Operators’ big data capture principles, accurate data to acquire customers and penetrate stable material vendors [Look for the primary data channel provider TG@Yssj18]
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Accurate data SDK/DPI, penetration, crawler. DNS hijacking, DDoS attack, sniffing, API interface script, broiler, web page Trojan, corporate industrial and commercial data collection, if you can use these words yourself, I believe it is not too easy to obtain accurate customer data and open orders.
Prerequisites for accurate extraction of business big data: 1. Everyone and all Internet behavior are inseparable from the three major operators; 2. The three network operators store everyone’s Internet behavior, voice call behavior, mobile text message interaction, and real-time geography Location and other types of behavioral manifestations; 3. Each behavioral manifestation reflects the needs of customers; 4. What kind of behavioral manifestations of customers do you want? For big data technology, it is nothing more than finding and extracting big data from the three networks and adopting a three-mode system. Advanced screening of data information and T+1 model for small and medium-sized enterprises to ensure data security, freshness, accuracy and efficiency of strategic cooperation with small and medium-sized enterprises.
Big data can accurately acquire customers, DPI, SDK capture, and you can specify the platform to acquire customers to ensure the accuracy of the data.
Websites visited in mobile data mode
Apps used in mobile phone traffic mode
The above data are captured and analyzed by establishing data models. You can filter multi-dimensional data information such as region, age, gender, number of visits, browsing time, etc., and accurately locate target groups.
Many platforms are very interested in the capture principles of operator big data. As a person who has been working in operator big data for many years, here I will answer the basic principles of operator big data capture!
Operator big data mainly distributes two methods and types: modeling capture and operator big data data interface real-time scheduling! Let’s first talk about the operator’s big data modeling and capture technology: mainly by establishing a data model to analyze such as website real-time visitor data, mobile app active user data, 400 phone calls, landline call record data, receiving SMS number user data, keywords Searcher data, etc., can be provided by any of the above platforms! You can also filter functions such as region, gender, age, occupation, hobbies, number of visits, call duration, etc. on this dimension.
Let’s talk about the real-time scheduling of the operator’s big data data interface: Generally speaking, it is for those who have website development rights and can implant programs to conduct real-time analysis of visitor data.
By implanting the internal program of the website server, the operator’s data interface is connected to the website in real time, so that the operator authorizes it. If a visitor visits in real time, it will be called back to the TXT document specified by the owner of the website in real time. Generally, from the time of access to Documents automatically generate data in just milliseconds. The main applications of real-time modeling and capture of big data for general operators are enterprises, industries, and sales personnel making outbound calls to acquire customers.
The real-time scheduling of the operator’s big data interface is mainly convenient for website promoters, or companies bidding for websites, and website owners to understand the visitor data of all their websites. So as to conduct business better!
When everyone browses these apps and web pages, they leave their own traces. Operators have all our Internet access data and communication data, such as which web pages and websites we browse, which apps and mini programs we use, which keywords we search for, and which phone numbers we call!
We have signed formal service contracts with the three major operators of China Mobile, China Unicom, and China Telecom, and can obtain information on website and app visits, and can instantly capture the mobile phone numbers of visitors.
The basic principle is that when a visitor uses a mobile phone to open traffic mode to browse the website and APP, a hot mark will be generated in the operator’s system software. Through data modeling, the visitor’s mobile phone number, region, and gender can be analyzed. What websites and content are browsed, etc., can be finally analyzed and mined from the operator’s big data to find out the visitor information and mobile phone numbers needed by the enterprise.