A smart advertising method

Abstract

The present invention relates to the field of advertising delivery technology, and in particular to a smart advertising delivery method, including: collecting the usage data of users on several e-commerce platforms in the past year and cleaning and preprocessing the collected data; calculating the activity parameters of users on any e-commerce platform in the past year to mark the second-choice e-commerce platform, or determine the e-commerce platform for delivering advertising links; calculating the purchasing power index of users on any two-choice e-commerce platform in the past year to mark the third-choice e-commerce platform, or determine the e-commerce platform for delivering advertising links; extracting the brands of traded goods in the transaction orders of any three-choice e-commerce platform in the past year and comparing them one by one with pre-stored similar brands to determine whether to deliver advertising links, if not, calculating the delivery index to determine the e-commerce platform for delivering advertising links; the advertising delivery module delivers the advertising links of the goods to the determined e-commerce platform. The present invention improves the accuracy and conversion rate of advertising delivery.

Description

Technical Field

[0001] The present invention relates to the technical field of advertisement delivery, and in particular to a smart advertisement delivery method. Background Art

[0002] Currently, in the media advertising industry, all advertising can only be placed on a certain APP. For example, when an e-commerce user places a product in an information flow ad, the landing page can only be selected from Taobao, JD.com, and Pinduoduo.

[0003] But in reality, a customer's willingness to convert is affected by many factors, such as user habits, product categories, regions, activities, etc. For a fixed customer, using big data superimposed model capabilities to guide the customer to an APP with a higher probability of transaction is more conducive to improving the ROI of the merchant's investment, more conducive to customers choosing the products they like, and more conducive to the media to improve operational efficiency, achieving a win-win situation for all parties.

[0004] Chinese Patent Publication No.: CN114827731 B discloses an advertisement delivery system and an advertisement delivery method, the method comprising: obtaining an advertisement video to be played from a third-party platform, and assigning identification information to the advertisement video to be played; reviewing the content of the advertisement video, and after the review is passed, copying the advertisement video to obtain a first advertisement video and a second advertisement video; adding a subtitle file to the first advertisement video; sending the first advertisement video with the added subtitle file and the identification information to the third-party platform for storage; configuring the identification information at the position of the advertisement video to be played, and when playing the advertisement video, requesting the third-party platform to play the first advertisement video corresponding to the identification information according to the identification information.

[0005] However, the prior art does not screen e-commerce platforms based on user consumption data when placing advertising links for products, resulting in low accuracy and conversion rate of advertising. Summary of the invention

[0006] To this end, the present invention provides a smart advertising delivery method to overcome the problem that the prior art does not screen e-commerce platforms based on user consumption data when delivering product advertising links, resulting in low accuracy and conversion rate of advertising delivery.

[0007] To achieve the above object, the present invention provides a smart advertising method, comprising:

[0008] Step S1, the data collection module collects the usage data and consumption data of users on several e-commerce platforms in the past year, wherein the usage data includes the usage time and usage frequency of the users on the e-commerce platforms, and the consumption data includes the total consumption amount and the number of transactions of the users on the e-commerce platforms;

[0009] Step S2, the data processing module cleans and preprocesses the data collected by the data collection module;

[0010] Step S3, the delivery decision module calculates the user's activity parameter on any e-commerce platform according to the usage data, and compares the activity parameter with the activity comparison parameter to preliminarily screen the e-commerce platforms for which the advertisement link is to be delivered, and marks the preliminarily screened e-commerce platforms as second-choice e-commerce platforms;

[0011] Step S4, for the second-selected e-commerce platforms, the delivery decision module calculates the purchasing power index of the user on any second-selected e-commerce platform according to the consumption data, and compares the purchasing power index with the purchasing power comparison parameter to perform a secondary screening of the second-selected e-commerce platforms for advertising links according to the comparison results, and marks the e-commerce platforms screened out of the secondary screening as third-selected e-commerce platforms;

[0012] Step S5, the delivery decision module extracts the brands of the traded goods in the transaction orders of any of the three selected e-commerce platforms in the past year and compares them one by one with the pre-stored similar brands to determine whether to deliver the advertising link. If not, the delivery index of any of the three selected e-commerce platforms is calculated to determine the e-commerce platform that delivers the advertising link;

[0013] Step S6: the advertisement delivery module delivers the advertisement link of the product to the e-commerce platform determined by the delivery decision module.

