Building unstoppable pipelines | Get free sales opportunities with our no-cost, no-risk pilot campaign | Founder @ C17 Lab

Most outbound agencies take your money and deliver nothing - zero meetings, zero learnings.

I do the opposite - you see results before you pay a dollar.

I launched Square in France and was the top growth performer at Booking.com for two consecutive years, driving over $50M in GMV. After realizing I could earn more by owning even 1% of the value I created, I started C17 Lab, the first revenue engineering firm focused on outbound-led growth.​

Who I help

You’ve built a solid business through paid media, inbound, and referrals, but growth has plateaued.
You know outbound can work - you’ve seen others scale with it - but every agency you’ve tried delivered excuses instead of pipeline. Maybe you tried DIY outbound and ran into technical complexity, deliverability issues, or data problems. You’re done with the “trust us, it takes 6 months” narrative.

How I help

C17 Lab engineers outbound systems that consistently generate pipeline for:

1. Manufacturers
2. B2B SaaS selling into traditional industries
3. Professional services firms doing $2M+ in annual revenue

My team of GTM engineers and SDRs will run a free pilot campaign that books you 3-4 qualified meetings. No payment required.

If we can generate pipeline when we barely know your business, imagine what happens once we deeply understand your product and market.

Ready to see what high-performance outbound actually looks like?

Book a free pilot campaign at c17.ai.

Enzo Carasso 🧲

Marketers call it an investment.

CFOs call it an expense.

And when money gets tight, the CFO wins.

Marketing gets paused. And then this happens:

Weeks 1-4: "See? Nothing's changed."
Weeks 5-8: "Hmm. Calendar's looking a bit thin."
Weeks 9-12: "Where did the leads go?"
Week 13: "Turn it back on. Everything. Now."
Weeks 14-20: Spending money to fix the money they were trying to save.

Congratulations. You just ran the most expensive experiment in your business.

The result? You proved that turning it off was a bad idea.

You didn't save money.
You just paid twice.

You could have just... not turned it off.

The real issue isn't budget.

Marketing isn't a Netflix subscription you cancel when you're not watching.

You can't pause what took 6 months to build and expect it to restart in a week.

The CFO sees a line item.

The marketer sees a system.

The founder sees both and cuts the wrong one anyway.

Don't be that founder.

Apply for our pilot instead: https://bit.ly/C17Pilot

We build it, prove it works with real meetings, then hand you a system that stays on.

Repost if someone in your network is about to cut their marketing budget.

Follow Enzo Carasso 🧲 for systems that treat outbound like infrastructure, not a nice-to-have.

Skipping strategy and going straight to execution is a fast way to fail in business. 

That's why so many companies have an inconsistent pipeline. 

So they hire more SDRs, switch tools, and rewrite the copy. 

None of it works because the foundations aren't in place. 

Instead, follow this flow: 

1. Define the target
→ Start with a revenue goal
→ Get specific on who you sell to
→ Pick the metrics that actually tell you if it's working

This is a founder decision, not something to delegate on day one.

2. Understand the buyer
→ Talk to recent customers
→ Go back through deals you lost
→ Find the pattern of why people say yes or no

It's already there. You just haven't looked for it yet.

3. Study the competition
→ How are competitors positioning themselves?
→ What are they charging?
→ Where are they weak?

Most companies skip this and end up sounding the same as everyone else.

4. Build a strong offer
→ Define the result you actually deliver
→ Keep the scope tight
→ Price it based on the value it creates

A bad offer doesn't get fixed by better copy or more sends.

5. Align before you launch
→ Who you're targeting
→ What you're offering
→ How you're talking about it

Founder, marketing, and sales need to agree on all three before execution starts. If they don't, you're wasting time and budget.

6. Build the GTM plan
→ Choose your channels
→ Set weekly activity targets
→ Define what a qualified lead looks like in writing
→ Track pipeline in one report everyone can see

Before any campaign goes live, verify your contact data. Dirty lists destroy deliverability and lead to wasted efforts. 

We use BetterContact, a data enrichment tool that cross-checks 20+ data sources to find and provide you with the most accurate contact information. You only pay for verified data.

7. Run marketing
→ Cold email, cold calling, content
→ Measure what's driving replies and meetings
→ Cut what isn't

8. Run sales
→ Train the team on the offer before they're on calls
→ Qualify hard and early
→ Review close rates every week, not every quarter

9. Retain and expand
→ Get results in front of the customer fast
→ Track their outcomes
→ The best upsell opportunity is a client who's already seen ROI

Most companies jump straight to marketing and sales.

Missing steps 1 through 5 is why steps 7 and 8 never convert.

We build this end to end at C17 Lab.

Apply for a free pilot campaign here: https://bit.ly/C17Pilot

Repost for other founders building. 

Follow Enzo Carasso 🧲 for frameworks that work.

Cold emails not getting results?

Here’s 7 ways to 10x your performance.

1/ Strengthen the Offer
→ Low reply rates are often a result of weak offers.
→ Lead with a measurable outcome tied to a real problem.
→ If your prospect can’t picture the result in 10 seconds, it’s not strong enough.

2/ Narrow Your ICP
→ Tighter targeting = cleaner replies.
→ Use revenue range, role, and intent signals.
→ Broad ICPs dilute your message before it lands.

