An automatic advertising budget adjustment system

Abstract

The present invention provides an automated advertising budget adjustment system, which relates to the technical field of advertising management. The automated advertising budget adjustment system includes a user information identification module, an administrator identification module, an advertising information import module, an information data analysis module, a data budget analysis module and a budget share adjustment module, wherein the user information identification module is connected to the advertising information import module via a WLAN signal. The automated difference adjustment and calculation of the system is realized according to the click-through rate of the advertisement and the graded layout, thereby improving the advertising delivery benefit value. The layout cycle bidding unit directly bids for the submitted layout information, and the search engine bidding unit directly bids for the search engine position. Finally, the bidding classification unit is used for classification according to the bidding information. Through the automatic statistical bidding analysis of the data, the ideas for the later budget are clarified, and the calculation accuracy of the budget difference is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of advertising management, and in particular to an automatic advertising budget adjustment system. Background Art

[0002] With the development of the online advertising market, online media planners and product marketers need to manage more meticulously and optimize advertising in a timely manner to ensure that online advertising resources are used efficiently. At the same time, network managers need to organize and deploy network resources more flexibly. On the premise of ensuring accurate advertising delivery, they need to rely on the technical foundation of the advertising management system and conduct in-depth integration with the sales team to form diverse sales plans.

[0003] Advertising can increase a company's product sales to varying degrees, but when a company's investment in advertising reaches a certain scale, market demand and the company's product sales will have a significant response and growth. When the investment in advertising reaches a certain scale, the market demand response will become sluggish, and the sales growth rate of products will drop significantly, resulting in a sharp drop in profits. The placement and listing of advertisements requires manual participation in judging, including bidding, typesetting and listing. The existing network environment cannot meet the needs of large-scale advertising placement and listing. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides an automated advertising budget adjustment system, which solves the problem that the existing large-scale advertising budget cannot be quickly and automatically calculated, resulting in poor advertising effectiveness and efficiency.

[0005] To achieve the above purpose, the present invention is implemented through the following technical solutions: an automated advertising budget adjustment system, including a user information identification module, an administrator identification module, an advertising information import module, an information data analysis module, a data budget analysis module and a budget share adjustment module, wherein the user information identification module is connected to the advertising information import module via a WLAN signal, the administrator identification module is connected to the information data analysis module via a WLAN signal, the advertising information import module is connected to the information data analysis module via an HDR signal, the information data analysis module is connected to the data budget analysis module via an HDR signal, and the data budget analysis module is connected to the budget share adjustment module via an HDR signal;

[0006] The information data analysis module includes a data classification receiving unit, a conflicting data prompting unit, a ranking bidding unit, a keyword bidding unit, a similar inspiration bidding unit, a typesetting cycle bidding unit, a search engine bidding unit, a promotion activity bidding unit, an administrator intervention unit and a bidding grading unit. The data classification receiving unit is connected to the data integrated sending unit via an HDR signal. The data classification receiving unit is connected to a conflicting data prompting unit. The conflicting data prompting unit is connected to the ranking bidding unit via an HDR signal. The ranking bidding unit is respectively connected to the keyword bidding unit, the similar inspiration bidding unit, the typesetting cycle bidding unit, the search engine bidding unit, the promotion activity bidding unit and the administrator intervention unit via an HDR signal. The ranking bidding unit is connected to the bidding grading unit via an HDR signal.

[0007] Preferably, the user information identification module includes a personal password input unit, a mobile phone verification login unit, a user registration unit, a registration permission unit, an identity recognition unit, a data cloud platform unit and a user information input unit. The personal password input unit and the mobile phone verification login unit are respectively connected to the identity recognition unit through a network, the user registration unit is connected to the registration permission unit through a network, the registration permission unit is connected to the identity recognition unit through a network, the identity recognition unit is connected to the data cloud platform unit, and the data cloud platform unit is connected to the user information input unit.

[0008] Preferably, the administrator identification module includes an administrator registration unit, an administrator information input unit, a personal password input unit, a key U disk login unit, an identity verification unit and a background access permission unit. The administrator registration unit is connected to the administrator information input unit via a network signal. The administrator information input unit is connected to the personal password input unit and the key U disk login unit via the network. The personal password input unit and the key U disk login unit are both connected to the identity verification unit via a network signal. The identity verification unit is connected to the data cloud platform unit via a network signal.

