Intelligent advertisement automatic putting management method, equipment and medium
Through intelligent advertising automation management methods, real -time monitoring and automatic adjustment of advertising data solves the problem of low efficiency and cost of existing advertising management systems, and achieved more efficient advertising and significant ROI improvements.
Patent Information
- Application Number
- CN202411534472.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-31
- Publication Date
- 2025-01-24
AI Technical Summary
The existing advertising management system relies on manual monitoring and adjustment, resulting in low management efficiency, high cost and difficulty in dealing with rapid changes in the market environment.
Through intelligent advertising automation management methods, real -time monitoring media data and user data, defining the life cycle and status of advertising, automatic adjustment of advertising plans and bidding, and automating the automated intervention of inefficient management strategies and planning growth strategies.
Optimize advertising, increase conversion rate and ROI, reduce manual intervention dependence, reduce operating costs, and significantly improve the efficiency and effect of advertising.
Smart Images
Figure CN119359377A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of advertising management, and in particular to a method, device and medium for intelligent advertising automated delivery management. Background Art
[0002] With the rapid development of digital marketing, the cost of acquiring customers through advertising is getting higher and higher. Advertisers need to manage advertising budgets more efficiently and improve the conversion rate of advertising. Existing advertising management systems often rely on the experience of optimizers for manual monitoring and adjustment. There are many advertisements, low management efficiency and high management costs, and it is difficult to cope with the rapid changes in the market environment. Therefore, it is necessary to develop a method for intelligent advertising automation management. Summary of the invention
[0003] In view of this, the purpose of the present invention is to propose a method for intelligent advertising automated delivery management, which can optimize advertising delivery and intelligently manage advertising delivery through automated intervention in two directions: inefficient management strategy and planned growth strategy, so as to improve the conversion rate and ROI of advertising delivery.
[0004] In order to achieve the above technical objectives, the technical solution adopted by the present invention is: The present invention provides a method for intelligent advertising automatic delivery management, comprising the following steps: Step 1: Obtain media data and user data corresponding to each delivered advertisement and perform real-time monitoring; Step 2: Define the life cycle of the advertisement and the states of different life cycles, and formulate corresponding adjustment actions according to the life cycle and states of the advertisement; Step 3: Determine the current life cycle and status of the advertisement based on the monitored media data and user data, and perform corresponding adjustment actions; identify inefficient advertising plans through the current life cycle and status of the advertisement, and automatically shut down these advertising plans, thereby building a set of inefficiency management strategies; Step 4: According to the target of each advertisement, the converted user data increments are transmitted back to different media terminals, and different media continue to deliver advertisements to target users based on the user data; Step 5: Adjust the bid of the advertisement according to the needs of the advertisement in different life cycles and states; through incremental user data transmission and advertisement bid adjustment, the needs of the advertisement plan at different life cycle stages are met, thus building a set of planned growth strategies; Step 6: When the indicators of the media data are detected to be abnormal, an early warning message is generated and pushed to the operator in real time; Step 7: The operator performs corresponding operations based on the warning information.
[0005] Furthermore, the step 1 specifically includes: Step 11: Obtain media data corresponding to each advertisement from all media terminals where each advertisement has been delivered, wherein the media data includes click data, advertisement consumption, conversion number, advertiser account balance, advertiser account daily budget, and advertiser account current consumption; Step 12: Obtain user data corresponding to each advertisement from the backend server, including user account and user payment behavior information; Step 13: Use a real-time stream processing framework or an offline processing framework to monitor the collected media data and user data in real time.
[0006] Furthermore, the step 2 specifically includes: Step 21: Define the three life cycles of advertising: learning, maturity, and decline; among them: The learning period is defined as a set period of time starting from the moment the ad is first served; The definition of the maturity stage is that the maturity stage begins when the cumulative number of conversions during the learning period reaches the conversion number target; The definition of the decline period is that the decline period begins when the number of conversions decreases for many consecutive days during the maturity period; Step 22: Define different life cycle states: (1) The status of the learning period includes successful learning period, mid-learning period and failed learning period; wherein: The definition of success in the learning period is to successfully accumulate conversions to reach the conversion target at any time during the learning period; The definition of the learning period is that the number of conversions is still being accumulated during the learning period, but the conversion number target has not yet been reached; The definition of learning period failure is that at the end of the learning period, the number of conversions does not reach the conversion number target and the ROI of the advertisement is lower than the market, where the market refers to the user recharge brought by all advertisements / advertising consumption of all advertisements; (2) The states of the maturity stage include extremely inefficient, slightly inefficient, idle, over-cost and stable; among which: The definition of the extremely inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, where the conversion cost is the advertising consumption expected to convert one user, m and n are positive integers and n>m, and the values of m and n are determined according to the specific circumstances of the advertisement, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is < the market; The definition of the slightly inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is ≥ the market; The definition of the "waste" category is that the advertisement consumption of the advertisement on the day has accumulated a conversion costs and the actual conversion number is 0. The value range of a is set according to the advertisement situation. The definition of the over-cost category is that the advertising consumption of the advertisement accumulates to a conversion cost on the day and the advertising consumption / actual conversion number>2*advertising consumption / a; The definition of the stable class is other conditions except the extremely inefficient class, slightly inefficient class, idle waste class and over-cost class; (3) The states of the decline period include extremely inefficient, slightly inefficient, idle, over-cost and stable; among which: The definition of the extremely inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, where the conversion cost is the advertising consumption expected to convert one user, m and n are positive integers and n>m, and the values of m and n are determined according to the specific circumstances of the advertisement, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is < the market; The definition of the slightly inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is ≥ the market; The definition of the "waste" category is that the advertisement consumption of the advertisement on the day has accumulated a conversion costs and the actual conversion number is 0. The value range of a is set according to the advertisement situation. The definition of the over-cost category is that the advertising consumption of the advertisement accumulates to a conversion cost on the day and the advertising consumption / actual conversion number>2*advertising consumption / a; The definition of the stable category is other than the extremely inefficient category, slightly inefficient category, idle waste category and over-cost category; Step 23: Formulate control actions: When the state of the life cycle is successful in the learning phase, the corresponding control action is set to switch to the mature phase; When the life cycle status is in the learning period, the corresponding control action is set to continue to deliver ads; When the life cycle status is learning period failure, the corresponding control action is set to shut down the advertisement; When the life cycle status is extremely inefficient, the corresponding control action is to shut down the advertisement; When the life cycle status is slightly inefficient, the corresponding control action is to run or pause the ad after a preset period of time. When the life cycle status is empty, the corresponding control action is to shut down the advertisement; When the life cycle status is over-cost, the corresponding control action is to shut down the advertisement; When the life cycle status is stable, the corresponding control action is set to continue to deliver ads.
