Exemples de lead magnets LinkedIn en sales technology

AI Sales Mastery Playbook (2026 Edition) Every framework a modern sales pro needs in one cheatsheet: Save this post and bookmark it before it disappears from your feed Here’s what you’ll find inside → -Objection Handling Library -Negotiation & Closing Scripts -Prospecting Intelligence System -ROI Storytelling & Proposal Builder -Cold Email + Cold Calling Playbooks -Discovery & Qualification Framework -Research & ICP Definition Framework -Personalization & Messaging Strategy -Multi-Threading & Deal Review Systems -AI Tools, Automation & Performance Stack Plus 10+ more frameworks to help you sell sharper, close faster, and scale consistently in 2026 If you want to get the full high-resolution cheatsheet in PDF format, let me know below and I’ll share it with you If you’re looking to train your team to perform like elite sellers and consistently hit quota, DM me “2026” and let’s talk. (2 last spots to work with me until the end of the quarter)

J’ai construit une équipe de commerciaux composée de 3 agents IA avec Claude Opus 4.7 (et je donne les 3 gratuitement 👇) ➤Un agent de recherche ➤Un agent de qualification ➤ Un agent de closing La plupart des équipes B2B font encore leur prospection comme en 2019. Un commercial qui fait ses recherches à la main, qui qualifie au feeling, et qui improvise chaque appel. Pendant ce temps, leurs concurrents utilisent des agents IA qui font la recherche en 60 secondes, scorent chaque lead automatiquement, et préparent chaque rendez-vous avant même qu’il commence. Du coup, j’ai construit 3 agents spécialisés dans Claude qui couvrent tout le travail d’une équipe commerciale. Tu leur donnes ton produit, ton ICP et ton pipeline. Ils s’occupent du reste. Voici ce qu’il y a dedans : → Agent de recherche : analyse n’importe quel prospect en 60 secondes. Infos sur la boîte, pain points, concurrents, et angle d’approche précis → Agent de qualification : score les leads selon le fit et l’intention, construit ta base d’objections, et te dit exactement sur quoi te concentrer → Agent de closing : prépare chaque call en 3 minutes, rédige les propositions, crée les follow-ups, et s’assure qu’aucun deal ne passe à côté → Comment connecter les 3 avec GojiberryAI pour créer un système d’acquisition complet Tu veux les 3 agents ? 1. Like le Post 2. Commente "AGENTS" et je t'envoie tout ! 3. Il faut qu'on soit connecté pour que je puisse l'envoyer PS : les reposts sont priorisés 🚀

BREAKING: GOODBYE manual LinkedIn outbound forever. Opus 4.6 just made it obsolete. Claude Opus 4.6 just compressed 6 months of hiring SDRs, training them, and watching them burn out into a single automated outbound engine. Here are 12 outbound workflows Claude Opus 4.6 now handles without a single SDR: → Clone your tone of voice so every message sounds like you wrote it personally → Scrape high-intent leads from competitor posts and import them into your pipeline automatically → Send connection requests to qualified decision makers without you touching a single profile → Trigger follow-up sequences based on conversation state not time elapsed → Detect when a lead is warm enough and send the calendar link without you deciding → Nurture 50+ conversations simultaneously without dropping a single thread → Score every lead by intent level so you always know who to prioritize → Pull leads from Sales Navigator, CSV, post engagers, and profile viewers in one place → Run approval flows so you stay in control without doing the manual work → Personalize every message at scale without it ever feeling like a template → Track connection rate, reply rate, and calls booked across every campaign in real time → Scale from one LinkedIn account to an entire sales team without rebuilding from scratch I'm talking about outbound work that takes $80K–$120K in SDR headcount to staff, months to ramp, and still misses the follow-ups Claude catches automatically. We've booked 1,940+ calls for clients via LinkedIn. Now you can run the same outbound engine in your business starting this week. Want the full Claude Outbound Playbook? Comment "CALLS" below and Connect with me so I can DM you P.S. ♻️ Repost for priority access.

