TWI750946B - Store advertisement pushing method and system - Google Patents

Abstract

A store advertising push method and system, using blockchain technology to push advertising for stores, an advertising push module will intelligently adjust the advertising push content according to the sales status of the product, and target the stores that have not yet started using the function, the system It will automatically grab the product with the highest number of views among the current store products, and calculate the percentage of the product currently viewed more than other products. Furthermore, an incentive information is displayed in the store management module to attract the store to start advertising. Function; the incentive information indicates how much return rate will be increased if the product’s advertising push function is turned on; for stores that have started to use this function, when the advertising fee is too low, the system will calculate the remaining days of advertising., Let the store store advertising funds as soon as possible to ensure continuous advertising.

Description

Store advertisement push method and system

A store advertisement pushing method and system are used to attract online shopping store owners' willingness to push advertisements of their products on various shopping platforms.

With the popularity of online shopping, online shopping advertising revenue is an important source of funds to maintain the normal operation of most websites. However, store owners have always been skeptical about the effectiveness of website advertisements, because although the website advertises in a specific position on the web page, consumers must click on the link screen of the advertising position to play it completely. However, the method of how to click and play advertisements to link to online shopping orders is the main reason why the effectiveness of webpage advertisements is questioned.

Further, website advertisers lack multiple evaluation parameter data related to the advertising effectiveness for analysis. For example, advertisements published online today and online the next day can often only be paid based on the number of clicks on the advertisement online, which will lead to The advertisements published are suddenly closed due to insufficient advertising fees, so there will be no balance between the payment of fees and the benefits of advertising.

Here, it is a well-known technology to push advertisements through computer systems and network communication. There are many implementation styles in common advertisement push systems. Although each method has its own advantages, it can only be applied to advertisements. It is used when the client actively pushes advertisements, and the advertisement promoter cannot actively publish information to attract the advertisement client to push advertisements.

Therefore, in order to solve the above-mentioned problems, the inventor, after intensive research, proposes an advertisement pushing system and method for attracting the willingness of stores to push advertisements of their products, so that the relevant information of the advertisements can be quickly transmitted to the advertisers.

In view of this, the present invention provides a store advertisement pushing method and system, which utilizes network technology to push advertisements for the store, and displays an incentive information in the store management module to attract the store to activate the advertisement push function; further, when advertising When the money is too low, the system will calculate the remaining days for the advertisement to run, so that the store can store up the advertisement money as soon as possible to ensure the continuous running of the advertisement.

A store advertisement pushing method and system of the present invention is realized through the Internet by using network technology. The system includes: a store management module, which provides multiple stores to easily manage their own multiple products and push them on multiple shopping platforms. advertising; the commodity list stores the commodity information of the commodities in the stores, including: a number of commodity sales and a sales amount; and a commodity advertisement status database, which records the push advertisements of these commodities A number of views, a number of ad clicks, a number of advertising orders, and a push time; a statistical analysis module, which links the store management module and these shopping platforms, and counts the opening of advertisements for these stores and certain products Calculate indicators on each of the shopping platforms when the advertisement is being pushed and when the advertisement is not being pushed, including the total number of views, the total number of clicks on the advertisement, a sales benefit, a conversion rate and a rate of return; and An advertisement push module, linked to the statistical analysis module, is used to attract the willingness of the stores to push the advertisements of the products, including: a push invitation window displayed on the store management module screen, random Rotate the calculation index of the statistical analysis module.

When the advertising amount is not enough for the push advertisement, the advertising push module sends a suggestion message to let the store recharge the advertising amount as soon as possible or readjust the push group of these products become.

Preferably, the statistical analysis module compares the percentage of the sales performance of the product with the highest sales efficiency higher than the sales performance of other products, and displays it in the push window.

Preferably, the statistical analysis module calculates the commodity with the highest viewing number of consumers currently in the commodity list of the store's membership account, calculates the percentage of the commodity with the highest viewing number higher than the viewing number of other commodities, and Displayed in the push invitation window.

Preferably, the system can also provide advice on how much the return rate can be increased if the store enables the advertisement push function of the product with the highest viewing number, and displays it in the advertisement push window.

Preferably, the content of the push invitation window of the advertisement push module adopts random rotation.

10: Store management module

20: Database Modules

30: Statistical Analysis Module

40: Advertising push module

100: Store advertisement push method and system

S1~S8: Process steps of store advertisement push method

[Figure 1] Block diagram of store advertising push system;

[Figure 2] Schematic diagram of the method of advertising push broadcast in store;

[Fig. 3] An embodiment of a store advertisement push method.

