Advertisement conversion event reporting decision-making method, terminal equipment and storage medium
By using tiered gross margin rules and real-time data monitoring, and dynamically reporting conversion events, the problem of inaccurate advertising strategies caused by blind reporting is solved, thus maximizing advertising revenue.
Patent Information
- Application Number
- CN202511709797.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-20
- Publication Date
- 2026-03-13
AI Technical Summary
In existing technologies, blindly reporting all conversion events leads to inaccurate optimization of advertising strategies, which may result in losses and fail to effectively guide the maximization of advertising revenue.
A tiered gross profit margin rule is adopted, and the cumulative reported data is monitored in real time. The theoretical average commission is calculated based on the current number of reported orders and the gross profit margin rule. It is then determined whether the actual average commission is greater than the theoretical average commission, and whether to report the conversion event.
By using dynamic decision-making methods, advertising strategies can be optimized to maximize advertising revenue.
Smart Images
Figure CN121665043A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of communications, and in particular relates to a method for reporting and making decisions on advertising conversion events, a terminal device, and a storage medium. Background Technology
[0002] In the field of internet advertising, it is crucial for advertisers to report user conversion events (such as placing orders and registering) back to media platforms. Media platforms optimize their advertising strategies based on the reported conversion data, which directly affects the exposure of advertisements: advertisements with good conversion results usually receive more exposure, while those with poor conversion results receive less.
[0003] Current technology typically uploads all conversion events. However, since the revenue from some conversions (such as product commissions) may be lower than their acquisition cost (advertising expenses), blindly reporting all conversion events cannot accurately guide the optimization of advertising strategies and may lead to losses. Summary of the Invention
[0004] In view of this, embodiments of this application provide an advertising conversion event reporting and decision-making method, which can solve the above-mentioned technical problems.
[0005] A first aspect of this application provides an advertising conversion event reporting decision method, the advertising conversion event reporting decision method comprising: Obtain a tiered gross margin rule; Real-time monitoring of cumulative reported data, which includes the number of reported orders and cumulative commissions; Whenever a new user conversion event occurs, the theoretical average commission required to maintain profitability under the current number of reported orders is determined based on the current number of reported orders and the configured gross profit margin rules. The actual average commission is determined based on the cumulative commission. Determine whether the actual average commission is greater than the theoretical average commission. If so, report the user conversion event; otherwise, do not report the user conversion event.
[0006] A second aspect of this application provides a terminal device, including a memory and a processor. The memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the advertising conversion event reporting decision method.
[0007] A third aspect of this application provides a terminal-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the steps of the advertising conversion event reporting decision method.
[0008] The beneficial effects of this application embodiment compared with the prior art are as follows: The method provided by the present invention includes obtaining a tiered gross profit margin rule; real-time monitoring of cumulative reported data, wherein the cumulative reported data includes the number of reported orders and cumulative commission; whenever a new user conversion event is generated, determining the theoretical average commission required to maintain profitability under the current number of reported orders based on the current number of reported orders and the configured gross profit margin rule; determining the actual average commission based on the cumulative commission; determining whether the actual average commission is greater than the theoretical average commission; if so, reporting the user conversion event; otherwise, not reporting the user conversion event; In this application, whenever a new user conversion event is generated, the theoretical average commission required to maintain profitability can be determined based on the real-time number of reported orders and the configured gross profit margin rule, thereby deriving the actual average commission. After comprehensively weighing the size of the actual average commission and the theoretical average commission, a decision is made to report the conversion event, which guides subsequent advertising strategies and maximizes advertising revenue. Attached Figure Description
[0009] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0010] Figure 1 This is a schematic diagram illustrating the implementation process of the advertising conversion event reporting and decision-making method provided in the embodiments of this application; Figure 2 This is a schematic diagram of the implementation environment of the advertising conversion event reporting and decision-making method provided in the embodiments of this application; Figure 3 This is a schematic diagram of the terminal device provided in the embodiments of this application. Detailed Implementation
[0011] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.
[0012] To illustrate the technical solution described in this application, specific embodiments are provided below.
