We implement comprehensive analytical solutions Check out our >> OFFER << What makes Google Analytics GA different? Machine learning algorithms accompanying data at the source. Artificial intelligence develop by Google will help us discover more. These algorithms are suppos to sort users by value, likelihood of conversion, and even fill data gaps where privacy settings block data collection. In addition, prictive data is available – of course, packag in the right form. More accurate information about the user’s interaction with the wsite across devices.

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GA is to focus on site events and interactions, which will also be available on a large scale. Focus on the future and resistance to change. With user privacy regulations and the increasing banning of cookies, GA is design to act independently Ghana Mobile Number List of these issues through data modeling. Google Analytics GA – the biggest changes Easier and more complete adaptation to our nes by focusing on interaction with the wsiteapplication. In other words the service is focus on events, not hits. Thanks to the many built-in variables and the mass of programmable values ​​available, event tracking is a key element of the GA.

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Unfortunately, their structure is also changing, so many businesses should rethink their implementation to adapt to the new tracking model. Focus on the user journey from acquisition to purchase, enabl by new reports, AI insights and previously only available in Analytics – Analytics Hub. google analytics – Views disappear, instead we get data streams USB Directory that allow you to configure events and their sources. Thanks to them, we can combine several applications in one service, while in UA it was a good practice to set up a separate service for a particular application, and even for each subdomain. So we get the ability to track users between them, and thus – devices.