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 🧲

Sales teams leave so much money on the table by refusing to do something stupidly simple.

They will do almost anything except call the lead.

- They’ll try a DM.
- They’ll tweak the copy.
- They’ll send another email.
- They’ll wait for a “better time.”

The lead just sits there.

Uncalled.

At first, this looks like progress.

Then you realize it’s comfort.

Calling feels awkward.
Email feels controlled.

But here’s what actually happens when you pick up the phone.

- You find out if the lead is real
- You hear objections dashboards never show
- You get clarity in minutes instead of weeks

Most deals don’t die from rejection.

They die from delay.

Outbound creates the opportunities.
Calls turn them into revenue.

After watching this play out again and again, here’s the takeaway.

Sales teams don’t avoid calls because they don’t work.
They avoid them because they work too well.

Reality shows up fast on a call.

And that’s the point.

Personally, I use BetterContact to find verified contact details when reaching out. Go check them out if you're interested. 

Where in your follow-up process do calls get pushed to “later”?

If you want outbound leads that are worth calling, start with C17 Lab. We'll:

- Run a no-cost pilot campaign
- Generate real outbound leads
- And show you the system working before you commit.

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

Repost this for someone rewriting emails instead of picking up the phone.

Follow Enzo Carasso 🧲 for more on outbound, offers, and GTM execution.

Most marketing problems aren’t execution problems.

They’re foundation problems.

When results are inconsistent, teams usually push harder. 

More content. 
More ads. 
More activity. 

That rarely fixes the issue.

Good marketing works when the fundamentals are in place.

1/ Market research

You need to understand what buyers already believe, what alternatives they’ve tried, and where those alternatives fail. Skip this and your message has no leverage.

2/ Target audience

A clear ICP creates focus. It forces you to decide who this is for and who it isn’t. Vague audiences lead to vague results.

3/ Value proposition

This is the economic reason someone chooses you over other options. Not a slogan. Not positioning language. If the value isn’t obvious, marketing has to compensate.

4/ Marketing channels

Channels are distribution, not strategy. They only amplify what’s already clear. If you rely on channels to create clarity, scale will expose the weakness.

5/ Content strategy

Content isn’t about volume. It’s about consistency. Every touchpoint should reinforce the same reason to buy. Mixed messages create hesitation.

6/ Marketing campaigns

Campaigns are the execution layer. They apply pressure toward a specific outcome. Without a solid foundation, campaigns turn into activity instead of results.

When marketing works, it feels simple.
When it doesn’t, teams add more motion.

That’s usually backwards.

If you want to see how C17 Lab applies strategic thinking to outbound, offer creation, and GTM systems, start with a no-cost pilot campaign.

We run a real outbound campaign and prove the process before you commit.

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

Repost this for someone fixing tactics instead of foundations.

Follow Enzo Carasso 🧲 for more on outbound execution, offer design, and GTM systems.

Visual credit: reputeforge on Instagram.

Marketing is

I was Alex Hormozi's #1 revenue-generating affiliate worldwide.

I didn’t have any real brand or audience.

What I did have was years of outbound execution experience.

I wasn’t brought in as a service provider.

There was no commercial arrangement.

I chose to support the launch pro bono. 

The approach was straightforward.

A clear offer tied to the launch.
Well-defined audience segments.
Outbound systems executed at scale.

The same mechanics I’d been using for years.

After the launch, people started asking questions they usually don’t ask:

- How did you drive that volume without an audience?
- Why focus on execution instead of visibility?
- Which outbound channels actually mattered?

What stood out to me was how little had changed.

The fundamentals were the same as everything I'd done before.

The difference was visibility and stakes.

That made the outcome impossible to ignore.

Alex acknowledged the achievement publicly.

What this reinforced for me is simple.

Recognition doesn’t come from explaining capability.

It comes from executing where results are measurable.

Many operators already have the skill.

They just apply it in places where the outcome stays invisible.

This is precisely what we do at C17 Lab.

Curious to see it in action?

We run a no-cost pilot campaign and show the process working before you commit.

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

Follow Enzo Carasso 🧲 for more on outbound execution and GTM systems.

2023: 1 man with a desk.

Today: A profitable, 17-person company. 

This photo was taken a week before Christmas.

It felt like the right moment to stop and look back.

When C17 Lab started, the setup was simple.

The work was the same work we still do today.

Outbound execution.
Offer design.

GTM systems that actually hold up.

Over the last couple of years, volume increased.

Responsibility increased.
The systems got pressure-tested.

The foundation didn’t change.

Looking at these two moments side by side, especially as 2026 kicks off, is a reminder of how this really works.

Progress rarely feels dramatic while you’re inside it.

It feels repetitive, sometimes slow, and often unremarkable.

Then enough time passes and you realise it added up.

Most people underestimate how much consistency matters.
Not for weeks.

For years.

What’s something you’ve kept doing the same as your business has grown?

Comment below.

Want to see how the systems we use at C17 Lab apply to your GTM?

Start with a no-cost pilot campaign.

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

Repost this for someone still early in the process.

Follow Enzo Carasso 🧲 for more on outbound execution, offer design, and long-term growth.

Most B2B funnels fail before the first email is sent.

Because founders build them bottom-up instead of top-down.

They polish pitch decks. Tweak CTAs. Obsess over subject lines.
Then they blast 200 accounts and wonder why pipeline is dead.

I’ve built outbound systems for 100+ manufacturers, pro services firms, and B2B SaaS companies.

We send millions of cold emails every month and have booked thousands of meetings.

Here’s the order that actually fills pipeline:

TOP OF FUNNEL: Get Eyeballs

1. Account Reach Engine
Hit the same high-fit accounts repeatedly across channels.
Awareness is a math problem. Solve it like one.

2. Outbound Distribution
Run email and calling at volume on firmographic-fit lists.
If it breaks at 10,000 sends, you never had infrastructure. You had a workaround.

3. Content Reinforcement
Use content to warm up cold conversations.
Content supports outbound. It doesn't replace it.

MIDDLE OF FUNNEL: Find Who Actually Buys

4. Offer-Led Messaging
Lead with a constraint they already feel. Budget pressure. Capacity problems. Missed targets.
Weak offers can't be saved by better copy.

5. Segmentation by Use Case
Segment by buying situation, not job title.
Personas don't close deals. Timing does.

6. Live Feedback Loops
Analyze replies at volume. 50 replies is guessing. 500 reveals patterns.
Silence is feedback. Read it.