Breaking🚨: I just shipped an AI SDR that replaces our entire outbound team. Here’s what 13,179 lines of n8n automation actually looks like Most AI SDRs only send emails. - They can’t call your leads. - They can’t reply to objections. - They can’t book meetings. And don’t even get me started on traditional SDRs - slow, expensive, inconsistent. We built an Omnichannel AI SDR that does it all — Calls leads, emails them, replies back, and handles objection, for you. Want it? 🟣 Comment "SDR" + Like the post. 🟣 Connect with me 🟣 I will send it over The full pipeline: → Webhook captures every inbound form submission → Reoon verifies emails in real-time with fallback handling → Apify scrapes company websites, LinkedIn profiles & posts → AI reads every touchpoint — website copy, posts, team pages → 4 fully-personalized follow-ups go out over next 7 days. → Gmail API handles delivery & thread-aware replies → AI calls leads first — if no answer, a follow-up sequence auto-triggers The technical backbone: • Email validation + Slack alert if bounce risk. • Website scraper to find more info. • Apify scrapes LinkedIn, and their posts for deep research. • Content crawler pulls recent wins, blog copy, tone of voice. • Multi-agent AI analyzes all data to write original messages • Branching flows adapt if lead replies, bounces, or no-shows • Every email thread adapts based on context & response What blew my mind: The AI doesn’t just write one email and hope. It reads the lead’s last LinkedIn post. It knows their website tone, Instagram content, and product updates. It references that in-line - mid-sentence — like a real human rep would. Then... it calls them. If they pick up — it books a meeting. If not — a hyper-personalized 4 email sequence fires automatically. But here’s where it gets wild: If the lead replies, → The AI reads the thread → Handles objections → Sends natural, human-like follow-ups → And books the meeting for you — with zero manual effort No templates. No manual intervention. No bottlenecks. This is what the next-gen AI SDR really looks like. Want it? 🟣 Comment "SDR" + Like the post. 🟣 Connect with me 🟣 I will send it over 🚨 Repost this for priority access.

Transforme Claude en un SDR à 4 000€ /mois qui ne dort jamais. 12 compétences d’outbound. Un système complet de pipeline opérationnel en moins de 2 heures. La plupart des gens utilisent Claude pour écrire des emails ou résumer des documents. C’est comme utiliser une Lamborghini pour livrer des pizzas. Claude peut gérer tout ton pipeline outbound : détection de signaux, recherche de prospects, prospection, relances, gestion du pipeline. Mais seulement si tu le configures comme un système, pas comme un simple chatbot. L’outil que j’ai mis en place suit un système de 12 compétences, réparties en 3 catégories : → Suivi des signaux d’achat → Alertes d’engagement chez les concurrents → Suivi des changements de poste → Notifications de levées de fonds → Analyse de correspondance avec l’ICP → Analyse approfondie d’entreprise → Cartographie de la stack technique → Identification des décideurs → Rédaction de messages personnalisés → Génération de séquences de relance → Analyse des réponses → Résumé des conversations Chaque compétence est un prompt, que tu n’as pas à appliquer toi même. En revanche les gars qui ont créé le système t’expliquent tout dans un document. Tu peux tout mettre en place sans API. Mais avec un outil bien précis. Et oui, c’est bien celui dont tout le monde parle. Un système outbound complet en moins de 2 heures. Tu peux le tester gratuitement. Commente « SDR » ci-dessous ♻️ Reposte pour un accès prioritaire.

J’ai construit une équipe de commerciaux composée de 3 agents IA avec Claude Opus 4.7 PARTIE 2 Je fais suite à un précédent post (et je donne les 3 gratuitement 👇) ➤Un agent de recherche ➤Un agent de qualification ➤ Un agent de closing La plupart des équipes B2B font encore leur prospection comme en 2019. Un commercial qui fait ses recherches à la main, qui qualifie au feeling, et qui improvise chaque appel. Pendant ce temps, leurs concurrents utilisent des agents IA qui font la recherche en 60 secondes, scorent chaque lead automatiquement, et préparent chaque rendez-vous avant même qu’il commence. Du coup, j’ai construit avec l’outil dont je parlais dans un post précédent, 3 agents spécialisés dans Claude qui couvrent tout le travail d’une équipe commerciale. Bien sûr que j’ai pas fait ça tout seul... Tu leur donnes ton produit, ton ICP et ton pipeline. Ils s’occupent du reste. Voici ce qu’il y a dedans : → Agent de recherche : analyse n’importe quel prospect en 60 secondes. Infos sur la boîte, pain points, concurrents, et angle d’approche précis → Agent de qualification : score les leads selon le fit et l’intention, construit ta base d’objections, et te dit exactement sur quoi te concentrer → Agent de closing : prépare chaque call en 3 minutes, rédige les propositions, crée les follow-ups, et s’assure qu’aucun deal ne passe à côté → Comment connecter les 3 avec GojiberryAI pour créer un système d’acquisition complet Tu veux les 3 agents ? Commente "AGENTS" et je t'envoie tout ! 👇 (Il faut qu'on soit connecté pour que je puisse l'envoyer)

