Now is the age of data explosion, and big data itself is often placed high expectations.
Putting aside the various types and classifications of big data, let's just talk about what kind of big data enterprises need, and which big data is more suitable for enterprises to acquire customers?
Operator big data is more suitable for enterprises to acquire customers
How can companies make good use of big data, and is there still room for traditional customer acquisition methods? This is worth the thinking of all bosses and big data practitioners.
In fact, there is a difference between big data and big data. The difference lies in the accumulation of data, the growth rate and diversity of data, and the real-time nature.
What is data first? Data
can be said in general terms. Anything recorded on a certain carrier that can reflect certain information in nature and human society can be called data. Numbers are data, text is also data, images, audio, video, etc. are all data.
What is big data? Large data (Big the Data )
Simply put, the relentless growth of data in various fields, and every three years will grow to double the amount of data collection.
What is big data for operators?
Operator big data is the comprehensive user data of China Mobile, China Unicom, and China Telecom. It is also a branch of big data, whether it is the accumulation of data volume, the source and form of data, and the diversity and real-time nature of data. , Compared with other big data systems, it is qualitatively beyond. Through operator big data analysis, the originally isolated data becomes interoperable. Through the big data analysis of operators, enterprises can have a new understanding in the era of big data and create new and updated value.
After the emergence of operator big data, precision marketing has become possible and has even been achieved. In the era of big data, every company will actively look for accurate data. It is not easy to find a reliable data source that can be cooperated for a long time.
Operator big data will generate data and record real-time data for the daily surfing behavior and communication behavior of 1.5 billion users, such as clicking and browsing webpages, using mobile apps, making calls, browsing small programs, and searching keywords. Information about the region, gender, occupation, age, preferences, consumption ability, etc., is used to analyze the complete user portrait through modeling, and is mined from massive data through industry tags, etc., and provided to related cooperative companies for conversion and transaction acquisition. service.
Operator big data can not only be used by enterprises to acquire customers, but also benefit individuals. For example, many employees of sales-oriented companies are not only under pressure from competition among enterprises, but also between employees and employees each month. Most of the customer leads that the company can provide are few and far between, and it is miserable to get customers by pushing it on its own. Operator big data can easily solve the sales staff's precise customer acquisition needs.
In the era of big data, the authenticity of data is the greatest proof of valid data for enterprises and individuals. Because the characteristic of big data is diversity, there is a certain correlation between data from different sources and different dimensions.
Operator big data is the soul of accurate customer acquisition for enterprises in the new era
Operator big data itself can stand scrutiny. Through the establishment of a data model, it is possible to intercept and analyze websites, apps, 400 telephones, fixed phones, applets, keywords and other platforms for real-time browsing, access, activity, login, caller, searcher user data information, and related companies can use outbound calls, Get customers through contact methods such as SMS, confirm intention, achieve conversion, and finally make a deal.
Therefore, in the era of big data, there is an essential difference between data and data, and the purpose of data is also very different. Operator big data explores and tries to acquire customers for enterprises. For the new era of data, these methods and technologies also bring huge opportunities to enterprises.