CN112541794A - Method for triggering accurate putting of offline entity shop product advertisements based on user positions - Google Patents
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Abstract
The mobile phone software of the invention sends the longitude and latitude information of the user to the address server of the area where the user is located in real time, and the address server maps the longitude and latitude information of the user to the electronic map in real time. If the distance between the user and the peripheral shops is smaller than the preset triggering distance, the server IDs of the shops around the user are marked, and the address server sends the marked shop server IDs to the user behavior analysis server. The user behavior analysis server analyzes the latest shopping behavior of the user through big data to acquire the commodity information most interested by the user, and then sends the commodity information most interested by the user to the marked shop servers respectively. The marked shop servers respectively judge whether commodities which are the same as or similar to the purchase intention of the user exist in the shop, and if the commodities exist, the shop servers access the local database, read corresponding commodity advertisements and display the corresponding commodity advertisements through a display screen at the position of the shop door. In this way, accurate advertisement delivery is achieved as the user passes through the store.
Description
Technical Field
The invention relates to the technical field of advertisements, in particular to a method for triggering accurate advertisement putting of off-line entity shop products based on user positions.
Background
At present, each large-consumption shopping platform basically realizes accurate marketing and product advertisement pushing based on user consumption habits, but in the prior art, the technology for accurately pushing the product advertisement and the marketing by fusing online and offline is only in a primary stage. The user can only manually search surrounding shops and commodities but cannot accurately push the advertisements offline according to the recent shopping habits and behaviors of the user. For an offline physical store, when a customer passes through the front end of the store, the store cannot accurately push advertisements to the user based on information of products that the user recently wants to purchase. The display screen for the position of the store entrance can only display a wide range of product information and cannot directionally display the product information which is most interesting to the user.
The benefits of the inline and offline linkage are as follows.
Effect 1: and (4) more accurate putting.
Compared with the traditional offline delivery, the online and offline channel integration method has the advantages that the location of a user mobile phone (LBS) and the support of platform data are added, the online and offline channel integration can be fully combined with the online behavior data and the offline physical data of the user to carry out accurate marketing on the hidden passenger, and a brand target audience is locked.
Effect 2: higher conversion.
After locking out the offline target audience, the user is determined based on the user device entering, leaving, or entering a particular geographic area. For the audience meeting the standard of the resident user, secondary coverage is performed around the common application software in daily life, the user who has brand memory but has not formed conversion under the original online state is awakened to take action, and the conversion effect is further improved.
Disclosure of Invention
After acquiring the access authority of the user positioning information, the mobile phone APP software sends the mobile phone equipment ID and the longitude and latitude information of the user to an address server of the area where the user is located in real time, and the address server maps the longitude and latitude information of the user to an electronic map in real time. If the distance between the user and the peripheral shops is smaller than the preset trigger distance, the server IDs of the shops around the user are marked, and the address server sends the mobile phone equipment ID of the user and the marked shop server ID to the user behavior analysis server. The user behavior analysis server firstly analyzes browsing records, shopping records and shopping cart information of a user on each shopping platform through big data, acquires commodity information which the user has the recent purchasing intention, and then respectively sends the commodity information which the user has the purchasing intention to each marked shop server. And the marked shop servers respectively judge whether commodities which are the same as or similar to the purchase intention of the user exist in the shop, if so, the shop servers access the local database and read the corresponding commodity advertisement video information, and then drive a display screen at the position of the shop door to display. Therefore, when the user passes through the shop, the shop delivers the commodity advertisement which is interested by the user and has purchasing intention, and accurate delivery is achieved.
The invention is realized by adopting the following technical scheme, and the method for triggering accurate advertisement putting of the off-line entity shop product based on the user position, which is designed according to the purpose, comprises the following steps.
Step S11: after the APP software in the mobile phone obtains the access authority of the user positioning information, the mobile phone APP of the user sends the mobile phone equipment ID and the longitude and latitude information of the user to an address server of the area where the user is located in real time. After the address server receives the information sent by the user mobile phone APP, the address server maps the longitude and latitude information sent by the user mobile phone APP into the electronic map in real time.
