CN116823350A - New media advertisement effect evaluation method based on blockchain - Google Patents
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Abstract
The invention discloses a new media advertisement effect evaluation method based on a blockchain, which particularly relates to the field of media evaluation, and comprises a new media advertisement area dividing module, a new media advertisement information acquisition module, a new media advertisement information preprocessing module, a new media advertisement information visualization early warning module, a new media advertisement information processing module, a new media advertisement information analysis module, an advertisement putting effect evaluation module and a new media advertisement information supervision module.
Description
Technical Field
The invention relates to the technical field of media evaluation, in particular to a new media advertisement effect evaluation method based on a block chain.
Background
The blockchain is a novel decentralization information technology, can safely store digital transactions or other data, cannot forge and tamper information, and is gradually developed based on various technical innovations on the blockchain in the field of new media advertising at present, so that a faster, safer and real-time advertising effect evaluation system is built. In the prior art, people can know brands of enterprises, products related to advertisements and functional effects of the products through watching advertisements, and through data monitoring on related data in the new media advertisement putting process, key information of watching advertisements is obtained, and the expression trend of the advertisement effects is known in real time, so that basis is provided for adjustment and optimization of advertisement putting strategies for related personnel, and the advertisement effects are further improved.
However, when the method is actually used, the method still has some defects, such as lack of objectivity in the analysis process, the traditional advertisement analysis only carries out data analysis through one-sided indexes, but ignores advertisement indexes which are not directly collected, so that deviation exists between the advertisement prediction effect and the actual result, and the method is unfavorable for the long-term development of enterprises.
In terms of lack of standardized evaluation in the evaluation method, the conventional advertisement evaluation is generally based on subjective judgment or personal experience, strict quantitative indexes are lacked to quantitatively evaluate the advertisement effect, and the whole process is in semi-intellectualization.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a new media advertisement effect evaluation method based on blockchain, which is used for solving the problems set forth in the above-mentioned background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
new media advertisement area dividing module: the method is used for dividing the target enterprise advertisement putting area into monitoring subareas according to an equal area dividing mode, and marking the monitoring subareas in the target enterprise advertisement putting area as 1 and 2 … … n in sequence.
The new media advertisement information acquisition module: the system comprises a new media advertisement purchasing product acquisition unit, a new media advertisement user watching unit and a new media advertisement spreading unit, wherein the new media advertisement purchasing product acquisition unit, the new media advertisement user watching unit and the new media advertisement spreading unit are used for acquiring appointed parameter data of each monitoring subarea in the advertisement putting area of the target enterprise and transmitting the data to the new media advertisement information preprocessing module.
The new media advertisement information preprocessing module: the system comprises a new media advertisement information acquisition module, a new media advertisement user viewing unit, a new media advertisement propagation unit, a new media advertisement information visualization early warning module, a new media advertisement information early warning module, a program management module and a program management module.
The new media advertisement information visualization early warning module: the method is used for receiving the data information of the new media advertisement information preprocessing module, integrating the data information, establishing an advertisement effect line graph model, and sending the model to the terminal, thereby providing a processing basis for the manager to optimize and adjust advertisements.
New media advertisement information processing module: the method comprises the steps of receiving data information transmitted by a new media advertisement information preprocessing module, obtaining a product purchase state index through advertisement product purchase increment and advertisement product purchase amount before advertisement product release, obtaining an advertisement viewing state index through advertisement total time length, user effective viewing time length and user advertisement viewing times, and obtaining an advertisement popularization state index through advertisement click amount, advertisement exposure amount and keyword advertisement search amount.
New media advertisement information analysis module: the method is used for calculating the advertisement putting effect evaluation coefficient through the product purchase state index, the advertisement watching state index and the advertisement promotion state index.
The advertisement putting effect evaluation module: the method comprises the steps of acquiring advertisement putting effect evaluation coefficients of all monitoring subareas in the advertisement putting area of a target enterprise, comparing the advertisement putting effect evaluation coefficients with a preset advertisement putting effect evaluation coefficient threshold value, if the advertisement putting effect evaluation coefficients are smaller than the threshold value, indicating that the advertisement putting effect of the new media in the target area is abnormal, immediately displaying a corresponding area through a terminal, reporting a result to related personnel, otherwise, indicating that the advertisement putting effect of the new media is normally evaluated, collecting related advertisement effects and strategies, and sending the result to the terminal.