[0009] Preferably, the advertising information import module includes an advertising inspiration import unit, a search engine estimation unit, a typesetting cycle submission unit, a promotion activity import unit, a keyword import unit and a data integrated sending unit. The advertising inspiration import unit, the search engine estimation unit, the typesetting cycle submission unit, the promotion activity import unit and the keyword import unit are all connected to the data integrated sending unit via an HDR signal. The advertising inspiration import unit, the search engine estimation unit, the typesetting cycle submission unit, the promotion activity import unit and the keyword import unit are connected to the data cloud platform unit via WLAN.

[0010] Preferably, the data budget analysis module includes a hierarchical information receiving unit, a hierarchical budget calculation unit, an initial budget confirmation unit, a typesetting trial unit and an advertising effect statistics unit, the hierarchical information receiving unit is connected to the hierarchical budget calculation unit via an HDR signal, the hierarchical budget calculation unit is connected to the initial budget confirmation unit via an HDR signal, the initial budget confirmation unit is connected to the typesetting trial unit via an HDR signal, and the typesetting trial unit is connected to the advertising effect statistics unit via a network signal.

[0011] Preferably, the budget share adjustment module includes an effect benefit statistics unit, a hierarchical budget unit, a final budget confirmation unit and an error adjustment sending unit. The effect benefit statistics unit is connected to the advertising effect statistics unit via an HDR signal, the effect benefit statistics unit is connected to the hierarchical budget unit via an HDR signal, and the hierarchical budget unit is connected to the final budget confirmation unit via an HDR signal.

[0012] Preferably, the ranking bidding unit is connected to the administrator intervention unit via a WLAN signal, and the administrator intervention unit is connected to the backend admission permission unit via WLAN.

[0013] Preferably, the final budget confirmation unit is connected to the error adjustment sending unit via an HDR signal, and the error adjustment sending unit is connected to the data cloud platform unit via a WLAN signal.

[0014] Working principle: First, if the advertisers who want to bid need to submit their own advertising products, they can register their own platform account through the user registration unit, and complete the registration using the registration permission unit. The registration information can be recorded through the identity recognition unit, and then use the personal password input unit and the mobile phone verification login unit to log in, and then use the user information input unit and the data cloud platform unit to count the identity information. The audit staff can also register through the administrator registration unit, fill in the identity information through the administrator information input unit to confirm the identity of the administrator, and obtain the administrator password and key U disk after the audit management personnel register. The auditor can log in through the personal password input unit and the key U disk login unit, and the identity audit unit verifies the login information. After successful recording, the backstage access permission unit allows the reviewer to enter the system backstage for data intervention. When advertising personnel log in to the system, they can submit detailed files by category through the advertising information import module, submit the detailed content and inspiration of the advertisement through the advertising inspiration import unit, and submit the search engine prediction unit to the search platform engine they want to list on. The typesetting cycle submission unit submits the typesetting and shelf cycle of the advertisement, and the promotion activity import unit submits the promotion activities that the advertisement wants to participate in, such as whether the commodity advertisement wants to participate in the Double Eleven promotion interaction and other activities that require commercial value. The keyword data of the advertisement preview interface is submitted through the keyword import unit, and finally the data comprehensive sending unit sends it to the information data analysis module. The information The data analysis module conducts advertising bidding. After the data classification receiving unit receives the submitted data from the data comprehensive sending unit, the conflicting data prompting unit reviews and displays the data conflicts, and adds an administrator intervention communication interface through the administrator intervention unit. The normal data submitted by the advertising information import module is automatically bid directly through the ranking bidding unit, and the keyword bidding unit is used to bid on the submitted keywords. The same inspiration bidding unit is used to bid on advertising inspiration and similar data. The submitted layout information is directly bid on through the typesetting cycle bidding unit. The search engine bidding unit is used to directly bid on the search engine position, and the promotion activity bidding unit directly bids on the promotion activity position. Finally, the bidding classification unit is used to conduct bidding based on the bidding information. The ads are graded and divided into four levels of A, B, C and D according to the bidding ranking. The graded ads are determined by the data budget analysis module. After receiving the graded data, the graded budget calculation unit calculates the budget costs required for the four levels of A, B, C and D ads, and confirms the initial budget costs through the initial budget confirmation unit. The final listing request of the advertiser is determined according to the budget costs, and the typesetting trial unit is used to perform typesetting and shelf trial. The advertising effect statistics unit calculates the click-through rate of the ads after typesetting in real time, and determines the final budget according to the shelf effect through the budget share adjustment module. The effect and benefit statistics unit receives the click-through rate effect of the trial period ads, and performs graded comparison through the graded budget unit.Finally, the final budget cost is calculated through the final budget confirmation unit, and the error adjustment sending unit sends the error between the initial budget and the final budget to the advertiser to confirm the final listing contract.

