What does Zing primarily utilize to track user interaction patterns?

Zing primarily utilizes session lengths and bounce rates to track user interaction patterns because these metrics provide valuable insights into how users are engaging with content on the platform. Session lengths indicate how much time users are spending on the site, which can reflect their level of interest and engagement with the content. Longer session durations typically suggest that users find the material compelling and are more likely to explore additional pages or features.

Bounce rates, on the other hand, measure the percentage of visitors who leave the site after viewing only one page. A high bounce rate may indicate that visitors are not finding what they expected or are not engaged, while a low bounce rate suggests that users are more likely to continue exploring the site. By analyzing both session lengths and bounce rates, Zing can better understand user behavior and make informed decisions about content optimization, user experience improvements, and growth strategies.

Other choices, such as feedback ratings, social media mentions, and visitor demographics, may contribute to understanding user interactions in different contexts but do not provide the direct insights into user engagement patterns that session lengths and bounce rates offer.