New media advertisement information supervision module: the historical advertisement putting effect evaluation coefficients are used for storing historical advertisement putting effect evaluation coefficients of all monitoring subareas in the advertisement putting area of the target enterprise.
The specific division mode of the new media advertisement area division module is as follows:
and acquiring a new media advertisement putting region on the target enterprise map, determining the new media advertisement putting region as a target region, and dividing the target region into at least three parts according to the equal area.
The specific acquisition mode of the new media advertisement information acquisition module is as follows:
the new media advertisement purchase product acquisition unit is used for acquiring advertisement product purchase increment and advertisement product purchase quantity before advertisement product release of each monitoring subarea in the advertisement release area of the target enterprise, and is respectively marked as cz i 、cq i Where i=1, 2 … … n, i is denoted as the i-th monitoring sub-region number, and transmits the data to the new media advertisement information preprocessing module.
The new media advertisement user watching unit is used for acquiring the total advertisement duration, the effective user watching duration and the user advertisement watching times of each monitoring subarea in the advertisement putting area of the target enterprise, and is respectively marked as gs i 、gx i 、gc i Where i=1, 2 … … n, i is denoted as the i-th monitoring sub-region number, and transmits the data to the new media advertisement information preprocessing module.
The new media advertisement propagation unit is used for acquiring advertisement click quantity, advertisement exposure quantity and keyword advertisement search quantity of each monitoring subarea in the advertisement putting area of the target enterprise, and is respectively marked as cd i 、cb i 、cs i Where i=1, 2 … … n, i is denoted as the i-th monitoring sub-region number, and transmits the data to the new media advertisement information preprocessing module.
The specific preprocessing mode of the new media advertisement information preprocessing module is as follows:
the fluctuation change formula of the advertisement product purchase increment is as follows:
the fluctuation change formula of the purchase quantity before the advertisement product is put in is as follows:
the fluctuation change formula of the total advertisement duration is as follows:
the fluctuation change formula of the effective watching duration of the user is as follows:
the fluctuation change formula of the advertisement watching times of the user is as follows:
the fluctuation change formula of the advertisement click rate is as follows:
the fluctuation change formula of the advertisement exposure is as follows:
the fluctuation change formula of the keyword advertisement search amount is as follows:
the specific mode of the new media advertisement information visualization early warning module is as follows:
according to statistics and analysis of the new media advertisement preprocessing module, data information is converted into a line graph by means of data analysis software, real-time monitoring and analysis of new media advertisement information data are achieved, and processing basis is provided for optimizing and adjusting advertisements for management staff.
The calculation formula of the product purchase state index is as follows:
where α is expressed as a product purchase status index, cz is expressed as an advertising product purchase increment, cz Is provided with Expressed as preset advertisement product purchase increment, cq expressed as advertisement product purchase quantity before delivery, cq Is provided with Expressed as a preset purchase quantity before delivery of the advertising product lambda 1 、λ 2 Expressed as the advertising product purchase increment, other influencing factors of the purchase amount before the advertising product is put in, respectively.
The calculation formula of the advertisement watching state index is as follows:
wherein beta is expressed as an advertisement viewing state index, gx is expressed as a user effective viewing time length, gs is expressed as an advertisement total time length, gc is expressed as a user advertisement viewing frequency, epsilon 1 、ε 2 Expressed as total length of advertisement, and other influencing factors of user advertisement watching times, respectively.
The calculation formula of the advertisement promotion state index is as follows:
wherein ω is denoted as advertisement promotion status index, cd is denoted as advertisement click-through amount, cd Is provided with Expressed as preset advertisement click quantity, cb expressed as advertisement exposure quantity, cb Is provided with Expressed as preset advertisement exposure, cs expressed as keyword advertisement search, cs Is provided with Expressed as preset keyword advertisement search quantity mu 1 、μ 2 、μ 3 Which are respectively expressed as advertisement click quantity, advertisement exposure quantity and keyword advertisement search quantityHe affects the factor.
