Intelligent robot lading bill management method and system based on advertisement putting effect

Abstract

The invention discloses an intelligent robot lading bill management method and system based on an advertisement putting effect, and relates to the technical field of advertisement lading bill management, and the method comprises the steps: collecting advertisement putting platform source data, preprocessing the data into standard source data, and storing and constructing a big data storage database according to a preset architecture; sequentially extracting data based on the database, synthesizing various types of information to determine an advertisement putting effect index, calculating a dynamic threshold according to source data, judging whether to start a lading bill generation process, if so, filling a preset lading bill template in combination with multi-party information, and distributing the lading bill to an optimization platform; and tracking an initial optimization process, recording real-time information to determine an initial optimization quality index, thereby judging whether secondary optimization is carried out or not, and a new customer also has a corresponding lading bill generation process. The method has the advantages that the dynamic threshold flexibly adapts to market changes, the bill lading process is standard and efficient, closed-loop iteration is optimized and evaluated, and advertisement putting accuracy, timeliness and benefits are comprehensively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of advertising bill of lading management, and in particular to an intelligent robot bill of lading management method and system based on advertising delivery effects. Background Art

[0002] As digital marketing is booming, the scale of advertising is increasing day by day, and companies are faced with the problem of processing massive amounts of advertising data. Traditional bill of lading management relies on manual work, which is not only inefficient, but also prone to errors, and it is difficult to accurately evaluate the effectiveness of advertising. Based on this, intelligent robot bill of lading management methods and systems have emerged. They can automate and intelligently process bill of lading processes, improve efficiency, accurately analyze advertising data, help companies optimize strategies, and enhance advertising competitiveness, which is of great significance.

[0003] The existing intelligent robot bill of lading management method and system based on advertising delivery effect in the field of advertising delivery business is easy to cause the management system to deviate from the analysis of advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform due to the diverse types of advertising delivery platforms and the uneven quality of source data of the advertising delivery platforms. Therefore, it is necessary to provide an intelligent robot bill of lading management method and system based on advertising delivery effect to solve the above-mentioned problems. Summary of the invention

[0004] In order to solve the above technical problems, an intelligent robot bill of lading management method and system based on advertising delivery effect are provided. This technical solution solves the existing intelligent robot bill of lading management method and system based on advertising delivery effect proposed in the above background technology. In the field of advertising delivery business, due to the various types of advertising delivery platforms and the uneven quality of source data of advertising delivery platforms, it is easy for the management system to deviate from the analysis of advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is: An intelligent robot bill of lading management method based on advertising effect, comprising: Collecting source data of the advertising delivery platform and preprocessing the source data of the advertising delivery platform to obtain standard source data of the advertising delivery platform; Organize and store the standard source data of the advertising delivery platform according to a preset data architecture to obtain a big data storage database; Based on the big data storage database, the standard source data of the advertising delivery platform is extracted in sequence, and the advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform are determined; According to the standard source data of the advertising delivery platform, the dynamic threshold value of the advertising delivery effect indicator corresponding to the advertising delivery effect indicator is obtained; Based on the advertising effect index and the dynamic threshold of the advertising effect index, determine whether the bill of lading generation process is needed. If not, continue to monitor the standard source data of the advertising delivery platform in the big data storage database. If so, obtain the bill of lading demand information and bill of lading impact information; Generate and fill in preset bill of lading templates based on bill of lading demand information, bill of lading impact information and standard source data of the advertising delivery platform; Distribute the preset bill of lading template to the corresponding advertising delivery optimization platform, obtain and initially optimize the advertising delivery strategy corresponding to the preset bill of lading template, and obtain the initial optimization process information; Tracking initial optimization process information, recording initial real-time processing information, and determining the initial optimization quality index based on the initial real-time processing information and standard source data of the advertising delivery platform; Based on the initial optimization quality index, determine whether it is necessary to perform secondary optimization on the advertising delivery strategy corresponding to the preset bill of lading template of the initial optimization. If not, continue to collect source data from the advertising delivery platform. If so, perform secondary optimization.

[0006] In an optional embodiment, the method of extracting the standard source data of the advertising delivery platform in sequence based on the big data storage database and determining the advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform specifically includes: Based on the standard source data of the advertising delivery platform, obtain the advertising delivery platform type information, advertising delivery historical performance data, customer basic information and advertising material information; According to the basic information of the customer, a basic information parameter matrix of the customer is constructed, and the standard source data of the advertising delivery platform with the same basic information parameter matrix of the customer is integrated to obtain the first standard source data; Based on the advertisement delivery platform type information, the first standard source data is divided to obtain first standard source sub-data; Based on the historical performance data of advertising, , sequentially obtain the first advertising effect indicator corresponding to the first standard source sub-data, where: For the a first advertising delivery effect indicator corresponding to the first standard source sub-data of the advertising delivery platform type, For the The maximum daily activity of the advertising platform of the type of advertising platform, For the Average daily activity of advertising platforms of different advertising platform types, For the The click-through rate of the advertisements corresponding to the first standard source data of the type of advertisement delivery platform, For the The advertising conversion rate corresponding to the first standard source data of the advertising delivery platform type, and are the importance weights of ad click rate and ad conversion rate respectively; Based on the advertising material information, the first standard source sub-data is divided to obtain the second standard source sub-data, wherein the advertising material information includes picture type advertising material, video type advertising material, interactive advertising material, native advertising material, full screen advertising material and AR advertising material; Respectively obtain the second advertising delivery effect sub-indicator of the second standard source sub-data corresponding to the image type advertising creative, the video type advertising creative, the interactive advertising creative, the native advertising creative, the full screen advertising creative and the AR advertising creative; Obtaining the average of the second advertising delivery effect sub-indicators as the second advertising delivery effect indicator; The average of the first advertising delivery effect indicator and the second advertising delivery effect indicator is used as the advertising delivery effect indicator corresponding to the standard source data of the advertising delivery platform.

