Clay

Sculptor can analyze your customer data to surface patterns you'd never spot manually Here's what it does: 1️⃣ Instant ICP Analysis Drop in your customer list. Sculptor breaks down industries, company sizes, tech stacks, and revenue bands to show you exactly who you're winning with 2️⃣ Pattern Recognition at Scale "What do my best customers have in common?" Sculptor finds the commonalities across hundreds of data points — from firmographics to product usage signals 3️⃣ Actionable Insights → Targeted Lists Takes those insights and helps you build better prospect lists. No more guessing what "good fit" means We're basically giving you a data analyst that lives in your tables and helps you build smarter go-to-market motions Try asking Sculptor: 💬 Give me a breakdown of current customers in this table by employee count, revenue, deal size, and the number of credits spent 💬 What do these companies have in common, so that I can find more companies like them? 💬 I want to find more companies that look like this list of customers. what filters would you recommend searching with? 💬 Give me a breakdown by employee count, revenue, deal size, and the number of credits spent (from a table of customers) 💬 Analyze close / win rates by persona or industry (from a table of last year's opportunities, pipeline and deal stage) 💬 Give me a pipeline health score highlighting key areas of strength and weakness (from a table of all open opportunities and Gong summaries) Try it out today at clay.com.

GTM workflow broken? Alexander DeMoulin, Director of RevOps at Intercom, fixes that nonsense with a high kick and a smile. Every artist has a medium. Alexander had 15 years of ballet. Now he has Clay. "The Art of a Fight Scene" drops Monday 10/27.

Someone on your GTM team spends their days valiantly fighting the sloppy, mechanical, and menacing data nightmares that stand in the way of revenue. We called up kung fu filmmaker Pete Lee, a bunch of Oakland wrestlers, and GTM heroes like Shota Ono, Robert Jones at Canva, Caroline McCloskey, and Alexander DeMoulin at Intercom to give you a never-before-seen look at that fight. Coming to a LinkedIn post near you next week. 🤭🥊

Monthly photo dump. Here's some BTS at Clay. Shoutouts: Swayze magic (with Evan) A Head of Marketing locks in (Bruno) Epic slide "Mess = Bad" (by Manny, I think?) Identify, Activate, Attribute (by unidentified, drippy SCULPT attendee) B2B Boyband feat. Blake, Gabriel, and Matthew Quan Quick-draw demos, pew-pew (Lara) Camp counselor vibes (by Callie) Slack "hummus" (IYKYK)

~418 applicants... narrowed down to 8 qualified candidates... in under 5 minutes. We worked with our elite studio partner Matthew Iovanni (Partner at FullFunnel) to drop this video showing exactly how he automated their recruiting workflow using Clay and Otter.ai. Here's what they built: 1️⃣ Auto-imports applications from LinkedIn Recruiter Converts to CSV and pulls into Clay automatically 2️⃣ AI-powered resume screening Scans for specific skills, company experience, education - whatever criteria matters for the role 3️⃣ Otter ai bot handles first-round screens Candidates interview on their own schedule (no more calendar Tetris), and the bot scores each interview automatically 4️⃣ Hiring managers get comprehensive briefs By the time candidates reach the hiring manager, there's a full summary ready - screen recording, LinkedIn profile, fit scores Result: they hired 2 excellent candidates from those 8 finalists. Watch the full video on YouTube 📺️ ⬇️

💍 I’m so glad I said yes. Just wrapped up my first experience as a TA (Teaching Assistant) for the Clay 101 Cohort ✨ I had only just finished my own cohort journey, so when I was asked to TA, my imposter voice got loud. But my love for giving back to the community took over. So I said yes. Loved every bit of teaching and my own AHA-sprinkled learning journey: challenge → curiosity → tinkering → learning → inspiration. After years working across sales and marketing, I often wondered how to combine commercial focus and operational excellence with my love for deeply understanding customers and addressing their needs at scale. GTM Engineering might be the answer - uniting sales, marketing, and RevOps with AI and automation to drive real impact. Let’s be real: sales and marketing have little future without signals, personalisation (and I don’t mean Hey {{first name}}), and automation. And GTM Engineering, without that commercial foundation, won’t sail far on pure technical skills. Match made in heaven ⚭ 😀 Clay is the backbone of it all. It turns messy data into polished GTM workflows - like a magic Excel with 150+ data providers and endless creativity to help you personalise every customer touchpoint. Pottery for your pipeline🏺. If you’re in sales, B2B marketing, or revenue ops - check out the Clay 101 Cohort. In just 5 days I learned more than I did over months of using the tool. It’s not just learning - it’s community. Clay’s cohort model, inspired by Seth Godin 🌔's AltMBA, is not only clever from a business perspective, but it’s one of the most supportive and energising learning environments I’ve been part of thanks to Izzy Kim and the team. Teaching in the recent cohort was just as rewarding and fun as being a student - I’ve learned a ton. Kudos to fellow TAs – Leila Ergul Demir, Lindsey Fletcher, Paul Murray, Willy Hernandez, Ketan Awasthi, John T., Andrew Hull, Polly Morphew, and of course our captain Izzy ⛵️ As Aravind Srinivas said in a recent interview with Marina Mogilko about the value of education in the AI era: “The fundamental thing you learn in a PhD is learning to learn.” I couldn’t agree more. Except in this case – replace {{PhD}} with {{Clay-101-Cohort}} 🚀 Whether you’ve just discovered GTM Engineering, or have been using Clay for a while - check out the cohort and DM me if curious. P.S. No, it’s not a job - TAs volunteer their time. Just shows how much people love the tool and the strength of its community 🩵 #Clay #GTMEngineering #GMTE

We just dropped a brand new Clay University course on TAM Sourcing! Stop guessing. Learn how to map your entire addressable market, identify buying signals in real-time, and automate the systems that help you find your GTM alpha over and over again. Start learning now at Clay University. Link in the comments!

Is it just me or is like... everyone you know in Japan right now? #fomo

According to Fortune, 95% of AI pilots fail. asmbly.link/of06fNy Our friends at Hg (~$100Bn in AUM) are in the 5% -- having successfully deployed Clay and others throughout their portfolio companies. Here's what Hg's successful implementations all had in common: they followed a deliberate three-level sequence that most companies skip: 𝗟𝗲𝘃𝗲𝗹 𝟭 → Put AI tools like ChatGPT and Claude in people's hands. Train them properly. Watch what sticks. 𝗟𝗲𝘃𝗲𝗹 𝟮 → Take those wins and systematize them. Hire GTM engineers who can turn experiments into reliable workflows. 𝗟𝗲𝘃𝗲𝗹 𝟯 → Build net new capabilities. The stuff that gives you real GTM alpha—like predicting expansion opportunities 6 months before they're obvious. Skip a level and you'll end up with another failed pilot. Follow the sequence and you build sustainable competitive advantage. Read the whole comprehensive framework in the link below. ⬇️