[0014] Furthermore, the delivery decision module calculates the user's activity parameter on any e-commerce platform in the past year according to the following formula, and sets:

[0015] Among them, F is the activity parameter, T is the average daily usage time of users on the e-commerce platform, T0 is the preset comparison time, P is the average daily usage frequency of users on the e-commerce platform, and P0 is the preset comparison frequency.

[0016] Furthermore, an activity comparison parameter is provided in the delivery decision module, and the delivery decision module compares the user's activity parameter on any e-commerce platform with the activity comparison parameter to mark the second-choice e-commerce platform;

[0017] If there is only one e-commerce platform whose activity parameter is greater than the activity comparison parameter, the delivery decision module determines to deliver the advertisement link to the e-commerce platform;

[0018] If there are at least two e-commerce platforms whose activity parameters are greater than the activity comparison parameter, the delivery decision module determines to mark the e-commerce platform whose activity parameter is greater than the activity comparison parameter as the second choice e-commerce platform;

[0019] If there is no e-commerce platform whose activity parameter is greater than the activity comparison parameter, the delivery decision module determines to mark all e-commerce platforms as second-choice e-commerce platforms.

[0020] Furthermore, the placement decision module calculates the purchasing power index of the user on any two-choice e-commerce platform in the past year according to the following formula, set:

[0021] Among them, Q is the purchasing power index, Z is the total consumption of users on the second-choice e-commerce platform in the past year, Z0 is the preset comparison total consumption, D is the number of transactions made by users on the second-choice e-commerce platform in the past year, and D0 is the preset comparison number of transactions.

[0022] Furthermore, the placement decision module is provided with a first purchasing power comparison parameter and a second purchasing power comparison parameter, the first purchasing power comparison parameter is smaller than the second purchasing power comparison parameter, and the placement decision module compares the purchasing power index of the user on any of the two selected e-commerce platforms with the preset first purchasing power comparison parameter and the second purchasing power comparison parameter to mark the third selected e-commerce platform;

[0023] If there is only one second-choice e-commerce platform whose purchasing power index is greater than the first purchasing power comparison parameter, the delivery decision module determines to deliver the advertisement link to the second-choice e-commerce platform;

[0024] If there is only one second-choice e-commerce platform whose purchasing power index is greater than the second purchasing power comparison parameter, and there is no second-choice e-commerce platform whose purchasing power index is greater than the first purchasing power comparison parameter, the delivery decision module determines to deliver the advertisement link to the second-choice e-commerce platform;

[0025] If there is no second-choice e-commerce platform whose purchasing power index is greater than the first purchasing power comparison parameter, the delivery decision module determines to mark all second-choice e-commerce platforms as third-choice e-commerce platforms.

[0026] Furthermore, if there are at least two second-choice e-commerce platforms whose purchasing power index is greater than the second purchasing power comparison parameter, the second-choice e-commerce platforms whose purchasing power index is greater than the second purchasing power comparison parameter are marked as third-choice e-commerce platforms, and the second-choice e-commerce platforms whose purchasing power index is less than or equal to the second purchasing power comparison parameter and greater than the first purchasing power comparison parameter have transactions in the past year and the transaction amount is obtained to determine whether to mark the corresponding second-choice e-commerce platform as a third-choice e-commerce platform.

[0027] Furthermore, a transaction amount comparison value is provided in the delivery decision module. The delivery decision module counts the number of transaction orders in the past year whose transaction amount is greater than the transaction amount comparison value and calculates the quantity ratio. If the quantity ratio is greater than the preset quantity ratio comparison value, the delivery decision module corrects the corresponding second-choice e-commerce platform purchasing power index to determine whether to mark the corresponding second-choice e-commerce platform as a third-choice e-commerce platform.

[0028] Furthermore, when the placement decision module corrects the corresponding second-choice e-commerce platform purchasing power index, the difference between the quantity proportion and the quantity proportion comparison value is calculated, and the placement decision module is provided with several correction methods for the purchasing power index based on the proportion output value, and each correction method has a different correction range for the purchasing power index;

[0029] If there is a corrected purchasing power index greater than the second purchasing power comparison parameter, the delivery decision module will mark the second-choice e-commerce platform corresponding to the corrected purchasing power index greater than the second purchasing power comparison parameter as the third-choice e-commerce platform.