[0007] Furthermore, the step 3 specifically includes: Step 31: Monitor the conversion number of the advertisement in real time and compare it with the conversion number target; for the learning period: If the number of conversions at a certain moment in the learning period reaches the conversion number target, the learning period is considered successful and the learning period is switched to the mature period for continued monitoring. If it is monitored that the number of conversions is still accumulating during the learning period, but the conversion number target has not been reached, it is determined to be in the learning period and the advertising will continue to be delivered; If it is monitored that at the end of the learning period, the number of conversions has not reached the conversion target and the ROI of the ad is lower than the market, the learning period is considered a failure and the ad will be shut down; Step 32: Calculate ROI based on user recharge brought by the advertisement and advertisement consumption. The calculation formula is ROI = user recharge brought by the advertisement / advertisement consumption. Monitor the ROI and advertisement consumption of the advertisement in real time. For the mature stage: If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is less than the market, then it is judged as extremely inefficient and the advertisement is shut down; If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past days is ≥ the market, then it is judged as slightly inefficient, and the advertisement is placed or suspended after a preset period of time; If the ad consumption for the same day reaches a conversion cost and the actual conversion number is 0, it is judged as a waste and the ad is shut down; If the ad consumption for the same day reaches a conversion cost and the ad consumption / actual conversion number is greater than 2*ad consumption / a, it is judged as over-cost and the ad is shut down; If any situation other than extremely inefficient, slightly inefficient, idle, or over-cost is detected, it will be considered stable and the advertisement will continue to be delivered. Step 33, for the decay period: If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is less than the market, then it is judged as extremely inefficient and the advertisement is shut down; If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past days is ≥ the market, then it is judged as slightly inefficient, and the advertisement is placed or suspended after a preset period of time; If the ad consumption for the same day reaches a conversion cost and the actual conversion number is 0, it is judged as a waste and the ad is shut down; If the ad consumption for the same day reaches a conversion cost and the ad consumption / actual conversion number is greater than 2*ad consumption / a, it is judged as over-cost and the ad is shut down; If any situation other than extremely inefficient, slightly inefficient, idle, and over-cost is detected, it will be judged as stable and advertising will continue to be delivered.
[0008] Furthermore, the step 4 specifically includes: Step 41: According to the target of each advertisement, the click data of the advertisement on different media terminals on the same day are monitored in real time, wherein the click data includes the media terminal and the click device number used for the click behavior; Step 42: Check the click device number corresponding to the click behavior from the early morning of the current day to the current time every hour according to the click data; Step 43: When the user corresponding to the click device number registers a user account and pays, the target media end used by the user to click the advertisement is determined according to the click data; Step 44: Send the user account and user payment behavior information to the target media end; Step 45: The target media determines the target user based on the user account and the user payment behavior information, and continues to deliver advertisements to the target user.
[0009] Furthermore, the step 5 specifically includes: Step 51: Determine the current advertisement's life cycle based on the definitions of the three life cycles of an advertisement; Step 52: If the advertisement is in the learning period, adjust the advertisement's bid by x1% relative to the initial value. The value is set according to the advertising situation; and the status of the learning period is determined every hour: When the learning period status is learning period failure, stop incremental feedback and adjust the ad bid to the initial value; When the unit price of the ad is greater than the preset multiple of the current bid of the ad and the number of conversions is greater than the preset number of conversions, stop the incremental feedback and adjust the bid of the ad to the initial value; When the status of the learning period is successful, it will be transferred to the mature stage for judgment; Step 53: If it is in the mature stage, adjust the bid of the advertisement to decrease by x1% relative to the initial value; and monitor the ROI in the mature stage every day: Case 1: When the ROI within d1 is lower than x2% of the average of the market during the same period, or the ROI within d2 is lower than x3% of the average of the market during the same period, stop incremental feedback and adjust the ad bid to the initial value; the values of d1, d2, x2 and x3 are set according to the advertising situation; Case 2: When the ROI within d1 is higher than the average of the market during the same period by x4%, or the ROI within d2 is higher than the average of the market during the same period by x2%, if the current bid is the initial value, the bid of the ad is adjusted to decrease by x1% relative to the initial value; if the current bid is x1% lower than the initial value, the current bid is maintained; the value of x4 is set according to the advertising situation; Case 3: When entering the recession period, the judgment is made in the recession period; Case 4: When other situations occur except for Case 1, Case 2 and Case 3, maintain the current bid; Step 54: If it is in a recession period, when the ROI within d1 days is higher than the average of the market during the same period, adjust the bid of the advertisement to decrease by x1% relative to the initial value; and monitor the ROI during the recession period every day: Case 5: When the ROI within d1 is lower than x2% of the average of the market during the same period, or the ROI within d2 is lower than x3% of the average of the market during the same period, stop incremental feedback and adjust the ad bid to the initial value; Case 6: When the ROI within d1 is higher than the average of the market during the same period by x4%, or the ROI within d2 is higher than the average of the market during the same period by x2%, if the current bid is the initial value, adjust the bid of the ad to decrease by x1% relative to the initial value; if the current bid is x1% lower than the initial value, maintain the current bid; Case 7: When other cases except Case 5 and Case 6 occur, the current bid is maintained.
