Method and system for pushing digital media advertisement

Abstract

The invention is suitable for the technical field of advertisement pushing, and particularly relates to a digital media advertisement pushing method and system, and the method comprises the steps: dividing an internal region of a shopping mall into a plurality of sub-regions, each sub-region corresponding to a category, marking the deployment position of a Bluetooth gateway in each sub-region, and carrying out the pushing of a digital media advertisement through the Bluetooth gateways, reading a Bluetooth beacon signal of the visitor, extracting a unique identifier, acquiring consumption data of the visitor through pre-bound identity information, and determining an interest category of the visitor; acquiring video monitoring data of an entrance and an exit of the shopping mall, and identifying the number of visitors; and if the number is 1, passing the identity information. According to the method, the same item is pushed to all the visitors of the same bank, so that not only can personalized commodity recommendation and promotion information be pushed, but also attention and interaction of the visitors to the information can be increased, the attraction of the advertisement is improved, and thus the advertisement pushing accuracy and the participation degree of the visitors are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of advertisement push, and in particular to a method and system for pushing digital media advertisement. Background Art

[0002] In shopping malls, digital media advertising is usually pushed through smart devices; shopping malls use Wi-Fi, Bluetooth or near-field communication (NFC) technology to connect to users' mobile phones and push advertising information, or send coupons and promotional information through shopping mall apps to increase interactivity and accuracy.

[0003] However, when multiple visitors enter a shopping mall together, the advertising information they receive is different, resulting in different shopping interests and destinations for each visitor, which can easily lead to disagreements and decision-making delays, ultimately affecting the push effect; in other words, if promotional information of the visitors' common favorite categories is pushed to them at the same time when multiple visitors enter a shopping mall together, it is easier to establish topics among visitors and to increase the actual conversion rate of the advertisements; therefore, "how to push promotional information of the common favorite categories to multiple visitors" is the technical problem that the present invention needs to solve. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for pushing digital media advertisements to solve the problem of "how to push promotional information of common favorite categories to multiple visitors" mentioned in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A method for pushing digital media advertisements, the method comprising: Divide the internal area of ​​the shopping mall into several sub-areas, each of which corresponds to a category, mark the deployment location of the Bluetooth gateway in each sub-area, read the Bluetooth beacon signal of the visitor through the Bluetooth gateway, and extract the unique identifier, obtain the visitor's consumption data through the pre-bound identity information, and determine the visitor's interest category; Obtain video surveillance data from the mall entrance and identify the number of visitors; If the number is 1, the promotion information of the interest category is pushed to the visitor terminal via the identity information; If the number is greater than 1, based on the consumption data, a favorite list corresponding to each visitor is created, wherein the favorite list is composed of several categories, and it is determined whether there are the same items in the favorite lists of all visitors. If so, a preset synchronous push mechanism is activated to push promotion information of the same items to all visitors; If not, integrate the favorite lists of all visitors, find out the two closest categories, and define them as target items. Based on the favorite lists and identity information, push the promotion information of the target items to the corresponding visitors.

[0006] Furthermore, the step of "dividing the inner area of ​​the shopping mall into a plurality of sub-areas" includes: Configuring the influencing factors of the sub-area division, wherein the influencing factors at least include: flow of people and promotion activities; The boundary of the sub-region is dynamically adjusted according to the influencing factors.

[0007] Furthermore, the step of "marking the deployment location of the Bluetooth gateway in each sub-area, and reading the Bluetooth beacon signal of the visitor via the Bluetooth gateway" includes: Using the Bluetooth beacon signal, locate the real-time location of visitors in the mall, count the number of visitors in each sub-area, and determine the stop points of visitors in the sub-area; The commodity attributes of the stopover point are determined, a visitor preference prediction model is constructed, and the commodity attributes are input into the preference prediction model to obtain shopping preferences as output, and the interest category is offset using the shopping preferences.

