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Everyone Said They Did RevOps. Almost Nobody Actually Did.

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RevOps doesn’t need an introduction anymore. By now, most go-to-market leaders can recite the definition in their sleep: align marketing, sales, and customer success around a single revenue goal, break down the silos, build one coherent customer journey from first touch to renewal.

The concept is solid. The execution record is not.

I spent years running an inbound marketing agency as a HubSpot partner, which meant I was in the room when clients went through the RevOps adoption process. I watched the cycle repeat itself enough times that I can describe it almost exactly.

Month one: excitement. They’d seen the framework, bought into the vision, and were ready to fix the misalignment that had been costing them for years. Month three: a new tool, a new dashboard, sometimes a new hire with “RevOps” in the title. Month six: the same handoff problems, the same data disagreements, the same friction between marketing and sales, just with more expensive software running in the background.

The tools were never the problem.

What RevOps Actually Requires

The hard truth about Revenue Operations is that it doesn’t fail in the technology layer. It fails in the conversation that has to happen before you touch any technology, you know, the one where marketing, sales, and customer success sit in the same room and agree on what a qualified lead actually is.

That conversation is harder than it sounds. Each team comes in with a different definition of success, a different set of metrics, and a different understanding of who owns what at which point in the funnel. Marketing is measured on MQLs (I’d argue it should have been Sales Accepted Leads (SALs)). Sales is measured on closed deals. Customer success is measured on retention. Nobody’s wrong by their own measure — but nobody’s measuring the same thing.

After my agency, I joined Digitopia Agency, where they’d developed a framework specifically designed to force that conversation. We’d get all the key leaders in the room, work through goals, definitions, and handoffs over four to six weeks, then spend another three to four finalizing the architecture and rollout. It was one of the more well-constructed processes I’ve worked with — structured, deliberate, and it produced genuine alignment, not the performed kind.

And then most clients didn’t want to pay for us to stay.

The Org Problem Nobody Wanted to Solve

That pattern — good framework, real progress, exit the consultant — is exactly why RevOps has such a disappointing track record. The work of getting aligned isn’t the hard part. The hard part is staying aligned when priorities shift, leadership changes, or a down quarter puts pressure on everyone to revert to their own metrics.

In my experience, RevOps almost always ended up owned by Sales. And the moment it did, it stopped being Revenue Operations and became Sales Operations with more pizzazz and fancier titles. The tools got reconfigured around Sales priorities, the shared definitions quietly reverted to pipeline metrics, and everyone else went back to measuring what they’d always measured.

Real RevOps requires executive ownership above all three teams — a leader who holds marketing, sales, and CS accountable to the same revenue number and has the authority to make the hard calls when priorities conflict. In most organizations, that person either doesn’t exist or doesn’t have the will to enforce the alignment past the initial momentum. Companies were willing to pay for the framework. They weren’t willing to pay for the accountability. And accountability is the only thing that makes the framework stick.

Why This Matters More Right Now

Here’s where it gets urgent. AI is now entering the go-to-market stack at breakneck speed, and every major platform is selling the promise of automated revenue intelligence, predictive scoring, and AI-driven pipeline management.

For companies that actually did the foundational RevOps work — shared definitions, unified data, real executive alignment, AI is a genuine accelerant. The model has clean data to work with and a coherent view of the customer journey. The results are real.

For companies that never did the alignment work, AI is about to make their problems significantly worse. Automating a fragmented funnel doesn’t fix it. It amplifies the fragmentation. You end up with more confident-looking bad decisions, delivered at greater speed.

The gap between organizations that got RevOps right and those that didn’t was already widening. AI is about to make it a gulf.

Where to Start If You’re Honest About Where You Are

Most organizations know they haven’t gotten this right. The data doesn’t reconcile, the handoffs still break at the same points, and the dashboards tell different stories depending on who pulled them.

If that’s where you are, the first move isn’t a software audit. It’s a conversation. A tough one. The one where your marketing, sales, and CS leaders sit down without their data to defend and answer two questions: What do we actually agree on? And where do our definitions diverge?

The answers will be uncomfortable. They’ll also tell you more about your go-to-market operation than any tool assessment ever will.

RevOps was the right idea. Most companies just opted for the easier version, aka, the one you could buy in a box. The real version requires something harder: the willingness to change how your organization makes decisions before you change the technology that supports them.

That work doesn’t have a product page. But it’s still the only thing that actually works.

 

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