[0015] The present invention provides an automated advertising budget adjustment system, which has the following beneficial effects:

[0016] 1. The present invention adds an information data analysis module, and the information data analysis module performs advertisement bidding. After the data classification receiving unit receives the submitted data from the data comprehensive sending unit, the conflict data prompt unit reviews and displays the data conflict, and adds an administrator intervention communication interface through the administrator intervention unit. The normal data submitted by the advertising information import module is directly automatically bid through the ranking bidding unit, the keyword bidding unit is used to bid on the submitted keywords, the same inspiration bidding unit is used to bid on advertising inspiration and similar data, the typesetting cycle bidding unit directly bids on the submitted typesetting information, the search engine bidding unit is used to directly bid on the search engine position, and the promotion activity bidding unit directly bids on the promotion activity position. Finally, the bidding classification unit is used to classify the bidding information, and the automatic statistical bidding analysis of the data is used to clarify the ideas for the later budget and improve the calculation accuracy of the budget difference.

[0017] 2. The present invention calculates the budget costs required for the four levels of advertisements A, B, C and D through a hierarchical budget calculation unit, and confirms the initial budget costs through an initial budget confirmation unit, determines the final listing request of the advertiser based on the budget costs, and uses a typesetting trial unit to perform typesetting and shelf trial. The advertising effect statistics unit calculates the click-through rate of the advertisements after typesetting in real time, and determines the final budget through a budget share adjustment module based on the shelf effect. The effect benefit statistics unit receives the click-through rate effect of the trial period advertisements, and performs hierarchical comparison through a hierarchical budget unit, and finally calculates the final budget costs through a final budget confirmation unit. Based on the added advertising trial standards, the click-through rate of the shelf advertisements and the hierarchical typesetting, the system realizes automatic difference adjustment and calculation, thereby improving the advertising delivery efficiency value. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the system architecture of the present invention;

[0019] Figure 2 This is a schematic diagram of the user information identification module architecture of the present invention;

[0020] Figure 3 This is a schematic diagram of the administrator identification module architecture of the present invention;

[0021] Figure 4 This is a schematic diagram of the architecture of the advertisement information import module of the present invention;

[0022] Figure 5 This is a schematic diagram of the information data analysis module architecture of the present invention;

[0023] Figure 6 This is a schematic diagram of the data budget analysis module architecture of the present invention;

[0024] Figure 7 It is a schematic diagram of the budget share adjustment module architecture of the present invention.

[0025] Among them, 1. User information identification module; 2. Administrator identification module; 3. Advertising information import module; 4. Information data analysis module; 5. Data budget analysis module; 6. Budget share adjustment module; 101. Personal password input unit; 102. Mobile phone verification login unit; 103. User registration unit; 104. Registration permission unit; 105. Identity identification unit; 106. Data cloud platform unit; 107. User information input unit; 201. Administrator registration unit; 202. Administrator information input unit; 203. Personal password input unit; 204. Key U disk login unit; 205. Identity verification unit; 206. Backstage permission to enter unit; 301. Advertising inspiration import unit; 302. Search engine estimation unit; 303. Typesetting cycle submission unit; 304. Promotion activity import unit; 305, keyword import unit; 306, data integration sending unit; 401, data classification receiving unit; 402, conflicting data prompt unit; 403, ranking bidding unit; 404, keyword bidding unit; 405, similar inspiration bidding unit; 406, typesetting cycle bidding unit; 407, search engine bidding unit; 408, promotion activity bidding unit; 409, administrator intervention unit; 410, bidding classification unit; 501, classification information receiving unit; 502, classification budget calculation unit; 503, initial budget confirmation unit; 504, typesetting trial unit; 505, advertising effect statistics unit; 601, effect benefit statistics unit; 602, classification budget unit; 603, final budget confirmation unit; 604, error adjustment sending unit. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] Example:

