Operator big data marketing, what do you know?

During the period of operator Internet marketing, today's network technology, which means cloud computing technology, will change the advertising operation method from the root.

Creating labels for users’ personal behaviors means using operators’ Internet big data users to develop and design labels, analyze users’ consumption habits, and present professional labels for user consumer behavior.

In the period of operator Internet marketing, today's network technology, which means cloud computing technology, will change the advertising operation method from the root.

In addition, Internet big data has changed the natural environment of market demand, marketing strategies and service project methods.

Operator big data creates a user's personal behavior label, that is, with the operator's Internet big data user development and design label, analysis of user consumption habits.

Presenting professional labels for users’ consumer behaviors, drawing user portraits according to label content, and then carrying out targeted marketing promotion is an efficient Internet marketing method.
-User personal behavior label-

What is a user's personal behavior label?

User tags are generally a combination of one or several user algebraic expressions. The role of the composition combination is also called the business process role standard, which is the role component that indicates that the user indicates the standard.

How does operator big data create user labeling system software? 【Wei: No worries to get customers all fight plus 01】

Operators have hundreds or even thousands of user tags based on the characteristics of users' personal behavior, Internet access records, application telemarketing status, total online traffic information content, active online personal behavior, etc.

This label has a different business process purpose and available scenarios when it is built. With the application of big data tags, the scenarios become more and more colorful, and the operator's big information system produces a detailed user tag system software.

The following is to classify user labeling system software at multiple levels:

(1) At the level of population statistics, the basic customer information based on the professional knowledge of demography, including gender, age, income, daily life, children's situation, parents' situation, marriage situation, religious belief, ethnicity, nationality, birth Location, cultural and educational level.

(2) The user's personal hobbies The user's personal hobbies refer to a person's selective mentality, personal behavior and psychological characteristics. The basis can be divided into game entertainment preferences, daily life preferences, cultural and artistic hobbies, personality traits, emotions, and consumption concepts.

Here, game entertainment preferences refer to games such as songs and musicals. Daily life preferences refer to the daily life preferences of small pets and home.

The love of cultural and artistic information content such as studying and taking pictures. Personalized emotion refers to the basic characteristics of personality traits and mental state, love, emotion, and main manifestations.

Customer social psychology refers to the basic characteristics of customers' actions in buying things, such as online shopping hobbies, marketing hobbies, and holiday travel hobbies.

(3) At the level of social attributes, people of different types in social development will live as home, neighbors, friends and other people. The level of social attributes is the main performance of basic characteristics of social ideology, such as basic characteristics of daily life, basic characteristics of work, basic characteristics of social development, etc.

Among them, the basic characteristics of daily life refer to residential communities (such as metropolitan areas and old towns), where there are trees and cars, and where there are trees and houses, etc. 【Wei: No worries to get customers all fight plus 01】

The basic characteristics of social development refer to friends (classmates, roommates, etc.), characteristics of the social development circle (such as high-end scholars, basketball enthusiasts, etc.), and crowd use rights (such as college students, teams, etc.).
-Application of user tags-

User label collection: The key is to accumulate basic user characteristics standards based on scientific research, front-line personnel collection, user contact, Internet label standards, business process marketing experience, database management information content layer, data statistical analysis, and mining models.

Application of user tags: The transmission layer of user tags is the application of user tags for user corporate image, market segmentation, precise promotion marketing, user value promotion marketing, analysis and information mining.

User tag management method: The user tag library is responsible for storing user characteristics, functional specifications and user tags, creating, writing, granting, publishing, implementing, appraising and offline promotion life cycle process optimization, and system software tag management methods.

Tagging users is a widespread method in operators' Internet marketing. Based on the analysis of users' personal interests, social behaviors and other tags, it can show reasonable data information use for diversified marketing activities.

Based on the user’s access tracking and access data information on the mobile Internet, the operator’s Internet big data shows the most accurate target customers based on the portrait of the operator’s Internet big data user, and assists the company to complete the accuracy according to SMS, phone calls and mobile WeChat User browsing, improve conversion efficiency.

-Get the overall target precise population-

Cloud Whale big data customer acquisition to obtain irreversible high practical value customers overall target consumer groups

Cloud Whale big data wins customers relying on the advantages of the Internet big data of the three major operators, focusing on helping the company's Internet marketing upgrade, it has long been widely used in every manufacturing industry.

The cloud whale big data customer acquisition integrated service platform is based on the basic characteristics of customers and the in-depth outline of Internet technology behavior, combined with corporate regulations and target customer groups.

It can obtain the overall target consumer groups of irreversible and high practical value customers, and support partners in the financial industry, education, real estate industry, cars, commercial insurance and other partners to provide big data marketing services, effectively increasing consumer conversion rates and reducing operating costs.

All data information of the cloud whale big data customer acquisition platform is presented by the official website of the operator. The data information is reasonable and legal, and the customers are real and effective.

According to the characteristics of customer groups in various manufacturing industries, a database system is constructed one-to-one to deeply mine irreversible customer data and obtain precise consumers.

At present, the cloud whale big data customer acquisition platform connects billions of precise company and merchant data information in the query of the operator database, including 6000 + user tags, and successful accumulation of 1000 + potential users in various manufacturing industries to select physical models, covering 90% of popular consumption The crowd has a huge scale of data information. 【Wei: No worries to get customers all fight plus 01】

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Origin blog.csdn.net/hdl17822307857/article/details/112669681