# Exemples de lead magnets LinkedIn — Sales teams

> 22 posts LinkedIn réels « commente un mot, reçois la ressource » en sales teams, classés par score de viralité. Données live depuis l'analyse LinkedIn de LinkPost.

Chaque post est un exemple de *lead magnet* : son auteur propose une ressource (guide, template, checklist…) en échange d'un mot-clé en commentaire, puis l'envoie en DM.

## 1. Sales teams

**279 likes · 265 commentaires · viralité ×4.8**

**Mécanisme :** comment GTM below.

```
Gojiberry AI just hit $1M ARR.

A few months ago we were at €0.

This is the second SaaS I've built. The first one I sold at €500K ARR.

This time, we moved faster. Here's exactly how we did it, so you can do it too.

The core principle that changed everything:

We used our own tool to grow our own tool.

Gojiberry AI finds high-intent leads and engages with them automatically.

We run it on ourselves. It works insanely well.

Here's the full breakdown:

1) Outreach (the engine)

- LinkedIn: 5 accounts, 30 connection requests + 30 DMs per account per day.

Only targeting warm leads showing real intent.

Connection acceptance rates and reply rates are insane when you do this right.

- Cold email: 6,500 emails per day. 302,000 sent in 90 days. 900+ opportunities created.

41 domains, 123 inboxes, plain text only, no links, no images, 2-3 email sequences max.

Total infra cost: ~$600/month.

The offer is always the same: a valuable blueprint. No pitch. Just value first.

2) Inbound (the compound effect)

- LinkedIn: 6 posts per day across 6 accounts.

6 days/week = lead magnet content. 1 day/week = founder story.

Last 7 days: 588,187 impressions.

- Reddit: 11.8M+ views in 4 months. The trick: warm up the account, post 3x per week, tell real stories, offer blueprints, and never debate the haters.

- YouTube: Long-tail SEO content targeting competitor keywords. It's starting to rank.

- SEO: 50K visitors/month and growing fast.

3) Paid (we're just starting)

- 3 LinkedIn influencer posts/week (~$500 each).

- Facebook retargeting + acquisition

Scaling paid ads aggressively right now.

4) Demos

5–8 per day. ~70% close rate to free plan. Mostly sales teams.

What actually worked:
→ Using our own tool on ourselves (this alone is a cheat code)
→ High-intent outreach > cold outreach. Every single time.
→ Lead magnet posts on LinkedIn that generate thousands of comments. 

One post added $5K MRR in under 24 hours. Cost: $0.

→ Replying to every single comment.
→ Speed. Every delay kills momentum. We removed friction from every step of the funnel.
→ AI helping us do 10x more than we ever could alone.

What's not working:
- Churn is still too high
- We need to delegate. We're currently hiring a product owner/designer to help us scale to $10M ARR (feel free to reach out if you know someone 😇 )

The honest truth:
The path from €0 to $1M ARR is not glamorous.

It's 18-hour days, boring repetitive work, testing things that fail, and doing it all again tomorrow.

But if you do the right things every day, good outreach, real value, fast follow-up, it compounds.

And one day you wake up and you're at $1M ARR.

The goal now: $10M ARR.
LFG. 🔥

PS : we're about to launch a 0 -> $1M ARR GTM course. Want to receive it? comment GTM below.
```

## 2. Sales teams

**913 likes · 7017 commentaires · viralité ×3.7**

**Mécanisme :** 2. Comment "CLAUDE"

```
CLAUDE just automated 100% of my LinkedIn outreach.

0 manual messages. 0 generic messages. 0 hours wasted.

Most people think AI outreach = spammy messages that get ignored.

They're right. Bad AI kills your outreach.

But when you use it properly?

You get personalized messages at scale that actually book MEETINGS.

I've spent 6 months testing AI outreach systems with B2B founders and sales teams.

The breakthrough came when we cracked the personalization code.

I've documented the entire system in a guide:

→ Why personalization is the only strategy that works
→ How to train AI on your ideal conversations
→ The exact tech stack we use
→ Real conversation examples that booked meetings
→ How to scale without losing the human touch

This system runs 24/7. 

It enriches data, crafts personalized messages, and handle full conversations on AUTOPILOT.

One founder used this AI to book 11 qualified meeting last week. 

The ROI is insane when you nail the setup.

I'm sharing the complete implementation guide.

Want access?

1. Connect with me
2. Comment "CLAUDE"

PS: repost for priority access
```

## 3. Sales teams

**174 likes · 604 commentaires · viralité ×2.9**

**Mécanisme :** Want access? 1. Connect with me 2. Comment “CLAUDE” I’ll send it over.

```
CLAUDE just automated 100% of my LinkedIn outreach.

0 manual messages. 0 generic DMs. 0 hours wasted.

Most people think AI outreach = spam.

They’re right.

Bad AI doesn’t just hurt results it kills your reputation.

The problem isn’t AI.

The problem is how people use it.

For 6 months, I tested AI outreach systems with B2B founders and sales teams.

Tools that promised “personalization at scale.”

What they actually delivered:
• Template spam
• Fake variables
• Manual replies when prospects pushed back

That’s not automation.

That’s busywork.

The breakthrough came when we stopped automating messages

and started automating conversations.

Here’s what changed everything:

Claude doesn’t send sequences.

Claude runs end-to-end conversations.

What it does now…
→ Researches each prospect individually
→ Understands company context and LinkedIn behavior
→ Writes truly personalized first messages
→ Responds to replies based on conversation history
→ Handles objections intelligently
→ Qualifies prospects before booking
→ Books meetings only when there’s real intent

No scripts. No pitch slaps. No human babysitting.

This system runs 24/7.

It enriches data.

Crafts personalized messages.

And manages full conversations on autopilot.

we booked 120+ qualified meetings last month using this setup.

Not because of volume.

Because every message felt relevant, timely, and human.

The ROI is insane when the setup is right.

I documented the entire system in a practical guide:
→ How Claude is trained to sound human
→ The conversation framework that gets replies
→ How chats turn into meetings without pitching
→ The autopilot system that runs daily outreach

I’m sharing the full implementation.

Want access?

1. Connect with me
2. Comment “CLAUDE”

I’ll send it over.
```