[0010] Furthermore, the step 6 specifically includes: Step 61: Determine the conversion cost according to the advertising consumption and the number of conversions, and the calculation formula is: conversion cost = advertising consumption / number of conversions. When it is monitored that the conversion cost exceeds the cost threshold, generate an over-cost warning message and push it to the operator; Step 62: When it is detected that the balance of the advertiser's account is lower than the preset minimum amount, an insufficient account balance warning message is generated and pushed to the operator; Step 63: When it is monitored that the current consumption of the account exceeds the daily budget of the account, an over-budget warning message is generated and pushed to the operation personnel.
[0011] Furthermore, after step 7, the following steps are further included: Step 8: Display and analyze the monitored media data and user data in real time through the dashboard.
[0012] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for automatic intelligent advertising delivery management as described above is implemented.
[0013] The present invention also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the method for automatic intelligent advertising delivery management as described above is implemented.
[0014] By adopting the above technical solution, the present invention has the following beneficial effects compared with the prior art: Through automated intervention in the two directions of inefficient management strategy and planned growth strategy, advertising can be optimized and intelligently managed to improve the conversion rate and ROI of advertising. The present invention can realize the automation of advertising, thereby reducing the dependence on manual intervention in the whole process and reducing labor costs. Optimizers can focus on material delivery, and the amount of operations required under the same operation is reduced; after the intelligent advertising delivery system is launched, the advertising delivery ROI1 and ROI7 are significantly improved, and the average consumption and learning period pass rate are improved. BRIEF DESCRIPTION OF THE DRAWINGS
[0015] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0016] Figure 1 It is an execution flow chart of a method for intelligent advertising automatic delivery management provided by an embodiment of the present invention.
[0017] Figure 2 It is a framework diagram of an intelligent advertising automation delivery management system provided by an embodiment of the present invention.
[0018] Figure 3It is a schematic diagram of an electronic device provided by an embodiment of the present invention.
[0019] Figure 4 It is a schematic diagram of a computer-readable storage medium provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0020] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples. It is particularly noted that the following examples are only used to illustrate the present invention, but are not intended to limit the scope of the present invention. Similarly, the following examples are only partial embodiments of the present invention rather than all embodiments, and all other embodiments obtained by those of ordinary skill in the art without creative work are within the scope of protection of the present invention.
[0021] See also Figure 1 and Figure 2 A method for intelligent advertising automatic delivery management of the present invention comprises the following steps: Step 1: Obtain media data and user data corresponding to each delivered advertisement and perform real-time monitoring; In this embodiment, the step 1 specifically includes: Step 11: Obtain media data corresponding to each advertisement from all media terminals where each advertisement has been delivered, wherein the media data includes click data, advertisement consumption, conversion number, advertiser account balance, advertiser account daily budget, and advertiser account current consumption; Step 12: Obtain user data corresponding to each advertisement from the backend server, including user account and user payment behavior information; the user account is associated one by one with the advertisement clicked last before the user account was registered; when analyzing a certain advertisement, the user data corresponding to the advertisement can be found and collected based on the user account Step 13: Use a real-time stream processing framework or an offline processing framework to monitor the collected media data and user data in real time. Use a real-time stream processing framework or an offline processing framework and data mining technology to monitor and analyze advertisements in real time.
