Business touch method and device, computer equipment, readable storage medium and program product

Abstract

The invention relates to a service touch method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: analyzing a triggering action of a user based on a behavior analysis algorithm to obtain behavior analysis data; if the behavior analysis data meets a first response condition in the response strategy, storing a user identifier corresponding to the user and a to-be-pushed timestamp into a to-be-touched user queue; and when the to-be-pushed timestamp is reached and an end behavior of the user identifier is not detected, sending a reminding message to the user through a preset arriving strategy. By adopting the method, the service interruption condition of the user can be captured in time, and quick and accurate response is realized.

Description

Technical Field

[0001] This application relates to the field of data analysis technology, and in particular to a business outreach method, apparatus, computer equipment, readable storage medium, and program product. Background Technology

[0002] With the development of technology in the field of digital insurance services, core technologies such as online self-service business processing technology and intelligent terminal service systems have emerged. These technologies are characterized by convenience, 24 / 7 availability, and low cost. They enable users to independently complete the entire process of business operations, such as insurance application, policy maintenance, and claims reporting, through designated operating software, without relying on offline branch counter services, thus greatly improving the flexibility and efficiency of business processing.

[0003] In related technologies, online service scenarios in the fintech field (such as life insurance apps, bank apps, and e-commerce platforms) only remind users when they haven't completed a specific transaction. This results in a high rate of missed transaction notifications when users are performing transactions on the software. Summary of the Invention

[0004] Therefore, it is necessary to provide a business outreach method, apparatus, computer equipment, readable storage medium, and program product that can reduce the leakage rate of business operations in response to the above-mentioned technical problems.

[0005] Firstly, this application provides a business outreach method, including:

[0006] Behavioral analysis data is obtained by analyzing user trigger actions based on behavioral analysis algorithms.

[0007] If the behavioral analysis data meets the first response condition in the response strategy, then the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0008] When the push notification timestamp is reached and no termination behavior of the user identifier is detected, a reminder message is sent to the user according to a preset outreach strategy.

[0009] In one embodiment, the response strategy includes one or more of the following: user identifier type, start behavior, end behavior, reach time, user understanding center selection strategy, and reminder message template.

[0010] In one embodiment, if the behavior analysis data satisfies the first response condition in the response strategy, then storing the user identifier and the push notification timestamp corresponding to the user in the queue of users to be reached includes:

[0011] If the behavioral action in the behavioral analysis data matches the start behavior in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the behavioral analysis data is determined to satisfy the first response condition in the response strategy, and the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0012] In one embodiment, the method further includes:

[0013] If the behavioral action in the behavioral analysis data matches the termination action in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached.

[0014] In one embodiment, the method further includes:

[0015] If the behavioral action in the behavioral analysis data matches the start behavior or the end behavior in the response strategy, and the user identifier does not meet the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached.

[0016] In one embodiment, sending a reminder message to the user via a preset reach strategy includes:

[0017] In the correspondence between identifier type and message reminder template, determine the type of the user identifier and the corresponding target message reminder template;

[0018] Based on the target message reminder template, a message reminder is sent to the user.

[0019] Secondly, this application also provides a business outreach device, comprising:

[0020] The analysis module is used to analyze the user's triggered actions based on behavior analysis algorithms to obtain behavior analysis data;

[0021] The matching module is used to store the user identifier and push timestamp corresponding to the user in the queue of users to be reached if the behavior analysis data meets the first response condition in the response strategy.

[0022] A sending module is used to send a reminder message to the user according to a preset reach strategy when the push time stamp is reached and no end behavior of the user identifier is detected. Thirdly, this application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the following steps:

[0023] Behavioral analysis data is obtained by analyzing user trigger actions based on behavioral analysis algorithms.

[0024] If the behavioral analysis data meets the first response condition in the response strategy, then the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0025] When the push notification timestamp is reached and no termination behavior of the user identifier is detected, a reminder message is sent to the user according to a preset outreach strategy.

[0026] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, performs the following steps:

[0027] Behavioral analysis data is obtained by analyzing user trigger actions based on behavioral analysis algorithms.

[0028] If the behavioral analysis data meets the first response condition in the response strategy, then the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0029] When the push notification timestamp is reached and no termination behavior of the user identifier is detected, a reminder message is sent to the user according to a preset outreach strategy.

[0030] Fifthly, this application also provides a computer program product, including a computer program that, when executed by a processor, performs the following steps:

[0031] Behavioral analysis data is obtained by analyzing user trigger actions based on behavioral analysis algorithms.