[0028] like Figure 1-7As shown, an embodiment of the present invention provides an automated advertising budget adjustment system, including a user information identification module 1, an administrator identification module 2, an advertising information import module 3, an information data analysis module 4, a data budget analysis module 5 and a budget share adjustment module 6, wherein the user information identification module 1 is connected to the advertising information import module 3 via a WLAN signal, the administrator identification module 2 is connected to the information data analysis module 4 via a WLAN signal, the advertising information import module 3 is connected to the information data analysis module 4 via an HDR signal, the information data analysis module 4 is connected to the data budget analysis module 5 via an HDR signal, and the data budget analysis module 5 is connected to the budget share adjustment module 6 via an HDR signal;

[0029] The information data analysis module 4 includes a data classification receiving unit 401, a conflict data prompting unit 402, a ranking bidding unit 403, a keyword bidding unit 404, a similar inspiration bidding unit 405, a typesetting cycle bidding unit 406, a search engine bidding unit 407, a promotion activity bidding unit 408, an administrator intervention unit 409 and a bidding classification unit 410. The data classification receiving unit 401 is connected to the data integrated sending unit 306 via an HDR signal. The data classification receiving unit 401 is connected to the conflict data prompting unit 402. The conflict data prompting unit 402 is connected to the ranking bidding unit 403 via an HDR signal. The ranking bidding unit 403 is connected to the keyword bidding unit 404, the similar inspiration bidding unit 405, the typesetting cycle bidding unit 406, the search engine bidding unit 407, the promotion activity bidding unit 408 and the administrator intervention unit 409 via an HDR signal. The ranking bidding unit 403 is connected to the bidding classification unit 410 via an HDR signal. The ranking bidding unit 403 is connected to the administrator intervention unit 409 via a WLAN signal. The administrator intervention unit 409 connects to the background permission entry unit 206 via WLAN, and the information data analysis module 4 conducts advertising bidding. After the data classification receiving unit 401 receives the submitted data from the data comprehensive sending unit 306, the conflict data prompt unit 402 reviews and displays the data conflict, and adds an administrator intervention communication interface through the administrator intervention unit 409. The normal data submitted by the advertising information import module 3 is directly automatically bid through the ranking bidding unit 403, and the keyword bidding unit 404 is used to bid on the submitted keywords. The same inspiration bidding unit 405 is used to bid on advertising inspiration and similar data. The typesetting cycle bidding unit 406 directly bids on the submitted typesetting information, and the search engine bidding unit 407 is used to directly bid on the search engine position, and the promotion activity bidding unit 408 directly bids on the promotion activity position. Finally, the bidding classification unit 410 is used to classify according to the bidding information, and divided into four levels of A, B, C and D advertisements according to the bidding ranking.

[0030] The user information identification module 1 includes a personal password input unit 101, a mobile phone verification login unit 102, a user registration unit 103, a registration permission unit 104, an identity recognition unit 105, a data cloud platform unit 106 and a user information input unit 107. The personal password input unit 101 and the mobile phone verification login unit 102 are respectively connected to the identity recognition unit 105 through the network, the user registration unit 103 is connected to the registration permission unit 104 through the network, the registration permission unit 104 is connected to the identity recognition unit 105 through the network, the identity recognition unit 105 is connected to the data cloud platform unit 106, and the data cloud platform unit 106 is connected to the user information input unit 107. If the advertising personnel who are waiting to bid need to submit their own scientific research files, they can register their own platform account through the user registration unit 103 and complete the registration using the registration permission unit 104. The registration information can be recorded through the identity recognition unit 105, and then the personal password input unit 101 and the mobile phone verification login unit 102 are used to log in the identity, and then the identity information is counted through the user information input unit 107 and the data cloud platform unit 106.