[0007] In an optional embodiment, obtaining the dynamic threshold of the advertising delivery effect indicator corresponding to the advertising delivery effect indicator according to the standard source data of the advertising delivery platform specifically includes: Based on the standard source data of the advertising delivery platform, the initial advertising delivery timestamp and dynamic threshold calculation timestamp of different advertising delivery platforms are obtained; Obtain the absolute value of the time difference between the initial advertisement delivery timestamp and the dynamic threshold calculation timestamp corresponding to different advertisement delivery platforms, and obtain the dynamic threshold calculation time reference value; Calculate the time reference value according to the dynamic threshold value, and obtain the advertisement delivery data node interception value and the sliding interception unit value; Using the advertisement delivery data node interception value and the sliding interception unit value, the advertisement delivery platform standard source data is slidingly intercepted to obtain the advertisement delivery platform standard source interception data and the interception time period; pass , obtain the dynamic indicators of advertising effect corresponding to the intercepted data of the standard source of the advertising platform, where: For the Dynamic indicators of advertising effectiveness corresponding to the data intercepted from the standard source of each advertising platform, For the The first advertising effect indicator corresponding to the data intercepted from the standard source of the advertising platform, No. a second advertising delivery effect indicator corresponding to the intercepted data from a standard source of an advertising delivery platform; Obtaining the maximum and minimum values ​​of the dynamic indicators of the advertising delivery effect, removing the maximum and minimum values ​​of the dynamic indicators of the advertising delivery effect, obtaining the average of the remaining dynamic indicators of the advertising delivery effect, and obtaining the advertising delivery effect indicator threshold value corresponding to the advertising delivery effect indicator; pass , obtain the dynamic weight corresponding to the threshold of the advertising effect indicator, where: For the The dynamic weight corresponding to the threshold of the advertising effect index of the standard source intercepted data of the advertising platform, For the The average daily activity of the standard source intercepted data of the advertising delivery platform during the interception time period, For the The maximum daily activity of the standard source intercepted data of an advertising platform within the interception time period; The product value of the dynamic weight corresponding to the advertising delivery effect indicator threshold and the advertising delivery effect indicator threshold is used as the advertising delivery effect indicator dynamic threshold corresponding to the advertising delivery effect indicator.

[0008] In an optional embodiment, the generating and filling of a preset bill of lading template based on the bill of lading demand information, the bill of lading impact information and the standard source data of the advertising delivery platform specifically includes: According to the bill of lading demand information, obtain the bill of lading information of the advertising campaign name, the bill of lading information of the advertising delivery platform, the bill of lading information of the advertising delivery time and the bill of lading information of the advertising delivery key indicators; Based on the bill of lading information of the advertising campaign name, determine the bill of lading information of the advertising material; Obtaining standard source data of the advertising delivery platform whose advertising delivery effect index is greater than the dynamic threshold of the advertising delivery effect index, and extracting preferred advertising material information from the standard source data of the advertising delivery platform based on the advertising material bill of lading information; Initially integrating the preferred advertising material information and the advertising material bill of lading information to obtain initial advertising material bill of lading integration information; Determine the key indicator range matrix for advertising based on the bill of lading information and bill of lading impact information of key indicators for advertising; Generate the initial bill of lading number information, initial bill of lading date information, and initial bill of lading customer basic information based on the initial advertising material bill of lading integration information, advertising delivery time bill of lading information, and advertising delivery platform bill of lading information; Generate and fill in the preset bill of lading template based on the initial bill of lading number information, initial bill of lading date information, and initial bill of lading customer basic information.

[0009] In an optional embodiment, the tracking of the initial optimization process information, recording the initial real-time processing information, and determining the initial optimization quality index based on the initial real-time processing information and the standard source data of the advertising delivery platform specifically include: Based on the initial real-time processing information, obtain the real-time information of the advertising delivery platform type, the real-time data of the advertising delivery performance, the basic real-time information of the customer, the real-time information of the advertising material and the first real-time processing time information, and obtain the real-time source data of the advertising delivery platform; Sliding interception of the real-time source data of the advertising delivery platform is performed using the advertisement delivery data node interception value, the sliding interception unit value and the initial real-time processing time information to obtain the real-time interception source data of the advertisement delivery platform; Based on the advertising delivery platform, source data is intercepted in real time to obtain real-time indicators of advertising delivery effects; According to the real-time indicators of advertising delivery effects, a bar chart of real-time indicators of advertising delivery effects is constructed; Using the real-time indicator bar chart of advertising delivery effect, construct a real-time indicator cylinder of advertising delivery effect; Based on the advertising key indicator range matrix, , obtain the threshold of key comprehensive indicators for advertising delivery, where: It is the threshold value of the key comprehensive indicator of advertising. For the advertising key indicator range matrix The first value in the range, For the advertising key indicator range matrix The second value in the range, The total number of ranges in the key metric range matrix for the ad delivery; Based on the real-time indicators of advertising delivery effects, the intercepted values ​​of advertising delivery data nodes and the real-time indicator cylinders of advertising delivery effects, , obtain the real-time comprehensive indicators of advertising delivery effects corresponding to the real-time source data of the advertising delivery platform, among which, is the circumference of a circle, Intercept the value of the advertisement delivery data node. For the Each advertising platform captures the real-time indicators of advertising effects corresponding to the source data in real time. The total number of source data intercepted in real time by the advertising delivery platform; If the real-time comprehensive index of advertising delivery effect corresponding to the real-time source data of the advertising delivery platform is greater than or equal to the threshold of the key comprehensive index of advertising delivery, the real-time comprehensive index of advertising delivery effect will be used as the initial optimization quality index; otherwise, the initial optimization quality index will be half of the real-time comprehensive index of advertising delivery effect.

[0010] In an optional embodiment, if there is a new customer who needs to be advertised and optimized, the bill of lading generation process also includes: Obtain information on new customers' bill of lading requirements and the impact of new customers' bill of lading; Generate and fill in a preset new bill of lading template based on new customer bill of lading demand information, new customer bill of lading impact information and advertising platform standard source data; Distribute the preset new bill of lading template to the corresponding advertising delivery optimization platform, and deliver and optimize the corresponding advertising delivery strategy.

