Information processing and user information processing method, device and equipment, and storage medium

Abstract

Embodiments of the present application provide an information processing method and device, a user information processing method and device, an apparatus, and a storage medium. In the embodiments of the present application, specific behavior information of a user group within a period of time is taken as a basis for user level division, and user level change information before and after a user enters a store is tracked to generate user flow lines between different user levels. Guidance information of a merchant store to a user across levels is generated in combination with the user flow lines between different user levels, and rich information such as multiple user levels, user flow lines between different user levels, and guidance information of the corresponding merchant store to the user is provided to a merchant terminal, so that the merchant can manage users according to the richer information. Thus, the merchant can obtain richer information for diversified user management, and can well meet the user management needs of the merchant.

Description

Technical Field

[0001] This application relates to the field of Internet technology, and in particular to an information processing and user information processing method, apparatus, device and storage medium. Background Technology

[0002] In e-commerce, merchants accumulate a base of loyal customers over time and employ various marketing strategies to attract new ones. To increase user engagement, many merchants categorize their users, such as potential customers, new customers, and returning customers, and develop different operational strategies for each category to cultivate loyalty. However, this current method of categorizing users lacks sufficient information and fails to adequately meet the user management needs of merchants. Summary of the Invention

[0003] This application provides an information processing and user information processing method, apparatus, device, and storage medium, which enables businesses to obtain richer information for diversified user management and can well meet the user management needs of businesses.

[0004] This application provides an information processing method, comprising: determining, according to a merchant's request, multiple users entering the merchant's store during the current time period, wherein the merchant's store has multiple user levels, and different user levels require users to have different specific behavioral information within a specified time period; generating user flow paths between different user levels based on the multiple users' store entry behavior and the specific behavioral information of the multiple users within the merchant's store during the specified time period, wherein the user flow paths include user movement information between different user levels; and generating guidance information for users from the merchant's store corresponding to different user levels associated with the user flow paths based on the user flow paths.

[0005] The system sends guidance information for users from different user levels to the merchant's terminal for user management.

[0006] This application also provides an information processing method, comprising: sending a merchant's request to a server device, wherein the merchant's request corresponds to specific behavioral information of a user in the merchant's store; receiving guidance information from the server device for users corresponding to different user levels, wherein the different user levels are different user levels among multiple user levels possessed by the merchant's store; and performing user management based on the guidance information from the merchant's store for users corresponding to different user levels, combined with the multiple user levels possessed by the merchant's store; wherein the guidance information from the merchant's store for users corresponding to different user levels is generated based on the user flow patterns between different user levels, and the flow patterns between different user levels are generated based on the store entry behavior of multiple users entering the merchant's store during the current time period and the specific behavioral information of multiple users within the merchant's store during a specified time period.

[0007] This application also provides a user information processing method, comprising: identifying multiple users entering a merchant's store during the current time period, wherein the merchant's store has multiple loyalty levels, and different loyalty levels require users to have different transaction behavior information within a specified time period; generating user flow paths between different loyalty levels based on the multiple users' store entry behavior and the multiple users' transaction behavior information within the merchant's store during the specified time period, wherein the user flow paths include user movement information between different loyalty levels; generating guidance information for users from the merchant's store corresponding to different loyalty levels associated with the user flow paths; and generating a loyalty level relationship diagram corresponding to the merchant's store based on the multiple loyalty levels, the user flow paths between different loyalty levels, and the corresponding merchant's guidance information for users.

[0008] This application also provides an information processing device, comprising: an acquisition module, configured to acquire multiple users who enter a merchant's store during the current time period according to a merchant's request, wherein the merchant's store has multiple user levels, and different user levels require users to have different specific behavioral information within a specified time period; a first generation module, configured to generate user flow lines between different user levels based on the multiple users' store entry behavior and the specific behavioral information of the multiple users within the merchant's store during the specified time period, wherein the user flow lines include user movement information between different user levels; a second generation module, configured to generate merchant guidance information for users corresponding to different user levels associated with the user flow lines; and a sending module, configured to send the merchant guidance information for users corresponding to different user levels to a merchant terminal for the merchant to manage users.

[0009] This application also provides an information processing apparatus, comprising: a sending module for sending a merchant's request to a server device, wherein the merchant's request corresponds to specific behavioral information of a user in the merchant's store; a receiving module for receiving guidance information from the server device for different user levels corresponding to the merchant's store, wherein the different user levels are different user levels among multiple user levels possessed by the merchant's store; and a management module for managing users based on the guidance information from the merchant's store corresponding to different user levels, in conjunction with the multiple user levels possessed by the merchant's store; wherein the guidance information from the merchant's store corresponding to different user levels is generated based on the user flow patterns between different user levels, and the flow patterns between different user levels are generated based on the store entry behavior of multiple users entering the merchant's store during the current time period and the specific behavioral information of multiple users within the merchant's store during a specified time period.

[0010] This application also provides a server device, including: a memory and a processor; the memory is used to store a computer program; the processor, coupled to the memory, is used to execute the computer program for performing steps in an information processing method or a user information processing method.

[0011] This application also provides a terminal device, including: a memory and a processor; the memory is used to store a computer program; the processor, coupled to the memory, is used to execute the computer program for performing steps in an information processing method.

[0012] This application also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, enables the processor to implement the steps of an information processing method or a user information processing method.

[0013] In this embodiment, specific behavioral information of user groups over a period of time is used as the basis for user tier division, and changes in user tier before and after a user enters the store are tracked to generate user flow patterns between different user tiers. These user flow patterns are combined to generate cross-tiered merchant guidance information for users, and rich information such as multiple user tiers, user flow patterns between different user tiers, and corresponding merchant guidance information is provided to the merchant terminal for user management. This allows merchants to obtain richer information for diversified user management, effectively meeting their user management needs. Attached Figure Description

[0014] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments of this application and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0015] Figure 1 This is a schematic diagram of the structure of an information processing system provided in an embodiment of this application;

[0016] Figure 2 An exemplary user hierarchy diagram provided for embodiments of this application;

[0017] Figure 3 A flowchart illustrating an information processing method provided in an embodiment of this application;

[0018] Figure 4 A flowchart illustrating another information processing method provided in this application embodiment;

[0019] Figure 5 A flowchart illustrating a user information processing method provided in this application embodiment;

[0020] Figure 6 This is a schematic diagram of the structure of an information processing device provided in an embodiment of this application;

[0021] Figure 7 This is a schematic diagram of another information processing device provided in an embodiment of this application;

[0022] Figure 8 This is a schematic diagram of the structure of a server device provided in an embodiment of this application;

[0023] Figure 9 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0025] Current methods of user classification management lack sufficient information richness and cannot adequately meet the user management needs of merchants. Therefore, this application provides an information processing and user information processing method, apparatus, device, and storage medium. In this application, specific behavioral information of user groups over a period of time is used as the basis for user tier division, and user tier changes before and after a user enters the store are tracked to generate user flow patterns between different user tiers. These user flow patterns are combined to generate cross-tier merchant store guidance information for users, and rich information such as multiple user tiers, user flow patterns between different user tiers, and corresponding merchant store guidance information is provided to the merchant terminal for more comprehensive user management. This allows merchants to obtain richer information for diversified user management, effectively meeting their user management needs.

[0026] First, let me explain some of the terms used in this application:

[0027] Private domain: refers to the exclusive transaction space of a merchant, which can also be understood as a space centered on the merchant. It carries user resources that belong exclusively to the merchant and can be reached, such as the merchant's online store, offline store, official website, membership system, etc.

[0028] Public domain: refers to information space that can be shared by different businesses, such as e-commerce platforms, advertising media platforms, forums or other public networks, or various offline public billboards.

[0029] Other domains: These are information spaces between private and public domains, such as other merchants' stores on e-commerce platforms, platform self-media accounts, partner stores, partner self-media accounts, partner private domains, etc.

[0030] Private domain traffic refers to traffic (visitors) driven from public domains and other domains to one's own private domain (official website, store), as well as traffic generated by the operation of the private domain itself. Private domain traffic is user data that can be used for marketing activities such as secondary linking, outreach, and sales. Like domain names, trademarks, and goodwill, private domain traffic is a digital asset owned and managed by a company.

[0031] Public domain traffic refers to user traffic located in the public domain (internet) or other domains (platforms, media channels, partners, etc.).

[0032] The technical solutions provided by the various embodiments of this application are described in detail below with reference to the accompanying drawings.