## 4. Sales teams

**109 likes · 206 commentaires · viralité ×2.3**

**Mécanisme :** Commentez “prospection”

```
J’ai découvert un outil LinkedIn complètement fou que tout le monde devrait utiliser pour sa prospection.

Il permet de gérer toute sa prospection LinkedIn depuis un seul endroit.

Énormément d’outils font ça, vous me direz.

Oui. Mais celui-ci :

✅ Permet de gérer plusieurs comptes LinkedIn et scaler sa prospection

✅ Centralise toutes vos conversations dans une seule inbox

✅ Permet de créer des workflows de prospection ultra avancés
 (view profile → like → demande de connexion → message → relance…)

✅ Adapte automatiquement les actions selon le comportement du prospect
 (si connecté, si pas répondu, etc.)

✅ Utilise l’IA + un ICP scoring fit pour filtrer automatiquement les profils les plus pertinents

✅ Permet de sourcer et d’enrichir des leads qualifiés

Spoiler : J’ai testé l’outil et honnêtement… je m’attendais pas à ça.

Le truc, c’est que normalement, cet outil est en abonnement
(entre 79€ et 999€/mois sur leur site).

Mais en ce moment, il y a une possibilité de l’avoir à vie (paiement unique, plus d’abonnement).

⚠️ Le deal est temporaire.

L’outil restera en abonnement, mais ceux qui en profitent maintenant pourront le garder à vie.

Pour obtenir votre accès :

- Likez ce post (❤️)
- Commentez “prospection”
- ⚠️ Ajoutez-moi à votre réseau ⚠️

(indispensable, sinon je ne pourrai pas vous envoyer le lien)

Et je vous enverrai dans la foulée l’accès en DM.
```

## 5. Sales teams

**30 likes · 7 commentaires · viralité ×1.8**

**Mécanisme :** Likez et commentez avec le mot "ZELIQ"

```
Je vais être honnête avec vous.
Quand on m'a proposé de devenir partenaire de Zeliq, ma première réaction c'était : "Encore un outil de prospection… super." 😐 Et puis j'ai testé...

Et là, j'ai compris pourquoi Dorian Ciavarella a construit quelque chose de vraiment différent.

ZELIQ, c'est quoi concrètement ?

C'est la plateforme tout-en-un pour les équipes commerciales qui en ont marre de jongler entre 8 outils différents pour trouver un email vérifié.

✅ Base de données de +450M de contacts qualifiés 
✅ Enrichissement automatique Zeliq interroge plusieurs providers en même temps (RocketReach, Findymail, People Datalab…) et vous ramène le meilleur résultat 
✅ Séquences multicanal (email + appels + LinkedIn) pour engager vos prospects sans vous noyer 
✅ Dialer intégré pour appeler directement depuis la plateforme 
✅ Filtres avancés : taille d'entreprise, secteur, job title, décideurs, changement de poste récent…

En gros : vous trouvez vos leads, vous les enrichissez, vous les contactez. 

Le tout au même endroit.

Pour qui ?
👉 Les SDRs et BDRs qui veulent prospecter plus vite et mieux 
👉 Les sales managers qui veulent outiller leur équipe sans se ruiner 
👉 Les indépendants, consultants et TPE/startup qui veulent prospecter comme des grands sans une armée de tools

🎁 Et maintenant la partie fun : le jeu concours !

Pour fêter ce partenariat, on fait un tirage au sort parmi les commentaires de ce post. 

1 gagnant remportera 500 crédits Zeliq offerts : de quoi bien démarrer et tester sans se poser de questions.

Pour participer, c'est simple : 
 👇Likez et commentez avec le mot "ZELIQ" + dites-moi quel est votre plus gros challenge en prospection en ce moment.
(Augustin Tonnel 📞 t'as pas le droit de participer ! c'est de la triche ! )

(Le tirage au sort aura lieu dans vendredi, je vous annonce le gagnant en commentaire.)
Un grand merci Vincent Deloffre pour la confiance, et pour avoir construit un outil qui donne vraiment envie de prospecter. 

C'est pas rien. 🙏

Moi c'est Julien 🤘 et j'aide les entreprises ambitieuses à construire un processus commercial performant.
```

