CN116629943B - 3YData ASA advertisement delivery platform - Google Patents
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Abstract
The invention discloses a 3YDAta ASA advertisement delivery platform, which particularly relates to the field of advertisement delivery, and comprises a platform region dividing module, an advertisement information acquisition module, an advertisement information preprocessing module, an advertisement information processing module, an advertisement information analysis module, an advertisement intelligent creation module, an advertisement intelligent optimization module, a platform safety supervision module and an advertisement platform database module.
Description
Technical Field
The invention relates to the technical field of advertisement delivery, in particular to a 3YData ASA advertisement delivery platform.
Background
The advertising platform is an online platform provided for advertisers and media for delivering digital advertisements over the Internet, which integrates various tools and techniques to make advertising more efficient and traceable. With the development of information technology, most advertisers process and analyze data sets by utilizing artificial intelligence technology and machine learning algorithm, extract value information in data to predict advertising effectiveness, provide personalized advertisement preview requirements through machine learning and big data analysis, and determine proper audience groups for advertising.
However, when the advertisement platform is actually used, the advertisement platform has some defects, such as that the advertiser of the traditional advertisement platform can only evaluate whether the advertisement is effective or not through a feedback mechanism, the advertisement effect is difficult to track and quantify, the advertisement can not be easily changed after the advertisement is put, and the released advertisement can not be optimized.
At present, although the apple authorities have ASA advertisement delivery management platforms providing basic functions, as the server is erected in places other than China, the access speed is low, the functions are single, and the advertisement operation requirements and personalized data preview requirements of most App advertisers in China cannot be met.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a 3YData ASA advertisement delivery platform 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:
platform region dividing module: the method is used for dividing the target 3YData ASA advertisement delivery platform into monitoring subareas according to an equal time division mode, and numbering the monitoring subareas in the target 3YData ASA advertisement delivery platform as 1, 2.
The advertisement information acquisition module: the system comprises a user advertisement information acquisition unit and a platform advertisement information acquisition unit.
The user advertisement information acquisition unit is used for monitoring text input information of users in each monitoring subarea in the target 3YData ASA advertisement delivery platform, acquiring keyword information input quantity and related advertisement entry click quantity, and transmitting acquired data to the advertisement information preprocessing module.
The platform advertisement information acquisition unit is used for acquiring advertisement exposure and advertisement search quantity of each monitoring subarea in the target 3YData ASA advertisement delivery platform, and transmitting acquired data to the advertisement information preprocessing module.
Advertisement information preprocessing module: the system comprises a platform advertisement information acquisition unit, an advertisement information processing module, a platform advertisement information processing module and a user information processing module, wherein the platform advertisement information acquisition unit is used for acquiring data information transmitted by the advertisement information acquisition module, processing text input information of a user of the user advertisement information acquisition unit to obtain a keyword set of the text input information of the user, averaging the keyword information input quantity in the keyword set and related advertisement entry click quantity data, weighting average processing the advertisement exposure quantity through the platform advertisement information acquisition unit, averaging the advertisement search quantity and transmitting the processed result to the advertisement information processing module.
Advertisement information processing module: the method comprises the steps of receiving data information transmitted by an advertisement information preprocessing module, calculating relevant advertisement entry click quantity to obtain a keyword matching index through a keyword information input quantity, calculating relevant advertisement entry click quantity and advertisement search quantity to obtain an advertisement intelligent matching index, calculating advertisement exposure quantity through an advertisement exposure quantity and advertisement search quantity to obtain an advertisement exposure index, and transmitting data to an advertisement information analysis module.
The advertisement information analysis module: the system is used for receiving the data information transmitted by the advertisement information processing module and calculating to obtain the advertisement putting effect coefficient through the keyword matching index, the advertisement intelligent matching index and the advertisement exposure index.
