A time-sharing pricing method and time-sharing pricing system for e-commerce advertisements

Abstract

The application discloses a time-sharing price adjusting method and system for e-commerce advertisement, which is used in the advertisement module of e-commerce ERP system. The advertisement module includes an advertisement management module for creating advertisement activities and an advertisement price adjusting module with a price adjusting template. The advertisement activities have a specified time period and a corresponding initial budget. When creating or modifying the price adjusting template, specific time periods and corresponding new budgets can be set. The price adjusting template adds advertisement activities as price adjusting controlled objects. When all or part of the advertisement activities in the price adjusting template are selected as price adjusting controlled objects and the advertisement strategies of the selected controlled objects are updated, the updated controlled objects execute new budgets according to the time periods in the price adjusting template, and the unselected controlled objects do not execute price adjustment. The new price adjusting scheme enables the operator to secondarily confirm and modify the advertisement strategies when batch advertising is launched, and the advertisement activities can be launched in batches, so that the operation safety of advertisement price adjustment and the accuracy of advertisement launching are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer, in particular to an e-commerce ERP system with advertisement management function, a corresponding implementation method and computer equipment, and an e-commerce advertisement time-sharing pricing method and time-sharing pricing system. BACKGROUND

[0002] With the rise of global e-commerce, international retail trade has developed rapidly, and a large number of domestic small and medium-sized e-commerce sellers have expanded their retail business to foreign markets, selling a large number of inexpensive and good-quality goods to foreign markets through overseas e-commerce platforms (such as Amazon, eBay, Wish, Shopee, Lazada, etc.). With the development of cross-border business, sellers usually open stores on multiple different e-commerce platforms or open multiple stores on one e-commerce platform. Therefore, the e-commerce ERP system (ERP system for short, or system) based on ERP (Enterprise Resource Planning) software has gradually developed. The e-commerce ERP system can be deeply connected with the overseas e-commerce platform, helping domestic small and medium-sized e-commerce sellers to manage their overseas stores uniformly, solving the communication barriers caused by language differences, and enabling one operator to manage hundreds of stores at the same time, greatly improving the efficiency of each link of store operation.

[0003] The e-commerce ERP system accesses the stores of the e-commerce platform through established rules, realizes diversified functional requirements, processes dynamic data of each link of operation, follows various rules of the e-commerce platform, manages data, and at the same time meets the convenience requirements of various users (sellers). Therefore, the existing commercialized e-commerce ERP system is still in the stage of gradual updating and improvement of functions, and the functional algorithms and rules formulated by each software company when developing its own e-commerce ERP system are basically different. The functions of the product management, sales, procurement, logistics, warehouse, finance, advertisement, customer service and data modules involved often have defects such as function loss and inaccurate calculation when used in specific scenarios, which directly affects the use effect of the ERP system.

[0004] Taking an ERP system for managing an Amazon e-commerce platform store as an example, when formulating an advertising strategy, an important basis for advertising bidding is the estimated advertising revenue (such as advertising order volume, advertising sales, advertising volume, advertising conversion rate, etc.), and the estimated advertising revenue is largely determined by the historical advertising conversion and effect, which corresponds to a large amount of complex and constantly updated dynamic advertising data. The existing commercial ERP system cannot well manage these complex dynamic advertising data, and usually aggregates all advertising data in a total advertising table in the form of a list for centralized management and analysis. The operating personnel finds the corresponding advertising data from the total advertising table by setting filtering conditions, or downloads these advertising data to the local for further analysis; this way of processing advertising data cannot accurately present the advertising data related to the estimated advertising revenue independently and completely, and lacks analysis and tracing of these advertising data, which leads to the inability of the operating personnel to view and analyze these advertising data when formulating an advertising strategy, and thus the inability to accurately select the advertising type, delivery time, and advertising budget, etc. parameters with better effect when setting the advertising strategy, affecting the accuracy of advertising delivery. For example, after the automatic delivery of the advertisement runs for a period of time, it often appears that the budget is insufficient during the peak period, the advertisement is missed during the peak period, or a high advertising fee is maintained during the non-peak period.

[0005] In addition, the existing commercial ERP system usually creates multiple advertising activities into an advertising group (similar to a folder) when batch delivering the advertisement (i.e. applying the advertising strategy), in order to pursue higher delivery efficiency and avoid adjusting the advertising budget, delivery time, etc. data for each advertising activity, and then uniformly operates the advertising group to batch adjust the advertising budget, delivery time, etc. data of each advertising activity (similar to the files in the folder) inside the advertising group. The operation of the advertising module with this architecture is synchronous when formulating the advertising strategy and selecting the controlled object (i.e. the target object to which the advertisement needs to be delivered, such as goods, stores, brand information, etc.), and the batch delivery of the advertisement will bring a blind area, the operating personnel cannot confirm and modify the advertising strategy again when batch delivering the advertisement, and cannot deliver the multiple advertising activities under the same advertising group in batches, and the operation is irreversible; and the operating personnel has high requirements for delivering the advertisement, when the operating personnel is not familiar with the details of the entire batch of advertising activities, it is easy to make mistakes, the operation safety is poor, and it is easy to cause waste of advertising fees. Therefore, this form of advertising module is not suitable for budget-sensitive seller groups, sales period-sensitive seller groups, and fine-seller operating groups, and it is difficult to effectively solve the pain points of these groups in real advertising scenarios.

[0006] Other technical problems related to the e-commerce ERP function module are further explained in the following. The above content is only used to assist in understanding the technical solutions of the present application and does not represent the acknowledgement of the above content as prior art. SUMMARY

[0007] The main purpose of the present application is to provide an e-commerce ERP system with an advertisement management function, aiming to improve the analysis ability of the advertisement module of the ERP system on advertisement data, provide timely and accurate data reference for operators when formulating advertisement strategies, and solve the problem of inaccurate advertisement activity placement. In addition, the present application also provides an asynchronous time-sharing pricing method and time-sharing pricing system of time-sharing strategy, so that the operators can batch price and secondly confirm (i.e. asynchronous operation) when pricing the advertisement, and balance the safety and convenience of the pricing operation. The time-sharing strategy generally refers to the strategy of determining the data such as advertisement type, bidding strategy, advertisement budget (i.e. initial budget), and advertisement placement time period in the process of formulating advertisement activities.

[0008] To achieve the above purpose, the present application provides an e-commerce ERP system with an advertisement management function for managing e-commerce platform stores, characterized in that the e-commerce ERP system with an advertisement management function comprises an advertisement module, and the advertisement module comprises an advertisement management module, a data dashboard module, an advertisement log module, and an advertisement pricing module.

[0009] The advertisement management module is used to create and manage advertisement activities, and the created advertisement activities are automatically recorded in the advertisement activity list of the advertisement management module. The advertisement activity list is used to record and display the field information of the advertisement activities, and the field information of the advertisement activities includes one or more of the name, state, advertisement type, bidding strategy, daily budget, cost type, search result top advertisement position, product page advertisement position, start date, end date, advertisement cost, exposure, click volume, visible display times, per order cost, CPC, VCPM, advertisement click rate, advertisement conversion rate, ACOS, ROAS, ACOTS, ASOTS, advertisement order volume, this advertisement product order volume, other product advertisement order volume, advertisement sales, this advertisement product sales, other product advertisement sales, advertisement sales volume, this advertisement product sales volume, other product advertisement sales volume, brand new buyer order volume, brand new buyer order percentage, brand new buyer sales, brand new buyer sales percentage, brand new buyer sales volume, and brand new buyer sales volume percentage. The advertisement management module generates the corresponding advertisement activity list according to the store.