[0011] Furthermore, an intelligent robot bill of lading management system based on the effect of advertising is proposed, which is used to implement any of the above management methods, including: A data collection module, wherein the data collection module is used to collect source data of the advertising delivery platform and perform data preprocessing on the source data of the advertising delivery platform to obtain standard source data of the advertising delivery platform; A data management module, wherein the data management module is used to organize and store the standard source data of the advertising delivery platform according to a preset data architecture to obtain a big data storage database, and to determine whether a bill of lading generation process is required based on an advertising delivery effect index and a dynamic threshold value of the advertising delivery effect index, and to determine whether a secondary optimization is required for the advertising delivery strategy corresponding to the preset bill of lading template of the initial optimization based on the initial optimization quality index; The effect indicator calculation and threshold setting module is used to extract the standard source data of the advertising delivery platform in sequence based on the big data storage database, and determine the advertising delivery effect indicator corresponding to the standard source data of the advertising delivery platform, and obtain the advertising delivery effect indicator dynamic threshold corresponding to the advertising delivery effect indicator according to the standard source data of the advertising delivery platform; The bill of lading tracking module is used to distribute the preset bill of lading template to the corresponding advertising delivery optimization platform, obtain and initially optimize the advertising delivery strategy corresponding to the preset bill of lading template, and at the same time obtain the initial optimization process information, which is used to track the initial optimization process information and record the initial real-time processing information.

[0012] In an optional embodiment, the data management module includes: A data storage unit, the data storage unit is used to organize and store the standard source data of the advertising delivery platform according to a preset data architecture to obtain a big data storage database; The data judgment unit is used to judge whether it is necessary to perform a bill of lading generation process based on an advertising delivery effect index and a dynamic threshold of the advertising delivery effect index, and to judge whether it is necessary to perform secondary optimization on the advertising delivery strategy corresponding to the initially optimized preset bill of lading template based on an initial optimization quality index.

[0013] In an optional embodiment, the effect indicator calculation and threshold setting module includes: An effect indicator calculation unit, the effect indicator calculation unit is used to extract the standard source data of the advertising delivery platform in sequence based on the big data storage database, and determine the advertising delivery effect indicator corresponding to the standard source data of the advertising delivery platform; A threshold setting unit, wherein the threshold setting unit is used to obtain a dynamic threshold value of an advertising delivery effect indicator corresponding to the advertising delivery effect indicator according to standard source data of the advertising delivery platform.

[0014] In an optional embodiment, the bill of lading tracking module includes: An advertisement delivery optimization unit, the advertisement delivery optimization unit being used to distribute the preset bill of lading template to the corresponding advertisement delivery optimization platform, obtain and initially optimize the advertisement delivery strategy corresponding to the preset bill of lading template, and simultaneously obtain initial optimization process information; A tracking unit is used to track the initial optimization process information and record the initial real-time processing information.

[0015] Compared with the prior art, the present invention has the following beneficial effects: This scheme proposes an intelligent robot bill of lading management method and system based on advertising delivery effect. Based on the big data storage database, the standard source data of the advertising delivery platform is extracted in sequence, and the advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform are determined. The indicators are determined by comprehensively considering the platform type, historical performance, customers and material information, so as to achieve a comprehensive evaluation of the advertising delivery effect. The management system is no longer limited to the consideration of a single dimension, but is comprehensively evaluated from multiple key perspectives. The obtained effect indicators can accurately reflect the actual delivery effect and assist in making more practical delivery decisions. This solution proposes an intelligent robot bill of lading management method and system based on advertising delivery effect. Through the standard source data of the advertising delivery platform, the dynamic threshold of the advertising delivery effect indicator corresponding to the advertising delivery effect indicator is obtained to achieve dynamic adaptation of the threshold. In view of the diversity of advertising delivery platforms, it is difficult for fixed thresholds to keep up with the rhythm. The dynamic threshold can be flexibly adjusted in real time according to factors such as delivery time and platform activity, and can timely detect subtle changes in delivery effects, trigger a reasonable bill of lading process, and make advertising optimization more timely and targeted. This solution proposes an intelligent robot bill of lading management method and system based on the effect of advertising. It generates and fills in preset bill of lading templates based on bill of lading demand information, bill of lading impact information and standard source data of the advertising platform, realizes standardized bill of lading creation, and integrates key information from multiple parties. The advantage is that it provides clear and complete guidance for subsequent advertising optimization. Different personnel work according to a unified bill of lading template, which can reduce communication costs and improve collaboration efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1This is a flow chart of an intelligent robot bill of lading management method based on advertising delivery effect proposed by the present invention; Figure 2 This is a flowchart for obtaining the advertisement delivery effect index in the present invention; Figure 3 A flowchart for obtaining a dynamic threshold value of an advertisement delivery effect indicator in the present invention; Figure 4 This is a system framework diagram of an intelligent robot bill of lading management system based on advertising delivery effects proposed by the present invention. DETAILED DESCRIPTION

[0017] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0018] Reference Figure 1 - Figure 4 As shown, an intelligent robot bill of lading management method based on advertising delivery effect includes: Collecting source data of the advertising delivery platform and preprocessing the source data of the advertising delivery platform to obtain standard source data of the advertising delivery platform; Organize and store the standard source data of the advertising delivery platform according to a preset data architecture to obtain a big data storage database; Based on the big data storage database, the standard source data of the advertising delivery platform is extracted in sequence, and the advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform are determined; According to the standard source data of the advertising delivery platform, the dynamic threshold value of the advertising delivery effect indicator corresponding to the advertising delivery effect indicator is obtained; Based on the advertising effect index and the dynamic threshold of the advertising effect index, determine whether the bill of lading generation process is needed. If not, continue to monitor the standard source data of the advertising delivery platform in the big data storage database. If so, obtain the bill of lading demand information and bill of lading impact information; Generate and fill in preset bill of lading templates based on bill of lading demand information, bill of lading impact information and standard source data of the advertising delivery platform; Distribute the preset bill of lading template to the corresponding advertising delivery optimization platform, obtain and initially optimize the advertising delivery strategy corresponding to the preset bill of lading template, and obtain the initial optimization process information; Tracking initial optimization process information, recording initial real-time processing information, and determining the initial optimization quality index based on the initial real-time processing information and standard source data of the advertising delivery platform; Based on the initial optimization quality index, determine whether it is necessary to perform secondary optimization on the advertising delivery strategy corresponding to the preset bill of lading template of the initial optimization. If not, continue to collect source data from the advertising delivery platform. If so, perform secondary optimization.