The intelligent advertisement creation module: the method is used for acquiring the advertising success coefficients of all monitoring subareas in the target 3YData ASA advertising platform, comparing the advertising success coefficients with a preset advertising success coefficient threshold value, and if the advertising success coefficients are within the threshold value range, performing advertising activities, and performing network interaction with an apple official ASA interface to realize quick and convenient advertising creation service.
The intelligent advertisement optimizing module: according to the fluctuation condition of the historical advertising effectiveness coefficient, automatically optimizing advertisement activities by adjusting advertisement bids or optimizing advertisement ranks.
Platform safety supervision module: the system is used for carrying out safe encryption on data by using a modern encryption algorithm and protocol on data information of a user advertisement information acquisition unit and a platform advertisement information acquisition unit of each monitoring subarea in the target 3YData ASA advertisement delivery platform, so that the data are ensured to be safely encrypted in the input and output processes.
An advertisement platform database module: and the system is used for storing the advertising effectiveness coefficients of all monitoring subareas in the target 3YData ASA advertising platform.
And dividing the target 3YData ASA advertisement delivery platform into monitoring subareas according to an equal time division mode for not less than one week.
The specific processing mode of the user input method content in the user acquisition unit is as follows:
extracting the content of an input method of a user, and counting the text input of each monitoring subarea of the user in the target 3YData ASA advertisement delivery platformEntering information, extracting keywords from the text input information to obtain keywords in the text input information of each monitoring subarea in the target 3YData ASA advertisement delivery platform, counting the number of the keywords of the text information input by users of each monitoring subarea in the target 3YData ASA advertisement delivery platform to obtain keyword information input quantity, and numbering the keyword information input quantity to be q 1 ,q 2 ,...，q i ,...，q n 。
The advertisement exposure weight average processing mode in the advertisement information preprocessing module is as follows:
wherein lambda is i An influence factor expressed as advertisement exposure of each monitoring subarea in the ith target 3YData ASA advertisement delivery platform, q i The advertisement exposure is represented as the i-th target 3YData ASA advertisement delivery platform for each monitored sub-area.
The k is 1 、k 2 ...k i The calculation formula of (2) is as follows:
wherein q is i The advertisement exposure is represented as the i-th target 3YData ASA advertisement delivery platform for each monitored sub-area.
The keyword matching index calculation formula is as follows:
where α is denoted as a keyword matching index, s is denoted as a keyword information input amount, d is denoted as a relevant advertisement entry click amount, μ is denoted as other influencing factors of the keyword matching index, and e is denoted as a natural constant.
The intelligent advertisement matching index calculation formula is as follows:
wherein the method comprises the steps ofBeta is expressed as an advertisement intelligent matching index, s i Keyword information input quantity expressed as each monitoring subarea in ith target 3YData ASA advertisement delivery platform,/for>Expressed as an average value of keyword information input quantity, d i Related advertisement entry click quantity expressed as i-th target 3YData ASA advertisement delivery platform for each monitoring subarea,/for each monitoring subarea>Expressed as the average value of the click rate of related advertisement entries, g i Advertisement search amount, expressed as i-th target 3YData ASA advertisement delivery platform, of each monitored subarea>Expressed as the average value, epsilon, of the search volume of the advertisement 1 、ε 2 、ε 3 Other influencing factors respectively expressed as keyword information input quantity, related advertisement entry click quantity and advertisement search quantity.
The advertisement exposure index calculation formula is as follows:
wherein->Expressed as advertisement exposure index, q expressed as advertisement exposure amount, g expressed as advertisement search amount, lambda expressed as other influencing factors of advertisement exposure amount, epsilon 3 Other influencing factors expressed as advertisement search amounts, Δq expressed as preset advertisement exposure amounts, and Δg expressed as preset advertisement search amounts.
The calculation formula of the advertising effectiveness coefficient is as follows:
wherein θ is expressed as advertisement placementThe efficiency coefficient, alpha is expressed as keyword matching index, beta is expressed as advertisement intelligent matching index,>represented as advertisement exposure index.
