Alessandra Colaci

People often ask me whether they should use Common Room or Clay (or another signal-based selling platform). My answer is evolving because the GTM AI landscape is shifting so quickly (new signals, workflows, features). Every few months, the category looks different than it did before. Which makes it hard for teams to feel confident in their tooling decisions, especially when many buyers still treat Common Room and Clay as if they're interchangeable. Here's my 2c on the differences and how you should evaluate using one, versus the other (or both!).👇 1. I think both are great :) Really, I do. 2. They are apples and oranges, but have some overlapping use cases (maybe 20%). 3. Clay takes the approach of centralizing GTM data/strategy/orchestration (via a GTM Engineer building Clay tables) to run plays. While Common Room has built a product that RevOps, SDR Leaders, or even reps can use. 4. Common Room has a UI for reps to work out of; Clay does not. So if you're looking for a place for reps to work out of, CR is the right choice, not Clay. 5. Common Room is incredibly easy to set up and use (takes 10 minutes to learn). Clay is difficult to use (I say it takes 50+ hours to become an expert at Clay — which is why Claygencies exist). 6. Clay is more flexible/powerful (horizontal), while Common Room is more opinionated (off-the-shelf Plays are super easy to spin up). 7. If you don't have the resources (employees in-house, or money to outsource) to use Clay, Common Room is a great product. 8. But again, they are apples and oranges. And many companies should — and do! — use both Common Room and Clay at the same time. I'll be presenting on the differences (and quickly evolving changes) between Common Room and Clay on a webinar where we'll discuss: - How the GTM AI category is evolving - Where Clay fits vs where Common Room fits - When the “use both” answer actually makes sense - How to evaluate tools in a market that changes quickly Come hang! https://lnkd.in/dYPEB3v6

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What are good Apollo.io alternatives? Disappointed in the product and their AI support. Need about 50% of the functionality. Would love to hear thoughts from GTM professionals.

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Your PMM role is changing: How to build human+AI workflows that define what's next That's what I'll cover on April 1 at Product Marketing Alliance's Product Marketing Summit in Denver. I will show HOW I guide AI live using various AI platforms. Your launch campaign workflow could connect positioning, messaging, content, and sales enablement in one flow. Your sales enablement workflow could build pitch decks, dynamic sales prep dashboards, and interactive ROI calculators. This becomes possible when you move from using AI to building with it. The PMM's job is changing. Trailblazing PMMs are building AI teammates trained on their expertise, connecting them into workflows across functions, and deciding how humans and AI work together. They're writing the new job description themselves. You'll see real workflows for product launches and sales enablement, and a tool that helps you identify which workflows to build and which AI teammates to connect. You'll learn: ► How to find workflow ideas and decide which are worth building for PMM work ► How to design workflows that create new value, not just speed up existing processes ► How to evolve your role from AI user to builder and orchestrator Looking forward to learning from an insightful line-up of speakers on April 1-2. Come join us. See link in comments for more info and to register.

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LLMs can reflect on their own thinking. 🤯 That’s the takeaway from Anthropic’s latest research, which has big implications for builders. Why does this matter? Because if an LLM can evaluate it's own thought processes, it can also start to explain WHY it acted a certain way. That’s a huge step toward diagnosing and improving complex agent systems. I've been experimenting with this intuitively - e.g., asking a model why it ignored an instruction or made up a source. It's never been totally clear to me whether the answers reflect true introspection or just a creative rationalization for past behavior. But at least they've offered some valuable ideas to test, and in my n=1 experiments have yielded some tangible improvements. Anthropic’s findings suggest this isn’t just a fluke: Claude models seem to show genuine, measurable awareness of their own internal states, at least some of the time. It's just a fascinating direction for anyone exploring AI transparency, agent reliability, or who just loves to geek out on this stuff. What a time to be alive. https://lnkd.in/gG5nFh6n

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6 Comments

GTM isn’t volume. It isn’t a funnel. It’s a system⚙️ - an architecture, at least for me. Sure, volume plays its part. But without structure, it’s just noise. The real magic happens when every part of your GTM Research, Signals, AI, Making it Relevant, etc connects in a loop that brings Message–Market Fit. AI sits at the center, not to automate blindly but to connect dots, uncover insights, and amplify what actually matters. Because when your GTM engine sells, you stop chasing metrics and start compounding momentum. 👇 That’s my architecture - less about fancy stuffs, more about making it relevant.

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Your CRO audit will change nothing. Here's why: You're auditing technical things. Site speed. Mobile responsiveness. Button colors. Checkout flow design. Tool integrations. These aren't strategic audits. They tell you nothing about why customers don't convert. Here's what you should actually audit in 2026: Do you know WHY customers don't convert? Not where they drop off. Why they drop off. Session replays showing hesitation. Customer interviews revealing friction. Behavioral data identifying patterns. If you don't have this, you're guessing. Everything else is built on assumptions. Are your testing priorities driven by research or opinions? Is your roadmap built on what customer research shows matters? Or what stakeholders think looks broken? Opinion-driven prioritization fails. Data-driven prioritization works. Can your organization actually execute your testing program? Fast approval processes. Clear authority to implement changes. Aligned incentives around accurate results. Bandwidth to run research before testing. If you're copying advanced testing programs without this foundation, you're setting yourself up to fail. Are you measuring what matters? Primary conversion metrics. Statistical significance. Testing integrity. Not vanity metrics that look good in reports but don't drive revenue. False positives from stopping tests early cost more than losing tests. Do you have all three pillars? Patterns from research. Proof from testing. Perception optimization at decision points. Most brands only have one. You need all three working together. Generic checklists give you generic results. Strategic audits reveal what's actually broken for your specific business. Start 2026 by auditing what actually matters.

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Is SaaS dead, or at least dying quickly? Ben Griswold and I explore this question in detail in our latest podcast. From positioning build vs. buy as a continuum rather than as a binary choice, to the potential created by rapid AI builds, we consider the evolution and future of SaaS. Apple: https://lnkd.in/eKKnB6Ae Spotify: https://lnkd.in/eezEuH35 YouTube: https://lnkd.in/ep8si5qP

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Great post from Daniela Howard on how AI will transform digital products and what the next generation of personalization technology needs to deliver

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"How to close more pipeline in 2026?" is the #1 question we answer now for B2B tech leaders we help grow at Rampiq. 2 things are top of mind for brands: 1. Pipeline 2026 2. Pipeline 2027 And these are 2 completely different motions. For 2026: -- there's still time to move deals in Q4 -- the focus shifts from net new to activation -- the marketing function is seen as "help us close" But the real build for 2027... it starts now: -- budget planning prep -- target accounts refreshers -- positioning and offers updates And that's a lot to handle. If you're torn between being asked to help sales close your pipeline AND building a solid GTM plan for 2027 single-handedly... That's exactly the problem we solve for B2B tech brands and marketing leaders. Curious: what's the biggest pressure point for your pipeline now?

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