Post by account_disabled on Feb 24, 2024 23:02:58 GMT -6
This trend was reinforced in , with the union of Google Analytics and GAF in a new property type: Web+App . On October , Google Analytics was officially presented , a new generation that many call “the future of analytics ”, but why? simply because it continues to take steps towards user-centered analytics thanks to data integration and artificial intelligence to predict behavior. Almost nothing. Let's go over what this new update brings and how it can help businesses. The client, the center of the analytics of the future The customer, now more than ever, is the central axis of measurement.
We have moved from session- and device-based analytics to one that places greater focus on the user lifecycle . In Analytics , behavioral analysis is not only based on real actions, we can also benefit from predictions of future India Car Owner Phone Number List actions thanks to machine learning tools and audience customization. Which users are most likely to convert? And to abandonment? What potential revenue can a specific audience attract? All of these questions, and more, are now answered. A clear example is the case of Vistaprint ,
which thanks to the beta version of GA was able to predict the response that customers would have towards the launch of its new protective masks. Through its blog, Google shows how the channels that generate new customers and their behavior once they are on the web. User privacy: a pending but obligatory task The privacy of user data is always on the table. Without going any further, last month the deadline given by the European Data Protection Committee to implement the changes in the acceptance of cookies on websites expired . The war against third-party cookies does not stop.
We have moved from session- and device-based analytics to one that places greater focus on the user lifecycle . In Analytics , behavioral analysis is not only based on real actions, we can also benefit from predictions of future India Car Owner Phone Number List actions thanks to machine learning tools and audience customization. Which users are most likely to convert? And to abandonment? What potential revenue can a specific audience attract? All of these questions, and more, are now answered. A clear example is the case of Vistaprint ,
which thanks to the beta version of GA was able to predict the response that customers would have towards the launch of its new protective masks. Through its blog, Google shows how the channels that generate new customers and their behavior once they are on the web. User privacy: a pending but obligatory task The privacy of user data is always on the table. Without going any further, last month the deadline given by the European Data Protection Committee to implement the changes in the acceptance of cookies on websites expired . The war against third-party cookies does not stop.