The calculation formula of the advertisement putting effect evaluation coefficient is as follows:
θ=α×β×ω, where θ is represented as an advertisement delivery effect evaluation coefficient, α is represented as a product purchase state index, β is represented as an advertisement viewing state index, and ω is represented as an advertisement promotion state index.
The overall analysis formula is as follows:
the specific evaluation mode of the advertisement putting effect evaluation module is as follows:
comparing the advertisement putting effect evaluation coefficient theta of each monitoring subarea in the advertisement putting area of the target enterprise with a preset advertisement putting effect evaluation coefficient threshold value delta theta, if theta is smaller than delta theta, indicating that the advertisement putting effect of the new media in the target area is abnormal, immediately displaying the corresponding area through the terminal, reporting the result to related personnel for adjusting and optimizing the advertisement putting strategy, otherwise, indicating that the advertisement putting effect of the new media is normally evaluated, collecting the related advertisement effect and strategy, and transmitting the result to the terminal.
The invention has the technical effects and advantages that:
1. the invention provides a new media advertisement effect evaluation method based on a blockchain, which is characterized in that the method comprises the steps of obtaining advertisement product purchase increment, advertisement product purchase quantity, advertisement total time length, user effective watching time length, user advertisement watching times, advertisement click quantity, advertisement exposure quantity and keyword advertisement searching quantity of each monitoring subarea in a target enterprise advertisement putting area, processing the collected data to remove false information and abnormal value, converting the processed data into a line graph by means of data analysis software, realizing real-time monitoring and analysis of new media advertisement information data, and providing a processing basis for management personnel to optimize and adjust advertisements;
2. according to the invention, the appointed advertisement information parameter data of each monitoring subarea in the target enterprise advertisement putting area is collected, the data information is preprocessed, the processed data are analyzed to obtain the product purchase state index, the advertisement viewing state index and the advertisement promotion state index, the advertisement putting effect evaluation coefficient is further obtained through analysis, the comparison is carried out with the preset advertisement putting effect evaluation coefficient threshold value, and the corresponding processing is carried out, so that the system and the accurate evaluation of the advertisement putting effect are comprehensively obtained through analysis, the formulation and the implementation of an advertisement strategy are better guided, and the maximization of the advertisement effect is promoted.
Drawings
Fig. 1 is a schematic diagram of a system module connection according to the present invention.
FIG. 2 is a schematic diagram of a new media advertisement information collection module according to the present invention.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a new media advertisement effect evaluation method based on a blockchain, which comprises a new media advertisement area dividing module, a new media advertisement information acquisition module, a new media advertisement information preprocessing module, a new media advertisement information visualization early warning module, a new media advertisement information processing module, a new media advertisement information analysis module, an advertisement putting effect evaluation module and a new media advertisement information supervision module.
The new media advertisement area dividing module is connected with the new media advertisement information acquisition module, the new media advertisement information acquisition module is connected with the new media advertisement information preprocessing module, the new media advertisement information preprocessing module is connected with the new media advertisement information visualization early warning module and the new media advertisement information processing module, the new media advertisement information processing module is connected with the new media advertisement information analysis module, the new media advertisement information analysis module is connected with the advertisement putting effect evaluation module, and the advertisement putting effect evaluation module is connected with the new media advertisement information supervision module.
The new media advertisement area dividing module is used for dividing the target enterprise advertisement putting area into monitoring subareas according to an equal area dividing mode, and marking the target enterprise advertisement putting area as 1 and 2 … … n in sequence.
In one possible design, the specific division manner of the new media advertisement area division module is as follows:
and acquiring a new media advertisement putting region on the target enterprise map, determining the new media advertisement putting region as a target region, and dividing the target region into at least three parts according to the equal area.
Referring to fig. 2, the new media advertisement information collection module includes a new media advertisement purchase product collection unit, a new media advertisement user viewing unit, and a new media advertisement propagation unit, configured to collect specified parameter data of each monitoring sub-area in the advertisement delivery area of the target enterprise, and transmit the data to the new media advertisement information preprocessing module.
