The machine learning model uses

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Data from users who have converted and those who haven’t in your custom conversions. This allows you to identify patterns and correlations that can indicate which user behaviors are likely to lead to conversions. In addition to conversion modeling, crossdevice tracking is also added. This allows you to track how users convert on your website or mobile app, making tracking conversions in GA much easier than in Universal Analytics. .

Bounce Rate and Engagement Rate One of the most popular metrics in Universal Analytics is the bounce rate, which provides valuable insights. It measures the percentage Malaysia Phone Numbers 22 Million List of sessions on your website that consist of a single page view. However, in GA, the definition of bounce rate is different.



The bounce rate in GA is defined as the percentage of sessions where no interactions were made. When using Google Analytics , it’s recommended to focus on the engagement rate rather than bounce rates, which is a more useful metric. The engagement rate in GA measures the percentage of sessions where interactions were made.