## 6. Sales teams

**29 likes · 28 commentaires · viralité ×1.8**

**Mécanisme :** formula + HTTP API setup in the comments 👇...no gatekeeping

```
cold email is dead on arrival if you're only checking for google and microsoft.
ever burn a domain and not know why?

could be you sent 2000 emails to proofpoint-protected accounts without realizing it.

plays I use every day as a gtme, part 14 ⚡

run this check on every outbound list before anything sends.

HTTP API pulls MX records. formula classifies by security tier.
the tiers:

major providers (google, microsoft, yahoo, zoho) standard filtering. you know the drill.

high security (proofpoint, mimecast, barracuda, cisco esa, fortinet, gosecure) 

these companies pay for email security. filtering is the entire product. domain warmth matters here.

standard hosting (godaddy, namecheap, rackspace, hostinger, titan) web hosts with basic email. cold email friendly.

custom wildcard. test it.

thing is... these don't announce themselves.
mxb-00212703.gslb.pphosted*com

looks like keyboard mash.

that's proofpoint. enterprise security.

mailstream-central.mxrecord*mx
doesn't say mimecast anywhere.

it's mimecast. same tier.

ameriqual-com-1.fortimailcloud*com
fortinet. another brick wall.

without this context, you're burning warmed domains on enterprise security 

while skipping the godaddy accounts that would actually reply.

the play:

➡️ HTTP API in Clay pulls MX records 
➡️ formula classifies provider + tier 
➡️ filter before sending 
➡️ stop wasting good domains on bad targets

one formula. zero credits. instant infrastructure context.

formula + HTTP API setup in the comments 👇...no gatekeeping

shawn, the gtme alchemist 🧙‍♂️ follow for more plays you can actually use...like right now!!
```

## 7. Sales teams

**110 likes · 212 commentaires · viralité ×1.7**

**Mécanisme :** Comment "CLAY" and I'll send you the tutorial!

```
HUGE update: You can now use Clay DIRECTLY inside ChatGPT.

This is an absolute game changer for sales teams and anyone doing outbound.

I've been testing it nonstop…

Here are 7 ways I'm already using it (without ever leaving ChatGPT):

1. Find email addresses instantly
If you need someone's contact info, just ask ChatGPT and it'll run the Clay enrichment to find their email for you.

2. Draft personalized emails
Describe the email you want and ChatGPT writes it, then sends the draft straight to your inbox. Edit and send.

3. Map buying centers
Ask ChatGPT to identify the buying center at any company and it pulls the full decision-making unit in seconds.

4. Multi-thread convos
Tell ChatGPT to find the decision-makers at a company for a specific topic, and it auto-identifies them plus writes personalized outreach for each person.

5. Pre-meeting prep in 60 seconds
Ask ChatGPT to research someone you're meeting with and it gives you talking points plus an icebreaker so you walk into every call prepped.

6. Deep account research
If you need company intel.. just ask ChatGPT to research a company's recent activity and get a full breakdown without opening 10 tabs.

7. Improvise between calls
Running between meetings? Ask ChatGPT to find info about someone you just met and get instant context on the go.

—

As an avid Clay user, I’m absolutely buzzing about this update. 

And I just recorded a FULL walkthrough showing exactly how to set this up and use it.

If you're already using Clay this is a no-brainer addition to your stack.

Comment "CLAY" and I'll send you the tutorial!
```

## 8. Sales teams

**68 likes · 48 commentaires · viralité ×1.7**

**Mécanisme :** 👉 COMMENT: ‘ADS’ for the full training.

```
Attention marketing teams and sales teams:

If you're not running these 4 ad types right now…

You're losing qualified leads every single day.

I tested over 1,000 Facebook ads in the last 18 months.

85% of them completely failed.

But four specific ad styles keep winning.

Across different industries. 

Different markets. 
Different budgets.
Over and over again.

I just broke all four down in a new video.

👉 COMMENT: ‘ADS’ for the full training. 

It includes the exact frameworks. 

The psychology behind why they work. 

And how to make them yourself.

Here's a taste of what's inside 👇

Ad Style #1: The Native News Ad

Most ads don't work because they look like ads.

Our brains have a built-in ad blocker.

Anything that feels too salesy gets filtered out before we even process it.

The Native News Ad bypasses that filter completely.

It looks like something people actually WANT to read.

And when you nail the headline formula inside the video…

It pre-qualifies your leads before they even click.

One of our community members used this exact template to pull in $12 leads for their client.

And that's just ad style one.

The video covers all four:

→ The Native News Ad (and the headline formula that pre-qualifies) 

→ The Whiteboard Ad (pattern interrupt that stops the scroll — you can make these 100% with AI) 

→ The Familiar Ad (taps into psychology most marketers have never heard of) 

→ The Instagram Style Ad (works like an undercover agent in the feed)

Plus the exact psychology behind why each one converts.

And how to create them yourself.

I'm not posting the link publicly.

Comment "ADS" below and I'll send it straight to you 🎥

Alisha Conlin-Hurd
👆  My agency specialises in profitably scaling qualified leads from paid ads with funnels, landing pages, and epic video ads. DM me if you want to scale your qualified leads in 2026.
```