Step S12: the address server calculates and judges whether the distance between the user and each peripheral shop is smaller than a preset trigger distance or not; in the electronic map, if the distance between the user and the peripheral store is less than the preset trigger distance, step S13 is executed, otherwise, the step S11 is executed.
Step S13: the address server determines the server ID of the peripheral store by accessing the store position-store server ID mapping table, marks the server ID of the peripheral store satisfying the distance condition, and then transmits the mobile phone device ID of the user and the marked store server ID to the user behavior analysis server.
Step S14: after the user behavior analysis server receives the message sent by the address server, the user behavior analysis server firstly analyzes shopping behavior information of a user such as browsing records, shopping records and shopping carts on each shopping platform through big data to acquire commodity ID information of the user with the recent purchasing intention, and then the user behavior analysis server respectively sends the commodity ID information of the user with the purchasing intention to each marked shop server.
Step S15: after the marked shop servers receive the commodity ID information, which is sent by the user behavior analysis server and of which the user has the purchase intention, the marked shops respectively judge whether the commodities, of which the user has the purchase intention, exist in the shops, and if the commodities do not exist, the step S16 is executed; otherwise, step S17 is executed.
Step S16: each marked store judges whether a commodity similar to the purchase intention of the user exists in the store, and if so, the step S17 is executed; otherwise, step S18 is executed.
Step S17: the shop server accesses the local database, reads the video information of the commodity advertisement with the purchase intention of the user, and drives the display screen at the position of the shop door to display.
Step S18: the shop server accesses the local database and reads the commodity advertisement video information similar to the purchase intention of the user, and then drives a display screen at the position of the shop door to display.
If multiple users are interested in multiple commodities in the same shop at the same time, the display screen weights the advertisement time of the commodities according to the arrangement sequence of the commodities, and the advertisement weight of the commodities in the front of the arrangement is larger, the advertisement playing time is longer, and the playing speed is slower; the closer the commodity advertisement weight value is, the shorter the advertisement playing time is, and the faster the advertisement playing speed is.
The server includes: the system comprises an address server, a user behavior analysis server, a shop server and an advertisement server.
The APP software comprises: and acquiring the access authority of the user positioning information, and sending the longitude and latitude information of the user to an address server of the area where the user is located in real time.
The address server: for storing and accessing an electronic map, all store locations-store server ID mapping tables.
The user behavior analysis server: and storing and analyzing shopping behavior information such as browsing records, shopping records and shopping carts of the user on each shopping platform through big data, and acquiring commodity ID information which the user has the recent purchasing intention.
The store server: for storing and accessing a database and a portion of the merchandise advertisement video file. Wherein, the database includes: a partial commodity ID-commodity detail information mapping table, a partial commodity ID-advertisement video file path mapping table, and a partial similar commodity ID mapping table.
The advertisement server: used for storing and accessing the database and the commodity advertisement video files corresponding to all commodity IDs. Wherein, the database includes: all commodity ID-commodity detail information mapping tables, all commodity ID-advertisement video file path mapping tables, and all similar commodity ID mapping tables.
The advertisement video sets of all the commodities stored in each shop server are subsets of the advertisement video sets of all the commodities stored in the advertisement servers, the commodity advertisement videos stored in each shop server are derived from the advertisement servers, and the commodity advertisement videos stored in each shop server are synchronously updated in real time according to the commodities in the shops.
One or more display screens are mounted at a location in front of the store doorway or on a wall of the store doorway.
Drawings
FIG. 1 is a block diagram of the system of the present invention.
FIG. 2 is a flowchart of the process of the present invention.
Detailed Description
The invention is further illustrated with reference to the accompanying drawings and specific examples.
A first embodiment, as shown in fig. 1 and 2.
The method for triggering accurate placement of the offline physical store product advertisement based on the user position comprises the following steps.
Step S11: after the APP software in the mobile phone obtains the access authority of the user positioning information, the mobile phone APP of the user sends the mobile phone equipment ID and the longitude and latitude information of the user to an address server of the area where the user is located in real time. After the address server receives the information sent by the user mobile phone APP, the address server maps the longitude and latitude information sent by the user mobile phone APP into the electronic map in real time.