[0008] Furthermore, the step of "obtaining visitor's consumption data and determining visitor's interest category" includes: Integrate the product attributes and interest categories to generate a reference data set; The display positions of the commodities in each sub-area are marked, and the display positions are adjusted using the reference data set.

[0009] Furthermore, the method further comprises: Based on the Bluetooth beacon signal, generating a mall heat map; The mall heat map is divided into hot areas and cold areas, the control authority of the display terminal in the hot area is obtained, and the promotion message in the cold area is sent to the display terminal.

[0010] Furthermore, the step of "determining whether there are the same items in the preference lists of different visitors" includes: Count the number of identical items and build a push queue; The push queue is used to generate a shopping guide map and send it to the visitor.

[0011] Furthermore, the method further comprises: Embedding a secondary reminder mechanism into the target item and the same item; The secondary reminder mechanism is: when the real-time location coincides with the same item or the target item, the promotion information is sent to the visitor again.

[0012] Furthermore, the determination module is used to divide the internal area of ​​the shopping mall into several sub-areas, each of which corresponds to a category, mark the deployment location of the Bluetooth gateway in each sub-area, read the Bluetooth beacon signal of the visitor through the Bluetooth gateway, and extract the unique identifier, obtain the visitor's consumption data through the pre-bound identity information, and determine the visitor's interest category; The identification module is used to obtain video surveillance data from the mall entrance and identify the number of visitors; A judgment module is used to push the promotional information of the interest category to the visitor terminal via the identity information when the number is 1; if the number is greater than 1, create a preference list corresponding to each visitor based on the consumption data, wherein the preference list is composed of several categories, and judge whether there are the same items in the preference lists of different visitors. If so, activate the preset synchronous push mechanism to push the promotional information of the same items to all visitors; if not, integrate the preference lists of all visitors, find the two closest categories, define them as target items, and push the target items to the corresponding visitors based on the preference lists and identity information.

[0013] Furthermore, the determination module includes: A configuration unit, configured to configure influencing factors of the sub-area division, wherein the influencing factors at least include: flow of people and promotion activities; A dynamic adjustment unit, configured to dynamically adjust the boundary of the sub-region according to the influencing factors; A statistical unit, used to locate the real-time location of visitors in the mall using the Bluetooth beacon signal, count the number of visitors in each sub-area, and determine the stop points of visitors in the sub-area; The prediction unit is used to determine the commodity attributes of the stopover point, build a visitor preference prediction model, input the commodity attributes into the preference prediction model, output shopping preferences, and use the shopping preferences to offset the interest category.

[0014] Furthermore, the identification module includes: A generating unit, used to integrate the commodity attributes and interest categories to generate a reference data set; The determination unit is used to mark the display position of the commodity in each sub-area and adjust the display position using the reference data set.

[0015] Compared with the prior art, the present invention has the following beneficial effects: By acquiring Bluetooth beacon signals, it is possible to locate the visitor's consumption data and interest categories, thereby achieving accurate push notifications to visitors, improving conversion rates, and optimizing user experience. By identifying the number of visitors, it is possible to determine the number of users, thereby formulating different push strategies. By pushing the same items to all visitors in the same group, it is possible not only to push personalized product recommendations and promotional information, but also to increase visitors' attention and interaction with information, increase the attractiveness of advertising, and thus improve the accuracy of advertising push and visitor engagement. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A flowchart of a method for pushing digital media advertisements provided by an embodiment of the present invention; Figure 2 A first sub-flow diagram of the method for pushing digital media advertisements provided by an embodiment of the present invention; Figure 3 A second sub-flow diagram of the method for pushing digital media advertisements provided by an embodiment of the present invention; Figure 4 A third sub-flow diagram of the method for pushing digital media advertisements provided by an embodiment of the present invention; Figure 5 A block diagram of the digital media advertisement push system provided by an embodiment of the present invention; Figure 6 A block diagram of the composition of a determination module in a digital media advertisement push system provided by an embodiment of the present invention; Figure 7 A block diagram of the composition of an identification module in a digital media advertisement push system provided by an embodiment of the present invention; Figure 8 This is a block diagram of the composition of the judgment module in the digital media advertisement push system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution 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. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0018] In Example 1, Figure 1 The implementation process of the method for pushing digital media advertisements provided by the embodiment of the present invention is shown and described in detail below: S100: Divide the inner area of ​​the shopping mall into several sub-areas, each of which corresponds to a category. Mark the deployment location of the Bluetooth gateway in each sub-area. Read the Bluetooth beacon signal of the visitor through the Bluetooth gateway and extract the unique identifier. Obtain the visitor's consumption data through the pre-bound identity information and determine the visitor's interest category.

