Strategy template adjusting method and device, electronic equipment and computer program product

Abstract

The invention discloses a strategy template adjusting method and device, electronic equipment and a computer program product. Relates to the field of financial science and technology, and comprises the following steps: determining strategy nodes and a connection relationship between the strategy nodes, and generating an initial strategy template according to the strategy nodes and the connection relationship, the strategy nodes at least comprising one of a customer group node, a customer contact node and an active node; generating prompt information according to strategy key information required by strategy generation, and adding the prompt information to the initial strategy template to obtain a target strategy template; and after the target strategy template is used, obtaining use data of the target strategy template, and updating the target strategy template according to the use data. Through the method and the device, the problem that the determined operation strategy template is rigid and is difficult to adapt to the requirements of different markets and target customers in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the field of financial technology, and specifically, to a method, device, electronic device and computer program product for adjusting a policy template. Background Art

[0002] A good operational strategy can help financial institutions better adapt to market changes, improve customer experience, enhance customer satisfaction, attract more customers and maintain existing customers. It can also reduce operating costs and improve operational efficiency through effective operational strategies, achieve risk management, and help financial institutions comply with regulatory requirements.

[0003] When formulating operational strategies, you can create policy templates and further develop specific strategies based on the templates. Templates provide a standardized method that can speed up strategy formulation. However, in the process of formulating policy templates, there are the following difficulties: the templates are too rigid and do not adapt to the needs of rapidly changing markets and specific situations. It is difficult to develop universal templates that can adapt to different markets, products and target customers.

[0004] Currently, no effective solution has been proposed to address the problem that the operation strategy templates determined in relevant technologies are rigid and difficult to adapt to the needs of different markets and target customers. Summary of the invention

[0005] The main purpose of this application is to provide a method, device, electronic device and computer program product for adjusting a policy template to solve the problem that the operation policy template determined in the relevant technology is rigid and difficult to adapt to the needs of different markets and target customers.

[0006] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for adjusting a policy template is provided. The method includes: determining the policy nodes and the connection relationship between the policy nodes, and generating an initial policy template based on the policy nodes and the connection relationship, wherein the policy nodes include at least one of the following: customer group nodes, customer contact nodes, and activity nodes; generating prompt information based on the key policy information required for generating the policy, adding the prompt information to the initial policy template, and obtaining a target policy template; after the target policy template is used, obtaining the usage data of the target policy template, and updating the target policy template based on the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template.

[0007] Optionally, generating prompt information based on key policy information required for generating the policy includes: determining personalized information and customer group configuration information required for generating the policy; generating prompt information based on the personalized information and customer group configuration information, wherein the prompt information is used to prompt the user to add personalized information not set in the template, and prompt the user to configure the customer group.

[0008] Optionally, obtaining usage data of the target policy template and updating the target policy template based on the usage data includes: obtaining a new policy generated after reusing the target policy template; determining a difference statistic between a preset target policy template and at least one new policy within a time period, wherein the difference statistic is at least one of the following: a difference mean value, a difference mode value; and updating the target policy template when the difference statistic is greater than a difference threshold value.

[0009] Optionally, obtaining usage data of the target policy template and updating the target policy template based on the usage data includes: within a preset time period, obtaining the conversion rate of each policy node obtained after each execution of the target policy template, and obtaining the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the target policy template once; determining a node conversion rate statistic based on the conversion rate of each group of policy nodes, and determining the node conversion rate statistic of the target policy template based on the node conversion rate statistic of all nodes; and updating the target policy template when the node conversion rate statistic of the target policy template is less than a node conversion rate threshold.

[0010] Optionally, obtaining usage data of the target policy template and updating the target policy template based on the usage data includes: determining the operation target achievement rate of the target policy template based on the usage data within a preset time period; when the operation target achievement rate is less than the achievement rate threshold, determining the influencing factors affecting the operation target achievement rate, and adjusting the nodes in the target policy template based on the influencing factors to obtain an upgraded policy template.

[0011] Optionally, obtaining usage data of the target policy template and updating the target policy template based on the usage data includes: determining the operational target achievement rate of the upgraded policy template based on the usage data within a preset time period; and performing an offline operation on the target policy template when the operational target achievement rate of the upgraded policy template is less than the achievement rate threshold.

[0012] Optionally, the method also includes: for the executed strategy, calculating the conversion rate of each policy node of the executed strategy within a preset time period to obtain the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the executed strategy once; determining a node conversion rate statistic according to the conversion rate of each group of policy nodes, and determining the node conversion rate statistic of the executed strategy according to the node conversion rate statistic of all nodes; when the node conversion rate statistic of the executed strategy is greater than or equal to the node conversion rate threshold, upgrading the executed strategy to a strategy template.

[0013] In order to achieve the above-mentioned purpose, according to another aspect of the present application, a device for adjusting a policy template is provided. The device includes: a generating unit, which is used to determine the policy nodes and the connection relationship between the policy nodes, and generate an initial policy template according to the policy nodes and the connection relationship; an adding unit, which is used to generate prompt information according to the policy key information required for generating the policy, and add the prompt information to the initial policy template to obtain a target policy template; an updating unit, which is used to obtain the usage data of the target policy template after the target policy template is used, and update the target policy template according to the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template.