## 9. Sales teams

**24 likes · 19 commentaires · viralité ×1.5**

**Mécanisme :** comment AI Skill and i'll send the full 29-pattern md.file

```
built a skill .md file that catches AI writing patterns before you publish anything.

29 structural and formatting tells that trained readers spot immediately. 

not a style guide. a pattern scanner that runs every time i generate content.

admit it most you are are still typing don't use em-dashes into GPT. 

skill files are different. they're persistent instruction docs that load as context automatically. one file, always running, catching patterns before you ever see the output.

some patterns from the file. 👻 

narrator setup lines. 

"here's the thing about..." or "here's where it gets interesting." 

you're guiding the reader to the point instead of making it. delete the line. start with the actual point.

three parallel dramatic sentences. 

"you can't see it. you can't copy-paste it away. you have to know it exists." 

nobody talks like that. one direct statement lands harder.

the bookend summary. 

opening with a thesis, closing with the exact same thesis rephrased 800 words later. 

AI wraps content in neat bows. real thinking goes somewhere new by the end.

colon-listed everything. 

"the result: better data. the impact: faster sales. the lesson: architecture matters." 

reads like a PowerPoint slide, not a sentence.

the humble brag disclaimer. 

"i don't have all the answers, but..." 

share your take or don't. the disclaimer makes it worse.

29 patterns total. each one with the tell, why it flags, and how to fix it.

one flag in isolation is fine. three or more means the content needs a rewrite, not a patch.

this is one skill file out of a full tree i'm building. content quality, Clay table architecture, CRM mapping standards, scoring frameworks, outbound copy.... 

each one is a persistent layer that makes AI output production-ready instead of draft-quality..

built this one for Claude but the logic works in any system prompt, custom GPT, or instruction doc.

comment AI Skill and i'll send the full 29-pattern md.file
```

## 10. Sales teams

**86 likes · 88 commentaires · viralité ×1.4**

**Mécanisme :** DM me for custom implementation.

```
Over the past 20 years, CRMs have evolved into sophisticated systems, but they've always had one critical flaw: they're heavily reliant on human input to stay current. Beyond financial data and user metrics, most CRM insights require manual updates, which means they quickly become outdated.

With the rise of AI-native CRM providers, we're witnessing a fundamental shift. Modern CRMs are evolving into AI-powered platforms that allow flexible integration of AI workflows and automation through APIs and solution providers.

At AIagent4sales.com, we work with customers daily on AI CRM use cases. The most common challenge? There's often insufficient or unstructured data for AI agents to interpret and recommend the next best action.

I have mapped out the Top 10 AI Agents for AI CRM workflows that work 24/7 while your sales team focuses on actually closing deals and building customer relationships.

Your AI CRM Workforce (built on Relevance AI)

1. Chief AI Manager Agent (Supervisor)
↳ Oversees all agents, ensures workflow efficiency, escalates exceptions, dynamically adjusts thresholds, and ensures CRM updates stay synchronized.

2. Lead Scoring Agent
↳ Core numeric scoring of each lead (0–100), integrating behavioral and firmographic data for accurate prioritization.

3. Engagement Monitoring Agent (Under Lead Scoring)
↳ Tracks emails, calls, website clicks; boosts or reduces scores dynamically based on real-time interaction.

4. Intent Analysis Agent (Under Lead Scoring)
↳ NLP-powered detection of buying intent; automatically flags hot leads ready for immediate outreach.

5. Lead Enrichment Agent (Under Lead Scoring)
↳ Pulls firmographics, technographics, and social data to improve scoring accuracy and provide sales context.

6. Conversational Qualification Agent (Under Lead Scoring)
↳ Chat/email agent that qualifies leads through natural conversation and updates score/tier automatically.

7. Lead Tiering Agent
↳ Buckets leads into A/B/C tiers based on scores, ensuring reps focus on high-value opportunities.

8. Prioritization Agent (Under Lead Tiering)
↳ Ranks leads for reps based on score, engagement level, and sales capacity, delivering a prioritized daily work queue.

9. Follow-up Recommendation Agent (Under Lead Tiering)
↳ Suggests actionable next steps (Call, Email, Nurture, Wait) based on lead behavior and readiness.

10. Churn Risk Agent (Under Lead Tiering)
↳ Predicts leads/accounts at risk of going cold; triggers automated re-engagement campaigns before it's too late.

Bonus: ABM Account Scoring Agent
↳ Scores entire accounts (aggregated from individual leads), assigns A/B/C tiers, and informs account-based sales strategy.

Reshare this with your Sales Ops team. DM me for custom implementation.
```

## 11. Sales teams

**28 likes · 16 commentaires · viralité ×1.4**

**Mécanisme :** Drop "FUNNEL" in the comments and I'll send it over.

```
Paid ads agencies that only deliver leads are about to have a rough year.

The agency model for the last decade has been the same. Run ads. Generate leads. Drop them in a CRM. Send a report. Hope the client's sales team does something with them.

But that is about to change in 2026.

They stopped selling traffic and started selling appointments.

Sounds small. It's not. Stick with me here.

When you own the full funnel from click to booked meeting, everything changes. ROI becomes obvious to the client. 

Retainers go up. Performance fees open up. And the "lead quality" conversation... the one that kills agency-client relationships... disappears entirely.

After years of running paid media at scale, I noticed the pattern. The agencies that retained clients the longest weren't the ones with the best ROAS. They were the ones who controlled what happened after the click.

Same ads. Same spend.

But leads get contacted instantly. Objections get handled. Calendars fill themselves. People show up.

That's kind of the whole game now.

The shift from "lead delivery" to "appointment delivery" is the next frontier for agencies. And the ones making it aren't hiring bigger sales teams to follow up manually. 

They're plugging in voice AI to handle inbound, qualify leads, and book meetings... all without adding headcount.

For agencies still competing on cost-per-lead, this is the part that should keep you up at night. Your competitor isn't going to outspend you. They're going to out-convert you with a system that never sleeps.

The agencies that own the full outcome will own the account. Does that make sense?

I put together a playbook on exactly how agencies are making this shift. The tech stack, the offer structure, the economics. 

Drop "FUNNEL" in the comments and I'll send it over.

What's the biggest gap in your current funnel between lead and booked appointment?
```