[0030] Furthermore, the delivery decision module pre-stores a number of similar brands. The delivery decision module extracts the brands of the traded goods in the transaction orders of any of the three-selection e-commerce platforms in the past year and compares them one by one with the pre-stored similar brands, and determines whether to deliver the advertising link according to the comparison results;

[0031] If there is only one e-commerce platform among the three choices whose trading product brand is the same as at least one of the similar brands, the advertising link will be placed on the e-commerce platform;

[0032] If there are at least two of the three-selection e-commerce platforms whose brands of traded goods are the same as at least one of the similar brands, then the delivery index of the corresponding three-selection e-commerce platform is calculated to determine whether to deliver the advertising link;

[0033] If there is no trading product on any of the three selected e-commerce platforms whose brand is the same as the similar brand, the delivery index of each of the three selected e-commerce platforms is calculated to determine whether to deliver the advertising link.

[0034] Furthermore, the delivery decision module calculates the delivery index of the three selected e-commerce platforms according to the following formula, setting:

[0035] Among them, X is the delivery index, N is the number of brands of transaction products on the three-selection e-commerce platform that are the same as the similar brands, N0 is the preset comparison number, and α, β, and γ are the corresponding weight coefficients;

[0036] The delivery decision module delivers the advertisement link to the three selected e-commerce platforms corresponding to the maximum delivery index.

[0037] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention calculates the activity parameter, which is a representative parameter of the user's activity on any e-commerce platform. The longer the user's average daily usage time on the e-commerce platform and the higher the average daily usage frequency, the higher the user's activity on the corresponding e-commerce platform. The present invention calculates the activity parameter and sets the activity comparison parameter, and screens the e-commerce platforms for activity according to the comparison results of the activity parameter and the activity comparison parameter, thereby improving the efficiency and accuracy of the e-commerce platform screening, thereby improving the accuracy and conversion rate of advertising.

[0038] Furthermore, the present invention calculates the purchasing power index of the user on any two-choice e-commerce platform. The purchasing power index is a representative parameter of the purchasing power of the user on the two-choice e-commerce platform, which is used to characterize the purchasing power and willingness of the user on the two-choice e-commerce platform. By calculating the purchasing power index, the e-commerce platforms for pre-placed advertising links are screened again, thereby further improving the accuracy and conversion rate of advertising placement.

[0039] Furthermore, the present invention counts the number of transaction orders in the past year whose transaction amounts are greater than the transaction amount comparison value and calculates the number ratio, and corrects the corresponding second-choice e-commerce platform purchasing power index when the number ratio is greater than the preset number ratio comparison value to determine whether to mark the corresponding second-choice e-commerce platform as a third-choice e-commerce platform. Since the transaction amount in the transaction order can well represent the purchasing power of the user, the purchasing power index is corrected by the number of transaction orders in the past year whose transaction amounts are greater than the transaction amount comparison value, so that the screening of the third-choice e-commerce platforms is more refined, thereby further improving the efficiency and accuracy of the e-commerce platform screening, thereby improving the accuracy and conversion rate of advertising.

[0040] Furthermore, the present invention pre-stores a number of similar brands, extracts the brands of the traded goods in the transaction orders of any of the three-choice e-commerce platforms in the past year, and compares them one by one with the pre-stored similar brands to determine whether to place an advertising link. Through the above technical solution, the user's brand preference is determined, thereby further improving the efficiency and accuracy of the e-commerce platform screening, thereby improving the accuracy and conversion rate of advertising placement.

[0041] Furthermore, the present invention calculates a delivery index, which is used to characterize whether to deliver advertisements to the three selected e-commerce platforms. The present invention screens the e-commerce platforms for advertisement delivery based on multiple considerations, and finally selects the three selected e-commerce platforms corresponding to the maximum delivery index for advertisement link delivery, thereby further improving the efficiency and accuracy of e-commerce platform screening, thereby improving the accuracy and conversion rate of advertisement delivery. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1A flow chart of a smart advertising delivery method according to an embodiment of the present invention;

[0043] Figure 2 This is a flow chart of step S3 in the smart advertising delivery method according to an embodiment of the present invention;

[0044] Figure 3 This is a flow chart of step S4 in the smart advertising delivery method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0046] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0047] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0048] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0049] See also Figures 1 to 3 As shown, the smart advertising delivery method of the present invention includes:

[0050] Step S1, the data collection module collects the usage data and consumption data of users on several e-commerce platforms in the past year, wherein the usage data includes the usage time and usage frequency of the users on the e-commerce platforms, and the consumption data includes the total consumption amount and the number of transactions of the users on the e-commerce platforms;

[0051] Step S2, the data processing module cleans and preprocesses the data collected by the data collection module;

[0052] Step S3, the delivery decision module calculates the user's activity parameter on any e-commerce platform according to the usage data, and compares the activity parameter with the activity comparison parameter to preliminarily screen the e-commerce platforms for which the advertisement link is to be delivered, and marks the preliminarily screened e-commerce platforms as second-choice e-commerce platforms;

[0053] Step S4, for the second-selected e-commerce platforms, the delivery decision module calculates the purchasing power index of the user on any second-selected e-commerce platform according to the consumption data, and compares the purchasing power index with the purchasing power comparison parameter to perform a secondary screening of the second-selected e-commerce platforms for advertising links according to the comparison results, and marks the e-commerce platforms screened out of the secondary screening as third-selected e-commerce platforms;

[0054] Step S5, the delivery decision module extracts the brands of the traded goods in the transaction orders of any of the three selected e-commerce platforms in the past year and compares them one by one with the pre-stored similar brands to determine whether to deliver the advertising link. If not, the delivery index of any of the three selected e-commerce platforms is calculated to determine the e-commerce platform that delivers the advertising link;

[0055] Step S6: the advertisement delivery module delivers the advertisement link of the product to the e-commerce platform determined by the delivery decision module.

[0056] Specifically, the step S3 includes:

[0057] Step S31, the delivery decision module calculates the user's activity parameter on any e-commerce platform in the past year according to the following formula, and sets:

[0058] Among them, F is the activity parameter, T is the average daily usage time of users on the e-commerce platform, T0 is the preset comparison time, P is the average daily usage frequency of users on the e-commerce platform, and P0 is the preset comparison frequency.

[0059] The present invention calculates an activity parameter, which is a representative parameter of the activity of a user on any e-commerce platform. When the average daily usage time of a user on an e-commerce platform is longer and the average daily usage frequency is higher, it means that the user is more active on the corresponding e-commerce platform. The present invention calculates the activity parameter and sets the activity comparison parameter, and screens the e-commerce platforms for activity according to the comparison results of the activity parameter and the activity comparison parameter, thereby improving the efficiency and accuracy of the screening of the e-commerce platforms, thereby improving the accuracy and conversion rate of advertising.

[0060] Step S32: an activity comparison parameter is set in the delivery decision module, and the delivery decision module compares the user's activity parameter on any e-commerce platform with the activity comparison parameter to mark the second-selected e-commerce platform;

[0061] If there is only one e-commerce platform whose activity parameter is greater than the activity comparison parameter, the delivery decision module determines to deliver the advertisement link to the e-commerce platform;

[0062] If there are at least two e-commerce platforms whose activity parameters are greater than the activity comparison parameter, the delivery decision module determines to mark the e-commerce platform whose activity parameter is greater than the activity comparison parameter as the second choice e-commerce platform;

[0063] If there is no e-commerce platform whose activity parameter is greater than the activity comparison parameter, the delivery decision module determines to mark all e-commerce platforms as second-choice e-commerce platforms.

[0064] Specifically, step S4 includes:

[0065] Step S41, the placement decision module calculates the purchasing power index of the user on any two selected e-commerce platforms in the past year according to the following formula, setting

[0066]

[0067] Among them, Q is the purchasing power index, Z is the total consumption of users on the second-choice e-commerce platform in the past year, Z0 is the preset comparison total consumption, D is the number of transactions made by users on the second-choice e-commerce platform in the past year, and D0 is the preset comparison number of transactions.

[0068] The present invention calculates the purchasing power index of the user on any two-choice e-commerce platform. The purchasing power index is a representative parameter of the purchasing power of the user on the two-choice e-commerce platform, and is used to characterize the purchasing power and purchasing willingness of the user on the two-choice e-commerce platform. By calculating the purchasing power index, the e-commerce platforms for pre-placed advertising links are screened again, thereby further improving the accuracy and conversion rate of advertising placement.

