Expanded the subdivision dimensions such as equipment and behavior attributes. One feature is that Tencent's data tags Special Database are provided by users' active tags, and some are also mined through data. For example, users can choose related tags such as automobiles, travel, digital, etc., and the platform supplements popular tags through data mining and other operations . The combination of user tagging and data mining makes the overall user Special Database tags more comprehensive and rich. Three generations of evolution of online questionnaire sample database, who can represent the future?
In terms of characteristics, Tencent's answering groups are all users' active applications. It also pays more attention to the Special Database operation of sample database members, rather than only paying attention to samples when answering questions. The refined heavy-sample operation has two major advantages: In addition to the basic attributes, it can obtain other sample label data of more dimensions; The questionnaires can be delivered more accurately, and the service value is more obvious. The first- and second-generation Special Database old-fashioned sample libraries are still in the stage of expanding the source of the sample library and ensuring the authenticity of the labels.
And they have not yet seen their efforts in the operation of the sample library members. However, from the perspective of Special Database the trend, the service attributes of the questionnaire survey are prominent, and more and more attention will be paid to the refined operation of the members of the sample database. The Tencent questionnaire is backed by the massive user databases and portraits of WeChat and QQ, and it has user samples of subdivision dimensions that are not covered by other questionnaire platforms. Compared with the millions of users in the previous two generations, Tencent questionnaire users are in the 100 million Special Database level, which can achieve more. detailed and multi-dimensional user positioning and coverage and more accurate target user targeting.