering this to clients.
But didn’t advertise it on our site.

Up until the results were undeniable.

It’s worked so well for us.
It’s worked amazingly well for orgs like AirOps. 
(who closed >$1M via our ABM engine & went from $2M to $15M just this year)

And I’m betting it’ll work for you if you’re a GTM Tech, AI SaaS or B2B Tech company.

If you’re wondering how the machine operates, have a look at the video ↓

Or schedule a call with our team here: coldiq.com


Talk soon ✌️

Founder: “There are so many sales tools, how do I even pick?”
Me: "I run outbound for 75+ companies. Start here 👇"

(Pick just 1-2 tools per category)

1️⃣ Databases

Accurate data sourcing is the foundation for successful outbound.

You need at least one very reliable data platform.

Some of my favourites include:

1. Clay (starts at $149/mo)
↳ They aggregate 100+ data providers in one place, including as intent platforms and AI agents.

2. Openmart (from $149/mo)
↳ My favourite database for SMBs & local businesses.

3. LinkedIn Sales Navigator (from $99/mo)
↳ The O.G B2B database.

4. Exa’s websets (from $49/mo)
↳ List building agent that retrieves niche data based on plain English prompts.


2️⃣ Enrichment

Your sourced lists will often miss contact data (i.e: email addresses & phone numbers)

To enrich these, I recommend a combination of:

- Wiza (starts at $49/mo)
- FullEnrich (starts at $29/mo for 500 credits)
- Prospeo.io (starts at $39/mo for 1,000 credits)
- LeadMagic (starts at $99.99/mo for 10,000 credits)


3️⃣ Agents

AI agents best prospecting use-case is automating lead research.

Depending on use case, I'll use:

1. Relevance AI (starts at $19/mo)
↳ Ideal to build custom agentic workflows.

2. Claygent (starts $149/mo)
↳ Within Clay, best agent to perform at scale research on your lead lists.

3. n8n (starts 24€/mo)
↳ One of the most flexible, powerful & cost-effective workflow builder.


4️⃣ Signals

You can’t know for sure that companies are in-market for your services.
But you can make an educated guess by monitoring buying signals. 

Some reliable platform to source these signals include:

- Clay (starts at $149/mo)
- Common Room (starts at $1,000/mo)
- Trigify.io for social signals (starts at $149/mo)

lemlist also recently release a ton of signals within their all-in-one platform.


5️⃣ Outreach

Next up, you’ll want to contact your leads, while maximising the likelihood of your messages getting delivered.

Some great options include:

- Instantly.ai for email outreach (starts at $37/mo)

- Expandi for LinkedIn outreach (starts at $99/mo)

- lemlist for multichannel outreach (starts at 69€/mo)


6️⃣ Closing

Tech doesn’t replace a great seller, but they can help by:

1. Facilitating deals data logging, storing & cleaning: Attio (starts at 36€/mo)

2. Recording meetings,taking notes & gathering sales insights: Attention.

3. Capturing lead interactions, and routing insights to Salesforce: Momentum.io (from $69 per user per month)

4. Automating inboud routing: Default (starts at $500/mo)

5. Building clean proposals: Qwilr (starts at $39/mo)


P.S: Have you tried a great sales software recently?

Which one it is? 👇

Sales Technology Stack

LinkedIn content got ColdIQ past $550,000 in MRR.

And this workflow turns each of our posts into pipeline:

Here's the step-by-step breakdown:

STEP 1: CAPTURE REAL-TIME ENGAGEMENT

Each profile view, like and comment gets automatically tracked.

Someone engaging with you or your content doesn't mean they'll buy from you... But it could be a sign.

STEP 2: DATA ENRICHMENT

For each of these engagers, Clay enriches data on the person & their company.

- Job title
- Tech stack
- Hiring signals
- Company size
- Funding rounds

All of this information is enriched within minutes.

STEP 3: AI QUALIFICATION

Most of the people who engage with your content aren't a good fit for your offerings.

We use OpenAI & Claude's flagship models to score each contact.

- Great fit? We moved them to the next step.
- Not a fit? We stop the enrichment process here.

AI qualified based on criteria such as:

- B2B vs. B2C
- Geography fit
- Industry match
- Company size match
- Estimated customer LTV
- Seniority, Function & Job Title

STEP 4: CRM DEDUPLICATION

Before doing anything more, we verify: is this lead already in our records?

→ Is it an existing customer?
→ Are we already in talks with them or their team?