[0019] According to the layout of the mall and the types of goods, the overall space of the mall is divided into multiple sub-areas, such as the electronic products area, clothing area, cosmetics area, etc.; each sub-area corresponds to a category, and a Bluetooth gateway is deployed in each sub-area according to the location characteristics of the sub-area or the flow pattern of visitors. The deployment location of the Bluetooth gateway should include the entrance and main channels of the mall in addition to the sub-area; the Bluetooth gateway obtains the visitor's location data by receiving the Bluetooth signal from the visitor's mobile phone, and identifies the visitor's identity information by reading the unique identifier in the Bluetooth beacon signal and comparing it with the pre-bound identity information, wherein the pre-bound identity information can be collected through the mall shopping application; the consumption data of the outgoing visitor is read, and the consumption data includes purchase records and the length of time to visit each sub-area, etc. According to the consumption records, the interest category of the outgoing visitor is determined, and the interest category is the category of interest to the visitor.

[0020] S200: Obtain video surveillance data from the mall entrance and identify the number of visitors.

[0021] Video surveillance equipment is used to collect video surveillance data at the entrance of the shopping mall, and by generating snapshots, portrait features are extracted to determine the number of visitors entering the mall.

[0022] S300: If the number is 1, push the promotion information of the interest category to the visitor terminal via the identity information; If the number is greater than 1, based on the consumption data, a favorite list corresponding to each visitor is created, wherein the favorite list is composed of several categories, and it is determined whether there are the same items in the favorite lists of all visitors. If so, a preset synchronous push mechanism is activated to push promotion information of the same items to all visitors; If not, integrate the favorite lists of all visitors, find out the two closest categories, and define them as target items. Based on the favorite lists and identity information, push the target items to the corresponding visitors.

[0023] If the number of visitors entering the mall in the snapshot is only 1, the visitor's identity information is directly read, and promotional information is generated based on the visitor's interest category, and the promotional information is pushed to the visitors entering the mall, wherein the push can be performed through the mall shopping application.

[0024] If there are multiple visitors entering the mall in the snapshot, a favorite list is created for each visitor based on their interest categories to determine whether there are the same categories (same items) in the favorite lists of the multiple visitors entering the mall. If so, it means that these visitors have the same favorite categories, and promotional information is generated using the synchronous push mechanism and the same items and sent to users. The synchronous push mechanism is: through the identity information of all visitors, the promotional information is sent to all visitors at the same time through the mall shopping application; when visitors receive the same promotional information, they can establish dialogue to a greater extent, thereby increasing the attractiveness of the advertisement.

[0025] If there are no identical items in the preference lists of visitors entering the mall, the preference lists of all visitors are integrated to find out the two categories that are closest to each other, and the promotion information of each category is pushed to the corresponding visitors.

[0026] In Example 2, Figure 2 The implementation process of the method for pushing digital media advertisements provided by an embodiment of the present invention is shown. The step of "dividing the internal area of ​​the shopping mall into a plurality of sub-areas" is described in detail below. S101: configuring influencing factors for the sub-area division, wherein the influencing factors at least include: flow of people and promotion activities.

[0027] In addition to dividing the internal areas of the mall according to categories, sub-areas should also be adjusted based on traffic flow or promotional activities.

[0028] S102: Dynamically adjust the boundary of the sub-region according to the influencing factors.

[0029] In this embodiment, if the flow of people in a certain sub-area is large, the boundary of the sub-area may be expanded to optimize the flow of people.