3/ Improve Data Accuracy
→ Bad data kills deliverability before you start.
→ Verify emails and phone numbers before launching a campaign.
→ Clean data means you actually reach the right inbox.

We use BetterContact, a data enrichment tool that cross-checks 20+ data sources to find and provide you with the most accurate emails and phone numbers.

4/ Write Direct, Specific Emails
→ One problem. One outcome. One next step.
→ If your email could apply to any company, it’s not strong enough.
→ No generic statements. Be specific about the pain you’re solving.

5/ Increase Speed to Respond
→ An MIT study found responding in 5 minutes vs. 30 minutes = 21x better qualification.
→ Slow response = lost deals.

6/ Qualify Before Booking
→ Not every reply deserves a meeting.
→ Qualify role, urgency, budget, and authority before you book.
→ Unqualified meetings tank your close rate.

7/ Build Infrastructure for Scale
→ Warm domains. Multi-touch sequences. Reply workflows.
→ If your system breaks when you increase volume, you can’t rely on it.
→ Performance improves when infrastructure can handle pressure.

Ready to get results from your outbound efforts?

Apply for our free pilot campaign: https://bit.ly/C17Pilot

Repost for anyone running outbound.

Follow Enzo Carasso 🧲 for outbound systems that work at volume.

7 Ways to 10 X Your Cold Email Results

You have 50 warm leads in your CRM.

How many have you actually called?

You know you need to call them.

You've known for 2 weeks.

The phone sits there.

You know how it works.

But first you need to:

- Rewrite that subject line one more time
- Watch one more video on "tonality"
- Reorganize your CRM by industry (very important)
- Make another coffee
- Check LinkedIn
- Suddenly remember you need to update your email signature

You're not avoiding, you're "optimizing."

Anything except dialing.

Congrats. Your leads are still sitting there.

Meanwhile, someone less qualified than you called them yesterday and booked the meeting.

Cold calling sucks.

Until it doesn't.

→ Call 1: You sound like a hostage reading a ransom note.
→ Call 10: You're still bad, but faster.
→ Call 100: You stop caring and start qualifying. It works.

The fear is worse than the rejection.

Prospects don't care if your voice cracks.

They care if you're wasting 30 seconds of their day or solving a real problem.

The math is simple:

100 emails = 10 replies.
10 calls to those replies = 8 conversations that move forward.

Email finds them.
Calling qualifies them.

One without the other is leaving pipeline on the table.

Your warm leads aren't getting warmer.

Call them today.

Or don't, and watch your competitor close them.

At C17 Lab, we run cold email at volume and turn replies into pipeline.

Want to see how we engineer outbound systems that actually book meetings?

Apply for our free pilot: https://bit.ly/C17Pilot

Repost this for those avoiding the phone. 

Follow Enzo Carasso 🧲 for more cold outbound reality checks.

I've sent 13M+ cold emails for manufacturers and professional services companies last year.

Most teams optimize messaging. 

Almost nobody optimizes the foundations:

1/ Offer Design
→ If your offer needs a 30-minute call to make sense, it's a pitch deck.
→ Buyers should know what they're getting in 10 seconds.
→ If you're explaining value on the discovery call, your outbound was already dead.

2/ Market Selection
→ Precision is useless if you're precise about the wrong people.
→ Don't build perfect lists of people who need 6 approvals and 9 months to close.
→ Outbound works when buyers have budget pressure and a reason to move now.

3/Control Systems
→ Most teams let every reply become a meeting.
→ Build gates that separate interest from intent.
→ Remove bad fits before they reach sales.
→ Make access something prospects earn, not something you give away.

Without control systems, everything falls apart:

→ Bad fits flood the calendar
→ Sales gets buried in junk meetings
→ Qualification rates tank

Volume doesn't fix a broken system.

It just breaks it faster.

Build the gates first 
→ Prove the filter works 
→ Then scale.

The hardest part of outbound isn't the copy.

It's building infrastructure that survives contact with reality.

Want to see this framework in action?

We run a no-cost pilot campaign at C17 Lab. Generate outbound leads and show the system working before you commit.

Apply: https://bit.ly/C17Pilot

♻️ Repost this if you know someone scaling outbound.

Follow Enzo Carasso 🧲 for more on building GTM systems that actually work.

You're writing cold emails wrong.

Actually, you shouldn't be writing them at all yet.

Most founders start with copy. 

They workshop subject lines or hire agencies to "fix the messaging."

Then they send volume and get nothing.

The problem isn't the email.
It's the approach. 

Here's what to do instead: 

1/ Craft an irresistible outbound offer

→ Not your pitch. Not your product description.
→ An offer built for cold audiences.
→ Valuable enough that saying yes feels like a must. 

2/ Select an ICP where the economics make sense

→ If your LTV is under $7K, outbound economics break fast.
→ Long cycles and low close rates will kill you.
→ Pick accounts where a single deal justifies the effort.

3/ Design value that lands before the meeting

→ Most outbound promises value during the call. That's too late.
→ Deliver insight, analysis, or something tangible upfront.
→ Make the meeting a continuation, not a starting point.

4/ Package it into a simple outbound message

→ Now you write the email.
→ You're explaining what you're sending and why it matters.
→ Keep it clear. Then send it.