[0010] The data dashboard module includes a store index dashboard and an advertisement analysis dashboard, the store index dashboard displays advertisement indexes corresponding to store dimensions, the advertisement indexes corresponding to the store dimensions are values obtained by superimposing the same type of indexes of all advertisement activities in the store, and the advertisement indexes corresponding to the store dimensions are calculated according to selected time to obtain field values of the store advertisement indexes, the fields of the store advertisement indexes include one or more of advertisement click volume, advertisement sales, advertisement cost, advertisement order volume, ACOS, exposure volume, CPC, CTR, CVR, ROAS, ACOTS and ASOTS.

[0011] The advertisement analysis dashboard includes a super budget analysis module, a time division superposition module and a super budget record module for monitoring and analyzing the advertisement activities, the super budget analysis module automatically monitors the super budget time of the advertisement activities and displays historical super budget data of the advertisement activities in a graphical form, and the super budget analysis module displays natural ranking, advertisement ranking, daily budget cost and super budget state of the advertisement activities at corresponding time when the corresponding time is selected.

[0012] The time division superposition module summarizes and displays total time division sales volume and super budget days of the advertisement activities corresponding to each time period, and the time division superposition module includes an order analysis graph, the order analysis graph has two calculation modes of hour-by-hour superposition and week-by-week superposition, in the hour-by-hour superposition calculation mode, the horizontal coordinate of the order analysis graph includes 24 hours (such as whole hour time periods of 0:00-24:00 per day), after a user sets the latest calculation time period (such as the latest 7 days, the latest 14 days, the latest 21 days or the latest 28 days), the vertical coordinate of the order analysis graph records the superimposed total of order sales volume of the advertisement activities in each hour period in the latest calculation time period, in the week-by-week superposition calculation mode, the horizontal coordinate of the order analysis graph includes seven time periods from Monday to Sunday, after a user sets the latest calculation time period (such as the latest 7 days, the latest 14 days, the latest 21 days or the latest 28 days), the vertical coordinate of the order analysis graph records the superimposed total of order sales volume of the advertisement activities in the seven time periods from Monday to Sunday in the latest calculation time period, the order analysis graph is used to find order peak periods and non-order peak periods of the advertisement activities, and the calculation mode of hour-by-hour superposition or week-by-week superposition can be flexibly selected according to the sales attribute of the advertisement product, and the accuracy of analyzing the order peak periods and the non-order peak periods is improved.

[0013] The super budget record module records detailed time when the advertisement activities exceed the budget each time and the daily budget cost at the time, and the advertisement log module automatically records and displays operation records of the advertisement activities, and the operation records are presented in a list form.

[0014] The advertisement pricing module comprises a time-sharing pricing billboard, through which the advertisement strategy of the advertisement activity is viewed and / or adjusted, and the adjustment of the advertisement strategy comprises increasing the advertisement budget in the period of budget shortage during the order peak period and reducing the advertisement cost in the period of non-order peak.

[0015] When the advertisement activity is created, the operator can set the advertisement strategy of the advertisement activity according to the estimated advertisement revenue, and after the advertisement activity is operated according to the advertisement strategy for a period of time, the delivery effect of the advertisement activity is viewed through the data billboard module; when the actual advertisement revenue of the advertisement activity reaches the estimated advertisement revenue, the target object group needing to deliver the advertisement is applied in batches; when the actual advertisement revenue of the advertisement activity does not reach the estimated advertisement revenue, the advertisement data of the advertisement activity list, the data billboard module and the advertisement log module are viewed, the advertisement strategy is re-adjusted through the advertisement pricing module, the adjustment of the advertisement strategy comprises increasing the advertisement budget in the period of budget shortage during the order peak period and reducing the advertisement cost in the period of non-order peak, and after the re-adjusted advertisement strategy continues to operate for a period of time, the delivery effect of the advertisement activity is viewed through the data billboard module again, the advertisement strategy is adjusted for one or more times, until the actual advertisement revenue of the advertisement activity after the operation of the advertisement strategy can reach the estimated advertisement revenue, and then the target object group needing to deliver the advertisement is applied in batches.

[0016] The ERP system of the present application presents more detailed advertisement activity data as a first dimension data basis for adjusting the advertisement strategy by refining the granularity of the advertisement activity field in the advertisement activity list; increases the store index billboard as a store dimension data billboard to aggregate the advertisement index data from the store dimension as a second dimension data basis for adjusting the advertisement strategy; sets the mutually related super budget analysis module, time-sharing superposition module and super budget record module for monitoring and analyzing the reasons for the super budget of the advertisement activity as a third dimension data basis for adjusting the advertisement strategy; at the same time, the advertisement log module and the advertisement pricing module are combined to form a business closed loop system for creating, managing, monitoring, analyzing and improving the advertisement strategy, thereby improving the accuracy of advertisement delivery.

[0017] According to the daily super budget period and the sales data such as sales in the period, the operator can adjust the budget to avoid the suspension of the advertisement due to insufficient budget, thereby reducing the effect of the advertisement. The specific implementation scheme and technical effects are described below.

[0018] Further, the application also provides a time-sharing price adjustment method and a corresponding time-sharing price adjustment system for an advertisement module of an e-commerce ERP system. Unlike the existing ERP system which adjusts the advertisement budget and delivery time of an advertisement activity in batches by creating an advertisement group, the time-sharing price adjustment system of the application introduces a new price adjustment template concept to realize batch price adjustment of the advertisement activity through the price adjustment template. The design scheme is as follows:

[0019] In the time-sharing price adjustment system of the application, a separate price adjustment template is set, and the advertisement activities that need to be adjusted or may need to be adjusted are added to the price adjustment template. New time-sharing strategies (including resetting the time period of time-sharing price adjustment and new budget) are reset in the price adjustment template, and the batch price adjustment of the advertisement activity is realized by selectively updating the time-sharing strategy of the advertisement activity. That is, when all or part of the advertisement activities in the price adjustment template are selected as the controlled objects of the price adjustment and the advertisement strategies of the selected controlled objects are updated, the selected controlled objects after the update execute the corresponding new budget according to the time period in the price adjustment template; the controlled objects that are not selected and whose advertisement strategies are updated do not update the advertisement strategies and do not execute the new budget adjustment (may continue to execute the initial budget of the original advertisement activity, or may close the advertisement activity in the price adjustment template).

[0020] The new price adjustment scheme enables the operator to confirm and modify the advertisement strategy twice when delivering the advertisement in batches, and the multiple advertisement activities under the same price adjustment template can be delivered in batches. This asynchronous delivery advertisement price adjustment scheme has low requirements for the operator delivering the advertisement, and the operator can only deliver the advertisement activities that he is familiar with without needing to be familiar with the details of all the advertisement activities. The operator can also choose to deliver a small number of advertisement activities first, and after verifying that the actual advertisement revenue of the time-sharing strategy of the price adjustment template can reach the estimated advertisement revenue after operating the selected advertisement activities for a period of time, the operator can deliver other advertisement activities in batches to avoid operation errors and improve the operation safety of the advertisement price adjustment and the accuracy of the advertisement delivery.

[0021] When adding the advertisement activities, the advertisement activities that need to be adjusted or may need to be adjusted can be added to the price adjustment template, and there is no need to determine the precise controlled objects of the price adjustment during the creation of the price adjustment template, thereby improving the flexibility of the price adjustment and ensuring high delivery efficiency and accuracy in the scenarios of small delivery, batch delivery, and automatic delivery. The specific implementation scheme and technical effects are described below.

[0022] Further, the application also provides a server, which includes a memory and a processor. The e-commerce ERP system of the application is stored in the memory, and the processor can run the operation instructions of the e-commerce ERP system and execute the functions of the function modules.