[0022] Step 2: Define the life cycle of an ad and the states of different life cycles, and formulate corresponding adjustment actions based on the life cycle and states of the ad. This is done to better manage the ad in different life cycle states. In this embodiment, step 2 specifically includes: Step 21: Define the three life cycles of advertising: learning, maturity, and decline; among them: The learning period is defined as a set period of time starting from the moment the ad is first released; for example, the 4 days from the moment the ad is first released (the first release day is recorded as Day 1, including the release day), for example, if the first release is at 10:00 on 10 / 1, 10 / 1-10 / 4 23:59:59 is recorded as the cold start period, that is, the learning period; The definition of the maturity stage is that the maturity stage begins when the cumulative number of conversions during the learning period reaches the conversion number target; The definition of the decline period is that the decline period begins when the number of conversions decreases for many consecutive days during the maturity period; Step 22: Define different life cycle states: (1) The status of the learning period includes successful learning period, mid-learning period and failed learning period; wherein: The definition of success in the learning period is to successfully accumulate conversions at any time during the learning period and reach the conversion target; for example, if 20 conversions are successfully accumulated within 4 days from the moment the ad is first released, for example, if the ad is first released at 10:00 on 10 / 1 and 20 conversions are reached at any time between 10 / 1 and 10 / 4 23:59:59, it means that the learning period is successful and has entered the maturity stage; The definition of "in the learning period" is that the conversion number is still accumulated during the learning period, but the conversion number target has not been reached; for example: between 10 / 1-10 / 4 23:59:59, before 10 / 4 23:59:59, the conversion number accumulation has not reached 20 conversion numbers; The definition of learning period failure is that at the end of the learning period, the number of conversions does not reach the conversion number target and the ROI of the ad is lower than the market, where the market refers to the user recharge brought by all ads / ad consumption of all ads; for example: from the moment the ad was first released on 10 / 1 10:00, the number of conversions does not exceed 20 in 4 days, that is, at 10 / 4 23:59:59, and the current ad ROI is lower than the market; (2) The states of the maturity stage include extremely inefficient, slightly inefficient, idle, over-cost and stable; among which: The definition of the extremely inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, where the conversion cost is the advertising consumption expected to convert one user, m and n are positive integers and n>m, and the values of m and n are determined according to the specific circumstances of the advertisement, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past days is less than the market; for example: the cumulative advertising consumption on the day is greater than 2 conversion costs, and the historical cumulative advertising consumption is greater than 20 conversion costs, the cumulative real-time ROI on the day is ≤ the market, and the ROI in the past two days is less than the market; The definition of the slightly inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past days is ≥ the market; for example: the cumulative advertising consumption on the day is greater than 2 conversion costs, and the historical cumulative advertising consumption is greater than 20 conversion costs, the cumulative real-time ROI on the day is ≤ the market, and the ROI in the past two days is ≥ the market; The definition of the "waste" category is that the advertisement consumption of the advertisement accumulates to a conversion costs on the day and the actual conversion number is 0. The value range of a is set according to the advertisement situation. For example: the advertisement consumption of 5-10 conversion costs is accumulated on the day, and there is no conversion number. The definition of the over-cost category is that the advertising consumption of the advertisement on the day accumulates to a conversion costs and the advertising consumption / actual conversion number>2*advertising consumption / a; for example: the cumulative advertising consumption on the day is 500 yuan (the normal conversion cost is 100 yuan, then 500 yuan is the advertising consumption of 5 conversion costs, that is, a=5), but the number of conversions is only 2 (that is, the actual number of conversions is 2), the actual conversion cost of this advertisement today = advertising consumption / actual number of conversions = 500 / 2=250, then 250=2.5*100, which satisfies the condition that advertising consumption / actual number of conversions>2*advertising consumption / a; The definition of the stable class is other conditions except the extremely inefficient class, slightly inefficient class, idle waste class and over-cost class; (3) The states of the decline period include extremely inefficient, slightly inefficient, idle, over-cost and stable; among which: The definition of the extremely inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, where the conversion cost is the advertising consumption expected to convert one user, m and n are positive integers and n>m, and the values of m and n are determined according to the specific circumstances of the advertisement, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is < the market; The definition of the slightly inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is ≥ the market; The definition of the "waste" category is that the advertisement consumption of the advertisement has accumulated a conversion costs on the day and the actual conversion number is 0. The value range of a is set according to the advertisement situation. The definition of the over-cost category is that the advertising consumption of the advertisement accumulates to a conversion cost on the day and the advertising consumption / actual conversion number>2*advertising consumption / a; The definition of the stable category is other than the extremely inefficient category, slightly inefficient category, idle waste category and over-cost category; Step 23: Formulate control actions: When the state of the life cycle is successful in the learning phase, the corresponding control action is set to switch to the mature phase; When the life cycle status is in the learning period, the corresponding control action is set to continue to deliver ads; When the life cycle status is learning period failure, the corresponding control action is set to shut down the advertisement; When the life cycle status is extremely inefficient, the corresponding control action is to shut down the advertisement; When the life cycle status is slightly inefficient, the corresponding control action is to run or pause the ad after a preset period of time. When the life cycle status is empty, the corresponding control action is to shut down the advertisement; When the life cycle status is over-cost, the corresponding control action is to shut down the advertisement; When the life cycle status is stable, the corresponding control action is set to continue to deliver ads.
[0023] The following table shows: Table 1:
[0024] Step 3: Determine the current life cycle and status of the advertisement based on the monitored media data and user data, and perform corresponding adjustment actions; identify inefficient advertising plans through the current life cycle and status of the advertisement, and automatically shut down these advertising plans, thereby building a set of inefficiency management strategies; the purpose of this is to automatically identify inefficient advertisements and shut them down in a timely manner to reduce advertising costs; Steps 2 and 3 describe the specific technical means of the inefficient management strategy, and shut down low-ROI plans based on the historical ROI performance of the plan and the different life cycles of the plan to maximize the ROI.
