Exemples de lead magnets LinkedIn en sales development

D.E.P. agencias de outreach y equipos de SDR. Claude Cowork acaba de reemplazarlos a todos. He probado todas las formas de hacer outbound en LinkedIn. Mensajes manuales, plantillas, automatizaciones baratas… ninguna se acercaba. Entonces configuré Claude Cowork para hacer esto y todo cambió. Abre LinkedIn. Lee el perfil del prospecto. Investiga su empresa, su cargo, lo que ha publicado últimamente. Escribe un mensaje que parece redactado a mano. Lo envía. Solo. Sin que tú toques nada. Los resultados: — Mensajes que se sienten 1 a 1, no copiados y pegados — Aperturas de conversación que convierten porque van al problema real — Cero escritura manual ni tiempo perdido en investigación — El prospecto no sabe que es automático porque no lo es visualmente Es el sistema que uso yo: → Claude investiga al prospecto en tiempo real → Personaliza cada mensaje con datos reales de su perfil → Escribe en tu tono exacto, no en el de una plantilla → Dispara el mensaje y pasa al siguiente Si sigues pagando 3.000€ al mes a una agencia o perdiendo horas escribiendo mensajes tú mismo esto va a cambiarte el enfoque. Voy a grabar un video mostrando exactamente cómo lo tengo configurado, el prompt, el flujo completo y cómo lo automatizo para que funcione solo cada mañana. 👉 Dale like a este post y conéctate conmigo — si no somos contactos no te lo puedo enviar 👉 Comenta OUTBOUND — si además lo compartes te meto en una lista con prioridad de respuesta

CLAUDE CODE just destroyed LinkedIn outreach. And I'm never going back... 99% of companies still do LinkedIn outreach 1 of 2 ways: 1. Manual outreach = 3-4 hours wasted every single day 2. Automation tools = generic spam that kills your reply rates Because they think that: AI LinkedIn outreach = robotic messages And they were right... 2 years ago But with CLAUDE? Everything changes. It now runs complete LinkedIn outreach conversations: → Finds your ideal prospects on its own → Writes unique messages using their profile data → Adapts tone and approach to each person → Handles objections in real-time → Qualifies prospects before booking → Waits 2-15 minutes between replies The conversations are more personalized than what 99% of human SDRs could ever do manually. And it takes 0 time. How? Because it analyzes every detail about the prospect and the convo before responding. The best part? It speaks EXACTLY like you would. And ONLY books meetings only with qualified prospects... all on its own. One client just started using it last month:  - 42% reply rate  - 55 qualfiied calls booked  - 500K added in pipeline I documented the entire system so you can implement it in your company. Want access? 1. Connect with me 2. Comment "CLAUDE" P.S: repost for priority access

CLAUDE CODE just destroyed LinkedIn outreach. And I'm never going back... 99% of people still do LinkedIn outreach 1 of 2 ways: - send templated sequences with zero real personalization. - spend hours doing research and manually crafting messages. That gets them NOWHERE. 0 unique messages. 0 replies. 0 meetings booked. And when AI gets mentioned? Everyone panics about LOSING authenticity. And they would be 100% right... in 2024. Here's what changed: I've spent the last 12 months testing every AI model and tool that exists for outreach. And new AI models? They're more authentic than 99% of human SDRs... AI can now handle: - Prospect research and qualification - Writing personalized messages - Following up automatically - Handling objections in a human way - Booking meetings on full autopilot But here's the game-changer: This AI becomes a replica of YOU. Same tone. Same voice. Same approach. Each message reads like your top SDR wrote it personally. Prospects can't tell the difference between chatting with the AI and talking to you on a call. One client implemented this system 30 days ago: → 38% reply rate → 40+ meetings booked → $500K+ pipeline generated All by letting the AI do the work on its OWN. Want to see how this CLAUDE for LinkedIn outreach can book you 2-5 meetings/day? 1. Connect with me 2. Comment "CLAUDE" P.S: repost for priority access

Today, we’re releasing OpenClaw for outreach. We gave OpenClaw a LinkedIn account. It captured high-intent demand and converted it into 12 demos in 7 days. Salespeople: you’ll never have to worry about booking demos again. Behind OpenClaw is a system that doesn’t rely on cold lists. It detects buying intent first. Then a 3-agent SDR system takes over. A Research Agent. A Qualification Agent. A Closing Agent. Here’s how it works: → Detects high-intent signals on LinkedIn → The Research Agent analyzes the prospect in 60 seconds → The Qualification Agent scores fit + intent → OpenClaw starts the conversation automatically → It handles replies and objections in real time → The Closing Agent prepares meetings and follow-ups No scraping. No generic sequences. No missed opportunities. You just plug in: Your product Your ICP Your pipeline And the system runs 24/7. I documented the full setup. → The 3 agents behind OpenClaw → The exact prompts (copy-paste into Claude) → How to run the full pipeline end-to-end Want it? 1. Connect with me 2. Comment “AGENTS” I’ll send everything in DM.

