Advertisement feature analysis method and system based on high-value users
A feature analysis and high-value technology, applied in the field of big data, can solve problems such as high cost of acquiring high-value customers, lack of pertinence in acquiring high-value customers, and inability to clearly obtain key advertising characteristics of high-value customers, so as to achieve auxiliary The effects of targeted delivery decisions, increased revenue, and reduced input costs
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Embodiment 1
[0051] figure 1 A flow chart of an advertisement feature analysis method based on high-value users provided in Embodiment 1 of the present application is given. The advertisement feature analysis method based on high-value users provided in this embodiment can be analyzed by the high-value user-based advertisement feature analysis method The high-value user-based advertising feature analysis device can be implemented by software and / or hardware. The high-value user-based advertising feature analysis device can be composed of two or more physical entities, or a physical Entity composition. Generally speaking, the high-value user-based advertisement feature analysis device may be a computing device such as a server host.
[0052] The following description will be made by taking the high-value user-based advertisement characteristic analysis device as an example for performing the high-value user-based advertisement characteristic analysis method. refer to figure 1 , the high-...
Embodiment 2
[0100] On the basis of the above examples, Image 6 It is a schematic structural diagram of an advertisement feature analysis system based on high-value users provided in Embodiment 2 of the present application. refer to Image 6 , the high-value user-based advertisement feature analysis system provided in this embodiment specifically includes: a determination module 31 , a first calculation module 32 and a second calculation module 33 .
[0101] Wherein, the determination module 31 is used to acquire user data, and determine a corresponding high-value user from the user data using predefined indicators;
[0102] The first calculation module 32 is used to extract the advertisement side data corresponding to the high-value user, calculate the average contribution rate of each advertisement feature to the acquisition of the high-value user based on the advertisement side data, and calculate the corresponding advertisement according to the average contribution rate The characte...
Embodiment 3
[0107]Embodiment 3 of the present application provides an electronic device, referring to Figure 7 , the electronic device includes: a processor 31 , a memory 32 , a communication module 33 , an input device 34 and an output device 35 . The memory 32, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as the program instructions / modules corresponding to the high-value user-based advertising feature analysis method described in any embodiment of the present application (for example, , the determination module, the first calculation module and the second calculation module of the high-value user-based advertisement characteristic analysis system). The communication module 33 is used for data transmission. The processor 31 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory, that is, realizes the above-ment...
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