[0013] Figure 1 This application illustrates an advertising conversion event reporting decision method provided in Embodiment 1. The advertising conversion event reporting decision method includes: Obtain a tiered gross margin rule; Real-time monitoring of cumulative reported data, which includes the number of reported orders and cumulative commissions; Whenever a new user conversion event occurs, the theoretical average commission required to maintain profitability under the current number of reported orders is determined based on the current number of reported orders and the configured gross profit margin rules. The actual average commission is determined based on the cumulative commission. Determine whether the actual average commission is greater than the theoretical average commission. If so, report the user conversion event; otherwise, do not report the user conversion event.
[0014] In this embodiment, as Figure 2 As shown, this method is executed in a terminal device, which can be an independent physical server or terminal, or a server cluster consisting of multiple physical servers. It can also be a cloud server providing basic cloud computing services such as cloud servers, cloud databases, cloud storage, and CDN. The terminal device communicates with various user terminals (which can be smartphones, tablets, laptops, desktop computers, smartwatches, etc., but are not limited to these). When a user generates a conversion event on any advertising page through a user terminal, the terminal device can identify the occurrence of the conversion event through that user terminal and then execute subsequent steps. The terminal device communicates with the media platform; when the terminal device determines that any conversion event needs to be reported, it can directly report the conversion event. In this embodiment, the tiered gross profit margin rules are preset by staff; the terminal device has a business interface that allows users to define tiered gross profit margin target rules for specific advertising pages (ogpid); and to define commission information for products. This module is the preset foundation for the system to achieve dynamic decision-making, enabling the system to set differentiated profit targets based on the lifecycle of the advertising page (ogpid) (marked by the cumulative number of reported orders), which is a prerequisite for dynamic threshold calculation. In this embodiment, obtaining the tiered gross profit margin rules involves receiving and storing the user-inputted gross profit margin rule configuration data. The data structure includes at least: the advertising page ogpid (ogpid is the code for the advertising page), the starting order number for the tier, the ending order number for the tier, and the target gross profit margin for that tier; for example, if ogpid=A, the gross profit margin for orders 1-3 is -50%; for orders 4-10, it is 3%; for orders 11-30, it is 5%; and for orders N+1 and above, it is X%. The tier is continuous, covering the range of all order numbers starting from order 1.
[0015] In this embodiment, whenever a new user conversion event occurs, the theoretical average commission required to maintain profitability can be determined based on the real-time reported number of orders and the configured gross profit margin rules, and then the actual average commission can be derived. After comprehensively weighing the actual average commission and the theoretical average commission, a decision is made to report the conversion event. Based on this, subsequent advertising strategies can be guided to maximize advertising revenue.
[0016] As a preferred embodiment, the tiered gross margin rule includes: Several reporting order number tiers, where each reporting order number tier includes the corresponding starting order number and ending order number; Gross profit margin corresponding to each reported odd-number tier range.
[0017] For each advertising page, a counter associated with the number of reported orders and a floating-point number associated with the cumulative commission are set up; Real-time monitoring and cumulative reported data include: Whenever a conversion event that needs to be reported is determined, the corresponding advertising page and commission for that conversion event are identified. Retrieve the counter on the ad page and increment the counter value by 1; Retrieve the floating-point number from the ad page and add the value of the floating-point number to the commission corresponding to the conversion event.
[0018] In this embodiment, the terminal device is equipped with a real-time data storage module, which can independently maintain and update two key state variables for each ogpid in real time: cumulative reported orders (count_reported) and cumulative commission (sum_commission). This module provides real-time contextual information for decision-making. The two key variables determine which gross profit margin step the current conversion event belongs to, and are the core input parameters for calculating the linear gross profit margin and theoretical threshold. Its real-time nature is the key to realizing dynamic decision-making; for example, a counter {ogpid}: count_reported is maintained in memory or persistent storage for each active ogpid. Whenever it is determined that a conversion event belonging to this ogpid needs to be reported, the value of {ogpid}: count_reported is atomically incremented (+1); a floating-point number {ogpid}: sum_commission is maintained in memory or persistent storage for each active ogpid. Whenever a conversion event is received, the value of {ogpid}: sum_commission is atomically incremented (+ the commission of this conversion current_commission).
[0019] In this embodiment, the following tiered gross profit margin rule can be set for ogpid=428739: Starting number of the stepped interval The staircase interval ends in an odd number. Target gross margin 1 3 -50% 4 10 3% 11 30 5% 31 50 8% This configuration indicates that, to quickly scale up volume, the first 3 orders are allowed to incur a loss (-50% gross margin); orders 4-10 aim for a small profit (3%); orders 11-30 target a gross margin of 5%; and orders 31 and above aim for even higher profits (8%). The system stores this configuration in a rules database (such as TiDB) with the key ogpid.