5/ Review for clarity, then send at volume

→ Read it once. Cut anything that doesn't support the offer.
→ Then scale it.
→ Volume shows what holds up.

Outbound isn't a copywriting problem.

It's an offer design problem that gets tested at scale.

Ready to see if your offer holds up?

Apply here for a pilot campaign.: https://bit.ly/C17Pilot

Repost for anyone running outbound campaigns.

Follow Enzo Carasso 🧲 for outbound systems that actually work at volume.

Sending more emails won't fix your outbound.

Engineering a reliable system will.

The gap between random outbound and systemized outbound:

When outbound runs on random instinct:

❌ Every drop in replies → new tool purchase
❌ Every slow month → "let's try cold calling too"
❌ Every campaign → complete restart, not an iteration

You're not building a system. You're collecting tactics.

When outbound runs on systemized infrastructure:

✅ You know exactly who converts and why
✅ Your offer is designed for cold audiences
✅ Your deliverability survives at scale, not just the first 1,000 sends
✅ Your sequences educate before they ask for time
✅ Your pipeline data shows what's breaking before revenue does

The difference isn't effort.

It's whether you're optimizing campaigns or engineering outcomes.

If you rebuild your outbound every quarter, you don't have a tactic problem.

You have an infrastructure problem.

Systemized outbound is built to scale from day one.

Want to see the difference between random and systemised outbound in action?

Apply for our free pilot: https://bit.ly/C17Pilot

Repost for someone rebuilding their outbound right now.

Follow Enzo Carasso 🧲 for outbound that's built with infrastructure, not guesswork.

I've sent millions of cold emails.

The teams that fail all waste energy on the same variables.

How most teams operate:

→ 50% writing and rewriting cold emails
→ 30% tweaking copy and subject lines
→ 20% asking for meetings

You're optimizing for precision in a commodity offer.

Better copy won't fix a broken system.

What Actually Drives Results:

1. Offer design for cold audiences
If it requires explanation, it's not built for outbound.
Your value prop should make sense to someone who's never heard of you.

2. ICP based on economics
Pick targets based on LTV, buying power, and deal size.
$8K average deal with $3K CAC = No room for error.

3. Deliverability infrastructure
Your copy doesn't matter if emails never reach the inbox.
Domain health and sender reputation are the foundation.

4. Systems built for volume
500 emails works. 5,000 breaks everything.
Manual intervention = you built a job, not a system.

5. Outbound as qualification, not persuasion
Meetings confirm fit, they don't create it.
Filter for intent before you book the call.

6. Meetings that convert
Show rate means nothing if deals don't close.
Optimize for quality, not quantity.

Outbound fails when teams treat it like just a copy problem.

C17 Lab builds systems that survive at scale. 

Apply for our free pilot campaign here: https://bit.ly/C17Pilot

Repost to help others in your network do outbound properly. 

Follow Enzo Carasso 🧲 for systems-first outbound.

Most B2B strategies aren't bad.

They're just incomplete.

Doing the basics gets you started. 

Going beyond them is what builds a pipeline you can actually rely on.

Four areas. Benchmark yourself honestly:

1/ Offer & Market Fit

Good → You have a pitch that makes sense to people already familiar with the problem.

Better → You've narrowed it down to one segment and one painful, costly problem.

Best → Cole prospects respond without needing context or a follow-up explanation.

2/ Outbound Execution

Good → You have activity. Emails going out, calls being made.

Better → That activity is converting into meetings with people who actually fit.

Best → You can dial up pipeline whenever you need it without degrading your infrastructure.

3/ Sales Alignment

Good → Your reps know what they're selling and chase every lead.

Better → They spend their time on the right opportunities because bad fits are filtered early.

Best → The handoff from outbound to close is a system, not a hope. Leaks get fixed in real time.

4/ Infrastructure & Economics

Good → You know what you're spending to acquire a customer.

Better → You understand the full cost and what each customer is actually worth over time.

Best → You've built for pressure. More volume doesn't break what you've built.

------

Most companies are sitting at "good" across all four.

Good keeps the lights on. It won't build something worth owning.

Want to scale your business with outbound?

We run a no-cost pilot at C17 Lab. 

You'll see exactly how we approach offer design, execution, and infrastructure before you commit to anything.

Apply here: https://bit.ly/C17Pilot

Repost to help others improve their B2B marketing. 

Follow Enzo Carasso 🧲 for more.

Your targeting is fine. Your messaging is fine.

So why aren't you getting sales?

The problem is probably your offer. 

Alex Hormozi's book, $100M Offers, breaks down how to craft an offer too good to say no to. 

1/ Find a Starving Crowd
Pick problems people are already paying to fix. 
If demand doesn't exist, you're looking in the wrong place. 

2/ Build the Value Equation
Increase the dream outcome. Add proof and guarantees. 
Shorten time to results. Remove friction from the experience.

3/ Stack the Offer
Bonuses aren't features. They're answers to hesitations. 
Each component should solve a pain someone is dealing with. 
Anchor the price to a high-value outcome.

4/ Deliver on the Promise
The offer gets them to buy. Execution keeps them. 
Standardize delivery and track outcomes, not activity.

The strongest offers don't compete on price.

They remove price as a variable entirely.