[0033] Figure 1 This is a schematic diagram of the structure of an information processing system provided in an embodiment of this application. Figure 1As shown, the system may include: a user terminal, a server-side device, and a merchant terminal. The user terminal or merchant terminal can interact with the server-side device via a wired network or a wireless network. For example, the wired network may include coaxial cable, twisted pair, and fiber optic cable, while the wireless network may be a 2G network, 3G network, 4G network, 5G network, or Wireless Fidelity (WIFI) network. This application does not limit the specific type or form of interaction, as long as it can realize the function of interaction between the user terminal or merchant terminal and the server-side device. Optionally, the user terminal or merchant terminal may include, but is not limited to, mobile phones, tablets, laptops, wearable devices, and in-vehicle devices. The server-side device may include, but is not limited to, a single server, a distributed server cluster composed of multiple servers, cloud servers, and server arrays. It should be understood that... Figure 1 The number of user terminals, merchant terminals, and server devices shown is merely illustrative. In actual applications, there is no limit to the number of user terminals, merchant terminals, and server devices.

[0034] In practical applications, user terminals collect user behavior data when accessing shopping apps. This user behavior data includes, but is not limited to, entering a store, clicking, adding to cart, purchasing, and favorites. Entering a store refers to a user's action of entering a merchant's store. For example, a user clicking on the image or text information of any merchant's store on a recommended page confirms that the user has entered the store. Another example is displaying a "enter store" control within the image or text information of each store on a recommended page; clicking this control confirms that the user has entered the store. Yet another example is a user clicking on the image or text information of any merchant's store on a product subscription page. Clicking can refer to clicking on the image or text information of a store displaying a product, or clicking on a product details page; there are no restrictions on this. Adding to cart refers to a user adding desired items to their shopping cart; users have a strong intention to purchase items added to their cart. Typically, an "Add to Cart" control is provided on the product details page; clicking this control initiates the action of adding items to the cart. Purchase behavior refers to the act of a user initiating a purchase of a product. Typically, a "Buy Now" control is provided on the product details page; clicking this control initiates the purchase. Adding a product to favorites refers to the act of a user adding a product to their favorites list. This is also typically done through a "Favorites" control on the product details page. It should be noted that... Figure 1The illustration uses the example of users 1-K seeing the same page before and after entering store 1, but it is not limited to this. In practical applications, personalized recommendations can be made for different users based on their behavioral information, profile data, etc., so that the page content seen by different users before entering store 1 will be different, and correspondingly, the page content seen by different users after entering store 1 can also be different, thus achieving the purpose of personalized recommendations.

[0035] like Figure 1 As shown in ①, user behavior data collected by the user terminal is provided to the server device. The server device performs data mining on the user behavior data. The data mining results include, but are not limited to: products that users are interested in, at which stage users are more likely to drop out, user group profiles, user conversion paths, loyalty information, and user value information.

[0036] Furthermore, such as Figure 1 As shown in ② to ⑤, the server-side device combines merchant requests provided by the merchant terminal and user behavior data collected by the user terminal to analyze multiple users (or user groups) entering the merchant's store, the user level to which each user belongs, the user flow between different user levels, and the guidance information provided to users by the merchant stores corresponding to different user levels. See also Figure 1 In step ⑥, the server-side device sends the merchant's store guidance information to the merchant's terminal. See [link to relevant documentation]. Figure 1 In section ⑦, merchants manage users based on the guidance information provided to users through their store. Optionally, the merchant's store can be a physical offline store or a virtual online store.

[0037] In this embodiment, the merchant store guidance information generated based on user traffic flow is cross-level. That is, the user traffic flow can simultaneously reflect user changes at different user levels and provide guidance information from merchants to users at each user level. Furthermore, the merchant store guidance information refers to information helpful for merchants in user management. This can include operational or service-related strategies. Operational strategies involve providing discounts or other incentives to increase user loyalty during transactions, and can also increase transaction volume. Service-related strategies provide relevant services to users entering the store, such as VIP services or free shipping.

[0038] Specifically, the server-side device first identifies multiple users (or user groups) who enter the merchant's store during the current time period based on the merchant's request. The merchant's store has multiple user tiers, and different user tiers require users to exhibit different specific behavioral information within a specified time period. It's important to note that different merchant stores can have different user tiers. For example, for merchant store A, users are divided into four loyalty tiers based on transaction activity: high potential, first-time purchase, repeat purchase, and most loyal. For example, for merchant store B, users are divided into three user value tiers based on click volume: extremely important users, important users, and ordinary users. Of course, different merchant stores can also have the same user tiers; for example, both merchant stores A and B can divide users into four loyalty tiers: high potential, first-time purchase, repeat purchase, and most loyal.

[0039] In this embodiment, a merchant's request refers to a merchant's request to manage user traffic in the store, such as a request for user operations. The requests initiated by different merchants can be different or the same. These requests are related to specific user behavior information within the store, and this specific behavior information will vary depending on the merchant's request. For example, if a merchant has user management requests with goals of cultivating user loyalty and conversion rates, the specific behavior information could refer to successful purchases. If a merchant has user management requests with goals of cultivating user value, the specific behavior information could be clicks, browsing, adding to cart, saving, or purchasing. If a merchant has user management requests with goals of cultivating user satisfaction, the specific behavior information could be clicks, browsing, adding to cart, saving, purchasing, reviews, or complaints.

[0040] In this embodiment, the user tier reflects the user's level relative to the merchant's store. Different user tiers require users to exhibit different specific behavioral information within a specified time period. The specified time period can be flexibly set according to application needs, and may include, but is not limited to, the past hour, past day, past month, past year, etc. Specific behavioral information can be flexibly defined according to the merchant's user management needs, and may include, but is not limited to, store entry behavior, click behavior, browsing behavior, payment behavior, add-to-cart behavior, purchase behavior, and favorites behavior. Optionally, user tiers may include, but are not limited to, loyalty tiers, user value tiers, and user satisfaction tiers.

[0041] The higher the loyalty level, the greater the user's loyalty to the merchant's store. Loyalty represents the degree to which a user frequently makes repeat purchases due to a preference for the merchant's products. Optionally, to unify loyalty cultivation and product conversion goals, loyalty levels can be divided based on the user's transaction history within the merchant's store. Loyalty levels, from highest to lowest, include: High Potential, First Purchase, Repeat Purchase, and Favorite. The High Potential loyalty level indicates that users at this level have the potential to purchase products from the merchant's store within a specified period. For example, if a user is a private traffic user of the merchant's store but has not made a single order in the past year, this user can be identified as a High Potential user. The First Purchase loyalty level indicates that users at this level have made their first purchase from the merchant's store within a specified period. For example, a user made an order on one day within the past year. The Repeat Purchase loyalty level indicates that users at this level have purchased products from the merchant's store twice within a specified period. For example, a user made orders on two days within the past year. The "Most Loyal" loyalty tier indicates that users at this tier have made multiple purchases from the merchant's store within a specified period. For example, a user might have placed orders on more than two days within the past year. It's worth noting that loyalty tiers can be flexibly defined based on user transaction activity within a specified period (e.g., the past year) according to application needs.

[0042] The higher the user's value level, the greater their spending power at a merchant's store. User value represents a user's level of purchasing power for a merchant's products. User value levels, from highest to lowest, include: important value users, important development users, and general value users. Important value users spend more money at a merchant's store than important development users; important development users spend more money at a merchant's store than general value users.

[0043] The higher the user satisfaction level, the greater the user's satisfaction with the merchant's store. The user satisfaction levels, from highest to lowest, include: high satisfaction, medium satisfaction, and low satisfaction.

[0044] In this embodiment, after the server device determines that multiple users have entered the merchant's store during the current time period, it generates user traffic flow patterns between different user levels based on the multiple users' store entry behavior and the specific behavior information of the multiple users in the merchant's store during the specified time period.

[0045] In this embodiment, the user flow patterns between different user tiers can reflect the flow information of users between different user tiers. This flow information includes, but is not limited to, the scale of traffic reflecting changes in user tiers (i.e., the number of users whose tiers have changed), the time of the tier change, and user profile data. Optionally, the flow information between different user tiers generally does not include detailed personal information of the user to ensure user privacy. See also Figure 2 Traffic entering the store at each level comes from both public domain traffic and in-store self-circulation traffic within the corresponding level. In-store self-circulation traffic can be understood as user traffic accessing the merchant's store through private domains, including but not limited to: the merchant's store members and e-commerce users who have previously visited the merchant's store. Transaction traffic at each level comes from users entering the store at that level, and from users upgrading or downgrading from other levels. Transaction traffic can be understood as user traffic that successfully purchases goods offered by the merchant's store. For example, the transaction traffic for the "Favorite" level comes from users entering the store at the "Favorite" level and users upgrading through repeat purchases. The transaction traffic for repeat purchases comes from users entering the store through repeat purchases and users upgrading from their first purchase. Within the traffic entering the store at each level, some users upgrade and some downgrade. For example, some users in the high-potential traffic who make a purchase may upgrade from high-potential to first-time purchasers; some users in the first-time purchase traffic who make a purchase may upgrade from first-time purchasers to repeat purchasers. Some users in the first-time purchase traffic who haven't made a purchase for a long time may downgrade from first-time purchasers to high-potential. Of the repeat purchase visitors, some actually made a purchase; these visitors may upgrade from repeat buyers to regular customers. Conversely, some repeat purchase visitors haven't made a purchase in a long time; these visitors may downgrade from repeat buyers to first-time buyers.

