ColdIQ ads

You can now manage your Linkedln Ads campaigns on Claude Code. And it took 300+ hours of work to make it this simple. Linkedln Ads is one of the most tedious platforms to run. Bid adjustments, audience changes, campaign analysis, catching creative fatigue - and you do all of it across dozens of campaigns and ad sets. When you're spending over $100k a month like we do for our clients, that work fills entire days. So I decided to connect Claude Code to Linkedln Ads. I took everything I know about Linkedln Ads and turned it into skills - my own AI media buyer. It took a lot of back and forth to get the output right. What came out is probably the only skills database in the space that lets you run LinkedIn Ads from Claude Code at a real professional level. Years of my learnings on how to scale B2B SaaS and agency accounts and actually get results, plus the onboarding process to set it all up. The exact skills we use internally to manage our own clients in our $7M ARR GTM agency. I'm opening it up for free. Just comment "Linkedln Ads" and I'll send it over.

I joined ColdIQ at $2M ARR. 15 months later we hit $7M. Here's the exact growth system that got us here: 1 - TAM Mapping First, you need to know exactly who you're selling to. We took our sales calls, close-won accounts, and MQLs - ran audience intelligence on all of it. Firmographics. Demographics. Company details. Persona signals. Who has the highest LTV? Which title closes most often? Which segment converts fastest? We scored everything and built a tiered ICP matrix. Then we went to 25+ databases - Apollo, DiscoLike , PandaMatch 🐼 - pulled account lists and enriched them in Clay against that ICP matrix. Each account scored and tiered. From there, we pulled contact lists and verified emails with FullEnrich. The result? One table. Our entire TAM. Every relevant persona mapped. Every company enriched - funding, firmographics, tech stack, ad spend. One source of truth. 2 - LinkedIn Content Strategy We mapped the full LinkedIn content funnel - TOF, MOF, BOF - across multiple team accounts. Each person targets different pain points from our personas: Monika Grycz 💌 - Outbound (TOF/MOF) Alex Vacca 🧠🛠️ - Revenue systems (TOF/MOF) Michel Lieben 🧠 - AI tools and tech stacks (TOF) Kenny Damian - GTM and outbound (MOF/BOF) Myself - Growth systems and ABM (MOF/BOF) Every post crafted for our ICP. Thousands of impressions each week. But we don't stop there. 3 - ABM / LinkedIn Ads We upload those TAM lists from step 1 into LinkedIn. Then we take the best-performing organic posts and turn them into Thought Leader Ads. Curated ICP list + Thought Leader Ads = revenue machine. Our ICP sees our best content every time they open their feed. If they interact with our posts or visit our website - they get served MOF/BOF content - i.e: system breakdowns (like this one) or client testimonials. Nothing is random. Every impression is deliberate. 4 - Signal-Based Outbound This is where it compounds. Every LinkedIn post. Every Thought Leader Ad. Synced to Clay. Every engagement, profile view, interaction gets routed, scored, and actioned - outbound message, SDR follow-up, or nurture sequence. Same lists also get cold outbound. The ads run as air cover. By the time we hit their inbox, we're not just another email. They've seen our content for weeks. This is the exact system I've been running at ColdIQ. Since 2025, I've been implementing it for B2B companies to generate multiple millions in pipeline. Check how you can work with us here: https://lnkd.in/eFDsZE5J Tools on the visual: TAM Mapping: Common Room, Pandamatch, Ocean.io , Discolike LinkedIn Content: Taplio, Figma, Scripe, Claude LinkedIn Ads: ZenABM, Fibbler, Hubspot, Zapier Outbound: Instantly.ai, Clay, N8N

Kenny automates entire outbound campaigns using Claude Code. ...and we recorded a 40-min breakdown anyone can replicate: You write a few prompts in the terminal, along with a list of companies, and then... Claude Code takes over by: 1. Scoring & segmenting your lead list against your ICP. 2. Finding verified email addresses via several email lookup APIs. 3. Writing personalized copy on its own (based on best performing frameworks) 4. Uploading the whole campaign (leads, sequence & copy) straight into your sequencer. The entire process is completed in under ~15 minutes. And we broke it down to the slightest detail. You can watch it here - https://lnkd.in/e3t6WRNs P.S: What's the craziest buildout you've done using Claude Code?

Claude Code can connect your entire GTM stack. Most teams are running 10+ tools that don't talk to each other. Here are the 19 APIs worth connecting: 1️⃣ Signal layer PredictLeads- tracks hiring surges, funding rounds, and tech adoption across 100M+ companies. Common Room - unifies community, product, and GTM signals. Surfaces warm leads from GitHub, Discord, LinkedIn, G2, and job changes. Attention - records and analyzes every sales call. Query your entire conversation history with natural language. Pull competitor mentions and objections programmatically. RB2B / Vector 👻 - identifies anonymous website visitors. The people already on your site are warmer than any cold list you'll ever buy. 2️⃣ Data layer Openmart - 200M+ local business records. Search by category and location, enrich with verified emails and phones. Wiza - turns LinkedIn profiles into verified contact data. 50+ data points per contact. Prospeo - 98%+ verified email accuracy. Person enrichment, company enrichment, domain search, and a 200M+ contact database. FullEnrich- the waterfall play. One API that cascades through 20+ providers until it finds verified emails and phones. 80%+ find rates. Replaced 3 separate enrichment subscriptions for most teams we work with. Apollo — B2B contact and company data. Search, filter, and enrich prospects with firmographic and technographic data at scale. 3️⃣ Action layer Fully programmable outreach. Claude Code can create campaigns, trigger sequences, and manage follow-ups without touching a UI. Instantly.ai — full programmatic control over cold email. Create campaigns, manage warmup, track analytics, and trigger webhooks on replies. lemlist - multichannel sequences: email + LinkedIn + calls. Route leads to the right channel based on enrichment data. LinkedIn Ads - B2B paid acquisition. Programmatically create campaigns, sync audience lists, and retarget high-intent accounts. 4️⃣ Automation layer n8n - workflow orchestration for AI agents and API workflows. Connect any tool above into multi-step sequences that trigger, branch, and loop. 5️⃣ System of record Attio - AI-native CRM with full API access. People, companies, deals, custom objects, lists, tasks - all with real-time webhooks. Most CRMs weren't built for this kind of stack. Attio was. 6️⃣ Conversion layer Cal.com - scheduling infrastructure. Embed booking links in emails, auto-route meetings, and sync every booking back to your CRM. 7️⃣ Revenue layer Hyperline - billing, subscriptions, usage metering, and invoicing. Webhooks for payment events, analytics for ARR, MRR, and churn. With this stack, you can build: → Full-cycle outbound: signal detection to enrichment to outreach to CRM update. No manual steps. → Custom GTM agents: autonomous workflows that monitor signals, enrich contacts, route to the right channel, and report results 24/7. The stack isn't the advantage. Making all the tools interconnected is. What tool would you connect first?