[0019] Specifically, based on the advertising delivery effect index and the dynamic threshold of the advertising delivery effect index, it is determined whether the bill of lading generation process is needed. If the advertising delivery effect index is greater than or equal to the dynamic threshold of the advertising delivery effect index, it means that the advertising delivery effect of the standard source data of the advertising delivery platform is good and the bill of lading generation process does not need to be carried out. Otherwise, the bill of lading generation process is needed.

[0020] Furthermore, based on the big data storage database, the standard source data of the advertising delivery platform is extracted in sequence, and the advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform are determined, specifically including: Based on the standard source data of the advertising delivery platform, obtain the advertising delivery platform type information, advertising delivery historical performance data, customer basic information and advertising material information; According to the basic information of the customer, a basic information parameter matrix of the customer is constructed, and the standard source data of the advertising delivery platform with the same basic information parameter matrix of the customer is integrated to obtain the first standard source data; Based on the advertisement delivery platform type information, the first standard source data is divided to obtain first standard source sub-data; Based on the historical performance data of advertising, , sequentially obtain the first advertising effect indicator corresponding to the first standard source sub-data, where: For the a first advertising delivery effect indicator corresponding to the first standard source sub-data of the advertising delivery platform type, For the The maximum daily activity of the advertising platform of the type of advertising platform, For the Average daily activity of advertising platforms of different advertising platform types, For the The click-through rate of the advertisements corresponding to the first standard source data of the type of advertisement delivery platform, For the The advertising conversion rate corresponding to the first standard source data of the advertising delivery platform type, and are the importance weights of ad click rate and ad conversion rate respectively; Based on the advertising material information, the first standard source sub-data is divided to obtain the second standard source sub-data, where the advertising material information includes image type advertising material, video type advertising material, interactive advertising material, native advertising material, full screen advertising material and AR advertising material; Respectively obtain the second advertising delivery effect sub-indicator of the second standard source sub-data corresponding to the image type advertising creative, the video type advertising creative, the interactive advertising creative, the native advertising creative, the full screen advertising creative and the AR advertising creative; Obtaining the average of the second advertising delivery effect sub-indicators as the second advertising delivery effect indicator; The average of the first advertising delivery effect indicator and the second advertising delivery effect indicator is used as the advertising delivery effect indicator corresponding to the standard source data of the advertising delivery platform.

[0021] Specifically, for the second advertising delivery effect sub-indicator of the second standard source sub-data corresponding to image type advertising creatives, the second advertising delivery effect sub-indicator can be obtained by weighted summing up the click-through rate, display times, exposure, conversion rate, etc. of image type advertising creatives; for the second advertising delivery effect sub-indicator corresponding to video type advertising creatives, the number of views, viewing time, completion rate, skip rate, etc. of video type advertising creatives can be obtained by weighted summing up; for the second advertising delivery effect sub-indicator corresponding to interactive advertising creatives, the number of interactions, interaction rate, stay time, etc. corresponding to the interactive advertising creatives can be obtained by weighted summing up; for the second advertising delivery effect sub-indicator of the second standard source sub-data corresponding to native advertising creatives, full-screen advertising creatives and AR advertising creatives, the weighted summing can be adopted in a similar manner to the above.

[0022] Furthermore, according to the standard source data of the advertising delivery platform, the dynamic threshold of the advertising delivery effect indicator corresponding to the advertising delivery effect indicator is obtained, specifically including: Based on the standard source data of the advertising delivery platform, the initial advertising delivery timestamp and dynamic threshold calculation timestamp of different advertising delivery platforms are obtained; Obtain the absolute value of the time difference between the initial advertisement delivery timestamp and the dynamic threshold calculation timestamp corresponding to different advertisement delivery platforms, and obtain the dynamic threshold calculation time reference value; Calculate the time reference value according to the dynamic threshold value, and obtain the advertisement delivery data node interception value and the sliding interception unit value; Using the advertisement delivery data node interception value and the sliding interception unit value, the advertisement delivery platform standard source data is slidingly intercepted to obtain the advertisement delivery platform standard source interception data and the interception time period; pass , obtain the dynamic indicators of advertising effect corresponding to the intercepted data of the standard source of the advertising platform, where: For the Dynamic indicators of advertising effectiveness corresponding to the data intercepted from the standard source of each advertising platform, For the The first advertising effect indicator corresponding to the data intercepted from the standard source of the advertising platform, No. a second advertising delivery effect indicator corresponding to the intercepted data from a standard source of an advertising delivery platform; Obtaining the maximum and minimum values ​​of the dynamic indicators of the advertising delivery effect, removing the maximum and minimum values ​​of the dynamic indicators of the advertising delivery effect, obtaining the average of the remaining dynamic indicators of the advertising delivery effect, and obtaining the advertising delivery effect indicator threshold value corresponding to the advertising delivery effect indicator; pass , obtain the dynamic weight corresponding to the threshold of the advertising effect indicator, where: For the The dynamic weight corresponding to the threshold of the advertising effect index of the standard source intercepted data of the advertising platform, For the The average daily activity of the standard source intercepted data of the advertising delivery platform during the interception time period, For the The maximum daily activity of the standard source intercepted data of an advertising platform within the interception time period; The product value of the dynamic weight corresponding to the advertising delivery effect indicator threshold and the advertising delivery effect indicator threshold is used as the advertising delivery effect indicator dynamic threshold corresponding to the advertising delivery effect indicator.

