CN116596596A - Advertisement putting effect data processing method, device, equipment and storage medium - Google Patents
Advertisement putting effect data processing method, device, equipment and storage medium Download PDFInfo
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Abstract
The application discloses a method, a device, equipment and a storage medium for processing advertisement putting effect data, which relate to the technical field of accurate marketing and comprise the following steps: acquiring a plurality of advertisement links; putting advertisements corresponding to a plurality of advertisement links to a plurality of corresponding media platforms, so that the media platforms count operation information of target clients aiming at the advertisements; receiving the operation information fed back by the media platform, and converting and attributing the operation information according to a preset operation conversion event to obtain processed data; analyzing the processed data, and displaying a corresponding analysis result on a preset interaction platform. Therefore, the application can analyze the advertisement effect of a plurality of advertisements under a plurality of media platforms, and can compare and analyze the advertisement effect in a multi-dimensional way through advertisement links and preset operation conversion events, thereby helping to improve the advertisement strategy.
Description
Technical Field
The application relates to the technical field of accurate marketing, in particular to a method, a device, equipment and a storage medium for processing advertisement putting effect data.
Background
Currently, obtaining users through internet advertising has become an important guest-obtaining means for mobile internet products. Along with the development of the digital wave of the current enterprises, the advertisement platform is continuously upgraded and optimized with advertisement delivery algorithms and models through technologies such as cloud computing, big data, machine learning and the like, so that the accurate delivery capacity of the platform is improved. Advertisers are also increasingly concerned with the impression of accurate marketing. How to evaluate the delivery conversion data under different media platforms is important to timely sense the delivery effect of advertisers, adjust and optimize the delivery strategy and control the delivery cost.
In most cases, advertisements are put on a plurality of media platforms at the same time, if the putting effect is to be observed, different media platforms need to be logged in, the operation is complex, and the comparison analysis is not easy to carry out; the effect data provided by the media platform is not comprehensive enough, and only can cover the data of links such as cost, exposure, clicking, clue collection, app downloading, target conversion and the like; for advertisers, the conversion data in some products has certain privacy, and is not suitable for being transmitted back to the advertisers, and the conversion effect cannot be estimated more comprehensively when the effect data is observed in a unified dimension because the data cannot be checked through a media platform. In view of the above, how to realize efficient contrast analysis of the delivery effect data of different advertisements on different media platforms is a problem to be solved in the art.
Disclosure of Invention
In view of the above, the present application aims to provide a method, a device and a storage medium for processing advertisement effect data, which can have the following specific schemes:
in a first aspect, the present application provides a method for processing advertisement delivery effect data, including:
acquiring a plurality of advertisement links;
putting advertisements corresponding to a plurality of advertisement links to a plurality of corresponding media platforms, so that the media platforms count operation information of target clients aiming at the advertisements;
receiving the operation information fed back by the media platform, and converting and attributing the operation information according to a preset operation conversion event to obtain processed data;
analyzing the processed data, and displaying a corresponding analysis result on a preset interaction platform.
Optionally, the acquiring a plurality of advertisement links includes:
marking a unique channel identifier on the obtained link in the H5 preregistered advertisement form to obtain the advertisement link; the unique channel identifier is used for identifying a released media platform, an agent, a releasing strategy, a link number and a media internal subdivision platform.
Optionally, the analyzing the processed data and displaying a corresponding analysis result on a preset interaction platform includes:
classifying the processed data according to the unique channel identifier to obtain advertisement delivery data corresponding to each advertisement;
analyzing the advertisement putting data, and displaying corresponding analysis results on the preset interaction platform.
Optionally, the media platform counts operation information of the target client for the advertisement, including:
exposing the advertisement to the target client through the media platform;
counting the exposure times of the advertisement and clicking data of the target client for the advertisement;
after the target client downloads a corresponding program through the advertisement, counting click events generated by the target client through the program;
and generating the operation information for the advertisement based on the exposure times, the click data and the click event.
