Run Monetization Experiments (A/B Testing)
Running structured tests to identify incremental revenue opportunities with minimal risk. The lowest-risk way to unlock revenue that publishers consistently underuse.
At a glance
| Move type | Optimize |
| Primary category | Experimentation & Optimization |
| Secondary categories | Yield Optimization, UX Optimization |
| Channel | Programmatic & Direct |
| Inventory type | Display, Video, Native, Onsite |
| Region availability | Global |
| Time to revenue | Short (2–6w) |
| Revenue potential | Medium |
| Requires dev work | Medium |
| Requires ad ops ongoing | Medium |
| Requires sales support | No |
| Requires legal complexity | Low |
| UX risk | Low |
| Editorial / brand risk | Low |
| Ops risk | Medium |
What to measure
- Primary KPI: Incremental RPM
- Secondary KPIs: Viewability, session RPM, bounce rate
- What to measure: Holdout vs test performance; incremental revenue net of UX impact
Common gotchas
Testing too many variables at once; no clear success criteria; short test windows