[0023] Specifically, the initial delivery timestamp and dynamic threshold calculation timestamp of different platforms are obtained from the standard source data of the advertising delivery platform, and the absolute value of the difference between the two is calculated, which is the dynamic threshold calculation time reference value. According to the above reference value, the advertising delivery data node interception value and the sliding interception unit value are determined, and the standard source data are slidably intercepted to obtain the intercepted data and the corresponding interception time period. The first and second advertising delivery effect indicators corresponding to the intercepted data are combined to calculate the advertising delivery effect dynamic indicator corresponding to the intercepted data of the standard source of the advertising delivery platform, and the average is calculated after the maximum value in the effect dynamic indicator is eliminated to obtain the advertising delivery effect indicator threshold; the dynamic weight is calculated according to the average daily active users and maximum daily active users of the intercepted data within the interception period, and the advertising delivery effect indicator threshold is multiplied by the corresponding dynamic weight to obtain the advertising delivery effect indicator dynamic threshold corresponding to the advertising delivery effect indicator.

[0024] It can be understood that the standard source data of the advertising delivery platform is intercepted by sliding with the interception value of the advertising delivery data node and the sliding interception unit value, and the interception data and interception time period of the standard source of the advertising delivery platform are obtained. The interception value of the advertising delivery data node can be understood as the size of each intercepted data block, for example, it is set to 50 data records. It determines the amount of data intercepted at a time. The larger the value, the wider the coverage of the intercepted data block, but the calculation complexity can increase; the smaller the value, the more refined the intercepted data is, and the more sensitive to short-term fluctuations. This is the distance of each sliding movement, assuming it is set to 10 records. A smaller sliding interception unit value means a denser interception, which can capture more detailed trends; a larger value makes the interception process more efficient, but some subtle fluctuations can be missed. In the sliding interception process, the starting position starts from the starting position of the standard source data, and the first batch of data is framed first according to the chronological order of the data records. The number of this batch of data is the interception value of the advertising delivery data node. For example, the data starts from the first record, and the first 50 records are intercepted as the first data block. Slide and move. After intercepting the first data block, move the interception window downward according to the sliding interception unit value. That is, starting from the 11th record, intercept 50 records again to form the second data block; then intercept from the 21st record, and repeat this cycle until the end of the data is less than a complete data node interception value. Each time the data is intercepted, this set of data is saved as the standard source interception data of the advertising platform, and the corresponding time range, that is, the interception time period, is recorded. For example, the 50 data intercepted for the first time, the corresponding time span is from 00:00 on January 1, 2025 to 12:00 on January 3, 2025. This time span is the interception time period of this interception. Through continuous sliding interception, the original large-scale standard source data is eventually divided into multiple small data blocks, each of which comes with a clear time range, which is convenient for subsequent targeted analysis of the dynamic changes in advertising delivery effects in different time periods.

[0025] Furthermore, based on the bill of lading demand information, bill of lading impact information and the standard source data of the advertising delivery platform, a preset bill of lading template is generated and filled, specifically including: According to the bill of lading demand information, obtain the bill of lading information of the advertising campaign name, the bill of lading information of the advertising delivery platform, the bill of lading information of the advertising delivery time and the bill of lading information of the advertising delivery key indicators; Based on the bill of lading information of the advertising campaign name, determine the bill of lading information of the advertising material; Obtaining standard source data of the advertising delivery platform whose advertising delivery effect index is greater than the dynamic threshold of the advertising delivery effect index, and extracting preferred advertising material information from the standard source data of the advertising delivery platform based on the advertising material bill of lading information; Initially integrating the preferred advertising material information and the advertising material bill of lading information to obtain initial advertising material bill of lading integration information; Determine the key indicator range matrix for advertising based on the bill of lading information and bill of lading impact information of key indicators for advertising; Generate the initial bill of lading number information, initial bill of lading date information, and initial bill of lading customer basic information based on the initial advertising material bill of lading integration information, advertising delivery time bill of lading information, and advertising delivery platform bill of lading information; Generate and fill in the preset bill of lading template based on the initial bill of lading number information, initial bill of lading date information, and initial bill of lading customer basic information.

[0026] Specifically, the initial bill of lading number information can be combined with the initial advertising material bill of lading integration information, the advertising delivery time bill of lading information, and the advertising delivery platform bill of lading information according to preset rules and algorithms to generate a unique bill of lading number. For example, the key parts of these information are combined and encrypted using specific coding rules to form an identifiable number. The initial advertising material bill of lading integration information, the advertising delivery time bill of lading information, and the advertising delivery platform bill of lading information are combined to generate a unique bill of lading number. For example, the key parts of these information are combined and encrypted using specific coding rules to form an identifiable number.

[0027] Furthermore, the initial optimization process information is tracked, the initial real-time processing information is recorded, and the initial optimization quality index is determined based on the initial real-time processing information and the standard source data of the advertising delivery platform, including: Based on the initial real-time processing information, obtain the real-time information of the advertising delivery platform type, the real-time data of the advertising delivery performance, the basic real-time information of the customer, the real-time information of the advertising material and the first real-time processing time information, and obtain the real-time source data of the advertising delivery platform; Sliding interception of the real-time source data of the advertising delivery platform is performed using the advertisement delivery data node interception value, the sliding interception unit value and the initial real-time processing time information to obtain the real-time interception source data of the advertisement delivery platform; Based on the advertising delivery platform, source data is intercepted in real time to obtain real-time indicators of advertising delivery effects; According to the real-time indicators of advertising delivery effects, a bar chart of real-time indicators of advertising delivery effects is constructed; Using the real-time indicator bar chart of advertising delivery effect, construct a real-time indicator cylinder of advertising delivery effect; Based on the advertising key indicator range matrix, , obtain the threshold of key comprehensive indicators for advertising delivery, where: It is the threshold value of the key comprehensive indicator of advertising. For the advertising key indicator range matrix The first value in the range, For the advertising key indicator range matrix The second value in the range, The total number of ranges in the key metric range matrix for the ad delivery; Based on the real-time indicators of advertising delivery effects, the intercepted values ​​of advertising delivery data nodes and the real-time indicator cylinders of advertising delivery effects, , obtain the real-time comprehensive indicators of advertising delivery effects corresponding to the real-time source data of the advertising delivery platform, among which, is the circumference of a circle, Intercept the value of the advertisement delivery data node. For the Each advertising platform captures the real-time indicators of advertising effects corresponding to the source data in real time. The total number of source data intercepted in real time by the advertising delivery platform; If the real-time comprehensive index of advertising delivery effect corresponding to the real-time source data of the advertising delivery platform is greater than or equal to the threshold of the key comprehensive index of advertising delivery, the real-time comprehensive index of advertising delivery effect will be used as the initial optimization quality index; otherwise, the initial optimization quality index will be half of the real-time comprehensive index of advertising delivery effect.

