June 29, 2026

Monday.com's AI agents generate millions in pipeline.

<div><h2 style="text-align: center;margin-top: 1px;margin-bottom: 1px;">GTM Insights from The GTM Studio</h2><hr noshade="" size="1" style="margin-bottom: 5px;" width="100%"><h2 style="margin-top: 5px;margin-bottom: 5px;">Greetings...</h2><p style="">Big couple of weeks. Every quarter, The GTM Studio hosts Clay Club in Singapore. 50+ GTM folks showed up to network and learn how Clay accelerates pipeline generation. Pictures on <a class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://www.linkedin.com/posts/charlestidswell_great-evening-last-with-clay-club-singapore-activity-7476112653501829120-_3Px?utm_source=share&utm_medium=member_desktop&rcm=ACoAAACSy0EBN-L0NZPFr13MrjF_3EO7RSkKG-4" rel="noopener noreferrer nofollow" target="_blank">LinkedIn</a>. GTM is gaining serious traction in the region across both sales and marketing. Interestingly, 100% client side, no agencies. The energy was electric: question after question after question.</p><hr noshade="" size="1" style="margin-top: 10px;margin-bottom: 12px;" width="100%"><h2 style="margin-top: 5px;margin-bottom: 5px;">Insights....</h2><h3 style="">🤖 <a href="http://monday.com" rel="noopener noreferrer nofollow" target="_blank">monday.com</a>'s AI Agents Generated Millions in Pipeline Last Quarter</h3><p style="">This rocks, and is a must read. <a href="http://monday.com" rel="noopener noreferrer nofollow" target="_blank">monday.com</a> built an internal AI startup called RevAI that now handles 100% of English inbound "contact sales" flows. <strong>Response times dropped from 24 hours to under 2 minutes.</strong> Their trial activation agent "Jax" drives 2.5x conversion versus the control group, handling 3,000+ monthly calls. An account research agent called <strong>"Oscar" compresses tasks that took reps 1 to 2 weeks into roughly 5 minutes.</strong> The team rebuilt their agent architecture four times in under a year, evolving from single agent to multi agent to deterministic flows to agents as code. The lesson: deploy at 60% readiness and iterate.</p><p style=""><a class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://www.growthunhinged.com/p/what-ai-native-gtm-looks-like-at-public-company-scale" rel="noopener noreferrer nofollow" target="_blank">Read more here</a> (Growth Unhinged)</p><hr noshade="" size="1" style="margin-top: 5px;margin-bottom: 5px;" width="100%"><h3 style="">🔧 The Building Blocks of a Winning GTM Engineering System</h3><p style="">Clay's Kareem Amin lays out a four layer framework for GTM engineering: data, orchestration, execution, and agents. The differentiator is the agentic layer that autonomously handles abstract goals, creating compounding gaps between teams that build systems and those that run plays. Real numbers back it up. <strong>Intercom grew outbound pipeline 140%</strong>. Rippling doubled cold email performance. <strong>Klaviyo enriches 900K+ records across Salesforce and Snowflake</strong>. The piece argues that <strong>GTM engineering </strong>is no longer experimental. It <strong>is now the structural foundation for how modern revenue teams operate</strong>.</p><p style=""><a class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://www.clay.com/blog/gtm-infrastructure" rel="noopener noreferrer nofollow" target="_blank">Read more here</a> (Clay)</p><hr noshade="" size="1" style="margin-top: 5px;margin-bottom: 5px;" width="100%"><h3 style="">📊 GTM Developer Tools Are Eating GTM Tech</h3><p style=""><strong>Great article. The infographic on the solutions and tools is worth the click.</strong> Adam Schoenfeld maps a new category forming in real time: GTM developer tools. With 400+ GTM engineers now at US digital natives (doubled headcount) and 120K+ job posts referencing Claude Code, the buyers have changed. <strong>Traditional SaaS must go headless (CLI, API, MCP) or become invisible to the builders now running the stack.</strong> Schoenfeld tracked 400+ tools across 8 categories and published a downloadable market map. The thesis: <strong>agents are becoming the center of the GTM stack</strong>, and the tools that serve them look nothing like the dashboards that came before.</p><p style=""><a class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://adamgtm.com/p/gtm-developer-tools-are-eating-gtm-tech" rel="noopener noreferrer nofollow" target="_blank">Read more here</a> (Adam GTM)</p><hr noshade="" size="1" style="margin-top: 5px;margin-bottom: 5px;" width="100%"><h3 style="">📈 Ads in ChatGPT Are Coming: What B2B Marketers Should Do Right Now</h3><p style="">We all know it's here, but here are the facts. AI has flooded search, email, and social with more content, and the cost is showing. <strong>LinkedIn CPMs rose from $20 to as high as $800 in 18 months.</strong> The opportunity for GTM engineers: target B2B audiences on B2C platforms where competition is lower. Meta audience match rates hit 80% with tools like Primer versus 2 to 10% with traditional targeting. Reddit delivers 70% match rates. The next frontier is ads inside LLMs like ChatGPT and Perplexity. For teams spending $10K+ monthly on paid, the channel allocation playbook needs a full rethink.</p><p style=""><a class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://gtmnow.com/gtm-195-b2b-paid-advertising-strategy-keith-putnam-delaney-primer/" rel="noopener noreferrer nofollow" target="_blank">Read more here</a> (GTMnow)</p><hr noshade="" size="1" style="margin-top: 10px;margin-bottom: 12px;" width="100%"><p style="">⚡ 12 Ways Top Outbound Teams Turn AI into Pipeline</p><p style=""><strong>GOLD</strong>! Most SDR teams using AI hit roughly the same quota as those that do not. The difference: the top teams point AI at two jobs, making conversations more relevant and giving reps more time to have them. Elric Legloire unpacks 12 use cases from 16 companies including Snowflake, Ramp, ClickUp, and ElevenLabs. Snowflake's <strong>AI drafting pipeline boosted reply rates from 0.5% to 7.6% across 55,000 prospects.</strong> ClickUp's reps went from <strong>35 to 150 calls a day without losing quality</strong>. Vercel collapsed <strong>10 inbound SDRs to 1 reviewer with 32x ROI.</strong> The piece maps signal interpretation, account research, AI role play, and custom data building as distinct system layers.</p><p style=""><a class="underline underline underline-offset-2 decoration-1 decoration-current/40 hover:decoration-current focus:decoration-current" href="https://newsletter.outbound.kitchen/p/12-ways-top-outbound-teams-turn-ai" rel="noopener noreferrer nofollow" target="_blank">Read more here</a> (Outbound Kitchen)</p><hr noshade="" size="1" style="margin-top: 5px;margin-bottom: 5px;" width="100%"><p style="">That's a wrap for this week folks. Remember, we only want to share insights we can relate to or have experience with. Quality over quantity.</p><p style="">Thank for reading. See you soon 🙂 </p><hr noshade="" size="1" style="margin-top: 5px;margin-bottom: 5px;" width="100%"></div>