[0025] In this embodiment, step 3 specifically includes: Step 31: Monitor the conversion number of the advertisement in real time and compare it with the conversion number target; for the learning period: If the number of conversions at a certain moment in the learning period reaches the conversion number target, the learning period is considered successful and the learning period is switched to the mature period for continued monitoring. If it is monitored that the number of conversions is still accumulating during the learning period, but the conversion number target has not been reached, it is determined to be in the learning period and the advertising will continue to be delivered; If it is monitored that at the end of the learning period, the number of conversions has not reached the conversion target and the ROI of the ad is lower than the market, the learning period is considered a failure and the ad will be shut down; Step 32: Calculate ROI based on user recharge brought by the advertisement and advertisement consumption. The calculation formula is ROI = user recharge brought by the advertisement / advertisement consumption. Monitor the ROI and advertisement consumption of the advertisement in real time. For the mature stage: If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is less than the market, then it is judged as extremely inefficient and the advertisement is shut down; If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past days is ≥ the market, then it is judged as slightly inefficient, and the advertisement is placed or suspended after a preset period of time; If the ad consumption for the same day reaches a conversion cost and the actual conversion number is 0, it is judged as a waste and the ad is shut down; If the ad consumption for the same day reaches a conversion cost and the ad consumption / actual conversion number is greater than 2*ad consumption / a, it is judged as over-cost and the ad is shut down; If any situation other than extremely inefficient, slightly inefficient, idle, or over-cost is detected, it will be considered stable and the advertisement will continue to be delivered. Step 33, for the decay period: If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is less than the market, then it is judged as extremely inefficient and the advertisement is shut down; If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past days is ≥ the market, then it is judged as slightly inefficient, and the advertisement is placed or suspended after a preset period of time; If the ad consumption for the same day reaches a conversion cost and the actual conversion number is 0, it is judged as a waste and the ad is shut down; If the ad consumption for the same day reaches a conversion cost and the ad consumption / actual conversion number is greater than 2*ad consumption / a, it is judged as over-cost and the ad is shut down; If any situation other than extremely inefficient, slightly inefficient, idle, and over-cost is detected, it will be judged as stable and advertising will continue to be delivered.
[0026] Step 4: According to the goal of each advertisement, the converted user data is incrementally transmitted back to different media terminals, and different media continue to deliver advertisements to target users based on the user data. By transmitting the incremental converted user data across media terminals, different media can be assisted to increase the volume of advertisements, increase advertising consumption, and improve ROI. In this embodiment, step 4 specifically includes: Step 41: According to the target of each advertisement, the click data of the advertisement on different media terminals on the same day are monitored in real time, wherein the click data includes the media terminal and the click device number used for the click behavior; Step 42: Check the click device number corresponding to the click behavior from the early morning of the current day to the current time every hour according to the click data; Step 43: When the user corresponding to the click device number registers a user account and pays, the target media end used by the user to click the advertisement is determined according to the click data; Step 44: Send the user account and user payment behavior information to the target media end; Step 45: The target media determines the target user based on the user account and the user payment behavior information, and continues to deliver advertisements to the target user. This ensures that all media that have clicked on the advertisement can obtain user data and continue to deliver advertisements, ensuring high competitiveness and stable delivery.
[0027] Step 5: Adjust the bid of the advertisement according to the needs of the advertisement in different life cycles and states; after the advertisement starts to grow, the cost of each advertisement should be properly controlled to reduce costs and improve efficiency. Through incremental feedback of user data and adjustment of advertising bids, a set of planned growth strategies is constructed to meet the needs of advertising plans at different stages of the life cycle; Steps 4 and 5 describe the specific technical means of the planned growth strategy. According to the goals of each advertising plan, the algorithm automatically adapts the incremental feedback of users to meet the needs of advertising plans at different stages of the life cycle.
[0028] In this embodiment, step 5 specifically includes: Step 51: Determine the current advertisement's life cycle based on the definitions of the three life cycles of an advertisement; Step 52: If the advertisement is in the learning period, adjust the advertisement's bid by x1% relative to the initial value. The value is set according to the advertising situation; for example, the bid of the advertisement is adjusted to decrease by 10% relative to the initial value; and the status of the learning period is determined every hour: When the learning period status is learning period failure, stop incremental feedback and adjust the ad bid to the initial value; When the unit price of the ad is greater than the preset multiple of the current bid of the ad and the number of conversions is greater than the preset number of conversions, for example: the unit price is greater than 1.5 times the current bid of the ad and the number of conversions is greater than 15; stop the incremental feedback and adjust the bid of the ad to the initial value; When the status of the learning period is successful, it will be transferred to the mature stage for judgment; Step 53, if it is in the mature stage (no threshold conditions are set, because the number of conversions exceeds 20, it will enter the mature stage. At this time, it is necessary to continue to run steadily. The learning period strategy is independent of the mature period strategy, that is, the strategy is stopped during the learning period. If the learning period is passed, it will enter the initial judgment of the mature stage), then adjust the bid of the advertisement to decrease by x1% relative to the initial value; for example: adjust the bid of the advertisement to decrease by 10% relative to the initial value; and monitor the ROI in the mature stage every day (judge at dawn every day, according to the data, frequent adjustments of bids / budgets will destroy the steady state of the model. Do not operate more than 2 times a day): Case 1: When the ROI within d1 is lower than x2% of the average of the market during the same period, or the ROI within d2 is lower than x3% of the average of the market during the same period, for example, roi-3 (ROI within 3 days) is lower than 10% (parameter) of the average of the market during the same period, or roi-1 (ROI within 1 day) is lower than 15% (parameter) of the average of the market during the same period, stop incremental feedback and adjust the bid of the advertisement