In one possible design, the specific collection mode of the new media advertisement information collection module is as follows:
the new media advertisement purchase product acquisition unit is used for acquiring advertisement product purchase increment and advertisement product purchase quantity before advertisement product release of each monitoring subarea in the advertisement release area of the target enterprise, and is respectively marked as cz i 、cq i Where i=1, 2 … … n, i is denoted as the i-th monitoring sub-region number, and transmits the data to the new media advertisement information preprocessing module.
The new media advertisement user watching unit is used for acquiring the total advertisement duration, the effective user watching duration and the user advertisement watching times of each monitoring subarea in the advertisement putting area of the target enterprise, and is respectively marked as gs i 、gx i 、gc i Where i=1, 2 … … n, i is denoted as the i-th monitoring sub-region number, and transmits the data to the new media advertisement information preprocessing module.
The new media advertisement propagation unit is used for acquiring the targetThe advertisement click rate, advertisement exposure rate and keyword advertisement search rate of each monitoring subarea in the advertisement putting area of the target enterprise are respectively marked as cd i 、cb i 、cs i Where i=1, 2 … … n, i is denoted as the i-th monitoring sub-region number, and transmits the data to the new media advertisement information preprocessing module.
The new media advertisement information preprocessing module is used for receiving the data information transmitted by the new media advertisement information acquisition module, eliminating the maximum and minimum values in the acquired data, calculating to obtain the parameter data change fluctuation of the new media advertisement purchasing product acquisition unit, the new media advertisement user watching unit and the new media advertisement spreading unit, and transmitting the processed result to the new media advertisement information visualization early warning module.
In one possible design, the specific preprocessing mode of the new media advertisement information preprocessing module is as follows:
the fluctuation change formula of the advertisement product purchase increment is as follows:
the fluctuation change formula of the purchase quantity before the advertisement product is put in is as follows:
the fluctuation change formula of the total advertisement duration is as follows:
the fluctuation change formula of the effective watching duration of the user is as follows:
the fluctuation change formula of the advertisement watching times of the user is as follows:
the fluctuation change formula of the advertisement click rate is as follows:
the fluctuation change formula of the advertisement exposure is as follows:
the fluctuation change formula of the keyword advertisement search amount is as follows:
the new media advertisement information visualization early warning module is used for receiving the data information of the new media advertisement information preprocessing module, integrating the data information, establishing an advertisement effect line graph model, sending the model to the terminal, and providing a processing basis for management personnel to optimize and adjust advertisements.
In one possible design, the specific mode of the new media advertisement information visualization early warning module is as follows:
according to statistics and analysis of the new media advertisement preprocessing module, data information is converted into a line graph by means of data analysis software, real-time monitoring and analysis of new media advertisement information data are achieved, and processing basis is provided for optimizing and adjusting advertisements for management staff.
The new media advertisement information processing module is used for receiving the data information transmitted by the new media advertisement information preprocessing module, obtaining a product purchase state index through advertisement product purchase increment and advertisement product purchase amount before putting, obtaining an advertisement watching state index through advertisement total duration, user effective watching duration and user advertisement watching times, and obtaining an advertisement promotion state index through advertisement click amount, advertisement exposure amount and keyword advertisement searching amount.
In one possible design, the product purchase status index is calculated by the formula:
where α is expressed as a product purchase status index, cz is expressed as an advertising product purchase increment, cz Is provided with Expressed as preset advertisement product purchase increment, cq expressed as advertisement product purchase quantity before delivery, cq Is provided with Expressed as a preset purchase quantity before delivery of the advertising product lambda 1 、λ 2 Expressed as the advertising product purchase increment, other influencing factors of the purchase amount before the advertising product is put in, respectively.
The calculation formula of the advertisement watching state index is as follows:
wherein beta is expressed as an advertisement viewing state index, gx is expressed as a user effective viewing time length, gs is expressed as an advertisement total time length, gc is expressed as a user advertisement viewing frequency, epsilon 1 、ε 2 Expressed as total length of advertisement, and other influencing factors of user advertisement watching times, respectively.