Optionally, the counting the number of times of exposure of the advertisement and the click data of the target client for the advertisement includes:
and counting the exposure times of the advertisement and the click data of the target client for the advertisement according to a preset counting interval time.
Optionally, after the target client downloads the corresponding program through the advertisement, counting click events generated by the target client through the program, including:
and counting the click events generated by the target client through the program according to preset counting interval time.
Optionally, the converting attribution processing is performed on the operation information according to a preset operation converting event to obtain processed data corresponding to the advertisement, including:
converting and attributing the exposure times and the click data in the operation information according to the preset operation conversion event to obtain a first processed result;
converting and attributing the click event in the operation information according to the preset operation conversion event to obtain a second processed result;
and obtaining the processed data corresponding to the advertisement based on the first processed result and the second processed result.
In a second aspect, the present application provides an advertisement delivery effect data processing apparatus, including:
the advertisement link acquisition module is used for acquiring a plurality of advertisement links;
the advertisement putting module is used for putting advertisements corresponding to the advertisement links to the corresponding media platforms so that the media platforms count operation information of target clients for the advertisements;
the operation conversion module is used for receiving the operation information fed back by the media platform, converting the operation information according to a preset operation conversion event and performing attribution processing on the conversion result to obtain processed data;
and the data analysis module is used for analyzing the processed data and displaying a corresponding analysis result on a preset interaction platform.
In a third aspect, the present application provides an electronic device, comprising:
a memory for storing a computer program;
and a processor for executing the computer program to implement the advertising effectiveness data processing method as described above.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, implements an advertising effectiveness data processing method as described above.
Thus, the application firstly obtains a plurality of advertisement links; then putting advertisements corresponding to a plurality of advertisement links to a plurality of corresponding media platforms, so that the media platforms count operation information of target clients aiming at the advertisements; receiving the operation information fed back by the media platform, and converting and attributing the operation information according to a preset operation conversion event to obtain processed data; and then analyzing the processed data, and displaying a corresponding analysis result on a preset interaction platform. In this way, the application can throw different advertisements into corresponding media platforms through advertisement links, acquire operation information corresponding to the advertisements in the different media platforms, process the operation information by utilizing a preset operation conversion event, and display corresponding analysis results through a preset interaction platform; therefore, the situation that staff need to log in various media platforms to compare advertisement putting effects can be avoided by utilizing advertisement links, further, the advertisement putting effects in each media platform can be conveniently and rapidly compared and analyzed, deeper data can be analyzed according to conversion events, and accordingly advertisement putting strategies and putting costs can be optimized.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for processing advertisement delivery effect data;
FIG. 2 is a flowchart of a specific advertisement delivery effect data processing method disclosed in the present application;
FIG. 3 is a schematic diagram of a data processing device for advertisement delivery effect according to the present application;
fig. 4 is a block diagram of an electronic device according to the present disclosure.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the embodiment of the application discloses a method for processing advertisement putting effect data, which comprises the following steps:
step S11, a plurality of advertisement links are obtained.
In the embodiment of the application, a plurality of advertisement links are firstly obtained, and it can be understood that one advertisement link corresponds to one advertisement; in a specific embodiment, the obtaining a plurality of advertisement links may include: marking a unique channel identifier on the obtained link in the H5 preregistered advertisement form to obtain the advertisement link; the unique channel identifier is used for identifying a released media platform, an agent, a releasing strategy, a link number and a media internal subdivision platform. Specifically, an advertisement link in an H5 preregistration format can be obtained, and the link is marked with a displacement aggregation identifier; the unique channel identification can distinguish information such as advertisements corresponding to advertisement links, media platforms to be put by the advertisements, corresponding agents, used putting strategies, numbers of the advertisement links, more subdivided platforms in each media platform and the like.
And step S12, putting advertisements corresponding to the advertisement links to the corresponding media platforms so that the media platforms count operation information of target clients for the advertisements.