[0023] Further, the application also provides a computer device, which comprises a memory and a processor, and an e-commerce ERP system of the application is stored in the memory, and the processor can run operation instructions of the e-commerce ERP system and execute functions of each function module.

[0024] Declaration: In order to simplify the description, the application mainly describes the technical solutions based on the Amazon platform, and it should be noted that the e-commerce platform involved in the application can also be one or more e-commerce platforms other than Amazon. The e-commerce ERP system of the application comprises one or more of the function modules such as a commodity module, a sales module, a procurement module, a logistics module, a warehouse module, a financial module, an advertisement module, a customer service module, a tool module, a permission management module and a data module. The function modules can be integrated with each other, can exist independently, and can also be a function module as a sub-module of another function module. The operator of the ERP system of the application can also be referred to as a shop management personnel, a seller, an operation, an operation personnel or a user, and the identity thereof is not strictly limited unless otherwise specified. In the application, "commodity" and "product" are both habitual calls in the field, and the meanings thereof are the same and are not distinguished.

[0025] Explanation of e-commerce terms in the application (the English words in the application are not case-sensitive):

[0026] (1) CPC (Cost Per Click) advertisement refers to a pay-per-click advertisement, and the CPC field in the ERP system of the application refers to the cost per click, and the fee of the advertisement is collected according to the actual number of clicks of the user, and the CPC click cost = advertisement cost / advertisement click volume.

[0027] (2) VCPM (Viewable Cost Per Mille) advertisement refers to a thousand visible exposure billing advertisement, and the VCPM field in the ERP system of the application refers to the cost per thousand visible displays, and the fee of the advertisement is collected according to every thousand visible exposures, and the fee of the VCPM advertisement is irrelevant to the click volume and is only related to the display times.

[0028] (3) SP (Sponsored Product) advertisement refers to a product promotion type advertisement, which mainly expands based on search traffic.

[0029] (4) SB (Sponsored Brand) advertisement refers to a brand promotion type advertisement, and the display content of the corresponding platform search result page comprises a brand logo, a title and a product, which is used to improve the brand exposure and drive the product combination sales.

[0030] (5) SD (Sponsored Display) advertisement refers to a display type promotion type advertisement.

[0031] (6) ASIN is the Amazon platform product number, which can be referred to as the trademark number of the e-commerce platform in this application.

[0032] (7) ERP (Enterprise Resource Planning) is enterprise resource planning.

[0033] (8) Exposure, refers to the number of times of advertising exposure, indicates the number of times of advertising push user browsing display.

[0034] (9) Clicks, refers to the number of times of advertising clicks, indicates the number of times of advertising push user browsing display after being clicked.

[0035] (10) Advertising click rate, the ratio of advertising display being clicked by buyers, which is calculated by dividing the number of clicks by the number of exposures (advertising click rate = clicks / exposures * 100%), which is used to measure the level of user attraction of advertising products to users.

[0036] (11) Advertising cost, indicates the cost generated by user click behavior or e-commerce platform exposure.

[0037] (12) Average click fee, is the ratio of advertising cost to the number of clicks, indicating the cost generated by user click behavior each time.

[0038] (13) Advertising order quantity, is the order quantity of advertising goods and other goods in inventory purchased within a specified time range, and the default specified time range of advertising order quantity in the ERP system is the last 7 days.

[0039] (14) Advertising sales, is the total sales of advertising goods and other goods in inventory purchased within a specified time range, and the default specified time range of advertising sales in the ERP system is the last 7 days.

[0040] (15) Advertising sales volume, is the total sales volume of advertising goods and other goods in inventory purchased within a specified time range, and the default specified time range of advertising sales volume in the ERP system is the last 7 days.

[0041] (16) ACOS (Advertising Cost of Sale), is the ratio of advertising cost to advertising sales (ACOS = advertising cost / advertising sales * 100%), which is used to measure how much advertising sales can be brought by advertising cost.

[0042] (17) ROAS (Return on ad spend), is the advertising expenditure return rate within a specified time range (advertising expenditure return rate = advertising sales / advertising cost), which is calculated by dividing the sales generated by advertising by the advertising cost, and is used to measure the advertising expenditure return level.

[0043] (18) ACOAS (Advertising Cost of All Sale) is the ratio of advertising cost to total sales, used to measure the level of advertising input cost to bring the revenue.

[0044] (19) ASOAS (Advertising Sales Revenue of All Sale) is the ratio of advertising sales to total sales, used to measure the proportion of advertising revenue to total revenue.

[0045] (20) Advertising conversion rate (also known as advertising conversion rate), refers to the ratio of advertising orders to click volume (advertising conversion rate = advertising orders / click volume * 100%), used to measure the level of advertising channels to convert ordinary users into transaction users.

[0046] (21) ACOTS (Advertising Cost of Total Sale) is the percentage of advertising cost to total sales in a specified time range, which is calculated by dividing the advertising cost by the total sales, used to measure the level of advertising input cost to bring the revenue of the store.

[0047] (22) ASOTS (Advertising Sales of Total Sale) is the percentage of advertising sales to total sales in a specified time range, which is calculated by dividing the advertising sales by the total sales of the store, used to measure the proportion of advertising revenue to the total revenue of the store.

[0048] (23) CTR refers to the click rate, which is calculated by dividing the number of clicks by the number of exposures, and varies according to the selected time range. (24) CVR refers to the order conversion rate, which is calculated by dividing the total number of advertising orders by the total number of advertising clicks, and varies according to the selected time range. (25) ASIN is the Amazon platform product number, which can be referred to as the product number of the e-commerce platform in this application; SKU (Stock Keeping Unit) refers to the inventory product code; SPU (Standard Product Unit) refers to the standardized product unit; MSKU (Merchant Stock Keeping Unit) refers to the online product code; SPU is the smallest unit of product information aggregation, which is a set of reusable and easily searchable standardized information, which describes the characteristics of a product, that is, attribute values, and goods with the same characteristics can be called an SPU; A SPU can contain multiple SKUs, and a SKU can contain multiple MSKUs. BRIEF DESCRIPTION OF DRAWINGS

[0049] The accompanying drawings are used to provide further understanding of the present application, and do not constitute a limitation on the present application; the contents shown in the drawings can be true data of the embodiments, and belong to the protection scope of the present application:

[0050] Figure 1 An architecture diagram of an advertisement module in an embodiment of the e-commerce ERP system of the present application;

[0051] Figure 2 A workflow diagram of the advertisement module in an embodiment of the e-commerce ERP system of the present application;

[0052] Figure 3 A workflow diagram of a price adjustment template in an embodiment of the e-commerce ERP system of the present application;

[0053] Figure 4 A process diagram of an advertisement log module in an embodiment of the e-commerce ERP system of the present application;

[0054] Figure 5 A time-sharing price adjustment process diagram of e-commerce advertisements in an embodiment of the e-commerce ERP system of the present application; DETAILED DESCRIPTION

[0055] In order to make the purpose, technical scheme and advantages of the present application more clear, the embodiments of the present application are further described in detail below in combination with the drawings. It should be understood that the specific embodiments described herein are only used to explain the present application, and do not limit the present application.

[0056] Reference Figure 1 and Figure 2 The present application proposes an e-commerce ERP system with an advertisement management function. In an embodiment of the present application, the e-commerce ERP system can be used to manage an Amazon store or a store of other e-commerce platforms. The e-commerce ERP system includes an advertisement module, which includes an advertisement management module, a data dashboard module, an advertisement log module and an advertisement price adjustment module.

