Message pushing method integrating dynamic geographic area network points

Abstract

The invention discloses a message pushing method integrating dynamic geographic area network points, and belongs to the technical field of information pushing. The invention discloses a message pushing method integrating dynamic geographic area network points. The message pushing method comprises the steps of establishing an industry user database, forming a target user list, matching a proper message pushing mode according to basic conditions of users, analyzing a message pushing result and updating the message pushing result into the database. According to the invention, the problems of high cost, wide pushing range, low transaction efficiency and poor user experience caused by indifference pushing in the prior art are solved. According to the method, the problems of information asymmetry and supply and demand imbalance in the renewable resource industry are solved, the demands of the supply and demand parties are accurately identified and matched, and the service matching information is pushed to the upstream and downstream of the industry chain in a message manner, so that the information of the supply and demand parties is symmetric and transparent, and a powerful support channel is provided for realizing the matching of the supply and demand parties.

Description

Technical Field

[0001] The present invention relates to the technical field of information push, and in particular to a message push method integrating dynamic geographical area network points. Background Art

[0002] With the rapid development of information technology, message push has become one of the important means of communication between enterprises and users. Message push plays a key role in promoting transactions between supply and demand parties, especially in the renewable resources industry that promotes sustainable development and circular economy construction. In the renewable resources industry, recycling companies, as the middle link of the renewable resources industry chain, play a vital bridge role. Recycling companies purchase renewable resources from large waste-producing companies and small waste-producing retail households upstream of the industry chain, and sell them to waste-using companies downstream of the industry chain. In this process, how recycling companies promote themselves to the upstream and downstream of the industry chain, how to quickly and accurately push procurement needs and sales intentions to target groups to increase business volume and efficiency, is the focus of recycling companies.

[0003] However, for recycling companies, the traditional message push method has some obvious shortcomings, which limit its effectiveness in practical applications. There are roughly the following problems:

[0004] 1. Indiscriminate push leads to high costs: Traditional message push usually adopts indiscriminate SMS group sending. This approach not only has high SMS charges, but also often leads to low user perception due to lack of targeting, and even creates a sense of harassment.

[0005] Second, the push range is wide but the transaction efficiency is low: Due to the lack of precision in the push targets, most of the pushed messages fail to reach the real target users, and the transaction efficiency is low. According to statistics, only about 60% of the target groups of message push in the traditional way are potential customers, and the transaction conversion rate is about 20%.

[0006] 3. Poor user experience: Frequent and irrelevant message push may cause user disgust, which in turn affects brand image and user loyalty. Summary of the invention

[0007] The purpose of the present invention is to provide a message push method integrating dynamic geographic area outlets, accurately identifying target user groups, multi-channel message push and dynamic data analysis and feedback, improving the effect of message push and user experience, and solving the problems raised in the above-mentioned background technology.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A message push method integrating dynamic geographic area network points comprises the following steps:

[0010] S01. Establish a user database for the renewable resources industry, record basic user information and business information, and gradually form user portraits during the process of information recording and business development;

[0011] Among them, user basic information and business information include but are not limited to user name, contact information, geographic location, user business nature, user role, user authentication identifier, user characteristics, business scope, business categories, business materials, business characteristics, business preferences, transaction frequency, message sensitivity, transaction frequency, last transaction time, transaction conversion rate;

[0012] S02. Preliminarily select, identify and match users in the industry user database according to the business form of the outlets, and finally find the target user group and form a target user list;

[0013] S03. After forming a list of target users, match the appropriate message push method according to the user information, form a list of messages to be pushed, and push business activity messages in batches;

[0014] Among them, message push methods include but are not limited to SMS push, phone push, WeChat public account push and in-site message push, and different push methods are selected according to whether the user is authenticated;

[0015] Among them, business activity messages include but are not limited to material price information, price change information and promotional activity information;

[0016] S04. After the message is pushed, the user's behavior is tracked, the user's behavior data is recorded, and the behavior data is analyzed to determine the user's acceptance of the message push, calculate the conversion rate of the message push, dynamically evaluate the user's behavior and business dynamics, improve the user's characteristics, and add them to the industry user database;

[0017] The user's behavior data at least includes whether the user clicks, the click time, whether the user reads, whether there is a reading mark, and whether there is online transaction behavior.