In the embodiment of the application, the corresponding advertisement can be put on the corresponding media platform according to the advertisement link, so that the operation information of the target client on the advertisement can be counted through the media platform. In a specific embodiment, the media platform statistics of the operation information of the target client for the advertisement may include: exposing the advertisement to the target client through the media platform; counting the exposure times of the advertisement and clicking data of the target client for the advertisement; after the target client downloads a corresponding program through the advertisement, counting click events generated by the target client through the program; and generating the operation information for the advertisement based on the exposure times, the click data and the click event. Specifically, the media platform can expose the advertisement to the corresponding target client, and the media platform can count the exposure times of the advertisement and click data of the target client on the advertisement; it should be noted that the target client can download the corresponding program through the advertisement, and then can count the click event of the target user in the corresponding program; thus, the operation information corresponding to the advertisement can be generated according to the exposure times, clicking data and clicking events related to the advertisement.
And step S13, receiving the operation information fed back by the media platform, and converting and attributing the operation information according to a preset operation conversion event to obtain processed data.
In this embodiment, operation information fed back by the media platform may be received, and then conversion attribution processing may be performed on the operation information according to a preset operation conversion event, so that processed data may be obtained. In a specific embodiment, the converting attribution processing of the operation information according to a preset operation converting event to obtain processed data corresponding to the advertisement may include: converting and attributing the exposure times and the click data in the operation information according to the preset operation conversion event to obtain a first processed result; converting and attributing the click event in the operation information according to the preset operation conversion event to obtain a second processed result; and obtaining the processed data corresponding to the advertisement based on the first processed result and the second processed result. Specifically, conversion attribution processing can be performed on the exposure times, click data and click events in the operation information respectively; it can be understood that the exposure times and click data are the relevant exposure information of the advertisement counted by the media platform; the click event is information generated by the target client in the program corresponding to the advertisement, and can comprise the number of the clients, the number of the high-quality clients, the average credit line, the number of the first clients, the average first amount of the first money, and the like. In a specific embodiment, conversion attribution processing can be performed on the exposure times and click data in the operation information according to a preset operation conversion event, and a first processed result can be obtained; correspondingly, conversion attribution processing can be carried out on click events in the operation information according to preset operation conversion events, so that a second processed result can be obtained; the processed data corresponding to the advertisement may then be derived based on the first processed result and the second processed result.
And S14, analyzing the processed data, and displaying a corresponding analysis result on a preset interaction platform.
In a specific embodiment, analyzing the processed data and displaying a corresponding analysis result on a preset interaction platform may include: classifying the processed data according to the unique channel identifier to obtain advertisement delivery data corresponding to each advertisement; analyzing the advertisement putting data, and displaying corresponding analysis results on the preset interaction platform. Specifically, the processed data may be classified by a unique channel identifier, for example, the processed data may be classified according to different media platforms, or the processed data may be classified according to different agents, or the processed data may be classified according to a delivery policy and a link number of each advertisement link; therefore, multi-dimensional advertisement putting data corresponding to each advertisement can be obtained, then the advertisement putting data can be analyzed, and corresponding analysis results are displayed on a preset interaction platform.
Therefore, according to the application, different advertisements can be put into the corresponding media platforms through the advertisement links, and then the operation information corresponding to the advertisements in the different media platforms is acquired, wherein the operation information comprises advertisement exposure times, click data of the advertisements by the target clients and click events in the programs after the programs corresponding to the advertisements are downloaded by the target clients; processing the operation information by using a preset operation conversion event, and displaying a corresponding analysis result through a preset interaction platform; therefore, the situation that staff need to log in a plurality of media platforms to compare advertisement putting effects can be avoided by utilizing the advertisement links, the putting data of each advertisement can be classified and compared according to the unique channel identification corresponding to the advertisement links, and corresponding advertisement putting strategies and putting cost can be optimized according to the putting data of each advertisement in the follow-up.