BOTTOM OF FUNNEL: Prove You're Real

7. Pre-Meeting Value
Deliver insight before the call is booked.
No value before the meeting? They won't show up to it.

8. Qualification Rules
Strict fit criteria before anything hits the calendar.
More meetings isn't progress. It's overhead.

9. Real Outcomes
Show real numbers. Real constraints. Real results.
Polished case studies destroy credibility. Messy screenshots build it.

Every broken funnel I've seen follows the same pattern:

They fix conversion before they have volume.
They optimize copy before they design the offer.
They add content before they build infrastructure.

This is why you have "leads" but no revenue.

Build top-down. Start with volume. Then relevance. Then proof.

Do it in that order, and outbound stops being spray-and-pray.

It becomes controllable pipeline.

Comment "FUNNEL" and I'll send you the exact breakdown we use.

♻️ Repost if someone in your network is building funnels backwards.

Before C17 Lab, I worked in outbound and acquisition inside large organizations.

Booking.com was my first real role.

Then I worked at other large companies like Square.

That experience shaped how I think about growth.

At scale, the standard theory disappears.

Offers get tested.
Economics show up.
Systems either hold or break.

After years of developing my craft, I left and started C17 Lab.

Today, I’ve helped dozens of 7+ figure companies scale through outbound. 

But the fundamentals I learnt haven’t changed.

Outbound works when:

→ The offer makes economic sense
→ The system is built for volume
→ Value shows up before the meeting

Since then, I’ve applied that same approach across dozens of companies.

Different industries.
Different stages.

But achieving the same outcome: 

Predictable pipeline.

That’s what we focus on at C17 Lab.

No motivation.
No shortcuts.

Just building outbound systems that are proven to drive revenue. 

If you want to see what this looks like in practice, apply for our no-cost pilot.

We’ll run a live outbound campaign so you can see results before committing.

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

Follow Enzo Carasso 🧲 for outbound systems and GTM execution.

Most founders stare at the wrong GTM metrics.

That’s why their outbound “works”… but revenue doesn’t move.

7 KPIs that actually tell you if outbound is working 👇

KPI 1: Cost to Prove Value

What it really is: how much you spend to show real value before a meeting.
Why it matters: if CPV creeps toward LTV, scale just makes you poorer faster.

KPI 2: Qualified Meeting Rate

What it really is: % of meetings that should have been on the calendar.
Why it matters: a “busy” calendar can still be 50% wasted sales time.

KPI 3: Response → Meeting Conversion

What it really is: how many replies turn into booked calls.
Why it matters: interest without meetings means your offer doesn’t create urgency.

KPI 4: Pipeline per 1,000 Contacts
What it really is: dollars of qualified pipeline for every 1,000 people you touch.
Why it matters: activity is a cost center; pipeline is what pays salaries.

KPI 5: Time to First Value
What it really is: how fast prospects feel the value of talking to you.
Why it matters: early clarity shortens sales cycles. Late value kills deals.

KPI 6: Disqualification Rate
What it really is: how often your system says “no” before sales ever gets involved.
Why it matters: if nothing is disqualified, your filters are fiction.

KPI 7: Outbound Pipeline Coverage
What it really is: % of next quarter’s target covered by outbound-generated pipeline.
Why it matters: if outbound can’t cover targets, growth is hope, not control.

These KPIs aren’t about doing more.
They’re about knowing what to control.

If you want to see how C17 Lab builds outbound that hits these numbers:

We run a live outbound pilot, build the system, run a real campaign, and you keep the pipeline before you decide to scale with us.
Comment “PILOT” and I’ll DM you the details.  

PS: If you know a founder still bragging about “emails sent” instead of “pipeline created,” repost this for them.

7 KPIs Every Founder Should Be Tracking

Last year, C17 Lab sent just over 13 million cold emails.

That number matters less than what happened next.

115,111 replies.
23,846 leads generated for our client.
A 20.7% positive reply rate on conversations that actually happened.

Truth been told.

Open rates don’t matter in cold outbound (yes, flash news).
Reply rates don’t matter if they’re low intent.
Volume doesn’t matter if it destroys domains and don't book meetings.

What we care about is signal.

Positive replies mean:
- the offer made sense to a cold audience
– the ICP was tight enough to resonate
– the message created real interest that leads towards a meeting, not curiosity

Bounce rate stayed under 3%.
Reply rate held at scale.
Positive replies stayed consistent across campaigns.

That doesn’t happen by accident.

It comes from starting with economics.
Designing the offer before writing copy.
And building outbound systems that hold up when volume increases.

Most outbound fails quietly.

Ours gets consistent and scalable results. 

Want to see how this looks applied to your business?

We offer an application-only, no-cost pilot campaign.

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

Repost this for someone still judging GTM by open rates.

Follow Enzo Carasso 🧲 for more on outbound, offer design, and GTM execution.

Bad deliverability will kill your outbound before your offer ever gets read.

But everyone blames the copy.

I've sent millions of cold emails. 

Here are the 7 deliverability mistakes that destroy campaigns:

1/ Using a Single Domain for Outbound
→ Running outbound from one domain concentrates all risk in one place.
→ If you seriously want to scale you need at least 100 domains. 

2/ Sending Too Much From Each Inbox
→ High send counts create abnormal patterns that trigger filtering.
→ Cap daily sends at 15-20 emails per day and to never go above 30. 

3/ Treating Warm-Up as a One-Time Step
→ Inbox reputation is shaped by ongoing behavior, not initial setup.
→ Maintain consistent sending for 2-3 weeks minimum and avoid pauses that reset trust signals.

4/ Scaling an Offer That Doesn't Get Replies
→ Low engagement trains filters to deprioritize your emails.
→ If nobody's replying, pause scaling and adjust your offer before touching infrastructure.

5/ Using Opens as a Performance Signal
→ Opens do not indicate intent.
→ Track replies and interactions at the inbox level and remove inboxes with sustained low engagement.

6/ Adding Infrastructure Before It's Required
→ Complex setups delay feedback instead of improving performance.
→ Add complexity only when manual limits are reached.

7/ Treating Deliverability as a Solved Problem
→ Inbox health degrades over time.
→ Rotate domains proactively and adjust volume based on engagement trends.

Outbound isn't about clever subject lines.
It's about engineering systems that survive scale.

If you're doing $2M-$3M+ in revenue and want to see how we engineer outbound pipelines that actually deliver, apply for our pilot campaign.