## 12. Sales teams

**21 likes · 16 commentaires · viralité ×1.1**

**Mécanisme :** Drop "PLAYBOOK" below and I'll send it over.

```
6 battle-tested steps to grow Meta lead quality by 70% - trusted by top-performing agencies.

I've generated over $100M from Meta ads in the last 9 years.
Here's what I've learned:

Most agencies think better results come from better ads.
When in reality, it's better systems.

Here’s the exact playbook agencies use to generate leads that actually convert. 
(You’ll want to save this one & revisit later)

1. Ditch instant forms for Perspective funnels

When someone submits without thinking, you get leads who didn't think.

One client switched. Quality jumped from 40% to 68%. Same spend.

2. Build creative for Andromeda

Meta's algorithm uses your creative to decide who sees your ads now.

3 similar ads? Enjoy your higher CPMs.

You need 8-12 genuinely different concepts. Not headline swaps. Actual variety.

3. Pre-qualify before the click

Mention price. Call out your exact customer.

Scare away the tire-kickers before they waste your sales team's afternoon.

4. Add qualifying questions

Don't just collect name and email like it's 2016.

Ask about budget. Timeline. Current results.

Your sales team walks in with context, not a prayer.

5. Respond instantly

This is where everyone blows it.

5 minutes = 21x higher qualification.
1 hour = you've already lost half.

Most teams aren't fast. They're "fast when someone's available and not in a meeting and remembered to check the CRM."

This is why agencies use Wave Runner, AI that calls in seconds, qualifies, and books to calendar. No human bottleneck.

6. Close the feedback loop

Send conversion data back to Meta via CAPI.

After 30 days, your campaigns self-optimize for buyers - not people who just liked your ad.

This is how it works together 👇🏼

Andromeda finds buyers → Ad pre-qualifies → Funnel qualifies deeper → Wave Runner responds instantly → Data flows back to Meta → Meta finds more buyers.

Each piece compounds.

I broke down the entire system in a free guide - funnels, creative, automation, all of it.

Drop "PLAYBOOK" below and I'll send it over.
```

## 13. Sales teams

**45 likes · 30 commentaires · viralité ×0.9**

**Mécanisme :** DM me "outbound" and you'll get the breakdown today

```
Snowflake added $900M in ARR in 2024. 

60% of that came from SDRs.

Here’s what their outbound team is doing differently, and how you can apply it, even if you’re not a $4B company.
 
Most companies are doing outbound backwards.

They blast cold lists and wonder why conversion rates suck.

They chase leads instead of accounts. 

They run sales, SDR, and marketing as separate teams fighting over the same accounts. 

Snowflake figured out something different.

1. SDRs Mostly Work Warm Accounts

No cold lists.
They wait until an account engages with ads, the website, or content before doing outreach.

Result?
✅ 36% meeting rate on ABM accounts (vs 10% on non-ABM).

You can do this too:
- Run ads or webinars to warm accounts
- Track website visits
- Trigger outreach after clear intent

2. Real-Time Scoring Every 2 Hours

Data from Outreach updates every 2 hours.
Leads are re-scored and reprioritized automatically.

No more chasing stale leads.
Their CRM is alive.

You can do this too:
- Refresh firmographic + intent data weekly (ZoomInfo, Clay)
- Auto-score accounts based on real engagement
- Focus reps only on the hot stuff

3. One GTM Team. One Funnel.

Sales, SDR, and Marketing operate as ONE unit.
No MQL drama. No silos.
No lead funnel.
Just 1 account funnel.  

They share one playbook:
→ Collaboration → Activation → Optimization

You can do this too:
- Agree on ONE list of accounts
- Align on roles (warm, contact, close)
- Run weekly GTM standups

4. Action Boards Over Dashboards

Reps don’t scroll dashboards.
They log in and see:
“Call these 5 accounts. Here’s why. Here’s what to say.”

You can do this too:
- Build boards with: recent activity + account name + message suggestions
- Make it stupid simple. No digging. Just action.

5. Generative AI = Faster Ramp, More Meetings

300 SDRs. 200 new hires per year.
They use GenAI to write better messages, fast.
AI-assisted reps are doubling meeting rates.

You can do this too:
- Use ChatGPT or Perplexity to research and write
- Plug it into onboarding to help reps ramp faster

⸻

Curious how Snowflake scaled outbound to $4B ARR?

I wrote a detailed breakdown of exactly how they did it.

Want the full playbook? 

- Like this post
- Comment "outbound," 
- If we're not connected yet, hit the connect button so I can DM you.

Need it faster? DM me "outbound" and you'll get the breakdown today, plus 4 other company breakdowns as a bonus.

And yes, I always send it, even if it takes me hours.
```

