Marketing activity management system and management analysis method thereof

Abstract

The invention discloses a marketing activity management system and a management analysis method thereof, and relates to the field of marketing activity management systems.According to the marketing activity management system and the management analysis method thereof, core elements of a marketing activity YCH target are quantified, the COS is calculated, more reasonable decisions can be made quickly, and the marketing activity is improved. Real-time data monitoring and collection ensure the timeliness and accuracy of data, provide powerful support for optimization and adjustment of marketing activities, help to improve the marketing effect, automatically complete data collection and arrangement, and reduce the working intensity; the actual performance of the marketing activity YCH in the historical data is compared with the expected target of the marketing activity YCH target published at this time, a reminding value is calculated, an alarm is given when the reminding value reaches a certain threshold value, potential risks are early warned in advance, potential problems of the marketing activity YCH target are found in advance, reminding is carried out, and the risk of the marketing activity YCH is reduced.

Description

Technical Field

[0001] The present invention relates to the field of marketing activity management systems, and in particular to a marketing activity management system and a management and analysis method thereof. Background Art

[0002] With the rapid development of e-commerce, the management of e-commerce marketing activities is particularly important. Traditional e-commerce companies directly operate e-commerce apps through merchants and publish marketing activities through e-commerce apps. With the development of technology, many systems that can access e-commerce apps and assist merchants in managing marketing activities have emerged. Their main work is to be able to access e-commerce apps, and merchants only need to log in to the marketing activity management system and use the system's built-in marketing activity templates or the materials provided by the system to quickly and conveniently formulate and publish marketing activities. After the marketing activities are published, the system can use protocols, interfaces or crawler technology to automatically obtain the marketing data of the merchants' marketing activities in the e-commerce app, and summarize and display them in charts, which greatly facilitates the operation of merchants' e-commerce marketing activities and improves the efficiency and accuracy of merchants' marketing work; According to the patent disclosed in the existing announcement number CN109492864B, a marketing activity management system and its management and analysis method can plan or participate in activities for various end users, so that non-professional marketers can plan and monitor marketing activities and achieve accurate marketing. It has strong universality; and the system has a management end module that can provide real-time and accurate data to managers, so that they can make scientific decisions based on the data; As disclosed in the above patent, the marketing activity management system in the prior art can realize auxiliary planning of marketing activities and acquisition and analysis of marketing data, but it still has certain limitations: The existing marketing campaign management system can only assist merchants in completing the formulation and editing of marketing campaigns by providing marketing campaign materials or marketing campaign templates. However, since it is unable to collect the historical marketing campaign data of each merchant, after the merchant formulates and edits the marketing campaign, it is unable to provide the merchant with historical data that is relatively similar to the marketing campaign formulated by the merchant for use in formulating marketing campaign decisions. As a result, when users launch marketing campaigns, they can only judge the execution of marketing campaigns based on experience or by retrieving relevant data on their own. The marketing effect cannot be effectively guaranteed, and the workload of merchants cannot be reduced more effectively. Summary of the invention

[0003] The purpose of the present invention is to provide a marketing activity management system and its management and analysis method that can provide target publishers with references based on historical data, provide strong support for the optimization and adjustment of marketing activities, help improve marketing effects, and reduce the workload of target publishers.

[0004] In order to solve the problems existing in the prior art, the technical solution of the present invention is as follows: A marketing activity management and analysis method specifically comprises the following steps: A1. Target publishers complete marketing activities through editing modules YCH 目标 When developing, the editing module extracts the marketing activity YCH 目标 The core elements are processed to obtain the element package YS 目标 Store to cache unit, marketing activity YCH 目标 Publish via the Edit module; A2. Marketing Activities YCH 目标 When the release enters the execution phase, the data capture module will 目标 Real-time data monitoring and collection, capture marketing data XS and transmit it to the processor module, the processor module processes the marketing data XS to obtain data packets SJ 目标 Write to main memory unit; A3. Marketing Activities YCH 目标 At the end, the processor module extracts the element package YS from the editing module 目标 Write to the main memory unit and package the element YS 目标 With data packet SJ 目标 The marketing merge package x is obtained by integration, and all the marketing merge packages x in the main storage unit form a data set X; A4. The editing module accepts the instructions of the target publisher to complete the marketing activities YCH 目标 When editing, the processor module calls the element package YS 目标 , according to the element package YS 目标 And the analysis of data set X obtains the audit control data sh from data set X and sends it to the editing module to provide the target publisher with marketing activities YCH 目标 Review reference before publishing.