Step S12: the address server calculates and judges whether the distance between the user and each peripheral shop is smaller than a preset trigger distance or not; in the electronic map, if the distance between the user and the peripheral store is less than the preset trigger distance, step S13 is executed, otherwise, the step S11 is executed.
Step S13: the address server determines the server ID of the peripheral store by accessing the store position-store server ID mapping table, marks the server ID of the peripheral store satisfying the distance condition, and then transmits the mobile phone device ID of the user and the marked store server ID to the user behavior analysis server.
Step S14: after the user behavior analysis server receives the message sent by the address server, the user behavior analysis server firstly analyzes shopping behavior information of a user such as browsing records, shopping records and shopping carts on each shopping platform through big data to acquire commodity ID information of the user with the recent purchasing intention, and then the user behavior analysis server respectively sends the commodity ID information of the user with the purchasing intention to each marked shop server.
Step S15: after the marked shop servers receive the commodity ID information, which is sent by the user behavior analysis server and of which the user has the purchase intention, the marked shops respectively judge whether the commodities, of which the user has the purchase intention, exist in the shops, and if the commodities do not exist, the step S16 is executed; otherwise, step S17 is executed.
Here, in step S15, the shop server determines whether there is a commodity that the user has an intention to purchase by querying the commodity ID-commodity detail information mapping table through a plurality of traversals, and if so, determines whether the number of the commodities is zero through the commodity detail information, and if not, indicates that there is a commodity that the user has an intention to purchase in the shop; if the value is zero, the shop is not provided with the commodity which the user has the purchasing intention.
Step S16: each marked store judges whether a commodity similar to the purchase intention of the user exists in the store, and if so, the step S18 is executed; otherwise, the execution returns to step S11.
Here, in step S16, when there is no product that the user has an intention to purchase in the store, it is determined whether there is a product that is similar to the user' S intention to purchase in the store; the shop server determines whether the commodities similar to the purchase intention of the user exist or not through traversing and inquiring the similar commodity ID mapping table for multiple times, if yes, whether the quantity of the commodities is zero or not is judged through the commodity detail information, and if not, the shop is indicated to have the commodities similar to the purchase intention of the user; if the value is zero, the shop is indicated that no commodity similar to the purchase intention of the user exists.
Step S17: the shop server accesses the local database, reads the video information of the commodity advertisement with the purchase intention of the user, and drives the display screen at the position of the shop door to display.
Step S18: the shop server accesses the local database and reads the commodity advertisement video information similar to the purchase intention of the user, and then drives a display screen at the position of the shop door to display.
Here, in step S17 and step S18, the commercial advertisement video file is stored in the folder of the store server. When the shop server accesses the local database, the path stored in the commodity is determined by accessing and reading the commodity ID-advertisement video file path mapping table, so that the commodity advertisement video file under the path is read.
And the mobile phone APP of the user sends the mobile phone equipment ID and the longitude and latitude information of the user to an address server of the area where the user is located in real time based on a 2G, 3G, 4G or 5G network.
A second embodiment, as shown in fig. 1 and 2.
Scene 1: when only one user passes around the store while the user is interested in multiple items within the store.
If the commodities which are the same as or similar to the purchase intention of the user exist in the shop and the quantity of the commodities is not zero, the fact that the commodities which are interested by the user exist in the shop is indicated.
If a plurality of commodities in the store which the user is interested in simultaneously exist, if the door position of the store is provided with a plurality of display screens, the plurality of display screens respectively play the commodity advertisement which the user is interested in; if the position of the door of the shop is only provided with one display screen, the display screen plays a plurality of commercial advertisements interested by the user in turn.
Scene 2: when multiple users pass around the store at the same time, and only one user is interested in multiple commodities in the store.
If the commodities which are the same as or similar to the purchase intention of the user exist in the shop and the quantity of the commodities is not zero, the fact that the commodities which are interested by the user exist in the shop is indicated.
If only one of the multiple users is interested in multiple commodities in the store, the display screen at the position of the door of the store only displays the commodities which are interested by the user.