## 14. Sales teams

**39 likes · 60 commentaires · viralité ×0.7**

**Mécanisme :** comment “GEMINI 3” below and I’ll DM it.

```
BREAKING: Gemini 3 just dropped.

And it's about to change outbound FOREVER.

Google just released Gemini 3 - and most people still think it’s “just another LLM”.

Big mistake.

While everyone is playing with prompts…

I used Gemini 3 to build an intent-based outbound system that finds people ready to buy right now.

I spent the last days testing it for my LinkedIn outreach.

Result?

→ 2–3x higher reply rates
→ 8 meetings booked
→ Zero “spray & pray”

Here’s what this setup does:

→ Detects buying intent signals (competitor interest, job changes, activity, keywords)
 → Scores leads automatically (who to contact now, who to ignore)
 → Builds a daily “contact-first” list
 → Generates contextual outreach messages in seconds
 → Runs on autopilot

This is not cold outreach.

It’s timing-based outbound.

Most sales teams still reach out based on ICP only.

This lets you reach out based on intent + timing.

I packaged the full system into a copy-paste blueprint:
> signals
> logic
> prompts
> workflows

No scraping headaches.
No massive volumes.
No manual lead research.

If you want the Gemini 3 High-Intent Outreach Blueprint,

comment “GEMINI 3” below and I’ll DM it.

(make sure we’re connected)
```

## 15. Sales teams

**12 likes · 6 commentaires · viralité ×0.6**

**Mécanisme :** Comment "AGENTS" and I'll send you the full deployment guide.

```
Top 6 AI agents to deploy today on Claude Cowork for GTM:


1 - Account Pre-Call Brief → full account context before every meeting. In seconds.

2 - Open Deal Next Best Step → scans every open deal and tells your rep exactly what to do next.

3 - Closed-Lost Resurrector → finds the deals worth reopening. Drafts the re-engagement email.

4 - Buying Committee Enforcer → spots the missing decision-makers before the deal slips.

5 - CS Playbook Orchestrator → automates 30/60/90 day onboarding. No client falls through.

6 - Weekly Rep Coaching Report → data-backed coaching per rep. No calls to listen to.

No prompts to write. No setup required. Click run. Approve the output.

That's how you scale revenue without scaling headcount.

Comment "AGENTS" and I'll send you the full deployment guide.
I'll send you the complete playbook in DM.

PS : Repost gets priority 🔥
```

## 16. Sales teams

**47 likes · 126 commentaires · viralité ×0.5**

**Mécanisme :** Commentez « SCHEDULE » et je vous l’envoie.

```
La prospection telle que vous la connaissez est morte.

Claude SCHEDULE vient de le prouver.
Agences. Équipes commerciales. Prospection manuelle.

Tout est en train d’être remplacé.

J’ai testé tous les modèles d’intelligence artificielle pour la prospection sur LinkedIn. Gemini 3, GPT-5.2, Llama.

Toujours les mêmes problèmes :
Messages génériques. Mauvais timing. Peu de réponses.

Puis Claude SCHEDULE est arrivé.
Et là, tout a changé.

J’ai donc construit un système autour de ça :

Un prompt optimisé pour écrire des messages qui obtiennent des réponses
+
Un moteur de signaux pour contacter les prospects au moment exact où ils sont prêts à acheter

Résultat :
• Des messages qui semblent écrits pour une seule personne
• Un timing basé sur de vrais signaux d’intention
• Des conversations qui se transforment en rendez-vous
• Une prospection entièrement automatisée

Plus de listes à construire.
Plus de messages à écrire.
Plus de relances à gérer.
Juste des résultats.

Ce système :
→ trouve automatiquement des prospects à fort potentiel
→ écrit des messages ultra pertinents dans votre ton
→ contacte au bon moment
→ génère 2 à 5 fois plus de réponses
→ vous fait gagner plusieurs heures chaque jour

Je partage le prompt exact + le système complet.
Si vous faites encore de la prospection à l’ancienne, vous êtes déjà en retard.
Commentez « SCHEDULE » et je vous l’envoie.

(On doit être connectés pour que je puisse vous répondre)
```

## 17. Sales teams

**21 likes · 6 commentaires · viralité ×0.3**

**Mécanisme :** réserve un appel en haut de mon profil.

```
L’un de nos commerciaux vient de décrocher 5 rendez-vous qualifiés en 1h. Ce n’est pas de la chance, juste le résultat du système qu’on a mis en place :

→ 𝗦𝗲́𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗿𝗶𝗴𝗼𝘂𝗿𝗲𝘂𝘀𝗲 𝗱𝗲𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

Un SDR, ce n’est pas un magicien. Si le client a une offre bancale, il ne fera pas des miracles. On fait donc remplir à chaque client un dossier qu’on audite avant de décider si on travaille ensemble.

On ne veut envoyer nos SDRs que sur des offres banger, sur lesquelles ils pourront générer beaucoup de commissions.

→ 𝗗𝗲𝘀 𝗹𝗶𝘀𝘁𝗲𝘀 𝗱𝗲 𝗽𝗿𝗼𝘀𝗽𝗲𝗰𝘁𝗶𝗼𝗻 𝘂𝗹𝘁𝗿𝗮 𝗾𝘂𝗮𝗹𝗶𝗳𝗶𝗲́𝗲𝘀

Idem, un SDR ne peut rien produire avec des listes de prospects génériques et mal renseignées.

Chez Formula, nos growth engineers exploitent la data pour filtrer tout ton marché, à la recherche du 1% correspondant à ton ICP exact.
Puis ils effectuent un gros travail de recherche pour récolter des données additionnelles sur chaque lead.

Grâce à eux, nos commerciaux appellent directement les personnes avec l’approche la plus personnalisée et pertinente possible.

→ 𝗨𝗻 𝗼𝘂𝘁𝗶𝗹 𝗺𝗲́𝘁𝗶𝗲𝗿 𝗱𝗲́𝗱𝗶𝗲́ 𝗮̀ 𝗻𝗼𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗲𝘁 𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗶𝗮𝘂𝘅

Conçu en interne pour suivre l’intégralité des rendez-vous pris avec transparence pour tous. Intégration de tous les outils métier : Aircall, CRM, Calendly, Enrichissement etc…

On l’a créé pour libérer nos commerciaux de toutes les tâches superflues.
Chez nous, les commerciaux consacrent tout leur temps à leur coeur de métier : Décrocher des rendez-vous.


Le rôle d’un commercial n’est pas de passer ses journées :
- À scroller Linkedin pour trouver ses prospects
- Ni passer son temps à remplir un CRM
- Et encore moins à appeler les mauvaises personnes…

Son métier, c’est la relation humaine.

Tu dois tout faire pour valoriser son expertise.
En lui donnant le temps de s’y consacrer.

C’est ainsi que tu lui offres le meilleur cadre possible pour performer.
Et que tu peux obtenir des résultats que tu pensais impossibles avant.


PS : Si tu veux une équipe commerciale externalisée payée au résultat, réserve un appel en haut de mon profil.
```