[0030] In Example 3, Figure 2 The implementation process of the method for pushing digital media advertisements provided by an embodiment of the present invention is shown. The steps of "marking the deployment location of the Bluetooth gateway in each sub-area and reading the Bluetooth beacon signal of the visitor via the Bluetooth gateway" are described in detail as follows: S103: Utilize the Bluetooth beacon signal to locate the real-time position of the visitor in the mall, count the number of visitors in each sub-area, and determine the stop points of the visitor in the sub-area.

[0031] The specific location of the visitor is located by the signal strength and the distance of signal transmission, and the visitor's movement trajectory is recorded, and then the number of visitors in each sub-area is counted; when the visitor stops moving, the location of the visitor is defined as the stop point.

[0032] S104: Determine the commodity attributes of the stopover point, construct a visitor preference prediction model, input the commodity attributes into the preference prediction model, output shopping preferences, and use the shopping preferences to offset the interest category.

[0033] The product attributes corresponding to each stop point are collected, including: product category, brand, price range, color and style, etc. When the visitor is at the stop point, the product characteristics at the stop point are recorded and input into the pre-built visitor preference prediction model. The visitor preference prediction model predicts the visitor's shopping preferences by analyzing historical consumption data, browsing behavior, dwell time and other factors, and adjusts the visitor's interest category.

[0034] In Example 4, Figure 3 The implementation process of the method for pushing digital media advertisements provided by an embodiment of the present invention is shown. The steps of "obtaining visitor consumption data and determining visitor interest categories" are described in detail as follows: S201: Integrate the product attributes and interest categories to generate a reference data set.

[0035] Record each visitor's interest category and the attributes of the goods at the stopover point, and integrate them to obtain a reference data set. By establishing a reference data set and analyzing visitor preferences, shopping malls can optimize inventory management, predict the popularity of goods in advance, and arrange inventory reasonably.

[0036] S202: Mark the display position of the commodity in each sub-area, and adjust the display position using the reference data set.

[0037] The display position of the products is adjusted according to the popularity of each product in the reference data set.

[0038] In Example 5, Figure 4 The implementation process of the method for pushing digital media advertisements provided by an embodiment of the present invention is shown. The step of "determining whether there are the same items in the preference lists of different visitors" is described in detail as follows: S301: Count the number of identical items and build a push queue.

[0039] S302: Generate a shopping guide map using the push queue and send it to the visitor.

[0040] If there are multiple identical items in the favorite lists of different visitors, the locations of the multiple identical items are determined, integrated to generate a shopping guide map, and sent to the visitors.

[0041] In Example 6, different from Example 1, in this embodiment of the present invention, the method further includes: Based on the Bluetooth beacon signal, generating a mall heat map; The mall heat map is divided into hot areas and cold areas, the control authority of the display terminal in the hot area is obtained, and the promotion message in the cold area is sent to the display terminal.

[0042] According to the number of visitors in each sub-area counted, the preset heat map generation software is used to visualize the number of visitors and generate a mall heat map; the mall heat map is divided into hot zones and cold zones, and promotional information about categories in the cold zones is generated and sent to display terminals in the hot zones, where the display terminals can be electronic advertising screens in the mall or interactive touch screens. The advantage of this is that it can both regulate the flow of people and improve the push effect of advertisements in the cold zones.

[0043] In Example 7, different from Example 1, in this embodiment of the present invention, the method further includes: Embedding a secondary reminder mechanism into the target item and the same item; The secondary reminder mechanism is: when the real-time location coincides with the same item or the target item, the promotion information is sent to the visitor again.

[0044] When the visitor's real-time location coincides with the same item or target item, promotional information is sent to the visitor again to remind the visitor, thereby better guiding the visitor to the potential consumption area.