We'll book 3-4 qualified meetings in your calendar. You verify ICP fit. If they're good, we talk.

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

Repost if you believe infrastructure beats tactics.

Follow Enzo Carasso 🧲 for outbound engineering at scale.

7 Deliverability Mistakes

I learned early that most outbound fails before the first email is sent.

Not because the message is bad.

Because the math doesn’t work.

Early on, I spent time on copy.
Hooks. Openers. Personalization.

Some campaigns worked.
Others didn’t.

When I looked closer, the difference wasn’t language.

It was economics.

Campaigns with average copy succeeded when the numbers made sense.

Campaigns with great copy failed when they didn’t.

That changed how I approach outbound.

I stopped starting with “What should we say?”

I started with “What does this need to work?”

→ Lifetime value.
→ Acceptable CAC.
→ How much we can afford to spend to prove value before a meeting.

At scale, personalization can hide bad offers.

It creates replies and activity.
But it never fixes the equation.

A weak offer stays weak.

A broken CAC to LTV ratio stays broken.

That’s why copy has never been the leverage.

Here’s how I think about it now.

– Lock the economics first
– Design the offer to remove risk
– Decide how much CAC you can afford to spend proving value
– Use copy to deliver the message, not to rescue it

When the math is right, copy gets simple.

Most teams do this in reverse.

They polish words and hope the numbers follow.

The ones that scale fix the numbers first.

Want to see how we design outbound strategies that convert?

That’s what we do at C17 Lab.

We run a no-cost pilot campaign and show the process working before you commit.

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

Repost this for someone rewriting copy instead of fixing the math.

Follow Enzo Carasso 🧲 for more on outbound, offer design, and GTM execution.

Most 2026 growth plans won’t survive Q1.

Not because the target is too big.

Because the system underneath it is the same as last year.

The start of every year looks the same:

→ New revenue goal
→ New pressure
→ Same leaky pipeline

If the operating system doesn’t change, neither do the numbers.

Here’s the 5-part outbound system we see in teams that actually grow:

1/ Aim the system

Pick a narrow ICP, a problem they already lose sleep over, and make sure they have real budget and authority.

If this is fuzzy, every lead source gets expensive.

2/ Design the offer

Buyers don’t care about your service.
They care: “Is this worth the risk?”

Give them: a clear ROI case, terms that feel safe, and proof that answers their biggest objection before they say it.

3/ Build reliable pipeline

You need outbound channels you control: email, calling, LinkedIn.

→ Daily volume targets. 
→ Deliverability handled. 
→ Messaging that actually reaches decision-makers. 

Pipeline isn’t momentum. It’s mechanics.

4/ Turn pipeline into revenue

Calendars full of the wrong meetings kill teams.

Tight qualification rules, clear next steps, and a sales process that matches how your buyers actually buy.

This is where most teams quietly leak deals.

5/ Scale & defend

Systematize what already works.

Then increase volume and headcount on purpose instead of 'hiring and hoping.'

Feed proof back into the system so bigger accounts feel safe saying yes.

Strong companies don’t bet on 'a big 2026'.
They run a system they can execute every single week.

If you want that system installed instead of another New Year wish list:

At C17 Lab, we start with a no-cost outbound pilot:

→ We design the system
→ We run the campaigns
→ You get the leads and meetings

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

Repost this for someone who needs to rethink their 2026 plan.

Follow Enzo Carasso 🧲 for more on outbound execution and GTM systems.

Marketing isn’t magic.

It’s a multiplier.

Multiply by zero, you still get zero.

I see this mistake constantly when reviewing growth plans.

→ Strong product × strong marketing = compounding growth
→ Strong product × weak marketing = slow progress
→ Weak product × strong marketing = expensive disappointment
→ Weak product × no marketing = quiet failure

Marketing doesn't create value.
It scales whatever already exists.

→ Low activation rates just mean more churn at scale
→ Broken unit economics mean larger losses at scale
→ Healthy retention and margins turn marketing into leverage

The sequence matters.

1/ Build something people actually stick with
2/ Make sure the economics work
3/ Add marketing
4/ Let it compound

Most teams reverse this and wonder why nothing holds.

One thing I’ve learned building outbound systems is this:

Marketing feels productive even when it’s masking a weak offer.

That is why it is dangerous when fundamentals are off.

Marketing isn’t the fix.
It’s the accelerant.

Build something worth multiplying.
Then multiply it.

That’s when marketing starts to work.

Where do you see teams rushing the sequence most often?

Comment below.

Thanks to David Manela for the image.

If you want to pressure-test your offer and see how expert marketing performs:

Start with a no-cost, no-risk pilot campaign.

We run a live outbound campaign so you can see results before committing.

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

Repost to help your audience crack the marketing code. 

Follow Enzo Carasso 🧲 for more on offers, outbound, and revenue systems.

Most agencies will rewrite your emails endlessly.

We rebuild the infrastructure those emails/calls run on.

Infrastructure → offers → execution. 

The wrong order will kills your whole system. 

Here's the approach you should take: 


1: Offer-First Outbound

Design an offer that makes sense to a cold buyer. 

Ask yourself: 

How do they actually buy? 
What gets them to take a meeting with zero relationship? 
What can you deliver before the call?

Then align the offer with what actually makes people move. 


2/ Logistics Call Framing

Don't book discovery calls. Book walkthroughs.

Reframe your approach: 

Stop saying "Can we discuss your challenges?"
Start saying:"I built X for your situation. Give me 15 minutes to walk you through it."

The call should be a review, not discovery.


3/ Custom Lead Magnet Engine

Each prospect gets something that's valuable for them.

Start manual. 
One custom analysis per account. 

It's time-intensive, but forces conversations. 

If you solve part of their problem before they agree to talk you're more likely to close.


4/ Manual → Automated

Validate manually. Automate when volume breaks your process.

Manual = low volume, high insight, precise. 
Automated = higher volume, same system.

If you automate before validating, you just scale broken systems.


5/ ICP Learning Loop

Outbound is market research. Conversations refine your ICP and offers.

Target tight. 
Force conversations. 
Extract insight from what they say and where they push back.
Then rebuild your offer and repeat. 

Your third campaign should be 10x sharper than your first.


6/ Speed-to-Experiment

Can't ship in 72 hours? Too complex.

Launch campaigns in 2-3 days. 
Test fast. 
Move faster than competitors spend perfecting copy.


7/ Scale After Proof

Only scale after response validates the system.