## 18. Sales teams

**17 likes · 12 commentaires · viralité ×0.2**

**Mécanisme :** Comment "AUTOMATE" and I'll send them to you.

```
SDRs are losing 2.5-3 hours every single day to manual CRM work. Here's the fix.

Most sales teams overcomplicate HubSpot automation.

We built 4 n8n workflows that eliminate the busywork entirely.

Now we're giving you the exact blueprints behind them -

Comment "AUTOMATE" and I'll send them to you.

Here's what most sales teams are doing wrong:

→ Manually writing call notes after every conversation (15-20 min per call)
→ Forgetting to log follow-up tasks and letting deals slip through the cracks
→ Replying to prospect emails without CRM context, sending generic responses
→ Pitching with outdated company data because nobody refreshes it

We built a smarter way:

→ Workflow 1: Chorus.ai call summaries sync to HubSpot automatically within minutes of call completion - zero manual logging
→ Workflow 2: AI analyzes call transcripts, extracts action items, creates tasks in HubSpot, assigns to reps, and sets due dates
→ Workflow 3: Incoming prospect emails trigger AI to pull full CRM context and draft personalized replies for human approval via Slack
→ Workflow 4: Weekly automated enrichment refreshes company data (headcount, funding, tech stack) for every open deal

It's called the 4 N8N Workflows for HubSpot Automation and it's already helping sales teams:

→ Recover 2.5-3 hours of selling time per rep per day
→ Ensure every promised follow-up becomes a tracked, assigned task
→ Reply to prospects with full deal context instead of generic decks
→ Always pitch with current company information, not stale CRM records

You don't need more manual processes. You need workflows that run themselves.

Comment "AUTOMATE" and I'll send the full guide to your DMs.
```

## 19. Sales teams

**16 likes · 30 commentaires · viralité ×0.2**

**Mécanisme :** Commente “Masterclass” si tu veux apprendre à vendre ces systèmes

```
J’ai créé un Agent IA de prospection LinkedIn avec n8n qui génère des leads qualifiés +200 leads/jours

→ les enrichit
→ rédige un cold email personnalisé
→ l’envoie automatiquement.

(et honnêtement… quand tu vois ce qu’elle fait, c’est indécent)

Dans toutes les agences et équipes sales, le problème est le même :
chercher des leads, trouver leurs emails, rédiger des messages…
Un process long, manuel, répétitif.

👉 Et le plus fou ? Cette machine tourne pendant que tu dors.

On l’appelle : Agent IA Leads.

Ce qu’elle fait :
À partir d’un simple formulaire, elle trouve les bons prospects, extrait les bons emails, rédige le bon message, et l’envoie.

Sans jamais ouvrir LinkedIn.
Sans scraping manuel.
Sans perte de temps.

Voici comment ça marche concrètement :

1️⃣ Form Trigger
Quelqu’un remplit le formulaire “Lead Machine” (type de business, localisation, nombre de leads, style d’email).

2️⃣ Scraping Apify
n8n récupère automatiquement :
– nom d’entreprise
– site web
– téléphone
– adresse
– catégorie
Basé sur ton secteur + ta zone géographique.

3️⃣ Extraction Email (Gemini)
L’IA scanne le site → extrait l’email professionnel le plus fiable.

4️⃣ Stockage dans Google Sheets
Uniquement les leads valides.

5️⃣ Cold Email AI (OpenAI)
Génération du sujet + message personnalisé, selon ton ton :
Friendly / Pro / Simple.

6️⃣ Envoi automatique via Gmail
Puis mise à jour du statut + timestamp.

Stack technique :
n8n + Apify + Google Gemini + Google Sheets + OpenAI + Gmail

Pour qui ?
– agences marketing
– équipes sales
– freelances qui veulent arrêter de prospecter à la main
– entreprises qui veulent un flux constant de leads

Résultat business :
– prospection quotidienne 100 % automatisée
– emails ultra-personnalisés
– plus de leads, sans charge mentale

🎁 Je te le donne gratuitement.
Tout est plug-and-play, prêt à importer dans n8n.

👉 Pour recevoir le template 
1️⃣ Abonne-toi (sinon je peux pas te DM 🔒)
2️⃣ Commente “n8n” si tu veux l' Agents IA Leads
3️⃣ Je t’envoie tout en DM

Si les agents IA t’intéressent, j’organise une masterclass 100% gratuite
🗓️ Masterclass AGENT IA 2.0 — Jeudi 26 Février à 20h (FR)
Tu vas apprendre à :
⚙️ Construire un agent IA sur n8n de A à Z
📦 Le packager comme une solution SaaS
💰 Le revendre aux entreprises (scripts + offres inclus)

Les 100 premiers ont accès prioritaire.
3️⃣ Commente “Masterclass” si tu veux apprendre à vendre ces systèmes
4️⃣ Je t’envoie tout en DM
```