[0014] Optionally, the adding unit includes: a first determination module, used to determine the personalized information and customer group configuration information required for generating the strategy; a generation module, used to generate prompt information based on the personalized information and customer group configuration information, wherein the prompt information is used to prompt the user to add personalized information not set in the template, and prompt the user to configure the customer group.

[0015] Optionally, the update unit includes: a first acquisition module, used to obtain a new policy generated after reusing the target policy template; a second determination module, used to determine the difference statistics between the preset target policy template and at least one new policy within a time period, wherein the difference statistics are at least one of the following: a difference mean, a difference mode value; when the difference statistics are greater than a difference threshold, the target policy template is updated.

[0016] Optionally, the update unit includes: a second acquisition module, used to acquire the conversion rate of each policy node obtained after each execution of the target policy template within a preset time period, and obtain the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the target policy template once; a third determination module, used to determine a node conversion rate statistic according to the conversion rate of each group of policy nodes, and determine the node conversion rate statistic of the target policy template according to the node conversion rate statistics of all nodes; an update module, used to update the target policy template when the node conversion rate statistic of the target policy template is less than the node conversion rate threshold.

[0017] Optionally, the update unit includes: a fourth determination module, used to determine the operation target achievement rate of the target policy template based on usage data within a preset time period; a fifth determination module, used to determine the influencing factors affecting the operation target achievement rate when the operation target achievement rate is less than the achievement rate threshold, and adjust the nodes in the target policy template according to the influencing factors to obtain an upgraded policy template.

[0018] Optionally, the update unit includes: a sixth determination module, used to determine the operation target achievement rate of the upgraded policy template based on usage data within a preset time period; and an offline operation module, used to perform an offline operation on the target policy template when the operation target achievement rate of the upgraded policy template is less than the achievement rate threshold.

[0019] Optionally, the device also includes: a calculation unit, used to calculate the conversion rate of each policy node of the executed policy within a preset time period, and obtain the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the executed policy once; a determination unit, used to determine a node conversion rate statistic according to the conversion rate of each group of policy nodes, and determine the node conversion rate statistic of the executed policy according to the node conversion rate statistics of all nodes; an upgrading unit, used to upgrade the executed policy to a policy template when the node conversion rate statistic of the executed policy is greater than or equal to a node conversion rate threshold.

[0020] In an embodiment of the present application, by determining the policy nodes and the connection relationship between the policy nodes, and generating an initial policy template based on the policy nodes and the connection relationship, wherein the policy nodes include at least one of the following: customer group nodes, customer contact nodes, and activity nodes; generating prompt information based on the policy key information required to generate the policy, adding the prompt information to the initial policy template, and obtaining a target policy template; after the target policy template is used, obtaining the usage data of the target policy template, and updating the target policy template based on the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template, the problem that the operational policy template determined in the related art is rigid and difficult to adapt to the needs of different markets and target customers is solved. Prompt information is generated through policy key information to prompt the user to improve the initial policy template, obtain the target policy template, and update the target policy template based on the usage data, thereby achieving the effect that the policy template can adapt to the needs of different markets and target customers. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0022] Figure 1 It is a hardware structure block diagram of a computer terminal (or mobile device) for implementing a method for adjusting a policy template according to an embodiment of the present application;

[0023] Figure 2 is a flow chart of a method for adjusting a policy template according to an embodiment of the present application;

[0024] Figure 3 is a schematic diagram of a device for adjusting a policy template provided in an embodiment of the present application;

[0025] Figure 4 It is a structural block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] It should be noted that the collected information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this application are information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of relevant data are in compliance with relevant laws, regulations and standards, necessary confidentiality measures are taken, and public order and good customs are not violated, and corresponding operation entrances are provided for users to choose to authorize or refuse. For example, an interface is set up between this system and relevant users or institutions to provide users with corresponding operation entrances for users to choose to agree or refuse the results of automated decision-making; if the user chooses to refuse, the expert decision-making process will be entered.

[0029] Example 1

[0030] According to an embodiment of the present application, an embodiment of a method for adjusting a policy template is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0031] The method embodiment provided in the first embodiment of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal (or mobile device) for implementing a method for adjusting a policy template is shown. Figure 1 As shown, the computer terminal 10 (or mobile device) may include one or more ( Figure 1The system includes a processor 102 (the processor 102 may include but is not limited to a processing device such as a microcontroller unit (MCU) or a programmable logic device (Field-Programmable Gate Array, FPGA)), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may also include: a display, an input / output interface (Input / Output, I / O interface), a universal serial bus (Universal Serial Bus, USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.

[0032] It should be noted that the one or more processors 102 and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10 (or mobile device). As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0033] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the adjustment method of the policy template in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the adjustment method of the policy template described above is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0034] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0035] The display may be, for example, a touch screen liquid crystal display (LCD), which may enable a user to interact with a user interface of the computer terminal 10 (or mobile device).

[0036] Under the above operating environment, this application provides Figure 2 How to adjust the policy template shown. Figure 2 It is a flowchart of a method for adjusting a policy template according to an embodiment of the present application.