[0032] If the behavioral analysis data meets the first response condition in the response strategy, then the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0033] When the push notification timestamp is reached and no termination behavior of the user identifier is detected, a reminder message is sent to the user according to a preset outreach strategy.

[0034] The aforementioned business outreach methods, devices, computer equipment, readable storage media, and program products analyze user trigger actions to obtain action analysis data, enabling real-time detection of user behavior within the application. They associate user trigger actions with corresponding business processes. If the action analysis data meets the first response condition in the response strategy, the user's corresponding user identifier and the push notification timestamp are stored in the user queue to facilitate subsequent user behavior detection. When the push notification timestamp is reached and no user-identified end behavior is detected, a reminder message is sent to the user according to a preset outreach strategy. This achieves the capture of user business terminal status and, combined with specific user information, enables outreach to users via reminder messages, thereby improving response efficiency and accuracy, further enhancing business conversion rates and user experience. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application or related technologies, the drawings used in the description of the embodiments of this application or related technologies will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a flowchart illustrating a business outreach method in one embodiment;

[0037] Figure 2 This is a structural block diagram of a service outreach device in one embodiment;

[0038] Figure 3 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0040] In one exemplary embodiment, such as Figure 1 As shown, a service outreach method is provided. This embodiment illustrates the method applied to a terminal, but it is understood that the method can also be applied to a server, or to a system including both a terminal and a server, and is implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0041] Step 101: Analyze the user's trigger actions based on the behavior analysis algorithm to obtain behavior analysis data.

[0042] In this context, a triggering action refers to an action initiated by a user on the target application's interface on the terminal. Triggering actions can include clicking, swiping (browsing), and purchasing actions on the interface, etc., and are used for illustrative purposes only, not as a specific limitation. Behavioral analysis algorithms decompose triggering actions to determine the corresponding business transactions. Behavioral analysis data reflects specific user behaviors, such as clicking on the details page of a business item on the interface, or purchasing a paid item on the interface. Action analysis data includes user actions and the corresponding business transactions.

[0043] Specifically, the terminal can collect the user's trigger actions on the target application's operation interface. These trigger actions can be in the form of strings. The terminal can pre-set the correspondence between each field and the business, that is, the terminal can determine the relevant business corresponding to each field in the trigger action based on the correspondence between fields and businesses.

[0044] Step 102: If the behavioral analysis data meets the first response condition in the response strategy, then store the user's corresponding user identifier and the push notification timestamp into the queue of users to be reached.

[0045] Each user can be assigned one or more response strategies. These strategies can be business matching strategies set according to the target audience of each service. The first response condition is that the user's behavioral analysis data matches the initial behavior of the service and that the user belongs to the target group of the service. Each service corresponds to one response strategy, and each response strategy can correspond to one type of user, or multiple response strategies can correspond to one type of user. The push notification timestamp and the triggering action time are related to the reach time, which is the duration from the start to the end of the service action. The reach time can be determined based on the type of service, and a specific value is not limited here.

[0046] Specifically, the terminal can match behavioral analysis data with the response strategy. If the behavioral analysis data meets the first response condition of the response strategy, it is determined that the behavioral analysis data relates to the business of the response strategy, and that the user is the target group of the business. The terminal can obtain the user's identifier and store the user identifier and the push notification timestamp in the queue of users to be reached.

[0047] Step 103: When the push notification time stamp is reached and no user-identified end behavior is detected, a reminder message is sent to the user through the preset outreach strategy.

[0048] The termination action refers to the action expected to be triggered by the user. The preset outreach strategy includes the triggering method and the outreach content. The outreach method is how the reminder message is sent to the user; this method is related to how the user logs into the application. For example, if the user logs into the application using a mobile phone number, the outreach method could be a message reminder. The outreach content is the specific content of the reminder message sent to the user; this content is related to specific business requirements. The reminder message is a message informing the user that the termination action has been completed.

[0049] Specifically, the terminal can periodically traverse the users in the queue to be reached. If it detects that the push notification time stamp has been reached and no end behavior of the user has been collected, it will send a reminder message to the user through a preset reach strategy.