[0057] The advertisement management module is used to create, edit and manage the advertisement activities. The created advertisement activities are automatically recorded in the advertisement activity list of the advertisement management module. The advertisement activity list is used to record and display the field information of the advertisement activities, which includes one or more of the following: the name of the advertisement activity, the state (i.e. the current state information of the advertisement activity), the advertisement type, the bidding strategy, the daily budget, the cost type, the search result top advertisement position, the product page advertisement position, the start date, the end date, the advertisement cost (the total advertisement cost of the advertisement activity), the exposure (the number of times the advertisement is displayed), the click volume (i.e. the number of times the advertisement is clicked, indicating the number of times the advertisement is clicked after being displayed to the user), the visible display times (at least 50% of the advertisement should be displayed in the customer's visual area for at least 1 second, which is counted as one visible display exposure), the cost per order (cost per order = advertisement cost / advertisement order volume), CPC, VCPM, advertisement click rate, advertisement conversion rate, ACOS, ROAS, ACOTS, ASOTS, advertisement order volume (indicating the order volume of the advertised goods and other goods in the inventory purchased by the buyer), the order volume of the current advertisement product (the order volume of the goods with the advertisement in the corresponding advertisement activity), the order volume of other product advertisements (other product advertisement order volume = advertisement order volume - the order volume of the current advertisement product), the advertisement sales, the sales of the current advertisement product (the sales generated by the goods with the advertisement in the corresponding advertisement activity), the sales of other product advertisements (other product advertisement sales = advertisement sales - the sales of the current advertisement product), the advertisement quantity, the quantity of the current advertisement product (the quantity generated by the goods with the advertisement in the corresponding advertisement activity), the quantity of other product advertisements (other product advertisement quantity = advertisement quantity - the quantity of the current advertisement product), the order volume of new brand buyers (i.e. the order volume of the brand products purchased for the first time within 1 year), the order percentage of new brand buyers (order volume of new brand buyers / advertisement order volume), the sales of new brand buyers (advertisement sales generated by the orders of new brand buyers), the sales percentage of new brand buyers (sales of new brand buyers / advertisement sales), the quantity of new brand buyers (advertisement quantity generated by the orders of new brand buyers), and the quantity percentage of new brand buyers (quantity of new brand buyers / advertisement quantity). The above field information is used to refine the granularity of the advertisement activities and present more detailed advertisement activity data as a whole, which serves as the data basis for adjusting the advertisement strategy in the first dimension. The advertisement management module generates the corresponding advertisement activity list according to the store.

[0058] The data dashboard module includes a store index dashboard and an advertisement analysis dashboard. The store index dashboard displays advertisement indexes corresponding to a store dimension. The display mode can be in a graphical form to improve the display effect of related data. The graphical form display can be in a curve graph, a column graph, or a combination of a graph and a list. The advertisement indexes of the store dimension are the values of the same type of indexes of all advertisement activities in the store, which are calculated by superposition. For example, the advertisement click volume of the store dimension is the total sum of the click volumes of all advertisement activities in the store. The advertisement indexes of the store dimension calculate the field values of the store advertisement indexes according to the selected time (such as the selected day, week, or month as the statistical time). The fields of the store advertisement indexes include one or more of the advertisement click volume, the advertisement sales, the advertisement fee, the advertisement order volume, the ACOS, the exposure volume, the CPC, the CTR, the CVR, the ROAS, the ACOTS, and the ASOTS of the store. The fields of the advertisement indexes of the store dimension, that is, the superposition of the field data of each advertisement activity in the store, vary according to the selected time range. The advertisement index data of the store dimension is aggregated as the second dimension to adjust the data basis of the advertisement strategy.

[0059] The advertisement analysis dashboard includes a super budget analysis module, a time overlay module, and a super budget record module for monitoring and analyzing advertisement activities. The super budget analysis module automatically monitors the super budget time of the advertisement activities and displays the historical super budget data of the advertisement activities in a graphical form. The super budget analysis module displays the natural ranking, the advertisement ranking, the daily budget fee, and the super budget state (including exceeding the budget or being within the budget) of the advertisement activities at the corresponding time according to the selected time. The super budget analysis module also supports adding keywords to view the keyword ranking changes. The advertisement analysis dashboard also includes an index analysis module for analyzing the advertisement activities. The index analysis module displays the advertisement data in a graphical form and supports on-demand custom selection of field data. The fields of the index analysis module include one or more of the exposure volume, the click volume, the click rate, the advertisement fee, the average click cost, the advertisement order volume, the advertisement sales, the order conversion rate, the ACOS, the ROAS, the ACOTS, and the ASOTS of the advertisement activities. The time overlay module aggregates and displays the total time sales and the super budget days of the corresponding advertisement products of the advertisement activities in each time period (such as each hour period) to view the single peak period, the super budget time, and other data. The super budget record module records the detailed time of each time of exceeding the budget and the daily budget fee at that time. The super budget analysis module and the index analysis module, in combination with the time overlay module and the super budget record module, are used to monitor and analyze the reasons for the super budget of the advertisement activities as the third dimension to adjust the data basis of the advertisement strategy.

[0060] The advertisement log module automatically records and displays operation records of the advertisement activities, and the operation records can be presented in a list form. The advertisement pricing module includes a time-based pricing board, through which the advertisement strategies of the advertisement activities can be viewed.

[0061] When creating the advertisement activities, the operators can set the advertisement strategies of the advertisement activities according to the estimated advertisement revenues. After the advertisement activities are operated according to the advertisement strategies for a period of time, the delivery effects of the advertisement activities are viewed through the data board module. When the actual advertisement revenues of the advertisement activities reach the estimated advertisement revenues, the advertisement strategies are applied to the target object groups in batches that need to be delivered with advertisements. When the actual advertisement revenues of the advertisement activities do not reach the estimated advertisement revenues, the advertisement data of the advertisement activity list, the data board module and the advertisement log module are viewed, the advertisement strategies are re-adjusted through the advertisement pricing module, the adjustment modes of the advertisement strategies include increasing the advertisement budget in the period when the budget is insufficient during the order peak period, and reducing the advertisement cost in the period when it is not the order peak period, the re-adjusted advertisement strategies continue to operate for a period of time, and then the delivery effects of the advertisement activities are viewed through the data board module. Through one or more times of adjustment of the advertisement strategies, until the actual advertisement revenues of the advertisement activities after the operation of the advertisement strategies can reach the estimated advertisement revenues, the advertisement strategies are applied to the target object groups in batches that need to be delivered with advertisements.

[0062] The aforementioned first, second and third dimension adjustment of the advertisement strategies is based on the data, which, in combination with the advertisement log module and the advertisement pricing module, constitutes a business closed-loop system for creating, managing, monitoring, analyzing and improving the advertisement strategies, so as to improve the accuracy of advertisement delivery.

[0063] The store index board displays the advertisement indexes corresponding to the store dimension in a graphical form. The graphical setting of the store index board is at the top of the advertisement activity list. A switching key is provided at the top of the advertisement activity list. When the switching key is selected, the store index board can be displayed at the top of the advertisement activity list. When the switching key is unselected, the store index board can be hidden from the top of the advertisement activity list. The advertisement data of the store dimension can be quickly presented and folded, which facilitates the viewing and comparison of the advertisement data and improves the interface display effect of the advertisement management module.

[0064] Further, the ERP system further increases the analysis function of brand new buyers. The brand new buyer refers to a buyer who purchases the brand product for the first time within 1 year. The field information of the advertisement activities includes the brand new buyer order quantity, the brand new buyer order percentage, the brand new buyer sales, the brand new buyer sales percentage, the brand new buyer sales volume and the brand new buyer sales volume percentage. The advertisement data of the brand new buyer is helpful for analyzing the proportion of new buyers and old buyers in the advertisement commodity sales process.