[0031] The administrator identification module 2 includes an administrator registration unit 201, an administrator information input unit 202, a personal password input unit 203, a key U disk login unit 204, an identity review unit 205 and a background access permission unit 206. The administrator registration unit 201 is connected to the administrator information input unit 202 through a network signal. The administrator information input unit 202 is connected to the personal password input unit 203 and the key U disk login unit 204 through the network. The personal password input unit 203 and the key U disk login unit 204 are both connected to the identity review unit 205 through a network signal. The identity review unit 205 is connected to the data cloud platform unit 106 through a network signal. The audit staff can also register through the administrator registration unit 201. After filling in the identity information through the administrator information input unit 202 to confirm the identity of the administrator, the audit management personnel will obtain the administrator password and the key U disk after registration. The auditor can log in through the personal password input unit 203 and the key U disk login unit 204. After the identity review unit 206 verifies that the login is successful, the background access permission unit 206 allows the auditor to enter the system background for detailed review.

[0032] The advertising information import module 3 includes an advertising inspiration import unit 301, a search engine estimation unit 302, a typesetting cycle submission unit 303, a promotion activity import unit 304, a keyword import unit 305 and a data integrated sending unit 306. The advertising inspiration import unit 301, the search engine estimation unit 302, the typesetting cycle submission unit 303, the promotion activity import unit 304 and the keyword import unit 305 are connected to the data integrated sending unit 306 via an HDR signal. The advertising inspiration import unit 301, the search engine estimation unit 302, the typesetting cycle submission unit 303, the promotion activity import unit 304 and the keyword import unit 305 are connected to the data integrated sending unit 306 via a WLAN. According to the cloud platform unit 106, the detailed files are classified and submitted through the advertising information import module 3, the detailed content and inspiration of the advertisement are submitted using the advertising inspiration import unit 301, and the search engine prediction unit 302 submits the search platform engine to be listed, the typesetting and shelf cycle of the advertisement are submitted through the typesetting cycle submission unit 303, and the promotion activities that the advertisement wants to participate in are submitted through the promotion activity import unit 304, for example, whether the commodity advertisement wants to participate in the Double Eleven promotion interaction and other activities that require commercial value, and the keyword data of the advertisement preview interface is submitted through the keyword import unit 305, and finally sent to the information data analysis module 4 by the data integration sending unit 306.

[0033] The data budget analysis module 5 includes a hierarchical information receiving unit 501, a hierarchical budget calculation unit 502, an initial budget confirmation unit 503, a typesetting trial unit 504 and an advertising effect statistics unit 505. The hierarchical information receiving unit 501 is connected to the hierarchical budget calculation unit 502 via an HDR signal, the hierarchical budget calculation unit 502 is connected to the initial budget confirmation unit 503 via an HDR signal, the initial budget confirmation unit 503 is connected to the typesetting trial unit 504 via an HDR signal, and the typesetting trial unit 504 is connected to the advertising effect statistics unit 505 via a network signal. The advertisements that have been graded by the information data analysis module 4 are graded by the data budget analysis module 5 for budget determination. After receiving the graded data, the hierarchical information receiving unit 501 calculates the shelf budget costs required for the four-level advertisements A, B, C and D through the hierarchical budget calculation unit 502, and confirms the initial budget costs through the initial budget confirmation unit 503. The final shelf request of the advertiser is determined based on the budget costs, and the typesetting trial unit 504 is used to perform typesetting and shelf trials. The advertising effect statistics unit 505 calculates the click rate of the typesetting and shelf advertisements in real time.

[0034] The budget share adjustment module 6 includes an effect and benefit statistics unit 601, a hierarchical budget unit 602, a final budget confirmation unit 603 and an error adjustment sending unit 604. The effect and benefit statistics unit 601 is connected to the advertising effect statistics unit 505 via an HDR signal. The effect and benefit statistics unit 601 is connected to the hierarchical budget unit 602 via an HDR signal. The hierarchical budget unit 602 is connected to the final budget confirmation unit 603 via an HDR signal. The final budget confirmation unit 603 is connected to the error adjustment sending unit 604 via an HDR signal. The error adjustment sending unit 604 is connected to the data cloud platform unit 106 via a WLAN signal. The final budget is determined by the budget share adjustment module 6 according to the listing effect. The effect and benefit statistics unit 601 receives the click-through rate effect of the trial period advertisements, and performs hierarchical comparison through the hierarchical budget unit 602. Finally, the final budget cost is calculated through the final budget confirmation unit 603, and the error adjustment sending unit 604 is used to send the error amount between the initial budget and the final budget to the advertiser to confirm the final listing contract.