ARRÊTE de scroller. Claude Opus 4.6 vient de sortir. Et il a officiellement enterré Clawdbot. Depuis 6 mois, LinkedIn est inondé de bots IA personnalisés qui promettent une « prospection 100 % automatisée ». Il y a un secret gênant dont personne ne parle… Pour les faire fonctionner, il faut : Node.js Un accès au terminal Des scripts personnalisés Et une heure de debug à chaque fois que ça casse Ça, ce n’est pas de l’effet de levier. C’est jouer à l’ingénieur. Les vrais opérateurs ne jouent pas à l’ingénieur. Ils veulent des rendez-vous bookés. On a donc testé Claude Opus 4.6 en natif pour la prospection LinkedIn. Pas de wrapper. Pas d’automatisations fragiles. Pas d’infrastructure bricolée. Et il ne s’est pas contenté d’égaler les anciens setups. Il les a remplacés. Ce qui change avec Opus 4.6 : Temps d’installation : quelques minutes, pas des heures Profondeur de contexte : prospect + historique complet des conversations Raisonnement natif : il gère des conversations, pas juste des messages Aucun code. Aucun outil intermédiaire. Aucune maintenance Tu n’as plus besoin de construire un bot. Tu as besoin d’un système qui comprend : à qui écrire pourquoi maintenant et quand s’arrêter C’est là qu’Opus 4.6 excelle. Il recherche les prospects, rédige des accroches pertinentes, gère les réponses intelligemment, qualifie l’intérêt et ne fait remonter que les conversations qui valent vraiment ton temps. Pas du volume. Pas du spam. De vraies conversations. On l’a déployé sur notre outbound LinkedIn actif. La qualité des réponses a égalé, et souvent dépassé, nos meilleures campagnes manuelles. Sans fatigue. Sans copier-coller. J’ai donc documenté tout le workflow opérateur. Le Guide de l’Opérateur : Claude Opus 4.6 pour la prospection LinkedIn. Un blueprint non technique pour faire de l’outbound sans écrire une ligne de code. À l’intérieur, je détaille des workflows concrets, prêts à copier-coller : Comment entraîner Opus sur ton ICP et ton offre Comment il décide qui mérite un message Comment garder des conversations naturelles (pas robotiques) Comment rester dans les limites LinkedIn en toute sécurité Quand un humain doit intervenir — et quand il ne doit pas Arrête de bricoler des scripts. Commence à réserver des conversations. Tu veux le guide ? Like ce post. Commente « OPUS » en dessous. Je te l’envoie.

I built a lead gen system that runs while I sleep. (My competitors think I have a 10-person SDR team) Most B2B companies are stuck doing manual prospecting like it's 2019. Meanwhile, the top 1% are using AI tools that: → Research prospects automatically → Personalize outreach at scale → Book qualified meetings on autopilot The gap isn't about working harder. It's about knowing which tools actually work. I tested 40+ AI systems over 6 months with companies doing $2M-$50M in revenue. Most were garbage. But 7 of them? Absolute game-changers. I just packaged everything into "The AI-Powered Client Acquisition Stack" – the exact tools creating nonstop pipelines without cold calling. Inside you'll find: → The 7 AI tools elite agencies actually use (not the overhyped ones) → How to stack them for maximum efficiency → Real implementation workflows → What to stop wasting time on immediately → Results: 340% higher reply rates, 12+ hours saved weekly This is the tech stack your competitors don't want you to find. Want the complete breakdown? 1. Connect with me 2. Comment "STACK" I'll send it straight to your DMs.

I've booked ~79 calls alone in Jan 2026, already. And if you follow this 4-layered GTM stack, you will absolutely smash the rest of 2026. 1. Don’t just target "VPs of Sales at SaaS companies." Focus on people promoted in the last 60 days at companies that just raised funding and are hiring 3+ SDRs. Generic targeting > Signal-based targeting I use Claygent to scrape case studies → track job changes → monitor funding → score intent with AI → output 500 people who need you NOW. 2. Stop the "Hi [First Name], saw you work at [Company]" BS AI Variables in SalesRobot references each prospect’s profile to come up with a unique personalized message for each. Every message reads like 10 minutes of research. Because AI actually did it. At scale. 3. Running LinkedIn and email like they're different planets? SalesRobot × Clay × Smartlead = omni-channel orchestration through webhooks. This is where our API changed everything. Before: Manual exports from Clay → upload to LinkedIn tool → upload to email tool → pray they sync. Now: Clay enriches → SalesRobot API receives data → triggers campaigns, all from one webhook. 4. DON’T waste 4hrs/ day typing replies AI appointment setter (SalesRobot) handles it. → Prospect replies at 2am? AI responds in 2 minutes. → They ask about pricing? AI pulls the answer from your knowledge base. → They say "not interested"? AI triggers a 90-day nurture sequence. Humans close deals and AI handles the objections. These aren't just "growth hacks." They're the only 4 layers that consistently print meetings while competitors burn out guessing. Stop optimizing tactics and start optimizing infra. I've put everything in a playbook: ✅ Full tool stack breakdown (Clay, SalesRobot, Smartlead, webhooks) ✅ 8 campaign hypothesis templates ✅ AI prompts I actually use ✅ Real examples with screenshots ✅ API implementation guide Want the complete 4-Layer GTM Stack? Comment "GTM" — make sure we're connected and I'll send it over. PS: Repost for priority access 📌