[0065] Further, in the current situation of increasingly expensive cpc advertising, the ERP system of the present application provides three types of advertising activities: product promotion advertising (SP advertising), display promotion advertising (SD advertising), and brand promotion advertising (SB advertising), and analyzes the cost-effective advertising placement mode from the three types of advertising data.

[0066] The placement type of product promotion advertising includes automatic placement and manual placement. When creating product promotion advertising, the name of the advertising activity, the start date, the end date, the daily budget, and the bidding strategy are set. The bidding type of product promotion advertising includes fixed bidding, only decreasing dynamic bidding, increasing and decreasing dynamic bidding, and adjusting bidding according to the ad position. When the advertising activity is set to automatic placement, in addition to setting the default bid amount, the bid cost of the targeting group can be further increased according to the targeting group. The targeting group includes four attribute types: close match, broad match, similar products, and related products. When the advertising activity is set to manual placement, the operator sets the keywords or product attributes as the bidding strategy. The keywords can be keywords related to the product to help buyers search for the keywords set in the advertisement, or negative keywords set in the advertisement to prevent the system from pushing the advertisement to buyers searching for the negative keywords. The product attributes are specific products, categories, brands, or other product features.

[0067] The placement type of display promotion advertising includes placement by audience and placement by goods. The audience refers to the custom audience that views the product detail page matching the selected standard, and the goods refer to the target products selected for placement on the e-commerce platform. The bidding type of display promotion advertising includes cost-per-click (CPC) bidding and visible cost-per-mille (VCPM) bidding. The bidding optimization mode of display promotion advertising includes optimization for reach, optimization for page visits, and optimization for conversion. Optimization for reach refers to optimizing the corresponding bid to obtain a higher number of visible displays, increasing the visibility of the goods by displaying the advertisement to relevant audiences inside and outside the e-commerce platform, thereby maximizing coverage, with VCPM as the cost type, determined by the number of visible displays and the number of clicks. Optimization for page visits refers to optimizing the corresponding bid to obtain a higher product detail page visit rate, increasing the click rate of the goods by displaying the advertisement to buyers who are more likely to click on the advertisement, with CPC as the cost type, determined by the number of clicks. Optimization for conversion refers to optimizing the corresponding bid to obtain a higher conversion rate, increasing sales by displaying the advertisement to customers who are more likely to purchase the goods, with CPC as the cost type, determined by the number of clicks.

[0068] The brand promotion advertisement placement type includes commodity set placement and video placement. The commodity set placement refers to using pictures to guide traffic to a commodity detail page to promote multiple commodities. The video placement refers to using an automatically played video to display a single commodity to guide traffic to a commodity detail page.

[0069] In an embodiment, the data dashboard module further includes a purchased product analysis module. The purchased product analysis module includes an associated product list. The purchased product analysis module tracks other commodities having an association with an advertised commodity during an advertising sales process based on the advertised commodity that has been purchased. The associated product list records the sales and / or sales proportion of the advertised commodity and each associated commodity.

[0070] That is, the advertising module of the present application not only analyzes data of an advertised commodity, but also increases analysis of advertising commodity sales data. The data between multiple purchased ASIN reports is integrated to analyze products having an association during an advertising sales process. Multiple dimension data of each product is provided to help users locate more products with orders and perfect their advertising product placement system. The advertising module helps users clearly analyze and present which product in the associated product (or parent-child ASIN product) has the best or worst sales. The purchased product analysis module records the sales data of the advertised commodity and each associated commodity in the associated product list. Users can optimize their advertising strategies, create their own advertising product placement matrix, and avoid effective traffic loss.

[0071] For example, a user posts an advertisement for a white mouse. The advertising module can track a black mouse having similar properties to the white mouse and a keyboard purchased during the advertising sales process based on the ASIN of the white mouse. The purchased product analysis module records the sales data of the white mouse, the black mouse, and the keyboard in the associated product list. When the sales of the black mouse or the keyboard are better than the white mouse, the user can select to post an advertisement for the commodity with better sales in the later period. That is, the purchased product analysis module realizes automatic recommendation of an optimal advertising posted product.

[0072] The associated product list can be displayed in a list form or a graph (such as a pie chart, a column chart, etc.). The associated product list can also be displayed in a list and a graph.

[0073] The purchased product analysis module compares the sales of the advertised product and other associated products. When the sales of the advertised product are less than the sales of the associated products, the target object of the advertisement campaign is automatically adjusted to the associated product with the highest sales. When the target object of the advertisement campaign is automatically adjusted to the associated product with the highest sales, the automatic adjustment time is recorded in the advertisement log, and the adjustment mode of the advertisement strategy is identified as automatic update. That is, the system can automatically select the product with the highest sales as the object of the advertisement, improving the accuracy of the advertisement placement; and can also reduce manual operation of the operation personnel, improving the working efficiency of the system.

[0074] The field information of the corresponding advertisement campaign includes other product advertisement order quantity, other product advertisement sales, and other product advertisement quantity sales. The advertisement data of other associated products other than the advertised product is counted, improving the granularity of the advertisement data.

[0075] In an embodiment, the advertisement analysis board further includes an hourly data analysis module. The hourly data analysis module analyzes historical hourly data to present the advertisement data performance in a chart form. Compared with the conventional data display in the form of daily reports, the hourly data analysis module has a smaller time granularity, can timely discover abnormalities, and analyze the reasons for the money being spent without end. The hourly data analysis module can also determine the best time period for the advertisement effect and adjust the budget. The fields of the hourly data analysis module include one or more of advertisement click quantity, advertisement sales, advertisement fee, advertisement order quantity, ACOS, exposure quantity, CPC, CTR, CVR, ROAS, ACOTS, and ASOTS. The hourly click data and other data are viewed to determine the allocation of the budget, because there are a large number of invalid clicks. The hourly data analysis module can also investigate whether there is malicious clicking of the advertisement by competitors to consume the advertisement fee.

[0076] Further, the hourly data analysis module presents the advertisement data in a first period and a second period in the same coordinate. The recent advertisement data can be compared with the advertisement data of any time period in the past, improving the data analysis efficiency. The hourly data analysis module presents the advertisement data in a selected time period and associates the advertisement data with the over budget state. When a specific time period is selected, the corresponding advertisement data and over budget state data can be downloaded to the local together, facilitating the accurate collection and backup of the over budget information.

[0077] The field information of the advertising campaign further includes budget consumption, which displays the remaining proportion of the advertising budget in the form of a progress bar. For example, a specific percentage value is displayed, or an over budget is displayed when the advertising is over budget, or a specific budget consumption amount is displayed; or a percentage can be displayed in the progress bar (such as “45%”), and a specific budget consumption amount can be displayed at the bottom of the progress bar (such as “remaining 45 yuan, spent 55 yuan”). The budget consumption benefits from the hourly advertising data information. The addition of the budget consumption progress bar in the advertising campaign list can intuitively see the real-time state of the advertising spending, facilitate the viewing of the advertising effect of each advertising campaign in the advertising list, and also increase an advertising over budget prompt channel.

[0078] The existing advertising log mainly automatically records and displays the operation records of advertising activities, advertising groups, and advertising delivery in the form of a list, and is displayed in the advertising log list in the order of operation time. Important advertising information cannot be actively pushed.

[0079] The advertising log list is divided into three sub-lists according to three data sources of manual adjustment, automatic adjustment, and e-commerce platform records, and is further classified according to SP advertising, SB advertising, and SD advertising types. The automatic classification of multiple dimension data can be used to trace the advertising delivery process and distinguish different adjustment methods for viewing: manual adjustment, timed price adjustment, system prompt, Amazon background adjustment, which facilitates users to quickly find problems; it can also facilitate users to further summarize advertising experience or operation experience, so as to accurately adjust the advertising strategy. Figure 4 The advertising log constitutes a small advertising management closed loop process, which can be independently viewed for key advertising operations, or can be used together with other advertising modules.