[0037] Step S201, determine the policy nodes and the connection relationship between the policy nodes, and generate an initial policy template according to the policy nodes and the connection relationship, wherein the policy nodes include at least one of the following: customer group nodes, customer contact nodes, and activity nodes.

[0038] Among them, strategy nodes refer to important components of the operation strategy, including customer group nodes, customer contact nodes and activity nodes. Customer group nodes define the characteristics and scope of the target customer group, customer contact nodes describe the methods and channels for contacting customers, and activity nodes specify the form and specific content of the operation activities (such as tasks, consumer vouchers, etc.). The connection relationship refers to the dependence and connection between strategy nodes to ensure the consistency and rationality of the operation strategy. For example, the customer group node needs to be connected to the customer contact node to determine how to most effectively contact a specific customer group; the customer contact node is connected to the activity node to determine the match between the customer contact method and the activity form.

[0039] The execution subject of this embodiment may be an operation system, which generates an initial policy template by analyzing and defining the above policy nodes and their connection relationships. The initial policy template may be stored in the form of a JSON string, which is convenient for transmission and processing on different systems and platforms.

[0040] Step S202: Generate prompt information according to the key policy information required for generating the policy, add the prompt information to the initial policy template, and obtain the target policy template.

[0041] Among them, key strategy information includes but is not limited to equity information, time arrangements, specific goals, etc., which are the contents that must be filled in in detail when formulating operational strategies. Prompt information In order to guide operators to accurately enter key information when formulating specific strategies, this step adds prompt information to the initial strategy template. The prompt information can be given in the form of red-marked nodes. The red-marked nodes indicate the location of the nodes that need additional information, such as customer group nodes, customer contact nodes, and activity nodes. Specific details of filling in the guidance. On the basis of the initial strategy template, a more complete and specific target strategy template is formed by adding prompt information. The target strategy template not only includes strategy nodes and connection relationships, but also provides guidance for filling in key information to ensure the customization and effectiveness of the strategy.

[0042] Step S203, after the target policy template is used, obtain usage data of the target policy template, and update the target policy template according to the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template.

[0043] Among them, usage data includes but is not limited to adjustment data when users reuse target policy templates and the conversion rate of each policy node obtained after executing the target policy template. Adjustment data reflects the modification of the template by users in actual application, and conversion rate data directly reflects the effect of policy execution. By analyzing usage data, it is possible to identify which policy nodes and connection relationships perform well and which need improvement, so as to dynamically adjust the target policy template, optimize the connection between policy nodes, improve the adaptability and effect of the policy, and ensure that the operation strategy can be effectively adjusted for different markets, products and target customers.

[0044] The adjustment method of the policy template provided in the embodiment of the present application determines the policy nodes and the connection relationship between the policy nodes, and generates an initial policy template based on the policy nodes and the connection relationship, wherein the policy nodes include at least one of the following: customer group node, customer contact node, and activity node; generates prompt information based on the policy key information required for generating the policy, adds the prompt information to the initial policy template, and obtains the target policy template; after the target policy template is used, obtains the usage data of the target policy template, and updates the target policy template based on the usage data, wherein the usage data includes at least one of the following: the adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template, which solves the problem that the operation policy template determined in the related art is rigid and difficult to adapt to the needs of different markets and target customers. Prompt information is generated through policy key information to prompt the user to improve the initial policy template, obtain the target policy template, and update the target policy template based on the usage data, thereby achieving the effect that the policy template can adapt to the needs of different markets and target customers.

[0045] In order to enable users who are unfamiliar with the policy formulation process to quickly get started and formulate operating strategies that meet the requirements, optionally, in the policy template adjustment method provided in the embodiment of the present application, prompt information is generated based on the policy key information required to generate the policy, including: determining the personalized information and customer group configuration information required to generate the policy; generating prompt information based on the personalized information and customer group configuration information, wherein the prompt information is used to prompt the user to add personalized information not set in the template, and prompt the user to configure the customer group.

[0046] It should be noted that in the early stage of generating the target strategy template, the operation system analyzes the financial institution's operating objectives, market environment and customer data, and identifies the personalized information that may be required for each strategy node, such as benefit type, discount strength, execution time, etc.; at the same time, the operation system will also determine the customer configuration information, including customer classification, consumption behavior, geographic location and other key parameters. This information will be used for subsequent template customization and customer screening.

[0047] Furthermore, based on the personalized information and customer group configuration information obtained through analysis, the operation system will generate a series of prompt information. These prompt information will be directly embedded in the target strategy template, and can highlight which parts require users to enter specific personalized information and which nodes require users to configure target customer groups by marking red nodes. For example, for activity nodes, prompt information can require users to explain the activity form and participation conditions in detail; for customer group nodes, prompt information will guide users to set screening criteria for customer groups.

[0048] It should be noted that in the process of users using the target strategy template, the prompt information plays a key guiding role. It not only reminds users to supplement the missing personalized information in the template to ensure that the details of the strategy can meet specific operational needs, but also guides users on how to accurately configure the target customer group based on market and customer analysis, so that operational activities can reach potential customers more accurately.