[0046] In this embodiment, the user hierarchy is determined based on specific behavioral information of a user within a merchant's store during a specified time period. The user hierarchy changes continuously over time. See also... Figure 2 When a user first enters a merchant's store on a given day, their user level might be high-potential. If the user purchases items from the store that day, their user level changes from high-potential to first-time purchase at the end of the day. Similarly, if a user first enters a merchant's store on a given day, their user level changes from first-time purchase to repeat purchase at the end of the day. Finally, if a user first enters a merchant's store on a given day, their user level might be repeat purchase; if a user purchases items from the store that day, their user level changes from repeat purchase to favorite user at the end of the day.

[0047] Optionally, to further unify user segmentation and product conversion goals, the specified time period can be the most recent historical period. Specifically, the specified time period is the most recent N units of time, where N is a positive integer. The granularity of each unit of time can be flexibly defined, such as 1 day, 1 hour, 1 week, 1 month, 1 quarter, etc. Based on this, the server-side device generates user traffic flow patterns between different user levels based on the in-store behavior of multiple users and their specific behavioral information within the merchant's store during the specified time period. One implementation process is as follows: For multiple users who have entered the store, the initial user level for each user is determined by combining their specific behavioral information within the merchant's store during the most recent N units of time at the time of entry; the target user level for each user is determined by the specific behavioral information within the merchant's store during the most recent N units of time from the end of the current time period; and user traffic flow patterns between different user levels are generated based on the initial and target user levels for each user.

[0048] In this embodiment, for ease of understanding and distinction, the user level determined by the user's specific behavior information in the merchant's store within the most recent N unit time periods when entering the store is called the initial user level; the user level determined based on the user's specific behavior information in the merchant's store within the most recent N unit time periods from the end of the current time period is called the target user level.

[0049] For example, for each user, when they enter a merchant's store, their initial user level is determined based on specific behavioral information within the store over the past year (e.g., successful purchases). As time progresses, the user may continue to purchase items and successfully pay for them, or they may simply browse items, add them to their cart, but not actually buy them. Thus, at the end of the day, the user's level may or may not change. In other words, the target user level may be the same as or different from the initial user level.

[0050] In some embodiments, the current time period is the most recent M units of time, where M is a positive integer and M is less than N. For example, the current time period could be the most recent 1 day or 2 days, and the specified time period could be the most recent 1 year or 1 month. Another example is that the current time period could be the most recent 1 month or 2 months, and the specified time period could be the most recent 1 year. Yet another example is that the current time period could be the most recent 1 hour or 2 hours, and the specified time period could be the most recent 1 day or 2 days. It should be noted that the time granularity of the most recent time period varies, and the hierarchical span between the initial user level and the target user level involved in the user traffic flow will differ. It may involve adjacent user levels, or it may span two or more user levels. For example, if the current time period is the current day (i.e., the most recent 1 day), then the initial user level and the target user level involved in the user traffic flow are two adjacent user levels, such as... Figure 2 As shown, it could be a case of repeat purchases turning into favorites. If the current time period is the last two days or a week, the user traffic flow may involve one or more intermediate user levels between the initial user level and the target user level. For example, there may be a situation where the user goes directly from the first purchase to the favorite.

[0051] Based on this, one implementation process for the server-side device to determine the target user level of each user within the merchant's store based on the specific behavioral information of multiple users within the most recent N units of time from the end of the current time period is as follows: Based on the specific behavioral information of multiple users within the merchant's store before entering the store and after entering the store until the end of the most recent M units of time, generate specific behavioral information of multiple users within the merchant's store within the most recent N units of time; and determine the target user level of each user based on the specific behavioral information of multiple users within the merchant's store within the most recent N units of time.

[0052] It's important to note that since the duration of the most recent N units of time is longer than the duration of the most recent M units of time, obtaining specific behavioral information about a user within the merchant's store within the most recent N units of time requires not only obtaining the specific behavioral information from the time the user entered the store until the end of the most recent M units of time, but also obtaining the specific behavioral information from several units of time before the user entered the store, and so on, until the specific behavioral information for the most recent N units of time is obtained. For example, if M is 2 days and N is 5 days, then it is necessary to obtain the specific behavioral information of the user within the merchant's store for the three days before entering the store, and also for the two days after entering the store, for a total of 5 days of specific behavioral information.

[0053] In this embodiment, the server-side device can generate user traffic flow patterns between different user levels based on the initial user level and target user level of each user. Specifically, a user's initial user level in a merchant's store upon entering the store may be the same as or different from the user's target user level at the end of the current time period, resulting in user traffic flowing between different user levels. User traffic flow patterns can be generated based on this flow information. For example, a high-potential user upgrades to a first-time purchaser, while a first-time purchaser downgrades to a high-potential user; a first-time purchaser upgrades to a repeat purchaser, while a repeat purchaser downgrades to a first purchaser; a repeat purchaser upgrades to a favorite user, while a favorite user downgrades to a repeat purchaser. Various user traffic flow patterns can be generated based on this information about changes in user traffic between different user levels. User traffic flow patterns mainly refer to information about changes in users between different user levels, such as the number of users and the flow time. See also... Figure 2 For example, high-potential upgrade traffic is traffic converted from high-potential users to first-time purchase users. First-time purchase downgrade traffic is traffic converted from first-time purchase users to high-potential users; first-time purchase upgrade traffic is traffic converted from first-time purchase users to repeat purchase users; repeat purchase downgrade traffic is traffic converted from repeat purchase users to first-time purchase users; repeat purchase upgrade traffic is traffic converted from repeat purchase users to favorite users; and favorite downgrade traffic is traffic converted from favorite users to repeat purchase users.

[0054] In one optional implementation, the process by which the server device generates user flow paths between different user levels based on the initial user level and target user level of each user is as follows: users corresponding to the same initial user level and target user level are grouped into the same user group based on the initial user level and target user level of each user; and user flow paths between the initial user level and target user level associated with that user group are generated based on the number of users in each user group.

[0055] Specifically, cluster analysis is performed based on each user's initial user level and target user level, grouping users with the same initial and target user levels into the same user group. The number of users in each user group is counted, thus obtaining the user traffic transitioning from the initial user level to the target user level. Based on the number of users in each user group, the traffic flow information for this transition can be determined, thereby generating the user traffic path between the initial and target user levels. See also... Figure 2For example, the user traffic flow corresponding to the first-purchase downgrade traffic shows that the number of users who converted from the first-purchase level to the high-potential level is 51,300; the user traffic flow corresponding to the first-purchase upgrade traffic shows that the number of users who converted from the first-purchase level to the repeat purchase level is 51,300.

[0056] In this embodiment, after determining the user traffic flow between different user tiers, guidance information for users from merchants corresponding to different user tiers can be generated based on the user traffic flow. This guidance information from merchants can also be referred to as operational guidance information.

[0057] In practical applications, there are user traffic flows that reflect both user tier downgrades and upgrades. Targeted user management is implemented for different types of user traffic flows. Therefore, when the server-side device generates guidance information for users from merchants corresponding to different user tiers based on the user traffic flows between different user tiers, for any given user traffic flow, the type of the user traffic flow is determined based on the hierarchical relationship between the initial and target user tiers associated with it. Based on the type of user traffic flow, information about the merchants corresponding to the initial and target user tiers associated with the user traffic flow is generated.

[0058] In one optional embodiment, the types of user traffic flow between different user levels can be divided into traffic upgrade type and traffic downgrade type.

[0059] Optionally, for each type of traffic upgrade, guidance and transition strategy information corresponding to the initial user level associated with the user's traffic flow and user retention strategy information corresponding to the target user level associated with the user's traffic flow can be generated. Guidance and transition strategy information refers to strategies that guide users from a lower user level (i.e., the initial user level) to a higher user level. Examples include, but are not limited to: operational strategies that promote user consumption upgrades through coupons, discounts, and spending reductions; and service strategies that incentivize user consumption upgrades, such as providing free shipping, points programs, or VIP services. User retention strategy information refers to strategies that attract users to remain at the current user level (i.e., the target user level) and prevent churn. Examples include, but are not limited to: operational strategies such as offering higher price discounts to users at the current user level than to lower user levels; and / or, service strategies such as precisely categorizing purchased goods based on user consumption characteristics and sending greeting text messages or making phone calls to users in the same category.

