Nimo Shkedy's Linkedin Analytics

Outbound isn't dead. But it's definitely dying. It still works - 𝙩𝙤𝙙𝙖𝙮. But spam filters, LinkedIn bans, and call blockers (re the latest iOS updates) are closing in fast. What's next? If you're playing the long game, start now: → Build communities (Jared Robin + Boaz Descalo) → Create content (Augusto Ferreira🌴 + Tom Orbach) → Invest in thought leadership (Jon Rittenberg + Andrew Jacobson) → Grow your network (Mac Reddin 🦕 + Ben Lang) → Have an in-person strategy (Adir Zimerman + Assa Eldar 🔥) Outbound buys 𝘁𝗶𝗺𝗲. Strategy buys your 𝗳𝘂𝘁𝘂𝗿𝗲. My focus? Network intelligence: → Followers of X → Social Engagers of X → Clients of X → Collaborators of X → ICPs Connected to X → Partners of X X =   You Friends, clients, investors Partners Competitors Adjacent solutions Where are you placing your bets? ⬇️

Building your GTM + AI + automations roadmap? Here are the 3 levels of tools you'll want. I mentored a GTM + AI + automations hackathon yesterday Questions like these kept popping up: → Why do you recommend Clay over n8n? → What is better: vibe coding or no code tools? Here's my simple guide for building your progress plan: (TLDR: I recommend starting with level 1 then going for 2 and 3.) 𝗟𝗲𝘃𝗲𝗹 𝟭: 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗳𝗶𝗿𝘀𝘁 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄: 𝗨𝘀𝗲 𝗖𝗹𝗮𝘆. Easiest to build and maintain. Requires almost no coding skills. Super straightforward and user-friendly interface. Connect to any tool and run any AI prompt. Costs $350/mo but simple, unlimited automations are worth it! I always choose to use it first. 𝗟𝗲𝘃𝗲𝗹 𝟮: 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮𝗻 𝗮𝗴𝗲𝗻𝘁 𝗼𝗿 𝗮 𝗺𝗼𝗿𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝘂𝘀𝗲 𝗻𝟴𝗻. n8n handles moderately complex scenarios better than Clay. Supports loops and more advanced logic flows. Has amazing support for AI agents with cool functions. Gets difficult to maintain and debug when > 1 nested loop Good middle ground between simplicity and power. 𝗟𝗲𝘃𝗲𝗹 𝟯: 𝗔𝗹𝗿𝗲𝗮𝗱𝘆 𝗸𝗻𝗼𝘄 𝗻𝟴𝗻 / 𝗖𝗹𝗮𝘆 & 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱? 𝘂𝘀𝗲 𝗖𝘂𝗿𝘀𝗼𝗿. It can build literally anything you need. Makes complex data processing and retrieval tasks easy. Careful though - it sometimes hallucinates APIs that don't exist. Steep learning curve but worth mastering. P.S: Any questions or other tools I should add to my list? And big thanks to Boaz Descalo Eyal Gurevich Uri Goren Uri Haramati Ariel Kornberg Raviv Kerem Michael Attias Nim Sadeh Shlomit Levi Arzi David Weinstein Ali Mukhamadiev ☂️ Ofer Hermoni, Ph.D. and the incredible Augusto Ferreira🌴 for inspiring this post 🙏

All SDRs (yes, AI included) are in a race to the bottom. Just this week, I spoke with: • A series-C CEO who fired his **entire** 8 x SDRs team and "hired" AI SDRs • A PE-backed CRO who expects AEs networking to source the majority of his deals, while SDRs are at best a secondary source They are both right because of this dynamic: 57+ identical AI SDRs (I'll help you choose if you insist) ⬇️ AI SDRs lower prices + increase volume ⬇️ Outbound continues to tank across the board ⬇️ "personalized" messages get ignored ⬇️ SDR ROI (Human or AI) further decreases ⬇️ The end result? Outbound and ads merge into "omnichannel": 1. Pay to play (at least at scale) 2. CTRs decrease → CAC increases 3. AI personalization (Clay / Meta's AI ads for example) So how do you win? 1. Create content and offers that your customers really, actually care about 2. Rapid experiments on targeting x creative x offer x capture mechanism 3. Outbound with extreme business relevance (NOT "personalization"! REAL WIIFM) 4. Network like your life depends on it (because it does) P.S: 𝗜'𝗺 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗮 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗵𝗮𝗰𝗸𝗶𝗻𝗴 𝗺𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 (𝗻𝗮𝘁𝘂𝗿𝗮𝗹𝗹𝘆, 𝘄𝗶𝘁𝗵 𝗔𝗜) Want to join it & help me reach more people? Comment your thoughts 😘