If so, skip them.

→ Are they a net new contact?

If so, push them to sequence.

At scale, it's difficult to avoid it entirely...
But you want to avoid reaching out to existing customers.

STEP 5: WATERFALL ENRICHMENT

We find contact data via a waterfall that includes Wiza, Prospeo.io, FullEnrich & LeadMagic.

This allows us to maximise our coverage, and get from ~50% verified email to > 85%.

STEP 6: CONTEXTUAL OUTREACH

Depending on the prospect's tier, we'll engage via email or multi-channel outreach.

Each prospect gets a tailored message via Instantly.ai or lemlist that references the topic of the post they engaged with.

Something along the lines of:

"Hey {{first_name}}, saw you engage with posts on {{topic}}, so I figured you'd be interested in this breakdown laying out how Snowflake sourced 60% of its pipeline from SDRs using {{unique mechanism}}"

STEP 7: POSITIVE REPLIES & BOOKED MEETINGS

This system consistently books 100+ qualified meetings for ColdIQ.

And it runs 24/7 on autopilot.

→ Every content piece can become a lead magnet.
→ Every engagement can turn into a qualified opportunity.
→ New conversations happen every day.

If you're posting on LinkedIn and not at least monitoring WHO engages with your posts... you're missing out.

Are you currently tracking your LinkedIn engagement?

P.S: We can build this workflow for you, alongside other GTM plays, including some similar to those we built for AirOps... that helped them get from $2M to $15M ARR just this year. 

Book a time with our team if you're interested :)

I tested way too many AI Sales tools.

Here are the categories I’m closely watching in 2026:

1/ Workflow Builders

Why?

↳ They help you build advanced, multi-step, automated prospecting workflows.

Example use-case: Running a signal-based Clay campaign that scores leads, segments them into several tiers, adds an AI-personalized first line… and pushes contacts to your favourite sequencer. For 1,000+ leads. On autopilot.

Examples include:

→ Relevance AI
→ Outbond
→ Clay
→ n8n


2/ MCPs

Why?

↳ They enable AI agents to take actions by connecting to your tools. Without you needing to manually open them.

Example use-case: Connecting Claude MCP to Google Calendar so that it… 

[1] checks how many sales calls you have today
[2] researches each prospect
[3] provides relevant talking points for the qualified ones…
[4] cancels meetings with unqualified leads. 

All that, without opening your calendar app.

You can prompt via tools such as:
→ Cursor
→ Claude
→ VS Code
→ Mistral AI

And connect to your apps using:
→ Docker, Inc
→ Pipedream
→ Composio


3/ All-in-One Sales Platforms

Why?

↳ They consolidate every essential cold outreach feature within one platform.

Example use-case: Warming up domains, building a lead list, monitoring relevant signals, enriching contact data & automating email outreach (Instantly.ai) or multi-channel outreach (lemlist) without any other prospecting tool. In essence, running your entire prospecting campaign in one place.

Examples include:

→ Instantly.ai
→ Expandi
→ Artisan
→ lemlist


4/ Sourcing Agents

Why?

↳ They source data autonomously, given a set of prompts.

Example use-case: Sourcing a list of Sales Leaders, based in SF, in VC-based startups that have > 5X’d revenue 2 years in a row within the last 3 years… by simply telling Exa, in plain English, that this is the list you’re trying to build.

Examples:

→ Relevance AI
→ Outbond
→ Claygent
→ Tavily
→ Apify
→ Exa


5/ Conversation Intelligence

Why?

↳ They record meetings & extract relevant insights from your business conversations.

Example use-case: Reviewing your latest 100 sales calls via Attention’s agent to figure out the most frequent objections your sales team gets from prospects.

Examples:

→ Momentum.io
→ Fireflies.ai
→ Attention


6/ Signal Platforms

Why?

↳ They monitor intent signals to help you uncover prospects in buying mode.

Example use-case: Monitoring previous product buyers (champions) in Common Room, to pitch your solution when they move to a new company (that doesn’t use your product yet!)

Examples:

→ Common Room
→ TheirStack
→ Outbond
→ Clay


7/ AI SDRs

Why?

↳ They automate your prospecting entirely.

Example use-case: Letting Valley write your outreach, qualify your leads, monitor replies & answer on your behalf.

Examples:

→ Artisan
→ Valley

P.S: What AI Sales software category are you betting on in 2026?

AI Sales Categories for 2026

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 👇

30% LinkedIn DMs

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? 👇

taplio

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