China Mobile, China Unicom, and China Telecom are implementing big data precise customer acquisition services. Carrier big data precise customer acquisition business can help different industries and different companies save customer acquisition marketing and promotion costs, on average, it can help each company save 30%-50% of the total promotion cost, and the customer acquisition rate can effectively increase 15%-30 Around %, the big data of operators will become a means of gaining customers in the daily promotion and marketing of many enterprises. This shows that it has become a general trend to move from traditional operations to operator big data to accurately acquire customers.
The three major telecommunications operators have accumulated user data for many years, such as user online behavior, user communication behavior, user consumption behavior and other integrated telecommunications business structured data. Carrier big data data sources for accurate customer acquisition, real-time visitor data from websites and web pages, high-frequency active user data of mobile apps, 400 calls, real-time caller data for fixed lines, caller and called call records, and real-time recipients of SMS numbers Data, keyword searcher data, etc.
The specific situation of operator big data application in different industries
The main industries where domestic operators' big data can be used by customers:
1. Education industry: such as academic promotion, vocational education, education training, K12 education, etc., real-time accurate customer resource data can be captured through operator big data modeling, such as education-related websites, capture real-time visitors, and related education vertical apps It can capture active users, 400 education-related calls, fixed-line phones can capture caller data, caller and called call records. Or related education websites, newly registered users of the app can also crawl in real time.
2. Decoration industry: such as new house decoration, second-hand house decoration, villa decoration, commercial decoration, etc., real-time accurate customer resource data can be captured through operator big data modeling, such as decoration-related websites, capture real-time visitors, and related decoration verticals APP can capture active users, 400 phone calls related to decoration, fixed line can capture caller data, caller and called call records. Or related decoration websites, newly registered users of the app can also capture them in real time.
3. Real estate industry: such as new houses, second-hand houses, commercial real estate, tourism real estate, etc., can capture real-time accurate customer resource data through operator big data modeling, such as real estate-related websites, capture real-time visitors, and related real estate vertical APPs Grab active users, 400 calls related to real estate, fixed-line phone can grab caller data, caller and called call records. Or related real estate websites, new registered users of the app can also crawl in real time.
Automobiles, finance, corporate services, industrial and commercial finance and taxation, lawyers, investment promotion, etc. can capture the above-mentioned platforms in real time based on operator big data modeling to obtain real-time accurate customer groups.
How does operator big data obtain accurate customer data resources?
According to the user’s online behavior, communication behavior, location of active users, terminal information and consumption information, etc., for users who use 2G, 3G, 4G, and 5G operators’ mobile terminal traffic, use modeling to analyze the user’s related goals Websites, mobile apps, 400 phones, how much data is consumed by fixed-line Internet access, how much phone bills are consumed, what content are browsed, etc., and then use user behavior characteristics to screen accurate customer groups that meet the relevant industries, data desensitization, and provide outbound call systems To relevant companies, relevant companies can directly dial the targeted customer groups through the system for precise reach, conversion, and transaction.