Revenue operations (RevOps)
Revenue operations is the governing function that enforces coherence across marketing, sales, customer success and finance by owning shared definitions, data models, process boundaries and change control.
RevOps is frequently described as the merger of three ops teams. That describes a reporting structure, not a function. The functional definition is governance: RevOps owns the substrate that every revenue-facing team depends on, and it is accountable for that substrate remaining consistent as each team changes independently.
Governance does not mean taking ownership away from functions. Marketing still owns demand, sales still owns pipeline, finance still owns the ledger. RevOps owns the definitions those teams share, the boundaries between them, and the process by which changes to either are proposed, reviewed and released.
Where it breaks
RevOps is staffed as a request queue, so it optimizes ticket throughput while the definitional layer decays.
Related terms
- Metric definition
- A metric definition is the governed specification of a measure, its formula, source fields, filters, grain, owner and known limitations.
- Revenue data model
- The revenue data model is the set of objects, relationships and required fields that every revenue-facing process reads from and writes to.
- Change control
- Change control is the governed process for proposing, reviewing, releasing and recording modifications to the revenue system, its fields, definitions, automations and stage criteria.
- System of record
- A system of record is the designated authoritative source for a given entity or field, the one place where, if two systems disagree, this one is right.
Field notes on this
- You just inherited RevOps. Start with a charter.
Being told to "own revenue operations" is not a mandate. Until authority is written down, every decision you make is reversible by whoever objects loudest.
- Why four teams report four different revenue numbers
A reconciliation problem may be definitional, technical, or both. Test the metric contract before buying another data platform.