Start low volume. 
Tight targeting. Manual. 
Prove it generates qualified pipeline - then ramp.

Scale before validation burns your TAM and credibility.


8/ Measure Pipeline + Learning

Pipeline and insight first. Revenue follows.

Track what you learned: 

Which offers worked? 
Which ICPs responded? 
Which objections repeated?

The conversations are the data.


We ran this system for a manufacturer selling $40K products. 400 qualified leads in 90 days. 47% show rate.

You can watch the breakdown here: https://lnkd.in/g_sHs_Hi

Repost if you want pipeline, not promises.

Follow Enzo Carasso 🧲 for outbound engineering and real execution.

Your leads rarely cost too much, you make too little from them. 

But most founders calculate both numbers wrong anyway.

LTV & CAC: What Actually Matters
Most founders track LTV and CAC.
Few know what "good" actually looks like.

LTV (Customer Lifetime Value)

Formula: Revenue per customer × Gross margin × Retention period
What to watch for: Overestimating retention or using best-customer averages.
Real LTV is lower than you think.

Benchmark: 

80% annual retention = 5x LTV multiplier. 
50% retention = 2x multiplier. 
That's 2.5x more value from the same customer at the same CAC.

CAC (Customer Acquisition Cost)

Formula: Total sales & marketing cost ÷ New customers acquired
What to watch for: Blended CAC hiding rising marginal costs.
Real CAC is higher than you think.

Payback Period

Formula: CAC ÷ Monthly gross profit per customer
What to watch for: Long payback masked by future upside assumptions.

Benchmark: 

30 days or less. 
Why? Credit cards give you 30 days interest-free. 
Recover CAC in 30 days = scale without outside capital.

LTV:CAC Ratio

What to watch for: Ratios improving only because spend is constrained.

Benchmarks by business type: 

Fully automated (SaaS + checkout): 3:1 
One human in loop (salesperson OR service): 6:1 
Two humans (sales + service): 9:1 
All humans (outbound + sales + fulfillment): 12:1

Below these? 

Don't scale. You'll bleed cash.

What Actually Moves The Math:

Retention → LTV → CAC tolerance → Scale capacity
Retention expands how much you can afford to spend on acquisition.

Founder Rules:

They require a clear GTM strategy 
Don't scale what only works at low volume 
Track direction, not single snapshots.

We build outbound systems with predictable unit economics.

Book a pilot: https://bit.ly/C17Pilot

Know your numbers,

Enzo

♻️ Repost if you're recalculating right now.

Most teams suck at outbound.

And there's one mistake that trips them up:

Teams push messages out quickly, across broad lists, without a real offer behind them. 

It feels efficient because activity ramps up fast.

That decision leads to the first failure mode.

1/ Low relevance, low personalization

Generic messaging goes to loosely defined audiences
(backed by weak ICP logic and unclear value).

The result is predictable.

- Reply rates stay low
- Spam complaints increase
- Domains decay before pipeline appears

At this point, teams conclude outbound itself is broken.

So they try to fix it.

2/ High personalization, low relevance

Instead of changing the offer or the ICP, they add effort.

They personalize everything.

- Data points
- Custom openers
- Personal trivia

Replies improve, which feels like progress.

But meetings don’t qualify.
Pipeline doesn’t move.

Personalization increases activity, not relevance. 

The conversation starts, but there’s still no business reason to continue it.

Eventually, the real issue becomes obvious.

3/ Low personalization, high relevance

When outbound works, it starts with clarity, not cleverness.

- A strong ICP definition
- Clear economic pain
- Role-specific framing
- A repeatable offer

Because relevance is doing the work, messages can stay simple.

Signal improves.

Volume starts compounding instead of hurting.

This is where outbound becomes predictable and scalable.

Some teams then push it further.

4/ High personalization, high relevance

For priority accounts, they add depth.

- Deep account research
- Custom pain framing
- Tailored offers

Conversion rates climb.

So does cost.

This approach also means:

- Manual workflows
- High effort per touch
- Limited scalability

This works when used intentionally. 
It breaks when treated as a default motion.

After seeing this cycle enough times, the pattern is clear.

Outbound doesn’t fail because teams don’t personalize enough.

It fails because they personalize before relevance is established.

Relevance has to be engineered first.

Personalization should come after, and only where it pays.

Most teams reverse that order and absorb the cost.

Where does your outbound sit today?

Share below.

Want to see how C17 Lab runs outbound built to actually convert?

Start with a no-cost pilot campaign.

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

Repost this for someone still confusing personalization with relevance.

Follow Enzo Carasso 🧲 for more on outbound, offer creation, and GTM execution.

Outbound in 2026 is way more than just cold email. 

It’s strategic...
It’s automated...
It’s multichannel... 

And most teams are still guessing how to run it properly.

That’s why I’m joining ‘The Biggest Roundtable in the History of Outbound’ at 10:00 EST, today.

This isn’t a webinar full of cheap hacks.

It’s a live roundtable with some of the best operators on the planet, comparing notes on what outbound actually looks like heading into 2026.

We’re talking about:

✅ Why old-school outbound stacks are falling apart

✅ What “native” multichannel actually means in 2026

✅ Automation tactics that don’t wreck your pipeline

✅ How to stop burning SDRs and build systems that scale

✅ The 2026 checklist: what to keep, cut, or create

All from a group of people running outbound at a high level. 

If outbound is part of your growth strategy, you need to attend. 

Register here: https://luma.com/15b32258

I’ll see you at 10:00 EST. 

Repost for others looking to scale through outbound. 

Follow Enzo Carasso 🧲 for more.

Most founders don’t fail because they’re lazy.

They fail because of poor systems and habits.  

They stay busy.
They feel productive.
They tell stories about progress.

Then they check pipeline and nothing moved.

I’ve worked with founders running outbound, sales, and delivery at scale.

The ones who grow don’t rely on motivation.

They run the same weekly drills, whether they feel like it or not.

Here’s the structure that actually moves revenue.


TOP OF THE WEEK: Measure Reality


1. Scoreboard, Not Stories

Start every week with proof, not explanations.

→ New opportunities.
→ Qualified meetings.
→ Proposals sent.
→ Cash collected.

If those didn’t move, nothing else you did matters.

2. Upgrade One Variable In Your Offer

Each week, improve one lever.

→ Guarantee.
→ Proof.
→ Bonus.
→ Terms.
→ Price framing.

Ship the change, then compare results next week.