The overall analysis formula is as follows:
the specific mode of the intelligent advertisement creation module is as follows:
and comparing the advertising effectiveness coefficient theta of each monitoring subarea in the target 3YData ASA advertising platform with a preset advertising effectiveness coefficient threshold value delta theta, if theta is smaller than delta theta, performing advertising activities, inquiring advertising data by a server, and formulating an accurate advertising strategy.
The advertisement intelligent optimization module comprises the following specific modes:
according to the advertising effectiveness coefficients of all monitoring subareas in the target 3YData ASA advertising platform, monitoring to obtain a fluctuation formula of the advertising effectiveness coefficients of all monitoring subareas in the target 3YData ASA advertising platform: h= (θ) i -θ i-1 )，θ i Expressed as the i-th historical advertising effectiveness coefficient, when H>And 0, indicating that the advertising effect is good, sending the result to an administrator for adjusting advertising bid or optimizing advertising ranking level, otherwise, indicating that the advertising situation is abnormal, and numbering and displaying the area.
The invention has the technical effects and advantages that:
1. the invention provides a 3YData ASA advertisement delivery platform, which is characterized in that keyword information input quantity, relevant advertisement entry click quantity, advertisement exposure quantity and advertisement search quantity data information of each monitoring subarea in the target 3YData ASA advertisement delivery platform are collected, the processed data are obtained through preprocessing the data, keyword matching indexes, advertisement intelligent matching indexes and advertisement exposure indexes are further analyzed and obtained, advertisement delivery success coefficients are obtained through three groups of indexes, the advertisement delivery success coefficients are compared with preset advertisement delivery success coefficient thresholds, if the advertisement delivery success coefficients are within the threshold range, advertisement creation service is realized rapidly and conveniently through network interaction with an apple official ASA interface, and the advertisement is optimized by using an algorithm, so that the advertisement effect is improved;
2. the invention can provide diversified advertisement forms and marketing strategies for advertisers, help users monitor and analyze the effect of the advertisement delivery by the method through data analysis, uniformly manage the advertisement delivery of different channels, and use modern encryption algorithms and protocols to carry out safe encryption on data, thereby ensuring that the data are safe and encrypted in the input and output processes, effectively preventing advertisement fraud and malicious attack and providing a safer and more reliable advertisement delivery environment for the advertisers.
Drawings
Fig. 1 is a schematic diagram of a system module connection according to the present invention.
Fig. 2 is a schematic diagram of an 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 3YData ASA advertisement delivery platform, which comprises a platform region dividing module, an advertisement information acquisition module, an advertisement information preprocessing module, an advertisement information processing module, an advertisement information analysis module, an advertisement intelligent creation module, an advertisement intelligent optimization module, a platform security supervision module and an advertisement platform database module.
The platform area dividing module is connected with the advertisement information collecting module, the advertisement information collecting module is connected with the platform safety supervision module, the advertisement information collecting module is connected with the advertisement information preprocessing module, the advertisement information preprocessing module is connected with the advertisement information processing module, the advertisement information processing module is connected with the advertisement information analysis module, the advertisement information analysis module is connected with the advertisement intelligent creating module and the advertisement intelligent optimizing module, the advertisement intelligent creating module is connected with the advertisement intelligent optimizing module, and the advertisement intelligent optimizing module is connected with the advertisement platform database module.
The platform region division module is used for dividing the target 3YData ASA advertisement delivery platform into monitoring subareas according to an equal time division mode, and numbering the monitoring subareas in the target 3YData ASA advertisement delivery platform as 1, 2.
In one possible design, the time for dividing the target 3YData ASA advertisement delivery platform into each monitoring subarea according to the equal time division manner is not less than one week.
Referring to fig. 2, the advertisement information collection module includes a user advertisement information collection unit and a platform advertisement information collection unit.