If a plurality of commodities in the store which the user is interested in simultaneously exist, if the door position of the store is provided with a plurality of display screens, the plurality of display screens respectively play the commodity advertisement which the user is interested in; if the position of the door of the shop is only provided with one display screen, the display screen plays a plurality of commercial advertisements interested by the user in turn.
Scene 3: when a plurality of users pass around the store at the same time, if the plurality of users are interested in a plurality of commodities in the same store at the same time.
If the commodities which are the same as or similar to the purchase intention of the user exist in the shop and the quantity of the commodities is not zero, the fact that the commodities which are interested by the user exist in the shop is indicated.
If multiple users are simultaneously interested in multiple items in the same store, for example, five users A, B, C, D and E are located around the store at the same time. If there are three items in the store, aa, bb and cc are numbered. Where user A is interested in items aa, bb, and cc, user C is interested in items bb and cc, user E is interested in item cc, and user B and user D are not interested in any items. The server of the shop counts all the commodities interested by the five users, wherein the commodity aa appears for 3 times and the weight is the largest; the commodity bb appears for 2 times, and the weight is the second; the commodity cc appears for 1 time, and the weight is the minimum; the server of the store then ranks the items of interest to the five users according to the weight.
If the door position of the shop has a plurality of display screens, the plurality of display screens respectively play the commodity advertisement which is interested by the user; if the position of the door of the shop is only provided with one display screen, the display screen weights the advertisement time of the three commodities according to the arrangement sequence of the three commodities, and the advertisement weight of the commodities which are arranged closer to the front is larger, the advertisement playing time is longer, and the playing speed is slower; the closer the commodity advertisement weight value is, the shorter the advertisement playing time is, and the faster the advertisement playing speed is.
A third embodiment, as in fig. 1.
The update operation of the advertisement video set stored in each shop server is as follows.
The advertisement video sets of all the commodities stored in each shop server are subsets of the advertisement video sets of all the commodities stored in the advertisement servers, the commodity advertisement videos stored in each shop server are derived from the advertisement servers, and the commodity advertisement videos stored in each shop server are synchronously updated in real time according to the commodities in the shops.
A plurality of shops are arranged under each brand operator flag, and the goods types and the goods quantity of the shops in different regions are different, so that the commodity advertisements obtained from the advertisement server by each shop according to the commodity ID stored in the shop server are different, and when the advertisement video of a certain commodity in the advertisement server is changed, the advertisement video stored in the shop server with the commodity ID is synchronously updated. When the product ID stored in the store is added or deleted, the advertisement video stored in the store server is updated synchronously.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention; all equivalent changes and modifications made according to the present invention are covered by the scope of the claims of the present invention.
Claims (5)
1. A method for triggering accurate placement of offline physical store product advertisements based on user positions is characterized by comprising the following steps:
step S11: after the APP software in the mobile phone acquires the access authority of the user positioning information and authorizes the access authority, the mobile phone APP of the user sends the mobile phone equipment ID and longitude and latitude information of the user to an address server of an area where the user is located in real time; after receiving the information sent by the user mobile phone APP, the address server maps the longitude and latitude information sent by the user mobile phone APP into an electronic map in real time;
step S12: the address server calculates and judges whether the distance between the user and each peripheral shop is smaller than a preset trigger distance or not; in the electronic map, if the distance between the user and the peripheral shops is smaller than the preset trigger distance, executing the step S13, otherwise, returning to execute the step S11;
step S13: the address server determines the server ID of the peripheral shop by accessing a shop position-shop server ID mapping table, then marks the server ID of the peripheral shop meeting the distance condition, and then sends the mobile phone equipment ID of the user and the marked shop server ID to the user behavior analysis server;
step S14: after the user behavior analysis server receives the message sent by the address server, the user behavior analysis server firstly analyzes shopping behavior information of a user such as browsing records, shopping records and shopping carts on each shopping platform through big data to acquire commodity ID information of the user with the recent purchasing intention, and then the user behavior analysis server respectively sends the commodity ID information of the user with the purchasing intention to each marked shop server;