[0050] The aforementioned business outreach method analyzes user trigger actions to obtain action analysis data, enabling real-time detection of user behavior within the application. It associates user trigger actions with corresponding business functions. If the action analysis data meets the first response condition in the response strategy, the user's corresponding user identifier and the push notification timestamp are stored in the queue of users to be reached, facilitating the detection of subsequent user behavior. When the push notification timestamp is reached and no further action by the user identifier is detected, a reminder message is sent to the user according to a preset outreach strategy. This method captures the user's business terminal status and, combined with the specific user, reaches the user through reminder messages, thereby improving response efficiency and accuracy, further enhancing business conversion rates and user experience.

[0051] In one exemplary embodiment, the response strategy includes one or more of the following: user identifier type, start behavior, end behavior, reach time, user understanding center selection strategy, and reminder message template.

[0052] The user identifier type refers to the platform through which the user logs in or registers for the application. For example, a user might register or log in to an application using their mobile phone number. The start and end behaviors are pre-set; they can be one-to-one or multiple start behaviors corresponding to one end behavior. The start behavior represents the triggering action performed by the user, indicating interest in the corresponding end behavior. The end behavior is the expected final triggering action for the user. For example, if the start behavior is to receive complimentary insurance, the corresponding end behavior is to purchase short-term insurance. The reach time refers to the duration between the start and end behaviors. The specific reach time can be set based on actual business factors and is not specifically limited here. The user understanding center selection strategy refers to a pre-defined user group that meets the target business project. The reminder message template refers to the reach method and content for pushing different target business projects to different user identifier types. It should be understood that the start behavior, end behavior, and reminder message template corresponding to the response strategy can be set according to specific business and usage scenarios and are not specifically limited here.

[0053] Specifically, terminals can pre-configure different response strategies based on different services.

[0054] Optionally, the terminal can set the ID of the user understanding center selection strategy for each response strategy. The user understanding center selection strategy can be limited by factors such as gender, age, and insured amount. For example, the user understanding center selection strategy in the response strategy of business A can be set to "male, age over 30 years old", that is, the group corresponding to this user understanding center selection strategy is the target group of business A.

[0055] In this embodiment, by setting a response strategy, the user's triggered actions can be matched, enabling the parsing and matching of the user's triggered actions in the application, achieving real-time tracking of the user, timely capturing the status of the user's business terminal, improving the conversion rate of the business, increasing the efficiency of the user in selecting the appropriate business, and thus improving the user experience.

[0056] In an exemplary embodiment, the specific implementation process of step 102, "If the behavioral analysis data meets the first response condition in the response strategy, then store the user identifier and the push-to-user timestamp corresponding to the user in the queue to be reached," may include:

[0057] If the behavioral action in the behavioral analysis data matches the start behavior in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the behavioral analysis data is determined to meet the first response condition in the response strategy, and the user identifier and the push-to-user timestamp corresponding to the user are stored in the queue of users to be reached.

[0058] Specifically, the terminal can match the behavior analysis data with the response strategy of each service. If the behavior action in the behavior analysis data matches the initial behavior, and the user identifier conforms to the user understanding center selection strategy, then the behavior analysis data is determined to meet the first response condition in the response strategy, and the user identifier and the push-to-the-user timestamp corresponding to the user are stored in the queue of users to be reached.

[0059] Optionally, the terminal can set an identifier corresponding to the user understanding center selection strategy for each response strategy. The terminal can match the user identifier with the user understanding selection strategy identifier to obtain a matching result. If the matching result shows that the user understanding selection strategy identifier is included within the user identifier, then the user identifier is determined to satisfy the user understanding center selection strategy. Optionally, the terminal can use a Redis sorted set (ZSet) structure to store the queue of users to be reached. The queue to be reached may include the user identifier, the push timestamp, and the ID of the response strategy.

[0060] For example, for business A, the corresponding response strategy is that the starting behavior is claiming free insurance, and the ending behavior is purchasing short-term insurance. The user understanding center's selection strategy includes gender as male, age as 60 years or older, and reach duration as 2 days. If the behavioral action in the behavioral analysis data matches the claiming of free insurance in the response strategy, and the user identifier meets the requirements of gender as male and age as 60 years or older, then it is determined that the behavioral analysis data meets the first response condition in the response strategy, and the user's corresponding user identifier and the push notification timestamp are stored in the queue of users to be reached. The push notification timestamp is the time when the starting action is detected plus the reach duration. It should be understood that this understanding is for illustrative purposes only and does not constitute a specific limitation.

[0061] In this embodiment, if the first response condition is met by behavioral analysis data, the user identifier and the push notification timestamp are stored in the queue of users to be reached. This enables the analysis of the user's triggered behavior and the judgment of the behavioral analysis data, thereby achieving real-time detection of the user and facilitating a rapid response to user behavior, thus optimizing the user experience.