[0020] As a preferred embodiment, whenever a new user conversion event occurs, the theoretical average commission required to maintain profitability under the current number of reported orders is determined based on the current number of reported orders and the configured gross profit margin rules. This includes: The linear gross margin is determined based on the current number of reported orders and the configured gross margin rules. The theoretical average commission is determined based on the established linear gross margin.
[0021] The linear gross margin is determined based on the current number of reported orders and the configured gross margin rules, including: Retrieve the gross profit margin rules, determine the current number of reported orders corresponding to the reported order tier range as the target tier range, and retrieve the starting order number, ending order number, and target gross profit margin corresponding to the target tier range; The first reported odd-numbered tier range preceding the target tier range is identified as the prior tier range, and the gross profit margin of the prior tier range is determined. The linear gross margin is calculated using the following formula: in, For linear gross margin, The gross profit margin is within the first tier range. To achieve the target gross profit margin, The number of completed orders within the target tier range. The number of completed orders within the initial tier range. This represents the current number of reported orders.
[0022] The theoretical average commission is calculated using the following formula: in, This is the theoretical average commission. Media conversion cost for the advertising page.
[0023] The actual average commission is calculated using the following formula: in, This represents the actual average commission. To accumulate commissions, The commission corresponding to this conversion event.
[0024] In this embodiment, the terminal device is equipped with a dynamic decision-making module. When each conversion event is triggered, it executes a coherent calculation process based on the real-time data of the current OGPID (cumulative reported orders, cumulative commission), preset tiered rules, and the cost and commission of this conversion event: Calculate the smoothed linear gross margin; Calculate the theoretical average commission threshold; Calculate the actual average commission; Compare the theoretical average commission with the actual average commission, make reporting decisions, and update the real-time data of ogpid.
[0025] For example: Step 1: Obtain the current number of odd numbers and query the current number of odd numbers: Based on current_step_num={ogpid}:count_reported+1, query the preset rules to determine the step interval to which current_step_num belongs, and obtain the target gross profit margin set for that interval, as well as the starting number and ending number of the interval.
[0026] Obtain the target gross profit margin of the previous step interval (interval i-1) and the end number of the interval.
[0027] Step 2: Calculate the linear gross margin (smooth transition): Calculate the linear gross margin using the linear interpolation formula: Step 3: Calculate the theoretical average commission threshold (dynamic threshold generation): Based on the linear gross profit margin calculated in Step 2, the smoothed gross profit margin target is transformed into a benchmark for the average commission amount required to maintain this profit level under the current number of orders. Formula: Step 4: Calculate the actual average commission: Actual average commission = {ogpid}.sum_commission / {ogpid}.count_reported.
[0028] Right now: Step 5: Decision Making Compare actual average commission with theoretical average commission: If the actual average commission is greater than or equal to the theoretical average commission: the conversion event should be reported.
[0029] If the actual average commission is less than the theoretical average commission, the conversion event will not be reported.
[0030] Step 6: Real-time data update (linked feature 2): {ogpid}.sum_commission = {ogpid}.sum_commission + current_commission (commission for this order) If it is determined to be a report, then execute: Send the conversion event data to the media platform (report).
[0031] Atomically update the state of the ogpid: {ogpid}.count_reported = {ogpid}.count_reported + 1 If it is determined that the event should not be reported, then the event is discarded.
[0032] As a preferred embodiment, the steps for determining the media conversion cost for any advertising page include: Get the cost of investment and number of conversions for this ad page for each time period within the past set duration; Calculate media conversion costs using the following formula: Where n is the number of time periods with a set duration in the past. The cost of input during the i-th time period within the past set duration. The number of conversions in the i-th time period within the previously defined duration. Assign a weight to the i-th time period within the past duration, and It decreases as i increases.
[0033] In this embodiment, the previously set duration could be 30 days, which could include three time periods: days 1-10, days 11-20, and days 21-30 of these 30 days, where day 1 is the day furthest from the present. It can be 0.6. It can be 0.8. It can be 1, because data closer to the present has a stronger representation of the current situation. Decreasing the value of i as it increases makes the formula result more accurate.