[0060] Optionally, for each type of traffic degradation, user recall strategy information corresponding to the initial user level associated with the user's traffic flow and anti-churn strategy information corresponding to the target user level associated with the user's traffic flow are generated. User recall strategy information refers to strategies that can attract churned users from lower user levels back to higher user levels (i.e., the initial user level), such as including but not limited to: promoting user consumption upgrades through coupons, discount coupons, and spending reductions to achieve user recall. Anti-churn strategy information refers to strategies that can attract users to stay at the current user level (i.e., the target user level) and prevent them from churning or flowing to lower user levels, such as including but not limited to: providing users at the current user level with price discounts higher than those at lower user levels; and / or, based on user consumption characteristics, precisely classifying consumed goods and sending greeting text messages or making phone calls to users in the same category, such as service-type strategies. It should be noted that different user levels can use the same type of operational strategy information, but the strength of discounts and other incentives in the strategy information will differ; the higher the level, the greater the strength of these discounts and other incentives. Correspondingly, different user levels can use the same service type of policy information, but the service levels such as free shipping and greetings in the policy information will be different. The higher the level, the higher these service levels will be.

[0061] Further, optionally, to better manage users, user profile data can be combined to generate merchant / store guidance information that matches user traffic flow. Based on this, one possible implementation for generating merchant / store guidance information corresponding to the initial and target user levels associated with the user traffic flow is as follows: If the user traffic flow is an upgrade type, then, based on the user profile data corresponding to the user traffic flow, guidance transition strategy information for the initial user level and user retention strategy information for the target user level are generated; if the user traffic flow is a downgrade type, then, based on the user profile data corresponding to the user traffic flow, user recall strategy information for the initial user level and anti-churn strategy information for the target user level are generated.

[0062] It is worth noting that, in addition to generating merchant guidance information that matches user traffic flow by combining user profile data, it is also possible to combine user preferences, user consumption habits, information on products that users are interested in, and user reviews of merchants or products to comprehensively generate merchant guidance information that matches user traffic flow, thereby promoting the improvement of refined user management.

[0063] It is worth noting that this embodiment does not limit the source of users entering the store. Based on the source of users entering the store, users entering the merchant's store in this embodiment include the following two types: one is users entering the merchant's store from the public domain or other domains, and these users are referred to as public domain traffic; the other is users who are guided back to the merchant's store by the merchant through operational methods, and these users are referred to as in-store self-circulation traffic. Accordingly, the user traffic flow between different user levels may include public domain traffic, in-store self-circulation traffic, or both. Regardless of the type of user traffic flowing between different levels, this embodiment will generate guidance information for users from the merchant's store corresponding to the different user levels involved in the user traffic flow, based on the user traffic flow between different user levels.

[0064] In this embodiment, the server device sends the guidance information for users corresponding to different user levels to the merchant terminal for the merchant to manage users.

[0065] In practical applications, the server-side device can simply send the guidance information from different user levels to the merchant terminal. Optionally, to enable more refined user management by the merchant terminal, the server-side device, when sending the guidance information from different user levels to the merchant terminal for user management, specifically sends the following related information to the merchant terminal: multiple user levels, user traffic flow between different user levels, and the guidance information from different user levels to the merchant terminal, for the merchant to manage users.

[0066] In practical applications, the server-side device can send text-based association information to the merchant terminal. Optionally, to enable merchants to intuitively view multiple user levels, user traffic flow between different user levels, and the corresponding guidance information from the merchant's store to users, the server-side device can visualize the association information and send the visualized association information to the merchant terminal.

[0067] Based on this, in one optional implementation, multiple user levels, user traffic flow between different user levels, and guidance information from merchants corresponding to different user levels are sent as associated information to the merchant terminal for user management. This includes: generating a target user level relationship diagram based on multiple user levels, user traffic flow between different user levels, and guidance information from merchants corresponding to different user levels; and sending the target user level relationship diagram to the merchant terminal for display to the merchant for user management.

[0068] In one optional embodiment, the target user hierarchy graph may include marker information corresponding to multiple user levels, indicator icons for representing user flow paths between different user levels, and guidance information for users from merchants associated with the indicator icons.

[0069] As an example, the method for generating a target user hierarchy relationship diagram based on multiple user levels, user traffic flow between different user levels, and guidance information from merchants to users corresponding to different user levels can be as follows: First, generate an initial user hierarchy relationship diagram based on multiple user levels, including marker information corresponding to each user level. Second, add indicator information representing user traffic flow between different user levels to the initial user hierarchy relationship diagram. Third, associate the indicator information with the guidance information from merchants to users corresponding to their respective merchant levels to obtain the target user hierarchy relationship diagram.

[0070] In practical applications, the tagging information corresponding to user levels can be in the form of icons, text, or a combination of text and images; there are no restrictions on this. For example, in Figure 2 In the text, each user level is labeled with text, such as high potential, first purchase, repeat purchase, and favorite.

[0071] In practical applications, the information indicating user flow can be icons, lines, or text; there are no restrictions on this. For example, in Figure 2 The text indicates "first purchase upgrade traffic" and "first purchase downgrade traffic," while lines and arrows indicate the direction of user traffic flow.

[0072] In practical applications, besides associating user traffic flow information with corresponding merchant guidance information, it's also possible to associate it with user numbers and traffic types. For example, in... Figure 2 In the system, the indication information corresponding to first-purchase downgrade traffic and first-purchase upgrade traffic includes traffic type, traffic scale, and operational strategy. The various information associated with the indication information of user traffic flow can be expressed explicitly, i.e., displayed to the merchant synchronously with the indication information of user traffic flow, or it can be expressed implicitly, i.e., displayed only when the indication information of user traffic flow is triggered. Triggering methods bound to the indication information of user traffic flow can be pre-created, and these triggering methods can be, for example, but not limited to, clicks, touches, long presses, double-tapes, and swipes.

[0073] Optionally, the target user hierarchy diagram can be further tagged with information indicating how multiple users (or user groups) enter the store. These entry methods include accessing the merchant's store through public channels and / or through the merchant's self-operated channels. For example, in... Figure 2 In the data, a portion of the in-store traffic at each user level originates from public domain traffic, indicating that this traffic enters the merchant's store through public channels. Conversely, a portion of the in-store traffic at each user level originates from in-store self-circulation traffic, indicating that this traffic enters the merchant's store through the merchant's self-operated channels.

[0074] Further optional, see Figure 2 In addition to multiple user levels, user traffic flow between different user levels, and corresponding merchant / store guidance information for users, the target user hierarchy graph can also display information on public domain traffic, in-store traffic, in-store self-circulation traffic, and lost traffic, as well as merchant / store guidance information for users targeting these traffic flows. See also Figure 2 Taking the first-time purchase tier as an example, the target user hierarchy diagram provides a clear overview of traffic information for first-time purchase downgrades, such as a traffic volume of 51,300 users and corresponding operational strategies. The diagram also provides information on traffic for first-time purchase upgrades, such as a traffic volume of 51,300 users, a transaction amount of ¥535,692.00, and corresponding operational strategies. Furthermore, the diagram provides information on traffic entering the store from public domains, such as a traffic volume of 952,300 users and corresponding operational strategies. It also provides information on in-store self-circulation traffic, such as a traffic volume of 223,500 users and corresponding operational strategies. Finally, the diagram provides information on traffic lost during the first-time purchase phase, such as a traffic volume of 22,500 users and corresponding operational strategies.

[0075] In this embodiment, the merchant's request corresponds to specific behavioral information of the user in the merchant's store. In addition to sending the merchant's request to the server device, the merchant terminal also receives guidance information from the server device for different user levels corresponding to the merchant's store. These different user levels are among the multiple user levels that the merchant's store possesses. User management is performed based on the guidance information from the merchant's store corresponding to different user levels, combined with the multiple user levels of the merchant's store. The guidance information from the merchant's store corresponding to different user levels is generated based on the user flow patterns between different user levels. These flow patterns are generated based on the entry behavior of multiple users entering the merchant's store during the current time period and the specific behavioral information of multiple users within the merchant's store during a specified time period. The generation process of the flow patterns and the guidance information from the merchant's store can be found in the aforementioned embodiment and will not be repeated here.

[0076] In practical applications, in addition to providing the merchant terminal with guidance information from different user tiers, the server-side device can also provide the merchant terminal with multiple user tiers and the user traffic flow between different user tiers. Based on this, when managing users according to the guidance information from different user tiers and the multiple user tiers within the merchant terminal, the merchant terminal can manage users across multiple user tiers based on the associated information, the user traffic flow between different user tiers, and the guidance information from different user tiers provided by the merchant stores.

