What is share of search?

The metric was popularized around 2020 by the effectiveness researcher Les Binet, with related work from James Hankins. Binet presented evidence that in several categories a brand’s share of category search volume correlated with its market share and appeared to move ahead of it, by months in some markets, which suggested a free early-warning indicator: the search analog of share of voice, computable from public data like Google Trends rather than an expensive tracker.

The arithmetic takes an afternoon: define the competitor set, pull search volumes for each brand name, and divide one brand’s volume by the total. The judgment lives in the details. Brand names that are also common words pollute the counts, navigational searches from existing customers mix with genuine new interest, and bad news inflates the number: a scandal raises share of search while damaging the brand, so the metric needs a sentiment check beside it before anyone celebrates a spike.

The predictive claims deserve their hedge. Binet’s own data showed the strength and lead time of the relationship varying widely by category, and later practitioners found markets where share of search is noisy, lagging, or dominated by promotional cycles. The grounded position: it is a useful, cheap awareness proxy and a decent early-warning line in a tracker, not a forecasting machine.

How this shows up in Waldo

Share of search covers what people look for; the other half of the picture is what they see and say. Waldo supplies that half, conversation share, live ads, and audience signals for the same category in one source-linked surface, so a search spike can be read next to the presence and coverage that might explain it.

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