3. Tighten Who You Sell To

Look at real behavior from the last 30 days.

→ Who replied?
→ Who booked?
→ Who showed?
→ Who bought?

Update your ICP based on that.


MID-WEEK: Force Clarity and Fix Systems


4. Rewrite Your 1-Sentence Pitch

If you can’t explain your business in one sentence, it’s not clear.

“We help [WHO] get [RESULT] in [TIME] without [THING THEY HATE].”

If it confuses a stranger, fix the sentence.

5. Find What Breaks at Today’s Volume

List what failed this week.

→ Follow-ups.
→ Handoffs.
→ Deliverability.
→ Client confusion.

Scale doesn’t create problems - it exposes them.

6. Fix One Constraint in Your System

Pick one bottleneck.

→ Response time.
→ Show rate.
→ Proposal speed.
→ Onboarding clarity.

Fix it.


END OF WEEK: Cut Noise and Increase Signal


7. Talk to One Actual Buyer

Have one real conversation with someone who fits your target.

→ Ask why they bought.
→ Ask what almost stopped them.
→ Ask what actually mattered.

Ignore feedback from people who won’t pay.

8. Run a Weekly GTM Autopsy

Ask two questions.

Where did pipeline actually come from?
What looked productive but did nothing?

Double down on what worked.

9. Sharpen Your Cold Open

Improve how conversations start.

→ Emails.
→ Calls.
→ DMs.

If the value only shows up after the call, it’s too late.

10. Decide What You Will Not Do Next Week

Make a not-doing list.

Tasks that don’t move the pipeline.
Meetings that exist out of habit.

Every founder who complains about growth but skips this cadence is choosing chaos.

Turn this into a weekly operating system.
Run it every week.
No exceptions.

Got it? 

Repost this to remind others in your network. 

Follow Enzo Carasso 🧲 for more on outbound execution, offer design, and disciplined growth.

I've seen countless founders make this mistake. 

They assume that good marketing is just: 

→ A few viral posts
→ Ads everywhere
→ A clever tagline
→ A nice logo
→ A shiny website

That’s the part you can see.

What actually moves revenue tends to go unnoticed.

Behind the scenes, good marketing usually means:

→ Knowing exactly who you’re for
→ Understanding what buyers already believe
→ Designing an offer that makes sense economically
→ Repeating the same message across channels
→ Earning trust before asking for action
→ Measuring what converts, not what looks busy

None of this is flashy.
Most of it doesn't sound cool on social media. 

But it’s the difference between attention and results.

The brands that scale aren’t louder.

They’re clearer.

They make it easy for the right buyer to understand:

- Why this?
- Why now?

What part of your marketing efforts is making the most impact for you right now? 

If you want to see what good, strategic outbound looks like, C17 Lab runs a no-cost pilot campaign.

We launch a real outbound campaign and generate leads before you commit.

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

Repost to remind other founders. 

Follow Enzo Carasso 🧲 for more on outbound, offers, and GTM systems.

Most companies track the wrong metrics.

Not because they’re careless...

Because they assume growth is linear.

It isn’t.

What you should measure changes as the system changes.

Early on, growth is about signal, not scale.
If real buyers aren’t responding, no dashboard will save you.

At that stage:

→ Conversations matter more than volume.
→ Repeated objections matter more than conversion rates.
→ Willingness to take a call matters more than impressions.

Then comes scale.

Now growth is about repeatability.

→ Pipeline per dollar.
→ Effort to outcome.
→ Forecasting accuracy.

More activity without better conversion just creates noise.

At maturity, growth becomes a systems and finance problem.

→ Predictability matters more than speed.
→ Efficiency matters more than novelty.
→ Margins matter more than experimentation.

This is where most teams break things by scaling channels instead of control.

The mistake is always the same:

Using late-stage metrics too early.
Or early-stage metrics for too long.

Metrics change because the system changes.

What works early doesn’t work later.
What scales later isn’t required early.

If growth feels chaotic, you’re probably measuring the wrong signals for your stage.

If you want to see what disciplined outbound execution looks like in practice, apply for our no-cost, no-risk pilot.

We’ll run a live outbound campaign so you can see real results before committing.

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

Follow Enzo Carasso 🧲 for more on outbound systems, GTM, and revenue execution.

Growth Stages

Most companies get to $2-3M ARR then stall. 

Reasons: What got you to $2-3M doesn’t scale past it. 

Not because effort drops.
Because the system gets exposed: 

The offer still sounds good, but the economics aren’t tight.

The ICP is defined, but not prioritized.

Messaging gets responses, but not the right conversations.

Outbound works, but only in bursts.

Pipeline exists, but forecasting doesn’t.

Each part works in isolation.
The system doesn’t.

Scaling past $10M requires alignment.

1/ Offer architecture
If ROI isn’t obvious, velocity disappears.
No amount of activity fixes weak economics.

2/ Market mapping
Broad ICPs hide where revenue actually comes from.
Growth accelerates when you concentrate on the segments that convert cleanly.

3/ Message precision
Good messaging doesn’t persuade.
It filters for buyers who already care.

4/ Outbound engine
At scale, the pipeline can’t be accidental.
It has to be created on purpose.

If output depends on timing, referrals, or hero effort, it’s fragile.

5/ Revenue operations
This is where scale either stabilizes or collapses.
If data and handoffs aren’t tight, leadership is always reacting.

6/ Predictable scale
Forecasting only works when inputs are controlled.
When the system is stable, growth becomes boring.

Miss one piece and everything downstream degrades.

If outbound is part of how you plan to scale, it needs to be engineered with precision. 

Need help building a system that scales? 

Apply for our no-cost, no-risk pilot campaign. 

We’ll run a live campaign to show you how it should work before you make any commitments. 

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

Follow Enzo Carasso 🧲 for outbound systems and growth.

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.

The anatomy of a ~$7M ARR acquisition funnel:

+ $534,000 ARR added so far in January

Step-by-step breakdown ↓

1️⃣ Lead Generation

We get 40,000+ monthly visits on ColdIQ's website.

Our best traffic sources are: 

A. SEO (~12,000 visits)

More specifically:

- Standard articles = typical SEO-optimised articles (this still works, while everybody mostly focuses on AEO)
- Meta Pages = we build some exhaustive resources (e.g: Tools Directories) that rank well on Google.
- Programmatic SEO = we use AirOps to deploy templated pages at scale.