Linkedin voice notes are killing it but most people still don't use it correctly. It gets attention faster than an average text. If you think voice notes doesn’t work That’s because you’re making these two mistakes: ↳ not asking for consent in the voice note ↳ the note sounds like every other SDR on the platform I've taken 3 best performing scripts and explained how to start using them the right way. If you want it.. Comment "SEND" and I'll share:

Your closed-won customers already told you who your ICP is. Here's how to extract this data and brief a Clay table: 𝟏. 𝐋𝐨𝐚𝐝 𝐭𝐡𝐞 𝐰𝐢𝐧 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐂𝐥𝐚𝐮𝐝𝐞 𝐂𝐨𝐝𝐞 → Drop 5 closed-won deals into a folder Transcripts, demo notes, Slack threads, win/loss summaries. 5 deals with rich notes beats 50 with thin data. → One file per account Who they were, what they said, why they bought, and what almost killed the deal. Quality of input sets the ceiling on the output. 𝟐. 𝐑𝐮𝐧 𝐭𝐡𝐞 𝐢𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 𝐩𝐫𝐨𝐦𝐩𝐭 Ask Claude Code to extract from every account: → Firmographics (industry, size, geo) → Disqualifiers (what almost killed the deal) → Pain language (their exact words, not yours) → Triggers (what happened 90 days before they bought) Tell it to flag uncertainty. Don’t guess. 𝟑. 𝐈𝐧𝐭𝐞𝐫𝐫𝐨𝐠𝐚𝐭𝐞 𝐭𝐡𝐞 𝐨𝐮𝐭𝐩𝐮𝐭 This step matters most. → Which patterns are real, which are coincidence? → Which signals are findable in public data? → Which disqualifiers do you trust? Save the final version as your proprietary input to Clay. 𝟒. 𝐇𝐚𝐧𝐝 𝐭𝐡𝐞 𝐛𝐫𝐢𝐞𝐟 𝐭𝐨 𝐂𝐥𝐚𝐲 → Source accounts on firmographics → Layer 3 to 5 trigger signals (Crunchbase, BuiltWith, Exa, Champify) → Filter on disqualifiers (the most underused move in Clay) → Score with a Clay AI column primed with your full brief → Hand off the top 50 to your SDRs Claude Code = the strategist. Clay = the operator. The moat is the brief Claude Code writes for Clay. 𝐖𝐚𝐧𝐭 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥 𝐩𝐥𝐚𝐲𝐛𝐨𝐨𝐤? It includes the folder setup, exact prompts to use, and detailed screenshots. 1/ Like this post 👍 2/ Make sure we're connected 🤝 3/ Comment "ICP" and I will send them over 💬

Everyone says you need better messaging to get more connections. But your message doesn't matter if they don't know who you are. Many SDRs treat social warming as a checkbox. They automate 3 likes in 10 seconds and think it builds trust. It doesn't. Real social warming takes patience, but it works. 32% of cold connection requests get accepted. Add one interaction before reaching out? 40%. Same message and targeting with 25% more connections. Here's the 5-step system that actually works: Step 1: Find active prospects Target people posting about problems you solve. Skip dormant profiles. They won't see your warming. Step 2: Like ONE recent post From the last 7 days only. Older posts scream "I'm prospecting you." Step 3: View their profile They get a notification. Your name registers. Don't skip this. It matters. Step 4: Follow if they post weekly Only if they're active creators. Otherwise, skip to step 5. Step 5: Send connection request on Day 3 Short note. Reference their content. "Saw your post on [topic]. Resonated because [reason]." What kills social warming: → Generic "Great post!" comments → Liking 10 posts in 30 seconds → Pitching immediately after connecting → Warming people who don't fit your ICP → Having a trash profile when they check you out They WILL look at your profile after you engage. Make sure it's ready before you start. When your connection request arrives, you're already familiar. Not a stranger asking for something. But someone they've seen around. That tiny shift from unknown to familiar changes everything. But most teams skip it because it takes 3 days instead of 3 seconds. We built a complete warming sequence you can duplicate in LGM. Automated patience. No manual clicking. Comment "LGM" and I'll send you the full system. Save for later. ♻️ Repost for others.

I manage 600K cold emails/month with a tiny team.   Most companies need 10+ SDRs to do this.   I do it with Clay + AI + systems.   Just filmed a full breakdown:   > What a GTM Engineer actually does > The 3 pillars (data, automation, AI) > Real campaign: 1,616 leads → 47 positive replies > How to become one (skill stack + mindset)   Comment "GTM" and I'll send you the link when it drops.

