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Machine Learning

Machine learning

Machine learning is a branch of artificial intelligence that gathers a set of statistical methods to progressively improve the performance of an algorithm in identifying patterns in the data. In the field of information, machine learning is a variant of traditional programming in which the ability to learn something from data independently is prepared in a machine, without receiving explicit instructions in this regard.

Machine learning applied to web platforms

Our experience with machine learning allows us to fully monitor user interactions with our web platform which allows us to actively monitor users' searches and digital paths that guarantee the best performance. The use of machine learning combined with our tools such as the internal search engine and digital automation allows us to offer total support to the development of our customers' platforms, allowing us to intercept and learn the latent needs of the market and therefore allow project management to offer customized solutions based on solid market analysis.
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Mirco Vanoni - Project manager
The evolution of the business model and of the way of doing business with the advent of the digital instrument since the early 2000s has generated the need to develop new metrics able to identify performance indicators in the digital instrument.
Starting from this need we have built a platform able to identify those that are the main metrics able to define the effectiveness and efficiency of digital campaigns, two of the main tools that allow us to identify the performances in the digital world are the PAR (Purchase Average Ratio) and the BAR (Brand Advocacy Ratio), the PAR allows us to identify the purchase rate that is the number of people who have made a purchase in relation to the number of people who know our brand, then gives us a vision clear of what are the conversions of our visibility then of our awareness.
The BAR instead offers a clear measurement of the number of people and users in which it has developed the phenomenon of advocacy compared to the number of users who know the brand, in this way we have a clear indicator that allows us to assess how much our communication has been able to involve our public, and therefore our target audience.
Shareholders and companies use ROE (Return of Equity) as an indicator of the return on their investments, while PAR and BAR make it possible to measure the return on investments and therefore visibility into user involvement, PAR and BAR are therefore two indicators that allow you to accurately and accurately evaluate the performance of your digital investment.
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