What most people get wrong:

→ They add features instead of removing objections
→ They promise outcomes instead of engineering likelihood
→ They optimize messaging instead of fixing the core offer
→ They focus on tactics instead of the value equation

If the offer is weak, no amount of marketing can save it.

If the offer is strong, everything else gets easier.

Repost to help others build stronger offers. 

Follow Enzo Carasso 🧲 for what works in outbound at scale.

Sending the same message to everyone is not a strategy. 

It's a way to look busy while nothing converts.

If you're doing this, you're not marketing. 

You're guessing. 

And guessing is expensive.

Here's how to actually reach your audience and get them to buy:

1. Lock in a real ICP
➔ "Anyone who could buy" is not a target. It's a list.
➔ Get specific: industry, revenue, LTV, team size, sales capacity.
➔ The tighter the profile, the easier everything else becomes.

2. Build an offer designed for that person
➔ Most people copy-paste their inbound pitch into a cold email. It doesn't work.
➔ Cold audiences need an offer that removes risk and delivers value upfront.
➔ If they have no reason to respond, they won't.

3. Get accurate data
➔ Bad data kills campaigns before they start.
➔ Wrong emails, outdated titles, dead companies - all wasted effort.
➔ Clean data means your message actually reaches the right person.

We use to validate contacts before anything gets sent. It finds and verifies emails and mobile numbers across 20+ data sources. You only pay for accurate data.

4. Get in front of them with cold email and SMS
➔ Once the ICP and offer are set, execution is straightforward.
➔ Cold email and SMS, sequenced correctly, to the right person.
➔ That's what fills a pipeline.

5. Qualify hard and book meetings that matter
➔ A reply is not a win. A qualified meeting is.
➔ We focus on ICP-fit meetings, not raw response rates.
➔ If they don't fit, they don't move forward.

Most outbound fails before a single message is sent. 

The work happens in steps 1 and 2. 

Get those right and the rest takes care of itself.

Repost to help your network with their ICPs

Follow Enzo Carasso 🧲 to build outbound that knows exactly who it's targeting.

Cialdini spent years studying why people say yes. 

The answer wasn't logic or price...
It wasn't even the product...

It was psychological triggers people don't realize they're responding to. 

That's the entire premise of Influence. This book should be required reading.

Influence = Psychological Trigger × Context → Automatic Response

📋 The 6 principles behind every buying decision:

Reciprocity
↳ Value delivered before the ask creates pressure without a word being said.
↳ The gesture doesn't need to be big. It needs to be unexpected.
↳ Debt is uncomfortable. People move to resolve it.

Give something useful before you ask for anything. A relevant insight, a data point, a free resource. 

The ask lands differently when there's already something on the table.

Commitment & Consistency
↳ People protect the version of themselves they've already agreed to.
↳ A small yes today makes the next yes easier to justify.
↳ You're not changing their mind. You're letting them change it for you.

Get small yeses early. Written commitments stick harder than verbal ones. Public commitments stick hardest of all.

Social Proof
↳ Uncertainty makes people look outward.
↳ The more similar the reference point, the stronger the pull.
↳ Numbers help. But a case study from someone who looks like your prospect helps more.

Put proof where doubt lives in the conversation. 
If your prospect is a manufacturer, show them a manufacturer. 

Same industry, same problem, same desired result.

Liking
↳ People say yes to people they like.
↳ You don't need to be their friend, just don't feel like a stranger.
↳ Lower the resistance, and the logic becomes easier to accept.

Find real common ground before you pitch anything. 
Mirror their tone. Use "we" over "I" where you can.

Authority
↳ Perceived expertise reduces pushback.
↳ Authority is signaled before you make a single argument.
↳ Most people defer to whoever sounds most certain.

State your track record early. Lead with structure. 
Even the background on your video call signals whether you're worth listening to.

Scarcity
↳ Fear of loss moves people faster than the promise of gain.
↳ Real limits create urgency. Fake ones destroy trust.
↳ What might disappear feels more valuable than what's always available.

Be honest about capacity. Emphasize what a prospect stands to lose by waiting, not just what they gain by moving forward.

The gap between a deal that closes and one that stalls often has nothing to do with your offer. 

It's whether you understood which trigger to pull and when.

Read Influence. Then go back and audit every sales conversation you're having.

Repost to help others grow. 

Follow Enzo Carasso 🧲 for more frameworks on GTM, sales and offer design.

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.

Can you run your entire GTM with Claude Code?

We're answering that tomorrow.

We use Claude Code for:

Paid media.
Outbound.
Reporting.
CRM ops.

All through AI agents we built in-house and deployed across 70+ B2B clients inside our $7M ARR agency.

On February 26th, we're opening our terminals and showing everything. 
Live.

What we'll cover:

Outbound
→ ICP scoring & signal-based lead prioritization on autopilot
→ cold email sequences built from real performance data
→ AI reply handling in under 2 minutes

ABM/Ads
→ automated campaign creation, reporting & optimization
→ AI agents managing LinkedIn, Meta & Google ads
→ paid media run entirely from the terminal

RevOps
→ campaign diagnostics that took hours, done in 60 seconds
→ live dashboards pulling every data source into one view
→ bidirectional CRM sync: Attio, Lemlist & Instantly

What you'll leave with:

→ how to build your first Claude Code GTM agent from scratch
→ the architecture behind 32 skills, 12 agents & 2,108 files
→ which GTM use cases actually deliver ROI today

We'll demo the agents live.
Then break down the architecture so you can build your own.