Clawdbot is an open-source AI employee Here’s what it does ↓Runs nonstop on a Mac Mini or in a spare laptop You text it. It runs your LinkedIn outreach. What mine handles for LinkedIn: → Daily prospect research Finds ICP-fit profiles by role, industry, and intent → Personalized openers Writes relevant first lines from real profile context → Safe connection requests Human-like pacing enforced via our Ai (no bans) → Follow-up sequences Multi-step messages that adapt to replies → Reply handling & qualification Understands intent and flags sales-ready leads → Objection handling “Not now”, “send info”, “later” handled naturally → Conversation summaries Logs key context so nothing gets lost → CRM-ready handoff Qualified leads delivered cleanly to your pipeline Before: I researched prospects, wrote DMs, followed up manually Now: I text my AI what I need. It runs outreach in the background. Prospect research: 1 hour → automated Follow-ups: daily manual work → fully handled Outreach: stressful → boring (in a good way) 30-minute setup and runs in the background ever since. Comment “BOT” and I’ll send you the setup guide.

This AI Agent replaces your $200K/year Sales Team ‼️ (And it never forgets a follow-up or burns a pipeline.) Most AI SDRs only send emails. → can’t call your leads. → can’t reply to objections. → can’t book meetings. And don’t even get me started on traditional SDRs - slow, expensive, inconsistent. We built an Omni AI SDR that does it all — Calls leads, emails them, replies back, and handles objection, for you. Want it? 🟣 Comment "Agent" + Like the post. 🟣 Connect with me 🟣 I will send it over How it works? → Lead fills a form — gets captured in real-time. → Bad emails? Filtered out instantly with Reoon. → Apify researches their site, LinkedIn profile, and recent posts. → Then AI Calls them twice. If no answer? → 3 fully-personalized follow-ups go out over next 7 days. → Handles objections, follows up, does back & forth. What blew my mind: The AI doesn’t just write one email and hope. It reads the lead’s last LinkedIn post. It knows their website tone, Linkedin content, and product updates. Then... it calls them. If they pick up — it books a meeting. If not — a hyper-personalized 4 email sequence fires automatically. But here’s where it gets wild: If the lead replies, → The AI reads the thread → Handles objections → Sends natural, human-like follow-ups → And books the meeting for you — with zero manual effort How can it does back & forth or handle objections? → It has more context about your company than your human SDR. No templates. No manual intervention. No bottlenecks. This is what the next-gen AI SDR really looks like. Want it? 🟣 Comment "Agent" + Like the post. 🟣 Connect with me 🟣 I will send it over 🚨 P.S. I might not be able to get back to all the comments, so if you want priority access: Click Repost 🔄

Les CRM classiques, c’était en 2015. 🚀 L’ère de la Sales Performance a commencé (et va exploser en 2026) Si tu passes encore 2h à gérer tes messages manuellement, ou à faire du copy/paste dans un vieux tableau de bord… 👉Tu rates l’essentiel. Voici ce que les top performers utilisent aujourd’hui : ->Messagerie intelligente multicanal (LinkedIn, Gmail, WhatsApp…) ->Analyse conversationnelle en temps réel ->IA qui te dit qui relancer, quand, avec quel message ->Messages générés ou co-créés en 1 clic ->Relances programmées automatiquement ->Pipeline qui se met à jour tout seul (zéro saisie manuelle) ->Lead sourcing par simple prompt (en langage naturel) ->Configuration IA personnalisée qui s’adapte à ton business ->Notifications IA “à ne pas rater ce lead” ->Centralisation totale des échanges ->IA qui comprend ton offre, ton client, ta stratégie 🎯 Ce n’est pas du gadget. C’est du contenu conçu pour closer. C’est une expérience de vente augmentée. J’ai tout packagé dans un outil : CopilotCRM.ai Et pour les curieux, je vous ai préparé une démo gratuite, avec : Accès 14 jours offerts Fonctionnalités expliquées pas à pas 👇 Commentez “TEST” et je vous l’envoie. (On doit être connectés.)

2,7 M€ de pipeline générés avec Claude en 90 jours. Pour mes clients et pour moi. Le playbook GTM a plus évolué en 3 mois qu'en 3 ans. Et a drastiquement changé mon Q1 2026. Pas avec des prompts ChatGPT. Pas en empilant 6 outils à 400€/mois. Avec un système qui comprend chaque prospect mieux que toi. Le vrai changement ? Claude ne remplit pas des variables. Il comprend du contexte. Il lit les posts du prospect. Son stade de croissance. Les signaux faibles de sa boîte. Et il génère en 8 secondes un message que tu mettrais 45 minutes à écrire. C'est pas de la personnalisation. C'est de la compréhension. Ce que ça change concrètement : → Ton ICP passe de filtres Sales Nav à modèle prédictif Claude analyse tes deals gagnés, détecte les patterns invisibles. Un client : de 3% à 14% de taux de réponse. Même marché. Même offre. → Ton outreach passe de mail merge à intelligence contextuelle Le prospect se dit "il comprend ma situation" — pas "encore un message automatisé". → Ton système accumule de l'intelligence Scoring → contenu → signaux → outreach → call. Chaque étape rend la suivante meilleure. J'ai tout documenté : → Théorie ICP prédictive → Outreach contextuel → Intelligence pré-appel automatique → Architecture complète + 10 prompts C'est le système que je build avec mes clients. Tu gères ton propre pipe ? → Like ce post → Commente BLUEPRINT Je t'envoie en DM.