[Fig. 4] An embodiment of the push broadcast invitation window.

The following examples illustrate the purpose, content and advantages of the present invention. The following examples further describe the specific implementations of the present invention in detail. The following examples are only used to more clearly illustrate the technical solutions of the present invention, and cannot be used to limit the protection scope of the present invention.

In a store advertisement pushing method and system 100 of the present invention, a store enters a store management module 10 to first register a store membership account, and the store management module 10 displays a product input screen for the store to input multiple products of its own. A plurality of commodity information is stored in a commodity list, and further, a push amount account is opened according to the store's membership account to allow the store to deposit an advertisement amount for push advertisement use.

The store management module 10 displays a push invitation window, and the push invitation window is used to attract the willingness of a plurality of stores to push advertisements of their products; as shown in [Fig. 2], the store advertisement created by the push invitation window The push method steps are as follows:

S1. Enter the store management module 10 from the store, an advertisement push module 40 of the system judges whether the store member account belongs to the store that pushed the advertisement for the first time according to a store member database of a database module 20 Member Account.

S2. If the store member account has pushed advertisements, it will link to a product advertisement status database in the database module 20, and automatically grab the product according to the multiple product names in the product list of the store member account. The commodity names in the commodity list of the store member account in the commodity advertisement status database are linked to a statistical analysis module 30 to calculate a plurality of technical indicators.

S3. Further, the statistical analysis module 30 calculates a pushable days (D) according to the advertisement amount and a total push amount (M) of the commodities that have an advertisement push function enabled at present, The pushable days (D) are compared with a first threshold (K1).

S4. If the number of days that can be pushed (D) is less than the first threshold (K1), the statistical analysis module 30 will count the individual sales benefits (S) of those commodities that have the advertisement push function enabled at present. , and according to the product (A1) with the highest selling benefit (S1), the push amount (M1) of the product (M1) is summed down in order The product (A2) with the second highest (S2) is the push amount (M1+M2), and the different pushable days (D1, D2....) are calculated hierarchically, as shown in the table below. Further, the statistical analysis model The group 30 transmits the number of days (Dn) that is greater than a second threshold ( K2 ) and the difference between the two is the smallest to the advertisement pushing module 40 .

S5. The advertisement push module 40 sends a suggestion message to turn off an advertisement push function of the product that is not composed of the pushable days (Dn) to the push invitation window, so that the store can recharge the advertisement amount as soon as possible Or readjust the push broadcast composition of these products.

S6. Further, the statistical analysis module 30 compares the percentage of the sales performance of the product with the highest sales efficiency higher than the sales performance of other products, and displays it in the push window.

S7. Further, the statistical analysis module 30 calculates the commodity with the highest viewing number of the current consumer in the commodity list of the store's membership account, and calculates the percentage of the commodity with the highest viewing number higher than the viewing number of other commodities, and displayed in the push invitation window.

S8. Further, the system can also provide advice on how much the return rate can be increased if the store enables the advertisement push function of the product with the highest viewing number, and displays it in the advertisement push window.

Continue to step S1, if the store member account is the first time to push advertisements, then Proceed as follows:

S2a., the system is linked to the product advertisement status database of the database module 20, and automatically grabs the product after a natural language process according to the product names in the product list of the store's member account For the similar commodity names in the commodity lists of the plurality of store membership accounts in the advertisement status database, the statistical analysis module 30 performs the technical indicators, and proceeds to step S6.

In the above step S4, if the number of days that can be broadcast (D) is greater than the first threshold (K1), the step S6 is directly continued.

In a preferred embodiment of the present invention, as shown in FIG. 4 , the advertisement push module 40 adopts random rotation for the content of the push invitation window.

In a preferred embodiment of the present invention, the sales benefit calculation method is that the system follows the algorithm 1.((maximum number of views/minimum number of views)-1), 2.1((maximum sales quantity/minimum sales quantity)-1 ), 3. 1 ((maximum sales amount/minimum sales amount)-1) calculation, after the calculation, the one with the highest calculation data is taken out as the one with the best benefit and the result is displayed, but the present invention is not limited to this.

In a preferred embodiment of the present invention, the calculation formula of the number of views of the product is higher than that of other products = {(product with the highest pageview/ product with the lowest pageview)-1}%; if the calculated value is lower than 1%, the value will not be displayed, If the pageview is 0, the system will turn to 1 uniformly.