[0062] In one exemplary embodiment, the service outreach method further includes:

[0063] If the behavioral action in the behavioral analysis data matches the termination action in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached.

[0064] Specifically, the terminal can match the behavior analysis data with the response strategy of each service. If the behavior action in the behavior analysis data matches the termination behavior, and the user identifier conforms to the user understanding center's selection strategy, then the user identifier is removed from the queue of users to be reached.

[0065] Additionally, after removing a user ID from the queue of users to be reached, the user ID can be updated.

[0066] For example, for business A, if the behavioral action in the behavioral analysis data matches the purchase of short-term insurance in the response strategy, and the user identifier meets the criteria of being male, over 60 years old, and having a reach duration of 2 days, then the user identifier will be removed from the queue of users to be reached. It should be understood that this understanding is for illustrative purposes only and does not constitute a specific limitation.

[0067] In this embodiment, if the behavioral action in the behavioral analysis data matches the termination behavior in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached, thereby removing users who have completed the service from the queue of users to be reached.

[0068] In one exemplary embodiment, the service outreach method further includes:

[0069] If the behavioral action in the behavioral analysis data matches the start behavior or the end behavior in the response strategy, and the user identifier does not meet the user understanding center selection strategy, then the user identifier will be removed from the queue of users to be reached.

[0070] Specifically, the terminal can match behavioral analysis data with the response strategy of each service. If the behavioral action in the behavioral analysis data matches the initial behavior, and the user identifier does not conform to the user understanding center's selection strategy, then the user identifier is removed from the queue of users to be reached.

[0071] For example, for business A, if the behavioral action in the behavioral analysis data matches the claiming of free insurance or the purchase of short-term insurance in the response strategy, and the user identifier does not meet either the gender requirement of being male or the age requirement of being over 60, then the user identifier is removed from the queue of users to be reached. It should be understood that this understanding is for illustrative purposes only and does not constitute a specific limitation.

[0072] In this embodiment, when user behavior data matches the start or end behavior definition in the strategy, but does not match the user understanding center selection strategy in the strategy, the user is removed from the queue. This enables the push of specific services to a specified user group, thereby achieving a fast and accurate response and improving the business conversion rate.

[0073] In an exemplary embodiment, the specific implementation process of step 103, "sending a reminder message to the user through a preset reach strategy," may include:

[0074] In the correspondence between identifier type and message reminder template, determine the target message reminder template corresponding to the user identifier type; based on the target message reminder template, send a message reminder to the user.

[0075] The identifier type refers to the type of application the user logs into. Message notification templates are pre-set in the response strategy; each template is related to the business logic of the response strategy, and the delivery method and content of each template are pre-defined. The user identifier may include the type of application the user logs into.

[0076] Specifically, each response strategy can set a message notification template for each identifier type. The terminal can obtain the type of the user identifier from the user identifier, and determine the target message notification template corresponding to the user identifier type from the correspondence between identifier types and message notification templates. The terminal can then send the message with the triggered content to the user terminal according to the triggering method, such as via SMS reminder, application pop-up reminder, etc.

[0077] Optionally, if no user's ending behavior is collected, a message reminder can be sent to the user periodically. Additionally, the terminal can select user behavior analysis data that only matches the starting behavior, and this matching is used to understand the central selection strategy. The corresponding strategy ID is the effective strategy. The terminal can iterate through all effective strategies according to a preset period, and for users who have reached the push notification time stamp, push notifications are sent according to the target message reminder template. If the user's behavior analysis data is detected to match the ending behavior, the strategy ID is marked as an invalid strategy.

[0078] In this embodiment, when the push notification timestamp is reached and no user identification termination behavior is detected, the target message notification template corresponding to the user identification type is determined from the correspondence between the identification type and the message notification template. Based on the target message notification template, a message notification is sent to the user. This enables differentiated notifications to users by combining flexible message templates, timely capture of the user's terminal status, and reaching the user in different forms, thereby achieving a fast and accurate response and improving the business conversion rate.

[0079] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0080] Based on the same inventive concept, this application also provides a business outreach device for implementing the business outreach method described above. The solution provided by this device is similar to the implementation described in the above method; therefore, the specific limitations in one or more business outreach device embodiments provided below can be found in the limitations of the business outreach method described above, and will not be repeated here.