I built a 24/7 autonomous outbound system with AI agents. No SDRs. No list scraping. No $1,500/mo outreach stack. Just high-intent prospects detected automatically. Most teams still do outbound the old way. They scrape a list. Send 500 cold messages. Hope someone replies. Response rates: 1–2%. The problem isn’t the message. The problem is timing. People only buy when something changes. A new job. A funding round. Hiring spike. Competitor engagement. New product launch. Traditional prospecting completely ignores this. So I built something different with GojiberryAI. Instead of blasting lists, the system monitors buying signals across LinkedIn 24/7. When intent appears, the AI agent moves instantly. Here’s what the system is doing right now: • Signal Hunter — scans LinkedIn for buying signals (job changes, hiring, competitor activity) • ICP Matcher — filters prospects against your exact ICP • Lead Researcher — analyzes the company, role, and recent activity • Intent Scorer — prioritizes the leads most likely to buy • Message Writer — generates contextual outreach based on the trigger • Conversation Starter — launches outreach the moment intent appears The result: No random lists. No generic sequences. No spray-and-pray outreach. Just warm outbound conversations starting every day. Most companies hire an SDR to do this manually. That costs $5k–$8k per month. An AI agent can do it 24/7 without missing signals. We documented the entire system. It shows: • how to detect buying signals • how to filter high-intent leads • how to start conversations automatically • how to build your own AI outbound workflow Want the High-Intent LinkedIn Outbound System? Like this post. Comment “INTENT” below. I’ll send the guide.

Clawdbot surpasse la prospection LinkedIn manuelle pour booker des rendez-vous. Je viens de finaliser le guide d’installation Clawdbot — accès ci-dessous ↓ Clawdbot est aujourd’hui la manière la plus efficace de faire de la prospection sur LinkedIn. Il ne se contente pas d’envoyer des messages. Il : → Trouve automatiquement des prospects correspondant à votre ICP → Détecte une réelle intention d’achat à partir des signaux LinkedIn → Rédige des accroches contextualisées → Lance des relances structurées → Qualifie les leads avant même qu’un lien calendrier apparaisse Ce seul système remplace des heures de recherche manuelle et de suivi. Pourtant, 90 % des gens font encore de la prospection comme en 2019. - Recherche manuelle. - Suivi sur Excel. - Suppositions sur qui est prêt à acheter. C’est pour ça que les gens s’épuisent. Clawdbot n’“aide” pas à faire de la prospection. Il exécute tout le système. J’ai donc documenté l’intégralité du framework Clawdbot : → Comment il identifie les prospects à forte intention → La logique de ciblage basée sur les signaux → Le workflow de prospection qui protège les comptes → La couche de qualification avant la prise de rendez-vous → La configuration exacte qui tourne sur un simple laptop ou serveur Si vous faites encore votre prospection LinkedIn manuellement, vous gaspillez un levier énorme. Commentez « CLAUDE » et je vous envoie le guide complet en DM. ♻️ Repostez pour un accès prioritaire — ma boîte de réception se remplit vite.

We spent 18 months pretending AI voice SDRs would replace humans. Then we got the bill. If a friend asked me today whether they should sign 11x, Artisan or Topo for outbound voice, I'd send them three things. One: across 10+ B2B clients on those tools, 10,000+ AI voice calls produced zero pipeline that closed. Not 0.4%. Not 0.04%. Zero. Two: Topo doesn't call itself an "AI SDR" anymore. Their site now positions them as "AI research agents." Vendors don't pivot like that when the product works. Three: the demos were genuinely good. So is a chess prodigy at eight. You still don't put him in the CFO seat. There's a fourth thing nobody's pricing in yet. Buyers spot AI voice in five seconds. They're spotting AI-written cold emails in three. The slop tax is real. Where AI still earns its budget in 2026 outbound: research, drafts, sequence variants, three months of supervised editing. Not the voice. Not the first contact. Not the meeting-booking. The full 18-month receipt is in this week's "Bullish". Newsletter link in comments. Let's grow 👊