[0049] Through this implementation, financial institutions can effectively supplement personalized information and accurately configure target customer groups during the process of formulating operational strategies. The setting of prompt information reduces the difficulty of strategy formulation and ensures that the details of the strategy are closely related to actual needs; and the guidance on customer group configuration helps financial institutions to more accurately locate target customers, improve customer outreach effects and customer satisfaction.

[0050] The operation policy template can be dynamically adjusted based on the data of the user reused template. Optionally, in the policy template adjustment method provided in the embodiment of the present application, the usage data of the target policy template is obtained, and the target policy template is updated according to the usage data, including: obtaining the new policy generated after reusing the target policy template; within a time period, determining the difference statistic between the preset target policy template and at least one new policy, wherein the difference statistic is at least one of the following: the difference mean, the difference mode value; when the difference statistic is greater than the difference threshold, updating the target policy template.

[0051] It should be noted that in the daily operations of financial institutions, the operations team will frequently use existing target strategy templates to formulate new operations strategies. The operations system will automatically track and record these new strategies created based on the templates, which include personalized adjustments to the original templates to adapt to different market environments and customer groups.

[0052] Exemplarily, the operation system compares and analyzes the preset target policy template and the generated new policy within a set time period (for example, the last month). The calculation of the difference statistic is based on the degree of adjustment between the template and the new policy, which can be the difference mean or difference mode. The difference mean reflects the average level of policy adjustment, while the difference mode reveals the most common adjustment mode or direction.

[0053] When the calculated difference statistics exceed this threshold, the original template is no longer fully adapted to the current operating environment or the needs of target customers and needs to be optimized. The operating system can automatically start the template update process. The update process can involve adjusting policy nodes, modifying connection relationships, or improving prompt information to better guide the formulation of future strategies.

[0054] Through this embodiment, the operation system can timely capture changes in market and customer needs by comparing and analyzing the differences between the template and the newly added strategy, prompting the system to automatically identify the rigid parts in the strategy template and realize instant adjustment of the template, thereby improving the flexibility and customizability of the strategy, better serving different scenarios and goals, maintaining its synchronization with actual operational activities, improving the accuracy and efficiency of strategy formulation, and enhancing customer experience and engagement.

[0055] In order to dynamically adjust the policy template based on the execution results of actual operational activities and ensure continuous optimization and adaptability of the policy, optionally, in the policy template adjustment method provided in the embodiment of the present application, obtaining the usage data of the target policy template, and updating the target policy template according to the usage data includes: within a preset time period, obtaining the conversion rate of each policy node obtained after each execution of the target policy template, and obtaining the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the target policy template once; determining a node conversion rate statistic according to the conversion rate of each group of policy nodes, and determining the node conversion rate statistic of the target policy template according to the node conversion rate statistics of all nodes; and updating the target policy template when the node conversion rate statistic of the target policy template is less than the node conversion rate threshold.

[0056] Exemplarily, after the operation activity is executed, the operation system can automatically collect and analyze data related to the activity and extract the conversion rate of each key strategy node. For example, for the node that reaches customers, the conversion rate can refer to the proportion of customers who receive operation information and participate in the activity; for the activity participation node, it can be the proportion of customers who participate in the activity and convert to actual purchases. The preset time period (such as 30 days) ensures the timeliness and adequacy of the collected data, and the conversion rate of each group of strategy nodes reflects the execution effect of a specific operation strategy.

[0057] For the conversion rate of each set of strategy nodes, the operation system will calculate a statistical value, such as the mean or median of the node conversion rate, to summarize the overall conversion of the strategy execution. These statistical values ​​provide a quantitative evaluation of the strategy effect, which is helpful for subsequent template optimization. The operation system will conduct a comprehensive analysis of all the collected node conversion rate statistics to obtain an overall node conversion rate statistic, which can be the mean of all node conversion rate means or the median of all node conversion rates. This statistic reflects the overall execution performance of the target strategy template within the preset time period.

[0058] The operation system presets a node conversion rate threshold as a criterion for determining whether the template needs to be updated. If the node conversion rate statistics obtained through comprehensive analysis are lower than this threshold, it means that the overall strategy execution effect is not good, and the operation system can trigger the template update process. The update can include adjusting the strategy nodes, optimizing the connection relationship, or modifying the prompt information in order to improve the strategy conversion efficiency and customer engagement.

[0059] Through this implementation, the operation system automatically collects and analyzes policy execution data, providing a direct basis for the adjustment of policy templates. The calculation of node conversion rate statistics enables the system to accurately identify which policy nodes or template parts perform poorly and optimize them in a targeted manner. By continuously optimizing policy templates and improving the conversion efficiency of policy nodes, customer engagement and activity response rates are directly improved, enhancing customer experience and satisfaction.

[0060] In order to ensure that the operational target achievement rate of the policy template is greater than or equal to the achievement rate threshold, optionally, in the policy template adjustment method provided in the embodiment of the present application, the usage data of the target policy template is obtained, and the target policy template is updated according to the usage data, including: determining the operational target achievement rate of the target policy template according to the usage data within a preset time period; when the operational target achievement rate is less than the achievement rate threshold, determining the influencing factors affecting the operational target achievement rate, and adjusting the nodes in the target policy template according to the influencing factors to obtain an upgraded policy template.

