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Analytics metrics

Branded vs non-branded search share

Branded vs non-branded search share is the proportion of search clicks or impressions from queries that contain your brand name versus those that do not. It separates demand you already earned (people searching your name) from discovery (people finding you for a topic). The split is usually built by filtering Search Console queries, and it is limited by query redaction and by the fuzzy boundary of what counts as 'branded'.

Verified against primary sources

What this means

A branded query contains your brand or product name; a non-branded (or generic) query does not. The share is the proportion of search clicks or impressions in each bucket, typically produced by applying a brand-term filter to Google Search Console's query data. It distinguishes captured demand (someone already looking for you) from discovery demand (someone looking for a topic you happen to serve).

Why the split is imperfect

Two limits matter. First, classification is fuzzy: brand misspellings, brand-plus-topic queries, and ambiguous names make the branded/non-branded boundary a judgment call, so two analysts can split the same data differently. Second, Search Console withholds (anonymizes) queries that are too rare to show without risking user privacy, so a portion of clicks and impressions has no query attached and cannot be classified at all. The share is therefore an estimate over the queries you can see, not a complete census of search demand.

How it appears in analytics and logs

The split shows how much search interest comes from your name versus generic topics. A rising non-branded share suggests growing discovery; but redacted queries mean the totals are incomplete, so read it as directional.

Diagnostic use case

Use the branded vs non-branded split to separate existing brand demand from topical discovery, while accounting for redacted queries that are missing from the data.

What WebmasterID can help detect

WebmasterID complements search-query analysis with first-party on-site behavior, so you can see what branded and non-branded arrivals do after they land without third-party cookies.

Common mistakes

Privacy and accuracy notes

The split is built from aggregated, anonymized search-query data; individual queries that are too rare are withheld by the search engine to protect users. No personal identifiers are involved.

Related pages

Sources and verification notes

Last reviewed 2026-06-24. Facts are checked against primary/official sources where available; uncertain specifics are marked “Data not yet verified” rather than guessed.