[0035] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automated advertising budget adjustment method, characterized in that: The method comprises the following steps: First, the advertising personnel to be bidders register their own platform accounts through the user registration unit, and complete the registration using the registration permission unit. The registration information is recorded through the identity recognition unit, and then the identity is logged in using the personal password input unit and the mobile phone verification login unit. The identity information is then counted through the user information input unit and the data cloud platform unit. Audit staff can also register through the administrator registration unit. After filling in the identity information through the administrator information input unit to confirm the identity of the administrator, the audit management personnel will obtain the administrator password and key U disk after registration. Audit personnel log in through the personal password input unit and the key U disk login unit. After the identity audit unit verifies the login successfully, the background access permission unit allows the auditor to enter the system background for data intervention; Advertisers log into the system, submit detailed files by category through the advertising information import module, submit detailed content and inspiration of the advertisement through the advertising inspiration import unit, submit the search platform engine they want to list on the shelves through the search engine prediction unit, submit the layout and shelf cycle of the advertisement through the layout cycle submission unit, submit the promotion activities they want to participate in through the promotion activity import unit, and submit the keyword data of the advertisement preview interface through the keyword import unit. Finally, the data comprehensive sending unit sends it to the information data analysis module, and the information data analysis module conducts advertising bidding; After the data classification receiving unit receives the submitted data from the data integration sending unit, the conflicting data prompting unit will review and display the data conflicts, and the administrator intervention communication interface will be added through the administrator intervention unit. The normal data submitted through the advertising information import module will be automatically bid directly through the ranking bidding unit, and the keyword bidding unit will be used to bid on the submitted keywords. The same inspiration bidding unit will be used to bid on advertising inspiration and similar data. The submitted layout information will be directly bid on through the layout cycle bidding unit, and the search engine bidding unit will be used to directly bid on the search engine position. The promotion activity bidding unit will directly bid on the promotion activity position. Finally, the bidding classification unit will be used to classify the bidding information, and the advertisements will be divided into four levels: A, B, C and D according to the bidding ranking. The classified advertisements will be divided into four levels: A, B, C and D according to the data budget. The analysis module makes a hierarchical budget determination. After receiving the hierarchical data, the hierarchical information receiving unit calculates the budget costs required for the four-level advertisements A, B, C and D through the hierarchical budget calculation unit, and confirms the initial budget costs through the initial budget confirmation unit. The final shelf request of the advertiser is determined according to the budget costs, and the typesetting trial unit is used to perform typesetting and shelf trial. The advertising effect statistics unit calculates the click-through rate of the advertisements put on the shelves after typesetting in real time, and determines the final budget through the budget share adjustment module according to the shelf effect. The effect and benefit statistics unit receives the click-through rate effect of the trial period advertisements put on the shelves, and performs hierarchical comparison through the hierarchical budget unit. Finally, the final budget costs are calculated through the final budget confirmation unit, and the error adjustment sending unit is used to send the error amount between the initial budget and the final budget to the advertiser to confirm the final shelf contract. In addition, the information data analysis module conducts advertising bidding. After the data classification receiving unit receives the data submitted by the data integration sending unit, the conflict data prompt unit reviews and displays the data conflicts, and adds an administrator intervention communication interface through the administrator intervention unit. The normal data submitted through the advertising information import module is automatically bid directly through the ranking bidding unit, the keyword bidding unit is used to bid on the submitted keywords, the same inspiration bidding unit is used to bid on advertising inspiration and similar data, the submitted layout information is directly bid on through the typesetting cycle bidding unit, the search engine bidding unit is used to directly bid on the search engine position, and the promotion activity bidding unit directly bids on the promotion activity position. Finally, the bidding classification unit is used to classify the bidding information, and the automatic statistical bidding analysis of the data is used to clarify the ideas for the later budget and improve the accuracy of the calculation of the budget difference.

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