[0077] Optionally, when managing users based on the guidance information provided by merchant stores to users corresponding to different user levels, and in conjunction with the multiple user levels of the merchant store, the merchant terminal specifically performs the following: Displaying a target user level relationship diagram, which includes at least multiple user level-related marker information and indicator information representing user flow paths between different user levels, with the indicator information associated with the corresponding merchant store's guidance information; and responding to a trigger operation on the indicator information, displaying the merchant store's guidance information associated with the indicator information; and managing users across multiple user levels based on the user flow paths between different user levels and the corresponding merchant store's guidance information.

[0078] See Figure 2After the merchant terminal displays the target user hierarchy graph, triggering the "First-Time Purchase Downgrade Traffic" icon displays the traffic scale of first-time purchase downgrade traffic and its corresponding operational strategies. Triggering the "First-Time Purchase Upgrade Traffic" icon displays the traffic scale, transaction amount, and corresponding operational strategies for first-time purchase upgrade traffic. Triggering the line segment between public domain traffic and first-time purchase in-store traffic displays the traffic scale of public domain traffic and its corresponding operational strategies. Triggering the in-store self-circulation traffic icon displays the traffic scale of in-store self-circulation traffic and its corresponding operational strategies. Triggering the first-time purchase traffic loss icon displays the traffic scale of first-time purchase traffic and its corresponding operational strategies.

[0079] The technical solution provided in this application uses specific behavioral information of user groups over a period of time as the basis for user tier division, and tracks changes in user tier before and after a user enters the store to generate user flow patterns between different user tiers. Combining these user flow patterns, cross-tier merchant store guidance information is generated, and rich information, including multiple user tiers, user flow patterns between different user tiers, and corresponding merchant store guidance information, is provided to the merchant terminal for user management. This allows merchants to obtain richer information for diversified user management, effectively meeting their user management needs.

[0080] Figure 3 A flowchart illustrating an information processing method provided in an embodiment of this application. See also... Figure 3 The method may include the following steps:

[0081] 301. Based on the merchant's request, identify multiple users who enter the merchant's store during the current time period. The merchant's store has multiple user levels, and different user levels require users to have different specific behavioral information within a specified time period.

[0082] 302. Based on the store entry behavior of multiple users and the specific behavior information of multiple users in the merchant's store during a specified period, generate user traffic flow lines between different user levels. The user traffic flow lines include the flow information of users between different user levels.

[0083] 303. Based on the user traffic flow between different user levels, generate guidance information for users from merchants and stores corresponding to different user levels associated with the user traffic flow;

[0084] 304. Send the guidance information of the merchant stores corresponding to different user levels to the merchant terminal for the merchant to manage users.

[0085] Optionally, the specified time period is the most recent N units of time, where N is a positive integer. Accordingly, based on the store entry behavior of multiple users and their specific behavioral information within the merchant's store during the specified time period, user flow patterns between different user levels are generated. This includes: for multiple users who have entered the store, determining their respective initial user level by combining their specific behavioral information within the merchant's store during the most recent N units of time; determining their respective target user level based on their specific behavioral information within the merchant's store during the most recent N units of time remaining until the end of the current time period; and generating user flow patterns between different user levels based on their respective initial and target user levels.

[0086] Further optionally, the current time period is the most recent M units of time, where M is a positive integer and M is less than N;

[0087] Accordingly, based on the specific behavioral information of multiple users within the merchant's store in the most recent N units of time from the end of the current time period, the target user level corresponding to each of the multiple users is determined, including: generating specific behavioral information of multiple users within the merchant's store in the most recent N units of time based on the specific behavioral information of multiple users within the merchant's store before entering the store and after entering the store until the end of the most recent M units of time; and determining the target user level corresponding to each of the multiple users based on the specific behavioral information of multiple users within the merchant's store in the most recent N units of time.

[0088] Further optionally, based on the initial user level and target user level corresponding to each of the multiple users, user flow paths between different user levels are generated, including: dividing users corresponding to the same initial user level and target user level into the same user group according to the initial user level and target user level corresponding to each of the multiple users; and generating user flow paths between the initial user level and target user level associated with the user group based on the number of users in each user group.

[0089] Optionally, based on the user traffic flow between different user levels, guide information for users from merchants corresponding to different user levels associated with the user traffic flow can be generated. This includes: for any user traffic flow, determining the type of user traffic flow based on the hierarchical relationship between the initial user level and the target user level associated with the user traffic flow; and generating guide information for users from merchants corresponding to the initial user level and the target user level associated with the user traffic flow based on the type of user traffic flow.

[0090] Further optional, the types include traffic upgrade type and traffic downgrade type. Based on the type of user traffic flow, guide information for users is generated for the initial user level and the target user level corresponding to the merchant store. This includes: if the user traffic flow type is traffic upgrade type, then based on the user profile data corresponding to the user traffic flow, guide transition strategy information for the initial user level and user retention strategy information for the target user level are generated; if the user traffic flow type is traffic downgrade type, then based on the user profile data corresponding to the user traffic flow, user recall strategy information for the initial user level and anti-churn strategy information for the target user level are generated.

[0091] Optionally, the guidance information of merchants and stores corresponding to different user levels can be sent to the merchant terminal for the merchant to manage users. This includes sending multiple user levels, user traffic flow between different user levels, and guidance information of merchants and stores corresponding to different user levels as related information to the merchant terminal for the merchant to manage users.

[0092] Optionally, multiple user tiers, user traffic flow between different user tiers, and guidance information from merchants corresponding to different user tiers are sent as associated information to the merchant terminal for user management. This includes: generating a target user tier relationship diagram based on multiple user tiers, user traffic flow between different user tiers, and guidance information from merchants corresponding to different user tiers; and sending the target user tier relationship diagram to the merchant terminal for display to the merchant for user management.

[0093] Optionally, a target user hierarchy relationship diagram is generated based on multiple user levels, user traffic flow between different user levels, and guidance information from merchants / stores corresponding to different user levels. This includes: generating an initial user hierarchy relationship diagram based on multiple user levels, the initial user hierarchy relationship diagram including marker information corresponding to multiple user levels; adding indicator information representing user traffic flow between different user levels to the initial user hierarchy relationship diagram; and at least associating the indicator information with the guidance information from merchants / stores corresponding to them to obtain the target user hierarchy relationship diagram.

[0094] Further optionally, the above method also includes: adding marker information to the target user hierarchy graph to indicate the ways in which multiple users enter the store, including entering the merchant's store through public channels and / or entering the merchant's store through the merchant's self-operated channels.

[0095] For details of the steps in the embodiments of this method, please refer to the detailed description of the system embodiments, which will not be elaborated here.

[0096] The technical solution provided in this application uses specific behavioral information of user groups over a period of time as the basis for user tier division, and tracks changes in user tier before and after a user enters the store to generate user flow patterns between different user tiers. Combining these user flow patterns, cross-tier merchant store guidance information is generated, and rich information, including multiple user tiers, user flow patterns between different user tiers, and corresponding merchant store guidance information, is provided to the merchant terminal for user management. This allows merchants to obtain richer information for diversified user management, effectively meeting their user management needs.

[0097] Figure 4 A flowchart illustrating another information processing method provided in an embodiment of this application. See also... Figure 4 The method may include the following steps:

[0098] 401. Send a merchant's request to the server device. The merchant's request corresponds to specific behavioral information of the user in the merchant's store.

[0099] 402. Receive guidance information from the merchant store corresponding to different user levels sent by the server device. Different user levels are different user levels among the multiple user levels that the merchant store has.

[0100] 403. Based on the guidance information provided to users by merchants and stores corresponding to different user levels, user management is carried out in combination with the multiple user levels of the merchant and store.

[0101] Among them, the guidance information for users in the merchant stores corresponding to different user levels is generated based on the user traffic flow between different user levels. The traffic flow between different user levels is generated based on the store entry behavior of multiple users entering the merchant store in the current time period and the specific behavior information of multiple users in the merchant store in a specified time period.

[0102] For a detailed explanation of the process of generating user traffic flow patterns between different levels and the process of generating guidance information for users from merchants and stores, please refer to the aforementioned embodiments, which will not be repeated here.

[0103] Optionally, user management can be performed based on the guidance information provided to users by merchants and stores corresponding to different user levels, combined with the multiple user levels of the merchants and stores. This includes: displaying a target user level relationship diagram, which includes at least multiple user level-related marker information and indicator information representing user traffic flow between different user levels, with the indicator information associated with the corresponding merchant and store guidance information; and, in response to a trigger operation on the indicator information, displaying the merchant and store guidance information associated with the indicator information; and performing user management across multiple user levels based on the user traffic flow between different user levels and the corresponding merchant and store guidance information.

