CN117237013A - Gift package pushing method, device, equipment and storage medium based on member rights and interests - Google Patents
Gift package pushing method, device, equipment and storage medium based on member rights and interests Download PDFInfo
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Abstract
The embodiment of the application provides a gift bag pushing method, device and equipment based on member interests and a storage medium. The method comprises the following steps: acquiring target customer characteristic data and member equity characteristic data, wherein the member equity characteristic data comprises a plurality of member equity and corresponding cost of each member equity; analyzing the target client characteristic data and the member equity characteristic data through a matching model to obtain a plurality of initial member equity matched with the target client characteristic data; determining a plurality of target member interests matched with the target client characteristic data based on the cost of each initial member interest within the range of preset cost, and combining the plurality of target member interests into a target gift bag; and determining a pushing mode based on the target client characteristic data, and pushing the target gift bag according to the pushing mode. The application aims to push the corresponding gift bags by combining with the customized target customer characteristic data, thereby realizing the promotion of the pushing effect of the gift bags and increasing the satisfaction degree of customers on the pushing of the gift bags.
Description
Technical Field
The application relates to the technical field of financial science and technology, in particular to a gift bag pushing method based on member interests, a gift bag pushing device based on member interests, computer equipment and a computer readable storage medium.
Background
For financial institutions such as insurance companies, packages are often provided to customers purchasing insurance at random. For example, in the field of car insurance services, insurance companies or platforms provide clients with packages of member interests such as service coupons, points, and the like. Therefore, the experience of the client can be improved, the loyalty of the client can be increased, and the insurance repurchase rate of the client can be further improved.
However, the conventional gift bag pushing method is mainly selected and pushed manually according to experience, so the following problems are easily caused: first, the lack of personalization, and the inability to customize for different customers' needs and preferences, results in a poor customer experience. Secondly, the pushing process lacks standardization and scientificity, and a systematic methodology is difficult to form, so that the pushing efficiency of the gift is lower. In conclusion, the pushing effect of the existing gift bag pushing mode is poor, and the satisfaction degree of clients is low.
Disclosure of Invention
The application provides a gift bag pushing method based on member interests, a gift bag pushing device based on member interests, computer equipment and a computer readable storage medium, which aim to push corresponding gift bags in combination with target customer characteristic data customization, thereby realizing the promotion of the pushing effect of the gift bags and increasing the satisfaction degree of customers on gift bag pushing.
In order to achieve the above object, the present application provides a gift bag pushing method based on member rights and interests, the method comprising:
acquiring target customer characteristic data and acquiring member equity characteristic data, wherein the member equity characteristic data comprises a plurality of member equity and corresponding cost of each member equity;
analyzing the target client characteristic data and the member equity characteristic data through a matching model to obtain a plurality of initial member equity matched with the target client characteristic data;
determining a plurality of target member interests matched with the target client characteristic data based on the cost of each initial member interest within the range of preset cost, and combining the plurality of target member interests into a target gift bag;
and determining a pushing mode based on the target client characteristic data, and pushing the target gift bag according to the pushing mode.
In order to achieve the above object, the present application further provides a gift bag pushing device based on member rights and interests, including:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring target client characteristic data and acquiring member right characteristic data, wherein the member right characteristic data comprises a plurality of member rights and costs corresponding to each member right;
the analysis module is used for analyzing the target client characteristic data and the member interest characteristic data through a matching model to obtain a plurality of initial member interests matched with the target client characteristic data;
the determining module is used for determining a plurality of target member interests matched with the target client characteristic data based on the cost of each initial member interest within the range of preset cost, and combining the plurality of target member interests into a target gift bag;
and the gift bag pushing module is used for determining a pushing mode based on the target client characteristic data and pushing the target gift bag according to the pushing mode.
In addition, to achieve the above object, the present application also provides a computer apparatus including a memory and a processor; the memory is used for storing a computer program; the processor is configured to execute the computer program and implement the step of the gift box pushing method based on the member rights and interests according to any one of the embodiments of the present application when the computer program is executed.
In addition, to achieve the above object, the present application further provides a computer readable storage medium storing a computer program, where the computer program when executed by a processor causes the processor to implement the steps of the gift box pushing method based on member rights according to any one of the embodiments of the present application.