[0005] Preferably, the processing of the core elements in step A1 specifically includes the following steps: A11. The core elements specifically include category data PL, audience age data SZ, audience gender data XB, estimated total sales data YX, pricing strategy data DJ, and media advertising investment cost data MT. The editing module quantifies all core elements except category data PL. A12. Encapsulate the category data PL and the quantified values ​​of the core elements obtained through quantification to obtain the element package YS 目标=(PL, SZ`, XB`, YX`, DJ`, MT`), SZ` represents the quantitative value of audience age data SZ, XB` represents the quantitative value of audience gender data XB, YX` represents the quantitative value of estimated total sales data YX, DJ` represents the quantitative value of pricing strategy data DJ, MT` represents the quantitative value of media advertising investment cost MT.

[0006] Preferably, the step A4 specifically comprises the following steps: A41, the processor module retrieves the marketing activity YCH from the cache unit 目标 The elements of the package YS 目标 Analyze and obtain marketing activities YCH 目标 Category data PL; A42. Filter out data related to marketing activity YCH from data set X 目标 Marketing merge package x with the same category data PL, marked as filter package sxu, marketing campaign YCH 目标 The elements of the package YS 目标 Recorded as the first element packet, filter the element packet YS of the data packet sxu 目标 Recorded as the second element package; A43, the processor module calculates the similarity value COS between the first element package and the second element package according to the quantized values ​​of the core elements in the first element package and the second element package; A44. Arrange all second factor packages in descending order according to the numerical values ​​of similarity value COS; A45. According to the setting, the screening data package sxu to which the second element package ranked in the top Z in the arrangement belongs is selected as the audit comparison data sh, and the audit comparison data sh is extracted and sent to the editing module for the target publishing personnel to review; A46. The target release personnel will check the audit control data sh and decide whether to continue to release the marketing activity YCH 目标 Otherwise, re-evaluate the marketing activities 目标 Make adjustments, if yes, then confirm to carry out marketing activities YCH 目标 publishing work.

[0007] Preferably, the calculation of the similarity value COS in step A43 specifically includes the following steps: A431. Select all the quantized values ​​in the first element package to establish a vector α. The expression of vector α is as follows: ; Select all the quantized values ​​in the second element package to establish vector β. The expression of vector β is as follows: ; A432. The cosine similarity between vector α and vector β is calculated using the following formula. The cosine similarity between vector α and vector β is the similarity value COS between the first element package and the second element package. The formula is as follows: ; Among them represents the i-th element in vector α, Represents the i-th element in the vector β.

[0008] Preferably, the data capture module obtains the marketing data XS of the marketing activities on the e-commerce APP through API interface technology, crawler technology, data cooperation form or a combination thereof, and the editing module realizes docking with the e-commerce APP through API interface technology, and the marketing activity YCH edited by the editing module 目标 After confirming the release, publish it to the e-commerce APP for execution.

[0009] Preferably, the marketing data XS at least includes actual order quantity DDL.

[0010] Preferably, the method further comprises the following steps: A5. The processor module obtains the actual order quantity DDL in the audit comparison data sh, and calculates the reminder value TXZ accordingly. When the reminder value TXZ is greater than or equal to the set value Q, the processor module sends an alarm to the editing module.

[0011] Preferably, the reminder value TXZ is calculated using the following formula: ; Among them, YX 目标 Indicates marketing activities YCH 目标 Estimated total sales data, DDL k represents the actual order quantity in the kth audit comparison data sh, and y represents the total number of audit comparison data sh.

[0012] The present invention also provides a marketing activity management system, which is used for the above-mentioned marketing activity management and analysis method to perform marketing activity management and analysis, including a processor module, an editing module, a data capture module and a main memory unit. The editing module is used for target publishing personnel to edit and publish marketing activities, the processor module is used to perform data processing and calculation work, the data capture module is used to obtain marketing data XS of the marketing activity YCH, and the main memory unit is used to store data.

[0013] Preferably, the editing module has a submodule cache unit under its jurisdiction.

