GTM misalignment is one of the most expensive and least visible problems in a SaaS revenue organisation. It's expensive because it causes leads to go cold at handoffs, deals to close on wrong-fit customers, and churn to accelerate in the first 90 days. It's invisible because every team is doing their job well — by their own definition of their job.

The moment I walk into a new engagement, I ask three people to define "qualified lead." The Marketing VP, the VP of Sales, and the Head of Customer Success. I have yet to get the same answer twice.

Why Three Teams Are All Doing the Right Thing (And Still Failing)

Marketing's reality

"We're generating leads that match our ICP. High engagement scores. Budget confirmed. Decision-maker conversations initiated."

Sales's reality

"The leads Marketing sends aren't ready to buy. They need six months of nurturing. We're wasting time on demos that go nowhere."

CS's reality

"Sales closes deals we can't deliver on. Customer expectations are set wrong. We spend the first month managing disappointment."

All three perspectives are accurate. The problem isn't performance — it's the absence of a shared operating model. Each team has built their own definitions, their own metrics, and their own version of the customer lifecycle. Where those definitions don't match up, friction lives. And friction costs money.

The Three Handoffs That Break Most Often

1 The MQL → SQL handoff

Marketing hands a lead to Sales and considers it a win. Sales picks it up, does one call, can't find budget or urgency, and marks it lost. Marketing's MQL volume looks great. Sales's conversion looks terrible. Both numbers are real — and both are meaningless in isolation.

The real problem: MQL was never defined as "likely to convert in this quarter." It was defined as "engaged with our content and matches firmographic criteria." Those two things are not the same.

Fix: Define MQL in terms of Sales outcomes, not Marketing metrics. A lead isn't Marketing Qualified until it meets criteria that Sales has validated as predictive of conversion. Run a 90-day audit: what percentage of MQLs became SQLs? What did the ones that converted have in common? Rebuild the MQL definition from that data.

2 The SQL → Closed-Won handoff to CS

Sales closes the deal. The AE moves on to the next pipeline. CS picks up the account and discovers the customer was sold a feature that doesn't exist yet, a timeline that isn't realistic, or a use case that doesn't match how the product actually works.

This isn't a Sales integrity problem — it's a handoff structure problem. There's no formal mechanism ensuring the commitments made in the sales process are captured and transferred to the team responsible for delivering on them.

Fix: Implement a structured Sales-to-CS handoff template that travels with every deal. It should capture: what was promised, what success looks like from the customer's perspective, key stakeholders, any open concerns, and the agreed-upon onboarding timeline. CS should have input into what that template captures.

3 The expansion and renewal signal

CS identifies an expansion opportunity. It sits in a spreadsheet or a CS tool that Sales doesn't have access to. Sales is cold-calling existing customers about upsells that CS already had in flight. The customer feels the friction — and concludes you don't have your act together.

Fix: Build a shared definition of expansion triggers — specific product usage signals, engagement milestones, or relationship events that indicate expansion readiness. Whoever owns those signals (CS, Sales, or shared) should be documented, agreed upon, and visible in the CRM to all parties.

The underlying issue in all three cases is the same: each function has optimised for their own metrics, not for the customer's experience of moving through your system. Alignment happens when you optimise for the through-line — the customer journey — not the function-level scorecard.

Building the Shared Operating Model

The fix isn't a meeting. It isn't an all-hands presentation about "working better together." It's a documented, CRM-enforced operating model that defines:

When this model lives in the CRM — not in a slide deck, not in a shared doc, but enforced by the system itself — alignment stops being a cultural aspiration and starts being an operational reality.