[0069] Step S42: the delivery decision module is provided with a first purchasing power comparison parameter and a second purchasing power comparison parameter, the first purchasing power comparison parameter is smaller than the second purchasing power comparison parameter, and the delivery decision module compares the purchasing power index of the user on any of the two selected e-commerce platforms with the preset first purchasing power comparison parameter and the second purchasing power comparison parameter to mark the third selected e-commerce platform;

[0070] If there is only one second-choice e-commerce platform whose purchasing power index is greater than the first purchasing power comparison parameter, the delivery decision module determines to deliver the advertisement link to the second-choice e-commerce platform;

[0071] If there is only one second-choice e-commerce platform whose purchasing power index is greater than the second purchasing power comparison parameter, and there is no second-choice e-commerce platform whose purchasing power index is greater than the first purchasing power comparison parameter, the delivery decision module determines to deliver the advertisement link to the second-choice e-commerce platform;

[0072] If there is no second-choice e-commerce platform whose purchasing power index is greater than the first purchasing power comparison parameter, the delivery decision module determines to mark all second-choice e-commerce platforms as third-choice e-commerce platforms.

[0073] Specifically, if there are at least two second-choice e-commerce platforms whose purchasing power index is greater than the second purchasing power comparison parameter, the second-choice e-commerce platforms whose purchasing power index is greater than the second purchasing power comparison parameter will be marked as third-choice e-commerce platforms, and the second-choice e-commerce platforms whose purchasing power index is less than or equal to the second purchasing power comparison parameter and greater than the first purchasing power comparison parameter will have their transaction orders in the past year extracted and the transaction amount obtained to determine whether to mark the corresponding second-choice e-commerce platform as a third-choice e-commerce platform.

[0074] Specifically, a transaction amount comparison value is provided in the delivery decision module. The delivery decision module counts the number of transaction orders in the past year whose transaction amount is greater than the transaction amount comparison value and calculates the quantity ratio. If the quantity ratio is greater than the preset quantity ratio comparison value, the delivery decision module corrects the corresponding second-choice e-commerce platform purchasing power index to determine whether to mark the corresponding second-choice e-commerce platform as a third-choice e-commerce platform.

[0075] In this embodiment, the quantity ratio is the ratio of the number of transaction orders in the past year whose transaction amount is greater than the transaction amount comparison value to the number of transaction orders in the past year.

[0076] The present invention counts the number of transaction orders in the past year whose transaction amounts are greater than the transaction amount comparison value and calculates the number ratio, and corrects the purchasing power index of the corresponding second-choice e-commerce platform when the number ratio is greater than the preset number ratio comparison value to determine whether to mark the corresponding second-choice e-commerce platform as a third-choice e-commerce platform. Since the transaction amount in the transaction order can well represent the purchasing power of the user, the purchasing power index is corrected by the number of transaction orders in the past year whose transaction amounts are greater than the transaction amount comparison value, so that the screening of the third-choice e-commerce platform is more refined, thereby further improving the efficiency and accuracy of the e-commerce platform screening, thereby improving the accuracy and conversion rate of advertising.

[0077] Specifically, when the placement decision module corrects the corresponding second-choice e-commerce platform purchasing power index, the difference between the quantity proportion and the quantity proportion comparison value is calculated. The placement decision module is provided with several correction methods for the purchasing power index based on the proportion output value, and each correction method has a different correction range for the purchasing power index;

[0078] If there is a corrected purchasing power index greater than the second purchasing power comparison parameter, the delivery decision module will mark the second-choice e-commerce platform corresponding to the corrected purchasing power index greater than the second purchasing power comparison parameter as the third-choice e-commerce platform.

[0079] Specifically, the delivery decision module pre-stores a number of similar brands. The delivery decision module extracts the brands of the traded goods in the transaction orders of any of the three e-commerce platforms in the past year and compares them one by one with the pre-stored similar brands, and determines whether to deliver the advertising link according to the comparison results;

[0080] If there is only one e-commerce platform among the three choices whose trading product brand is the same as at least one of the similar brands, the advertising link will be placed on the e-commerce platform;

[0081] If there are at least two of the three-selection e-commerce platforms whose brands of traded goods are the same as at least one of the similar brands, then the delivery index of the corresponding three-selection e-commerce platform is calculated to determine whether to deliver the advertising link;

[0082] If there is no trading product on any of the three selected e-commerce platforms whose brand is the same as the similar brand, the delivery index of each of the three selected e-commerce platforms is calculated to determine whether to deliver the advertising link.