to the initial value; the values of d1, d2, x2 and x3 are set according to the advertisement situation; Case 2: When the ROI within d1 is higher than the average of the market in the same period by x4%, or the ROI within d2 is higher than the average of the market in the same period by x2%, if the current bid is the initial value, the bid of the ad is adjusted to decrease by x1% relative to the initial value; if the current bid is decreased by x1% relative to the initial value, the current bid is maintained; the value of x4 is set according to the advertising situation; for example: roi-3 is higher than the average of the market in the same period by 5% (parameter), or roi-1 is higher than the average of the market in the same period by 10% (parameter), continue the initial strategy (if the previous state is stopped, restart the strategy according to the initial strategy); Case 3: When entering the recession period, the judgment is made in the recession period; Case 4: When other situations occur except for Case 1, Case 2 and Case 3, maintain the current bid; Step 54: If it is in the recession period, when the ROI within d1 days is higher than the average of the market during the same period (ROI-3 is higher than the average of the market during the same period), adjust the bid of the advertisement to decrease by x1% relative to the initial value; for example: adjust the bid of the advertisement to decrease by 10% relative to the initial value; and monitor the ROI during the recession period every day: Case 5: When the ROI within d1 is lower than x2% of the average of the market during the same period, or the ROI within d2 is lower than x3% of the average of the market during the same period, for example, roi-3 (ROI within 3 days) is lower than 10% (parameter) of the average of the market during the same period, or roi-1 (ROI within 1 day) is lower than 15% (parameter) of the average of the market during the same period, stop incremental feedback and adjust the ad bid to the initial value; Case 6: When the ROI within d1 is higher than the average of the market in the same period by x4%, or the ROI within d2 is higher than the average of the market in the same period by x2%, if the current bid is the initial value, adjust the bid of the ad to decrease by x1% relative to the initial value; if the current bid is a decrease of x1% relative to the initial value, maintain the current bid; for example: roi-3 is higher than the average of the market in the same period by 5% (parameter), or roi-1 is higher than the average of the market in the same period by 10% (parameter), continue the initial strategy (if the previous state is stopped, restart the strategy according to the initial strategy); Case 7: When other cases except Case 5 and Case 6 occur, the current bid is maintained.
[0029] Step 6: When the indicators of the media data are monitored to be abnormal, an early warning message is generated and pushed to the operator in real time; this is to ensure the security, stability and availability of smart advertising delivery.
[0030] In this embodiment, step 6 specifically includes: Step 61: Determine the conversion cost according to the advertising consumption and the number of conversions, and the calculation formula is: conversion cost = advertising consumption / number of conversions. When it is monitored that the conversion cost exceeds the cost threshold, generate an over-cost warning message and push it to the operator; Step 62: When it is detected that the balance of the advertiser's account is lower than the preset minimum amount, an insufficient account balance warning message is generated and pushed to the operator; Step 63: When it is monitored that the current consumption of the account exceeds the daily budget of the account, an over-budget warning message is generated and pushed to the operation personnel.
[0031] Monitoring and alarm: Through real-time monitoring technology, potential problems can be accurately captured and warned, including but not limited to: over-cost advertising monitoring (real-time analysis of advertising input-output ratio, and immediate alarm once abnormal cost exceeds the standard), insufficient account balance monitoring (real-time monitoring of account funds, automatic triggering of notifications when the balance is lower than the preset threshold, ensuring that operators can quickly recharge and avoid advertising interruptions), over-budget consumption, immediate reminders when approaching or reaching the budget limit, helping to adjust the delivery strategy or increase the budget). These functions ensure the stability and efficiency of advertising delivery.
[0032] Step 7: The operator performs corresponding operations based on the warning information.
[0033] In this embodiment, after step 7, the following steps are further included: Step 8: Display and analyze the monitored media data and user data in real time through the dashboard.
[0034] Indicator dashboard: As the core display interface for full-link monitoring and decision-making, the indicator dashboard brings together key performance indicators throughout the entire advertising process, such as click data, conversion rate, ROI, etc. Through visual charts and dashboards, the overall performance and trend changes of advertising activities are intuitively displayed, providing management and operation teams with instant and comprehensive data insights. In addition, it supports custom configuration and flexibly adjusts the display content according to business needs to meet the data viewing and analysis needs of different levels and roles.
[0035] like Figure 3 As shown, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for automatic intelligent advertising delivery management when executing the program.
[0036] like Figure 4 As shown, an embodiment of the present invention further provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned method for automatic intelligent advertising delivery management is implemented.
[0037] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0038] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.
[0039] The above descriptions are only some embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any equivalent device or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.
Claims
1. A method for automatic delivery management of intelligent advertisements, characterized in that: The steps include: Step 1: Obtain media data and user data corresponding to each delivered advertisement and perform real-time monitoring; Step 2: Define the life cycle of the advertisement and the states of different life cycles, and formulate corresponding adjustment actions according to the life cycle and states of the advertisement; Step 3: Determine the current life cycle and status of the advertisement based on the monitored media data and user data, and perform corresponding adjustment actions; identify inefficient advertising plans through the current life cycle and status of the advertisement, and automatically shut down these advertising plans, thereby building a set of inefficiency management strategies; Step 4: According to the target of each advertisement, the converted user data increments are transmitted back to different media terminals, and different media continue to deliver advertisements to target users based on the user data; Step 5: Adjust the bid of the advertisement according to the needs of the advertisement in different life cycles and states; through incremental user data transmission and advertisement bid adjustment, the needs of the advertisement plan at different life cycle stages are met, thus building a set of planned growth strategies; Step 6: When the indicators of the media data are detected to be abnormal, an early warning message is generated and pushed to the operator in real time; Step 7: The operator performs corresponding operations based on the warning information.
