Traffic is a major pain point for enterprise development. As the market structure continues to change, obtaining traffic has increasingly become an important way for enterprises to get rid of development difficulties. How to achieve their own traffic breakthrough in the huge market competition has also become the primary problem that enterprises must solve.
The competition in the loan industry is also very intense. If a company wants to have its own space in this society where the jungle can eat the jungle, it must have and find its own and suitable promotion and customer acquisition marketing methods. Through its own powerful modeling and big data computing technology, operators' big data can provide some very accurate customer resources and target customer analysis for traditional industries.
1. Operators’ Big Data Customer Acquisition Method
When the era of big data comes, operators' big data models are mainly used in three aspects:
One is to accurately locate users and screen out users who meet the basic requirements
The second is to conduct user analysis, analyzing user hobbies, habits, trajectories, regions, etc.
The third is to provide personalized services, that is, big data provides personalized solutions through understanding the needs of effective customers, so that customers can enjoy privately customized services.
Carrier big data can analyze and mine user data on corresponding platforms and tags by establishing a data model, capture user data, establish a complete user portrait, and finally provide users with different customer acquisition needs according to the industry. Accurate industry labels are attached to the data to achieve accurate customer acquisition.
The special feature of the big data customer acquisition model is its unique capture method, which breaks through the traditional traffic capture method, makes advertising more accurate and effective, and further reduces the overall customer acquisition cost, thereby bringing brand and enterprise Higher return on investment, let's take a look at its unique crawling methods:
Relevant companies can specify URLs:
real-time crawling of end product users and visitors who browse relevant URLs, web pages.
About the company-specific APP:
Instantly obtain the terminal product users who have browsed the relevant APP, and apply for registered users.
For company-specific 400/landline telephones:
Instantly retrieve incoming and outgoing communication records for end-product users dialing through relevant 400/landline telephones.
Relevant company-specific short message numbers:
immediately intercept terminal product user groups who have received relevant short message numbers.
2. The importance of selection in the era of big data
Adapt to multiple fields
As an emerging industry, operator big data has long been the most attractive and promising sales market in the entire information industry chain. It is suitable for many traditional industries such as real estate, education, finance, and e-commerce. After the operator's big data is closely connected with the current relevant industry chain, it will also show great practical value in the fields of artificial intelligence technology, autonomous driving, financial industry business services, and scientific research in the future .
The generation of big data of operators can perfectly solve the problem of obtaining customers in various fields and companies, and can also assist various fields and companies to continuously and steadily provide accurate data statistics, so that various fields and companies no longer need to work hard to find accurate data. Annoyed by data information.
Reasonable use of traffic means and choosing a better, more advanced, and more scientific marketing model is of great help to companies in breaking through the traffic dilemma. The operator's big data model is undoubtedly an excellent choice, providing new ideas, new methods, and new breakthroughs for many companies that are following suit.