Search Analytics: The Core Metrics for Measuring Search Performance
Search analytics is the measurement layer underneath search intelligence — the specific metrics, like zero-result rate, click-through rate, and conversion rate, that tell a team whether search is actually working, tracked consistently enough to spot when something changes.
The core metrics
A useful baseline set covers zero-result rate (searches returning nothing), click-through rate (the share of searches with at least one click), search-to-cart rate, and search conversion rate — each measuring a different point in the same funnel, from query to purchase.
Metrics vs. insight
Search analytics is the raw measurement layer; search intelligence is what a team does with it — turning a metric shift into a decision about inventory, content, or pricing. The two are closely related, and in practice most teams need both rather than treating them as separate disciplines.
Attribution: crediting revenue to search
The hardest part of search analytics is usually not collecting click data — it is deciding how much of a resulting purchase to credit to the search interaction versus other paths (browse, recommendations, direct navigation) the same session touched. In a Semantix case study, Weinroute attributed 12% of online revenue to its search layer in a single measured month, using a defined attribution methodology rather than a rough estimate — the methodology itself is worth stating explicitly, since different definitions produce very different numbers.
Building a basic search dashboard
A minimum viable version tracks the core metrics above, broken out by week and by top query segments, rather than a single blended number that can hide exactly where a problem is concentrated.
Common questions
What's the difference between search analytics and search intelligence?
Search analytics is the metric layer — the numbers themselves. Search intelligence is the decision-making layer built on top of it, turning those numbers into specific actions.
What counts as a good search conversion rate?
It varies enormously by catalog and traffic source, so — similar to zero-result rate — the more useful reference point is a store's own rate over time rather than an external benchmark.
How is search revenue typically attributed?
Different teams define this differently, so the methodology should be stated explicitly rather than assumed — for example, whether a purchase counts as search-attributed only if the final click before checkout came from a search result, or under a broader window.