## 20. Sales teams

**1 likes · 2 commentaires · viralité ×0.1**

**Mécanisme :** 👉 COMMENT: ‘ADS’ for the full training.

```
Attention marketing teams and sales teams:

If you're not running these 4 ad types right now…

You're losing qualified leads every single day.

I tested over 1,000 Facebook ads in the last 18 months.

85% of them completely failed.

But four specific ad styles keep winning.

Across different industries. 

Different markets. 
Different budgets.
Over and over again.

I just broke all four down in a new video.

👉 COMMENT: ‘ADS’ for the full training. 

It includes the exact frameworks. 

The psychology behind why they work. 

And how to make them yourself.

Here's a taste of what's inside 👇

Ad Style #1: The Native News Ad

Most ads don't work because they look like ads.

Our brains have a built-in ad blocker.

Anything that feels too salesy gets filtered out before we even process it.

The Native News Ad bypasses that filter completely.

It looks like something people actually WANT to read.

And when you nail the headline formula inside the video…

It pre-qualifies your leads before they even click.

One of our community members used this exact template to pull in $12 leads for their client.

And that's just ad style one.

The video covers all four:

→ The Native News Ad (and the headline formula that pre-qualifies) 

→ The Whiteboard Ad (pattern interrupt that stops the scroll — you can make these 100% with AI) 

→ The Familiar Ad (taps into psychology most marketers have never heard of) 

→ The Instagram Style Ad (works like an undercover agent in the feed)

Plus the exact psychology behind why each one converts.

And how to create them yourself.

I'm not posting the link publicly.

Comment "ADS" below and I'll send it straight to you 🎥

Alisha Conlin-Hurd
👆  My agency specialises in profitably scaling qualified leads from paid ads with funnels, landing pages, and epic video ads. DM me if you want to scale your qualified leads in 2026.
```

## 21. Sales teams

**71 likes · 61 commentaires**

**Mécanisme :** Commente « Guide »

```
Utiliser Apollo c'est bien, l'avoir directement dans Claude c'est mieux 

Apollo vient de lancer son serveur MCP et voila ce que ça change pour les sales et GTM engineers

Concrètement ça permet de :

- sourcer des comptes directement depuis Claude
- enrichir les contacts sans changer d'outil
- cartographier les décideurs 
- gérer ses séquences sans ouvrir Apollo

Le tout depuis une seule interface, utilisable et partageable avec toute l'équipe

Les meilleurs GTM engineers font déjà leur journée entière depuis Claude

Bientôt ce sera la norme : se connecter à un seul outil au lieu de 5+

J'ai compilé un guide complet Apollo x Claude Code

Il couvre :
- les 5 skills Claude Code pour le GTM engineering
- tous les outils MCP Apollo disponibles aujourd'hui
- des exemples de prompts pour chaque workflow
- ce qui est gratuit vs. ce qui consomme des crédits

Pour l'obtenir :
- Like
- Commente « Guide »
- Assure-toi de me suivre
```

## 22. Sales teams

**9 likes · 23 commentaires**

**Mécanisme :** 2. Comment “CLAUDE” I’ll send it over.

```
CLAUDE just automated 100% of my LinkedIn outreach.

0 manual messages. 0 generic DMs. 0 hours wasted.

Most people think AI outreach = spam.

They’re right !

Bad AI doesn’t just hurt results it kills your reputation.

The problem isn’t AI.

The problem is how people use it.

For 6 months, I tested AI outreach systems with B2B founders and sales teams.

Tools that promised “personalization at scale.”

What they actually delivered:
• Template spam
• Fake variables
• Manual replies when prospects pushed back

That’s not automation.

That’s busywork.

The breakthrough came when we stopped automating messages

and started automating conversations.

Here’s what changed everything:

Claude doesn’t send sequences.

Claude runs end-to-end conversations.

What it does now…
→ Researches each prospect individually
→ Understands company context and LinkedIn behavior
→ Writes truly personalized first messages
→ Responds to replies based on conversation history
→ Handles objections intelligently
→ Qualifies prospects before booking
→ Books meetings only when there’s real intent

No scripts. No pitch slaps. No human babysitting.

This system runs 24/7.

It enriches data.

Crafts personalized messages.

And manages full conversations on autopilot.

we booked 120+ qualified meetings last month using this setup.

Not because of volume.

Because every message felt relevant, timely, and human.

The ROI is insane when the setup is right.

I documented the entire system in a practical guide:
→ How Claude is trained to sound human
→ The conversation framework that gets replies
→ How chats turn into meetings without pitching
→ The autopilot system that runs daily outreach

I’m sharing the full implementation.

Want access?

1. Connect with me
2. Comment “CLAUDE”

I’ll send it over.
```

---

*Source canonique : https://linkmagnet.gg/es/lead-magnets/sales-teams*
*LinkMagnet — livre tes lead magnets LinkedIn automatiquement : https://linkmagnet.gg*