[0018] Preferably, with respect to S02, the business forms of the outlets include acquisition business and sales business, and the roles of the target user groups are divided into suppliers and demanders;

[0019] Among them, according to the categories and materials that the current outlets need to purchase, search the user database of the recycling industry, screen out the categories and materials that match the categories and materials purchased by the outlets, and the user list whose role is supplier, form a preliminary user list, and then analyze the distance between the user's location and the outlet, user characteristics, business characteristics, sensitivity of message push, recent transaction time and transaction conversion rate based on the preliminary user list and match them;

[0020] According to the categories and materials currently sold at the outlets, search the user database of the recycling industry, screen out the user list whose categories and materials match those sold at the outlets and whose role is a demander, form a preliminary user list, and then analyze the distance between the user's location and the outlets, user characteristics, business characteristics, sensitivity to message push, last transaction time and transaction conversion rate based on the preliminary user list and match them;

[0021] Preferably, with respect to S02, the K-means clustering algorithm is used in combination with the matching criteria to calculate and match the preliminary selection result list to obtain the target user list, specifically:

[0022] The preliminary selection result list X = {x1, x2, ..., x n}Divide into K = 10 clusters:

[0023] C={C1,C2,…,C K}

[0024] Each cluster C k There is a cluster center μ k , then the objective function is:

[0025]

[0026] Randomly select K data points from the data set as the initial cluster centers μ1, μ2, …, μ K ;

[0027] For each data point x in the dataset i , calculate its distance to the K cluster centers as:

[0028] d(x i , μ k )=||x i -μ k || 2

[0029] Then x i Assign to the nearest cluster center μ j Cluster C j ,Right now:

[0030]

[0031] After all data points are assigned, recalculate the cluster center of each cluster. k , its new cluster center is:

[0032]

[0033] Where |C k | is cluster C kThe number of data points in ;

[0034] Repeat the steps of assigning data points and updating cluster centers until the cluster centers no longer change significantly and users who meet the matching criteria are distributed in C k middle.

[0035] Preferably, with respect to S03, if the user has been authenticated, SMS push, WeChat public account push and in-site message push are adopted; if the user has not been authenticated, SMS push and telephone push are adopted.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. The present invention records detailed information of users, including basic information, business preferences, geographic location, etc., by establishing an industry user database. These data are used for preliminary selection, identification and matching, and finally a target user list is formed. This process uses the K-means clustering algorithm to ensure the high accuracy of the target user group, so that more than 95% of the push objects are potential customers, thereby greatly reducing the proportion of invalid pushes, reducing SMS fees, and saving costs of 5,000 yuan per year.

[0038] 2. The present invention adopts different message push methods according to whether the user is authenticated. Authenticated users can receive information through multiple channels such as text messages, WeChat public accounts and in-site messages, while unauthenticated users mainly receive information through text messages. This method not only improves the message delivery rate, but also better meets the needs of different users, improves the message delivery rate and user receiving experience, avoids the limitations of single-channel push, and improves user satisfaction and interaction rate, thereby improving transaction efficiency and production efficiency by more than 35%.

[0039] 3. The present invention dynamically evaluates user behavior and business dynamics through analysis of message push results, and records user reading marks, click times, and online transaction behaviors. These data will be used to update and supplement the industry user database, providing more valuable references for future business activities. By continuously optimizing the user database, the accuracy of target user identification is improved, and subsequent business activities are optimized. Dynamic data analysis can also help companies better understand user needs, improve the scientificity and accuracy of business decisions, and increase the transaction conversion rate from 20% to more than 50%, an increase of more than 30%. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a flow chart of the message pushing method of the present invention;

[0041] Figure 2 Detailed flowchart of the push method of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] In order to solve the problems of high cost, wide push range but low transaction efficiency and poor user experience caused by indiscriminate push in existing technologies, please refer to Figure 1-2 , this embodiment provides the following technical solutions:

[0044] A message push method integrating dynamic geographic area network points comprises the following steps:

[0045] S01. Establish a user database for the renewable resources industry, record basic user information and business information, and gradually form user portraits during the process of information recording and business development;

[0046] Among them, user basic information and business information include but are not limited to user name, contact information, geographic location, user business nature, user role, user authentication identifier, user characteristics, business scope, business categories, business materials, business characteristics, business preferences, transaction frequency, message sensitivity, transaction frequency, last transaction time, transaction conversion rate;

[0047] The industry user database is the foundation for all business operations and a key factor in accurately identifying target users.