LeadMapp vient littéralement de révolutionner la prospection 😳 Il génère 10-15 de rendez-vous qualifiés par mois. Sans que tu écrives un seul mail. Pendant que tu passes 3h pour rédiger 1 message LeadMapp structure, pilote et rédige ta prospection de A à Z Ce qui est totalement gamechanger ? ↳ En 10 min / semaine, tu remplis ton agenda de RDV. Ultra qualifiés. Voilà ce que ça change concrètement pour toi ❌ 𝐂𝐞 𝐪𝐮𝐞 𝐭𝐮 𝐟𝐚𝐢𝐬 𝐚𝐮𝐣𝐨𝐮𝐫𝐝'𝐡𝐮𝐢 (𝐪𝐮𝐢 𝐧𝐞 𝐟𝐨𝐧𝐜𝐭𝐢𝐨𝐧𝐧𝐞 𝐩𝐚𝐬) : ✖ Tu lâches 400€/mois dans des outils sans comprendre leur utilité ✖ Tu passes des heures à écrire des messages que personne ne lit ✖ Tu ne sais pas quand tu dois relancer et tu en oublies la moitié ✖ Tu prospectes sans stratégie, en espérant que ça prenne ✖ Tu recommences à zéro chaque mois. Aucune visibilité sur ce qui marche ou pas 1 ou 2 rendez-vous par mois si t'as de la chance ✅ 𝐂𝐞 𝐪𝐮𝐞 𝐋𝐞𝐚𝐝𝐌𝐚𝐩𝐩 𝐜𝐡𝐚𝐧𝐠𝐞 : Il se nourrit des informations sur ton entreprise, sur tes offres, etc... Il te conseilles les cibles les pertinentes à prospecter chaque jour Il écrit ta stratégie sur mesure, semaine par semaine. Sur 3 mois Il écrit 100% de tes messages, tes relances, tes séquences. Il écrit les réponses qui amènent les prospects au RDV. Il analyse tes résultats et te dit comment les améliorer. 𝐑𝐞́𝐬𝐮𝐥𝐭𝐚𝐭 ? Tu dois juste valider les éléments chaque semaine. En 10 minutes par semaine. Pas plus. Tu es enfin libéré de la prospection. Tu peux te concentrer sur ton business. Et sur tes RDV ! Au quotidien pour toi, ça va : → Tu n'as plus besoin de réfléchir à ta prospection. → Tu ne navigues plus à vue. Tu vois ce qui marche. En temps réel. → Chaque message est écrit à partir de TON offre. Pour TES cibles. → 4 outils, 3 tableurs, 10h de travail : Remplacés par 10 min/semaine. La prospection B2B fonctionne toujours. Mais seulement si tu as une vraie stratégie. Et l'exécution qui va avec. Et ça, LeadMapp le fait pour toi. Alors si tu veux 15 à 20 rendez-vous qualifiés chaque mois mois en passant 10 min par semaine sur ta prospection : 𝐂𝐨𝐦𝐦𝐞𝐧𝐭𝐞 « 𝐋𝐄𝐀𝐃𝐌𝐀𝐏𝐏 » 𝐜𝐢–𝐝𝐞𝐬𝐬𝐨𝐮𝐬  ↳ 𝚎𝚝 𝚓𝚎 𝚝'𝚎𝚗𝚟𝚘𝚒𝚎 𝚞𝚗𝚎 𝚟𝚒𝚍𝚎́𝚘 𝚍'𝚒𝚗𝚜𝚝𝚊𝚕𝚕𝚊𝚝𝚒𝚘𝚗 𝚍𝚎́𝚝𝚊𝚒𝚕𝚕𝚎́𝚎. ❗On doit être connecté pour que je puisse te l'envoyer :) ♻️ Repartage pour un accès prioritaire :)

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 :)

GPT-5.2 = 23 meetings booked last week AI now handles 100% of my cold outreach Most think AI outreach means: - Sending 1000 spammy-looking cold messages - Generic AI written messages - Ruining their email accounts and reputation They're WRONG I wired GPT-5.2 into an AI Sales System that handles my ENTIRE outreach here’s what’s inside: → searches the whole internet to find social signal of the prospect → writes first messages that sound 1:1 → adapts tone using website + product updates → handles replies, objections, and follow-ups → triggers calls + emails at the right moment → qualifies leads before booking meetings In a nutshell, an AI agent system that automates everything and books call directly on your calendar It doesn’t just send messages it reads what prospects post, adapts the tone, and plans the next 3 moves before hitting send. Want access? 1️⃣ Connect + Like this post 2️⃣ Comment “system” below 🔁 Repost for priority access. P.S. These aren’t ideas or half-finished prompts.