[0028] Specifically, the initial real-time processing information is a data set from which key information of different categories is sorted out. Real-time information on the type of advertising platform can indicate the specific platform for the current advertising, whether it is Douyin, WeChat, or other platforms; real-time data on advertising performance covers dynamic indicators such as real-time click-throughs, conversion rates, and impressions; basic real-time customer information includes the age, gender, and geographical distribution of customers participating in the interaction at the moment; real-time information on advertising materials involves whether the ads being delivered are pictures, videos, or other forms, as well as real-time popularity data of the materials; and the initial real-time processing time information accurately records the current moment of data capture and processing. Putting this information together forms the real-time source data of the advertising platform.

[0029] It is understandable that the real-time source data of the sliding interception is carried out on the real-time source data of the newly integrated advertising delivery platform with the help of the previously set advertising delivery data node interception value and the sliding interception unit value, combined with the initial real-time processing time information. Based on the intercepted real-time source data of the advertising delivery platform, the real-time indicators of various advertising delivery effects are calculated according to the calculation formula of the above advertising delivery effect indicators. These indicators may be related to click-through rate, conversion rate, and input-output ratio, and are used to accurately reflect the actual effect of the current advertising delivery.

[0030] The expression formula of the key indicator range matrix of advertising delivery is: ,in, For the advertising key indicator range matrix The first value in the range, For the advertising key indicator range matrix The second value in the range.

[0031] Furthermore, if there are new customers who need to place advertisements and optimize advertisements, the bill of lading generation process also includes: Obtain information on new customers' bill of lading requirements and the impact of new customers' bill of lading; Generate and fill in a preset new bill of lading template based on new customer bill of lading demand information, new customer bill of lading impact information and advertising platform standard source data; Distribute the preset new bill of lading template to the corresponding advertising delivery optimization platform, and deliver and optimize the corresponding advertising delivery strategy.

[0032] Furthermore, an intelligent robot bill of lading management system based on the effect of advertising is proposed, which is used to implement any of the above management methods, including: The data collection module is used to collect source data of the advertising delivery platform and perform data preprocessing on the source data of the advertising delivery platform to obtain standard source data of the advertising delivery platform; Data management module: The data management module is used to organize and store the standard source data of the advertising delivery platform according to the preset data architecture to obtain a big data storage database. Based on the advertising delivery effect index and the dynamic threshold of the advertising delivery effect index, it is determined whether the bill of lading generation process needs to be performed. Based on the initial optimization quality index, it is determined whether the advertising delivery strategy corresponding to the initial optimized preset bill of lading template needs to be optimized for the second time. The effect indicator calculation and threshold setting module is used to extract the standard source data of the advertising delivery platform in sequence based on the big data storage database, and determine the advertising delivery effect indicator corresponding to the standard source data of the advertising delivery platform, and obtain the dynamic threshold value of the advertising delivery effect indicator corresponding to the advertising delivery effect indicator according to the standard source data of the advertising delivery platform; The bill of lading tracking module is used to distribute the preset bill of lading template to the corresponding advertising delivery optimization platform, obtain and initially optimize the advertising delivery strategy corresponding to the preset bill of lading template, and at the same time obtain the initial optimization process information, which is used to track the initial optimization process information and record the initial real-time processing information.

[0033] Furthermore, the data management module includes: A data storage unit, the data storage unit is used to organize and store the standard source data of the advertising delivery platform according to a preset data architecture to obtain a big data storage database; The data judgment unit is used to judge whether it is necessary to carry out the bill of lading generation process based on the advertising delivery effect index and the dynamic threshold of the advertising delivery effect index, and to judge whether it is necessary to perform secondary optimization on the advertising delivery strategy corresponding to the preset bill of lading template of the initial optimization based on the initial optimization quality index.

[0034] Furthermore, the effect index calculation and threshold setting module includes: The effect indicator calculation unit is used to extract the standard source data of the advertising delivery platform in sequence based on the big data storage database, and determine the advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform; The threshold setting unit is used to obtain a dynamic threshold value of an advertising delivery effect indicator corresponding to the advertising delivery effect indicator according to standard source data of the advertising delivery platform.

[0035] Furthermore, the bill of lading tracking module includes: The advertising delivery optimization unit is used to distribute the preset bill of lading template to the corresponding advertising delivery optimization platform, obtain and initially optimize the advertising delivery strategy corresponding to the preset bill of lading template, and obtain the initial optimization process information; Tracking unit, the tracking unit is used to track the initial optimization process information and record the initial real-time processing information.

[0036] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent robot bill of lading management method based on advertising effect, characterized in that: include: Collecting source data of the advertising delivery platform and preprocessing the source data of the advertising delivery platform to obtain standard source data of the advertising delivery platform; Organize and store the standard source data of the advertising delivery platform according to a preset data architecture to obtain a big data storage database; Based on the big data storage database, the standard source data of the advertising delivery platform is extracted in sequence, and the advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform are determined; According to the standard source data of the advertising delivery platform, the dynamic threshold value of the advertising delivery effect indicator corresponding to the advertising delivery effect indicator is obtained; Based on the advertising effect index and the dynamic threshold of the advertising effect index, determine whether the bill of lading generation process is needed. If not, continue to monitor the standard source data of the advertising delivery platform in the big data storage database. If so, obtain the bill of lading demand information and bill of lading impact information; Generate and fill in preset bill of lading templates based on bill of lading demand information, bill of lading impact information and standard source data of the advertising delivery platform; Distribute the preset bill of lading template to the corresponding advertising delivery optimization platform, obtain and initially optimize the advertising delivery strategy corresponding to the preset bill of lading template, and obtain the initial optimization process information; Tracking initial optimization process information, recording initial real-time processing information, and determining the initial optimization quality index based on the initial real-time processing information and standard source data of the advertising delivery platform; Based on the initial optimization quality index, determine whether it is necessary to perform secondary optimization on the advertising delivery strategy corresponding to the preset bill of lading template of the initial optimization. If not, continue to collect source data from the advertising delivery platform. If so, perform secondary optimization.