2. The method for automatic intelligent advertising delivery management according to claim 1, characterized in that: The step 1 specifically includes: Step 11: Obtain media data corresponding to each advertisement from all media terminals where each advertisement has been delivered, wherein the media data includes click data, advertisement consumption, conversion number, advertiser account balance, advertiser account daily budget, and advertiser account current consumption; Step 12: Obtain user data corresponding to each advertisement from the backend server, including user account and user payment behavior information; Step 13: Use a real-time stream processing framework or an offline processing framework to monitor the collected media data and user data in real time.
3. The method for automatic intelligent advertising delivery management according to claim 1, characterized in that: The step 2 specifically includes: Step 21: Define the three life cycles of advertising: learning, maturity, and decline; among them: The learning period is defined as a set period of time starting from the moment the ad is first served; The definition of the maturity stage is that the maturity stage begins when the cumulative number of conversions during the learning period reaches the conversion number target; The definition of the decline period is that the decline period begins when the number of conversions decreases for many consecutive days during the maturity period; Step 22: Define different life cycle states: (1) The status of the learning period includes successful learning period, mid-learning period and failed learning period; wherein: The definition of success in the learning period is to successfully accumulate conversions to reach the conversion target at any time during the learning period; The definition of the learning period is that the number of conversions is still being accumulated during the learning period, but the conversion number target has not yet been reached; The definition of learning period failure is that at the end of the learning period, the number of conversions does not reach the conversion number target and the ROI of the advertisement is lower than the market, where the market refers to the user recharge brought by all advertisements / advertising consumption of all advertisements; (2) The states of the maturity stage include extremely inefficient, slightly inefficient, idle, over-cost and stable; among which: The definition of the extremely inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, where the conversion cost is the advertising consumption expected to convert one user, m and n are positive integers and n>m, and the values of m and n are determined according to the specific circumstances of the advertisement, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is < the market; The definition of the slightly inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is ≥ the market; The definition of the "waste" category is that the advertisement consumption of the advertisement has accumulated a conversion costs on the day and the actual conversion number is 0. The value range of a is set according to the advertisement situation. The definition of the over-cost category is that the advertising consumption of the advertisement accumulates to a conversion cost on the day and the advertising consumption / actual conversion number>2*advertising consumption / a; The definition of the stable class is other conditions except the extremely inefficient class, slightly inefficient class, idle waste class and over-cost class; (3) The states of the decline period include extremely inefficient, slightly inefficient, idle, over-cost and stable; among which: The definition of the extremely inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, where the conversion cost is the advertising consumption expected to convert one user, m and n are positive integers and n>m, and the values of m and n are determined according to the specific circumstances of the advertisement, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is < the market; The definition of the slightly inefficient category is that the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the historical cumulative advertising consumption of the advertisement is greater than n conversion costs, the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is ≥ the market; The definition of the "waste" category is that the advertisement consumption of the advertisement has accumulated a conversion costs on the day and the actual conversion number is 0. The value range of a is set according to the advertisement situation. The definition of the super cost category is that the advertising consumption of the advertisement accumulates to a conversion cost on the day and the advertising consumption / a>2*advertising consumption / actual conversion number; The definition of the stable category is other than the extremely inefficient category, slightly inefficient category, idle waste category and over-cost category; Step 23: Formulate control actions: When the state of the life cycle is successful in the learning phase, the corresponding control action is set to switch to the mature phase; When the life cycle status is in the learning period, the corresponding control action is set to continue to deliver ads; When the life cycle status is learning period failure, the corresponding control action is set to shut down the advertisement; When the life cycle status is extremely inefficient, the corresponding control action is to shut down the advertisement; When the life cycle status is slightly inefficient, the corresponding control action is to run or pause the ad after a preset period of time. When the life cycle status is empty, the corresponding control action is to shut down the advertisement; When the life cycle status is over-cost, the corresponding control action is to shut down the advertisement; When the life cycle status is stable, the corresponding control action is set to continue to deliver ads.
4. The method for automatic intelligent advertising delivery management according to claim 2, characterized in that: The step 3 specifically includes: Step 31: Monitor the conversion number of the advertisement in real time and compare it with the conversion number target; for the learning period: If the number of conversions at a certain moment in the learning period reaches the conversion target, the learning period is considered successful and the learning period is switched to the mature period for continued monitoring. If it is monitored that the number of conversions is still accumulating during the learning period, but the conversion number target has not been reached, it is determined to be in the learning period and the advertising will continue to be delivered; If it is monitored that at the end of the learning period, the number of conversions has not reached the conversion target and the ROI of the ad is lower than the market, the learning period is considered a failure and the ad will be shut down; Step 32: Calculate ROI based on user recharge brought by the advertisement and advertisement consumption. The calculation formula is ROI = user recharge brought by the advertisement / advertisement consumption. Monitor the ROI and advertisement consumption of the advertisement in real time. For the mature stage: If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is less than the market, then it is judged as extremely inefficient and the advertisement is shut down; If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past days is ≥ the market, then it is judged as slightly inefficient, and the advertisement is placed or suspended after a preset period of time; If the ad consumption for the same day reaches a conversion cost and the actual conversion number is 0, it is judged as a waste and the ad is shut down; If the ad consumption for the same day reaches a conversion cost and the ad consumption / actual conversion number is greater than 2*ad consumption / a, it is judged as over-cost and the ad is shut down; If any situation other than extremely inefficient, slightly inefficient, idle, or over-cost is detected, it will be considered stable and the advertisement will continue to be delivered. Step 33, for the decay period: If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past few days is less than the market, then it is judged as extremely inefficient and the advertisement is shut down; If the cumulative advertising consumption of the advertisement on the day is greater than m conversion costs, and the cumulative advertising consumption of the advertisement in history is greater than n conversion costs, and the cumulative ROI of the advertisement on the day is ≤ the market, and the ROI of the advertisement in the past days is ≥ the market, then it is judged as slightly inefficient, and the advertisement is placed or suspended after a preset period of time; If the ad consumption for the same day reaches a conversion cost and the actual conversion number is 0, it is judged as a waste and the ad is shut down; If the ad consumption for the same day reaches a conversion cost and the ad consumption / actual conversion number is greater than 2*ad consumption / a, it is judged as over-cost and the ad is shut down; If any situation other than extremely inefficient, slightly inefficient, idle, and over-cost is detected, it will be judged as stable and advertising will continue to be delivered.
