Usage & Range
Search volume and segmentation give context to the rest of the digits.
Search volume →Use one analytics route to see what visitors are looking for, where results are lacking, which product clicks follow, and which optimizations deserve priority.
Search volume and segmentation give context to the rest of the digits.
Search volume →Combine missed question and click behavior to prioritize areas for improvement.
Zero-result searches →Keep attributed and unattributed orders visible and verifiable.
Conversion center →Compare consistent definitions about time and pay attention to assortment or tracking changes.
Trends →Missing events, duplicates and store context can distort KPIs.
Data quality →Make observations hypotheses, tests and controlled releases.
Optimization →Examine missing products, typos, synonyms, filters, and product data before adding wide fallback logic.
Zero-result searches →Check relevance, presentation, ranking, and query intent per key search term.
Search Quality →View attribution, product fit, stock and possible mismatch between search intent and result.
Conversion →Use campaigns and ranking rules only after the basic relevance and measurement definitions are clear.
Merchandising →Capture search volume definitions, CTR, zero-result searches, product clicks and conversion. This way you prevent teams from interpreting the same graph differently or comparing periods incorrectly.
Discuss which data you already have, which events are available and how you want to measure search impact.