[0048] The information structure of the industry user database is as follows:

[0049]

[0050] The sample data is as follows:

[0051]

[0052]

[0053] S02. Preliminarily select, identify and match users in the industry user database according to the business form of the outlets, and finally find the target user group and form a target user list;

[0054] Among them, the business forms of the outlets include acquisition business and sales business, and the roles of the target user groups are divided into suppliers and demanders;

[0055] Among them, according to the categories and materials that the current outlets need to purchase, search the user database of the recycling industry, screen out the categories and materials that match the categories and materials purchased by the outlets, and the user list whose role is supplier, form a preliminary user list, and then analyze the distance between the user's location and the outlet, user characteristics, business characteristics, sensitivity of message push, recent transaction time and transaction conversion rate based on the preliminary user list for matching;

[0056] According to the categories and materials currently sold at the outlets, search the user database of the recycling industry, screen out the user list whose categories and materials match those sold at the outlets and whose role is a demander, form a preliminary user list, and then analyze the distance between the user's location and the outlets, user characteristics, business characteristics, sensitivity of message push, last transaction time and transaction conversion rate based on the preliminary user list for matching;

[0057] Taking the acquisition business as an example, the K-means clustering algorithm is used in combination with the following matching criteria to calculate and match the preliminary selection result list:

[0058]

[0059]

[0060] The preliminary selection result list X = {x1, x2, ..., x n}Divide into K = 10 clusters:

[0061] C={C1,C2,…,C K}

[0062] Each cluster C k There is a cluster center μ k , then the objective function is:

[0063]

[0064] Randomly select K data points from the data set as the initial cluster centers μ1, μ2, …, μ K ;

[0065] For each data point x in the dataset i , calculate its distance to the K cluster centers as:

[0066] d(x i , μ k )=||x i -μ k || 2

[0067] Then x i Assign to the nearest cluster center μ j Cluster Cj ,Right now:

[0068]

[0069] After all data points are assigned, recalculate the cluster center of each cluster. k , its new cluster center is:

[0070]

[0071] Where |C k | is cluster C k The number of data points in ;

[0072] Repeat the steps of allocating data points and updating cluster centers until the cluster centers no longer change significantly. At this point, users with the same characteristics as the above matching criteria are distributed in C k At this point, after calculating the preliminary list through the above clustering algorithm, the target user list is obtained.

[0073] S03. After forming a list of target users, match the appropriate message push method according to the user information, form a list of messages to be pushed, and push business activity messages in batches;

[0074] Among them, message push methods include but are not limited to SMS push, phone push, WeChat public account push and in-site message push, and different push methods are selected according to whether the user is authenticated;

[0075] Among them, business activity messages include but are not limited to material price information, price change information and promotional activity information;

[0076] If the user is authenticated, SMS push, WeChat public account push and in-site message push are used. If the user is not authenticated, SMS push and phone call push are used.

[0077] The message push list is as follows:

[0078]

[0079] Among them, the template for message push is as follows:

[0080] A month B day C: D, see details: E.

[0081] A: Month; B: Date; C: Name of outlet; D: Material price and price fluctuation; E: Detailed information link, click to view details, you can view price details and online transactions;

[0082] The following is an example of message content:

[0083] On October 23, Liaoning Jiheyuan Benxi Xihu Central Base: heavy scrap 3200 fell by 30, and steel bar pellets 2830 rose by 40. For details, see https: / / XXXXXX.

[0084] S04. After the message is pushed, the user's behavior is tracked, the user's behavior data is recorded, and the behavior data is analyzed to determine the user's acceptance of the message push, calculate the conversion rate of the message push, dynamically evaluate the user's behavior and business dynamics, improve the user's characteristics, and add them to the industry user database so that the database can be updated in a timely manner. After continuous updates and iterations, the database can accurately reflect the real-time and latest dynamics of industry users, improve the accuracy of target user identification, and thus better guide business activities;

[0085] Among them, the user's behavior data at least includes whether the user clicks, the click time, whether the user reads, whether there is a reading mark, and whether there is online transaction behavior, so as to dynamically evaluate the user's behavior and business dynamics.