5. The method for automatic intelligent advertising delivery management according to claim 1, characterized in that: The step 4 specifically includes: Step 41: According to the target of each advertisement, the click data of the advertisement on different media terminals on the same day are monitored in real time, wherein the click data includes the media terminal and the click device number used for the click behavior; Step 42: Check the click device number corresponding to the click behavior from the early morning of the current day to the current time every hour according to the click data; Step 43: When the user corresponding to the click device number registers a user account and pays, the target media end used by the user to click the advertisement is determined according to the click data; Step 44: Send the user account and user payment behavior information to the target media end; Step 45: The target media determines the target user based on the user account and the user payment behavior information, and continues to deliver advertisements to the target user.
6. The method for automatic intelligent advertising delivery management according to claim 1, characterized in that: The step 5 specifically includes: Step 51: Determine the current advertisement's life cycle based on the definitions of the three life cycles of an advertisement; Step 52: If the advertisement is in the learning period, adjust the advertisement's bid by x1% relative to the initial value. The value is set according to the advertising situation; and the status of the learning period is determined every hour: When the learning period status is learning period failure, stop incremental feedback and adjust the ad bid to the initial value; When the unit price of the ad is greater than the preset multiple of the current bid of the ad and the number of conversions is greater than the preset number of conversions, stop the incremental feedback and adjust the bid of the ad to the initial value; When the status of the learning period is successful, it will be transferred to the mature stage for judgment; Step 53: If it is in the mature stage, adjust the bid of the advertisement to decrease by x1% relative to the initial value; and monitor the ROI in the mature stage every day: Case 1: When the ROI within d1 is lower than x2% of the average of the market during the same period, or the ROI within d2 is lower than x3% of the average of the market during the same period, stop incremental feedback and adjust the ad bid to the initial value; the values of d1, d2, x2 and x3 are set according to the advertising situation; Case 2: When the ROI within d1 is higher than the average of the market during the same period by x4%, or the ROI within d2 is higher than the average of the market during the same period by x2%, if the current bid is the initial value, the bid of the ad is adjusted to decrease by x1% relative to the initial value; if the current bid is x1% lower than the initial value, the current bid is maintained; the value of x4 is set according to the advertising situation; Case 3: When entering the recession period, the judgment is made in the recession period; Case 4: When other situations occur except for Case 1, Case 2 and Case 3, maintain the current bid; Step 54: If it is in a recession period, when the ROI within d1 days is higher than the average of the market during the same period, adjust the bid of the advertisement to decrease by x1% relative to the initial value; and monitor the ROI during the recession period every day: Case 5: When the ROI within d1 is lower than x2% of the average of the market during the same period, or the ROI within d2 is lower than x3% of the average of the market during the same period, stop incremental feedback and adjust the ad bid to the initial value; Case 6: When the ROI within d1 is higher than the average of the market during the same period by x4%, or the ROI within d2 is higher than the average of the market during the same period by x2%, if the current bid is the initial value, adjust the bid of the ad to decrease by x1% relative to the initial value; if the current bid is x1% lower than the initial value, maintain the current bid; Case 7: When other cases except Case 5 and Case 6 occur, the current bid is maintained.
7. The method for automatic intelligent advertising delivery management according to claim 1, characterized in that: The step 6 specifically includes: Step 61: Determine the conversion cost according to the advertising consumption and the number of conversions, and the calculation formula is: conversion cost = advertising consumption / number of conversions. When it is monitored that the conversion cost exceeds the cost threshold, generate an over-cost warning message and push it to the operator; Step 62: When it is detected that the balance of the advertiser's account is lower than the preset minimum amount, an insufficient account balance warning message is generated and pushed to the operator; Step 63: When it is monitored that the current consumption of the account exceeds the daily budget of the account, an over-budget warning message is generated and pushed to the operation personnel.
8. The method for automatic intelligent advertising delivery management according to claim 1, characterized in that: After step 7, the following steps are also included: Step 8: Display and analyze the monitored media data and user data in real time through the dashboard.
9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the method for intelligent advertising automatic delivery management as described in any one of claims 1 to 8 is implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, a method for intelligent advertising automatic delivery management is implemented as described in any one of claims 1 to 8.