[0014] Compared with the related art, the present invention has the following beneficial effects: 1. Through quantitative marketing activities YCH 目标The core elements of the target release are analyzed and the similarity COS is calculated, providing a reference based on historical data for the target release personnel, which helps to make more reasonable decisions quickly. Real-time data monitoring and collection ensure the timeliness and accuracy of the data, providing strong support for the optimization and adjustment of marketing activities, and helping to improve marketing effects. The data collection and collation are completed automatically, which reduces the workload of the target release personnel. 2. Based on the actual performance of the marketing activity YCH in historical data (such as actual order volume DDL) and the marketing activity YCH released this time 目标 The expected target is compared, the reminder value is calculated and an alarm is issued when a certain threshold (i.e. the set data Q) is reached, warning of potential risks in advance. Through the risk warning and alarm mechanism, marketing activities YCH can be discovered in advance 目标 Potential problems and the ability to alert target publishers can help reduce marketing campaign YCH 目标 risks, and ensure the smooth progress of marketing activities YCH; 3. The system integrates marketing activities YCH 目标 It has realized the automation and integration of the entire process, including editing, publishing, data processing, similarity analysis, risk warning, etc., and greatly improved management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a schematic diagram of a method according to Embodiment 1 of the present invention; Figure 2 It is a schematic diagram of the process of the present invention; Figure 3 This is a schematic diagram of Embodiment 3 of the present invention; Figure 4 This is a schematic diagram of a method according to Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments.

[0017] For example, see Figure 1 and Figure 2 This embodiment provides a marketing activity management and analysis method, which specifically includes the following steps: A1. Target publishers complete marketing activities through editing modules YCH 目标 When developing, the editing module extracts the marketing activity YCH 目标 The core elements are processed to obtain the element package YS 目标 Store to cache unit, marketing activity YCH 目标 Publish via the Edit module; The editing module connects with the e-commerce APP through API interface technology, and the marketing activities YCH edited by the editing module 目标 After the release is confirmed, it is released to the e-commerce APP for execution; the connection between third-party software and e-commerce APP is an existing mature technology, so it will not be elaborated here; The processing of core elements specifically includes the following steps: A11. The core elements specifically include category data PL, audience age data SZ, audience gender data XB, estimated total sales data YX, pricing strategy data DJ, and media advertising investment cost data MT. The editing module quantifies all core elements except category data PL. A12. Encapsulate the category data PL and the quantified values ​​of the core elements obtained through quantification to obtain the element package YS=(PL, SZ`, XB`, YX`, DJ`, MT`), where SZ` represents the quantified value of the audience age data SZ, XB` represents the quantified value of the audience gender data XB, YX` represents the quantified value of the estimated total sales data YX, DJ` represents the quantified value of the pricing strategy data DJ, and MT` represents the quantified value of the media advertising investment cost MT; The quantification of core elements includes the following: The quantification of audience age data SZ adopts segmented quantification, and the specific quantification is shown in Table 1 below: Table 1: Audience age data segmentation table

[0018] The quantification of audience gender data XB divides gender into two categories: male and female, and assigns different quantitative values ​​to each category. The specific quantitative values ​​are shown in Table 2 below: Table 2: Quantitative table of audience gender data

[0019] The quantitative value of the estimated total sales data YX directly takes the numerical value of the estimated total sales data YX as the quantitative value; The quantitative value of pricing strategy data DJ is shown in Table 3 below: Table 3: Pricing strategy data quantification table

[0020] As for the pricing strategy, the definition of high, medium and low pricing strategies is defined by the cost-plus method; Cost-plus method: Based on the unit cost of the product, a certain percentage of gross profit is added to determine the sales price. High pricing means a higher markup rate, which is the ratio of gross profit to the selling price, in order to pursue higher profits; low pricing means a lower markup rate to attract price-sensitive consumers or quickly occupy the market; the high markup rate range, medium markup rate range and low markup rate range are set according to actual conditions, as shown in Table 3. This is the existing technology. When the target publisher formulates the marketing activity YCH through the editing module 目标 When the target publisher enters the marketing activity YCH 目标 The cost and gross profit of the goods sold, the editing module obtains the data comparison table 3 and can automatically determine the pricing strategy; The quantified value of the media advertising investment cost data MT directly takes the numerical value of the media advertising investment cost data MT as the quantified value; For the classification of category data PL, please refer to Table 4 below: Table 4: Category data PL reference table