[0080] The advertising log can also include a log chart, which can be a curve chart or a column chart. The fields of the log chart include one or more of advertising clicks, advertising sales, advertising fees, advertising order quantity, ACOS, exposure, CPC, CTR, CVR, ROAS, ACOTS, and ASOTS. The horizontal axis of the log chart is the time axis, and the time axis of the horizontal axis includes three date display modes: day, week, and month, corresponding to the recent 7 days, the recent 2 weeks, and the current month, respectively. The vertical axis is the relative increment of the chart field. When the mouse moves to the time area of the corresponding horizontal axis of the log chart, the corresponding field data is displayed through a floating window, so that multiple different types of fields can be displayed in the same log chart.

[0081] Further, in order to improve the analysis ability of the advertising log, a single-dimensional curve or column chart can only be used to analyze the trend of field data. Therefore, the advertising log of the present application adds an advertising log update quantity identifier in the trend chart of the log chart. Specifically, a fixed quantity identifier window (which can be circular or square) can be added in the curve or column chart of the log chart, and the quantity identifier window can identify the number of advertising log update records in the corresponding horizontal coordinate time period. When there is no advertising log update record in a certain time period, the quantity identifier window can be identified as zero or the quantity identifier window can not be displayed. The quantity identifier window can assist in analyzing the inflection point of the trend chart of the log chart, and can also identify the time period in the trend chart where the advertising strategy changes frequently, so that the operation personnel can quickly find out the time period with good or poor advertising effect, and the operation personnel can trace the advertising placement or price adjustment process accordingly, thereby improving the accuracy of advertising analysis.

[0082] In addition, when the mouse moves to the time area of the corresponding horizontal axis of the log chart, the specific advertising activity update content in the corresponding time period is also displayed in the displayed floating window, so that the operation personnel can find out the main reason for good or poor advertising effect through the advertising log module, which is very suitable for preliminary analysis of advertising placement effect and improves the analysis efficiency of advertising placement effect.

[0083] Further, with reference to Figure 3 and Figure 5 , the present application also provides a time-sharing price adjustment method for e-commerce advertising and a corresponding time-sharing price adjustment system. In the time-sharing price adjustment system of the present application, the advertising module includes an advertising management module and an advertising price adjustment module. The advertising management module is used to create and manage advertising activities, and each advertising activity has a specified time period and an initial budget for placing advertising in the specified time period. The advertising management module can create one or more advertising activities.

[0084] In the present application, the initial budget of the advertising activity and the new budget in the price adjustment template are both advertising budgets of the advertising activity, and the execution of the new budget is prior to the initial budget. After the first price adjustment is completed through the price adjustment template, the new budget becomes the initial budget of the advertising activity. That is, when the price adjustment template is adjusted again, the new budget in the previous price adjustment template is used as the initial budget of the current advertising activity.

[0085] The advertising price adjustment module has a price adjustment template. When creating or modifying (which can be re-editing an already created price adjustment template) the price adjustment template, a specific time period can be set, and a new budget for the corresponding time period can be set. That is, the price adjustment template can reset the time period and the corresponding new budget. The price adjustment template can add one or more advertising activities as the controlled objects of the price adjustment.

[0086] AsFigure 5 The time-sharing pricing method of e-commerce advertisement comprises:

[0087] S1: creating or modifying the pricing template, and setting specific time periods for pricing and the new budget corresponding to the specific time periods in the pricing template;

[0088] S2: adding one or more advertisement activities that need or may need to be priced to the pricing template;

[0089] S3: selecting all or part of the advertisement activities in the pricing template as controlled objects for pricing, updating the advertisement strategies (i.e. time-sharing strategies) of the selected controlled objects, and updating the selected controlled objects to execute the corresponding new budget according to the time periods in the pricing template. The controlled objects that are not selected and updated for the advertisement strategies do not execute the pricing of the new budget. The controlled objects that are not updated for the advertisement strategies can be used as objects to be priced, and can continue to execute the original initial budget according to the time periods in the original advertisement activities, or can be set to suspend the execution of the pricing.

[0090] The pricing template is created based on a store, and manages the advertisement activities in the store. The advertisement activities added in the pricing template can be displayed in a list form, and each advertisement activity in the list is provided with a state switch that can open and close the time-sharing strategy. When the state switch of the time-sharing strategy is opened, the time-sharing task is normally executed; when the state switch of the time-sharing strategy is closed, the time-sharing task is suspended; and the state switch of the time-sharing strategy is in a default opened state. Through the state switch of the time-sharing strategy, the advertisement activities that do not need to be priced or that will cause adverse consequences due to misoperation can be suspended first. When all the advertisement activities in the pricing template are updated, only the advertisement activities with the opened state switch are updated, and the advertisement activities with the closed state switch are not updated, thereby further improving the safety of the pricing operation.

[0091] The advertisement pricing module further comprises a template management module. One or more pricing templates can be created in the template management module, and the created pricing templates are automatically recorded in a pricing template list of the template management module. The pricing template can be edited in the pricing template list to modify the content thereof. As shown in Figure 3 The template management module is used for template application management (i.e. application management of the pricing template), the updating mode of the time-sharing strategy of the advertisement activity comprises single selection updating, multiple selection updating and full updating, and the efficiency of the updating of the pricing strategy can be improved.

[0092] The pricing template can be deleted or modified in the pricing template list, and the modification or deletion of the pricing template will not affect the time-sharing pricing task. When the advertisement activities in the pricing template are suspended or removed, the advertisement activities will automatically execute the corresponding initial budget according to the time periods.

[0093] The price adjustment template list displays one or more fields of the name of the price adjustment template, the number of applied, the strategy rule, the last modification time, the last modifier and the store to which the price adjustment template belongs. The number of applied refers to the number of advertisement activities in which the advertisement strategy has been updated in the price adjustment template. The strategy rule displays the specific time period and the corresponding new budget of the price adjustment template. The new budget can be a specific advertisement cost amount or a percentage of the initial budget of the original advertisement activity. The last modification time refers to the last modification time of the creation or editing of the price adjustment template. The last modifier refers to the last modifier of the creation or editing of the price adjustment template. The store to which the price adjustment template belongs refers to the store information of the e-commerce platform to which the price adjustment template belongs, which can be the site and name of the store and other information. The price adjustment template automatically records the creator and the last modifier of the template according to the login account of the ERP system.

[0094] The price adjustment template list has a price adjustment template copying function. When creating a price adjustment template, the specific time period information and the corresponding new budget information in the created price adjustment template can be copied. After copying a certain created price adjustment template, the price adjustment template list interface will switch to the new price adjustment template interface. The specific time period information and the corresponding new budget information in the copied price adjustment template are automatically entered in the new price adjustment template. At this time, after inputting the name of the new price adjustment template, the creation of the new price adjustment template is completed. The part of the information in the price adjustment template can also be modified, so as to quickly complete the creation of the new price adjustment template. Before the final advertisement strategy is formulated, the advertisement activity delivery time period and the advertisement budget value need to be adjusted many times. Each small adjustment of the advertisement strategy can gradually approach the final advertisement strategy. After many verifications of the advertisement effect, the final advertisement strategy is obtained. In this process, the new price adjustment strategy is created by gradually copying the last price adjustment template. In addition to improving the creation efficiency of the price adjustment template, the process of gradually improving the advertisement strategy is recorded in the price adjustment template list, which facilitates the user to trace, analyze and summarize the advertisement operation experience, so as to continuously improve and adjust the advertisement strategy.