2. According to claim 1, an intelligent robot bill of lading management method based on advertising delivery effect is characterized in that: The method of extracting the standard source data of the advertising delivery platform in sequence based on the big data storage database and determining the advertising delivery effect indicators corresponding to the standard source data of the advertising delivery platform specifically includes: Based on the standard source data of the advertising delivery platform, obtain the advertising delivery platform type information, advertising delivery historical performance data, customer basic information and advertising material information; According to the basic information of the customer, a basic information parameter matrix of the customer is constructed, and the standard source data of the advertising delivery platform with the same basic information parameter matrix of the customer is integrated to obtain the first standard source data; Based on the advertisement delivery platform type information, the first standard source data is divided to obtain first standard source sub-data; Based on the historical performance data of advertising, , sequentially obtain the first advertising effect indicator corresponding to the first standard source sub-data, where: For the a first advertising delivery effect indicator corresponding to the first standard source sub-data of the advertising delivery platform type, For the The maximum daily activity of the advertising platform of the type of advertising platform, For the Average daily activity of advertising platforms of different advertising platform types, For the The click-through rate of the advertisements corresponding to the first standard source data of the type of advertisement delivery platform, For the The advertising conversion rate corresponding to the first standard source data of the advertising delivery platform type, and are the importance weights of ad click rate and ad conversion rate respectively; Based on the advertising material information, the first standard source sub-data is divided to obtain the second standard source sub-data, wherein the advertising material information includes picture type advertising material, video type advertising material, interactive advertising material, native advertising material, full screen advertising material and AR advertising material; Respectively obtain the second advertising delivery effect sub-indicator of the second standard source sub-data corresponding to the image type advertising creative, the video type advertising creative, the interactive advertising creative, the native advertising creative, the full screen advertising creative and the AR advertising creative; Obtaining the average of the second advertising delivery effect sub-indicators as the second advertising delivery effect indicator; The average of the first advertising delivery effect indicator and the second advertising delivery effect indicator is used as the advertising delivery effect indicator corresponding to the standard source data of the advertising delivery platform.

3. The intelligent robot bill of lading management method based on advertising effect according to claim 2 is characterized in that: The step of obtaining the dynamic threshold of the advertising delivery effect indicator corresponding to the advertising delivery effect indicator according to the standard source data of the advertising delivery platform specifically includes: Based on the standard source data of the advertising delivery platform, the initial advertising delivery timestamp and dynamic threshold calculation timestamp of different advertising delivery platforms are obtained; Obtain the absolute value of the time difference between the initial advertisement delivery timestamp and the dynamic threshold calculation timestamp corresponding to different advertisement delivery platforms, and obtain the dynamic threshold calculation time reference value; Calculate the time reference value according to the dynamic threshold value, and obtain the advertisement delivery data node interception value and the sliding interception unit value; Using the advertisement delivery data node interception value and the sliding interception unit value, the advertisement delivery platform standard source data is slidingly intercepted to obtain the advertisement delivery platform standard source interception data and the interception time period; pass , obtain the dynamic indicators of advertising effect corresponding to the intercepted data of the standard source of the advertising platform, where: For the Dynamic indicators of advertising effectiveness corresponding to the data intercepted from the standard source of each advertising platform, For the The first advertising effect indicator corresponding to the data intercepted from the standard source of the advertising platform, No. a second advertising delivery effect indicator corresponding to the intercepted data from a standard source of an advertising delivery platform; Obtaining the maximum and minimum values ​​of the dynamic indicators of the advertising delivery effect, removing the maximum and minimum values ​​of the dynamic indicators of the advertising delivery effect, obtaining the average of the remaining dynamic indicators of the advertising delivery effect, and obtaining the advertising delivery effect indicator threshold value corresponding to the advertising delivery effect indicator; pass , obtain the dynamic weight corresponding to the threshold of the advertising effect indicator, where: For the The dynamic weight corresponding to the threshold of the advertising effect index of the standard source intercepted data of the advertising platform, For the The average daily activity of the standard source intercepted data of the advertising delivery platform during the interception time period, For the The maximum daily activity of the standard source intercepted data of an advertising platform within the interception time period; The product value of the dynamic weight corresponding to the advertising delivery effect indicator threshold and the advertising delivery effect indicator threshold is used as the advertising delivery effect indicator dynamic threshold corresponding to the advertising delivery effect indicator.

4. The intelligent robot bill of lading management method based on advertising effect according to claim 3 is characterized in that: The method of generating and filling a preset bill of lading template based on bill of lading demand information, bill of lading impact information and standard source data of the advertising delivery platform specifically includes: According to the bill of lading demand information, obtain the bill of lading information of the advertising campaign name, the bill of lading information of the advertising delivery platform, the bill of lading information of the advertising delivery time and the bill of lading information of the advertising delivery key indicators; Based on the bill of lading information of the advertising campaign name, determine the bill of lading information of the advertising material; Obtaining standard source data of the advertising delivery platform whose advertising delivery effect index is greater than the dynamic threshold of the advertising delivery effect index, and extracting preferred advertising material information from the standard source data of the advertising delivery platform based on the advertising material bill of lading information; Initially integrating the preferred advertising material information and the advertising material bill of lading information to obtain initial advertising material bill of lading integration information; Determine the key indicator range matrix for advertising based on the bill of lading information and bill of lading impact information of key indicators for advertising; Generate the initial bill of lading number information, initial bill of lading date information, and initial bill of lading customer basic information based on the initial advertising material bill of lading integration information, advertising delivery time bill of lading information, and advertising delivery platform bill of lading information; Generate and fill in the preset bill of lading template based on the initial bill of lading number information, initial bill of lading date information, and initial bill of lading customer basic information.

