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

Scalability

CEO & Growth expert

Data Invest

Chief Operating Officer

Reveal (formerly Sharework)

o Implement and optimize acquisition campaigns (Facebook Ads, Linkedin & Emailing)
o Advise on positioning, communications and other marketing issues
o Monitor marketing projects and analyze results
o Create a database (Anyleads, Dropcontact & Neverbounce)
o Develop cold email strategy (Woodpecker & Apollo)

Marketing consultant - Freelance

o In-depth analysis of the sector and commercial opportunities 
o Launch the POC, analyse user’s feedback
o Create UX and design of the web application (Mockups on Sketch; Working in collaboration with developers and web designer)
o Develop the Knowledge base on best practices in commercial maters (SDR, commercial Strategy, hiring process…)
o Help founders for Seed Fundraising end of 2018

CEO Right-Hand

LeGraal

Co-founder

Red Bull

o Create tailor-made campus marketing plans 
o Integrate Red Bull into the student lifestyle 
o Establish and maintain partnerships with key stakeholders
o Organize the regional qualification for Red Bull Mind Gamers

Student Brand Manager

Benjamin Donteville

Cold outreach hurts when your targeting is blind.
It becomes predictable when your data is sharp.

This screenshot is what happens when outreach relies on guessing.
Wrong person.
Wrong timing.
Wrong angle.

The problem is not volume.
The problem is signal quality.

This is why we built AI agents that read accounts, surface intent, and show you exactly who is worth contacting.
Not based on templates.
Based on real data.

When your targeting is right, conversations stop feeling random.
They start feeling inevitable.

Every skill that matters starts with one thing
Learning how to make people care.

Not convince.
Not push.
Care.

That’s why the best founders think like top salespeople.
They know attention is earned.
Trust is built.
And value has to be shown, not shouted.

You’re not selling a product.
You’re selling clarity, direction, and confidence in the next step.

If you master that, the channel doesn’t matter anymore.

We recently made a big shift at Scalability.

We created a dedicated AI team that now works across the entire company.

Product.

Internal processes.

Sales operations.

Everything.

We are 25 people.

And 3 of us, more than 10 percent of the company, focus only on AI.

Their impact is immediate because they ship fast.

Very fast.

The first thing they delivered was an internal library of AI agents.

Agents that use all our internal data and scrape external sources to help us find insights, spot opportunities, and make better decisions.

This shift changed how we build.

It changed how we sell.

It changed how we operate.

AI is no longer a layer on top of our product.

It is part of our company.

Don’t start a company for the title.

Start it only if the problem won’t leave you alone.

That’s exactly how Scalability started.
The problems in outbound were too real and too persistent to ignore.

Nothing scales if the core issues stay untouched.

Outbound doesn’t fall apart because people aren’t trying.
It falls apart because the challenges underneath are real.

Blind targeting
Messy data
Weak signals
Wrong accounts
Low-quality meetings

These aren’t solved with louder outreach or new templates.

This is why we built Scalability.
To fix the actual problems SDRs deal with every day.

AI agents that sharpen ICPs.
Agents that enrich, clean, and update data.
Agents that read accounts, spot intent, and improve timing.
Agents that warm prospects so conversations feel natural again.

When the fundamentals are right, outreach stops feeling like guesswork.
It becomes steady, predictable, and scalable.

Most sales reps don’t fail because they lack skill.

They fail because they can’t stay consistent long enough for the skill to form.

Everyone can have a good day.
Very few can have a good month.

Here’s the pattern:

→ Inconsistent reps restart their momentum every week.
→ Consistent reps build momentum every day.

One keeps losing confidence.
The other keeps gaining it.

Consistency does what intensity never will:

→ It sharpens your timing
→ It improves your message
→ It compounds your pipeline
→ It builds a rhythm buyers can feel

If you want predictable meetings, you need predictable behavior.

The reps who win aren’t waiting for the “perfect moment.”

Touch the accounts.
Send the message.
Make the call.
Do it again tomorrow.

Most people aren’t productive.

They’re just busy.

You can work all day and still feel stuck if your time goes into inbox checks, CRM tweaks, and tasks that don’t move a single deal forward.

The difference is simple:
Busy is reactive.
Productive is deliberate.

If you want real progress, track the work that actually matters:

– How much time actually went into outreach
– How many touches were targeted, not generic
– How much focus time you protect for real work
– How many actions led to a clear next step

Measure what moves you forward.

Everything else is admin disguised as “work.”

Most SDRs don’t have a performance problem.

They have a work allocation problem.

Here’s the data:

• 60 percent of an SDR’s day disappears into admin, CRM fixes, and manual research.
• Only 20–25 percent becomes actual outreach.
• Less than 10 percent happens at the right moment.
• And timing alone drives 40 percent of reply rate variance.

Traditional SDR workflows are built for waste.
AI-driven workflows are built for alignment.

What changes when AI handles the heavy work:

• Research is pulled instantly instead of done manually.
• Data stays clean and enriched without constant human checks.
• Outreach finally happens at warm moments, not random ones.
• SDRs spend 3–4x more time actually talking to buyers.

This is why “working smart” compounds.
The calendar tells the story.

Most Outbound Teams Don’t Have A Volume Problem.

They Have A Waste Problem.

When you look at a full target list, it feels like every account should be contacted.
But when you study the data, only a small slice is actually in a buying window.

That’s where the 12–30–58 Rule comes in.

It’s the simplest way to remove waste and focus your team on accounts that can really move.

Here’s how it plays out:

12% = Active Buyers
These accounts show real movement: funding, hiring, tech shifts, new teams, expansion.
This is where the short decision windows live.
Touch these weekly.
→ Short decision windows
→ High reply likelihood

30% = Good Fits, Wrong Timing
Nothing is happening right now, but they match who you sell to.
These become valuable the moment a signal appears.
Review these monthly.
→ Good strategic fit
→ Converts when timing flips

58% = No Movement, No Signal
No reason to reach out.
No momentum.
No timing trigger.
Touching this group drains reply rates, SDR energy, and reporting quality.
Keep them silent until they show life.
→ Creates operational drag
→ Wastes outbound capacity

The rule works because it organises your outbound around movement, not message volume.

Small shifts in timing create big shifts in pipeline.

If you want predictable outbound, start here:
Work the 12%. Monitor the 30%. Ignore the 58% until they wake up.

Let movement lead. Everything else gets easier.

How to Cut Outbound Waste Fast

Sales teams using AI make more money.

The gap between early adopters and everyone else is widening.

The new Gong study analysed 7.1 million opportunities across 3,600 companies.
The pattern is impossible to ignore:

1. Reps aren’t losing because win rates dropped.
2. They’re losing because they’re working fewer opportunities.
3. And they’re working fewer opportunities because their time leaks into admin, prep, and manual research.

AI resets the balance of work.

→ Less time searching
→ Less time guessing
→ Less time rewriting
→ Less time forecasting from sentiment

Teams using AI in their workflow are:

→ 65 percent more likely to increase win rates
→ Generating 77 percent more revenue per rep
→ Achieving 10-15 percent better forecasting accuracy
→ Moving from automation to actual intelligence like timing, risk, signals, deal patterns

And the most interesting point:
Reps aren’t becoming redundant.
They’re becoming more focused.

When AI removes the 60-70 percent of work that isn’t selling, reps finally spend their time on conversations.

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The Battle

Simon Brossard

Benjamin Donteville

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The Battle

Simon Brossard

Benjamin Donteville

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);}Benjamin Donteville's LinkedIn Performance

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