[0086] Working principle: The present invention builds a comprehensive industry user database by recording the user's basic information and business information, including contact information, geographic location, business preferences, etc.; utilizes the industry user database to conduct preliminary selection, identification and matching through factors such as user role, location, business preferences, etc., and finally forms a list of target users to ensure that more than 95% of the push objects are potential customers; adopts different message push methods according to whether the user is authenticated or not. Authenticated users can receive information through multiple channels such as SMS, WeChat public accounts and in-site messages, while unauthenticated users mainly receive information through SMS. The message content is customized according to the business scenario to ensure the accuracy and relevance of the information; analyzes the message push results, dynamically evaluates user behavior and business dynamics, records users' reading marks, click times and online transaction behaviors, etc., updates and supplements the industry user database, and provides more valuable references for future business activities.

[0087] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0088] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and variations can be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A message push method integrating dynamic geographical area network points, characterized in that: The following steps are involved: S01. Establish a user database for the renewable resources industry, record basic user information and business information, and gradually form user portraits during the process of information recording and business development; Among them, user basic information and business information include but are not limited to user name, contact information, geographic location, user business nature, user role, user authentication identifier, user characteristics, business scope, business categories, business materials, business characteristics, business preferences, transaction frequency, message sensitivity, transaction frequency, last transaction time, transaction conversion rate; S02. Preliminarily select, identify and match users in the industry user database according to the business form of the outlets, and finally find the target user group and form a target user list; S03. After forming a list of target users, match the appropriate message push method according to the user information, form a list of messages to be pushed, and push business activity messages in batches; Among them, message push methods include but are not limited to SMS push, phone push, WeChat public account push and in-site message push, and different push methods are selected according to whether the user is authenticated; Among them, business activity messages include but are not limited to material price information, price change information and promotional activity information; S04. After the message is pushed, the user's behavior is tracked, the user's behavior data is recorded, and the behavior data is analyzed to determine the user's acceptance of the message push, calculate the conversion rate of the message push, dynamically evaluate the user's behavior and business dynamics, improve the user's characteristics, and add them to the industry user database; The user's behavior data at least includes whether the user clicks, the click time, whether the user reads, whether there is a reading mark, and whether there is online transaction behavior.

2. A message push method integrating dynamic geographic area network points according to claim 1, characterized in that: As stated in S02, the business forms of outlets include acquisition business and sales business, and the roles of target user groups are divided into suppliers and demanders; Among them, according to the categories and materials that the current outlets need to purchase, search the user database of the recycling industry, screen out the categories and materials that match the categories and materials purchased by the outlets, and the user list whose role is supplier, form a preliminary user list, and then analyze the distance between the user's location and the outlet, user characteristics, business characteristics, sensitivity of message push, recent transaction time and transaction conversion rate based on the preliminary user list and match them; According to the categories and materials currently sold at the outlets, search the user database of the recycling industry, screen out the categories and materials that match the categories and materials sold at the outlets, and select a list of users whose role is a demander to form a preliminary user list. Based on the preliminary user list, analyze the distance between the user's location and the outlet, user characteristics, business characteristics, sensitivity to message push, most recent transaction time, and transaction conversion rate, and make matches.

3. A message push method integrating dynamic geographic area network points according to claim 2, characterized in that: In view of S02, the K-means clustering algorithm is used in combination with the matching criteria to calculate and match the preliminary selection result list to obtain the target user list, which is specifically: The preliminary selection result list X = {x1, x2, ..., x n } Divide into K = 10 clusters: C = {C1, C2, ..., C K }· Each cluster C k There is a cluster center μ k , then the objective function is: Randomly select K data points from the data set as the initial cluster centers μ1, μ2, …, μ K ; For each data point x in the dataset i , calculate its distance to the K cluster centers as: d(x i ,m k )=||x i -m k || 2 Then x i Assign to the nearest cluster center μ j Cluster C j ,Right now: After all data points are assigned, recalculate the cluster center of each cluster. k , its new cluster center is: Where |C k | is cluster C k The number of data points in ; Repeat the steps of assigning data points and updating cluster centers until the cluster centers no longer change significantly and users who meet the matching criteria are distributed in C k middle.

4. The message push method integrating dynamic geographic area network points according to claim 3, characterized in that: Regarding S03, if the user has been authenticated, SMS push, WeChat public account push and in-site message push are used; if the user has not been authenticated, SMS push and phone push are used.

Images