Clay

computa, activate anti-eye burn sequence. would you like a dark mode toggle in Clay? 🖲️

Most lookalike lists (companies that look like your ICP) are a gamble. You feed in your best customers, swipe your credit card, and get back list of companies that don't match perfectly. That's why Clay + Ocean.io partnered up to reimagine lookalike search. Now in Clay, you can preview results before spending any credits. ✓ Live previews show you a sample pool before committing to anything. ✓ 12 new filters across 2.5M+ companies like web traffic, number of countries, and company size ranges allow you to tailor down results with precision. tl;dr: only pay for leads you love. 💕

GTM is now GMT. Thank you to everyone who roasted & raged with us in London. Full expansion story in the comments. Come build with us here: clay.com/careers (the party continues 👀)

Lead gen is sort of a drag. Can it be energizing, and maybe even fun? That's the unexpected pitch from Clay, the fast-growing software company moste recently valued at $5 billion, whose product has developed. a devoted According to Inc. Magazine's Jennifer Conrad, it "feels a bit like Airtable, HubSpot, and Yelp, all rolled into one" and has a fan base of companies that include so-called "claygencies" that come together in groups in markets around the world. “I think the best ideas were born of people having fun while they were doing the work,” founder Kareem Amin tells Inc. “What I mean is fun in the process of doing the work and not taking yourself too seriously. No matter what work you’re doing, you need to have a light touch.” To find out how this company in frankly a boring function has managed to excite customers, employees, and investors, check out Jennifer's article... https://lnkd.in/esGVjAJP

With thousands of customers and dozens of Clay Clubs already in Europe, we're buzzing to open our brand new London office (and even more excited to 𝘰𝘧𝘧𝘪𝘤𝘪𝘢𝘭𝘭𝘺 join the community that's been growing here all along). 🌍 European go-to-market teams face a handful of massive challenges between: - Fragmented data across markets. - Lower coverage rates. - Country-by-country buying playbooks. - And multi-language everything. But, we've seen firsthand how teams like Mistral AI, Lovable, Legora, ElevenLabs, and Terrapinn have made Clay the antidote. So far, here's what's been working for them: 𝟭/ 𝗜𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝘀𝘁𝗶𝘁𝗰𝗵𝗶𝗻𝗴 𝘁𝗼𝗴𝗲𝘁𝗵𝗲𝗿 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 𝗮𝗻𝗱 𝘁𝗼𝗼𝗹𝘀 ⤷ Clay lets you test and build with 150+ data providers (in one place without the SaaS bloat). 𝟮/ 𝗪𝗵𝗶𝗹𝗲 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 𝗺𝗶𝗴𝗵𝘁 𝗴𝗲𝘁 𝘆𝗼𝘂 𝟮𝟳–𝟱𝟬% 𝗺𝗼𝗯𝗶𝗹𝗲 𝗰𝗼𝘃𝗲𝗿𝗮𝗴𝗲 ⤷ Clay's waterfall lets you test and swap multiple providers BY REGION to get you to 75–88% mobile usability. 𝟯/ 𝗟𝗮𝘆𝗲𝗿 𝗼𝗻 𝘁𝗼𝗽 𝗰𝘂𝘀𝘁𝗼𝗺 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝘄𝗶𝘁𝗵 𝗖𝗹𝗮𝘆𝗴𝗲𝗻𝘁 (𝗼𝘂𝗿 𝘄𝗲𝗯 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗴𝗲𝗻𝘁) ⤷ Surface buying signals that don't exist in any database. VAT registrations, localized sites... in any language. With Europe already one of our fastest-growing markets, we're investing heavily to better serve the teams building here. We're starting with: 🏢 Our first international office in London 🕐 Expanded time-zone friendly support hours 📚 A wave of EMEA customer case studies dropping soon (stay tuned! 👀) 🎪 Continued support of Clay Clubs from Amsterdam to Zurich 🤝 New data partnerships with Lusha and Beauhurst, expanded partnerships with Dealfront and Openmart for deeper regional coverage, and more! This is going to be very very fun. Join us! Read our full blog post in comments ⬇️

