automate rev.ops.

Your pipeline is already feeling your brand. You’re just not measuring it. Most revenue leaders still can’t answer a simple board question: “How aware is the market of us right now?” Not because the data doesn’t exist, but because most GTM systems were never built to capture awareness signals in a structured way. So brand stays trapped in impressions, screenshots, and gut feeling… instead of becoming something revenue teams can actually operationalize. Next Thursday, we’re hosting a small closed roundtable with Marcos Stu to discuss: → tracking awareness signals → connecting them to buying readiness → turning visibility into pipeline decisions Small group. No webinar-style pitching. Comment or DM me if you want the invite. — David Moreira Founder automaterevops.ai Clay Solutions Partners, Advanced Artisans

Your enrichment waterfall is probably lying to you. We saw it recently in a GTM system that looked solid on paper. Clean workflows, good targeting, multiple providers layered in. Everything you’d expect to work. It didn’t. Pipeline was flat. Replies low. Calls inconsistent. So the usual questions came up, is it the messaging? the offer? the team? It wasn’t. The issue was much simpler and much harder to spot: the data going in wasn’t good enough. Stale contacts, outdated roles, numbers that technically exist but don’t connect. Nothing obviously broken, just enough friction to quietly kill performance. That’s the part most teams underestimate. If your first data source is weak, your enrichment waterfall doesn’t fix it, it just passes the problem downstream. We’ve started approaching that layer differently. Instead of relying on enrichment to clean things up, we’ve been using Prospeo.io as the starting point, with access to 300M+ contacts that refresh on a 7-day cycle so the data is already verified and recently refreshed before it even enters the workflow. Emails and mobiles are triple-verified, so you’re not just getting data, you’re getting contactable data. It’s not a flashy change, but you feel it quickly. Fewer fixes, fewer inconsistencies, and a much clearer signal on what’s actually working. Higher accuracy at the top of funnel makes every downstream metric easier to trust. Before you tweak another campaign, it’s worth asking a simple question: is the problem really the system… or what you’re feeding it? That’s exactly what the Prospeo.io team’ll be unpacking live this Thursday. If your team is still spending hours cleaning data, validating contacts, or chasing leads that never should’ve entered the workflow in the first place, you’ll probably enjoy this one. Registration link in the comments 👇 — David Moreira Founder automaterevops.ai

I’ve been seeing MCPs everywhere lately and I think we’re entering a really interesting phase for GTM tools. Not because “AI writes better prompts” or any of that. More because AI is starting to interact with tools directly instead of just sitting beside them. The idea of talking to Claude and having it actually operate parts of your stack still feels a bit weird to me… but also kind of inevitable. Like: → pulling reports → moving leads between workflows → launching automations → checking CRM data → managing outreach flows all from a conversation. I was reading about the new GetSales.io MCP and it clicked a bit more for me. You can connect Claude directly to your workspace and basically manage parts of GetSales through chat instead of navigating the platform manually. Not saying this replaces operators or systems thinking obviously. But I do think the interface layer is changing fast. Feels like we’re moving from: “AI as assistant” to “AI as operational layer”. Still trying to understand where this actually becomes useful vs just cool tech though. Curious how other people are thinking about MCPs right now. → Are you experimenting with them already or mostly watching from the sidelines? — David Moreira Founder automaterevops.ai Clay Solutions Partners, Advanced Artisans

Quick update: we're moving to Friday Just a quick heads-up, due to a personal emergency, we've moved today's session to tomorrow: 📅 Friday, May 15th | 2:00 PM EST 🔗 Same Zoom link: https://lnkd.in/eBgynmGH Everything else stays the same: same content, same energy, same hour. Sorry for the last-minute notice and thank you for your understanding. Can't wait to see you Friday!

The part of building outbound that nobody talks about is the hour you lose before anything actually runs. Setting up context. Tuning messaging. Configuring campaigns. Adding prospects one by one. It's not the hard thinking. It's the clicking. And it compounds across every client, every account, every iteration. Extrovert just shipped something that changes this. They've launched an MCP server, which means you can now connect Extrovert directly to Claude or ChatGPT and manage the whole thing from a chat interface. Setup, campaigns, prospect qualification, style tuning. All from a conversation. Things you can now do in minutes instead of an hour: → "Here are my last 20 LinkedIn posts, update my context in Extrovert" → "Qualify these 50 prospects against my ICP and add them" → "Set up a nurturing campaign targeting fintech founders" We run outbound for multiple clients simultaneously. The time this saves at the setup and management layer is real. The tools that win from here aren't the ones with the best UI. They're the ones that disappear into how you already work. 👉 How much of your week is still spent configuring things that should already be running? - David Moreira Founder automate rev.ops.

I spent three hours last week troubleshooting a sequence that had everything right. The copy was sharp. The personalisation was on point. The timing was tested. Still sitting at a bounce rate that made no sense. Turned out we'd skipped the one step that makes everything else actually matter, proper email verification before the list ever went into the sequence. We'd been so focused on the messaging layer that we let the data layer become an assumption. Since then, we've locked in Icypeas as the verification step before anything touches a sequence. Bounce rates dropped. Deliverability improved. And their catchall verification opened up a segment we'd been ignoring entirely, contacts most tools flag as "unverifiable" and skip. The workflow didn't change. The results did. Sometimes the fix isn't the strategy. It's the unglamorous step you stopped questioning. → Data quality or message quality: which one do you think kills more pipelines? — Hey I'm Marcos Stu Founder automate rev.ops. Clay Solutions Partner, Advanced Artisan

Adding another tool won't fix your pipeline. And you already know that. We keep seeing the same pattern in B2B GTM teams right now. They have Clay. They have a CRM. They have an outreach tool. They have enrichment running. The stack looks exactly like it's supposed to look. And yet the pipeline conversation at the end of the quarter is still the hardest one in the room. Here's what's usually happening: each tool is doing its job, but nobody ever designed what connects them. What data moves where. What signal means what. What action gets triggered, by whom, with what context passed to sales. Without that logic, the stack runs in parallel, and a stack that runs in parallel doesn't produce pipeline. It produces activity reports. The fix isn't another tool. It's the architecture that sits between the tools you already have. We're doing a live teardown of exactly this next Thursday. → Join us live in the link in comments.

Your GTM stack is full. Your pipeline isn't. Most teams have the tools. What they're missing is the system that connects them, from signal to action to booked meeting. Next Thursday, we're doing a live teardown of what a working AI-powered GTM stack actually looks like in practice. No theory. No ideal-world scenarios. The real setup, built for lean B2B teams. What we'll cover: →Why most stacks produce activity but not pipeline →The connections that are almost always missing →What a signal-to-action workflow looks like when it works 📅 Thursday, May 14 | 2:00 PM EST → Register at the link in comments