Revenue operations: a case study playbook
The anatomy of a revenue operations engagement that worked — what we tried, what we killed, and what we would repeat.
Names removed, numbers preserved. This is a real revenue operations engagement, reproduced as a playbook. Client had product-market fit, a rev team of eleven, and a stalled pipeline.
Week one: diagnosis. The stated problem was "not enough leads". The actual problem was hiring RevOps to fix CRM instead of to own revenue, which had been masked by inbound velocity that peaked two quarters earlier.
Weeks two to three: rebuild the target list from scratch and re-cut the trigger. Revenue operations works when growth stalls when systems, data, and process drift; the client had drifted away from that first principle.
Weeks four to six: live at 20% of previous volume, quality bar raised. Days-to-close and forecast accuracy moved every week, though absolute numbers stayed modest.
Weeks seven to twelve: ramp. By week ten the number was ahead of the pre-stall baseline. By week twelve it was 40% ahead. Cost per outcome was roughly halved.
What we would repeat: the diagnosis step, the quality bar, and the weekly review. What we would kill sooner: two tools we bought in month one that added noise instead of leverage.
The client's own summary at the end of quarter one: "we thought we needed more of everything; we actually needed less of the wrong things." That is usually the lesson.
Frequently asked questions
RevOps — answered
- How long until the case study company saw results?
- The metric moved in week four; the absolute number caught up around week ten.
- What did the client stop doing?
- Running old tools on autopilot and confusing volume with progress.
- What did the client keep doing?
- The Monday plan, the Friday review, and the weekly days-to-close and forecast accuracy readout.
- Is this case study repeatable?
- The process is repeatable; the numbers depend on category, team, and starting point.
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