dasexperten Google Ads Experiment Planner
Purpose
Plan controlled Google Ads experiments that isolate one meaningful change and measure its effect on ROAS, CPA, conversion value, conversion rate, or qualified volume.
When to Use
Use this skill when testing bidding strategy, target changes, campaign structure, broad match, ads, landing pages, Performance Max setup, budgets, or audience and value inputs.
Inputs
Useful inputs: business question, hypothesis, campaign, baseline period, primary metric, guardrail metrics, test variable, traffic split, duration, conversion delay, and minimum decision threshold.
Workflow
- Write one clear hypothesis.
- Select one primary variable to change.
- Define primary metric and guardrails before launch.
- Choose eligible campaigns, baseline, split, duration, and conversion-delay handling.
- Avoid unrelated edits during the test.
- Evaluate statistical and business significance.
- Decide to apply, reject, extend, or redesign the test.
Output
Always provide hypothesis, control and test setup, primary metric, guardrails, duration, decision rules, risks, and final decision template.
Common Mistakes
- Testing several major changes together.
- Ending a test after a few days or conversions.
- Choosing clicks as the winner metric for a profit objective.
- Applying results without checking business significance.
Related Skills
- budget-bidding-strategy-planner
- google-ads-roas-optimizer
- google-ads-cpa-optimizer
- performance-max-optimizer