The following embodiments will specifically describe related steps of obtaining operation information corresponding to an advertisement through a media platform, and as shown in fig. 2, an embodiment of the present application discloses a method for processing advertisement delivery effect data, including:
step S21, a plurality of advertisement links are obtained.
And step S22, exposing the advertisement to the target client through the media platform.
And S23, counting the exposure times of the advertisement and the clicking data of the target client for the advertisement, and counting clicking events generated by the target client through the program after the target client downloads the corresponding program through the advertisement.
In the embodiment of the present application, the counting the exposure times of the advertisement and the click data of the target client for the advertisement may include: and counting the exposure times of the advertisement and the click data of the target client for the advertisement according to a preset counting interval time. Specifically, the number of exposure times corresponding to the advertisement and the click data of the target client on the advertisement can be counted according to the preset counting interval time, for example, the number of exposure times of one-time advertisement and the click data of the target client on the advertisement are counted. Accordingly, after the target client downloads the corresponding program through the advertisement, counting the click event generated by the target client through the program may include: and counting the click events generated by the target client through the program according to preset counting interval time. For example, the click event of the target client in the program corresponding to the advertisement can be counted every two hours.
It should be noted that, since the acquiring exposure times, the clicking data and the acquiring clicking events are different acquiring processes, the former may be pulled through Open Api (Open interface), the clicking events in the latter program may be summarized through data running, the result data of two tasks may be associated at the hour level, a task control table is established to record the relevant task completion identifier, and when it is determined that the tasks of two intervals are completed, the operation of subsequent data association and summarization is performed, that is, step S24 below. Furthermore, a data re-running trigger can be set, a trigger is established on the task control table, and if the task identifier is found to be updated, the task of re-summarizing the designated hours can be triggered, so that the automatic updating of re-running data is ensured.
Step S24, generating the operation information for the advertisement based on the exposure times, the click data and the click event.
And S25, receiving the operation information fed back by the media platform, and converting and attributing the operation information according to a preset operation conversion event to obtain processed data.
And S26, analyzing the processed data, and displaying a corresponding analysis result on a preset interaction platform.
For more specific processing procedures in steps S21, S22, S24, S25 and S26, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
Therefore, in the embodiment of the application, the corresponding information acquisition task can be set according to the preset statistical interval time so as to acquire the exposure times, clicking data and clicking events of the target clients in the corresponding programs of the advertisements in the corresponding interval time; further, a trigger may be configured to trigger a task to reacquire information during a corresponding period when an update occurs in the task identification, so as to obtain updated information. Therefore, the changed data can be updated in time, and the final consistency of the effect data is ensured.
As shown in fig. 3, an embodiment of the present application discloses an advertisement delivery effect data processing device, including:
an advertisement link acquisition module 11, configured to acquire a plurality of advertisement links;
an advertisement putting module 12, configured to put advertisements corresponding to a plurality of advertisement links to a plurality of corresponding media platforms, so that the media platforms count operation information of a target client for the advertisements;
the operation conversion module 13 is configured to receive the operation information fed back by the media platform, and perform conversion attribution processing on the operation information according to a preset operation conversion event, so as to obtain processed data;
the data analysis module 14 is configured to analyze the processed data and display a corresponding analysis result on a preset interaction platform.
Therefore, different advertisements can be put into the corresponding media platforms through the advertisement links, operation information corresponding to the advertisements in the different media platforms is acquired, the operation information is processed through a preset operation conversion event, and corresponding analysis results can be displayed through the preset interaction platform; therefore, the situation that staff need to log in various media platforms to compare advertisement putting effects can be avoided by utilizing advertisement links, further, the advertisement putting effects in each media platform can be conveniently and rapidly compared and analyzed, deeper data can be analyzed according to conversion events, and accordingly advertisement putting strategies and putting costs can be optimized.
