Session quality metrics evaluate the depth and value of user interactions during each product visit. Key indicators include session duration, interaction depth, and task completion rates. These metrics help distinguish between superficial browsing and meaningful engagement that drives user and business value.

Session analysis focuses on critical user actions during each visit. For instance, in an e-commerce platform, adding items to cart, checking shipping rates, and completing purchases indicate high-quality sessions. Conversely, brief visits with minimal interaction often signal navigation issues or mismatched user intent. By mapping these interaction chains, teams can identify both successful user flows and drop-off points.

Moreover, activity clustering reveals common session patterns across user segments. A "discovery" session might involve extensive browsing and multiple product comparisons, while a "transaction" session shows focused progress toward purchase completion. These patterns help teams optimize user flows and predict likely user intentions based on early session signals.