Simon Brossard

Whipping up new ideas... | Previously CBO @lemlist

Un truc que j’ai appris après avoir passé 3 ans chez lemlist, en passant de 2 à 22 millions d’euros d’ARR :

👉 90% du succès de ta prospection dépend de la qualité de ta liste de contacts.

Si ta liste est mauvaise dès le départ, tes résultats le seront aussi 🤷‍♂️

C’est exactement pour ça qu’on a lancé Cleon1, spécialisé sur le marché français.

Plus de numéros de mobile fiables et précis.

Moins de temps perdu.

Plus de deals signés.

Simple, non ?

Et en bonus, je partage aussi notre aventure entrepreneuriale, les hauts comme les bas !

Chief Business Officer

Let AI do the heavy lifting for your Revenue.

Most sales teams still operate like it's 2019: manual prospecting, messy CRMs, and reps spending 80% of their time on tasks that don't make deals.

Meanwhile, winning companies have built something different.

They've built GTM engines. Systems where AI handles the research, the enrichment, the cleaning, the scoring, and the routing, so their team focuses on what actually builds pipeline: conversations.

That's what I do.

I'm the founder of TC9, where we design and build AI-powered GTM engines for B2B companies. 
We connect the dots between your data, your CRM, and automate the 80% that shouldn't need a human.

But my work doesn't stop at execution.

In my content, you'll find: 
→ How AI is reshaping the way companies sell
→ Which strategies are working right now (and which are already obsolete)
→ The systems, tools, and frameworks behind modern revenue teams

If you're a founder, VP of Sales, or revenue leader trying to figure out what the next era of GTM looks like: you're in the right place.

Jérémy Grandillon

LinkedIn has 1 billion+ users. 310 million active monthly.

And almost no one is actually leveraging it.

On Instagram, you're fighting for attention against million creators.
On TikTok, the algorithm decides if you exist.

On LinkedIn, you're walking into a room full of buyers, VPs, and decision-makers.

And barely anyone is talking.

I've generated more pipeline from LinkedIn posts than from any cold email campaign I've ever built.

No ad spend.
No SDR team.
No outbound sequence.

Just content that hits the right people at the right time.

Here's what most professionals get wrong:

→ They think their post will get buried.
→ They think they need to be a "thought leader" first.
→ They think content doesn't drive revenue.

Meanwhile, 170 million new users are expected by 2028.
The feed is still starving for real expertise.

Every day you're not posting, your competitors are training LinkedIn's algorithm to serve their content to your buyers.

That's not a branding problem.
That's a pipeline problem.

We're still in the early days.
The window is open.
But it won't stay open forever.

What's the one thing that's stopping you from posting consistently?

Clay now works natively inside Claude.

Most people don't realize what this unlocks yet.

You can enrich leads, build prospect lists, score accounts, and run full research workflows without leaving a single conversation.

No API setup. No Zapier glue. Just prompts.

I put together 40 ready-to-use prompts across 7 categories:

→ Account research
→ Contact research
→ Personalized outreach
→ Account intelligence
→ Buying committee
→ Trigger signals
→ Sales assets

Each one is copy-paste ready.

Some replace workflows that used to take 3-4 tools and 30 minutes of setup.

Now it's one prompt. One answer. Done.

The Clay x Claude integration is still early. But for GTM teams already using both tools, this is massive.

Save this post. 
Or better: open Claude right now and try prompt no.1.

What's the first Clay workflow you'd run inside Claude?

TOP 40 Prompts For Clay In Claude

2.5 years ago, I was a sales rep trying to figure out GTM automation before anyone called it that.

Today, I'm honored to join HubSpot For Startups as a GTM mentor.

Still feels surreal to write that.

When I started building outbound systems, we were a small group of nerds convinced this was the future of sales.

Honestly, there were months when "too early" felt like a nice way to say to myself "wrong direction."

Fortunately, peers and mentors made me feel "You're not crazy. Keep going."

That's how I kept going.

So when HubSpot asked me to mentor startup founders on GTM automation, AI-powered outbound, and revenue infrastructure, I said yes immediately.

Not because I have all the answers.
Because I know how much it matters to have someone in your corner who's already made the mistakes.