[0061] Specifically, the operation system collects and analyzes all operation activity data based on the target strategy template in a fixed time period (for example, the most recent quarter) and determines the operation target achievement rate. The operation target achievement rate is a key indicator for measuring the effectiveness of strategy execution. It evaluates the effectiveness of the strategy by comparing the ratio of the actual operation goals achieved to the expected goals. For example, if the goal is to increase customer activity, then the operation target achievement rate is the ratio of the actual increase in activity to the expected increase in the target.

[0062] The operation system presets a threshold for the achievement rate. When the calculated achievement rate of the operation target is lower than this threshold, the operation system can automatically trigger the influencing factor analysis process. Influencing factors may include but are not limited to market changes, customer feedback, specific details of strategy execution, etc., and through analysis, identify which factors are the key reasons for the low achievement rate of the operation target. Based on the determined influencing factors, the operation system will propose specific adjustment strategies, which may be to modify the parameter settings of the strategy nodes, optimize the connection relationship between nodes, or improve the prompt information to better guide users to configure the strategy. For example, if the analysis finds that customers have poor feedback on the form of the activity, the operation system can suggest adjusting the activity nodes and trying more popular forms of activities; if it is found that improper time scheduling affects the effectiveness of the strategy, the configuration of the time node can be adjusted.

[0063] Through this implementation, the calculation of the operation target achievement rate provides an objective basis for decision-making and ensures the effectiveness of strategy adjustment. By determining the key factors affecting the operation target achievement rate, the operation system can accurately identify the problems in the strategy and provide a clear direction for subsequent optimization. In other words, regular evaluation of the operation target achievement rate and adjustment of the strategy template based on influencing factors form a mechanism for continuous strategy optimization, ensuring that the strategy can be continuously adjusted as the market and customer needs change to maintain its competitiveness.

[0064] In order to ensure the validity and timeliness of the template, optionally, in the policy template adjustment method provided in the embodiment of the present application, the usage data of the target policy template is obtained, and the target policy template is updated according to the usage data, including: within a preset time period, determining the operational target achievement rate of the upgraded policy template according to the usage data; when the operational target achievement rate of the upgraded policy template is less than the achievement rate threshold, performing an offline operation on the target policy template.

[0065] Specifically, the operation system can automatically collect all operational activity data executed using the upgraded policy template within a preset time period (such as the most recent quarter). By analyzing this data, the operation system calculates the ratio of the upgraded template in promoting the achievement of operational goals, that is, the operational goal achievement rate. The operational goal achievement rate directly reflects the effect of the template in actual application and is an important basis for determining whether the template needs to be taken offline.

[0066] The operation system presets a threshold of achievement rate as a standard for judging whether the template effectively implements the operation target. If the achievement rate of the upgraded template for a period of time continues to be lower than this threshold, the operation system can automatically trigger the template offline process. The offline operation means stopping the use of the template as a reference for strategy formulation to prevent it from continuing to affect the formulation and implementation of new operation strategies.

[0067] This embodiment objectively evaluates the performance of upgraded policy templates in actual operations through data analysis, ensures the effectiveness and timeliness of the templates, and promptly eliminates poorly performing templates by setting thresholds and automatic offline mechanisms, thereby helping financial institutions avoid the continued use of invalid or outdated policies, effectively improving the pertinence and execution of operational strategies, and thereby optimizing operating costs, enhancing market competitiveness, and improving customer satisfaction and business growth.

[0068] A strategy with significant execution effect can be upgraded to a strategy template. Optionally, in the strategy template adjustment method provided in the embodiment of the present application, the method also includes: for the executed strategy, calculating the conversion rate of each strategy node of the executed strategy within a preset time period to obtain the conversion rate of at least one group of strategy nodes, wherein the conversion rate of each group of strategy nodes is obtained after executing the executed strategy once; determining a node conversion rate statistic according to the conversion rate of each group of strategy nodes, and determining the node conversion rate statistic of the executed strategy according to the node conversion rate statistic of all nodes; when the node conversion rate statistic of the executed strategy is greater than or equal to the node conversion rate threshold, upgrading the executed strategy to a strategy template.

[0069] Specifically, the operation system will automatically collect and process data on all executed strategies within a preset time period (for example, the last month), and extract the conversion rate of each key strategy node. The conversion rate refers to the proportion of behavioral changes from potential customers to effective customers at each strategy node. It directly reflects the actual execution effect of the strategy node and the degree of participation in the operation activities.

[0070] For each strategy execution, the operation system generates a set of conversion rate data, which includes the conversion rates of all strategy nodes in the operation activity, providing a comprehensive overview of the strategy execution effect. For each set of conversion rate data, the operation system calculates a statistical value, such as the mean or median node conversion rate, to summarize the average or typical conversion efficiency of the strategy execution on all nodes. The operation system combines all the collected node conversion rate statistics to calculate a total node conversion rate statistic, which is used to evaluate the overall conversion efficiency of the executed strategy.

[0071] The operation system presets a node conversion rate threshold as a standard for whether the strategy is successful and can be promoted as a template. If the calculated node conversion rate statistics exceed this threshold, it indicates that the strategy has a significant execution effect and can be used as a successful case. The operation system will automatically upgrade this strategy to a strategy template for reference and reuse in future operation activities.

