This article analyzes the market of existing advertising systems based on behavior or personalization. The advantages and disadvantages of these solutions are presented. The authors propose new method of personalizing advertisements for financial portals. The specificity of these sites allows to collect more information about the users such as age, employment, income, family, etc. On the basis of this information it is possible to classify user to one of the defined profiles in a more precise manner and increase the effectiveness of advertising. The studies indicate a 70% efficiency of presented method.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.