[0021] Target publishers develop marketing campaigns through the editing module YCH 目标 When the editing module provides Table 4 to the target publisher to select the marketing activity YCH 目标 Category data PL; The specific content and operation methods of the editing module are all existing technologies, so they will not be described here. The target publisher can use the editing module to conduct marketing activities. 目标 When formulating marketing activities, 目标 The core elements are provided to the editing module by the target publisher; A2. Marketing Activities YCH 目标 When the release enters the execution phase, the data capture module will 目标 Real-time data monitoring and collection, capture marketing data XS and transmit it to the processor module, the processor module processes the marketing data XS to obtain data packets SJ 目标 Write to main memory unit; The data capture module obtains the marketing data XS of the marketing activities on the e-commerce APP through API interface technology, crawler technology, data cooperation form or a combination thereof. Similarly, this technology is also an existing mature technology, so it will not be described in detail here; Further explanation of marketing data XS: In actual use, marketing data XS includes 1. Basic sales data: actual sales and actual order volume DDL; 2. Conversion rate data: browsing conversion rate, add-to-cart conversion rate and payment conversion rate; 3. Traffic data: number of visitors, traffic source and traffic quality; 4. User portrait data: user geographical distribution, user age, gender distribution and user behavior analysis; 4. Competitor data; 5. Trend analysis data; The processor module processes the marketing data XS, including data cleaning. Data cleaning specifically includes removing duplicate data, filling missing values, data correction, and data normalization and standardization. The cleaned marketing data XS is packaged to obtain a data package SJ 目标 ; A3. Marketing Activities YCH 目标 At the end, the processor module extracts the element package YS from the editing module 目标 Write to the main memory unit and package the element YS 目标 With data packet SJ 目标 The marketing merge package x is obtained by integration, and all the marketing merge packages x in the main storage unit form a data set X; A4. The editing module accepts the instructions of the target publisher to complete the marketing activities YCH 目标 When editing, the processor module calls the element package YS 目标 , according to the element package YS 目标 And the analysis of data set X obtains the audit control data sh from data set X and sends it to the editing module to provide the target publisher with marketing activities YCH 目标 Review reference before release; The specific steps include: A41, the processor module retrieves the marketing activity YCH from the cache unit 目标 The elements of the package YS 目标 Analyze and obtain marketing activities YCH 目标 Category data PL; A42. Filter out data related to marketing activity YCH from data set X 目标 Marketing merge package x with the same category data PL, marked as filter package sxu, marketing campaign YCH 目标 The elements of the package YS 目标 Recorded as the first element packet, filter the element packet YS of the data packet sxu 目标 Recorded as the second element package; A43, the processor module calculates the similarity value COS between the first element package and the second element package according to the quantized values ​​of the core elements in the first element package and the second element package; The calculation of the similarity value COS specifically includes the following steps: A431. Select all quantized values ​​in the first element package to establish vector α. The expression of vector α is as follows: ; Select all the quantized values ​​of the second element to establish vector β. The expression of vector β is as follows: ; A432. The cosine similarity between vector α and vector β is calculated using the following formula. The cosine similarity between vector α and vector β is the similarity value COS between the first element package and the second element package. The formula is as follows: ; Among them Represents the i-th element in the vector α, indicating The i-th element in the vector β; A44. Arrange all second factor packages in descending order according to the numerical values ​​of similarity value COS; A45. According to the setting, the screening data package sxu belonging to the second element package ranked in the top Z in the arrangement is selected as the audit comparison data sh, and the audit comparison data sh is extracted and sent to the editing module for the target publishing personnel to review; A46. The target release personnel will check the audit control data sh and decide whether to continue to release the marketing activity YCH 目标 Otherwise, re-evaluate the marketing activities 目标 Make adjustments, if yes, then confirm to carry out marketing activities YCH 目标 publishing work.

[0022] Example description: Assume that the target publisher has developed a marketing campaign YCH through the editing module 目标 , the editing module extracts the marketing activity YCH 目标 The core elements are as follows in Table 5: Table 5: Marketing Activities YCH 目标 Core element assumptions

[0023] Get Marketing Activities YCH 目标 The elements of the package YS 目标 = (professional basketball, 3, 1, 0.2, 3, 2), this is the first element package; In summary, marketing activities YCH 目标The category data PL is professional basketball. The marketing merge package x with the category data PL of professional basketball is selected from the data set X and marked as the selected data package sxu. Assuming that three selected data packages sxu are finally selected, the similarity value COS between the second element package and the first element package of each selected data package sxu is calculated as follows: The second element package of the first filtered data package sxu = (professional basketball, 3, 0, 0.15, 2, 1) The similarity value COS between the second element packet of the first screening data packet sxu and the first element packet is calculated as follows: Get vector ;vector ;