In a preferred embodiment of the present invention, the method of calculating the rate of return is based on the homogeneous ROAS of the advertising effectiveness of all stores that have used the system, but the present invention is not limited to this. ROAS: The rate of return on advertising investment (how much revenue can be generated for each dollar spent on advertising) If the current average ROAS performance is 3, this rate of return will be expected to be 3 times.

In a preferred embodiment of the present invention, click the "Ad push button" to jump out A pop-up window with instructions to activate the ad.

In a preferred embodiment of the present invention, the number of views mentioned above may also be, but not limited to, the number of searches for a popular keyword, the number of product sales, the number of advertisement clicks, and the number of advertisement orders.

In a preferred embodiment of the present invention, the conversion rate is calculated in the following manner: conversion rate=number of buyers/users (number of visitors viewed)*100%, but the present invention is not limited to this.

In a preferred embodiment of the present invention, if the store has a plurality of store member accounts, the system provides a push-broadcast invitation window merge function to facilitate the management of the store.

In a preferred embodiment of the present invention, if the store has push advertisements on multiple shopping platforms, the above-mentioned steps S2.~S6 can also add the above-mentioned data of these platforms, and the push-broadcast invitation window can be displayed. displayed individually or in combination.

A store advertisement pushing method and system 100 of the present invention is implemented through an Internet using a network technology, as shown in [FIG. 1], wherein the system includes:

A store management module 10, which provides multiple stores to easily manage multiple products of their own and push advertisements on multiple shopping platforms. The store management module 10 includes:

a store membership unit, providing the stores to input a store membership account and link to a store membership database of a database module 20;

a commodity input unit, which provides the stores to input a plurality of commodity information of the commodities and transmits them to the database module 20 to store them as a commodity list; and

A push broadcast amount account, which provides the stores to deposit an advertisement amount for push advertisement use; the database module 20 is connected to the store management module 10 , and the database module 20 includes:

The store member database stores the store member information, including: the store member account, One push broadcast amount account and multiple shopping platform accounts;

The commodity list stores the commodity information of the commodities of the stores, including: the number of sales of the commodity and a sales amount; and

a commodity advertisement status database, which records the number of views, the number of clicks on the advertisement, the number of advertisement orders, and the time of a push of the individual commodity push advertisements;

A statistical analysis module 30, which is connected with the store management module 10 and the shopping platforms, and makes statistics on the various shopping platforms of the stores when the advertisements are turned on and the advertisements are not turned on. a calculated metric comprising the total number of views, the total number of ad clicks, the sales effectiveness, a conversion rate and a return rate; and

An advertisement pushing module 40, connected to the statistical analysis module 30, is used to attract the willingness of the stores to push advertisements of the products, including: a push invitation window displayed on the store management module screen , the calculation index of the statistical analysis module 30 is randomly rotated; an advertisement push function button allows the store to turn on or off the advertisement push function and an immediate recharge button allows the store to link to the push amount account Reload the ad amount.

In a preferred embodiment of the present invention, as shown in [Fig. 3], the number of days that can be pushed (D) is 9 days, the advertising amount is 1,400 yuan, the first threshold (K1) is set to 10 days, and the second threshold (K2) It is set to 15 days, and there are 5 products with the push advertisement function enabled. The individual sales benefits (S) and calculation methods are shown in the following table:

由上表結果，本系統該廣告推播模組40發送一建議關閉A2~A5的廣告推播功能訊息，讓店家重新調整該些個商品的推播組成，或店家可點選一立即儲值按鈕連結到推播金額帳戶儲值該廣告金額。

From the results of the above table, the advertising push module 40 of the system sends a message suggesting to close the advertising push function of A2~A5, so that the store can re-adjust the push composition of these products, or the store can click on a recharge immediately. The button is linked to the push amount account to recharge the advertising amount.

In a preferred embodiment of the present invention, a store advertisement push method and system 100 of the present invention are implemented through an Internet using a blockchain technology.

All the features disclosed in the present invention shall be implemented in any combination, and each feature disclosed in the present invention shall be replaced by substitutes of the same, equal or similar purpose, therefore, unless expressly specified, each A feature is only one example of a class of equivalent or similar features.

