REVENUE OPERATIONS & YIELD MANAGEMENT
The most expensive problem in revenue operations is not a bad number. It is three numbers — the ad server's, the SSP's, and finance's — that have never been reconciled, so no decision made on any of them is fully trusted.
Revenue operations work starts with agreement on what happened before it can say anything about what will happen. That means reconciling ad server, exchange, and billing data down to a known and explainable discrepancy, then building forecasting and pacing on top of a base everyone accepts.
From there the questions get useful: what is our real sell-through by placement, which inventory should be packaged rather than dumped into open exchange, and where does the yield curve bend across the quarter.
You are probably here because
- Ad server revenue and SSP revenue disagree and nobody owns closing the gap
- Forecasts are built in a spreadsheet by one person who is now the single point of failure
- Guaranteed line items under-deliver and the make-good comes out of programmatic
- Direct, programmatic and video are reported separately and never rolled up
- Nobody can answer what an incremental thousand sessions is worth
HOW THE ENGAGEMENT RUNS
- 01
1. Reconcile the sources
Ad server against every SSP against invoiced revenue. Discrepancy gets decomposed into its real causes — latency, ad blocking, timezone, currency, gross-versus-net, and genuine measurement loss — until the residual is small and explainable.
- 02
2. Build the unified view
One reporting layer that puts direct, programmatic, video and mobile side by side at the same grain, pulled through platform APIs rather than by hand.
- 03
3. Forecast and pace
Seasonality, sell-through and yield modeled per inventory segment. Pacing dashboards that flag under-delivery early enough to fix rather than to make good.
- 04
4. Hand over the operating rhythm
KPI definitions, review cadence, and ownership. A forecast nobody owns stops being maintained inside a quarter.
WHAT YOU GET
Scope covered
- Revenue forecasting models and pacing dashboards
- AdOps team structure design and KPI frameworks
- Cross-channel reporting: direct, programmatic, video, mobile unified view
- Revenue reconciliation and discrepancy resolution processes
- Sell-through rate analysis and inventory packaging strategy
- Seasonal yield strategy and programmatic pricing calendars
- Salesforce/CRM integration with ad server data for revenue visibility