[0024] The second element package of the second filtered data package sxu = (professional basketball, 3, 1, 0.1, 3, 1.5) The similarity value COS between the second element packet of the second screening data packet sxu and the first element packet is calculated as follows: Get vector ;vector ;

[0025] The second element package of the third filtered data packet sxu = (professional basketball, 2, 1, 0.2, 3, 2) The similarity value COS between the second element packet and the first element packet of the third screening data packet sxu is calculated as follows: Get vector ;vector ;

[0026] The three second element packets are arranged in descending order according to the numerical value of the similarity value COS: the second element packet of the second screening data packet sxu, the second element packet of the third screening data packet sxu, and the second element packet of the first screening data packet sxu; Set Z to 2, select the first two second element packages in the ranking to which the screening data package sxu belongs, which is the review control data sh and sends it to the editing module cache for the publisher to review. 目标 After publishing, the review control data sh is deleted from the cache unit by the editing module.

[0027] In summary, through quantitative marketing activities YCH 目标The core elements of the target and calculate the similarity COS provide target publishers with a reference based on historical data, which helps to make more reasonable decisions quickly. Real-time data monitoring and collection ensure the timeliness and accuracy of the data, provide strong support for the optimization and adjustment of marketing activities, and help improve marketing effectiveness. The collection and collation of data is completed automatically, which reduces the workload of target publishers.

[0028] For example 2, please refer to Figure 4 This embodiment provides a marketing activity management and analysis method based on the first embodiment, and further includes the following steps: A5. The processor module obtains the actual order quantity DDL in the audit comparison data sh, and calculates the reminder value TXZ based on it. When the reminder value TXZ is greater than or equal to the set value Q, the processor module sends an alarm to the editing module. The reminder value TXZ is calculated using the following formula: ; Among them, YX 目标 Indicates marketing activities YCH 目标 Estimated total sales data, DDL k represents the actual order quantity in the kth audit comparison data sh, and y represents the total number of audit comparison data sh.

[0029] Example description: Assume that there are three audit control data sh, and the actual order quantity DDL in each of them is 1,200 pieces, 1,000 pieces and 1,500 pieces respectively. Assume that the marketing activity YCH 目标 Estimated total sales data YX 目标 The number is 20,000. Substituting the above data into the calculation formula of reminder value TXZ is as follows:

[0030] The value Q is set to 19%, and 38.5%>19%. The calculated reminder value TXZ is greater than the set value Q, so the processor sends a reminder to the editing module to warn the target publisher to carefully refer to the review control data sh and focus on reviewing the marketing activity YCH 目标 , and make adjustments to focus on ensuring that marketing activities are reduced 目标 Risks to ensure marketing activities YCH 目标 The smooth progress.

[0031] For example 3, please refer to Figure 3This embodiment provides a marketing activity management system, which is used by the marketing activity management and analysis methods of the first and second embodiments to perform marketing activity management and analysis, including a processor module, an editing module, a data capture module and a main storage unit. The editing module is used by the target publisher to edit and publish the marketing activity, the processor module is used to perform data processing and calculation, and the data capture module is used to obtain the marketing activity YCH 目标 The marketing data XS, the main memory unit is used to store data, and the editing module has a sub-module cache unit.

[0032] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A marketing activity management and analysis method, characterized in that: The specific steps include: A1. Target publishers complete marketing activities through editing modules YCH 目标 When developing, the editing module extracts the marketing activity YCH 目标 The core elements are processed to obtain the element package YS 目标 Store to cache unit, marketing activity YCH 目标 Publish via the Edit module; A2. Marketing Activities YCH 目标 When the release enters the execution phase, the data capture module will 目标 Real-time data monitoring and collection, capture marketing data XS and transmit it to the processor module, the processor module processes the marketing data XS to obtain data packets SJ 目标 Write to main memory unit; A3. Marketing Activities YCH 目标 At the end, the processor module extracts the element package YS from the editing module 目标 Write to the main memory unit and package the element YS 目标 With data packet SJ 目标 The marketing merge package x is obtained by integration, and all the marketing merge packages x in the main storage unit form a data set X; A4. The editing module accepts the instructions of the target publisher to complete the marketing activities YCH 目标 When editing, the processor module calls the element package YS 目标 , according to the element package YS 目标 And the analysis of data set X obtains the audit control data sh from data set X and sends it to the editing module to provide the target publisher with marketing activities YCH 目标 Review reference before publishing.