Hosted by Ivan Falco (Head of Growth) & Kenny Damian (Head of GTM) at ColdIQ.

February 26th - 1:30 PM EST

In case you missed the event....

Here's the link to the webinar recording - https://lnkd.in/eqNfrT7b

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

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: 

Here is the recording and the full playbook bundle (frameworks, SOPs, templates) so you can try this yourself -

https://lnkd.in/eD-WAHyU

Imagine only cold emailing leads who WANT to buy from you…

The closest way to do so? Leveraging buying signals:

The idea is that these signals help you:
- find relevant reasons to initiate contact
- re-activate existing prospects at the perfect moment
- surface new challenges to address in your messaging

… and much more.

There are several categories of signals:

1️⃣ First-Party Signals

↳ = Intent data gathered from your own business ecosystem.

These are prospects who already know you, actively taking steps like:

- utilizing your product
- browsing your website
- subscribing to your email list
- interacting with your brand on social platforms

Platforms that help you capture these signals include:

1. LinkedIn Signals: Clay, Expandi.io, Trigify.io, Jungler

2. Website Visitors: Instantly.ai, Clay, Midbound, Vector 👻

3. Product Usage: Common Room, Mixpanel, Pocus, PostHog

4. Call Transcripts: Attention, Fireflies, Claap

5. Gated Content: Distribute, Gamma


2️⃣ Second-Party Signals

↳ = Intent data sourced from your ecosystem, shared by partners.

Generally, prospects who have engaged with:

- your brand on a partner platform (e.g: checking out your listing on G2)
- your company, while employed at a different organization
- a partner of yours with an overlapping customer base

Examples include:

6. Champion Tracking: Clay, Common Room, Unify, UserGems 

7. Affinity Signals: Crossbeam, Reveal, The Swarm 🔆, PartnerStack

8. Ad Engagement: Fibbler, ZenABM, Factors AI

9. Software Marketplaces: G2, Capterra, ColdIQ


3️⃣ Third-Party Signals

↳ = Intent data sourced from external providers.

Thus, public signals indicating companies might benefit from your solution.

Examples include:

10. Technographic Data: Clay, PredictLeads, HG Insights, BuiltWith, Similarweb

11. Funding Announcements: PredictLeads, lemlist, Clay, Crunchbase, Owler, PitchBook, 

12. Web Data Agent: Claygent, Parallel Web Systems, Tavily, Common Room, Unify, Linkup, Perplexity, Manus AI

13. Job Openings: Common Room, PredictLeads, Clay, LoneScale, Mantiks, TheirStack, Lemlist

14. Custom Scraping: Apify, Firecrawl, Claygent, Instant Data Scraper

15. News Monitoring: PredictLeads, Google News, Exa

16. Ads Activity: Apify, Adyntel, Ahrefs

17. Firmographic Data: Prospeo, Wiza, Exa, DiscoLike

18. Lookalike Search: PredictLeads, DiscoLike


P.S: What’s your preferred tool for monitoring buying signals?

We recently crossed $7M ARR.

Here’s every tool we use to run our business:

1️⃣ Content Engine

LinkedIn generates 100+ leads for us every month.

This includes my account: Michel Lieben [67,000+ followers] 
+ other team members [300,000+ followers combined]. 

I use:

- Taplio for content inspiration & ideation.
- Notion for content planning & calendar.
- Scripe to draw inspiration from specific creators.

I crossed 2,200 YouTube subscribers from 15 videos. 

I use:

- Tella for async video production.
- vidIQ for content discovery & ideation.

We ship 2 articles/week and attract 100,000+ visitors quarterly.

30% now comes from SEO, thanks to free mini-tools we built for lead gen, & programmatic pages we created at scale. 

We use:

- Claude Code to build these out.
- AirOps for programmatic SEO.
- Ahrefs for keyword research.

We have ~10,000 active newsletter subscribers with 40%+ open rates. 

We use beehiiv to send our weekly issues.


2️⃣ Outbound System

We deliver Outbound & GTM services to 80+ B2B clients.

Our entire outbound engine runs on Clay for:

→ Enrichment
→ Personalization
→ Prospect research
→ Workflow automation
→ Signal-based targeting

We also use Claude Code for list building, email copywriting, and automating campaign creation.

Plus specialised tools for:

- AI Agents: Relevance AI, n8n.
- Outreach: Instantly.ai, lemlist, Expandi.
- Lead Sources: Prospeo, Apify, Exa, Openmart.
- Contact Data: Wiza, FullEnrich, Prospeo, LeadMagic.
- Intent + Retargeting: PredictLeads, Common Room, Vector 👻, Fibbler, Midbound


3️⃣ Operations Stack

Our team includes 35 FTEs & ~12 Fractional Freelancers.

We use:

- For internal automations: n8n, Claude Code

- For internal database & documentation: Airtable, Notion, Supabase

- For team communication: Slack, Google Meet, Norrsken Barcelona (office by the sea 🌊)


4️⃣ Inbound Funnel

We book ~100 qualified B2B meetings monthly. 