In a specific embodiment, the advertisement link acquisition module 11 may include:
the link identification unit is used for marking a unique channel identification on the obtained link in the H5 preregistration advertisement form to obtain the advertisement link; the unique channel identifier is used for identifying a released media platform, an agent, a releasing strategy, a link number and a media internal subdivision platform.
In a specific embodiment, the data analysis module 14 may include:
the data classification unit is used for classifying the processed data according to the unique channel identification so as to obtain advertisement delivery data corresponding to each advertisement;
and the data analysis unit is used for analyzing the advertisement putting data and displaying corresponding analysis results on the preset interaction platform.
In a specific embodiment, the advertisement delivery module 12 may include:
an advertisement exposure unit for exposing the advertisement to the target client through the media platform;
the first data statistics sub-module is used for counting the exposure times of the advertisement and the click data of the target client for the advertisement;
the second data statistics sub-module is used for counting click events generated by the target client through the program after the target client downloads the corresponding program through the advertisement;
and an operation information generation unit configured to generate the operation information for the advertisement based on the exposure times, the click data, and the click event.
In another specific embodiment, the first data statistics sub-module may include:
and the first data statistics unit is used for counting the exposure times of the advertisement and the click data of the target client for the advertisement according to a preset statistics interval time.
In yet another specific embodiment, the second data statistics unit may include:
and the second data statistics unit is used for counting the click events generated by the target client through the program according to preset statistics interval time.
In a specific embodiment, the operation conversion module 13 may include:
the first operation conversion unit is used for converting the exposure times and the click data in the operation information according to the preset operation conversion event to obtain a first processed result;
the second operation conversion unit is used for converting the click event in the operation information according to the preset operation conversion event to perform attribution processing to obtain a second processed result;
and the data conversion unit is used for obtaining the processed data corresponding to the advertisement based on the first processed result and the second processed result.
Further, the embodiment of the present application further discloses an electronic device, and fig. 4 is a block diagram of an electronic device 20 according to an exemplary embodiment, where the content of the diagram is not to be considered as any limitation on the scope of use of the present application.
Fig. 4 is a schematic structural diagram of an electronic device 20 according to an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input output interface 25, and a communication bus 26. Wherein the memory 22 is configured to store a computer program that is loaded and executed by the processor 21 to implement relevant steps in the advertisement delivery effect data processing method disclosed in any of the foregoing embodiments. In addition, the electronic device 20 in the present embodiment may be specifically an electronic computer.
In this embodiment, the power supply 23 is configured to provide an operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and an external device, and the communication protocol to be followed is any communication protocol applicable to the technical solution of the present application, which is not specifically limited herein; the input/output interface 25 is used for acquiring external input data or outputting external output data, and the specific interface type thereof may be selected according to the specific application requirement, which is not limited herein.
The memory 22 may be a carrier for storing resources, such as a read-only memory, a random access memory, a magnetic disk, or an optical disk, and the resources stored thereon may include an operating system 221, a computer program 222, and the like, and the storage may be temporary storage or permanent storage.
The operating system 221 is used for managing and controlling various hardware devices on the electronic device 20 and computer programs 222, which may be Windows Server, netware, unix, linux, etc. The computer program 222 may further include a computer program that can be used to perform other specific tasks in addition to the computer program that can be used to perform the advertising effectiveness data processing method performed by the electronic device 20 as disclosed in any of the previous embodiments.
Further, the application also discloses a computer readable storage medium for storing a computer program; wherein the computer program when executed by the processor implements the advertising effectiveness data processing method disclosed above. For specific steps of the method, reference may be made to the corresponding contents disclosed in the foregoing embodiments, and no further description is given here.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing has outlined rather broadly the more detailed description of the application in order that the detailed description of the application that follows may be better understood, and in order that the present principles and embodiments may be better understood; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (10)
1. The advertisement putting effect data processing method is characterized by comprising the following steps of:
acquiring a plurality of advertisement links;
putting advertisements corresponding to a plurality of advertisement links to a plurality of corresponding media platforms, so that the media platforms count operation information of target clients aiming at the advertisements;
receiving the operation information fed back by the media platform, and converting and attributing the operation information according to a preset operation conversion event to obtain processed data;
analyzing the processed data, and displaying a corresponding analysis result on a preset interaction platform.