2. The marketing activity management and analysis method according to claim 1, characterized in that: The processing of the core elements in step A1 specifically includes the following steps: A11. The core elements specifically include category data PL, audience age data SZ, audience gender data XB, estimated total sales data YX, pricing strategy data DJ, and media advertising investment cost data MT. The editing module quantifies all core elements except category data PL. A12. Encapsulate the category data PL and the quantified values ​​of the core elements obtained through quantification to obtain the element package YS 目标 =(PL, SZ`, XB`, YX`, DJ`, MT`), SZ` represents the quantitative value of audience age data SZ, XB` represents the quantitative value of audience gender data XB, YX` represents the quantitative value of estimated total sales data YX, DJ` represents the quantitative value of pricing strategy data DJ, MT` represents the quantitative value of media advertising investment cost MT.

3. The marketing activity management and analysis method according to claim 2, characterized in that: The step A4 specifically includes the following steps: A41, the processor module retrieves the marketing activity YCH from the cache unit 目标 The elements of the package YS 目标 Analyze and obtain marketing activities YCH 目标 Category data PL; A42. Filter out data related to marketing activity YCH from data set X 目标 Marketing merge package x with the same category data PL, marked as filter package sxu, marketing campaign YCH 目标 The elements of the package YS 目标 Recorded as the first element packet, filter the element packet YS of the data packet sxu 目标 Recorded as the second element package; A43, the processor module calculates the similarity value COS between the first element package and the second element package according to the quantized values ​​of the core elements in the first element package and the second element package; A44. Arrange all second factor packages in descending order according to the numerical values ​​of similarity value COS; A45. According to the setting, the screening data package sxu to which the second element package ranked in the top Z in the arrangement belongs is selected as the audit comparison data sh, and the audit comparison data sh is extracted and sent to the editing module for the target publishing personnel to review; A46. The target release personnel will check the audit control data sh and decide whether to continue to release the marketing activity YCH 目标 Otherwise, re-evaluate the marketing activities 目标 Make adjustments, if yes, then confirm to carry out marketing activities YCH 目标 publishing work.

4. The marketing activity management and analysis method according to claim 3, characterized in that: The calculation of the similarity value COS in step A43 specifically includes the following steps: A431. Select all quantized values ​​in the first element package to establish vector α. The expression of vector α is as follows: ； Select all the quantized values ​​in the second element package to establish vector β. The expression of vector β is as follows: ； A432. The cosine similarity between vector α and vector β is calculated using the following formula. The cosine similarity between vector α and vector β is the similarity value COS between the first element package and the second element package. The formula is as follows: ； Among them represents the i-th element in vector α, Represents the i-th element in the vector β.

5. The marketing activity management and analysis method according to claim 1, characterized in that: The data capture module obtains the marketing data XS of the marketing activities on the e-commerce APP through API interface technology, crawler technology, data cooperation form or a combination thereof. The editing module realizes docking with the e-commerce APP through API interface technology, and the marketing activities YCH edited by the editing module 目标 After confirming the release, publish it to the e-commerce APP for execution.

6. The marketing activity management and analysis method according to claim 4, characterized in that: The marketing data XS at least includes the actual order quantity DDL.

7. The marketing activity management and analysis method according to claim 6, characterized in that: The following steps are also included: A5. The processor module obtains the actual order quantity DDL in the audit comparison data sh, and calculates the reminder value TXZ accordingly. When the reminder value TXZ is greater than or equal to the set value Q, the processor module sends an alarm to the editing module.

8. The marketing activity management and analysis method according to claim 7, characterized in that: The reminder value TXZ is calculated using the following formula: ； Among them, YX 目标 Indicates marketing activities YCH 目标 Estimated total sales data, DDL k represents the actual order quantity in the kth audit comparison data sh, and y represents the total number of audit comparison data sh.

9. A marketing activity management system, used by the marketing activity management and analysis method according to any one of claims 1 to 8 to perform marketing activity management and analysis, characterized in that: It includes a processor module, an editing module, a data capture module and a main memory unit. The editing module is used by target publishers to edit and publish marketing activities. The processor module is used to perform data processing and calculation work. The data capture module is used to obtain marketing data XS of the marketing activity YCH. The main memory unit is used to store data.

10. The marketing activity management system according to claim 9, characterized in that: The editing module has a submodule cache unit under its jurisdiction.

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