[0045] Figure 5 The structure block diagram of the digital media advertisement push system provided by the embodiment of the present invention is shown. The digital media advertisement push system 1 includes: The determination module 11 is used to divide the internal area of ​​the shopping mall into several sub-areas, each of which corresponds to a category, mark the deployment location of the Bluetooth gateway in each sub-area, read the Bluetooth beacon signal of the visitor through the Bluetooth gateway, and extract the unique identifier, obtain the visitor's consumption data through the pre-bound identity information, and determine the visitor's interest category; Identification module 12, used to obtain video surveillance data from the mall entrance and identify the number of visitors; The judgment module 13 is used to push the promotional information of the interest category to the visitor terminal via the identity information when the number is 1; if the number is greater than 1, create a preference list corresponding to each visitor based on the consumption data, wherein the preference list is composed of several categories, and judge whether there are the same items in the preference lists of different visitors. If so, activate the preset synchronous push mechanism to push the promotional information of the same items to all visitors; if not, integrate the preference lists of all visitors, find the two closest categories, define them as target items, and push the target items to the corresponding visitors based on the preference lists and identity information.

[0046] Figure 6 The structure block diagram of the digital media advertisement push system provided by the embodiment of the present invention is shown, and the determination module 11 includes: A configuration unit 111 is used to configure the influencing factors of the sub-area division, wherein the influencing factors at least include: human flow and promotion activities; A dynamic adjustment unit 112, configured to dynamically adjust the boundary of the sub-region according to the influencing factors; A statistical unit 113 is used to locate the real-time location of the visitor in the mall by using the Bluetooth beacon signal, count the number of visitors in each sub-area, and determine the stop points of the visitor in the sub-area; The prediction unit 114 is used to determine the commodity attributes of the stopover point, construct a visitor preference prediction model, input the commodity attributes into the preference prediction model, output shopping preferences, and use the shopping preferences to offset the interest category.

[0047] Figure 7 The structure diagram of the digital media advertisement push system provided by the embodiment of the present invention is shown, and the identification module 12 includes: A generating unit 121, configured to integrate the commodity attributes and interest categories to generate a reference data set; The determination unit 122 is used to mark the display position of the commodity in each sub-area and adjust the display position using the reference data set.

[0048] Figure 8 The structure block diagram of the digital media advertisement push system provided by the embodiment of the present invention is shown, and the judgment module 13 includes: The construction unit 131 is used to count the number of the same items and construct a push queue.

[0049] The sending unit 132 is used to generate a shopping guide map using the push queue and send it to the visitor.

[0050] The determination module 11 is mainly used to complete step S100, the identification module 12 is mainly used to complete step S200, and the judgment module 13 is mainly used to complete step S300; The configuration unit 111 is mainly used to complete step S101, the dynamic adjustment unit 112 is mainly used to complete step S102, the statistical unit 113 is mainly used to complete step S103, and the prediction unit 114 is mainly used to complete step S104; The generating unit 121 is mainly used to complete step S201, and the determining unit 122 is mainly used to complete step S202; The constructing unit 131 is mainly used to complete step S301, and the sending unit 132 is mainly used to complete step S302.

[0051] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0052] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0053] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for pushing digital media advertisements, characterized in that: The method comprises: Divide the internal area of ​​the shopping mall into several sub-areas, each of which corresponds to a category, mark the deployment location of the Bluetooth gateway in each sub-area, read the Bluetooth beacon signal of the visitor through the Bluetooth gateway, and extract the unique identifier, obtain the visitor's consumption data through the pre-bound identity information, and determine the visitor's interest category; Obtain video surveillance data from the mall entrance and identify the number of visitors; If the number is 1, the promotion information of the interest category is pushed to the visitor terminal via the identity information; If the number is greater than 1, based on the consumption data, a favorite list corresponding to each visitor is created, wherein the favorite list is composed of several categories, and it is determined whether there are the same items in the favorite lists of all visitors. If so, a preset synchronous push mechanism is activated to push promotion information of the same items to all visitors; If not, integrate the favorite lists of all visitors, find out the two closest categories, and define them as target items. Based on the favorite lists and identity information, push the promotion information of the target items to the corresponding visitors.