[0104] For details of the steps in the embodiments of this method, please refer to the detailed description of the system embodiments, which will not be elaborated here.

[0105] The technical solution provided in this application uses specific behavioral information of user groups over a period of time as the basis for user tier division, and tracks changes in user tier before and after a user enters the store to generate user flow patterns between different user tiers. Combining these user flow patterns, cross-tier merchant store guidance information is generated, and rich information, including multiple user tiers, user flow patterns between different user tiers, and corresponding merchant store guidance information, is provided to the merchant terminal for user management. This allows merchants to obtain richer information for diversified user management, effectively meeting their user management needs.

[0106] Figure 5 A flowchart illustrating a user information processing method provided in an embodiment of this application. See also... Figure 5 The method may include the following steps:

[0107] 501. Identify multiple users who enter a merchant's store during the current time period. The merchant's store has multiple loyalty levels, and different loyalty levels require users to have different transaction behavior information within a specified time period.

[0108] 502. Based on the store entry behavior of multiple users and the transaction behavior information of multiple users in the merchant's store during a specified period, generate user traffic flow lines between different loyalty levels. The user traffic flow lines include the flow information of users between different loyalty levels.

[0109] 503. Based on the user traffic flow between different loyalty levels, generate guidance information for users from merchants and stores corresponding to different loyalty levels associated with the user traffic flow;

[0110] 504. Based on multiple loyalty levels, user traffic flow between different loyalty levels, and the corresponding merchant store's guidance information to users, generate a loyalty level relationship diagram for the merchant store.

[0111] In this embodiment, the user tiers of a merchant's store are specifically loyalty tiers; correspondingly, the specific behavioral information corresponding to each user tier is transaction behavior information. In practical applications, merchants have a need to cultivate user loyalty. This application embodiment can provide merchants with a loyalty tier relationship diagram, so that merchants can view the user traffic flow at different loyalty tiers while cultivating user loyalty. Figure 2 For example, merchants can categorize their store users into four loyalty levels based on transaction activity: High Potential, First Purchase, Repeat Purchase, and Favorite. Defining loyalty based on transaction activity allows for a unified approach to loyalty cultivation and conversion goals. For instance, users who have placed an order (i.e., a successfully paid order) on one day in the past year are defined as First Purchasers; those who have placed orders on two days in the past year are defined as Repeat Purchasers; those who have placed orders on more than two days in the past year are defined as Favorites; and those who have not placed an order on any day in the past year are defined as High Potential.

[0112] Figure 2 The system clearly labels various data at each level, including user traffic flow, in-store traffic, sales traffic, and operational strategies, for merchants to view intuitively. By analyzing the traffic flow data from user entry to successful purchase, merchants can be guided to cultivate user loyalty and develop operational strategies at different levels based on changes in the traffic flow data.

[0113] For detailed implementation methods of each step in this embodiment, please refer to the foregoing embodiments, which will not be repeated here.

[0114] The technical solution provided in this application uses the transaction behavior information of a user group over a period of time as the basis for dividing loyalty levels, and tracks the changes in user levels before and after a user enters the store to generate user traffic flow between different user levels. It combines the user traffic flow between different loyalty levels to generate cross-level merchant store guidance information for users, and provides rich information such as multiple loyalty levels, user traffic flow between different loyalty levels, and corresponding merchant store guidance information to the merchant terminal, allowing merchants to manage users based on this richer information. Therefore, merchants can obtain richer information for diversified user management, making it easier for them to intuitively understand customer loyalty, store entry, and conversion data, effectively meeting their user management needs. Furthermore, it helps merchants design operational strategies for different loyalty levels by utilizing changes in traffic flow data, intuitively integrating user group cultivation with the desired conversion results. This allows them to see both the status of loyalty cultivation and in-store sales figures, resulting in a more intuitive overall operational effect.

[0115] It should be noted that the execution subject of each step of the method provided in the above embodiments can be the same device, or the method can be executed by different devices. For example, the execution subject of steps 401 to 403 can be device A; or the execution subject of steps 401 and 402 can be device A, and the execution subject of step 403 can be device B; and so on.

[0116] Furthermore, in some of the processes described in the above embodiments and accompanying drawings, multiple operations appear in a specific order. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or they may be executed in parallel. The operation numbers, such as 401, 402, etc., are merely used to distinguish different operations and do not represent any execution order. Additionally, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first" and "second" in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to different types.

[0117] Figure 6 This is a schematic diagram of the structure of an information processing device provided in an embodiment of this application. See also... Figure 6 The device may include:

[0118] The acquisition module 61 is used to determine, based on the merchant's request, multiple users who enter the merchant's store during the current time period. The merchant's store has multiple user levels, and different user levels require users to have different specific behavioral information within a specified time period.

[0119] The first generation module 62 is used to generate user flow lines between different user levels based on the store entry behavior of multiple users and the specific behavior information of multiple users in the merchant's store during a specified period. The user flow lines include the flow information of users between different user levels.

[0120] The second generation module 63 is used to generate guidance information for users from merchants and stores corresponding to different user levels based on the user traffic flow paths between different user levels.

[0121] The sending module 64 is used to send the guidance information of the merchant store corresponding to different user levels to the merchant terminal for the merchant to manage users.

[0122] Optionally, the specified time period is the most recent N units of time, where N is a positive integer. Accordingly, when the first generation module 62 generates user flow lines between different user levels, it is specifically used to: determine the initial user level of each user based on the specific behavior information of the multiple users in the merchant's store within the most recent N units of time when they entered the store; determine the target user level of each user based on the specific behavior information of the multiple users in the merchant's store within the most recent N units of time since the end of the current time period; and generate user flow lines between different user levels based on the initial user level and the target user level of each user.

[0123] Further optionally, the current time period is the most recent M units of time, where M is a positive integer and M is less than N;

[0124] Accordingly, when the first generation module 62 determines the target user level corresponding to each of the multiple users, it is specifically used to: generate specific behavior information of the multiple users in the merchant's store in the most recent N units of time based on the specific behavior information of the multiple users in the merchant's store before entering the store and after entering the store until the end of the most recent M units of time; and determine the target user level corresponding to each of the multiple users based on the specific behavior information of the multiple users in the merchant's store in the most recent N units of time.

[0125] Optionally, when the first generation module 62 generates user flow paths between different user levels based on the initial user level and target user level corresponding to each of the multiple users, it is specifically used to: divide users corresponding to the same initial user level and target user level into the same user group based on the initial user level and target user level corresponding to each of the multiple users; and generate user flow paths between the initial user level and target user level associated with each user group based on the number of users in each user group.

[0126] Optionally, when the second generation module 63 generates guidance information for users from merchants corresponding to different user levels based on user traffic flow paths between different user levels, it is specifically used for: determining the type of user traffic flow path based on the hierarchical relationship between the initial user level and the target user level associated with the user traffic flow path for any given user traffic flow path; and generating guidance information for users from merchants corresponding to the initial user level and the target user level associated with the user traffic flow path based on the type of user traffic flow path. Optionally, when the second generation module 63 generates guidance information for users from merchants corresponding to the initial user level and the target user level associated with the user traffic flow path, it is specifically used for: if the type of user traffic flow path is a traffic upgrade type, then combining the user profile data corresponding to the user traffic flow path, generating guidance transition strategy information for the initial user level and user retention strategy information for the target user level; if the type of user traffic flow path is a traffic downgrade type, then combining the user profile data corresponding to the user traffic flow path, generating user recall strategy information for the initial user level and anti-churn strategy information for the target user level.

[0127] Optionally, the sending module 64 sends the guidance information of the merchant stores corresponding to different user levels to the merchant terminal for the merchant to manage users. Specifically, it sends the user traffic flow between multiple user levels and the guidance information of the merchant stores corresponding to different user levels as related information to the merchant terminal for the merchant to manage users.

[0128] Optionally, the sending module 64 sends multiple user levels, user traffic flow between different user levels, and guidance information from merchants to users corresponding to different user levels as associated information to the merchant terminal for user management. Specifically, it is used to: generate a target user level relationship diagram based on multiple user levels, user traffic flow between different user levels, and guidance information from merchants to users corresponding to different user levels; and send the target user level relationship diagram to the merchant terminal for display to the merchant for user management.

[0129] Optionally, when generating the target user hierarchy relationship diagram based on multiple user levels, user traffic flow between different user levels, and guidance information from merchants to users corresponding to different user levels, the sending module 64 is used to: generate an initial user hierarchy relationship diagram based on multiple user levels, the initial user hierarchy relationship diagram including marker information corresponding to multiple user levels; add indicator information representing user traffic flow to the initial user hierarchy relationship diagram based on user traffic flow between different user levels; and associate the indicator information with the guidance information from merchants to users corresponding to their respective merchants to obtain the target user hierarchy relationship diagram. Optionally, the sending module 64 is also used to: add marker information representing the entry methods of multiple users to the target user hierarchy relationship diagram, the entry methods of multiple users including entering the merchant's store through public domain channels and / or entering the merchant's store through the merchant's self-operated channels.