[0072] This embodiment systematically evaluates the conversion efficiency of executed strategies, identifies strategies that perform well and can effectively promote the achievement of operational goals, and refines them into templates to provide guidance and reference for subsequent operational activities, thereby improving the efficiency and quality of strategy formulation.

[0073] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0074] Example 2

[0075] The embodiment of the present application also provides a device for adjusting a policy template. It should be noted that the device for adjusting a policy template in the embodiment of the present application can be used to execute the method for adjusting a policy template provided in the embodiment of the present application. The device for adjusting a policy template provided in the embodiment of the present application is introduced below.

[0076] According to an embodiment of the present application, a device for implementing the above-mentioned policy template adjustment method is also provided. Figure 3 is a schematic diagram of a device for adjusting a policy template according to an embodiment of the present application, such as Figure 3 As shown, the device includes: a generating unit 301, an adding unit 302 and an updating unit 303.

[0077] A generating unit 301 is used to determine the policy nodes and the connection relationship between the policy nodes, and generate an initial policy template according to the policy nodes and the connection relationship;

[0078] An adding unit 302 is used to generate prompt information according to the key policy information required for generating the policy, and add the prompt information to the initial policy template to obtain a target policy template;

[0079] The updating unit 303 is used to obtain the usage data of the target policy template after the target policy template is used, and to update the target policy template according to the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template.

[0080] The adjustment device of the policy template provided in the embodiment of the present application determines the policy nodes and the connection relationship between the policy nodes through the generation unit 301, and generates the initial policy template according to the policy nodes and the connection relationship; the adding unit 302 generates prompt information according to the policy key information required for generating the policy, and adds the prompt information to the initial policy template to obtain the target policy template; the updating unit 303 obtains the usage data of the target policy template after the target policy template is used, and updates the target policy template according to the usage data, wherein the usage data includes at least one of the following: the adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template, which solves the problem that the operation policy template determined in the related art is rigid and difficult to adapt to the needs of different markets and target customers. Prompt information is generated through the policy key information to prompt the user to improve the initial policy template, obtain the target policy template, and update the target policy template according to the usage data, thereby achieving the effect that the policy template can adapt to the needs of different markets and target customers.

[0081] Optionally, the adding unit 302 includes: a first determination module, used to determine the personalized information and customer group configuration information required for generating the strategy; a generation module, used to generate prompt information based on the personalized information and customer group configuration information, wherein the prompt information is used to prompt the user to add personalized information not set in the template, and prompt the user to configure the customer group.

[0082] Optionally, the update unit 303 includes: a first acquisition module, used to obtain a new policy generated after reusing the target policy template; a second determination module, used to determine the difference statistics between the preset target policy template and at least one new policy within a time period, wherein the difference statistics are at least one of the following: a difference mean, a difference mode value; when the difference statistics are greater than a difference threshold, the target policy template is updated.

[0083] Optionally, the update unit 303 includes: a second acquisition module, used to acquire the conversion rate of each policy node obtained after each execution of the target policy template within a preset time period, and obtain the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the target policy template once; a third determination module, used to determine a node conversion rate statistic according to the conversion rate of each group of policy nodes, and determine the node conversion rate statistic of the target policy template according to the node conversion rate statistics of all nodes; an update module, used to update the target policy template when the node conversion rate statistic of the target policy template is less than the node conversion rate threshold.

[0084] Optionally, the update unit 303 includes: a fourth determination module, used to determine the operation target achievement rate of the target policy template based on the usage data within a preset time period; a fifth determination module, used to determine the influencing factors affecting the operation target achievement rate when the operation target achievement rate is less than the achievement rate threshold, and adjust the nodes in the target policy template according to the influencing factors to obtain an upgraded policy template.

[0085] Optionally, the update unit 303 includes: a sixth determination module, used to determine the operation target achievement rate of the upgraded policy template based on usage data within a preset time period; and an offline operation module, used to perform an offline operation on the target policy template when the operation target achievement rate of the upgraded policy template is less than the achievement rate threshold.

[0086] Optionally, the device also includes: a calculation unit, used to calculate the conversion rate of each policy node of the executed policy within a preset time period, and obtain the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the executed policy once; a determination unit, used to determine a node conversion rate statistic according to the conversion rate of each group of policy nodes, and determine the node conversion rate statistic of the executed policy according to the node conversion rate statistics of all nodes; an upgrading unit, used to upgrade the executed policy to a policy template when the node conversion rate statistic of the executed policy is greater than or equal to a node conversion rate threshold.

[0087] It should be noted that the above-mentioned units and modules correspond to the steps in Example 1, and are the same as the examples and application scenarios implemented by the corresponding steps, but are not limited to the contents disclosed in the above-mentioned Example 1. It should be noted that the above-mentioned modules or units may be hardware components or software components stored in a memory (e.g., memory 104) and processed by one or more processors (e.g., processors 102a, 102b, ..., 102n), and the above-mentioned modules may also be part of the device and may be run in the computer terminal 10 provided in Example 1.

