1. Operator big data analysis
1. Application cases
Operator big data can be applied to customer acquisition scenarios in a single industry and different industries:
Real estate: A house is a must for everyone. In the real estate industry, companies can obtain the intended customer groups they need in real time based on big data from operators.
The big data of operators can be used to obtain and analyze real estate-related real estate websites that are being promoted in real time to intercept visitors. Analyze real estate vertical apps to acquire active users and new registered users. The 400 consultation telephones and fixed telephones of relevant sales departments left on the promotion webpages of relevant real estate companies can intercept real-time caller data and obtain them in real time.
Education: From English tuition and specialty classes derived from full-time education, to adult education, vocational education, etc., the education industry can obtain real-time intended customer groups that it needs based on big data from operators.
You can use the operator's big data to obtain real-time education related websites that are being promoted to intercept visitors. Analyze education vertical apps to obtain high-frequency active users and newly registered users. 400 fixed-line telephones left by related education websites, intercept real-time caller user data information, etc.
The two industries listed above are based on operator big data analysis of customer acquisition application cases. Operator big data can not only perform data analysis for real estate and education, but also conduct data analysis for the entire industry, and apply customer acquisition: operator big data mainly According to the user's browsing and access information, analyze the user's related preferences, and apply accurate industry labels to the user based on the analysis result. Based on continuous analysis of users’ online behaviors and communication behaviors, the user’s characteristic portraits are generated, and then based on user tags, recommended and deployed to relevant cooperative industries and companies, relevant companies arrange customer service personnel for direct contact, conversion and transaction . — Let me tell you, Pinyin plus zero one
2. Data label
Label division:
basic label
China’s three major operators have a user group of about 1.5 billion, most of which are authenticated by real names. Based on identity information, basic tags can be obtained: gender, birth date, age, region and other related tags, and the information is true and true. Precise.
User behavior label
Behavior tags are the user's online and communication behaviors on the mobile terminal. Based on the user's online and communication behavior log analysis, it can be obtained: comprehensive data tags such as browsing behavior, call behavior, purchasing behavior, consumption preferences, etc.
Labeling rules
Operator big data can be based on different industries and business scenarios of enterprises, and different needs of enterprises for intended customers, and can be customized according to the specific needs of enterprises to obtain intended customer groups:
· Can be filtered according to region, gender, age, website, app visits, visit duration, number of calls, call duration
· Up to T+1 days real-time data can be obtained according to operator big data modeling analysis