[0083] The present invention pre-stores a number of similar brands, extracts the brands of traded goods in the transaction orders of any of the three-choice e-commerce platforms in the past year, and compares them one by one with the pre-stored similar brands to determine whether to place an advertising link. Through the above technical solution, the user's brand preference is determined, thereby further improving the efficiency and accuracy of the e-commerce platform screening, thereby improving the accuracy and conversion rate of advertising placement.

[0084] In this embodiment, the similar brand is a brand that is similar to the brand of the product linked to the placed advertisement, and is specifically set according to needs.

[0085] Specifically, the delivery decision module calculates the delivery index of the three selected e-commerce platforms according to the following formula, setting:

[0086] Among them, X is the delivery index, N is the number of brands of transaction products on the three-selection e-commerce platform that are the same as the similar brands, N0 is the preset comparison number, and α, β, and γ are the corresponding weight coefficients;

[0087] The delivery decision module delivers the advertisement link to the three selected e-commerce platforms corresponding to the maximum delivery index.

[0088] In this embodiment, the values ​​of α, β, and γ are 0-1, and α+β+γ=1.

[0089] The present invention calculates the delivery index, which is used to characterize whether to deliver advertisements to three selected e-commerce platforms. The present invention screens the e-commerce platforms for advertisement delivery by considering multiple factors, and finally selects the three selected e-commerce platforms corresponding to the maximum delivery index for advertisement link delivery, thereby further improving the efficiency and accuracy of e-commerce platform screening, thereby improving the accuracy and conversion rate of advertisement delivery.

[0090] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0091] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart advertising method, characterized in that: include: Step S1, the data collection module collects the usage data and consumption data of users on several e-commerce platforms in the past year, wherein the usage data includes the usage time and usage frequency of the users on the e-commerce platforms, and the consumption data includes the total consumption amount and the number of transactions of the users on the e-commerce platforms; Step S2, the data processing module cleans and preprocesses the data collected by the data collection module; Step S3, the delivery decision module calculates the user's activity parameter on any e-commerce platform according to the usage data, and compares the activity parameter with the activity comparison parameter to preliminarily screen the e-commerce platforms for which the advertisement link is to be delivered, and marks the preliminarily screened e-commerce platforms as second-choice e-commerce platforms; Step S4, for the second-selected e-commerce platforms, the delivery decision module calculates the purchasing power index of the user on any second-selected e-commerce platform according to the consumption data, and compares the purchasing power index with the purchasing power comparison parameter to perform a secondary screening of the second-selected e-commerce platforms for advertising links according to the comparison results, and marks the e-commerce platforms screened out of the secondary screening as third-selected e-commerce platforms; Step S5, the delivery decision module extracts the brands of the traded goods in the transaction orders of any of the three selected e-commerce platforms in the past year and compares them one by one with the pre-stored similar brands to determine whether to deliver the advertising link. If not, the delivery index of any of the three selected e-commerce platforms is calculated to determine the e-commerce platform that delivers the advertising link; Step S6, the advertising delivery module delivers the product's advertising link to the e-commerce platform determined by the delivery decision module; The delivery decision module calculates the user's activity parameter on any e-commerce platform in the past year according to the following formula, set: ; Among them, F is the activity parameter, T is the average daily usage time of users on the e-commerce platform, T0 is the preset comparison time, P is the average daily usage frequency of users on the e-commerce platform, and P0 is the preset comparison frequency; The delivery decision module is provided with an activity comparison parameter, and the delivery decision module compares the user's activity parameter on any e-commerce platform with the activity comparison parameter to mark the second-choice e-commerce platform; If there is only one e-commerce platform whose activity parameter is greater than the activity comparison parameter, the delivery decision module determines to deliver the advertisement link to the e-commerce platform; If there are at least two e-commerce platforms whose activity parameters are greater than the activity comparison parameter, the delivery decision module determines to mark the e-commerce platform whose activity parameter is greater than the activity comparison parameter as the second choice e-commerce platform; If there is no e-commerce platform whose activity parameter is greater than the activity comparison parameter, the delivery decision module determines to mark all e-commerce platforms as second-choice e-commerce platforms.

2. The smart advertising method according to claim 1, characterized in that: The placement decision module calculates the purchasing power index of users on any two-choice e-commerce platform in the past year according to the following formula, set: ; Among them, Q is the purchasing power index, Z is the total consumption of users on the second-choice e-commerce platform in the past year, Z0 is the preset comparison total consumption, D is the number of transactions made by users on the second-choice e-commerce platform in the past year, and D0 is the preset comparison number of transactions.