5. The intelligent robot bill of lading management method based on advertising effect according to claim 4 is characterized in that: The tracking of the initial optimization process information, recording the initial real-time processing information, and determining the initial optimization quality index based on the initial real-time processing information and the standard source data of the advertising delivery platform specifically include: Based on the initial real-time processing information, obtain the real-time information of the advertising delivery platform type, the real-time data of the advertising delivery performance, the basic real-time information of the customer, the real-time information of the advertising material and the first real-time processing time information, and obtain the real-time source data of the advertising delivery platform; Sliding interception of the real-time source data of the advertising delivery platform is performed using the advertisement delivery data node interception value, the sliding interception unit value and the initial real-time processing time information to obtain the real-time interception source data of the advertisement delivery platform; Based on the advertising delivery platform, source data is intercepted in real time to obtain real-time indicators of advertising delivery effects; According to the real-time indicators of advertising delivery effects, a bar chart of real-time indicators of advertising delivery effects is constructed; Using the real-time indicator bar chart of advertising delivery effect, construct a real-time indicator cylinder of advertising delivery effect; Based on the advertising key indicator range matrix, , obtain the threshold of key comprehensive indicators for advertising delivery, where: It is the threshold value of the key comprehensive indicator of advertising. For the advertising key indicator range matrix The first value in the range, For the advertising key indicator range matrix The second value in the range, The total number of ranges in the key metric range matrix for the ad delivery; Based on the real-time indicators of advertising delivery effects, the intercepted values ​​of advertising delivery data nodes and the real-time indicator cylinders of advertising delivery effects, , obtain the real-time comprehensive indicators of advertising delivery effects corresponding to the real-time source data of the advertising delivery platform, among which, is the circumference of a circle, Intercept the value of the advertisement delivery data node. For the Each advertising platform captures the real-time indicators of advertising effects corresponding to the source data in real time. The total number of source data intercepted in real time by the advertising delivery platform; If the real-time comprehensive index of advertising delivery effect corresponding to the real-time source data of the advertising delivery platform is greater than or equal to the threshold of the key comprehensive index of advertising delivery, the real-time comprehensive index of advertising delivery effect will be used as the initial optimization quality index; otherwise, the initial optimization quality index will be half of the real-time comprehensive index of advertising delivery effect.

6. The intelligent robot bill of lading management method based on advertising effect according to claim 5 is characterized by: If there are new customers who need to place advertisements and optimize advertisements, the bill of lading generation process also includes: Obtain information on new customers' bill of lading requirements and the impact of new customers' bill of lading; Generate and fill in a preset new bill of lading template based on new customer bill of lading demand information, new customer bill of lading impact information and advertising platform standard source data; Distribute the preset new bill of lading template to the corresponding advertising delivery optimization platform, and deliver and optimize the corresponding advertising delivery strategy.

7. An intelligent robot bill of lading management system based on the effect of advertising, used to implement the management method according to any one of claims 1 to 6, characterized in that: include: A data collection module, wherein the data collection module is used to collect source data of the advertising delivery platform and perform data preprocessing on the source data of the advertising delivery platform to obtain standard source data of the advertising delivery platform; A data management module, wherein the data management module is used to organize and store the standard source data of the advertising delivery platform according to a preset data architecture to obtain a big data storage database, and to determine whether a bill of lading generation process is required based on an advertising delivery effect index and a dynamic threshold value of the advertising delivery effect index, and to determine whether a secondary optimization is required for the advertising delivery strategy corresponding to the preset bill of lading template of the initial optimization based on the initial optimization quality index; The effect indicator calculation and threshold setting module is used to extract the standard source data of the advertising delivery platform in sequence based on the big data storage database, and determine the advertising delivery effect indicator corresponding to the standard source data of the advertising delivery platform, and obtain the advertising delivery effect indicator dynamic threshold corresponding to the advertising delivery effect indicator according to the standard source data of the advertising delivery platform; The bill of lading tracking module is used to distribute the preset bill of lading template to the corresponding advertising delivery optimization platform, obtain and initially optimize the advertising delivery strategy corresponding to the preset bill of lading template, and at the same time obtain the initial optimization process information, which is used to track the initial optimization process information and record the initial real-time processing information.

8. The intelligent robot bill of lading management system based on the advertising effect according to claim 7 is characterized in that: The data management module comprises: A data storage unit, the data storage unit is used to organize and store the standard source data of the advertising delivery platform according to a preset data architecture to obtain a big data storage database; The data judgment unit is used to judge whether it is necessary to perform a bill of lading generation process based on an advertising delivery effect index and a dynamic threshold of the advertising delivery effect index, and to judge whether it is necessary to perform secondary optimization on the advertising delivery strategy corresponding to the initially optimized preset bill of lading template based on an initial optimization quality index.

9. The intelligent robot bill of lading management system based on advertising effect according to claim 7 is characterized in that: The effect index calculation and threshold setting module includes: An effect indicator calculation unit, the effect indicator calculation unit is used to extract the standard source data of the advertising delivery platform in sequence based on the big data storage database, and determine the advertising delivery effect indicator corresponding to the standard source data of the advertising delivery platform; A threshold setting unit, wherein the threshold setting unit is used to obtain a dynamic threshold value of an advertising delivery effect indicator corresponding to the advertising delivery effect indicator according to standard source data of the advertising delivery platform.

10. The intelligent robot bill of lading management system based on advertising effect according to claim 7 is characterized in that: The bill of lading tracking module includes: An advertisement delivery optimization unit, the advertisement delivery optimization unit being used to distribute the preset bill of lading template to the corresponding advertisement delivery optimization platform, obtain and initially optimize the advertisement delivery strategy corresponding to the preset bill of lading template, and simultaneously obtain initial optimization process information; A tracking unit is used to track the initial optimization process information and record the initial real-time processing information.

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