The calculation formula of the advertisement promotion state index is as follows:
wherein ω is denoted as advertisement promotion status index, cd is denoted as advertisement click-through amount, cd Is provided with Expressed as preset advertisement click quantity, cb expressed as advertisement exposure quantity, cb Is provided with Expressed as preset advertisement exposure, cs expressed as keyword advertisement search, cs Is provided with Expressed as preset keyword advertisement search quantity mu 1 、μ 2 、μ 3 Expressed as advertisement click rate, advertisement exposure rate, and other influencing factors of keyword advertisement search rate, respectively.
The new media advertisement information analysis module is used for calculating an advertisement putting effect evaluation coefficient through the product purchase state index, the advertisement watching state index and the advertisement promotion state index.
In one possible design, the calculation formula of the advertisement delivery effect evaluation coefficient is as follows:
θ=α×β×ω, where θ is represented as an advertisement delivery effect evaluation coefficient, α is represented as a product purchase state index, β is represented as an advertisement viewing state index, and ω is represented as an advertisement promotion state index.
The overall analysis formula is as follows:
the advertisement effect evaluation module is used for acquiring advertisement effect evaluation coefficients of all monitoring subareas in the advertisement effect evaluation areas of the target enterprises, comparing the advertisement effect evaluation coefficients with a preset advertisement effect evaluation coefficient threshold value, if the advertisement effect evaluation coefficients are smaller than the threshold value, indicating that the advertisement effect of the new media in the target areas is abnormal, immediately displaying the corresponding areas through the terminal, reporting the result to related personnel, otherwise, indicating that the advertisement effect evaluation of the new media is normal, collecting related advertisement effects and strategies, and sending the result to the terminal.
In one possible design, the specific evaluation mode of the advertisement delivery effect evaluation module is as follows:
comparing the advertisement putting effect evaluation coefficient theta of each monitoring subarea in the advertisement putting area of the target enterprise with a preset advertisement putting effect evaluation coefficient threshold value delta theta, if theta is smaller than delta theta, indicating that the advertisement putting effect of the new media in the target area is abnormal, immediately displaying the corresponding area through the terminal, reporting the result to related personnel for adjusting and optimizing the advertisement putting strategy, otherwise, indicating that the advertisement putting effect of the new media is normally evaluated, collecting the related advertisement effect and strategy, and transmitting the result to the terminal.
The new media advertisement information supervision module is used for storing historical advertisement putting effect evaluation coefficients of all monitoring subareas in the advertisement putting area of the target enterprise.
In this embodiment, it needs to be specifically explained that, by acquiring the advertisement product purchase increment, the advertisement product purchase quantity before advertisement product delivery, the advertisement total time length, the user effective viewing time length, the user advertisement viewing times, the advertisement click quantity, the advertisement exposure quantity and the keyword advertisement search quantity of each monitoring subarea in the target enterprise advertisement delivery area, processing the collected data to remove false information and abnormal values, converting the processed data into a line graph by means of data analysis software, realizing real-time monitoring and analysis of new media advertisement information data, simultaneously analyzing the processed data to obtain a product purchase state index, an advertisement viewing state index and an advertisement promotion state index, further analyzing to obtain an advertisement delivery effect evaluation coefficient, comparing with a preset advertisement delivery effect evaluation coefficient threshold, and carrying out corresponding processing, thereby comprehensively analyzing a system and accurate evaluation for obtaining the advertisement delivery effect, better guiding formulation and implementation of an advertisement strategy and promoting maximization of the advertisement effect.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (8)
1. A new media advertisement effectiveness evaluation method based on a blockchain, comprising:
new media advertisement area dividing module: dividing the advertisement putting area of the target enterprise into monitoring subareas according to an equal area dividing mode, and marking the monitoring subareas in the advertisement putting area of the target enterprise as 1 and 2 … … n in sequence;
the new media advertisement information acquisition module: the system comprises a new media advertisement purchasing product acquisition unit, a new media advertisement user watching unit and a new media advertisement spreading unit, wherein the new media advertisement purchasing product acquisition unit is used for acquiring appointed parameter data of each monitoring subarea in the advertisement putting area of a target enterprise and transmitting the data to a new media advertisement information preprocessing module;