Ton taux de réponse en cold email est à 1 %. Celui de certains SDR que j'accompagne dépasse les 8 %. La différence ? Pas le copywriting. La segmentation. Je m'explique : La plupart des SDR pensent que c'est leur objet de mail ou leur première ligne qui pose problème. En réalité, ils envoient le bon message… aux mauvaises personnes. Quand tu envoies 1000 mails à une base mal découpée, tu peux avoir le meilleur copywriting du monde. Résultat : 1 % de réponse. Silence radio. Les SDR que j'accompagne qui dépassent les 8 % font une chose différente : → Ils segmentent AVANT d'écrire. Concrètement : • Ils découpent leur base par signaux concrets (changement de poste, recrutement en cours, techno utilisée) • Ils créent des micro-segments de 50 à 200 personnes max • Ils adaptent UN message par segment — pas 12 variables dans un mail à rallonge Le copywriting se fait par la segmentation. Pas par l'ajout de "Félicitations pour votre levée de fonds" que le prospect a reçu 47 fois. Un mot bien choisi parce que tu connais le contexte > une phrase d'accroche générique avec 5 variables. ↳ Petit segment + bon contexte = taux de réponse qui explose. ↳ Gros segment + message générique = pipeline vide. On ne court plus après le volume. On construit de la pertinence. PS : Si tu veux qu'on regarde ensemble ta segmentation et tes séquences, envoie-moi un message privé. PS 2 : Écris "SEGMENT" en commentaire, je t'envoie notre grille de scoring pour prioriser tes listes.

I built an automation that booked us 5 calls/ day in December. Here's how I did it in 2 hours. Last month, I was staring at our pipeline and doing the math. Our team was spending 30h/week just setting up enrichment tables, downloading lists and uploading them to sequencers: a full day gone before sending a single email. We had 3 SDRs doing that. So I thought: what if I could automate the entire thing? Here's exactly what I built: I connected our data enrichment modules to Claude’s API (for personalized copywriting) to our LinkedIn and email sequencers - all tied together with an automated workflow. Now when I hit execute, here's what happens: 1. Leads enriched with hiring posts and tech stack change signals 2. Finds company LinkedIn description 3. Pulls person's last 5 LinkedIn posts 4. Automated workflow feeds it all into Claude Sonnet 4.5 5. Claude writes copy that sounds like this: “Tim, read your tool stack guide - the AI voiceover prompt there is INSANE! Looks like the integrations might be giving you hell though. Wanted to run something by you.” Each prospect gets a message that feels like I spent 15 minutes researching them. But I didn't. The system did it 3,500 times in one week. The difference is night and day. Instead of mass templates that scream "I'm automating this," leads are responding with "how did you even know that lol" While other teams are hiring more SDRs, we're just building better systems. 387 meetings. One workflow. 2 hours to set up. We have a free GTM community where we share workflows like that weekly. Comment “COMMUNITY” and I’ll send you the invite.

𝗖𝗹𝗮𝘂𝗱𝗲 𝗳𝗼𝗿 𝗦𝗗𝗥: 𝗧𝗵𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 💵 Most sales teams pay SDR rates for research work. That's 60% of the day: list building, signal hunting, first drafts and it's exactly the layer Claude can own. That's why I built an AI SDR that: → Pulls ICP-fit prospects from Apollo, Clay, or your CRM via MCP → Searches the web for buying signals on each company → Writes a personalized draft for every prospect worth reaching today I built the full setup end to end. Here's exactly how to replicate it. Inside you'll find:  1. The Setup: Claude Code and the MCP Connectors You Need  2. How to Write an ICP That Claude Can Actually Use  3. The Timing Engine: From Prospect List to Prioritized Shortlist  4. How to Wake Up Every Morning With a Shortlist Already Written Comment SDR and I'll send you the link 🔥

1.5 years back, I believed cold calling success depended on the perfect script. Today, I know one thing clearly: It’s all about the DATA. I’ve seen French SDRs and independent BDRs: 🎯Dial 100 contacts 🎯 Connect with barely 40 actual decision-makers 🎯Burn hours on invalid or outdated numbers The issue wasn’t their sales skills. It was poor enrichment. Most popular tools (even the big names) average around 50–70% mobile accuracy. Think about that. Half of your team’s effort is gone before the conversation even starts. That’s why I shifted my focus completely: 🎯 Combining manual research + multiple enrichment sources 🎯 Targeting verified French mobile numbers only 🎯 Delivering 85–90% average coverage No monthly subscriptions. No hidden fees. Just accurate, ready-to-call prospect lists. If you’re doing cold outreach in France and want to see the difference quality data makes, Comment “DATA” — I’ll share 20 free sample contacts. Let your team spend time selling, not dialing dead numbers. 🚀