Over the past year, partnering with Clay has fundamentally improved how we source and enrich data across Terrapinn. What used to take months and cost a fortune can now be done in minutes and at a fraction of the cost. And with far greater precision around our ideal customer profiles. With 90 events we have literally thousands of ICPs to manage. The result? Better quality outreach, stronger pipeline performance, and lower acquisition costs for our events. It’s a great example of how the right technology doesn’t just create efficiency, it drives meaningful commercial impact. And we are still at the beginning of Clay journey, lots more to come. You can read the full case study here: https://lnkd.in/eKBmXzeF Proud of the team and the progress we’re making Jaimie Featherstone Nicola Wartnaby Lilly Roessen Thanks to the team at Clay for the case study Leonela Serrano Stewart Hillhouse

A new role rapidly growing because of AI: GTM Engineer. 13x growth in 20 months. A role that barely existed 18 months ago now exists at 1.3% of companies in Pave’s dataset, and the adoption is accelerating quickly across the market. ________________ 𝗧𝘄𝗼 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝗻𝗴 𝘁𝗵𝗲𝘀𝗲𝘀 𝗮𝗿𝗲 𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗜 𝗹𝗮𝗯𝗼𝗿 𝗱𝗲𝗯𝗮𝘁𝗲 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄. –The Citrini thesis: “Payroll receipts [will] fall because fewer people are employed at prior compensation levels. Income tax receipts [will] fall because the incomes being earned are structurally lower. Productivity [will] surge, but the gains [will] flow to capital and compute, not labor.” –The Citadel thesis: “It seems more likely that AI will be a complement rather than a substitute for labor in many areas.” For today, let’s lean into one example where AI is creating roles, not killing them: 𝗧𝗵𝗲 𝗚𝗼-𝘁𝗼-�?𝗮𝗿𝗸𝗲𝘁 (𝗚𝗧�?) 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿. ________________ 𝗧𝗵𝗲 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Pave’s data science team took a look at what percentage of its 9,600+ clients include at least one employee with the title “GTM Engineer” (or similar). And then they mapped this onto a time series to see the overall trend. ________________ 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: 1️⃣ The GTM Engineer role is on the rapid rise from 0.10% of companies as recently as May 2024 to 1.30% in January 2026. The trend line was mostly flat until late 2024 at which point it quickly inflected. 2️⃣ Meanwhile, I would also call out that it’s still a very small group of “early adopter” outlier companies that are adopting “GTM Engineers” on their org charts. But these early adopters can become the norm fast. And the general concept of embedding AI-skilled engineers within GTM teams could extend to other job families as well. If 1.3% of companies have GTM Engineers today, what does 10% look like? And what does that mean for how sales and marketing teams are structured?

"I used to describe Clay as a smart spreadsheet. We're past that now." 🤝🏼 That's Tim Bourcier, RevOps & Marketing Lead at Merge (a company with thousands of integrations across eight product categories). 𝗧𝗵𝗲𝗶𝗿 𝗽𝗿𝗼𝗯𝗹𝗲𝗺: outbound that actually fits the use case, across every integration category—without building a 50-person GTM team. 𝗪𝗵𝗮𝘁 𝘁𝗵𝗲𝘆 𝘄𝗶𝗿𝗲𝗱 𝘂𝗽: 1️⃣ Tailored messaging that doesn’t sound copied or cringe ↳ 50,000+ accounts enriched with messaging mapped to each of the eight integration categories 2️⃣ A weekly “what changed?” signal sweep ↳ An AI agent scans 1,500 enterprise accounts for product signals. Then it drafts outreach and hands it to reps 3️⃣ The anti-spreadsheet event engine ↳ Sourcing, lead capture, attendee briefings, follow-up, attribution... run end-to-end by one person 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: response rates were ~20% better on enriched accounts, enterprise meetings booked climbed ~15%, and marketing events moved from 2x pipeline-to-cost toward 5x. 𝗧𝗶𝗺 𝗽𝘂𝘁 𝗶𝘁 𝗹𝗶𝗸𝗲 𝘁𝗵𝗶𝘀: “I have data in Salesforce, transcripts in Gong, leads coming through Slack. With Clay I can connect all of it, add a layer of AI, and have a system driving real impact in 10 minutes.” 𝗧𝗵𝗲 𝘁𝗵𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗶𝘁 𝗮𝗹𝗹 𝗰𝗼𝗺𝗽𝗼𝘂𝗻𝗱: every workflow writes back to the same infrastructure. Account intelligence sharpens outbound. Customer health signals flag expansion. And event attribution justifies the next spend. HUGE thank you to Tim and the Merge team for sharing their story! Full write-up below ⬇️