Carrier Big Data: What is Crowd Profile Analysis? How to achieve accurate customer acquisition?

Carrier Big Data: Analyzing Personal Portraits

       It is not an exaggeration to say that data is money. Even if an Internet company loses money for a long time, as long as it has a large number of users as support, there will be investors who will invest heavily in venture capital.

Compared with Internet big data, operator big data is superior to Internet big data in terms of the number of users, data dimensions, and data authenticity, because the three major operators supported by network and communication services have mastered Nearly 1.5 billion real user information has been collected, which has laid a solid foundation for the precise marketing and accurate customer acquisition services provided by different industries and enterprises.

How powerful is operator big data?

       According to the information authorized by the user, the operator's big data analyzes the user's operator's call records, regional distribution, social portrait, consumption preference and other data, analyzes the user's age and household registration location according to the card ID card, and gives an analysis report of the user portrait .

Carrier big data can provide a wealth of original collected data, as well as standard APIX data analysis reports. If you want to conduct customized data analysis based on specific application scenarios, we will also provide you with data analysis modeling solutions.

The operator's big data user portrait specifically includes the following dimensions:

1. User fixed characteristics: gender, age, region, education level, birth date, occupation, constellation

2. User interest characteristics: hobbies, using apps, websites, browsing/favorite/commenting content, brand preference, product preference

3. User social characteristics: living habits, marriage and love, social/information channel preferences, religious beliefs, family composition

4. User consumption characteristics: income status, purchasing power level, product category, purchase channel preference, purchase frequency

5. Dynamic characteristics of users: current time, needs, places they are going to, surrounding merchants, surrounding people, news events.

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Origin blog.csdn.net/weixin_45864421/article/details/127232419