the new media advertisement information preprocessing module: the system comprises a new media advertisement information acquisition module, a new media advertisement information transmission module, a new media advertisement information visualization early warning module, a new media advertisement information transmission module, a new media advertisement information acquisition module, a new media advertisement user viewing module and a new media advertisement propagation module, wherein the new media advertisement information acquisition module is used for acquiring data information transmitted by the new media advertisement information acquisition module, eliminating the maximum and minimum values in acquired data, calculating and obtaining parameter data change fluctuation of a new media advertisement purchase product acquisition unit, a new media advertisement user viewing unit and a new media advertisement propagation unit, and transmitting a processed result to the new media advertisement information visualization early warning module;
the new media advertisement information visualization early warning module: the system comprises a data information preprocessing module, a data information integrating module, a data information processing module and a data information processing module, wherein the data information preprocessing module is used for receiving data information of a new media advertisement information preprocessing module, integrating the data information, establishing an advertisement effect line graph model, and sending the model to a terminal, and providing a processing basis for management personnel to optimize and adjust advertisements;
new media advertisement information processing module: the data information is used for receiving the data information transmitted by the new media advertisement information preprocessing module, obtaining the product purchase state index through the advertisement product purchase increment and the purchase amount calculation before the advertisement product is put in, calculating to obtain advertisement watching state indexes through advertisement total time length, user effective watching time length and user advertisement watching times, and calculating to obtain advertisement popularization state indexes through advertisement click quantity, advertisement exposure quantity and keyword advertisement searching quantity;
new media advertisement information analysis module: the method is used for calculating the advertisement putting effect evaluation coefficient through the product purchase state index, the advertisement watching state index and the advertisement promotion state index;
the advertisement putting effect evaluation module: the method comprises the steps of acquiring advertisement putting effect evaluation coefficients of all monitoring subareas in a target enterprise advertisement putting area, comparing the advertisement putting effect evaluation coefficients with a preset advertisement putting effect evaluation coefficient threshold value, if the advertisement putting effect evaluation coefficients are smaller than the threshold value, indicating that the advertisement putting effect of a new medium in the target area is abnormal, immediately displaying a corresponding area through a terminal, reporting a result to related personnel, otherwise, indicating that the advertisement putting effect of the new medium is normally evaluated, collecting related advertisement effects and strategies, and sending the result to the terminal;
new media advertisement information supervision module: the historical advertisement putting effect evaluation coefficients are used for storing historical advertisement putting effect evaluation coefficients of all monitoring subareas in the advertisement putting area of the target enterprise.
2. The new media advertising effectiveness evaluation method based on blockchain as in claim 1, wherein: the specific division mode of the new media advertisement area division module is as follows:
and acquiring a new media advertisement putting region on the target enterprise map, determining the new media advertisement putting region as a target region, and dividing the target region into at least three parts according to the equal area.
3. The new media advertising effectiveness evaluation method based on blockchain as in claim 1, wherein: the specific acquisition mode of the new media advertisement information acquisition module is as follows:
the new media advertisement purchase product acquisition unit is used for acquiring advertisement product purchase increment and advertisement product purchase quantity before advertisement product release of each monitoring subarea in the advertisement release area of the target enterprise, and is respectively marked as cz i 、cq i Wherein i=1, 2 … … n, i is denoted as the i-th monitoring sub-region number, and transmits data to the new media advertisement information preprocessing module;
the new media advertisement user watching unit is used for acquiring the total advertisement duration, the effective user watching duration and the user advertisement watching times of each monitoring subarea in the advertisement putting area of the target enterprise, and is respectively marked as gs i 、gx i 、gc i Wherein i=1, 2 … … n, i is denoted as the i-th monitoring sub-region number, and transmits data to the new media advertisement information preprocessing module;
the new media advertisement propagation unit is used for acquiring advertisement click quantity, advertisement exposure quantity and keyword advertisement search quantity of each monitoring subarea in the advertisement putting area of the target enterprise, and is respectively marked as cd i 、cb i 、cs i Where i=1, 2 … … n, i is denoted as the i-th monitoring sub-region number, and transmits the data to the new media advertisement information preprocessing module.