If you're running a startup (€2M+ in funding) and want to go deep on GTM automation, signal-based selling, or building your outbound engine the right way, apply to the HubSpot for Startups program.

Apply here: https://lnkd.in/e2SP8zFv

What's the one GTM problem you'd want a mentor's help solving first?

We are doing it again!

Paris is hosting the French nomination event for the Clay Cup 🏆

Last year, Malo Brinquin did an amazing job and competed on the world stage.

This year, the stakes are bigger.

$50,000 prize pool for the winner.

The Clay Cup is the only competition in the world where GTM Engineers go head-to-head on live builds.

Clay workflows. Enrichment logic. Signal-based outbound. Real problems, real time.

And we need to find the best one in France! 🇫🇷

If you've been building in Clay for months, automating outbound, enriching CRM data, stitching together APIs nobody else even knows exist...

This is your moment.

One winner represents France at the World Cup.

The event is next week! 
Register here: https://luma.com/4e641wpd 

Who's in? Tag someone who should compete.

Most AI tools are expensive distractions.
These 7 actually generate pipeline.

I tested every AI app that promised to "10x" my workflow this year.

Most did the same thing.
Looked impressive in a demo. Collected dust after 48 hours.

The pattern is predictable.
Cool interface. No clear use case. No measurable output.

The tools that stuck aren't the flashiest.
They plug into a real GTM workflow and produce something you can measure.

Pipeline. Meetings. Revenue.

Not "saved time." Not "better ideas."
Actual business outcomes tied to a number.

These 7 passed one filter: they stayed in my daily stack for 6+ months because removing them would cost me money.

Full breakdown in the carousel.

What's the one AI tool you couldn't run your GTM without?

7 AI Tools That Will Save You Hours

Most sales teams are chasing the latest AI feature.
Meanwhile, fundamentals are broken.

No tool will save you if you can't answer three questions:

→ How am I relevant to my targets?
→ How do I reach out at the right time?
→ Is my technical setup delivering my messages?

Everything in outbound reduces to these three variables.

The rest is execution.

And execution goes wrong when you stack 5-6 tools and lose yourself in complexity.

Or, you can focus on one good tool that covers it all.

I’ve been using lemlist for almost 10 years, and I consider it one of the best tools in the outbound stack.

Here's what makes it work:

→ Built-in lead database. 
When I define my ICP, I build the list directly inside the tool. No exporting CSVs. No enrichment subscriptions. Just one workflow.

→ Signal detection. 
Job changes, website visitors, LinkedIn activity. You know when the timing is right before you hit send.

→ AI features that make sense.
Automatically cleaning names, classifying leads in relevant buckets, company latest news. No AI for the sake of it, only what you’d have done anyway. 

→ Multi-channel sequences. 
Email, LinkedIn, WhatsApp. Deliverability monitoring, warm-up included, all channels in one workflow.

Get the strategy right first. 
Then pick the tool that matches your resources.

After that, you'll have plenty of time to evaluate the next shiny feature the lead gen bubble is selling you.

What does your current outbound stack look like?

Stop overcomplicating outbound - Fix the basics

Most follow-up emails get ignored for the same reason.

They say nothing new.

"Just checking in."
"Wanted to circle back."
"Any thoughts on my last email?"

Your prospect ignored email no. 1.
Sending the same energy again won't change that.

The fix is simple: every follow-up needs to add something the previous email didn't.

Here's what actually works:

→ A real suggestion on how they could improve something you noticed

→ A short case study from a similar company in their industry

→ A data point or resource they can use right now, even if they never reply

→ A different angle on the same pain point

The rule is simple: if your follow-up doesn't give the prospect a reason to care, it gives them a reason to archive.

Keep it short. Keep it human. Make every email earn its spot in the sequence.

What's your go-to move for follow-up emails that actually get replies?

Most sales teams memorize objection-handling scripts.
Top-performing ones study why buyers say yes in the first place.

6 psychology principles that separate closers from callers:

→ Reciprocity: 
Give value before you ask for anything. Free audits, templates, teardowns. Prospects who receive first feel compelled to respond.

→ Commitment & Consistency: 
Start with small yeses. "Do you agree pipeline visibility is a problem?" Once they nod, bigger commitments follow naturally.

