Search intent is the underlying goal behind a user's search query, classified into four types: informational (learn), navigational (find a specific site), commercial investigation (compare options), and transactional (buy now).
Search Intent in plain English
Search intent describes what a searcher actually wants from a query, not just the keywords they typed. A query like "best running shoes for flat feet" signals commercial investigation — the searcher is comparing options before buying — while "buy Hoka Bondi 8 size 10" signals transactional intent and demands a product page, not a blog post.
Search engines determine intent by analyzing query phrasing, historical click behavior on similar queries, and the type of pages users engage with after searching. Words like "how," "why," and "what" signal informational intent. Brand names plus modifiers like "login" or "return policy" signal navigational. Comparative modifiers ("best," "vs," "review") signal commercial investigation. Direct phrases ("buy," "price," "discount code," "free shipping") signal transactional intent. The SERP itself is the clearest evidence: if Google returns ten product listings, the intent is transactional regardless of how the query reads.
Done well, content matches the dominant SERP format — a category page for transactional queries, a comparison guide for commercial investigation, an in-depth article for informational. Done poorly, a store publishes a 3,000-word blog post targeting "women's wool sweaters" when the SERP is filled with collection pages, then wonders why the page never ranks despite strong backlinks and clean on-page SEO.
A practical check: before targeting any keyword, search it in an incognito window and count how many of the top 10 results share the same page type. If 7+ results are product or category pages, only a product or category page will rank. If 7+ are blog posts or guides, only editorial content will rank. Mixed SERPs (4-6 of each) indicate fractured intent and lower conversion predictability.
Why search intent matters for ecommerce
Ecommerce stores lose budget on two specific mismatches: ranking blog content for transactional queries that demand product pages, and ranking product pages for informational queries that demand education. A store targeting "how to clean leather boots" with a product collection page will not rank, and a store targeting "buy leather boots" with a care guide will rank but convert at a fraction of a percent. Aligning page type to intent determines whether traffic converts, whether Google ranks the page at all, and whether paid search quality scores stay low enough to be profitable. Intent misalignment is the most common cause of high-traffic, zero-revenue pages.