A pageview is recorded each time a page on your site loads or reloads in a browser. It measures how often content is viewed, not how many people visit. Pageviews help reveal navigation paths and content interest.
Pageviews show which pages attract attention and which do not. Spikes in product pageviews often follow influencer mentions or ads, which helps you prioritize homepage features, inventory, and ad budgets. Comparing pageview patterns before and after a redesign shows whether changes improved discoverability. Low pageviews on critical pages can indicate internal linking issues or weak search visibility. Looking at pageviews by template, for example PDP versus blog, helps the team size content value and merchandising impact.
Analytics scripts fire a pageview when the page is rendered. Single-page apps need virtual pageview events to track in-page navigation. A single session can contain many pageviews as a person moves from category to product to cart. Auto-refreshes, bots, and internal users can inflate counts, so filters are necessary. Pair pageviews with time on page and scroll depth to understand visibility and attention.
A sneaker retailer sees pageviews for a limited-edition model spike after a creator post. They add a homepage hero, update product badges, and increase paid search bids for that SKU. Pageviews continue to grow and convert, so the team orders an additional batch and plans a restock email. The same approach later helps them ride a second trend with faster execution.
Pageviews are not sessions, which count visits, and they are not unique visitors, which count people. They also differ from events that capture micro actions like clicks or video plays. Using pageviews alone can mislead, so always pair them with engagement and conversion metrics.
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