→ Social Proof: 
"80% of Series B SaaS teams in your space use this approach." Logos, testimonials, peer benchmarks. Nobody wants to be the one left behind.

→ Authority: 
Lead with expertise, not ego. Case studies, certifications, data-backed insights upfront. Your prospect decides in 3 seconds if you're worth listening to.

→ Liking: 
Mirror their tone. Find common ground. People buy from people they trust, not from whoever has the best pitch deck.

→ Scarcity: 
Urgency drives action. "3 spots left this quarter" or "Offer expires Friday" works because it's true, not because it's a trick.

Here's the thing most teams miss:

These principles aren't just for live calls.

They can be engineered into every touchpoint of your outbound system.

Your cold email sequence. Your landing page. Your lead scoring logic. Your follow-up cadence, etc.

The best GTM engines don't rely on reps remembering psychology. They bake it into the workflow itself.

Which of these 6 principles has the biggest impact on your reply rates?

Most B2B outbound teams ignore SEO entirely.

And most SEO teams have no idea what the sales team is sending.

That disconnect costs pipeline every single week.

Here's what actually happens when they stay siloed:

→ Cold emails land with zero brand recognition
→ Prospects Google you and find nothing useful
→ Sales cycles stretch because trust starts from zero
→ Content drives traffic that never converts to pipeline

Now flip it.

When outbound and SEO work as one system, prospects already recognize your brand before the first message hits their inbox.

They search your name. They find proof.

The first sales call feels warm instead of cold.

Reply rates go up. Sales cycles shrink. Pipeline becomes predictable.

We're breaking down exactly how to build this tomorrow in a live session.

What we'll cover:

→ How SEO visibility improves outbound reply rates
→ How to structure content that removes objections
→ How to turn two separate engines into one system

I'll be joined by Bill Stathopoulos and ​Theo Kanellopoulos​ from ​SalesCaptain​, and ​​Milan Savov​​ from ​SmartClick - Web and SEO Agency​.

📅 March 24, 2026 at 2 PM CET

Register here: https://lnkd.in/eh5CqKjN 

If you're running outbound and SEO separately right now, what's the biggest gap you see between the two?

I stopped caring about our enrichment waterfalls. 
And our data quality went up.

Provider A for company data.
Provider B for profiles.
Provider C for emails.
Provider D for phone numbers.

Each one with its own API, its own rate limits, its own failure modes.

Then you had to build the logic:
→ Try provider A first
→ If no result, fall back to B
→ If B returns a catch-all, try C
→ Validate everything at the end

It worked. But it was fragile, expensive to maintain, and broke every time a provider changed their API.

FullEnrich basically replaces that entire stack.

They aggregate 20+ data vendors behind a single interface.
They manage the waterfall logic for you.
They run the deepest validation layers I've seen for both email and phone numbers.

The coverage is the highest I've tested. 

Not because they have one magic database, but because they combine every major provider and pick the best result per contact.

(Not to mention that you only pay for valid contacts)

A month ago they added search.
So now you don't just enrich existing lists. You build the list directly from the tool.

That removed our last dependency on a separate prospecting platform.

If you're still stitching together 3-4 enrichment providers manually, give FullEnrich a try!

I Replaced My Data Providers With One Tool

AI didn't rewrite the rules of GTM.
It just made them impossible to ignore.

3 laws that separate winning GTM teams from everyone else:

→ Be unique or be invisible.

AI made personalization trivial.
Every SDR can write a decent cold email now.
Your edge isn't personalization anymore.
It's the creative insight behind the message.
The signal you spotted that nobody else did.

→ No playbook stays effective for long.

What converts today gets copied tomorrow.
AI compresses the saturation cycle from months to weeks.
The teams that win aren't running "the best" playbook.
They're already testing the next one.

→ Speed of iteration is the only durable advantage.

Not your tech stack. Not your data. Not your copy.
How fast you can launch, measure, and kill what's not working.
GTM Engineering exists because of this law.
Clay, n8n, HubSpot workflows. Build once, iterate daily.

These 3 laws existed before AI.

But when every competitor has the same tools, the same enrichment data, and the same LLMs writing their sequences, etc.

The only variable left is how fast you compound what works.

