Revenue operations practice

Revenuestalls beforesales does.

Pipeline health, forecast accuracy, CRM discipline, and the handoffs between marketing, sales, and customer teams. We build the operating structure that lets revenue scale, and fix what is limiting it.

It looks like a sales problem. It rarely is.

Revenue misses put pressure on sales leadership first: new quota, new territories, new head of sales. Most of the time the constraint sits underneath. A forecast nobody trusts. A pipeline full of deals that will never close. CRM data that cannot answer basic questions. Marketing handing over leads sales ignores. Compensation that rewards the wrong behaviour.

Our leadership team has built and run revenue organizations from the inside, through scale-ups and public companies. We know what the structure has to look like for growth to hold, and we build it with your team rather than describing it to them.

30 to 40%Of RevOps time typically spent aggregating data by hand before we automate it
±10%Forecast accuracy target at quarter end, and the discipline to hit it
OneSource of truth for pipeline, forecast, and capacity across the revenue team
What we do
01

Pipeline and forecast diagnostic

Stage definitions, conversion rates, velocity, coverage, and the gap between forecast and actual over the last eight quarters. What the pipeline is really worth.

  • Stage and exit criteria review
  • Conversion and velocity analysis
  • Coverage and capacity model
  • Forecast accuracy history
  • Deal hygiene rules
02

CRM and data foundation

The system is only as good as the data in it. We fix the fields, the process, and the reporting so the numbers can be trusted, then automate the aggregation your team does by hand.

  • Data model and field clean-up
  • Process and automation design
  • Reporting and dashboard rebuild
  • Automated pipeline and forecast reporting
  • Integration review
03

Marketing, sales, and customer handoffs

Lead definitions, SLAs, routing, and the feedback loop. Expansion and renewal motions that customer teams own. The seams are where revenue leaks.

  • Lead definition and SLA
  • Routing and response
  • Account and territory design
  • Expansion and renewal motion
  • Shared KPI framework
04

Compensation, capacity, and cadence

Incentives aligned to the plan, capacity modelled against it, and a weekly operating rhythm that keeps forecast, pipeline, and performance visible.

  • Compensation and incentive review
  • Capacity and quota model
  • Weekly and monthly operating cadence
  • Leadership reporting pack
How it runs
01

Diagnose

Three weeks in the data and with the team. Where revenue is actually stalling.

02

Design

The structure, process, and cadence that fit the plan. Agreed with sales, marketing, and finance.

03

Build

CRM, reporting, automation, and handoffs rebuilt with the team, not for them.

04

Run

We stay through two forecast cycles until the numbers hold.

Common questions

Straight answers.

Is this a CRM implementation?

No. We work with the CRM you have. Most revenue problems are process and definition problems that show up in the CRM, not CRM problems.

How is this different from hiring a RevOps leader?

We are often the bridge to that hire, or the senior capacity a first-time RevOps leader needs. We build the foundation, then hand it to whoever runs it.

How quickly does forecast accuracy improve?

Two forecast cycles is usually enough to see the gap close materially, once stage definitions and deal hygiene are enforced.

What does the forecast say, and do you believe it?

Fifteen minutes. We’ll tell you where we would look first.