The user advertisement information acquisition unit is used for monitoring text input information of users in each monitoring subarea in the target 3YData ASA advertisement delivery platform, acquiring keyword information input quantity and related advertisement entry click quantity, and transmitting acquired data to the advertisement information preprocessing module.
In one possible design, the specific collection mode of the user advertisement information collection unit is as follows:
setting observation points for each monitoring subarea in the target 3YData ASA advertisement delivery platform, and respectively marking the keyword information input quantity and the related advertisement entry click quantity in the text input information of the user as s i 、d i Where i is denoted as the number of the ith monitored sub-area.
The platform advertisement information acquisition unit is used for acquiring advertisement exposure and advertisement search quantity of each monitoring subarea in the target 3YData ASA advertisement delivery platform, and transmitting acquired data to the advertisement information preprocessing module.
In one possible design, the specific collection mode of the platform advertisement information collection unit is as follows:
setting observation points for each monitoring subarea in the target 3YData ASA advertisement delivery platform, and respectively marking the observation points as q for collecting advertisement exposure and advertisement search quantity i 、g i Where i is denoted as the number of the ith monitored sub-area.
Advertisement information preprocessing module: the system comprises a platform advertisement information acquisition unit, an advertisement information processing module, a platform advertisement information processing module and a user information processing module, wherein the platform advertisement information acquisition unit is used for acquiring data information transmitted by the advertisement information acquisition module, processing text input information of a user of the user advertisement information acquisition unit to obtain a keyword set of the text input information of the user, averaging the keyword information input quantity in the keyword set and related advertisement entry click quantity data, weighting average processing the advertisement exposure quantity through the platform advertisement information acquisition unit, averaging the advertisement search quantity and transmitting the processed result to the advertisement information processing module.
In one possible design, the specific processing manner of the user input method content in the user acquisition unit is as follows:
extracting the content of an input method of a user, counting the text input information of each monitoring subarea in the target 3YData ASA advertisement delivery platform, extracting keywords of the text input information to obtain each keyword in the text input information of each monitoring subarea in the target 3YData ASA advertisement delivery platform, counting the number of the keywords of the text input information of the user of each monitoring subarea in the target 3YData ASA advertisement delivery platform to obtain the keyword information input quantity, numbering the keyword information input quantity, and obtaining the number q 1 ,q 2 ,...，q i ,...，q n 。
The average processing formula is
The advertisement exposure weight average processing mode in the advertisement information preprocessing module is as follows:
wherein lambda is i An influence factor expressed as advertisement exposure of each monitoring subarea in the ith target 3YData ASA advertisement delivery platform, q i The advertisement exposure is represented as the i-th target 3YData ASA advertisement delivery platform for each monitored sub-area.
The k is 1 、k 2 ...k i The calculation formula of (2) is as follows:
wherein q is i The advertisement exposure is represented as the i-th target 3YData ASA advertisement delivery platform for each monitored sub-area.
The advertisement information processing module is used for receiving the data information transmitted by the advertisement information preprocessing module, calculating and obtaining a keyword matching index through keyword information input quantity and related advertisement entry click quantity, calculating and obtaining an advertisement intelligent matching index through keyword information input quantity, related advertisement entry click quantity and advertisement search quantity, calculating and obtaining an advertisement exposure index through advertisement exposure quantity and advertisement search quantity, and transmitting the data to the advertisement information analysis module.
In one possible design, the keyword matching index calculation formula is:
where α is denoted as a keyword matching index, s is denoted as a keyword information input amount, d is denoted as a relevant advertisement entry click amount, μ is denoted as other influencing factors of the keyword matching index, and e is denoted as a natural constant.