[0095] The price adjustment template has two price adjustment modes, daily setting and weekly setting, and the two modes correspond to daily time period selection table and weekly time period selection table respectively. The daily time period selection table has continuous time periods from zero to twenty-four, and the time period and new budget setting in the daily setting mode are completed by selecting the corresponding time period (i.e. the allocated time period) and inputting the corresponding new budget (i.e. the allocated amount). The weekly time period selection table has continuous time periods from zero to twenty-four for each day from Monday to Sunday, and the time period and new budget setting in the weekly setting mode are completed by selecting the corresponding time period from Monday to Sunday and inputting the corresponding new budget. The continuous time period can be divided into time periods of 1 hour, so there are 24 time periods per day, or it can be divided into time periods of 1 minute or other lengths of time. The new budget can be a fixed budget value input or a percentage of the initial budget to achieve the corresponding price adjustment. The new allocated time period and the allocated amount are data re-planned according to the advertisement activity list, the store index board, the over budget analysis module, the time division superposition module, the over budget record module and the advertisement log module after the advertisement data analysis and verification.

[0096] The daily setting price adjustment mode is suitable for advertisement activities that have no or little impact on the sales of advertisement products during weekend time and non-weekend time, and the weekly setting price adjustment mode is suitable for advertisement activities that have a significant impact on the sales of advertisement products during weekend time and non-weekend time. Therefore, the two price adjustment modes have strong scene applicability, guide the operation personnel to trace back and view the advertisement launching effect according to the time period of the price adjustment template, clearly determine the improvement direction of the price adjustment, and improve the efficiency of the price adjustment.

[0097] The price adjustment template can reference the data of other price adjustment templates from the template management module. When the data of other price adjustment templates is selected for reference, the price adjustment template switches to the template management module interface, and the time period information and new budget information in the selected and referenced price adjustment template are automatically imported into the currently created or edited price adjustment template. The reference function of the price adjustment template is different from the copy function of the price adjustment template. The reference of the price adjustment template supports cross-store reference of other price adjustment template data, and can flexibly import the price adjustment template data in the current store and other stores. When the referenced price adjustment template is a daily setting price adjustment mode, the current price adjustment template is automatically switched to a daily setting price adjustment mode, and the time period information and new budget information are updated accordingly. When the referenced price adjustment template is a weekly setting price adjustment mode, the current price adjustment template is automatically switched to a weekly setting price adjustment mode, and the time period information and new budget information are updated accordingly.

[0098] The price adjustment template list also has an operation field. Through the operation field, advertisement activities can be added to the corresponding price adjustment template, and through the operation field, the corresponding price adjustment template can be edited, copied or deleted.

[0099] In an embodiment, the advertisement pricing module can include one or more of a time-division budget adjustment module, a time-division ad position adjustment module, and a time-division bid adjustment module, each having a corresponding pricing template. The time-division budget adjustment module is configured to adjust an initial budget according to different time periods, the time-division ad position adjustment module is configured to adjust an initial budget proportion of an ad position according to different time periods, and the time-division bid adjustment module is configured to adjust a bid strategy of an initial budget according to different time periods.

[0100] Specifically, the pricing template of the time-division budget adjustment module has two pricing modes, a proportional distribution mode and a fixed value adjustment mode. In the proportional distribution mode, the new budget value in the pricing template is a percentage of the initial budget. In the fixed value adjustment mode, the new budget value in the pricing template is a newly input budget value. When the template management module selects the proportional distribution mode, the list of the template management module automatically filters and displays all pricing templates that use the proportional distribution mode. When the template management module selects the fixed value adjustment mode, the list of the template management module automatically filters and displays all pricing templates that use the fixed value adjustment mode, improving the classification viewing and management efficiency of the templates. The new budget value in the pricing template of the time-division ad position adjustment module includes a percentage for top bidding and a percentage for product page bidding, improving the percentages for top bidding and product page bidding that were previously set according to the initial budget in the original ad campaign. The pricing template of the time-division bid adjustment module can reset the bid strategy of the new budget, which can be an increase or decrease in the budget value on the initial budget, or a newly input budget value.

[0101] In the pricing template of the time-sharing budget module, the time-sharing advertising position module or the time-sharing bidding module, if the new budget needs to input multiple types of cost data, it is difficult to display all the cost categories and cost data in the daily time period selection table or the weekly time period selection table. Therefore, the same type of cost category and cost data is identified by the same color of text during data presentation, different colored cost categories are set in the table header of the daily time period selection table or the weekly time period selection table, and cost data of the corresponding color is displayed in the corresponding table of the daily time period selection table or the weekly time period selection table. For example, the new budget value in the pricing template of the time-sharing advertising position module includes: (1) the cost category is "top bidding", and the corresponding cost data is 50%; (2) the cost category is "product page bidding", and the corresponding cost data is 30%; then the green "top bidding" text and the red "product page bidding" text are identified in the table header position of the daily time period selection table or the weekly time period selection table, and the green "50%" value and the red "30%" are identified in the corresponding table of the daily time period selection table or the weekly time period selection table; thereby avoiding inputting and displaying super-long content such as "top bidding 50%, product page bidding 30%" in the table. By setting different colored data in the table, the table information content is shortened, and more comprehensive data is displayed in the table.

[0102] The advertising management module further includes an advertising product list, which automatically records the advertising data of product promotion advertisements and / or the advertising data of display promotion advertisements of the added advertising products (the advertising products are also the products of the advertising promotion). The fields of the advertising product list include product information, and all advertising activities of the added advertising products can be filtered according to the ASIN of the advertising product. The advertising list can selectively suspend the advertising products that do not need to continue to place advertisements, so as to facilitate the suspension of the placement of the advertising activities from the dimension of the advertising products.

[0103] Although the pricing of the advertising activities in the ERP system of the present application is realized by the pricing template, in order to take into account the operation habits of the old users, the functions and operation modes of the advertising groups are still retained in the ERP system.

[0104] The advertising management module can further include an advertising group list, which automatically records all advertising groups created in the store, and each advertising group includes one or more advertising activities. The list fields of the advertising product list and the advertising group list include the fields of all or part of the advertising activity list, so as to facilitate the viewing of the placement effect of the corresponding advertising activities.

[0105] The advertisement product list can create tags, such as creating tags of best-selling products, ordinary products, strategic products, and flow products according to advertisement product attributes, and selecting advertisement products corresponding to the tag attributes and adding them to the created tags, so as to facilitate direct searching of advertisement products with corresponding attributes through the tags. Similarly, in other embodiments, the advertisement group list or other lists also have a tag function, such as creating tags of focus, special attention, and temporary according to the attributes of the advertisement group, so as to further classify the advertisement groups in the advertisement list. Therefore, the creation and use of the tags provide a flexible and customized identification and screening function, which can classify, accurately search, and manage the identified objects. The tags of the same list are automatically summarized in a tag list, and the tags in the tag list can be sorted, colored, or deleted.

[0106] In an embodiment, the SP and SD advertisement data under the ASIN are aggregated and analyzed together, so as to realize cross-store, cross-site, and cross-advertising type viewing of the advertisement investment and search word data of the ASIN by the advertisement module.

[0107] In an embodiment, the advertisement management module further includes a budget upper limit setting module, which controls the promotion budget upper limit of all advertisement activities in the store as a whole. The budget upper limit setting module has two states of a daily budget upper limit and an advertisement series top budget, and only one of the two states can be set. The daily budget upper limit refers to the maximum expenditure of the total advertisement cost of all advertisement activities per day; the advertisement series top budget refers to the highest expenditure of the total advertisement cost of all advertisement activities within a specified date range; when the advertisement activity budget upper limit is reached, all advertisement activities will be stopped.

