Keep paid-media experiments focused
Too many things change at once to know what the test showed.
For acquisition teams testing one uncertain campaign change.
What good looks like.
A test ends with an adopt, reject or inconclusive decision and a record of validity limits.
- Starts when
- A buyer proposes a specific change whose effect is uncertain.
- Accountable owner
- Experiment owner
Where AI could help.
AI can draft hypotheses and organize change logs; an analyst chooses the evaluation and interprets uncertainty.
How the work could move.
A suggested process to adapt to your team. Each handoff needs a clear owner and a visible check.
Write the hypothesis
Media buyer
State the proposed change, expected mechanism, primary metric and guardrails.
Ready when: The charter identifies one decision the test will inform.
Design the comparison
Analyst
Specify allocation, eligible population, evaluation window and stopping conditions.
Ready when: The owner accepts the design and its likely limitations.
Prepare and approve
Experiment owner
Check variants, measurement and unrelated planned changes before authorizing the test.
Ready when: Both arms are valid and launch approval is recorded.
Monitor validity
Media buyer
Record outages, budget changes and contamination without opportunistically changing the plan.
Ready when: Material deviations are visible in the change log.
Close with a decision
Analyst and growth lead
Write results with uncertainty and decide adoption, rejection or further testing.
Ready when: The decision links to evidence and any rollout is separately authorized.
Explore the setup, checks, and exceptions
Start with your tools.
Use an experiment charter and a verified platform experiment feature where eligible. Confirm the chosen campaign type supports the intended allocation.
When things go wrong.
- Insufficient volume can end in inconclusive rather than a forced winner.
- A simultaneous offer change may invalidate the intended comparison.
- A breached customer or spend guardrail triggers the pre-agreed stop review.
A useful first step.
Write a charter for one pending change before touching campaign settings.
What to measure
Track valid experiments completed and decisions supported by the planned evaluation.
Want this working with your team and tools?
Build it yourself, adapt what you already have, or work with us. We can help you choose where to start and handle the technical build.