The misalignment between marketing and sales is one of the most expensive recurring problems in B2B. Marketing counts MQLs; sales ignores them. Attribution disputes consume meeting time. Executives reconcile three versions of the same number before the board presentation. Revenue operations, or RevOps, is the organisational response: a function that places marketing, sales and customer success under a shared operating model, with unified data, common definitions and pipeline metrics everyone is accountable to.

This is not a new concept, but it has reached a tipping point. The VP of RevOps role has grown roughly 300% over the past 18 months by some measures, and the RevOps software market is on a trajectory to exceed $15bn by the early 2030s. More substantively, Forrester’s research found that companies led by top-performing revenue operations achieve annual revenue growth around 11%, against under 1% for laggards. The gap is real and it is widening.

What RevOps actually builds

The first thing RevOps builds is a single source of truth. That sounds like a dashboard problem; it is actually a definitions problem. What counts as an MQL? When does an opportunity enter a pipeline stage? How is expansion revenue attributed? Until those questions have agreed answers that are enforced consistently across every tool in the stack, marketing and sales are measuring different things regardless of whether they share a screen. A CRM audit is typically the first step, because the CRM is where most data inconsistencies originate and where misalignment compounds fastest.

The second thing it builds is aligned process. Documented handoff criteria, SLAs for how quickly a marketing-qualified account gets a sales response, feedback loops between sales and marketing about the quality and readiness of what comes through — these are the mechanics that turn shared intent into shared execution. Without them, the shared definitions sit in a spreadsheet and the old behaviours continue in practice.

The third, increasingly, is AI governance. As AI agents take over lead routing, sequencing and pipeline scoring, someone has to own the quality of the data going in and the decisions coming out. In 2026, the RevOps function is increasingly that owner — which makes data integrity a RevOps KPI alongside pipeline coverage and forecast accuracy.

Why it is harder than it sounds

The honest difficulty is political. Marketing and sales teams have separate histories, separate tools, separate incentive structures and, often, a mutual suspicion hardened by years of blaming each other for missed targets. RevOps asks them to share definitions, share dashboards and share accountability for outcomes neither fully controls.

The practical starting point is to pick the metrics that cross the boundary cleanly — pipeline sourced by marketing, pipeline velocity, win rate from marketing-originated opportunities — and build the measurement infrastructure around those before addressing anything else. Teams that try to boil the ocean, unifying everything at once, tend to stall. Teams that pick three pipeline metrics and instrument them properly tend to build the trust that makes broader alignment possible.

What it means for a B2B marketing team

The cleanest implication is this: the shift from MQL volume to pipeline metrics is only sustainable if it happens inside a RevOps structure. Without shared definitions and shared infrastructure, marketing can change its own measurement but sales will still evaluate marketing by the old metrics, and nothing will have actually changed. RevOps is the operating model that makes the measurement shift stick.

The open question is whether companies that have invested in RevOps infrastructure treat it as the end state or the beginning. The function that started as a reporting and dashboard layer has become an execution layer that runs AI agents, owns data governance and is directly accountable for pipeline. The teams that stay ahead are the ones that have built it to do the latter.