[0081] In one exemplary embodiment, such as Figure 2 As shown, a service outreach device 20 is provided, comprising: an analysis module 21, a matching module 22, and a sending module 23, wherein:

[0082] Analysis module 21 is used to analyze the user's trigger actions based on behavior analysis algorithms to obtain behavior analysis data;

[0083] The matching module 22 is used to store the user identifier and push timestamp corresponding to the user into the queue of users to be reached if the behavior analysis data meets the first response condition in the response strategy.

[0084] The sending module 23 is used to send a reminder message to the user through a preset reach strategy when the push time stamp is reached and no end behavior of the user identifier is detected.

[0085] In one embodiment, the response strategy includes one or more of the following: user identifier type, start behavior, end behavior, reach time, user understanding center selection strategy, and reminder message template.

[0086] In one embodiment, the matching module 22 is specifically used to determine that the behavior analysis data meets the first response condition in the response strategy if the behavior action of the behavior analysis data matches the start behavior in the response strategy and the user identifier meets the user understanding center selection strategy, and to store the user identifier and push timestamp corresponding to the user in the queue of users to be reached.

[0087] In one embodiment, the service outreach device further includes:

[0088] The first removal module is used to remove the user identifier from the queue of users to be reached if the behavior action in the behavior analysis data matches the termination behavior in the response strategy and the user identifier satisfies the user understanding center selection strategy.

[0089] In one embodiment, the service outreach device further includes:

[0090] The second removal module is used to remove the user identifier from the queue of users to be reached if the behavior action in the behavior analysis data matches the start behavior or the end behavior in the response strategy, and the user identifier does not meet the user understanding center selection strategy.

[0091] In one embodiment, the sending module 23 is used to determine the type of the user identifier and the corresponding target message reminder template in the correspondence between the identifier type and the message reminder template;

[0092] Based on the target message reminder template, a message reminder is sent to the user.

[0093] Each module in the aforementioned service access device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can invoke and execute the operations corresponding to each module.

[0094] In one exemplary embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown, the computer device includes a processor, memory, input / output interfaces, a communication interface, a display unit, and an input device. The processor, memory, and input / output interfaces are connected via a system bus, and the communication interface, display unit, and input device are also connected to the system bus via the input / output interfaces. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The input / output interfaces are used for exchanging information between the processor and external devices. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, Near Field Communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a business outreach method. The display unit is used to form a visually visible image and can be a display screen, a projection device, or a 3D virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[0095] Those skilled in the art will understand that Figure 3The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0096] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to perform the following steps:

[0097] Behavioral analysis data is obtained by analyzing user trigger actions based on behavioral analysis algorithms.

[0098] If the behavioral analysis data meets the first response condition in the response strategy, then the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0099] When the push notification timestamp is reached and no termination behavior of the user identifier is detected, a reminder message is sent to the user according to a preset outreach strategy.

[0100] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0101] The response strategy includes one or more of the following: user identifier type, start behavior, end behavior, reach time, user understanding center selection strategy, and reminder message template.

[0102] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0103] If the behavioral action in the behavioral analysis data matches the start behavior in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the behavioral analysis data is determined to satisfy the first response condition in the response strategy, and the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0104] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0105] If the behavioral action in the behavioral analysis data matches the termination action in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached.

[0106] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0107] If the behavioral action in the behavioral analysis data matches the start behavior or the end behavior in the response strategy, and the user identifier does not meet the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached.

[0108] In one embodiment, the processor, when executing a computer program, also performs the following steps:

[0109] In the correspondence between identifier type and message reminder template, determine the type of the user identifier and the corresponding target message reminder template;

[0110] Based on the target message reminder template, a message reminder is sent to the user.

[0111] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0112] Behavioral analysis data is obtained by analyzing user trigger actions based on behavioral analysis algorithms.

[0113] If the behavioral analysis data meets the first response condition in the response strategy, then the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0114] When the push notification timestamp is reached and no termination behavior of the user identifier is detected, a reminder message is sent to the user according to a preset outreach strategy.

[0115] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0116] The response strategy includes one or more of the following: user identifier type, start behavior, end behavior, reach time, user understanding center selection strategy, and reminder message template.

[0117] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0118] If the behavioral action in the behavioral analysis data matches the start behavior in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the behavioral analysis data is determined to satisfy the first response condition in the response strategy, and the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0119] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0120] If the behavioral action in the behavioral analysis data matches the termination action in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached.