[0088] Example 3

[0089] An embodiment of the present application may provide an electronic device, Figure 4 is a structural block diagram of an electronic device according to an embodiment of the present application. Figure 4 As shown, the electronic device may include: one or more ( Figure 4 (only one is shown) processor 1002, memory 1004, storage controller, and peripheral interface, wherein the peripheral interface is connected to the radio frequency module, audio module and display.

[0090] Among them, the memory can be used to store software programs and modules, such as program instructions / modules corresponding to the methods and devices in the embodiments of the present application, and the processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, realizing the above-mentioned method. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0091] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: determine the policy nodes and the connection relationships between the policy nodes, and generate an initial policy template based on the policy nodes and the connection relationships, wherein the policy nodes include at least one of the following: customer group nodes, customer contact nodes, and activity nodes; generate prompt information based on the key policy information required to generate the policy, add the prompt information to the initial policy template, and obtain the target policy template; after the target policy template is used, obtain the usage data of the target policy template, and update the target policy template based on the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template.

[0092] The processor can also call the information and application programs stored in the memory through the transmission device to perform the following steps: generating prompt information based on the key policy information required to generate the strategy, including: determining the personalized information and customer group configuration information required to generate the strategy; generating prompt information based on the personalized information and customer group configuration information, wherein the prompt information is used to prompt the user to add personalized information not set in the template, and prompt the user to configure the customer group.

[0093] The processor can also call the information and application stored in the memory through the transmission device to perform the following steps: obtain the usage data of the target policy template, and update the target policy template according to the usage data, including: obtain the new policy generated after reusing the target policy template; within a time period, determine the difference statistic between the preset target policy template and at least one new policy, wherein the difference statistic is at least one of the following: the difference mean, the difference mode value; when the difference statistic is greater than the difference threshold, update the target policy template.

[0094] The processor can also call the information and application programs stored in the memory through the transmission device to perform the following steps: obtaining the usage data of the target policy template, and updating the target policy template according to the usage data, including: obtaining the conversion rate of each policy node obtained after each execution of the target policy template within a preset time period, and obtaining the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the target policy template once; determining a node conversion rate statistic according to the conversion rate of each group of policy nodes, and determining the node conversion rate statistic of the target policy template according to the node conversion rate statistics of all nodes; and updating the target policy template when the node conversion rate statistic of the target policy template is less than the node conversion rate threshold.

[0095] The processor can also call the information and applications stored in the memory through the transmission device to perform the following steps: obtain the usage data of the target policy template, and update the target policy template according to the usage data, including: determining the operation target achievement rate of the target policy template according to the usage data within a preset time period; when the operation target achievement rate is less than the achievement rate threshold, determine the influencing factors affecting the operation target achievement rate, and adjust the nodes in the target policy template according to the influencing factors to obtain an upgraded policy template.

[0096] The processor can also call the information and applications stored in the memory through the transmission device to perform the following steps: obtain the usage data of the target policy template, and update the target policy template based on the usage data, including: within a preset time period, determine the operation target achievement rate of the upgraded policy template based on the usage data; when the operation target achievement rate of the upgraded policy template is less than the achievement rate threshold, perform an offline operation on the target policy template.

[0097] The processor can also call the information and application programs stored in the memory through the transmission device to perform the following steps: for the executed strategy, calculate the conversion rate of each policy node of the executed strategy within a preset time period to obtain the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the executed strategy once; determine a node conversion rate statistic based on the conversion rate of each group of policy nodes, and determine the node conversion rate statistic of the executed strategy based on the node conversion rate statistics of all nodes; when the node conversion rate statistic of the executed strategy is greater than or equal to the node conversion rate threshold, upgrade the executed strategy to a strategy template.

[0098] Using the embodiment of the present application, a policy module adjustment scheme is provided. By determining the policy nodes and the connection relationship between the policy nodes, and generating an initial policy template based on the policy nodes and the connection relationship, wherein the policy nodes include at least one of the following: customer group nodes, customer contact nodes, and activity nodes; generating prompt information based on the policy key information required to generate the policy, adding the prompt information to the initial policy template to obtain the target policy template; after the target policy template is used, obtaining the usage data of the target policy template, and updating the target policy template based on the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template, the problem that the operation policy template determined in the related art is rigid and difficult to adapt to the needs of different markets and target customers is solved. Prompt information is generated through policy key information to prompt the user to improve the initial policy template, obtain the target policy template, and update the target policy template based on the usage data, thereby achieving the effect that the policy template can adapt to the needs of different markets and target customers.

[0099] It can be understood by those skilled in the art that Figure 4 The structure shown is for illustration only, and the electronic device may also be a smart phone, a tablet computer, a PDA, a mobile Internet device (MID), a PAD or other terminal device. Figure 4 The structure of the electronic device is not limited. Figure 4 More or fewer components (such as network interfaces, display devices, etc.) shown in, or having Figure 4 Different configurations are shown.

