B2B AdsadvancedPro

Turn Google Ads experiment results into the next test plan with Claude

Audit native experiment setup, control and treatment arms, traffic split, conversion actions, runtime, metric movement, and confidence before deciding whether to adopt, reject, extend, or redesign a test.

What you will have

A defensible Google Ads experiment readout, adoption decision, learning register, and prioritized next-test roadmap.

Setup time

4-7 hours

Time saved

5-8 hours per experiment readout

Estimated cost

$20 to $200 per month

Tools used

2 tools

Why this works

A campaign experiment is valuable only when the hypothesis, control, treatment, traffic split, conversion actions, and decision rule are documented before interpreting results. Google Ads exposes the experiment arm, dates, split, performance metrics, and confidence indicators, but a positive directional result may still be operationally weak or confounded. Claude can reconcile setup quality with outcome evidence and preserve inconclusive findings as learning rather than forcing a winner. The next-test plan compounds knowledge instead of repeating disconnected optimizations.

Step-by-step workflow

Preview the workflow

The first 2 steps are open. Pro unlocks the remaining steps, copy-paste prompts, pro tips, tool-by-tool setup guidance, and implementation details.

Recover the pre-test decision record

30-60 min

Document hypothesis, primary metric, guardrails, changed variable, control, treatment, split, planned runtime, minimum detectable effect, and stop conditions. Work from Google Ads using experiment ID, base campaign, trial campaign, experiment split as the minimum evidence set. Complete this work in Google Ads or the controlled working file; no Claude prompt is needed for this step. Save the finished artifact in the experiment decision and next-test brief with the run date, owner, evidence reference, confidence, and approval status. Treat budget caps as a separate exception class and do not count it as failure unless the policy says so.

Output

Recover the pre-test decision record completed as a dated section of the experiment decision and next-test brief, with experiment ID, incremental conversions, evidence links, owner, and approval status for graduate the winner.

Google Ads

Pro tip

Do not let experiment ID stand in for base campaign; that shortcut creates false positives in campaign experiment readout. Document the result in the same run folder so the next cycle can compare like with like. Apply it specifically during “Recover the pre-test decision record.”

Verify experiment integrity

30-60 min

Check experiment status, dates, campaign eligibility, traffic split, conversion actions, budget, bidding, geography, audiences, and change history. Mark invalid comparisons before reading results. Capture trial campaign, experiment split, start date, end date in a dated working table before interpreting the result. Complete this work in Google Ads or the controlled working file; no Claude prompt is needed for this step. Save the finished artifact in the experiment decision and next-test brief with the run date, owner, evidence reference, confidence, and approval status. Quality-check the result against arms ran for the planned window, then route any contradiction to the named data owner.

Output

Verify experiment integrity completed as a dated section of the experiment decision and next-test brief, with base campaign, cost-per-conversion delta, evidence links, owner, and approval status for extend the experiment.

Google Ads

Pro tip

Keep auction shocks visible as its own class because merging it into the main failure rate will distort the decision. Document the result in the same run folder so the next cycle can compare like with like. Apply it specifically during “Verify experiment integrity.”

Pro workflow preview

Previewing 2 of 12 steps

Pro membership