[0130] Figure 6 The information processing apparatus shown can execute the information processing method of the above method embodiments, and its implementation principle and technical effects will not be repeated here. The specific ways in which each module and unit of the information processing apparatus in the above embodiments performs operations have been described in detail in the relevant system or method embodiments, and will not be elaborated here.

[0131] Figure 7 A schematic diagram of another information processing apparatus provided in an embodiment of this application. See also... Figure 7 The device may include:

[0132] The sending module 71 is used to send the merchant's request to the server device. The merchant's request corresponds to the user's specific behavior information in the merchant's store.

[0133] The receiving module 72 is used to receive guidance information from the merchant store to the user corresponding to different user levels sent by the server device. Different user levels are different user levels among the multiple user levels that the merchant store has.

[0134] The management module 73 is used to manage users based on the guidance information provided by the merchant stores corresponding to different user levels, combined with the multiple user levels of the merchant stores.

[0135] Among them, the guidance information for users in the merchant stores corresponding to different user levels is generated based on the user traffic flow between different user levels. The traffic flow between different user levels is generated based on the store entry behavior of multiple users entering the merchant store in the current time period and the specific behavior information of multiple users in the merchant store in a specified time period.

[0136] Optionally, when the management module 73 manages users based on the guidance information provided by merchants to users corresponding to different user levels, and in conjunction with the multiple user levels of the merchants, it specifically performs the following: Displaying a target user level relationship diagram, which includes at least multiple user level-related marker information and indicator information representing user flow paths between different user levels, with the indicator information associated with the corresponding merchant guidance information; and responding to a trigger operation on the indicator information, displaying the merchant guidance information associated with the indicator information; and managing users across multiple user levels based on the user flow paths between different user levels and the corresponding merchant guidance information.

[0137] Figure 7 The information processing apparatus shown can execute the information processing method of the above method embodiments, and its implementation principle and technical effects will not be repeated here. The specific ways in which each module and unit of the information processing apparatus in the above embodiments performs operations have been described in detail in the relevant system or method embodiments, and will not be elaborated here.

[0138] Figure 8 This is a schematic diagram of the structure of a server device provided in an embodiment of this application. Figure 8 As shown, the server device includes: a memory 81 and a processor 82;

[0139] Memory 81 is used to store computer programs and can be configured to store various other data to support operation on the computing platform. Examples of this data include instructions for any application or method operating on the computing platform, contact data, phone book data, messages, pictures, videos, etc.

[0140] The memory 81 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random-access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0141] The processor 82, coupled to the memory 81, is used to execute a computer program in the memory 81 for: determining, based on a merchant's request, multiple users entering the merchant's store during the current time period, wherein the merchant's store has multiple user levels and different user levels require users to have different specific behavioral information within a specified time period; generating user flow paths between different user levels based on the multiple users' entry behavior and the specific behavioral information of the multiple users within the merchant's store during the specified time period, the user flow paths including user movement information between different user levels; generating guidance information for users from the merchant's store corresponding to different user levels based on the user flow paths; and sending the guidance information from the merchant's store corresponding to different user levels to the merchant's terminal for user management.

[0142] In an optional embodiment, where the user level is specifically implemented as a loyalty level and the specific behavioral information is specifically implemented as transaction behavior information, the processor 82, coupled to the memory 81, is used to execute a computer program in the memory 81 to: determine multiple users entering a merchant's store during the current time period, where the merchant's store has multiple loyalty levels and different loyalty levels require users to have different transaction behavior information within a specified time period; generate user flow paths between different loyalty levels based on the multiple users' store entry behavior and the multiple users' transaction behavior information within the merchant's store during the specified time period, the user flow paths including user flow information between different loyalty levels; generate guidance information for users from the merchant's store corresponding to different loyalty levels associated with the user flow paths based on the user flow paths between different loyalty levels; and generate a loyalty level relationship diagram corresponding to the merchant's store based on the multiple loyalty levels, the user flow paths between different loyalty levels, and the corresponding merchant's guidance information for users.

[0143] For a detailed description of the implementation process of each action by the processor, please refer to the relevant descriptions in the foregoing method embodiments or system embodiments, which will not be repeated here.

[0144] Furthermore, such as Figure 8 As shown, the server-side device also includes other components such as a communication component 83 and a power supply component 85. Figure 8 The diagram only shows a portion of the components and does not imply that the server-side device only includes... Figure 8 The components shown.

[0145] Figure 9 This is a schematic diagram of the structure of a terminal device provided in an embodiment of this application. Figure 9 As shown, the terminal device includes: a memory 91 and a processor 92;

[0146] Memory 91 is used to store computer programs and can be configured to store various other data to support operation on the computing platform. Examples of this data include instructions for any application or method operating on the computing platform, contact data, phone book data, messages, pictures, videos, etc.

[0147] The memory 91 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0148] The processor 92, coupled to the memory 91, is used to execute a computer program in the memory 91 for: sending a merchant's request to a server device, the merchant's request corresponding to specific user behavior information in the merchant's store; receiving guidance information from the server device for different user levels corresponding to different user levels in the merchant's store, the different user levels being different user levels among multiple user levels in the merchant's store; and managing users based on the guidance information from the merchant's store corresponding to different user levels, combined with the multiple user levels in the merchant's store; wherein, the guidance information from the merchant's store corresponding to different user levels is generated based on the user flow patterns between different user levels, and the flow patterns between different user levels are generated based on the store entry behavior of multiple users entering the merchant's store during the current time period and the specific behavior information of multiple users in the merchant's store during a specified time period.

[0149] Furthermore, such as Figure 9 As shown, the terminal device also includes other components such as a communication component 93, a display 94, a power supply component 95, and an audio component 96. Figure 9 The diagram only shows some components and does not mean that the terminal device only includes... Figure 9 The components shown.

[0150] For a detailed description of the implementation process of each action by the processor, please refer to the relevant descriptions in the foregoing method embodiments or system embodiments, which will not be repeated here.

[0151] Accordingly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed, can perform the steps described above that can be executed by a server device or a terminal device.

[0152] Accordingly, this application also provides a computer program product, including a computer program / instructions, which, when executed by a processor, enables the processor to perform the steps that can be executed by a server device or a terminal device in the above method embodiments.

[0153] The aforementioned communication components are configured to facilitate wired or wireless communication between the device containing the communication components and other devices. The device containing the communication components can access wireless networks based on communication standards, such as WiFi, 2G, 3G, 4G / LTE, 5G, or combinations thereof. In one exemplary embodiment, the communication components receive broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication components also include a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wide Band (UWB), Bluetooth (BT), and other technologies.

[0154] The aforementioned display includes a screen, which may include a Liquid Crystal Display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touchscreen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can sense not only the boundaries of touch or swipe actions but also the duration and pressure associated with the touch or swipe operation.

[0155] The aforementioned power supply components provide power to various components within the device in which they reside. These power supply components may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power to the device in which they reside.

[0156] The aforementioned audio component can be configured to output and / or input audio signals. For example, the audio component includes a microphone (MIC) configured to receive external audio signals when the device containing the audio component is in an operating mode, such as call mode, recording mode, or voice recognition mode. The received audio signals can be further stored in memory or transmitted via a communication component. In some embodiments, the audio component also includes a speaker for outputting audio signals.

[0157] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0158] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0159] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0160] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0161] In a typical configuration, a computing device includes one or more processors (Central Processing Unit, CPU), input / output interfaces, network interfaces, and memory.

[0162] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0163] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0164] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0165] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. An information processing method, characterized in that, include: Based on the merchant's request, identify multiple users who enter the merchant's store during the current time period. The merchant's store has multiple user levels, and different user levels require users to have different specific behavioral information within a specified time period. The specified time period is the most recent N units of time, where N is a positive integer; For multiple users who have entered the store, the initial user level of each user is determined by combining the specific behavioral information of the multiple users in the merchant's store within the most recent N units of time when they entered the store. Based on the specific behavioral information of multiple users within the merchant's store over the most recent N unit time intervals before the end of the current time period, the target user level corresponding to each user is determined. Based on the initial user level and target user level of each user, user flow lines between different user levels are generated, reflecting the flow information of users between different user levels. For any user flow line, the type of the user flow line is determined based on the hierarchical relationship between the initial user level and the target user level associated with the user flow line. Based on the type of user traffic flow, generate guidance information for users from merchants and stores corresponding to the initial user level and target user level associated with the user traffic flow. Based on the multiple user levels, an initial user level relationship diagram is generated, which includes the marking information corresponding to the multiple user levels; based on the user flow lines between different user levels, indicator information representing the user flow lines is added to the initial user level relationship diagram; at least the indicator information is associated with the guidance information of the corresponding merchant stores to users to obtain the target user level relationship diagram. The target user hierarchy diagram is sent to the merchant terminal so that the merchant terminal can display it to the merchant for user management.

