GDS enables the creation of new metrics, which will allow adding the CR omitt in GA to the reports creat there. . Cross-device user tracking In GA , tracking user paths is only possible in the web version of the site. Google Analytics for Firebase is us to analyze traffic in mobile applications. GA combines both of these tools, creating the opportunity to track the user between devices. Identification of users users across devices, how do you do it? What if the site doesn’t have user accounts? When identifying a user on a website, GA , of course, takes into account the User-ID at the beginning , the ID of the user logg into the website account.
The Last method of identification
However, if there is no such account, Google Signals comes into play. Google signals collects session data from websites and apps. With this information, GA can associate it with its own data if the website user has logg into their Google account and consent to the personalization of ads. This way, GA has the ability to track you even if you continue to visit the site from another device. Is the classic recognition of customers bas on cookies .ID – identification of users . Attribution Jamaica Phone Number List model The default attribution model in GA , which is how crit for conversions is attribut to traffic channels, is the last non-direct click model.
The Bounce rate is an indicator
It’s not perfect because it only gives crit to the last source in the customer’s path to conversion. GA offers a new data-driven attribution method . The data-driven model distributes the share in conversions bas on historical data on each conversion event. Attribution model bas on data in GA . attribution model . No bounce rate The glass is half empty in GA and half full in GA. That determines the percentage of visits where the user did not have Bulk Lead any interaction with the page or went to the next one.