S1~S8: Process steps of store advertisement push method

Claims (11)

A method for pushing and broadcasting store advertisements is realized by a plurality of shopping platforms, and the method steps are as follows: S1. Entering a store management module from a plurality of stores, an advertisement push module of the system judges whether a store member account belongs to the store member account for the first push advertisement according to a store member database of a database module ; S2. If the store member account has pushed advertisements, it will link to the product advertisement status database in the database module, and obtain the product advertisement status according to the multiple product names in the product list of the store member account. The commodity names in the commodity list of the store's member account in the database are linked to a statistical analysis module to calculate a plurality of technical indicators; and S3. When the number of days that can be pushed is less than a first threshold, the advertisement push module displays a push invitation window, and lists the technical indicators of a plurality of products that have an advertisement push function enabled, so that the The store stores an ad amount or readjusts the push broadcast composition of these products. For the method for pushing advertisements for stores described in item 1 of the scope of application, if the store member account is the first to push advertisements, the system will link to the product advertisement status database of the database module, according to the The commodity names in the commodity list are processed by a natural language to obtain the similar commodity names in the commodity lists of the plurality of store member accounts in the commodity advertisement status database, and the statistical analysis model The group carries out these technical indicators. For the method for promoting store advertisements as described in Item 1 of the scope of the patent application, the technical indicators include, how much higher the sales performance of a product with the highest sales efficiency is higher than that of other products, and a product with the highest number of views, Calculate the % higher view count of the product with the highest view count than other products, an increase in return rate and a conversion rate. According to the method for pushing advertisements in stores described in item 1 of the scope of application, when the number of days that can be pushed (D) is less than the first threshold (K1), the statistical analysis module will count the number of advertisement pushing functions that have been enabled at present. The individual sales benefit (S) of these commodities, and the commodity (A1) with the highest sales benefit (S1) and the amount of promotion (M1) for the commodity (A1) with the highest sales benefit (S1), and the commodity (A2) with the second highest (S2) in the order down. ) push broadcast amount (M1+M2), calculate the different push broadcast days (D1, D2....) in layers, further, the statistical analysis module extracts a second threshold value (K2) and both The pushable days (Dn) with the smallest difference is sent to the advertisement push module. According to the method for pushing advertisements in stores described in item 4 of the scope of the application, the advertisement pushing module sends a suggestion message to disable the advertisement pushing function of the products that are not composed of the number of days that can be pushed (Dn) to the promotion. Play Invitation window. If the store advertisement push method described in item 1 of the scope of the patent application, the store has multiple store member accounts at the same time, the system provides a push broadcast invitation window with the same function to make the store easier to manage. According to the method for pushing advertisements in stores as described in item 1 of the scope of the application, the content of the pushing invitation window of the advertisement pushing module adopts a random rotation method. According to the method for promoting store advertisements as described in item 3 of the scope of the application, the sales benefit calculation method includes ((maximum number of views/minimum number of views)-1), one ((maximum number of sales/minimum number of sales)-1) and one ((maximum sale amount/minimum sale amount)-1). As for the method for promoting store advertisements as described in Item 3 of the scope of the patent application, the rate of return calculation method is based on the homogeneous ROAS of all store advertisements that have used the system. A store advertisement pushing system is realized by using a network technology through an Internet, and the system includes: A store management module, which provides multiple stores to easily manage multiple products of their own and push advertisements on multiple shopping platforms. The store management module includes: a store membership unit, providing the stores to input a store membership account and link to a store membership database of a database module; a commodity input unit, which provides the stores to input a plurality of commodity information of the commodities and transmits them to the database module to store them as a commodity list; and A push broadcast amount account, which provides the stores to deposit an advertisement amount for use in push advertisements; the database module is linked to the store management module, and the database module includes: The store member database stores the store member information, including: the store member account, the one-tweet broadcast amount account and multiple shopping platform accounts; The commodity list stores the commodity information of the commodities of the stores, including: a number of commodity sales and a sales amount; and a commodity advertisement status database, which records the number of views, the number of clicks, the number of advertisement orders, and the push time of the push advertisements; A statistical analysis module, linking the store management module and the shopping platforms, and making statistics on each of the shopping platforms when the stores have opened advertisements and when they have not opened advertisements. Calculate metrics including the total number of views, the total number of clicks on the ad, a sales benefit, a conversion rate, and a return rate; and An advertisement push module, linked to the statistical analysis module, is used to attract the willingness of the stores to push the advertisements of the products, including: a push invitation window displayed on the store management module screen, random Rotate the calculation index of the statistical analysis module; an advertisement push function button for the store to enable or disable the advertisement push function and an immediate reload button for the store to link Store the ad amount in the push amount account. For the method for pushing advertisements in stores described in item 10 of the scope of application, the system is implemented through the Internet using a blockchain technology.

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