Characteristics of Cohort Analysis Greater detail in data analysis

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Today, a company that does not store, structure and analyze its data on a daily basis is missing out on opportunities to understand its business in depth.

Therefore, even knowing how to use that information, the volume of data generated and analyzed daily is very large.

The big difference is actually being able to perceive trends with that huge amount of information.

This perception can come from manual work, when collaborators dedicate themselves to observing the data and understanding what it represents.

In addition to that, perception can also happen due to prior motivations , i.e. events that trigger attention to how the company's consumers reacted . This is one of the main ways to use Cohort Analysis actively.

This work can be done at any time, but when malta mobile database the observation of a segmented group is sought, it is active, and the company can anticipate movements and react strategically.

An example that helps to better understand this scenario are seasonal campaigns, such as Black Friday .

During this period, the results are differentiated by the peak sales that an e-commerce or other business deals with.

In such cases, a Cohort Analysis helps to understand various issues related to consumers, specifically in this period, such as:

the average ticket ;
cart abandonment rate;
through which advertisement they arrived at the website;
which customers made a new purchase in the following months.