Photo . Data display in the Google

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Analytics panel  Analytical tools and advertising systems the key to success in ecommerce! Advertising systems are the place where the practical use of data is most noticeable. Machine learning, used by advertising platforms to optimize campaigns, is based on information processed by analytical tools, which is then delivered to the advertising system. Tools such as Google Analytics or Facebook Pixel make it possible to monitor user activity on websites, assess the effectiveness of various marketing initiatives and analyze website traffic. For example, Google Analytics allows you to monitor the number of visits, time spent on individual subpages,


and analyze traffic sources that generate the most conversions. Moreover, advertising systems such as Google Ads or Meta Ads allow this data to be used to target ads . Meta Ads allows you to use information collected by Meta platforms Facebook, Instagram, WhatsApp to reach Algeria WhatsApp Number users based on interests, behavior, demographic data, etc. It also has functionality that allows you to independently import  customer lists. The collected data allows the use of such effective advertising techniques as remarketing .





offer Read also Facebook Ads basic information about Facebook advertising Loss of advertising data potential consequences for ecommerce Since information collected for marketing purposes is such a valuable enterprise resource, what can result in the loss of advertising data? Effects at the level of machine learning and campaign optimization Lack of data about users and events on the website may reduce the current effectiveness of the campaign or even the entire advertising account . Without constant access to data, machine learning algorithms will not be able to properly adjust campaign parameters. This results in wasted budget on targeting uninterested .