3. The smart advertising method according to claim 2, characterized in that: The placement decision module is provided with a first purchasing power comparison parameter and a second purchasing power comparison parameter, the first purchasing power comparison parameter is smaller than the second purchasing power comparison parameter, and the placement decision module compares the purchasing power index of the user on any of the two selected e-commerce platforms with the preset first purchasing power comparison parameter and the second purchasing power comparison parameter to mark the third selected e-commerce platform; If there is only one second-choice e-commerce platform whose purchasing power index is greater than the first purchasing power comparison parameter, the delivery decision module determines to deliver the advertisement link to the second-choice e-commerce platform; If there is only one second-choice e-commerce platform whose purchasing power index is greater than the second purchasing power comparison parameter, and there is no second-choice e-commerce platform whose purchasing power index is greater than the first purchasing power comparison parameter, the delivery decision module determines to deliver the advertisement link to the second-choice e-commerce platform; If there is no second-choice e-commerce platform whose purchasing power index is greater than the first purchasing power comparison parameter, the delivery decision module determines to mark all second-choice e-commerce platforms as third-choice e-commerce platforms.

4. The smart advertising method according to claim 3, characterized in that: If there are at least two second-choice e-commerce platforms whose purchasing power index is greater than the second purchasing power comparison parameter, the second-choice e-commerce platforms whose purchasing power index is greater than the second purchasing power comparison parameter will be marked as third-choice e-commerce platforms, and the second-choice e-commerce platforms whose purchasing power index is less than or equal to the second purchasing power comparison parameter and greater than the first purchasing power comparison parameter will have their transaction orders in the past year extracted and the transaction amount obtained to determine whether to mark the corresponding second-choice e-commerce platform as a third-choice e-commerce platform.

5. The smart advertising method according to claim 4, characterized in that: A transaction amount comparison value is provided in the delivery decision module. The delivery decision module counts the number of transaction orders in the past year whose transaction amount is greater than the transaction amount comparison value and calculates the quantity ratio. If the quantity ratio is greater than the preset quantity ratio comparison value, the delivery decision module corrects the corresponding second-choice e-commerce platform purchasing power index to determine whether to mark the corresponding second-choice e-commerce platform as a third-choice e-commerce platform.

6. The smart advertising method according to claim 5, characterized in that: When the placement decision module corrects the corresponding second-choice e-commerce platform purchasing power index, the difference between the quantity proportion and the quantity proportion comparison value is calculated, and the placement decision module is provided with several correction methods for the purchasing power index based on the difference in proportion, and each correction method has a different correction range for the purchasing power index; If there is a corrected purchasing power index greater than the second purchasing power comparison parameter, the delivery decision module will mark the second-choice e-commerce platform corresponding to the corrected purchasing power index greater than the second purchasing power comparison parameter as the third-choice e-commerce platform.

7. The smart advertising method according to claim 6, characterized in that: The delivery decision module pre-stores a number of similar brands. The delivery decision module extracts the brands of the traded goods in the transaction orders of any of the three e-commerce platforms in the past year and compares them one by one with the pre-stored similar brands, and determines whether to deliver the advertising link according to the comparison results; If there is only one e-commerce platform among the three choices whose trading product brand is the same as at least one of the similar brands, the advertising link will be placed on the e-commerce platform; If there are at least two of the three-selection e-commerce platforms whose brands of traded goods are the same as at least one of the similar brands, then the delivery index of the corresponding three-selection e-commerce platform is calculated to determine whether to deliver the advertising link; If there is no trading product on any of the three selected e-commerce platforms whose brand is the same as the similar brand, the delivery index of each of the three selected e-commerce platforms is calculated to determine whether to deliver the advertising link.

8. The smart advertising method according to claim 7, characterized in that: The delivery decision module calculates the delivery index of the three selected e-commerce platforms according to the following formula, setting: ; Among them, X is the delivery index, N is the number of brands of transaction products on the three-selection e-commerce platform that are the same as the similar brands, N0 is the preset comparison number, and α, β, and γ are the corresponding weight coefficients; The delivery decision module delivers the advertisement link to the three selected e-commerce platforms corresponding to the maximum delivery index.

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