Clear definitions of the metrics, concepts, and signals that impact site speed, search rankings, user behavior, and revenue.
Pogo sticking happens when users quickly return to search results after clicking a page that failed to meet their expectations. It’s a strong signal of poor user experience, often caused by irrelevant content, slow load times, confusing navigation, or misleading headlines.
Learn moreRage clicks are rapid, repeated clicks on the same element when it fails to respond. They are one of the clearest behavioral signals that a user hit friction severe enough to break their trust in the page.
Learn moreScroll depth tracks how far users progress down a page before stopping or leaving. It reveals whether your content and layout are actually guiding users toward the actions that drive revenue.
Learn moreSession depth measures how many pages a user visits within a single session. Higher session depth signals stronger purchase intent and directly correlates with higher conversion rates.
Learn moreBounce Rate is a web analytics metric that measures the percentage of website sessions that are not considered 'engaged' within Google Analytics 4 (GA4).
Learn moreCart abandonment signals are behavioral and technical indicators that suggest a shopper is likely to leave a website after adding items to their cart without completing a purchase.
Learn moreCheckout Friction refers to any obstacle, delay, or confusion that makes it harder for a user to complete a purchase during the checkout process. Even small issues-like slow-loading steps, unnecessary form fields, or unclear errors-can interrupt purchase intent and cause motivated buyers to abandon before finishing their order.
Learn moreLab Data (Synthetic Monitoring) and Field Data (Real User Monitoring) represent the two fundamental ways to measure website performance, each serving a distinct but complementary purpose.
Learn morePerceived Load Speed (PLS) is a subjective measure of how fast a website feels to a user, which is often more critical for retention than the actual technical load time.
Learn more