4. The new media advertising effectiveness evaluation method based on blockchain as in claim 1, wherein: the specific preprocessing mode of the new media advertisement information preprocessing module is as follows:
the fluctuation change formula of the advertisement product purchase increment is as follows:
the fluctuation change formula of the purchase quantity before the advertisement product is put in is as follows:
the fluctuation change formula of the total advertisement duration is as follows:
the fluctuation change formula of the effective watching duration of the user is as follows:
the fluctuation change formula of the advertisement watching times of the user is as follows:
the fluctuation change formula of the advertisement click rate is as follows:
the fluctuation change formula of the advertisement exposure is as follows:
the fluctuation change formula of the keyword advertisement search amount is as follows:
5. the new media advertising effectiveness evaluation method based on blockchain as in claim 1, wherein: the specific mode of the new media advertisement information visualization early warning module is as follows:
according to statistics and analysis of the new media advertisement preprocessing module, data information is converted into a line graph by means of data analysis software, real-time monitoring and analysis of new media advertisement information data are achieved, and processing basis is provided for optimizing and adjusting advertisements for management staff.
6. The new media advertising effectiveness evaluation method based on blockchain as in claim 1, wherein: the calculation formula of the product purchase state index is as follows:
where α is expressed as a product purchase status index, cz is expressed as an advertising product purchase increment, cz Is provided with Expressed as preset advertisement product purchase increment, cq expressed as advertisement product purchase quantity before delivery, cq Is provided with Expressed as a preset purchase quantity before delivery of the advertising product lambda 1 、λ 2 Other influencing factors respectively expressed as the purchase increment of the advertisement products and the purchase quantity before the advertisement products are put in;
the calculation formula of the advertisement watching state index is as follows:
wherein beta is expressed as an advertisement viewing state index, gx is expressed as a user effective viewing time length, gs is expressed as an advertisement total time length, and gc is expressed as a user advertisement viewing timeNumber, ε 1 、ε 2 Other influencing factors respectively expressed as total advertisement duration and user advertisement watching times;
the calculation formula of the advertisement promotion state index is as follows:
wherein ω is denoted as advertisement promotion status index, cd is denoted as advertisement click-through amount, cd Is provided with Expressed as preset advertisement click quantity, cb expressed as advertisement exposure quantity, cb Is provided with Expressed as preset advertisement exposure, cs expressed as keyword advertisement search, cs Is provided with Expressed as preset keyword advertisement search quantity mu 1 、μ 2 、μ 3 Expressed as advertisement click rate, advertisement exposure rate, and other influencing factors of keyword advertisement search rate, respectively.
7. The new media advertising effectiveness evaluation method based on blockchain as in claim 1, wherein: the calculation formula of the advertisement putting effect evaluation coefficient is as follows:
θ=α×β×ω, where θ is represented by an advertising effect evaluation coefficient, α is represented by a product purchase state index, β is represented by an advertising viewing state index, and ω is represented by an advertising promotion state index;
the overall analysis formula is as follows:
8. the new media advertising effectiveness evaluation method based on blockchain as in claim 1, wherein: the specific evaluation mode of the advertisement putting effect evaluation module is as follows:
comparing the advertisement putting effect evaluation coefficient theta of each monitoring subarea in the advertisement putting area of the target enterprise with a preset advertisement putting effect evaluation coefficient threshold value delta theta, if theta is smaller than delta theta, indicating that the advertisement putting effect of the new media in the target area is abnormal, immediately displaying the corresponding area through the terminal, reporting the result to related personnel for adjusting and optimizing the advertisement putting strategy, otherwise, indicating that the advertisement putting effect of the new media is normally evaluated, collecting the related advertisement effect and strategy, and transmitting the result to the terminal.
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|---|---|---|---|---|
| CN117408757A (en) * | 2023-12-14 | 2024-01-16 | 江西时刻互动科技股份有限公司 | Intelligent evaluation system for monitoring advertisement putting effect |
| CN117408757B (en) * | 2023-12-14 | 2024-04-09 | 江西时刻互动科技股份有限公司 | Intelligent evaluation system for monitoring advertisement putting effect |
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