Most outreach fails before the first message. Why? Because you’re not targeting relevance. You’re targeting guesses. That’s why I changed my workflow last month. I started listening. Here’s what I built using La Growth Machine👇 1️⃣ Track the keyword “cold-email” across LinkedIn, Reddit, X using @Buska… → I catch people already talking about the topic I solve. 2️⃣ Send the list straight to LGM using their native integration → Zero CSV. Leads land directly inside a fresh audience. 3️⃣ Enrich with verified data (thanks to LGM’s 9-source waterfall) → Email + LinkedIn + job title + company, all clean and up to date. 4️⃣ Multichannel outreach starts instantly → LGM Magic Message helps me to craft relevant copies → Smart invite + message sequence (with Real Chat mode, make LinkedIn outreach seem more human) → A/B tested emails → Voice note follow-ups → Warm calls as backup → All synced in one inbox 5️⃣ LGM Lookalike engine kicks in → Every “yes” can trigger a new list of similar companies. → The campaign feeds itself. No scrubbing spreadsheets. No manual imports. No guessing who cares. Just people who already showed a signal. Then hyper-relevant, human outreach powered by the right tech. ✅ High reply rate ✅ Stronger fit and relevance ✅ Semi automated Want to use this template? Like this post + comment “WORKFLOW” and I’ll send you the full automation breakdown + a free access to La Growth Machine. Let’s raise the outbound bar in 2026.

Most SDR work should no longer exist. No, I’m not talking about thinking, closing, or human conversations. But the repetitive parts, where: - You explain the same thing again and again - You answer the same first questions - You wait hours to reply while the buyer’s attention fades That’s where deals quietly die today. So if you completely disagree with Elon, you’re missing the bigger picture. Because in sales, a smaller version of that future is already optional today. Let me explain. Buyers move fast now. Their attention lasts seconds, not hours. And 40-60% of deals disappear simply because reps don’t reply at the exact moment a buyer gets curious. Not because they’re bad at selling. Because they’re human. - You might be on a call. - You might be closing something else. - You might be asleep. But by the time you respond, the window is already gone. That’s the real bottleneck in outbound. Now, you can try to fix this the old way: → Hire more SDRs. → Add more shifts. → Spend more money. → Build bigger teams. But none of that actually solves the timing gap. This is where the shift is already happening. Elon thinks AI will replace workers. In sales, the best SDRs are being replaced by their AI twin. Not to remove the human part. To handle the repetitive part. The part that: - Explains what you do - Answers the FAQs - Keeps the lead warm - Books the meeting when they’re ready So you stay focused on the most human work → The real conversation, nurturing and close. That’s exactly where Anam comes in. 1. It helps you create your AI clone once. 2. Trained on your tone, your pitch, your objections. 3. And it stays present in the moments you physically can’t be. Not to replace you. To replicate the best parts of you. So attention doesn’t slip, and opportunities don’t die in silence. Optional work isn’t 20 years away. In sales, the repetitive part is already optional. And smart SDRs are living the first chapter of that future today. PS: Comment “ANAM” to try a free one-shot AI clone (usually a premium feature).

CLAUDE just automated 100% of my cold outreach. 0 manual messages. 0 generic messages. 0 hours wasted. most people think ai outreach means spammy, cringe, ignoreable DMs they’re right. bad ai makes you look like a bot. but when the system is built properly? you get real personalization at scale that actually turns into meetings. we’ve spent months stress testing this with b2b founders + sales teams. here’s what’s inside: → scans profiles + recent posts for real context → writes first messages that sound 1:1 → adapts tone using website + product updates → handles replies, objections, and follow-ups → triggers calls + emails at the right moment → qualifies leads before booking meetings this system runs 24/7. it enriches data, understands context, and runs full conversations, all on AUTOPILOT. the AI even mirrors how prospect talk. one client is booking 9-13 qualified meetings every week using this setup. the ROI is stupid when it’s done right. i’m sharing the full implementation want access? 🟣 connect with me 🟣 comment “AUTOPILOT” ps: repost for priority access

Voici l'agents IA Commercial que nous avons le plus vendus dans notre agence… et je on te le donne gratuitement. On l’a vendu plus de 5 000 € à nos clients, mais qui leurs a fait gagner plus 180K cumulé... Voici l’agent IA que nous avons le plus vendu dans notre agence… et que je te donne gratuitement. Cet agent, à lui seul, représente une grosse partie de notre chiffre d’affaires. Et le plus fou ? 👉 Il travaille 24h/24, sans LinkedIn, sans scraping manuel, sans relance humaine. Agent IA Prospection B2B — “Le remplaçant de 3 commerciaux” Concrètement, voici ce qu’il fait : Tu entres un mot-clé via un simple formulaire L’agent lance une recherche automatique sur Apollo Il analyse : - la taille de l’entreprise - le nombre de jobs ouverts - la présence LinkedIn Il extrait : - le profil LinkedIn - le username - l’email professionnel, vérifié automatiquement via Apollo L’IA : - résume le profil - analyse les dernières activités LinkedIn - Tout est envoyé proprement dans un Google Sheet structuré 🔁 S’il y a une erreur ou un blocage, la ligne est relancée automatiquement plus tard. Résultat Plus besoin de scraper à la main Plus besoin de multiplier les outils Plus besoin d’une équipe de commerciaux pour la recherche Tu lances l'agent. - La machine bosse pour toi, jour et nuit. 🎁 On te donne le template gratuitement 🎁 👉 Commente “IA” et on t’envoie directement : - le template de l’automatisation - l’accès à notre Hub gratuit où tu retrouves toutes nos automatisations IA & n8n Ces agents IA, ce n’est pas “juste de l’automatisation”. C’est une nouvelle manière de vendre, plus scalable, plus rentable, plus intelligente. Si tu veux passer un cap en prospection B2B, tu sais quoi faire 👇