We use:

- Default (lead routing)
- GA4 + Wistia (analytics + VSL)
- Usermaven (analytics & attribution)
- Webflow & Vercel (website hosting)

For re-engagement:

- Customer.io (email marketing)
- Kondo: Superhuman for LinkedIn DMs (LinkedIn inbox management)


5️⃣ Sales Stack

We closed +$1,000,000 in new ARR last month. We use:

- Attio (CRM)
- Qwilr (proposals)
- Attention (AI meeting notes)


6️⃣ Billing & Finance

We’re integrating Hyperline for billing our productized offerings. It handles quoting, invoicing, and payment collection in one.

On top of that, we use:

- Ramp (expense & treasury management)
- Stripe, Revolut, Mercury (billing + banking)


P.S: What’s one tool we should absolutely try?

I tried way too many AI Sales tools in 2025

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

1/ Workflow Builders

Why?

↳ They allow you to create advanced, multi-step, automated prospecting workflows.

Example use-case: Running a signal-based Clay campaign that ranks leads, segments them into several tiers, adds an AI-personalized first line… and then pushes contacts to your preferred sequencer. 

Examples include:

→ n8n
→ Clay
→ Outbond
→ Relevance AI
→ Enginy (formerly Genesy)


2/ MCPs

Why?

↳ They allow AI agents to execute 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 Code

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


3/ AI Coding Tools

Why?

↳ They enable you to write code in plain English. These can be leveraged to build complex workflows.

Example use-case: Build a phone number finder to collect email addresses.

My personal favourites include:
→ Cursor
→ Claude Code
→ OpenAI Codex

Other platforms include:
→ Warp
→ Cline
→ Replit
→ Lovable
→ Windsurf


4/ All-in-One Sales Platforms

Why?

↳ They consolidate all essential cold outreach capabilities into one software.

Example use-case: Warming up domains, assembling a lead list, monitoring relevant signals, enriching contact data & automating outreach within a single platform. 

Examples include:

→ Instantly.ai
→ Expandi
→ Artisan
→ lemlist


5/ Sourcing Agents

Why?

↳ They gather 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 looking to build.

Examples:

→ Parallel Web Systems
→ Relevance AI
→ Claygent
→ Linkup
→ Tavily
→ Apify
→ Exa


6/ Conversation Intelligence

Why?

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

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

Examples:

→ Momentum.io
→ Fireflies.ai
→ Attention
→ Claap


7/ Signal Platforms

Why?

↳ They track 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
→ PredictLeads
→ TheirStack
→ Clay

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

AI Sales Categories (2026)

Most companies bet their LinkedIn strategy on the Founder.

We turned 24 employees into LinkedIn influencers:

In the span of 90 days, it led to:

581 LinkedIn publications,

adding up to:
> 43,000 reactions (likes, supports, loves)
> 28,000 post comments
> 34,000 new followers

Craziest part about all this is that I'm convinced most B2B teams can replicate this playbook 'pretty' easily.

👉 Here's how: youtu.be/d-gqMuvDQFQ

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?

27 APIs to turn Claude Code into a lead generation machine:

1. PredictLeads

Example use case: use PredictLeads' API within Claude Code to monitor signals on target accounts such as hiring surges, funding rounds & tech installs.

2. LeadsFactory

Use case: find people by job title by providing a LinkedIn company URL as an input.

3. Exa

Use case: Describe your ICP in plain English and let Claude Code search the web semantically to find matching companies.

4. Jina AI

Use case: feed Claude Code any URL via Jina's API to convert the page into clean readable text (so that you can then extract prospect info, pricing data or company intel & mor)e.

5. Wiza

Use case: feed Claude a list of leads and Wiza's API finds verified emails and phone numbers.

6. Prospeo

Use case: build lead lists, find emails & find phone numbers via Prospeo's API

7. FullEnrich

Use case: run Claude Code's enrichment step through 15+ data providers in a waterfall to find verified emails and phones that single-source tools miss

8. Apify

Use case: let Claude Code run pre-built scrapers for social media profiles, company pages, Google Maps & other platforms.

9. Trigger.dev

Use case: let Claude Code kick off long-running GTM workflows (batch enrichment, multi-step sequences, CSV processing) that run reliably

10. lemlist

Use case: connect Claude Code to your multichannel outreach tool to automate outbound campaign creation.

11. Instantly.ai

Use case: let Claude Code push enriched leads into cold email campaigns.

12. Google Analytics

Use case: ask Claude Code to pull your website traffic, conversions and channel data to gather insights on your GTM activities.

13. DataForSEO

Use case: let Claude Code pull SERP rankings, keyword volumes and competitor data to fuel your SEO content strategy without touching a dashboard

14. Logo.dev

Use case: let Claude Code fetch any company's logo by domain to fill your sales decks or branded visuals.

15. fal

Use case: ask Claude Code to generate ad creatives, social visuals or video assets on demand using 600+ AI models through a single API call


...ran out of space here, but there are 12 more in the slides 👇


P.S: What's your favourite GTM API for Claude Code?

Top 27 GTM APIs for Claude Code

My cold outreach process that generated 25,000+ leads in 2026

(and got us to $7m ARR with our agency)

1. Build a few relevant audience segments

There are some ‘easy’ targeting wins when you run cold outreach for the first time.