[0034] Embodiment 2 of this application provides a terminal device, including a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, it causes the processor to perform the steps of the advertising conversion event reporting decision method, specifically including: Obtain a tiered gross margin rule; Real-time monitoring of cumulative reported data, which includes the number of reported orders and cumulative commissions; Whenever a new user conversion event occurs, the theoretical average commission required to maintain profitability under the current number of reported orders is determined based on the current number of reported orders and the configured gross profit margin rules. The actual average commission is determined based on the cumulative commission. Determine whether the actual average commission is greater than the theoretical average commission. If so, report the user conversion event; otherwise, do not report the user conversion event.
[0035] This application provides a terminal-readable storage medium according to embodiment three, characterized in that the terminal-readable storage medium stores a computer program, and when the computer program is executed by a processor, the processor performs the steps of the advertising conversion event reporting decision method, specifically including: Obtain a tiered gross margin rule; Real-time monitoring of cumulative reported data, which includes the number of reported orders and cumulative commissions; Whenever a new user conversion event occurs, the theoretical average commission required to maintain profitability under the current number of reported orders is determined based on the current number of reported orders and the configured gross profit margin rules. The actual average commission is determined based on the cumulative commission. Determine whether the actual average commission is greater than the theoretical average commission. If so, report the user conversion event; otherwise, do not report the user conversion event.
[0036] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0037] It should be understood that, when used in this application specification, the term "comprising" indicates the presence of the described feature, integral, step, operation, element, and / or component, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or collections thereof.
[0038] It should also be understood that the term “and / or” as used in this application specification means any combination of one or more of the associated listed items, as well as all possible combinations, and includes such combinations.
[0039] As used in this application specification, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if [the described condition or event] is detected" may be interpreted, depending on the context, as "once determined," "in response to determination," "once [the described condition or event] is detected," or "in response to detection of [the described condition or event]."
[0040] Furthermore, in the description of this application, the terms "first," "second," "third," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance. It should also be understood that although the terms "first," "second," etc., are used in the text to describe various elements in some embodiments of this application, these elements should not be limited by these terms. These terms are merely used to distinguish one element from another. For example, a first table may be named a second table, and similarly, a second table may be named a first table, without departing from the scope of the various described embodiments. Both the first table and the second table are tables, but they are not the same table.
[0041] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.
[0042] The advertising conversion event reporting decision method provided in this application embodiment can be applied to terminal devices such as mobile phones, tablets, wearable devices, in-vehicle devices, augmented reality (AR) / virtual reality (VR) devices, laptops, ultra-mobile personal computers (UMPCs), netbooks, and personal digital assistants (PDAs). This application embodiment does not impose any restrictions on the specific type of terminal device.
[0043] For example, the terminal device may be a station (STAION, ST) in a WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a vehicle networking terminal, a computer, a laptop computer, a handheld communication device, a handheld computing device, a satellite wireless device, a wireless modem card, a set-top box (STB), customer premises equipment (CPE), and / or other devices used for communication over a wireless system, as well as next-generation communication systems, such as mobile terminals in 5G networks or mobile terminals in future evolved Public Land Mobile Network (PLMN) networks.
[0044] As an example and not a limitation, when the terminal device is a wearable device, the term "wearable device" can also refer to any device that utilizes wearable technology to intelligently design and develop everyday wearables, such as glasses, gloves, watches, clothing, and shoes. Wearable devices are portable devices worn directly on the body or integrated into a user's clothing or accessories. Wearable devices are not merely hardware devices; they achieve powerful functions through software support, data interaction, and cloud interaction. Broadly defined, wearable smart devices include those with comprehensive functions, large sizes, and the ability to perform complete or partial functions without relying on a smartphone, such as smartwatches or smart glasses, as well as those focused on a specific application function that require interaction with other devices such as smartphones, such as various smart bracelets and smart jewelry for vital sign monitoring.
[0045] Figure 3 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application. For example... Figure 3 As shown, the terminal device of this embodiment includes: at least one processor ( Figure 3 Only one is shown in the image, and a memory is stored in the memory, which contains a computer program that can run on the processor. When the processor executes the computer program, it implements the steps in the above-described embodiments of the advertising conversion event reporting decision-making methods, for example... Figure 1 Steps S1 to S5 are shown.