The intelligent advertisement matching index calculation formula is as follows:
wherein beta is represented as advertisement intelligent matching index, s i Keyword information input quantity expressed as each monitoring subarea in ith target 3YData ASA advertisement delivery platform,/for>Expressed as an average value of keyword information input quantity, d i Related advertisement entry click quantity expressed as i-th target 3YData ASA advertisement delivery platform for each monitoring subarea,/for each monitoring subarea>Expressed as the average value of the click rate of related advertisement entries, g i Advertisement search amount, expressed as i-th target 3YData ASA advertisement delivery platform, of each monitored subarea>Expressed as the average value, epsilon, of the search volume of the advertisement 1 、ε 2 、ε 3 Other influencing factors respectively expressed as keyword information input quantity, related advertisement entry click quantity and advertisement search quantity.
The advertisement exposure index calculation formula is as follows:
wherein->Expressed as advertisement exposure index, q expressed as advertisement exposure amount, g expressed as advertisement search amount, lambda expressed as other influencing factors of advertisement exposure amount, epsilon 3 Other influencing factors expressed as advertisement search amounts, Δq expressed as preset advertisement exposure amounts, and Δg expressed as preset advertisement search amounts.
The advertisement information analysis module is used for receiving the data information transmitted by the advertisement information processing module and calculating to obtain the advertisement putting effect coefficient through the keyword matching index, the advertisement intelligent matching index and the advertisement exposure index.
In one possible design, the advertisement placement effectiveness coefficient is calculated by the following formula:
wherein θ is represented as an advertising effectiveness coefficient, α is represented as a keyword matching index, β is represented as an advertising intelligent matching index,>represented as advertisement exposure index.
The overall analysis formula is as follows:
the intelligent advertisement creation module is used for acquiring advertisement delivery success coefficients of all monitoring subareas in the target 3YDAta ASA advertisement delivery platform, comparing the advertisement delivery success coefficients with a preset advertisement delivery success coefficient threshold value, and if the advertisement delivery success coefficients are within the threshold value range, carrying out advertisement delivery activities, and carrying out network interaction with an apple official ASA interface to realize quick and convenient advertisement creation service.
In one possible design, the specific manner of the advertisement intelligent creation module is as follows:
and comparing the advertising effectiveness coefficient theta of each monitoring subarea in the target 3YData ASA advertising platform with a preset advertising effectiveness coefficient threshold value delta theta, if theta is smaller than delta theta, performing advertising activities, inquiring advertising data by a server, and formulating an accurate advertising strategy.
The intelligent advertisement optimizing module is used for automatically optimizing advertisement activities by adjusting advertisement bids or optimizing advertisement ranks according to fluctuation conditions of historical advertisement putting effect coefficients.
In one possible design, the specific manner of the advertisement intelligent optimization module is as follows:
according to the advertising effectiveness coefficients of all monitoring subareas in the target 3YData ASA advertising platform, monitoring to obtain a fluctuation formula of the advertising effectiveness coefficients of all monitoring subareas in the target 3YData ASA advertising platform: h= (θ) i -θ i-1 )，θ i Representation ofFor the ith historical advertising effectiveness coefficient, when H>And 0, indicating that the advertising effect is good, sending the result to an administrator for adjusting advertising bid or optimizing advertising ranking level, otherwise, indicating that the advertising situation is abnormal, and numbering and displaying the area.
The platform safety supervision module is used for carrying out safe encryption on data by using a modern encryption algorithm and protocol on data information of a user advertisement information acquisition unit and a platform advertisement information acquisition unit of each monitoring subarea in the target 3YData ASA advertisement delivery platform, so that the data are ensured to be safely encrypted in the input and output processes.
The advertisement platform database module is used for storing advertisement delivery effect coefficients of all monitoring subareas in the target 3YData ASA advertisement delivery platform.
In this embodiment, it should be specifically described that the present invention provides a 3YData ASA advertisement delivery platform, including the following steps:
step S01: platform region division: the method specifically comprises the steps of dividing a target 3YData ASA advertisement delivery platform into monitoring subareas according to an equal time division mode, and numbering the monitoring subareas in the target 3YData ASA advertisement delivery platform as 1, 2.