- Companies engaging with your brand
- Companies similar to your best clients
- Companies showing buying intent in your category


2. Map your total addressable market (TAM)

That is, every single company that fits your client criteria.

You can use B2B data sources like: Clay, Wiza & Prospeo to build your account lists according to your chosen criteria (company size, geography, industry)


3. Research your target accounts & segment them into tiers.

- Tier 1 should be your dream clients or perfect fits (similar to your best clients).
- Tier 2 should be good fit clients (similar to orgs you helped).
- Tier 3 should be orgs you believe you can help.

You can prompt AI models within Clay to tier/score accounts, or do it within Claude Code by creating a .md file that includes your scoring criteria to be compared against your account list. 

APIs or tools like PredictLeads, Common Room come very handy here as well.


4. Try reaching your entire TAM every 3-6 months

- For Tier 1 leads: mix manual AE outreach + multichannel engagement = phone (use Nooks) + LinkedIn + email.

Pro tip: make sure to write the first 25-50 messages manually. 
Do the unscalable at first; this is how you’ll uncover patterns you can scale later on.

- For Tier 2 leads: automate multichannel outreach with AI (use Clay + lemlist)

Pro tip: make sure every message is valuable, relevant + personalised to each recipient. Think: “what can I send to my prospect that’ll be helpful to him, even if they ignore me”

(Here I like to think of what’s the first thing I’d do if I were to sign them as clients, and I do it already… for free).

Example: Building a free ‘niche’ lead list for target accounts, with companies/people data of their ideal clients.

- For Tier 3 leads: engage leads at scale with a proper deliverability infrastructure (use Instantly.ai).

Use tier 3 leads as an experimental playground to test out various copywriting frameworks. (Let me know if you’d like to see some high-performing ones; we collected our own list.


5. Respond to positive replies asap.

The faster your replies = the higher your meeting rate.
More meetings = more sales.


6. A few bonus tips:

- The lead list // targeting is the most important element to succeed at cold outreach. Spend most of your time on list building.
- You’re interrupting people’s day whenever you’re reaching out cold. Keep that in mind, make it a ’nice’ interruption (not always possible, but try your best!)
- Implement a proper deliverability setup. The biggest killer of email outreach is messages that land in spam.
- Warm your target accounts. If you have budget, build a target list & run LinkedIn ads to them, so that they won’t be 100% cold when they receive your outreach.


P.S: Anything you’d add?

This GTM workflow helped us hit $7M ARR

It consistently books us 100+ meetings per month:

1. Our team publishes 150 posts per month

- 24 people publish LinkedIn content in our team
- We incentivise w/ competition & cash prizes
- We write around our prospects' pain points
- We use Taplio + Scripe to find inspiration
- We study hooks & visuals from outliers

↳ We’re launching a new competition for Q2 2026. The goal will be to get > 300 posts/mo.

2. We promote successful posts via Thought-Leader Ads

- This generates extra views at ~$40 CPM.
- We boost posts that generated meetings.
- We check who booked from these posts.
- We boost posts in front of this ICP.

↳ We also use LinkedIn Ads to pre-warm accounts for outbound. Thus, all channels work together.

3. We re-engage leads that interacted with our ads, site or content.

- On the site: we use Midbound & Vector 👻 for website de-anonymization.
- On LinkedIn: we use tools like Trigify.io & Jungler to catch social interactions.

4. We route all qualified leads to a Clay table.

5. These leads are scored/segmented & tiered.

- Claygent does ‘advanced’ inbound research.
- LLMs prompts segment leads into tiers

- Tier 1 leads = manual outreach
- Tier 2 leads = multichannel outreach
- Tier 3 leads = automated email outreach

6. We enrich valid emails & phone numbers for prospects.

- Wiza, FullEnrich, LeadMagic & Prospeo find us contact data.
- These enrichments are performed inside Clay.

7. We re-engage leads via 1 or several channels, depending on tiering.

- We use Instantly.ai, lemlist, Expandi or Nooks for sales engagement.
- We try our best to send valuable, relevant messages.

8. This workflow booked us 1,500 meetings last year.

- We’ll probably beat that in 2026.
- This allowed us to reach $7,000,000 ARR and 36+ FTEs
- Clients are closing 6-figure deals within 90 days, running the same workflow.

Want this system built for you? 
Reach out in the DMs or via our site :)

300+ hours testing Claude Code vs. Cursor to run our GTM...

Here’s my 'final' vibe marketing stack at $7M ARR:

1. Conductor (free)
- My go-to interface to run Claude Code & Codex's latest models.
- UI is much nicer than a terminal + it lets you effortlessly toggle between Codex & Claude Code.


2. Claude Code ($100/mo)
My central hub for all API & MCP calls.

We leverage it for lots of GTM activities, beyond outbound:

→ Creating mini-tools for lead generation.
→ Data scraping + enrichment workflows.
→ Deep SEO analysis via Google Analytics MCP.
→ Entire ad campaign + outbound campaigns creation.
→ List building through Wiza, Prospeo, FullEnrich & Exa's APIs.

...

3. OpenAI Codex ($20/mo)
I barely touch it, honestly.

Mostly for the occasional build that Opus couldn’t crack.