[0100] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0101] Example 4

[0102] The embodiment of the present application also provides a storage medium. Optionally, in this embodiment, the above storage medium can be used to save the program code executed by the following method provided in the above embodiment 1: by determining the connection relationship between the policy nodes and the policy nodes, and generating an initial policy template according to the policy nodes and the connection relationship, wherein the policy nodes include at least one of the following: customer group nodes, customer contact nodes, and activity nodes; generating prompt information according to the key policy information required for generating the policy, adding the prompt information to the initial policy template, and obtaining the target policy template; after the target policy template is used, obtaining the usage data of the target policy template, and updating the target policy template according to the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template.

[0103] Optionally, in this embodiment, the above storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0104] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing the following method steps: by determining policy nodes and the connection relationship between policy nodes, and generating an initial policy template based on the policy nodes and the connection relationship, wherein the policy node includes at least one of the following: customer group node, customer contact node, activity node; generating prompt information based on the policy key information required to generate the policy, adding the prompt information to the initial policy template, and obtaining a target policy template; after the target policy template is used, obtaining usage data of the target policy template, and updating the target policy template based on the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and the conversion rate of each policy node obtained after executing the target policy template.

[0105] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0106] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0108] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0109] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0110] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly or all or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk, etc., which can store program code.

[0111] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for adjusting a policy template, characterized in that: include: Determine the policy nodes and the connection relationship between the policy nodes, and generate an initial policy template according to the policy nodes and the connection relationship, wherein the policy nodes include at least one of the following: customer group nodes, customer contact nodes, and activity nodes; Generate prompt information according to the key policy information required for generating the policy, and add the prompt information to the initial policy template to obtain the target policy template; After the target policy template is used, usage data of the target policy template is obtained, and the target policy template is updated according to the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and conversion rate of each policy node obtained after executing the target policy template.

2. The method according to claim 1, characterized in that The prompt information generated based on the key information of the strategy required to generate the strategy includes: Determine the personalization information and customer segment configuration information needed to generate strategies; The prompt information is generated according to the personalized information and the customer group configuration information, wherein the prompt information is used to prompt the user to add personalized information that is not set in the template and to prompt the user to configure the customer group.

3. The method according to claim 1, characterized in that Acquiring usage data of the target policy template and updating the target policy template according to the usage data includes: Obtain a new policy generated by reusing the target policy template; Determine a difference statistic between the preset target policy template and at least one of the newly added policies within a time period, wherein the difference statistic is at least one of the following: a difference mean value and a difference mode value; When the difference statistic is greater than the difference threshold, the target policy template is updated.

4. The method according to claim 1, characterized in that: Acquiring usage data of the target policy template and updating the target policy template according to the usage data includes: Within a preset time period, obtaining the conversion rate of each policy node obtained after each execution of the target policy template, and obtaining the conversion rate of at least one group of policy nodes, wherein the conversion rate of each group of policy nodes is obtained after executing the target policy template once; Determine a node conversion rate statistic value according to the conversion rate of each group of policy nodes, and determine the node conversion rate statistic value of the target policy template according to the node conversion rate statistic values ​​of all nodes; When the node conversion rate statistic of the target policy template is less than the node conversion rate threshold, the target policy template is updated.

5. The method according to claim 1, characterized in that Acquiring usage data of the target policy template and updating the target policy template according to the usage data includes: Determining the operation target achievement rate of the target strategy template according to the usage data within a preset time period; When the operation target achievement rate is less than the achievement rate threshold, influencing factors affecting the operation target achievement rate are determined, and nodes in the target policy template are adjusted according to the influencing factors to obtain an upgraded policy template.

6. The method according to claim 5, characterized in that Acquiring usage data of the target policy template and updating the target policy template according to the usage data includes: Determine, within a preset time period, the operational target achievement rate of the upgraded policy template according to the usage data; When the operational target achievement rate of the upgraded policy template is less than the achievement rate threshold, an offline operation is performed on the target policy template.

7. The method according to claim 1, characterized in that The method further comprises: For an executed strategy, calculating the conversion rate of each strategy node of the executed strategy within a preset time period to obtain the conversion rate of at least one group of strategy nodes, wherein the conversion rate of each group of strategy nodes is obtained after executing the executed strategy once; Determine a node conversion rate statistic value according to the conversion rate of each group of strategy nodes, and determine the node conversion rate statistic value of the executed strategy according to the node conversion rate statistic values ​​of all nodes; When the node conversion rate statistic of the executed policy is greater than or equal to the node conversion rate threshold, the executed policy is upgraded to a policy template.

8. A device for adjusting a policy template, characterized in that: include: A generating unit, configured to determine a policy node and a connection relationship between the policy nodes, and to generate an initial policy template according to the policy node and the connection relationship; An adding unit, configured to generate prompt information according to key policy information required for generating a policy, and add the prompt information to the initial policy template to obtain a target policy template; An updating unit is used to obtain usage data of the target policy template after the target policy template is used, and to update the target policy template according to the usage data, wherein the usage data includes at least one of the following: adjustment data of the target policy template when the user reuses the target policy template, and conversion rate of each policy node obtained after executing the target policy template.

9. An electronic device, characterized in that: include: A memory storing an executable program; A processor, configured to run the program, wherein the program executes the method according to any one of claims 1 to 7 when running.

10. A computer program product comprising computer instructions, characterized in that: When the computer instructions are executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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