Step S02: and (3) advertisement information collection: the system comprises a user advertisement information acquisition unit and a platform advertisement information acquisition unit.
The user advertisement information acquisition unit is used for monitoring text input information of users in each monitoring subarea in the target 3YData ASA advertisement delivery platform, acquiring keyword information input quantity and related advertisement entry click quantity, and transmitting acquired data to the advertisement information preprocessing module.
The platform advertisement information acquisition unit is used for acquiring advertisement exposure and advertisement search quantity of each monitoring subarea in the target 3YData ASA advertisement delivery platform, and transmitting acquired data to the advertisement information preprocessing module.
Step S03: pre-processing advertisement information: the method comprises the steps of receiving data information transmitted by an advertisement information acquisition module, processing text input information of a user advertisement information acquisition unit to obtain a keyword set of the text input information of the user, carrying out average processing on keyword information input quantity in the keyword set and related advertisement entry click quantity data, carrying out weight average processing on advertisement exposure quantity through a platform advertisement information acquisition unit, carrying out average processing on advertisement search quantity, and transmitting a processed result to an advertisement information processing module.
Step S04: advertisement information processing: the method comprises the steps of receiving data information transmitted by an advertisement information preprocessing module, calculating relevant advertisement entry click quantity to obtain a keyword matching index through a keyword information input quantity, calculating relevant advertisement entry click quantity and advertisement search quantity to obtain an advertisement intelligent matching index, calculating advertisement exposure quantity through advertisement exposure quantity and advertisement search quantity to obtain an advertisement exposure index, and transmitting data to an advertisement information analysis module.
Step S05: advertisement information analysis: specifically, data information transmitted by an advertisement information processing module is received, and an advertisement putting effect coefficient is calculated through a keyword matching index, an advertisement intelligent matching index and an advertisement exposure index.
Step S06: intelligent advertisement creation: the method specifically comprises the steps of obtaining the advertising success coefficients of all monitoring subareas in a target 3YDAta ASA advertising platform, comparing the advertising success coefficients with a preset advertising success coefficient threshold value, and if the advertising success coefficients are within the threshold value range, performing advertising activities, and performing network interaction with an apple official ASA interface to realize quick and convenient advertising creation service.
Step S07: intelligent advertisement optimization: specifically, according to the fluctuation condition of the historical advertising effectiveness coefficient, the advertisement bid is adjusted or the advertisement ranking is optimized, so that the advertisement activity is automatically optimized.
Step S08: platform safety supervision: the method specifically comprises the steps of carrying out safe encryption on data by using a modern encryption algorithm and protocol on data information of a user advertisement information acquisition unit and a platform advertisement information acquisition unit of each monitoring subarea in a target 3YData ASA advertisement delivery platform, and ensuring that the data are safely encrypted in the input and output processes.
Step S09: advertisement platform database: specifically, the advertisement delivery efficiency coefficients of all monitoring subareas in the target 3YData ASA advertisement delivery platform are stored.
In this embodiment, it needs to be specifically explained that the invention can provide diversified advertisement forms and marketing strategies for advertisers, help users monitor and analyze the effect of the method delivery through data analysis, uniformly manage the advertisement delivery of different channels, and use modern encryption algorithms and protocols to carry out safe encryption of data, ensure that the data are safe encrypted in the input and output processes, effectively prevent advertisement fraud and malicious attack, and provide a safer and more reliable advertisement delivery environment for advertisers.