step S15: after each marked shop server receives the commodity ID information which is sent by the user behavior analysis server and has the purchase intention of the user, each marked shop judges whether a commodity which has the purchase intention of the user exists in the shop or not; the marked shop server determines whether the commodities which the user has the purchasing intention exist or not by traversing and inquiring the commodity ID-commodity detail information mapping table for multiple times, and if yes, whether the quantity of the commodities is zero or not is judged through the commodity detail information; if yes, go to step S16; if not, go to step S17;
step S16: each marked shop judges whether a commodity similar to the purchase intention of the user exists in the shop or not; each marked shop server inquires a similar commodity ID mapping table through multiple traversals to determine whether a commodity similar to the purchase intention of the user exists, and if so, whether the quantity of the commodity is zero is judged through commodity detail information; if not, go to step S18; if the value is zero, returning to execute the step S11;
step S17: the shop server accesses a local database, reads commodity advertisement video information of which the user has purchasing intention, and drives a display screen at the position of a shop door to display the commodity advertisement video information;
step S18: the shop server accesses a local database, reads commodity advertisement video information similar to the purchase intention of the user, and then drives a display screen at the position of a shop door to display;
in steps S17 and S18, the commercial advertisement video file is stored in the folder of the store server; when the shop server accesses the local database, determining a path stored by a commodity by accessing and reading a commodity ID-advertisement video file path mapping table, and reading a commodity advertisement video file under the path;
the APP software comprises: acquiring the access authority of the user positioning information, and transmitting the longitude and latitude information of the user to an address server of an area where the user is located in real time;
the address server: the system comprises a database, a database server and a database server, wherein the database is used for storing and accessing an electronic map and all store positions-store server ID mapping tables;
the user behavior analysis server: storing and analyzing shopping behavior information of a user on each shopping platform, such as browsing records, shopping carts and the like through big data, and acquiring commodity ID information which the user has an intention to buy recently;
the store server: for storing and accessing the database and a portion of the merchandise advertisement video file; wherein, the database includes: a part of commodity ID-commodity detail information mapping table, a part of commodity ID-advertisement video file path mapping table and a part of similar commodity ID mapping table;
the advertisement server: the system is used for storing and accessing the database and the commodity advertisement video files corresponding to all commodity IDs; wherein, the database includes: all commodity ID-commodity detail information mapping tables, all commodity ID-advertisement video file path mapping tables, and all similar commodity ID mapping tables.
2. The method for triggering accurate placement of advertisements in an off-line physical store based on user location as claimed in claim 1, wherein the set of advertisement videos of all products stored in each store server is a subset of the set of advertisement videos of all products stored in the advertisement server, the advertisement videos of products stored in each store server are derived from the advertisement server, and the advertisement videos of products stored in each store server are updated synchronously in real time according to the products in the store.
3. The method for triggering accurate placement of offline physical store product advertisements based on user location as recited in claim 1, wherein: the commodity advertisement video file is stored in a folder of the shop server; when the shop server accesses the local database, the path stored in the commodity is determined by accessing and reading the commodity ID-advertisement video file path mapping table, so that the commodity advertisement video file under the path is read.
4. The method for triggering accurate placement of offline physical store product advertisements based on user location as recited in claim 1, wherein: one or more display screens are mounted at a location in front of the store doorway or on a wall of the store doorway.
5. The method for triggering accurate placement of product advertisements in an off-line physical store based on user location as claimed in claim 1, wherein if multiple users are interested in multiple commodities in the same store at the same time, the display screen weights the advertisement durations of the commodities according to the arrangement order of the commodities, and the advertisement weights of the commodities arranged closer to the front are larger, the advertisement playing time is longer, and the playing speed is slower; the closer the commodity advertisement weight value is, the shorter the advertisement playing time is, and the faster the advertisement playing speed is.
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| CN113763052A (en) * | 2021-09-14 | 2021-12-07 | 胜斗士(上海)科技技术发展有限公司 | Method for determining geographic service range of shop |
| CN113763036A (en) * | 2021-08-17 | 2021-12-07 | 山东派盟网络科技有限公司 | Information delivery method, device, apparatus, electronic device and medium |
| CN116402539A (en) * | 2023-06-08 | 2023-07-07 | 北京吉欣科技有限公司 | Method, system, equipment and storage medium for guest development based on big data |
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