Useful tech: AirOps, Ahrefs, Webflow


B. LinkedIn Posts (~10,000 visits)

As a team (250,000+ combined followers): 

20+ separate post a combined 150+ times per month around prospecting, AI & GTM.

Useful tech: Taplio, Scripe


C. Paid Ads (~4,000 visits)

We run ads across LinkedIn, Meta & Google.

We budget around $10,000/mo to experiment across these channels.

Useful tech: Fibbler, Usermaven


D. Cold Outreach (~3,000 visits)

We constantly run prospecting campaigns based on various plays:

- Value-based lead magnet campaigns
- Success stories lookalike
- Inbound-led outbound
- Social re-engagement

The goal isn't to generate traffic, but at scale, it does come back to our site.

Useful tech: Clay, lemlist, Instantly.ai, Apify, Common Room, PredictLeads, Prospeo.io, Wiza, FullEnrich.


E. Others (~11,000 visits)

Rest is a mix of YouTube, Webinars, Referral, Newsletter & non-attributable Direct traffic (which probably comes from the above channels as well).

Useful tech: vidIQ (YouTube), StreamYard (Webinars), beehiiv (Newsletter).


2️⃣ Lead Capture 

To convert this traffic into meetings, we have:

- one-field signup forms that automatically route & enrich prospects to the right person, via Default.

- email marketing sequences, built inside Customer.io, to push leads to meetings.

- de-anonymization technology, via Midbound | Vector 👻 | Instantly.ai | RB2B, to re-engage qualified visitors.

- free GTM mini-tools, built via Cursor & Claude, to capture email addresses.

- a lead magnet e-book that pops up after 1 min of browsing the site.


3️⃣ Lead Conversion

Most of our deals are sales-led.

They close via Google Meet conversations.

Usually, in 2-3 calls, given the package size ($5,000-10,000/mo).

Attention records our calls.
Leads are stored inside Attio.
We send proposals via Qwilr.

... and we process monthly payments via Stripe.

Ran out of space, so couldn't go as deep as I wanted.
Lmk if you need clarification on any of the below steps 👇

P.S: Any channel that's crushing it for you... 
that we should implement inside our funnel? 👀

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

Valley’s GTM machine books more meetings than 10 SDRs with just 1 person.

Zayd, their CEO, is convinced every GTM can replicate it 👇

1. Content Machine

- Zayd does bi-weekly content interviews on Riverside & turns these into shorts.
- They record all his calls using Fathom.ai / Fireflies.ai and mine them for content.
- He posts 5x per week on LinkedIn & leverages tools such as Taplio & Bluecast for inspiration.
- Their LinkedIn company page mainly comprises social proof posts (e.g, live reactions of new users discovering their product).

He takes screenshots with Shottr and turns them into good-looking graphics.

His personal account focuses on a few content pillars, namely: his founder journey & GTM industry insights.


2. Signal-Based Outbound

Every week he extracts:

- His profile viewers.
- His company page followers. 
- His post engagers (personal & company).
- His website visitors (via Valley, RB2B, & Vector 👻).

Valley autonomously qualifies & tiers each prospect (high vs. medium vs. low fit), removes competitors and enriches contacts.


3. Personalized Messaging

For every high-fit lead, Valley:

- Conducts additional research
- Writes relevant messages.
- Delivers > 30% replies.

This amounts to 40+ positive replies every day in their LinkedIn inbox.


4. Lead Orchestration

When leads reply positively, but end up ghosting, they’re pushed to Slack, with their contact details, via a Zapier automation.

Then, Alex Nelson, Valley's Founding AE, calls to check if there’s still interest.


5. Deal Closing

- They send one-pager proposals via paage.io, which tracks what part of the proposal prospects spend most of their attention on.
- Payments are automatically processed through Stripe.

This entire setup books them > 150 qualified meetings per month.

....and can be reproduced by most B2B growth leaders!

P.S: What would you advise Zayd and his team to get above 200 monthly qualified meetings?

How to write top 1% cold emails:

(Frameworks we use for our $6.5M+ ARR agency customers)

1. AIDA Framework by Monika Grycz 💌 

2. AI Campaign Ideas by Dujam Dunato 

(inspired from Eric Nowoslawski)

3. Right person for Opportunity by Kenny Damian

4. Similar challenges by Patrick Trümpi

5. Observation | Call-Out | Proof by Nick Abraham

6. Trigger | Implication | Pain by Aaron Reeves

7. Trigger | Process | Symptoms by Tal Baker-Phillips

8. Champion Play by Brian LaManna

9. Rhetorical Question by Leif Bisping

10. Content Assets by Ethan Parker

11. "Quick calculations” by Thibaut Souyris

What's your favourite cold email template?

Share it with us 👇

P.S: We compiled the copywriting frameworks we used to book 14,000+ B2B meetings for > 250 orgs in a (pretty) big Notion document.

Do you want it? Let me know below and it’s yours :)

Write Top 1% Cold Emails

AirOps scaled from $2M to $15M ARR in 11 months.

Here's every tool that made it happen:

Their Head of Growth, Eoin Clancy and their Co-Founder Matt Hammel were generous enough to reveal their complete GTM tech stack ↓

1️⃣ ADS & CONTENT

AirOps's mission is to help brands boost their presence on AI Search / LLMs.

Naturally, the primary lever to accomplishing that is content. 
And their stack features:

- Descript, a transcript-based video editing solution, to fuel their webinar and content processes.

- Circle, a community/cohort platform that they leverage to run their 'content engineer' group.

- Figma for design, which now offers robust AI capabilities that make visual creation quicker.

- AirOps, their own platform, to monitor their brand presence in AI search and automate content creation workflows + identify which content gaps to fill to earn citations in LLMs.

For LinkedIn, they use Fibbler to identify which companies engage with their thought leadership.


2️⃣ OUTBOUND

Their outbound tech stack is streamlined but features some of the top prospecting tools in the market:

- lemlist to coordinate multichannel outbound campaigns across email & LinkedIn with personalisation.

- Clay for mapping target accounts, enriching data via multiple providers, and triggering sophisticated outbound workflows.

- Common Room to consolidate buying signals across channels, score contacts/accounts, and drive intent-based activation.

- Trigify.io to monitor ICP relevant social signals and trends across key networks.

- Smartlead to scale bulk email outreach while delivering high volumes of email in the primary inbox.

- Attention to capture sales calls, & power internal workflows, enabling them to extract insights from their satisfied customers.


