The number and the method are two different jobs
A forecast has two owners because it has two failure modes. Sales leadership owns the committed number, which is the figure the board and the finance plan are built on. Revenue operations owns the process and the model that produce it. When one team holds both, the forecast becomes an opinion with a spreadsheet attached, and after a miss nobody can separate weak execution from weak method.What revenue operations owns
RevOps owns the mechanics of sales forecasting. That covers stage definitions and exit criteria, the rules that decide what counts as pipeline, the snapshot cadence that makes this week comparable to last week, and the model that converts open opportunities into an expected number. It also covers the audit trail. If a deal moved from Commit to Best Case, the record should show when it moved and who moved it.
Hygiene rules belong here too, because they have to hold across every rep and region instead of being renegotiated deal by deal. ORM counts meaningful activity on an opportunity as a change in stage, close date, or amount, and applies a 12-month rule to opportunities that have gone quiet. A rule like that is an operations decision, not a rep decision.
What sales leadership owns
Frontline managers own deal-level judgment. They decide whether a deal belongs in Commit, and they carry the consequence when it does not close. The VP or CRO owns the rolled-up submission and answers for it in the forecast call.
Leadership also owns the coaching that comes out of the numbers RevOps publishes. A rep who lands consistently short of their own call has a qualification problem. A rep who sandbags has an incentive problem. Both are management work, not analytics work.
Where ownership breaks
The common break is the silent override. A leader adjusts the number based on gut feel, leaves no reason behind, and the next quarter starts with no record of whether the adjustment helped. Record every override with a rationale and grade it after close.
The second break is a model nobody in sales can explain. If a rep cannot see why their deal was scored the way it was, they will work around the system and the forecast will drift back into spreadsheets.
The third break is effort. ORM data puts typical accuracy on new and expansion business near 90%, and reaching that takes heavy manual work that goes stale as market conditions change. ORM targets 95% and holds it from day 1 to day 90 of the quarter without manual adjustment. The point of clear ownership is that the model carries the repeatable load so leadership can spend its attention on deals. For the build sequence, see how to create a sales forecast and the mechanics behind forecast accuracy.
Frequently Asked Questions
Does RevOps or sales own the forecast?
Both, on different objects. Sales leadership owns the committed number and answers for the miss. Revenue operations owns the stage definitions, hygiene rules, snapshot cadence, and model that turn open pipeline into an expected number. Handing both to one team removes the check that tells you whether a miss came from execution or from method.
Should the CFO own the forecast?
No. Finance consumes the sales forecast and reconciles it to the plan, but finance sits too far from deal-level reality to own the call. The healthier arrangement is that finance sets the planning assumptions, sales commits the number, and RevOps supplies the version of the truth both work from.
Who owns forecast accuracy as a metric?
Revenue operations owns measuring and reporting it. Sales leadership owns improving it. RevOps publishes accuracy by rep, by manager, and by segment on a fixed cadence, and leadership uses the pattern to coach the people who are consistently long or short.
What happens when a leader overrides the model?
The override should be recorded with a reason and reviewed after the quarter closes. Overrides are legitimate, since a person can know something the data has not seen yet. The problem is unrecorded overrides, because you lose the ability to tell whether human judgment is adding accuracy or subtracting it.
Put these metrics to work
ORM builds custom revenue forecast models that turn concepts like who owns the sales forecast? into prescriptive action for your team.
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