It is easier to understand your performance withthat is irrelevant to your objectives by retaining only the KPIs and putting them aside. Thus, it is possible to perceive insights and information that could be hidden. Prescriptive and predictive analytics With the study of what was presented in the panel, it is possible to separate two scenarios. The prescriptive, which points to situations that can be corrected and optimized with momentary applications. Predictive, which indicates consumer trends by their behavior and helps the marketing and sales team prepare for the future.

The company can be more proactive ideally rather Special Data than reactive. That is, having the ability to deal with problems before they cause harm, from the beginning , or even because of the possibility of them happening. A good example of a process is the marketing professional who uses proactivity to engage and reach the public with the best message and means possible. This is done through numerically proven predictions , without blindly following your intuition and ending up stumbling.



In a practical application, we can take inspiration from marketers looking to diversify their traffic sources by identifying where traffic is coming from and thinking proactively, rather than reactively. Finally, the algorithms of the search engines change and can cause visits and leads to drop overnight and, consequently, your income as well. Therefore, it is best to identify how to fix a problem that may give you headaches in the future before it happens.