3️⃣ PRODUCT

They use a few software programs for production data, which feature:

- Hex, an AI-enabled analytics workspace for exploring production data, dashboard & launches.

- Amplitude, a deep product analytics tool, to monitor new users' onboarding journey and for product insights.

- Metabase, a self-serve business intelligence solution for dashboarding and reporting.


4️⃣ WEBSITE & ANALYTICS

Their website is hosted on Webflow, which offers a CMS & site builder that integrates seamlessly with AirOps and their broader content stack.

For tracking & attribution, they use HockeyStack.


5️⃣ HIRING / COMMS

Finally, for team hiring & communication, they rely on:

- Juicebox, an AI recruiting platform for leadership-led sourcing & candidate engagement.

- Loom for async video communication, project walkthrough, and to maintain teams aligned.

That's most of it.

I was actually surprised to see how efficient their stack is.

Just over ~10 GTM tools to scale beyond 8-figure ARR in just a year.

That's remarkably lean if you ask me.


P.S: Anything you'd add to accelerate their growth even further in 2026?

Most companies bet their LinkedIn strategy on the Founder.

We turned 24 employees into LinkedIn influencers:

Which led to: 

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

But most importantly:

- +27 new clients
- +$153,000 in MRR

… in less than 90 days.

And prospects kept telling our sales team: “We see you guys everywhere”.

Here’s how we made this happen 👇


1️⃣ We ran an internal LinkedIn challenge for Q4

Your team might want to post on LinkedIn. But if their job responsibilities don’t include “LinkedIn”… good luck.

We ran a competition & came up with a scoring system with the following prizes:

🥇 $5,000
🥈 $2,500
🥉 $1,500

… and $500 for every person publishing > 20 times over the quarter.


2️⃣ We made it as effortless as possible to post

Successful LinkedIn posts have a “recipe”.

It’s typically a combination of:
→ Well-structured, breathable writing
→ A proven angle or trendy topic
→ A strong hook
→ Nice visuals

But: 

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

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

Designing nice visuals takes time.
→ We put designers at their disposal, so they can focus on the ‘writing’ vs. needing to work on the ‘packaging’.


3️⃣ We invested resources in training the team

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

- Rewrote entire posts & hooks.
- Brainstormed post ideas
- Built a content calendar

As well as group sessions in which we:

- Ran team-wide sessions sharing best practices.
- Brought LinkedIn experts (Lara Acosta & Pierre Herubel) to share their knowledge with our team.


4️⃣ We found people who wanted to grow their brand

We’d ask applicants whether they wanted to grow their brands.
But also, many new joiners heard from us via LinkedIn.

If WE attracted them, they were more likely interested to grow.

Kenny learned about ColdIQ from a post by Monika.

He was already posting on his second day.

He started below 1,000 followers in 2025.
He’s about to reach 10,000.


5️⃣ We led by example, & every success made the others easier

We granted $500 prizes to team members who published 20+ times.
But, I published > 60 times in the same timeframe.

If you’re going to ask your team to post,  do it yourself as well.

Being at 60,000+ followers makes me more believable when I’m telling my team that I’m convinced they can reach 10,000.

But we also have 9 team members above 6,000 followers:

- Mich: 63,000+
- Alex: 57,000+
- Melissa: 43,000+
- Ivan: 19,000+
- Yevhen: 16,000+
- Soheil: 12,000+
- Monika: 10,000+
- Kenny: 9,000+
- Mai-Lan: 6,000+

Every successful internal LinkedIn growth story builds conviction for the rest of the team.

… and I’m pretty sure we’ll see many similar ‘team posting‘ stories in 2026.

If you want to be among these success stories…

Our team can help, just reach out :)

I tried 200+ AI GTM tools in 2025.

Here are the categories I'm bullish on for 2026:

1/ Workflow Builders

Why?
↳ They orchestrate advanced workflows for marketing & sales teams.

Example use-case: Running a personalised outbound campaign via Clay, on autopilot.

Software you can use:

→ Clay
→ AirOps
→ Default
→ Relevance AI


2/ AI Video Tools

Why? 
↳ They repurpose & edit videos autonomously. Some even generate videos from scratch. They can be used for short-form clipping, ads or even creating short movies.

Example use-case: Generating 150+ UGC assets in < 120 seconds to A/B test as Meta Ads.

Platforms you can use:

Video Generation:
→ Pika
→ Runway
→ Synthesia
→ Google Veo
→ OpenAI Sora

Ad Generation:
→ Icon
→ arcads AI

AI Editing:
→ Descript
→ OpusClip


3/ AI Coding Tools

Why? 
↳ They enable you to write code in plain English. They can be leveraged to build complex workflows (or better… build mini-tools for lead generation).

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

My personal favourites include:
→ Cursor
→ Claude Code

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


4/ AI Content Ideation Software

Why?
↳ They help you find viral ideas to inspire high-performing content.

Example use-case: Using vidIQ to find outlier YouTube videos & repurpose the idea as a LinkedIn content piece

Platforms include:

For LinkedIn..
→ Taplio
→ Scripe
→ Kleo

On YouTube...
→ 1of10
→ vidIQ
→ Viewstats
→ Spotter Studio

On Instagram...
→ Sortfeed


5/ MCPs

Why?
↳ They let your AI agents take actions across your software stack. You can use them to perform tasks inside your most-used tools, without having to open them.

Example use-case: Prompting Claude to review your sales calls of the day, research the leads, and cancel for the unqualified ones... without even opening your calendar app.

Platforms include:

For prompting actions...
→ Cursor
→ Claude

To connect apps without native MCP integrations...
→ Zapier
→ Composio
→ Pipedream
→ Docker, Inc


6/ AI Sourcing Agents

Why?
↳ They source precise lead lists in natural language or simply given a few prompting instructions.

Example use-case: Building a list of Marketing Directors who work at AI-native SaaS orgs in New York... by simply prompting the tools in plain English.

Platforms include:
→ Exa
→ Clay
→ Apify
→ Tavily
→ Relevance AI

I ran out of space, but there's more in the carousel 👇

P.S: What GTM trend are you betting on in 2026?

AI GTM Categories

OK- this is going to sound ridiculous.

But, I’ve made well over $2M from posting infographics on LinkedIn.

… and Ada Beltrán created most of these for me.

So here’s the thing:

My LinkedIn journey started with ‘text-only’ publications.
(Like everyone, I guess).

But early on, I started adding some visuals that I’d make myself.