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 (6)
1. A 3YData ASA advertising platform comprising:
platform region dividing module: the method comprises the steps that a target 3YData ASA advertisement delivery platform is divided into monitoring subareas according to an equal time division mode, and the monitoring subareas in the target 3YData ASA advertisement delivery platform are numbered 1,2 in sequence;
the advertisement information acquisition module: the system comprises a user advertisement information acquisition unit and a platform advertisement information acquisition unit;
the user advertisement information acquisition unit is used for monitoring text input information of users in each monitoring subarea in the target 3YData ASA advertisement delivery platform, acquiring keyword information input quantity and related advertisement entry click quantity, and transmitting acquired data to the advertisement information preprocessing module;
the platform advertisement information acquisition unit is used for acquiring advertisement exposure and advertisement search quantity of each monitoring subarea in the target 3YData ASA advertisement delivery platform and transmitting acquired data to the advertisement information preprocessing module;
advertisement information preprocessing module: the system comprises a platform advertisement information acquisition unit, an advertisement information processing module, a data processing module and a data processing module, wherein the platform advertisement information acquisition unit is used for acquiring data information transmitted by the advertisement information acquisition module, acquiring a keyword set of text information input by a user through text input information processing of the user advertisement information acquisition unit, carrying out average processing on keyword information input quantity and related advertisement entry click quantity data in the keyword set, carrying out weight average processing on advertisement exposure quantity through the platform advertisement information acquisition unit, carrying out average processing on advertisement search quantity, and transmitting a processed result to the advertisement information processing module;
advertisement information processing module: the method comprises the steps of receiving data information transmitted by an advertisement information preprocessing module, calculating relevant advertisement entry click quantity to obtain a keyword matching index through a keyword information input quantity, calculating relevant advertisement entry click quantity and advertisement search quantity to obtain an advertisement intelligent matching index, calculating advertisement exposure quantity through an advertisement exposure quantity and advertisement search quantity to obtain an advertisement exposure index, and transmitting data to an advertisement information analysis module;
the keyword matching index calculation formula is as follows:
wherein alpha is expressed as a keyword matching index, s is expressed as a keyword information input quantity, d is expressed as a related advertisement entry click quantity, mu is expressed as other influencing factors of the keyword matching index, and e is expressed as a natural constant;
the intelligent advertisement matching index calculation formula is as follows:
wherein beta is represented as advertisement intelligent matching index, s i Keyword information input quantity expressed as each monitoring subarea in ith target 3YData ASA advertisement delivery platform,/for>Expressed as an average value of keyword information input quantity, d i Related advertisement entry click quantity expressed as i-th target 3YData ASA advertisement delivery platform for each monitoring subarea,/for each monitoring subarea>Expressed as the average value of the click rate of related advertisement entries, g i Advertisement search amount, expressed as i-th target 3YData ASA advertisement delivery platform, of each monitored subarea>Expressed as the average value, epsilon, of the search volume of the advertisement 1 、ε 2 、ε 3 Other influencing factors respectively expressed as keyword information input quantity, related advertisement entry click quantity and advertisement search quantity;
the advertisement exposure index calculation formula is as follows:
wherein->Expressed as advertisement exposure index, q expressed as advertisement exposure amount, g expressed as advertisement search amount, lambda expressed as other influencing factors of advertisement exposure amount, epsilon 3 Other influencing factors expressed as advertisement search amounts, Δq expressed as preset advertisement exposure amounts, and Δg expressed as preset advertisement search amounts;
the advertisement information analysis module: the system comprises an advertisement information processing module, a keyword matching index, an advertisement intelligent matching index and an advertisement exposure index, wherein the advertisement information processing module is used for receiving data information transmitted by the advertisement information processing module, and calculating to obtain an advertisement putting success coefficient;
the calculation formula of the advertising effectiveness coefficient is as follows:
wherein θ is represented as advertising effectiveness coefficient, α is represented as keyword matching index, and β is represented asShown as advertisement intelligent matching index,/->Expressed as advertisement exposure index;
the overall analysis formula is:
the intelligent advertisement creation module: the method comprises the steps of acquiring advertisement delivery success coefficients of all monitoring subareas in a target 3YData ASA advertisement delivery platform, comparing the advertisement delivery success coefficients with a preset advertisement delivery success coefficient threshold value, and if the advertisement delivery success coefficients are within the threshold value range, performing advertisement delivery activities, and performing network interaction with an apple official ASA interface to realize quick and convenient advertisement creation service;
the intelligent advertisement optimizing module: according to the fluctuation condition of the historical advertising effectiveness coefficient, automatically optimizing advertisement activities by adjusting advertisement bids or optimizing advertisement ranks;
platform safety supervision module: the system comprises a user advertisement information acquisition unit and a platform advertisement information acquisition unit, wherein the user advertisement information acquisition unit is used for carrying out data security encryption on data information of each monitoring subarea in the target 3YData ASA advertisement delivery platform by using a modern encryption algorithm and protocol, so that the data is ensured to be securely encrypted in the input and output processes;
an advertisement platform database module: and the system is used for storing the advertising effectiveness coefficients of all monitoring subareas in the target 3YData ASA advertising platform.