It plugs natively into Conductor, so maintaining access at $20/mo is an easy call.


4. Cursor ($60/mo)
- I began with Cursor. Loved the UI, so I was running Claude Code inside it.
- I used it to design/build some really sharp landing pages.

...but Conductor now covers everything I need with both Claude Code & Codex baked in, with an even slicker UI so… I'm cancelling Cursor.


5. Vercel
- We host all our mini-apps & our site here.


6. GitHub


7. Lovable
- Relied on it early for prototyping & our first mini-tools.
- Solid starting point, but CC is simply stronger for what we’re doing.

--

APIs (where it gets interesting)

Claude Code is an incredibly handy way to orchestrate API calls.

No need to grasp how APIs function; you just feed it your platform’s API documentation, and it sorts out the connection by itself.

Here are some GTM APIs I wire into it:

- PredictLeads: Company intelligence data (covering hiring signals, tech stacks, and funding details).

Example use case: Calling its API from Claude to reveal target companies’ tech stacks.

- Exa: Generates lead lists in natural language.

Example use case: Call its API to “Find Series A fintech companies in Europe”.

- LeadsFactory: “Find people API”

Example use case: Leveraging it within CC to locate people by job title, given a list of domain URLs // LinkedIn company URLs.

- Google Analytics MCP: This produced one of the most insightful custom SEO reports I’ve come across. It surfaced gaps we had overlooked for months in a matter of minutes.

- Apify to tap into custom scraping actors.

- Openmart: Local B2B database.


What’s the craziest way you’ve used these “ai coding” platforms so far?


P.S: I recorded a video going through these tools & why/how I use them. It's right here: youtu.be/b9tygqQiBS8

$7M ARR Vibe Marketing Stack

How to write cold emails like the top 1%:

(Frameworks we use at our $7M+ ARR agency)

1. "Right Person for Opportunity" by Kenny Damian

2. "Pain | Agitate | Solve" by Soheil Saeidmehr

3. "Trigger | Implication | Pain" by Aaron Reeves

4. "Content Assets" by Ethan Parker

5. "Quick Maths" by Thibaut Souyris

6. AIDA by Monika Grycz 💌

7. Similar Challenges" by Patrick Trümpi

8. Champion Play by Brian LaManna

9. AI Campaign Ideas by Dujam Dunato 
(inspired by Eric Nowoslawski)

10. Rhetorical Question by Leif Bisping

11. "Observation | Call-Out | Proof" by Nick Abraham

12. "Trigger | Process | Symptoms" by Tal Baker-Phillips


What’s your go-to cold email template?

Drop it below 👇


P.S: We compiled the best copywriting frameworks we used to book 15,000+ B2B meetings for 260+ companies into one Notion doc.

Want it? Let me know below, and I’ll send it over :)

Write like the top 1%

Kenny automates entire outbound campaigns using Claude Code.

...and we recorded a 40-min breakdown anyone can replicate:

You write a few prompts in the terminal, along with a list of companies, and then...

Claude Code takes over by:

1. Scoring & segmenting your lead list against your ICP.

2. Finding verified email addresses via several email lookup APIs.

3. Writing personalized copy on its own (based on best performing frameworks)

4. Uploading the whole campaign (leads, sequence & copy) straight into your sequencer.

The entire process is completed in under ~15 minutes.

And we broke it down to the slightest detail.

If you want to view it...

Comment 'Claude for GTM' 
(& I'll send it your way).


P.S: What's the craziest buildout you've done using Claude Code?

How to turn $233,000 in LinkedIn ad spend into > $1,500,000 in closed revenue?

We're showing the entire playbook today. Live

CONTEXT

AirOps had a great product trusted by Webflow, Ramp, Carta and LegalZoom. But their pipeline had been stuck at ~$536K/month for almost a year.

We built a full ABM motion combining outbound + LinkedIn Ads, hitting the same accounts from every angle.


WHAT WE'LL COVER:

Account-Based Outbound
→ Building and tiering target account lists with Clay using fit + intent signals
→ Syncing outbound and LinkedIn Ads to hit the same companies from both sides
→ Signal-triggered plays that changed based on account engagement stage

Thought Leader Ads
→ Why we put 80% of ad spend behind founder content, not product ads
→ Using webinars as an outbound play - 112 positive replies from input-request invites
→ Cross-channel feedback loops between outbound and paid

The Results
→ $7.8M qualified pipeline
→ $1.5M closed-won revenue
→ 164 deals created, 30 closed-won
→ 15x pipeline ROI on $233K ad spend
→ 1,058 outbound replies
→ Ad spend scaled 20x with positive ROI

We won't keep it high-level. We'll show the exact system: TAM to TAL to signal stack to coordinated touches to pipeline.

Hosted by Ivan Falco (Head of Growth at ColdIQ) and Eoin Clancy (VP of Growth at AirOps).

Today, March 12th - 1:30 PM EST

Link to register below 👇

P.S: Anything specific you'd like to learn about combining outbound with LinkedIn Ads?

taplio

The Battle

Enzo Carasso 🧲

Michel Lieben 🧠

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taplio

The Battle

Enzo Carasso 🧲

Michel Lieben 🧠

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Enzo Carasso 🧲's LinkedIn Performance

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