I’d spend 3 hours creating a 7-page carousel.
For it to not even look pretty.

But crazy enough, this ugly visual was getting me 2-3x the likes & the impressions.

So I figured: “if I can write the exact same thing, but get 3x the engagement by just adding an image… why not do it every single time, right?!”

And so this was the beginning of a journey that led me, & then my team, to flood LinkedIn with infographics of all sorts.

20M+ impressions later, it looks like these visuals are still going strong.

My best explanation for why this performs so well is that ‘text-only’ posts take up very little space in the feed.

What this means is that you only have the first 2 lines of your ‘hook’ to entice people into clicking the “see more” button.

But when you publish a 1050 x 1380 image, it takes up the entire space on the feed. People can’t not see the image, and you can actually use it as a second hook by writing a big title on the image. And if it’s detailed enough, it can stand on its own as a post…

But then, everybody started publishing infographics as well.

So I did something even more ridiculous, which was:

Posting ANIMATED infographics.

So here’s the thing:

An animated infographic serves the same purpose as a static one does.

But it holds attention even more, especially if you speed it up, as it loops on itself, making it look like people are watching it over & over (in LinkedIn's eyes, I guess).

So if you want to tap into extra impressions without much more effort, have a look at the infographic below, breaking down how to create animated infographics (#infographiception).

Then, take your best-performing text post ever.
Add a nice visual to it that ‘respects’ the rules laid out below.

And I’ll bet you’ll be thanking me for how well the post performs ✌️

What GTM tools power CEOs at $10M+ ARR?

Their stack costs less than you think 👇

I asked all the 7-figure CXOs & GTM operators I know about the tools they used.

Here’s what they answered:

TOOLS MOST OFTEN MENTIONED:

- Clay (included in 71% of the stacks)
- n8n (48%)
- HubSpot (39%)
- Instantly.ai (35%)
- HeyReach.io (35%)
- Apollo (35%)
- LinkedIn (32%)
- Attio (32%)
- Prospeo.io (29%)
- Lovable (29%)
- lemlist (29%)
- Ahrefs (26%)
- Loom (23%)
- Fathom (23%)
- Calendly (23%)
- FullEnrich (19%)
- Trigify (19%)
- Google Analytics (19%)
- Airtable (19%)
- Zapier (19%)


PEOPLE STACKS FEATURED:

- Charles Tenot (CEO at lemlist | $40M+ ARR)
- Eoin Clancy (Head of Growth at AirOps | $15M+ ARR)
- Jonathan M (VP of GTM Momentum | $13M+ ARR)
- Glenn Miseroy (CEO at Expandi | ~$9M ARR)
- Benjamin Douablin (CEO at FullEnrich | ~$7M ARR)
- Jaspar Carmichael-Jack (CEO Artisan | ~$7M ARR)
- Michel Lieben (CEO ColdIQ | ~$7M ARR)
- Frank Sondors (CEO at Salesforge | $5M+ ARR)
- Hugo Fredon (Co-Founder at Prospeo.io | $5M+ ARR)
- Kai Brandt (CEO Genesy | $3M+ ARR)
- Jules Davies (CEO Scalerrs | $2M+ ARR)
- Eva Johanna Egg (CEO Scripe | ~$1M ARR)
- Nick Masters (Co-Founder at Vector)
- Pierre Herubel (Co-Founder at ContentPath)
- Nikola Sokolov (CEO at Influencer.club)
- Roq Xever (Founder at PredictLeads)
- Kathryn Wu🤝 (Co-Founder @OpenMart)
- Eli F. (CEO @Midbound)
- Jérémy Grandillon (CEO at TC9)
- Noam Nisand (Founder at Leed Services)
- Ada Beltrán (Founder at Dara Studio)


More stacks: coldiq.com/tech-stacks ✌️

Any results surprise you? 

*Note: The total sample is 62 people. As a GTM Agency Founder, I know plenty of others in the exact same line of business, which strongly biases results. This isn’t intended to be a large-scale statistical study, but more so an indication/discovery of what’s out there.

P.S: Want us to add you on here? 
Send a DM with your tech stack :)

Tech Stacks of the Top 1% GTM Operators

The best B2B data is the one your competition can’t find

...and you can source it for less than $29/mo ↓

With just an Apify subscription & a bit of creativity:

Whether you want to target…

→ Prospects complaining about your competitors (by monitoring Reddit, Inc.).

→ Companies outgrowing their current tools (by monitoring G2 reviews).

→ Companies launching new products (by monitoring ProductHunt).

→ Technical buyers (via GitHub)

→ Agencies (via Clutch)

... there's an easy-to-setup workflow for it 👇

P.S: What's your favourite data sourcing use-case?

7 data sourcing use-cases

Introducing ColdIQ's GTM Free Tools:

Try every growth use-case, for Free 👇

There are 1000s of GTM software solutions across 10s of thousands of use cases.

Trying these out usually entails:
- Signing up for a bunch of random solutions
- Trying them out (with a free trial if you're lucky)
- Singling out the right solution for your use-case
- Repeating the process over & over.

So we wanted to solve that.

By building a centralised place that doesn't require credits or signing up, and that lets you experience tech for:

- Enriching leads
- Sourcing signals
- Finding phone numbers
- Finding email addresses
- Uncovering org. tech stacks

... & more.

You can already test out the following solutions to test out against our GTM use-cases:

1. A Free Email Finder
2. A Free Email Verifier
3. A Free Phone Finder 
4. A Free Spam Checker
5. A Free Lookalike Finder
6. A Free GTM Strategizer
7. A Free Tech Stack Finder
8. A Free Email Copy Optimizer
9. A Free Intent Signals Sourcer
10. A Free Campaign Ideation Tool
11. A Free LinkedIn Post Previewer
12. A Free Outbound ROI Calculator
13. A Free People or Job Title Finder

Along with step-by-step guides on how to properly leverage this tech.

It's here: coldiq.com/free-tools ✌️

P.S: Which Free Tool would be helpful to you? 
Let us know, and we'll get on it :)

taplio

The Battle

Enzo Carasso 🧲

Michel Lieben 🧠

Followers

Posts

Engagements

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Performance ScoreEnzo Carasso 🧲's LinkedIn Performance

Performance ScoreMichel Lieben 🧠's LinkedIn Performance

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Enzo Carasso 🧲

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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

Performance ScoreMichel Lieben 🧠's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreEnzo Carasso 🧲's LinkedIn Performance