[0046] The terminal device may be a desktop computer, laptop, handheld computer, or cloud server, etc. The terminal device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that... Figure 3 This is merely an example of a terminal device and does not constitute a limitation on the terminal device. It may include more or fewer components than shown, or combine certain components, or different components. For example, the terminal device may also include input transmitting devices, network access devices, buses, etc.
[0047] The processor can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.
[0048] In some embodiments, the memory may be an internal storage unit of the terminal device, such as a hard drive or RAM. The memory may also be an external storage device of the terminal device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory may include both internal and external storage units. The memory is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory can also be used to temporarily store data that has been sent or will be sent.
[0049] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0050] This application provides a computer program product that, when run on a mobile terminal device, enables the mobile terminal device to implement the steps described in the above-described method embodiments.
[0051] If the integrated module / unit is implemented as 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, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.
[0052] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.
[0053] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0054] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0055] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.
Claims
1. A method for reporting and making decisions on advertising conversion events, characterized in that, The advertising conversion event reporting decision-making method includes: Obtain a tiered gross margin rule; Real-time monitoring of cumulative reported data, which includes the number of reported orders and cumulative commissions; Whenever a new user conversion event occurs, the theoretical average commission required to maintain profitability under the current number of reported orders is determined based on the current number of reported orders and the configured gross profit margin rules. The actual average commission is determined based on the cumulative commission. Determine whether the actual average commission is greater than the theoretical average commission. If so, report the user conversion event; otherwise, do not report the user conversion event.
2. The method according to claim 1, characterized in that, Tiered gross margin rules include: Several reporting order number tiers, where each reporting order number tier includes the corresponding starting order number and ending order number; Gross profit margin corresponding to each reported odd-number tier range.
3. The method according to claim 2, characterized in that, For each advertising page, a counter associated with the number of reported orders and a floating-point number associated with the cumulative commission are set up; Real-time monitoring and cumulative reported data include: Whenever a conversion event that needs to be reported is determined, the corresponding advertising page and commission for that conversion event are identified. Retrieve the counter on the ad page and increment the counter value by 1; Retrieve the floating-point number from the ad page and add the value of the floating-point number to the commission corresponding to the conversion event.
4. The method according to claim 3, characterized in that, Whenever a new user conversion event occurs, the theoretical average commission required to maintain profitability under the current number of reported orders is determined based on the current number of reported orders and the configured gross profit margin rules. This includes: The linear gross margin is determined based on the current number of reported orders and the configured gross margin rules. The theoretical average commission is determined based on the established linear gross margin.
5. The method according to claim 4, characterized in that, The linear gross margin is determined based on the current number of reported orders and the configured gross margin rules, including: Retrieve the gross profit margin rules, determine the current number of reported orders corresponding to the reported order tier range as the target tier range, and retrieve the starting order number, ending order number, and target gross profit margin corresponding to the target tier range; The first reported odd-numbered tier range preceding the target tier range is identified as the prior tier range, and the gross profit margin of the prior tier range is determined. The linear gross margin is calculated using the following formula: in, For linear gross margin, The gross profit margin is within the first tier range. To achieve the target gross profit margin, The number of completed orders within the target tier range. The number of completed orders within the initial tier range. This represents the current number of reported orders.
6. The method according to claim 5, characterized in that, The theoretical average commission is calculated using the following formula: in, This is the theoretical average commission. Media conversion cost for the advertising page.
7. The method according to claim 5, characterized in that, The actual average commission is calculated using the following formula: in, This represents the actual average commission. To accumulate commissions, The commission corresponding to this conversion event.
8. The method according to claim 5, characterized in that, The steps for determining the media conversion cost for any ad page include: Get the cost of investment and number of conversions for this ad page for each time period within the past set duration; Calculate media conversion costs using the following formula: Where n is the number of time periods with a set duration in the past. The cost of input during the i-th time period within the past set duration. The number of conversions in the i-th time period within the previously defined duration. Assign a weight to the i-th time period within the past duration, and It decreases as i increases.
9. A terminal device, characterized in that, The device includes a memory and a processor, wherein the memory stores a computer program that, when executed by the processor, causes the processor to perform the steps of the advertising conversion event reporting decision method according to any one of claims 1 to 8.
10. A terminal-readable storage medium, characterized in that, The terminal-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to perform the steps of the advertising conversion event reporting decision method according to any one of claims 1 to 8.