2. The method according to claim 1, characterized in that, The current time period refers to the most recent M units of time, where M is a positive integer and M is less than N; Accordingly, based on the specific behavioral information of multiple users within the merchant's store over the most recent N time units before the end of the current time period, the target user level corresponding to each of the multiple users is determined, including: Based on the specific behavioral information of multiple users in the merchant's store before entering the store and after entering the store until the end of the most recent M units of time, generate specific behavioral information of multiple users in the merchant's store within the most recent N units of time. Based on the specific behavioral information of multiple users in the merchant's store within the most recent N unit time periods, determine the target user level corresponding to each of the multiple users.

3. The method according to claim 1, characterized in that, Based on the initial user level and target user level of multiple users, generate user traffic flow patterns between different user levels, including: Based on the initial user level and target user level of each user, users with the same initial user level and target user level are grouped into the same user group. Based on the number of users in each user group, generate the user flow path between the initial user level and the target user level associated with that user group.

4. The method according to claim 1, characterized in that, The types include traffic upgrade types and traffic downgrade types. Based on the type of user traffic flow, the system generates guidance information for users from merchants corresponding to the initial user level and target user level associated with the user traffic flow, including: If the user traffic flow is of the type of traffic upgrade, then the user profile data corresponding to the user traffic flow is combined to generate the guidance transition strategy information corresponding to the initial user level and the user retention strategy information corresponding to the target user level. If the user traffic flow is of the traffic degradation type, then user recall strategy information corresponding to the initial user level and anti-churn strategy information corresponding to the target user level are generated by combining the user profile data corresponding to the user traffic flow.

5. The method according to claim 1, characterized in that, Also includes: In the target user hierarchy graph, add marker information to represent the ways in which multiple users enter the store. The ways in which multiple users enter the store include entering the merchant's store through public domain channels and / or entering the merchant's store through the merchant's self-operated channels.

6. An information processing method, characterized in that, include: Send a merchant's request to the server device, wherein the merchant's request corresponds to specific behavioral information of the user in the merchant's store; The system receives guidance information from the merchant's store for users corresponding to different user levels sent by the server device. Different user levels are different user levels among the multiple user levels that the merchant's store has. Display a target user hierarchy relationship diagram, which includes at least the tagging information corresponding to the multiple user levels and the indication information indicating the user flow path between different user levels. The indication information is associated with the corresponding merchant store's guidance information for users. In response to the triggering operation of the indicated information, the system displays the guidance information of the merchant store associated with the indicated information to the user; and performs user management among the multiple user levels based on the user flow patterns between the different user levels and the corresponding guidance information of the merchant store to the user. The guidance information for users at different user levels is generated based on the user flow patterns between these levels. These flow patterns reflect the movement of users across different user levels and are generated based on the in-store behavior of multiple users entering the merchant's store during the current time period and their specific behaviors within the store during a specified time period. The specified time period is the most recent N units of time, where N is a positive integer. For multiple users who have entered the store, their specific behaviors within the store during the most recent N units of time are combined to determine their individual behavior patterns. The system identifies the initial user tier; determines the target user tier for each user based on their specific behavioral information within the merchant's store within the N units of time remaining until the end of the current time period; generates user traffic flow paths between different user tiers based on the initial and target user tiers for each user; determines the type of any user traffic flow path based on the hierarchical relationship between the initial and target user tiers associated with the user traffic flow path; and generates guidance information for users from the merchant's store corresponding to the initial and target user tiers associated with the user traffic flow path based on the type of the user traffic flow path.

7. A user information processing method, characterized in that, include: Identify multiple users who enter a merchant's store during the current time period. The merchant's store has multiple loyalty levels, and different loyalty levels require users to have different transaction behavior information within a specified time period. The specified time period is the most recent N units of time, where N is a positive integer; For multiple users who have entered the store, the initial loyalty level of each user is determined by combining their specific behavioral information within the merchant's store over the most recent N units of time. The target loyalty level of each user is then determined based on their specific behavioral information within the merchant's store over the most recent N units of time remaining until the end of the current time period. Finally, user flow patterns between different loyalty levels are generated based on the initial and target loyalty levels of each user, reflecting the flow of users between these different loyalty levels. For any user traffic flow, the type of the user traffic flow is determined based on the hierarchical relationship between the initial loyalty level and the target loyalty level associated with the user traffic flow. Based on the type of user traffic flow, generate guidance information for users from merchants and stores corresponding to the initial loyalty level and target loyalty level associated with the user traffic flow. Based on the multiple loyalty levels, an initial loyalty level relationship graph is generated, which includes tag information corresponding to the multiple loyalty levels. Based on the user traffic flow between loyalty levels, indicator information representing the user traffic flow is added to the initial loyalty level relationship graph. At least the indicator information is associated with the user guidance information of the corresponding merchant store to generate a loyalty level relationship graph corresponding to the merchant store.

8. An information processing device, characterized in that, include: The acquisition module is used to acquire multiple users who have entered the merchant's store during the current time period according to the merchant's request. The merchant's store has multiple user levels, and different user levels require users to have different specific behavioral information within a specified time period. The specified time period is the most recent N units of time, where N is a positive integer; The first generation module is used to determine the initial user level of each user based on the specific behavior information of the multiple users in the merchant's store within the most recent N units of time when they entered the store. Based on the specific behavioral information of multiple users in the merchant's store within the most recent N units of time before the end of the current time period, the target user level corresponding to each user is determined; based on the initial user level and target user level corresponding to each user, user flow lines between different user levels are generated, and the user flow lines between different user levels reflect the flow information of users between different user levels. The second generation module is used to determine the type of user traffic flow for any given user traffic flow based on the hierarchical relationship between the initial user level and the target user level associated with the user traffic flow. Based on the type of user traffic flow, generate guidance information for users from merchants and stores corresponding to the initial user level and target user level associated with the user traffic flow. The sending module is used to generate an initial user hierarchy relationship diagram based on the multiple user levels, the initial user hierarchy relationship diagram including the marking information corresponding to the multiple user levels; add indication information representing the user traffic flow between different user levels to the initial user hierarchy relationship diagram based on the user traffic flow between different user levels; and associate the indication information with the guidance information of the corresponding merchant store to the user to obtain the target user hierarchy relationship diagram. The target user hierarchy diagram is sent to the merchant terminal so that the merchant terminal can display it to the merchant for user management.

9. An information processing device, characterized in that, include: The sending module is used to send a merchant's request to the server device, wherein the merchant's request corresponds to specific behavioral information of the user in the merchant's store; The receiving module is used to receive guidance information from the merchant store to users corresponding to different user levels sent by the server device. Different user levels are different user levels among the multiple user levels that the merchant store has. The management module is used to display the target user hierarchy relationship diagram. The target user hierarchy relationship diagram includes at least the marking information corresponding to the multiple user levels and the indication information indicating the user flow path between different user levels. The indication information is associated with the corresponding merchant store's guidance information for users. In response to the triggering operation of the indicated information, the system displays the guidance information of the merchant store associated with the indicated information to the user; and performs user management among the multiple user levels based on the user flow patterns between the different user levels and the corresponding guidance information of the merchant store to the user. Specifically, for multiple users who have entered the store, the initial user level for each user is determined by combining their specific behavioral information within the merchant's store over the most recent N units of time after entering the store. The target user level for each user is then determined based on their specific behavioral information within the merchant's store over the most recent N units of time remaining until the end of the current time period. Based on the initial and target user levels, user flow paths between different user levels are generated, reflecting the flow of users between these levels. For any given user flow path, its type is determined based on the hierarchical relationship between the initial and target user levels associated with it. Finally, based on the type of user flow path, guidance information for users from the merchant's store corresponding to the initial and target user levels associated with the user flow path is generated.

10. A server-side device, characterized in that, include: Memory and processor; The memory is used to store a computer program; the processor, coupled to the memory, is used to execute the computer program to perform the steps of the method according to any one of claims 1-5 and 7.

11. A terminal device, characterized in that, include: Memory and processor; The memory is used to store computer programs; The processor, coupled to the memory, is used to execute the computer program for performing the steps of the method of claim 6.

12. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it causes the processor to perform the steps of the method according to any one of claims 1-7.

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