[0121] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0122] If the behavioral action in the behavioral analysis data matches the start behavior or the end behavior in the response strategy, and the user identifier does not meet the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached.

[0123] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0124] In the correspondence between identifier type and message reminder template, determine the type of the user identifier and the corresponding target message reminder template;

[0125] Based on the target message reminder template, a message reminder is sent to the user.

[0126] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, performs the following steps:

[0127] Behavioral analysis data is obtained by analyzing user trigger actions based on behavioral analysis algorithms.

[0128] If the behavioral analysis data meets the first response condition in the response strategy, then the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0129] When the push notification timestamp is reached and no termination behavior of the user identifier is detected, a reminder message is sent to the user according to a preset outreach strategy.

[0130] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0131] The response strategy includes one or more of the following: user identifier type, start behavior, end behavior, reach time, user understanding center selection strategy, and reminder message template.

[0132] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0133] If the behavioral action in the behavioral analysis data matches the start behavior in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the behavioral analysis data is determined to satisfy the first response condition in the response strategy, and the user identifier and push timestamp corresponding to the user are stored in the queue of users to be reached.

[0134] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0135] If the behavioral action in the behavioral analysis data matches the termination action in the response strategy, and the user identifier satisfies the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached.

[0136] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0137] If the behavioral action in the behavioral analysis data matches the start behavior or the end behavior in the response strategy, and the user identifier does not meet the user understanding center selection strategy, then the user identifier is removed from the queue of users to be reached.

[0138] In one embodiment, when the computer program is executed by a processor, it also performs the following steps:

[0139] In the correspondence between identifier type and message reminder template, determine the type of the user identifier and the corresponding target message reminder template;

[0140] Based on the target message reminder template, a message reminder is sent to the user.

[0141] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0142] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, artificial intelligence (AI) processors, etc., and are not limited to these.

[0143] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above 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 application.

[0144] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method of business reach, the method comprising: The method comprises: analyzing a triggering action of a user based on a behavior analysis algorithm to obtain behavior analysis data; if the behavior analysis data meets a first response condition in a response strategy, storing a user identifier corresponding to the user and a to-be-pushed timestamp into a to-be-reached user queue; when the to-be-pushed timestamp is reached and no end behavior of the user identifier is detected, sending a reminder message to the user through a preset reaching strategy.

2. The method of claim 1, wherein, The response strategy comprises one or more of a user identifier type, a start behavior, an end behavior, a reaching time, a user understanding center circle selection strategy, and a reminder message template.

3. The method of claim 2, wherein, If the behavior analysis data meets a first response condition in a response strategy, the user identifier corresponding to the user and the to-be-pushed timestamp are stored into the to-be-reached user queue, comprising: if the behavior action of the behavior analysis data matches the start behavior in the response strategy, and the user identifier meets the user understanding center circle selection strategy, it is determined that the behavior analysis data meets the first response condition in the response strategy, and the user identifier corresponding to the user and the to-be-pushed timestamp are stored into the to-be-reached user queue.

4. The method of claim 2, wherein, The method further comprises: if the behavior action of the behavior analysis data matches the end behavior in the response strategy, and the user identifier meets the user understanding center circle selection strategy, the user identifier is removed from the to-be-reached user queue.

5. The method of claim 2, wherein, The method further comprises: if the behavior action of the behavior analysis data matches the start behavior or the end behavior in the response strategy, and the user identifier does not meet the user understanding center circle selection strategy, the user identifier is removed from the to-be-reached user queue.

6. The method of claim 2, wherein, The method further comprises: in the correspondence between the identifier type and the message reminder template, determining the type of the user identifier, the corresponding target message reminder template; based on the target message reminder template, sending a message reminder to the user.

7. A business engagement device, comprising: The device comprises: an analysis module configured to analyze a triggering action of a user based on a behavior analysis algorithm to obtain behavior analysis data; a matching module configured to, if the behavior analysis data meets a first response condition in a response strategy, store a user identifier corresponding to the user and a to-be-pushed timestamp into a to-be-reached user queue; a sending module configured to, when the to-be-pushed timestamp is reached and no end behavior of the user identifier is detected, send a reminder message to the user through a preset reaching strategy.

8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that, The processor executes the computer program to realize the steps of the method of any one of claims 1 to 6.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method of any one of claims 1 to 6.

10. A computer program product comprising a computer program, characterized in that, The computer program is executed by the processor to realize the steps of the method of any one of claims 1 to 6.

Images