2. The method for processing advertisement delivery effect data according to claim 1, wherein the obtaining a plurality of advertisement links comprises:
marking a unique channel identifier on the obtained link in the H5 preregistered advertisement form to obtain the advertisement link; the unique channel identifier is used for identifying a released media platform, an agent, a releasing strategy, a link number and a media internal subdivision platform.
3. The method for processing advertisement delivery effect data according to claim 2, wherein the analyzing the processed data and displaying the corresponding analysis result on a preset interaction platform comprises:
classifying the processed data according to the unique channel identifier to obtain advertisement delivery data corresponding to each advertisement;
analyzing the advertisement putting data, and displaying corresponding analysis results on the preset interaction platform.
4. A method of processing advertisement delivery effect data according to any one of claims 1 to 3, wherein the media platform statistics of operation information of a target client for the advertisement includes:
exposing the advertisement to the target client through the media platform;
counting the exposure times of the advertisement and clicking data of the target client for the advertisement;
after the target client downloads a corresponding program through the advertisement, counting click events generated by the target client through the program;
and generating the operation information for the advertisement based on the exposure times, the click data and the click event.
5. The advertisement delivery effect data processing method according to claim 4, wherein the counting of the number of exposures of the advertisement and the click data of the target client for the advertisement includes:
and counting the exposure times of the advertisement and the click data of the target client for the advertisement according to a preset counting interval time.
6. The method for processing advertisement delivery effect data according to claim 4, wherein said counting click events generated by said target client through said program after said target client downloads the corresponding program through said advertisement comprises:
and counting the click events generated by the target client through the program according to preset counting interval time.
7. The method for processing advertisement delivery effect data according to claim 4, wherein the converting attribution processing is performed on the operation information according to a preset operation conversion event to obtain processed data corresponding to the advertisement, and the method comprises:
converting and attributing the exposure times and the click data in the operation information according to the preset operation conversion event to obtain a first processed result;
converting and attributing the click event in the operation information according to the preset operation conversion event to obtain a second processed result;
and obtaining the processed data corresponding to the advertisement based on the first processed result and the second processed result.
8. An advertising effectiveness data processing apparatus, comprising:
the advertisement link acquisition module is used for acquiring a plurality of advertisement links;
the advertisement putting module is used for putting advertisements corresponding to the advertisement links to the corresponding media platforms so that the media platforms count operation information of target clients for the advertisements;
the operation conversion module is used for receiving the operation information fed back by the media platform, converting the operation information according to a preset operation conversion event and performing attribution processing on the conversion result to obtain processed data;
and the data analysis module is used for analyzing the processed data and displaying a corresponding analysis result on a preset interaction platform.
9. An electronic device, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the advertising effectiveness data processing method of any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program which, when executed by a processor, implements the advertising effectiveness data processing method of any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310692300.XA CN116596596A (en) | 2023-06-12 | 2023-06-12 | Advertisement putting effect data processing method, device, equipment and storage medium |
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| CN202310692300.XA CN116596596A (en) | 2023-06-12 | 2023-06-12 | Advertisement putting effect data processing method, device, equipment and storage medium |
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| CN116596596A true CN116596596A (en) | 2023-08-15 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117422502A (en) * | 2023-10-26 | 2024-01-19 | 广州渠道无忧网络技术服务有限公司 | Advertisement delivery consumption data processing method, system, equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117422502A (en) * | 2023-10-26 | 2024-01-19 | 广州渠道无忧网络技术服务有限公司 | Advertisement delivery consumption data processing method, system, equipment and storage medium |
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