Ramp just hit $1B ARR. Outbound is their number 1 growth engine. Here are 5 things they do differently: 1. Run on Speed 48-hour MVP rule. Weekly experiment cadence. Live "days since founding" timer for urgency. Short feedback loops = lower cost of being wrong. 2. Dual Outbound Funnels Funnel 1: Sales team (Tier 1 manual, Tier 2 AI-assisted, Tier 3 sequences) Funnel 2: Separate domains/IPs as benchmark + deliverability hedge Most companies run one funnel. And wonder why it breaks. 3. Treat Outbound Like Product Growth people + engineers on outbound. 200 experiments per quarter. Track one metric: qualified pipeline per payback. Not just "more dials." 4. Flexible Tech Stack Composable tools. No vendor lock-in. Contact data waterfalls. Multi-channel orchestration. Start simple. Scale into supporting hundreds of reps. 5. AI as Force Multiplier Use AI for repetitive work: - Write messaging - CRM autofill - Reply triage - Risk alerts So humans spend more time selling. Not replacing reps. Most companies fail at outbound because they underinvest. Ramp treats it like product development. With dedicated engineering resources. Result: $1B ARR. - 📌 I've broken down exactly how Ramp scaled to $1B ARR with outbound. The complete playbook with tactical details. Want it? 1. Like this post 2. Comment "outbound". I'll send you the link ASAP. -- Sources: Not Boring (’21–’22), TechCrunch (Mar ’25), Ramp PR (Aug ’25).

My AI agent found 1,495 warm opportunities in the last 30 days. On autopilot. No scraping. No manual prospecting. No “spray & pray”. Today, I’m breaking down exactly how it works 👇 Instead of guessing who to contact, the agent: - learns my who my ideal customers are - tracks real buying intent (competitor activity, keywords, profile visits, job changes, etc.) - scores every lead so I only focus on the hottest ones - engages them instantly on LinkedIn with contextual messages The result? → +50% reply rate → 0 hours/week spent prospecting → Opportunities show up daily, without touching Sales Navigator or another platform In the video, I walk you through the exact setup so you can build the same “warm opportunities agent” yourself. No theory. Just the system. If you want the full blueprint (signals, setup, scoring, messaging, automation) that gets me ~50% reply rates, comment “50” and I’ll send it.

Your $5,000/month GTM operator just got replaced by Claude Opus. Not because of a prompt. Because it can now orchestrate your entire outbound engine from end to end: - Pull prospect lists from Apollo - Enrich contacts with Wiza - Use Clay for research and routing - Scan professional socials for buying signals - Decide who gets social outreach vs cold email - Write the copy in your voice - Launch campaigns through Instantly or Smartlead - Monitor replies and surface the highest-intent leads first Most people still think AI is a writing tool. They haven’t realized the real shift: Claude Opus can now act like an always-on GTM operator. Here’s what that looks like: 1/ Prospecting becomes a prompt You give Claude your ICP, offer, territory, and constraints. It builds or imports the right list from Apollo, Clay, CSVs, and other sources. 2/ Research gets compressed Instead of spending hours manually digging through accounts, Claude researches companies, contacts, role fit, intent signals, and recent activity across the professional web. 3/ Lead routing gets smarter Not every prospect should get the same playbook. Claude can decide who should get social-first outreach, who should get email-first, and who is not worth touching yet. 4/ Enrichment happens automatically When email is the better channel, Claude can trigger enrichment through Wiza and prep the lead for outbound. 5/ Personalization happens at scale Claude drafts cold emails, follow-ups, social messages, openers, and campaign angles based on actual account context, not generic templates. 6/ Execution becomes orchestrated Instead of stitching together a bloated stack by hand, Claude coordinates the workflow across Clay, Instantly, Smartlead, enrichment tools, and your prospect data. 7/ Signals become actionable Claude can monitor activity, role changes, company momentum, hiring patterns, and engagement, then turn those signals into outreach timing and message strategy. 8/ Replies get prioritized Instead of manually sorting noise from intent, Claude surfaces the conversations most likely to convert. This is the part most people miss: The opportunity is not that AI helps with prospecting. It’s that Claude Opus can run the system. You’re no longer paying a human operator to hold together a stack of disconnected GTM tools. You give Claude the stack: - Apollo - Clay - Wiza - Instantly - Smartlead - Professional social signals - Research workflows - Message sequencing - Reply triage And Claude becomes the operator. This means you can replace a $3,000 to $5,000/month GTM workflow with one AI orchestrator that moves faster, scales harder, and doesn’t drop steps. Comment Claude and I’ll send the full breakdown.