Experiments

Prove that a search change makes better choices.

More clicks are not automatically better results. An experiment links hypothesis, target group and quality metrics to commercial outcomes.

Formulate one hypothesis

Describe which search group is being improved, what change is being made and what behavior is expected.

Capture a baseline

Measure current CTR, conversion, zero-result searches, reformulations and relevant guardrails before the change starts.

Protect exact matches

A semantic or commercial enhancement should not damage SKUs, brands, and other critical queries.

Segment the analysis

View query type, device, store and market separately when the change can work out differently.

Use sufficient duration

Avoid conclusions based on a few orders. Take into account weekly patterns, campaigns and stock.

Check attribution quality

An experiment can only be judged on conversion when tracking and store separation are stable.

Document the decision

Explain why the change is being rolled out, modified or reversed.