2. The 3YData ASA advertising platform as claimed in claim 1, wherein: and dividing the target 3YData ASA advertisement delivery platform into monitoring subareas according to an equal time division mode for not less than one week.
3. The 3YData ASA advertising platform as claimed in claim 1, wherein: the specific processing mode of the user input method content in the user acquisition unit is as follows:
extracting the content of an input method of a user, counting the text input information of each monitoring subarea in the target 3YData ASA advertisement delivery platform, extracting keywords of the text input information to obtain each keyword in the text input information of each monitoring subarea in the target 3YData ASA advertisement delivery platform, counting the number of the keywords of the text input information of the user of each monitoring subarea in the target 3YData ASA advertisement delivery platform to obtain the keyword information input quantity, numbering the keyword information input quantity, and obtaining the number q 1 ,q 2 ,...，q i ,...，q n 。
4. The 3YData ASA advertising platform as claimed in claim 1, wherein: the advertisement exposure weight average processing mode in the advertisement information preprocessing module is as follows:
wherein lambda is i An influence factor expressed as advertisement exposure of each monitoring subarea in the ith target 3YData ASA advertisement delivery platform, q i The advertisement exposure quantity of each monitoring subarea in the ith target 3YData ASA advertisement delivery platform is represented, and n is represented as the number of the monitoring subareas;
wherein k is 1 、k 2 ...k i The calculation formula of (2) is as follows:
wherein q is i Advertisement exposure, k, expressed as each monitored sub-region within the ith target 3YData ASA advertisement delivery platform i And the advertisement exposure weight coefficient is expressed as each monitoring subarea in the ith target 3YData ASA advertisement delivery platform.
5. The 3YData ASA advertising platform as claimed in claim 1, wherein: the specific mode of the intelligent advertisement creation module is as follows:
and comparing the advertising effectiveness coefficient theta of each monitoring subarea in the target 3YData ASA advertising platform with a preset advertising effectiveness coefficient threshold value delta theta, if theta is smaller than delta theta, performing advertising activities, inquiring advertising data by a server, and formulating an accurate advertising strategy.
6. The 3YData ASA advertising platform as claimed in claim 1, wherein: the advertisement intelligent optimization module comprises the following specific modes:
according to the advertising effectiveness coefficients of all monitoring subareas in the target 3YData ASA advertising platform, monitoring to obtain a fluctuation formula of the advertising effectiveness coefficients of all monitoring subareas in the target 3YData ASA advertising platform: h= (θ) i -θ i-1 )，θ i Expressed as the i-th historical advertising effectiveness coefficient, θ i-1 Expressed as the i-1 th historical advertising effectiveness coefficient, when H>And 0, indicating that the advertising effect is good, sending the result to an administrator for adjusting advertising bid or optimizing advertising ranking level, otherwise, indicating that the advertising situation is abnormal, and numbering and displaying the area.
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| CN109727052A (en) * | 2017-10-31 | 2019-05-07 | 北京国双科技有限公司 | Keyword determines method and device |
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