In the context of web analytics and e-commerce, a Query most commonly refers to a search term entered by a user into a website’s internal search bar. Analyzing these queries is a goldmine of insight into customer intent and potential website shortcomings. There are two primary types of queries: Navigational Queries: Where the user is looking for a specific product or category they already have in mind (e.g., “Nike Air Force 1”). Exploratory Queries: Where the user is researching or has a general need but isn’t sure what they want (e.g., “comfortable work shoes”). Analyzing site search data helps businesses: Understand Customer Intent: Discover what products or information users are actively seeking. Identify Gaps: If a popular query returns no results or poor results, it indicates a missing product or a need to optimize existing content. Improve Navigation & Merchandising: Inform the structure of categories and filters. Optimize for SEO: Discover relevant keywords to target on product pages and blog content. A well-functioning site search is a powerful conversion tool, and the data it generates is essential for creating a user-centric website that meets customers’ needs efficiently.
Return on Ad Spend (ROAS)
A metric that measures the revenue earned for every dollar spent on advertising. (Revenue from Ad Campaign / Cost of Ad Campaign).