2. The method for pushing digital media advertisements according to claim 1, characterized in that: The step of "dividing the inner area of ​​the shopping mall into several sub-areas" includes: Configuring the influencing factors of the sub-area division, wherein the influencing factors at least include: flow of people and promotion activities; The boundary of the sub-region is dynamically adjusted according to the influencing factors.

3. The method for pushing digital media advertisements according to claim 1, characterized in that: The step of "marking the deployment location of the Bluetooth gateway in each sub-area, and reading the Bluetooth beacon signal of the visitor via the Bluetooth gateway" includes: Using the Bluetooth beacon signal, locate the real-time location of visitors in the mall, count the number of visitors in each sub-area, and determine the stop points of visitors in the sub-area; The commodity attributes of the stopover point are determined, a visitor preference prediction model is constructed, and the commodity attributes are input into the preference prediction model to obtain shopping preferences as output, and the interest category is offset using the shopping preferences.

4. The method for pushing digital media advertisements according to claim 3, characterized in that: The step of "obtaining visitor's consumption data and determining visitor's interest category" includes: Integrate the product attributes and interest categories to generate a reference data set; The display positions of the commodities in each sub-area are marked, and the display positions are adjusted using the reference data set.

5. The method for pushing digital media advertisements according to claim 1, characterized in that: The method further comprises: Based on the Bluetooth beacon signal, generating a mall heat map; The mall heat map is divided into hot areas and cold areas, the control authority of the display terminal in the hot area is obtained, and the promotion message in the cold area is sent to the display terminal.

6. The method for pushing digital media advertisements according to claim 1, characterized in that: The step of "determining whether there are identical items in the preference lists of different visitors" includes: Count the number of identical items and build a push queue; The push queue is used to generate a shopping guide map and send it to the visitor.

7. The method for pushing digital media advertisements according to claim 3, characterized in that: The method further comprises: Embedding a secondary reminder mechanism into the target item and the same item; The secondary reminder mechanism is: when the real-time location coincides with the same item or the target item, the promotion information is sent to the visitor again.

8. A digital media advertisement push system, characterized in that: The system comprises: A determination module is used to divide the internal area of ​​the shopping mall into several sub-areas, each of which corresponds to a category, mark the deployment location of the Bluetooth gateway in each sub-area, read the Bluetooth beacon signal of the visitor through the Bluetooth gateway, and extract the unique identifier, obtain the visitor's consumption data through the pre-bound identity information, and determine the visitor's interest category; The identification module is used to obtain video surveillance data from the mall entrance and identify the number of visitors; A judgment module is used to push the promotional information of the interest category to the visitor terminal via the identity information when the number is 1; if the number is greater than 1, create a preference list corresponding to each visitor based on the consumption data, wherein the preference list is composed of several categories, and judge whether there are the same items in the preference lists of different visitors. If so, activate the preset synchronous push mechanism to push the promotional information of the same items to all visitors; if not, integrate the preference lists of all visitors, find the two closest categories, define them as target items, and push the target items to the corresponding visitors based on the preference lists and identity information.

9. The digital media advertisement push system according to claim 8, characterized in that: The determination module comprises: A configuration unit, configured to configure influencing factors of the sub-area division, wherein the influencing factors at least include: flow of people and promotion activities; A dynamic adjustment unit, configured to dynamically adjust the boundary of the sub-region according to the influencing factors; A statistical unit, used to locate the real-time location of visitors in the mall using the Bluetooth beacon signal, count the number of visitors in each sub-area, and determine the stop points of visitors in the sub-area; The prediction unit is used to determine the commodity attributes of the stopover point, build a visitor preference prediction model, input the commodity attributes into the preference prediction model, output shopping preferences, and use the shopping preferences to offset the interest category.

10. The digital media advertisement push system according to claim 8, characterized in that: The identification module comprises: A generating unit, used to integrate the commodity attributes and interest categories to generate a reference data set; The determination unit is used to mark the display position of the commodity in each sub-area and adjust the display position using the reference data set.

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