This LinkedIn strategy helps us generate $19,000+/day. I helped a $10M/year SaaS founder replicate it in 73 minutes: Here are some of the tips I gave him (that took me from 2K to 69K followers): 1. Treat your profile like a landing page Your tagline needs social proof. Your banner must include your value prop, not a vague quote. 2. Get LinkedIn Premium for the custom CTA button One-click path from your post to your website. No need to visit your profile first. 3. Post at the exact same time every day Think of it like a TV show. Pick a time you'll never miss and stick to it within 10 minutes. 4. Never schedule your posts Always hit publish manually. Scheduled posts consistently underperform. I tested it and saw an instant dip. 5. Find 2-3 recurring formats you can decline every week Proven topic + proven format = consistent performance. Content doesn't need to be new. It needs to reach people who haven't seen it yet. 6. Build a swipe file of outlier content in your niche Use tools like Scripe or Taplio. Filter for top-performing posts by specific creators, keywords, or adjacent niches. 7. Mix "yolo" posts with ICP-targeted posts Personal storytelling brings people into your ecosystem. But min. 2 posts per week must address your buyer's pain points directly. 8. Carousels can 2x your impressions Images take up more space in the feed than text. More visual real estate = more people stop scrolling. 9. Repost your content 6 hours after publishing Delete yesterday's repost, publish today's piece, repost it by evening. This alone adds 15-20% extra reach across different time zones. 10. Repurpose your best hits every 2-3 months Slightly improve them each time. Add two more tools to your "top 10" list. The biggest predictor of a post exploding is the same format exploding before. 11. Reply to every comment in the first 30 minutes Engage for 15 minutes before posting to warm up your account. Then stay on the post and respond to everyone immediately after. 12. Expand the playbook to your team You can't publish 2+ posts/day without losing reach. But 24 people posting added $151K MRR in 90 days for us. Full session on YouTube where I build Nicolas Finet's entire LinkedIn strategy from scratch. 👉 Right here: youtu.be/9T_E_I9WHUg Make sure to follow Nicolas to view him get to 30K followers before EOY! P.S: I’m still looking for 3 people for whom I’ll build a free custom LinkedIn strategy. Only caveat: it needs to be recorded. Let me know below if you’re in 👇

We've built GTM systems for 267+ B2B companies. Most were running 20+ tools. They didn't need half of them. What they needed was the right tools in the right layers, connected to each other. Here's the 12-tool, 5-layer architecture we now build every system on: 1. Signal layer This is where buying intent gets detected. PredictLeads - tracks hiring surges, tech adoption, funding rounds, and news events across 100M+ companies Common Room - merges community signals, product usage, G2 intent, and job changes into one unified view Attention - lets you query your entire sales call history with natural language prompts Without this layer, you're guessing who to reach out to. 2. Data layer This is where raw signals become actionable contacts. Openmart- 200M+ local business records with verified owner contacts Wiza - converts LinkedIn profiles into emails, phones, and firmographics (up to 2,500 contacts per batch) Prospeo - 98%+ verified email accuracy across a 200M+ contact database FullEnrich - waterfalls through 20+ providers until it finds verified data (80%+ find rates) Apify - custom data extractor for anything the other tools don't cover Without this layer, your signals have no one to send to. 3. Action layer This is where outreach actually happens. Instantly.ai - high-volume cold email with full API control over campaigns, warmup, and deliverability lemlist - multichannel sequences combining email, LinkedIn, and calls The enrichment data decides the channel. LinkedIn URL found? Route to Lemlist. Email only? Route to Instantly. Without this layer, your enriched data just sits in a spreadsheet. 4. System of record This is where every touchpoint gets tracked. Attio - full CRM with API access to deals, contacts, companies, custom objects, and pipelines Every signal, enrichment result, and outreach event writes back here automatically. Without this layer, your team has no shared source of truth. 5. Revenue layer This is where the loop closes. Hyperline - handles billing, subscriptions, usage metering, and invoicing with webhooks for every payment event Without this layer, you're automating everything except getting paid. That's the full architecture: Signal → Data → Action → CRM → Revenue. Claude Code connects every layer by reading the API docs, writing integration scripts, handling errors, and retrying until the pipeline works end-to-end. No copy-pasting between dashboards. No manual handoffs between stages. No engineering team required. Which of these 5 layers is the biggest gap in your current setup?