Managing editors always have the same problem when it comes to select and sort the content for their newspapers: will the readers be interested by the topic ? will it entice them into buying the newspaper ? However evrybody do not get interested by the same thing. Therefore a personalized content would be much more efficient to catch the eye of a reader, and give him/her the envy to buy the newspaper or the respective article.
Gathering data about a reader would be very useful to understand his interests and draw its reading profile. For example, if a reader reads only sports-related articles, it would not be relevant to show him geopolitcs articles on the first page of the newspaper website. Thus, asking for the specific personal information and interest of the readers enable newspaper to build an entirely adapted first page according to the reading profile of a reader.
The collection of data can be linked to a Firebase Database :
Then you can select specific reading profiles accrording to their interests. For example, readers who are intereted in economics:
To conclude, collecting data to provide relevant content to readers through database is a very efficient way to catch the attention of readers and build customer loyalty.