[0108] The above only describes the preferred embodiments of the present application, and does not limit the patent scope of the present application. Any equivalent transformation, direct / indirect application in other related technical fields, or direct / indirect application in other related technical fields within the inventive concept of the present application and the content of the specification and drawings are included in the patent protection scope of the present application.

Claims

1. A time-based price adjustment method for e-commerce advertising, used in the advertising module of an e-commerce ERP system, characterized in that, The advertising module includes an advertising management module, a data dashboard module, an advertising log module, and an advertising price adjustment module; (1) The advertising management module includes an advertising campaign list, which is used to record and display the field information of the corresponding advertising campaigns; (2) The data dashboard module includes a store metrics dashboard and an advertising analysis dashboard. The store metrics dashboard is used to display advertising metrics for the corresponding store dimensions. The advertising analysis dashboard includes an over-budget analysis module, a time-sharing overlay module, and an over-budget recording module for monitoring and analyzing advertising activities, wherein: ① The over-budget analysis module is used to monitor the over-budget time of advertising campaigns and display the natural ranking, ad ranking, daily budget cost, and over-budget status of advertising campaigns at the corresponding time; ② The time-sharing overlay module includes an order analysis chart, which summarizes and displays the total time-sharing sales and over-budget days of advertising products corresponding to each time period through two calculation modes: hourly overlay and weekly overlay, so as to present the peak and non-peak order periods of the corresponding advertising campaigns; ③ The over-budget recording module is used to record the detailed time of each time the corresponding advertising campaign exceeds the budget, as well as the corresponding daily budget cost; The data dashboard module also includes a purchased product analysis module. This module tracks other products related to the advertised product during the advertising sales process based on the purchased advertised product. It records the sales volume and sales percentage of the advertised product and each related product through a list of related products. When the sales volume of the advertised product is less than the sales volume of the related products, the target audience of the advertising campaign is automatically adjusted to the related product with the highest sales volume. (3) The advertising log module is used to record and display the operation records of each advertising campaign; (4) The advertising price adjustment module includes a time-sharing price adjustment dashboard, which is used to view and adjust the advertising strategy of the corresponding advertising campaign. The adjustment methods of the advertising strategy include increasing the advertising budget during periods of insufficient budget in peak order periods and reducing the advertising cost during non-peak order periods. The method includes: Step K1: Create multiple advertising campaigns through the advertising management module and set the advertising strategy for each campaign based on the estimated advertising revenue; Step K2: Create a price adjustment template through the advertising price adjustment module, and reset the new time-sharing strategy in the price adjustment template; Step K3: Add the advertising campaigns that need price adjustment to the price adjustment template, select some advertising campaigns from the price adjustment template as price adjustment control objects, and update the advertising strategy of the price adjustment control objects according to the time-sharing strategy, the time-sharing strategy including advertising type, bidding strategy, advertising budget and advertising time; Step K4: After the partial advertising campaign has been operating according to the time-sharing strategy for a period of time, determine whether the actual advertising revenue of the partial advertising campaign has reached the estimated advertising revenue: Step K41: When the actual advertising revenue of the partial advertising campaign reaches the estimated advertising revenue, apply the advertising strategy that achieves the estimated advertising revenue to the target audience group that needs to be advertised in batches. Step K42: When the actual advertising revenue of the aforementioned advertising campaigns does not reach the estimated advertising revenue, based on the advertising data of the advertising campaign list, the data dashboard module, and the advertising log module, the advertising strategy of the pricing template is readjusted through the advertising pricing module. The adjustment of the advertising strategy includes increasing the advertising budget during periods of insufficient budget in peak order periods and reducing the advertising cost during non-peak order periods. Step K5: Repeat the operation of step K4 until the actual advertising revenue of the corresponding advertising campaign after the adjusted advertising strategy is implemented reaches the estimated advertising revenue.

2. A time-based price adjustment system for the advertising module of an e-commerce ERP system, characterized in that, The time-sharing pricing system includes the advertising module described in claim 1 and performs the operations described in claim 1.

3. The time-sharing pricing system as described in claim 2, characterized in that, The advertising price adjustment module also includes a template management module, which is used to create one or more price adjustment templates. The created price adjustment templates are automatically recorded in the price adjustment template list of the template management module. The price adjustment template list is used to edit the price adjustment templates to modify their content.

4. The time-sharing pricing system as described in claim 3, characterized in that, The price adjustment template list is used to display one or more fields from the price adjustment template's name, number of applications, strategy rules, last modification time, last modifier, and store to which it belongs; The "application quantity" refers to the number of advertising campaigns whose advertising strategies have been updated in the price adjustment template, and the "strategy rule field" displays the specific time period and corresponding new budget of the price adjustment template.

5. The time-sharing pricing system as described in claim 3, characterized in that, The price adjustment template list has a price adjustment template copy function. When creating a price adjustment template, the specific time period information and corresponding new budget information in the created price adjustment template can be copied. After copying a created price adjustment template, the price adjustment template list interface will switch to a new price adjustment template interface, and the specific time period information and corresponding new budget information in the copied price adjustment template will be automatically entered in the new price adjustment template.

6. The time-sharing pricing system as described in claim 3, characterized in that, The price adjustment template has two price adjustment modes: daily setting and weekly setting. The two price adjustment modes correspond to the daily time period selection table and the weekly time period selection table, respectively. The daily time slot selection table has a continuous time slot from 0:00 to 24:

00. By selecting the corresponding time slot and entering the corresponding new budget, the time slot and new budget settings in the daily price adjustment mode can be completed. The weekly time slot selection table has a continuous time slot from 00:00 to 24:00 every day from Monday to Sunday. By selecting the corresponding time slot from Monday to Sunday and entering the corresponding new budget, the time slot and new budget settings in the weekly price adjustment mode can be completed.

7. The time-sharing pricing system as described in claim 6, characterized in that, The price adjustment template can reference data from other price adjustment templates. When other price adjustment template data is selected, the price adjustment template switches to the template management module interface. In the template management module interface, the corresponding price adjustment template is selected and referenced. The time period information and new budget information in the selected price adjustment template can be automatically imported into the currently created or edited price adjustment template.

8. The time-sharing pricing system as described in claim 3, characterized in that, The price adjustment template list has operation fields, through which the advertising campaign can be added to the corresponding price adjustment template; And / or, the price adjustment template list has an operation field, through which the corresponding price adjustment template can be edited or deleted.

9. The time-sharing pricing system as described in claim 2, characterized in that, The advertising price adjustment module includes one or more of a time-based budget adjustment module, a time-based ad slot adjustment module, and a time-based bidding adjustment module. Each of the time-based budget adjustment module, the time-based ad slot adjustment module, and the time-based bidding adjustment module has a corresponding price adjustment template. The time-based budget adjustment module is used to adjust the initial budget according to different time periods. The time-based ad slot adjustment module is used to adjust the initial budget ratio of the ad slot according to different time periods. The time-based bidding adjustment module is used to adjust the bidding strategy of the initial budget according to different time periods.

10. The time-sharing pricing system as described in claim 2, characterized in that, The advertising management module also includes an advertising product list, which automatically records the advertising data of product promotion ads and / or display promotion ads for products that have been added to the advertising product list. The fields of the advertising product list include product information. All advertising campaigns for products that have been added to the advertising product can be filtered according to the ASIN of the advertising product. The advertising list can selectively pause advertising products that do not need to continue to be advertised. And / or, the advertising management module further includes an advertising group list, which automatically records all advertising groups created in the store, and each advertising group contains one or more of the advertising campaigns.

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