What's the one GTM experiment you're running right now that didn't exist 6 months ago?

Most sales teams use signals wrong. 

One signal. One email. Zero relevance.

Two years ago, triggering sequences off job changes, tech installs, or funding rounds required custom Clay tables, API chains, and a GTM engineer to glue it all together.

Now lemlist brings those signals directly into the outbound workflow, so reps can spot intent and act on it immediately.

Intent signals, buying triggers, and personalization now live in the same place instead of across 5 different tools.

That changes the game in two ways:

→ Generic ‘Hey {first_name}, saw your company is growing’ emails are much harder to justify now

→ As baseline outbound quality rises, prospects raise their bar too

Democratized tooling doesn't mean everyone wins. 
It means standards rise.

The teams that win are the ones stacking signals with real expertise.

Not just "they hired a new VP Sales, let's email them."

More like: they hired a VP Sales + their G2 traffic spiked + they posted a RevOps role on LinkedIn = this company is rebuilding their outbound engine right now.

In most cases, 3 stacked signals create a much stronger reason to reach out than 1 isolated trigger.

The tools got easier. The thinking didn't.

So I built a playbook breaking it all down:

→ Top use cases breakdown
→ The signal categories that actually matter
→ The frameworks behind our best reply rates

Comment "SIGNALS" and I'll send it to you.

Cold outreach isn't dead. Your targeting is.

Most outbound teams still operate the same way they did in 2019.

Scrape a list. Write a generic pitch. Blast 10,000 emails.
Hope for 1.8% reply rates.

That math doesn't work anymore.

Here's what I see across the GTM stacks I audit:

→ €500+ cost per lead because reps are emailing people with zero buying intent

→ 75+ cold emails hitting every decision-maker's inbox per week, and yours says "we're great" instead of solving a specific pain

→ Zero signal tracking. No intent data. No engagement scoring. Just gut instinct and Salesforce prayers.

The budget conversation has changed too.
CFOs aren't funding outbound that converts at 2%.
They want pipeline efficiency, not send volume.

The teams winning right now have flipped the model entirely.

Instead of spray and pray, they run signal-based systems.

Clay enriches leads with real buying triggers.

HubSpot scores and routes based on engagement patterns.

Sequences fire only when intent is confirmed.

One GTM Engineer replacing what used to take 4 SDRs.
Lower cost. Higher conversion. Actual pipeline.

The gap between legacy outbound and modern GTM infrastructure isn't closing.

It's widening every quarter.

What's the most expensive outbound inefficiency you've found in your stack this year?

My deliverability dashboard said 100%.

But it was a lie. 

Green check marks everywhere. 

Then a prospect replied: "Found your email in my spam folder."

Damn.

So I started digging. 
Turns out it wasn't just one email landing in spam. 
My tools never flagged it.

Most teams rely on open rates as their deliverability metric. 

But:
→ Spam filters hate the tracking pixel
→ Some providers now blocks it entirely
→ It can't tell you if you landed in inbox or elsewhere

So you check your outbound platform's deliverability score instead. Green lights, high scores, you move on.

But those scores come from a closed warmup pool. 

Emails bouncing between mailboxes inside the same system. It's not the real world.

The fix is called inbox placement testing.

You send to a group of real monitored mailboxes across multiple providers outside the warmup pool. 

Each one reports back exactly where your email landed. No guessing.

I moved to Mailpool for this. 
They have ~5,000 monitored test mailboxes rotated monthly. 

You pick which providers to test against, send your email, and get a dashboard showing exactly where you landed per provider.

My results were ugly. But at least they were real.
Now I have a better understanding and control. 

If cold email is one of your acquisition channels and you don't have inbox placement testing running, you're in troubles.

Open rates won't save you. 
Warmup scores won't save you.

Real emails to real mailboxes in real conditions. That's the only metric that counts.

Give Mailpool a try, you might be surprised with what you find! 

What's your current setup for monitoring deliverability beyond open rates?

taplio

The Battle

Simon Brossard

Jérémy Grandillon

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taplio

The Battle

Simon Brossard

Jérémy Grandillon

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);}Jérémy Grandillon's LinkedIn Performance

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Performance ScoreJérémy Grandillon's LinkedIn Performance