What is the operator's big data precision marketing to acquire customers?

Carrier big data is a new type of customer acquisition method based on the era of big data. It abandons invalid outbound calls and does not conflict with traditional advertising. Traditional advertising caused an impact, but achieved the purpose of acquiring customers. There are many ways to acquire customers. People work hard just to let more people pay attention to their products. What's more, they spend a lot of money on advertising, but they can't see the effect at all. They still don't give up and don't give up. They believe that one day he will succeed. . Based on the era of big data, the way we can achieve customer acquisition is - operators' big data acquisition of customers.

What are the capabilities of big data for operators:

With the help of its huge customer base, operators can instantly browse mobile phone calls and big data browsing with high frequency and high social dynamic tracking of mobile users. Through the big data of operators, it helps enterprises to determine accurate target customer groups, and helps enterprises to establish accurate and three-dimensional user portraits, and to label them with accurate industry labels.

The first step is to analyze the characteristics of the intended customer's needs, the age of the customer, gender, family situation, purchasing preferences, consumption habits, etc.;

The second step is data modeling by data engineers. Modeling is mainly divided into basic models and behavioral models. For example, you are in the K12 education industry, and the behavior models include: browsing the web (school website, jyj website, training institution website, etc.), making calls (peer 400), visiting educational apps (so-and-so search questions , so-and-so memorize words, etc.), have used teaching applets (schools publish grades platform, etc.).

The third step is to use the operator's DMP platform for data mining, and after further processing and deep desensitization analysis, with the basic portrait, there will be accurate customers, but is every search child whose performance drops is the intended customer? No, he may be a teacher or a course consultant. So behind each label there is a probability base.

Carrier big data accurate customer acquisition marketing can solve the problem that enterprises are difficult to acquire accurate customer resources. Difficulties in obtaining customers for enterprises are mainly manifested in two aspects: one is that enterprises cannot determine the target customer group, and the other is that enterprises do not have three-dimensional and accurate user portraits.

Therefore, the key to solving the problem of difficult customer acquisition for enterprises is to use big data from mobile and China Unicom operators to help enterprises determine precise target customer groups, and to help enterprises establish accurate and three-dimensional user portraits and label them with accurate industry labels.

 

Operator big data is based on a big data model, they can set tags, set visit time, select past visit impressions, and set the number of visits. Operator big data has massive data resources, operators have strong big data modeling capabilities, and can analyze daily real-time visitor data such as websites, URLs, web pages, and URLs. Daily active users, incoming and outgoing calls, people receiving text messages. Search user data information on the multi-dimensional platform based on keywords, and accurately analyze user information in dimensions such as user area, age, gender, and number of visits by establishing user profiles. You can also analyze leads. To greatly increase the potential intention of customers, accurately locate the target customer group you need. Same industry, same vertical, including competitors.

The big data of operators can greatly reduce the cost of acquiring interested customers (including time cost and capital cost), effectively improve customer acquisition time and conversion rate, and thus improve enterprise performance.

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Origin blog.csdn.net/m0_73286592/article/details/129863266