The gift bag pushing method based on the member interests, the gift bag pushing device based on the member interests, the computer equipment and the computer readable storage medium disclosed by the embodiment of the application can acquire target client characteristic data and member interests characteristic data, wherein the member interests characteristic data comprises a plurality of member interests and corresponding cost of each member interest. Further, the target client characteristic data and the member equity characteristic data can be analyzed through the matching model, so that a plurality of initial member equity matched with the target client characteristic data are obtained. And determining a plurality of target member interests matching the target client characteristic data based on the cost of each initial member interest within a range of preset costs, and combining the plurality of target member interests into a target gift bag. Therefore, the pushing mode can be determined based on the target client characteristic data, and the target gift bag can be pushed according to the pushing mode. The application not only considers the target customer characteristic data, but also considers the member right cost so as to ensure that the pushed gift bags are within a reasonable cost range. And finally, selecting a proper pushing mode according to the characteristic data of the target client, and pushing the customized target gift bag to the client. The application also improves the pushing effect of the gift bag and the satisfaction and loyalty of the client on the basis of providing the personalized gift bag for the client.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic view of a gift box pushing method based on member rights and interests according to an embodiment of the present application;
fig. 2 is a schematic flow chart of a gift bag pushing method based on member rights and interests according to an embodiment of the present application;
FIG. 3 is a schematic flow chart of obtaining initial membership rights according to an embodiment of the present application;
FIG. 4 is a schematic flow chart of obtaining rights and interests of a target member according to an embodiment of the present application;
fig. 5 is a schematic flow chart of pushing a target gift package according to an embodiment of the present application;
FIG. 6 is a schematic block diagram of a gift bag pusher based on member rights and interests provided by an embodiment of the present application;
fig. 7 is a schematic block diagram of a computer device provided by an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The flow diagrams depicted in the figures are merely illustrative and not necessarily all of the elements and operations/steps are included or performed in the order described. For example, some operations/steps may be further divided, combined, or partially combined, so that the order of actual execution may be changed according to actual situations. In addition, although the division of the functional modules is performed in the apparatus schematic, in some cases, the division of the modules may be different from that in the apparatus schematic.
The term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Some embodiments of the present application are described in detail below with reference to the accompanying drawings. The following embodiments and features of the embodiments may be combined with each other without conflict.
As shown in fig. 1, the gift bag pushing method based on the member rights and interests provided by the embodiment of the application can be applied to the application environment shown in fig. 1. The application environment includes a terminal device 110 and a server 120, where the terminal device 110 may communicate with the server 120 through a network. Specifically, the server 120 is capable of acquiring target client feature data and acquiring member right feature data, where the member right feature data includes a plurality of member rights and a cost corresponding to each member right; further analyzing the target client characteristic data and the member equity characteristic data through a matching model to obtain a plurality of initial member equity matched with the target client characteristic data; determining a plurality of target member interests matched with the target client characteristic data based on the cost of each initial member interest within the range of preset cost, and combining the plurality of target member interests into a target gift bag; and finally, determining a pushing mode based on the target client characteristic data, and pushing the target gift bag to the terminal equipment 110 according to the pushing mode. The server 120 may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms. The terminal device 110 may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the present application is not limited herein.
Referring to fig. 2, fig. 2 is a flow chart of a gift box pushing method based on member rights and interests according to an embodiment of the present application. As shown in fig. 2, the gift certificate pushing method based on the member interests includes steps S11 to S14.
Step S11: the method comprises the steps of obtaining target customer characteristic data and obtaining member equity characteristic data, wherein the member equity characteristic data comprises a plurality of member equity and corresponding cost of each member equity.
The target client characteristic data is characteristic data corresponding to the target client.
It should be noted that the present application is not limited to the target client, for example, the target client may be a client for purchasing car insurance from an insurance company, or a client for purchasing corresponding services and products from other companies, and the present application is described taking the target client as a client for purchasing car insurance from an insurance company as an example.
Further, the target customer characteristic data includes characteristic data such as life cycle information of the target customer, risk awareness (high/medium/low), life stage (just graduation/single/married/baby), behavior data (purchase record/browsing history/clicking behavior, etc.), etc., which is not limited in the present application.
The membership attribute data includes information about a number of membership interests and each membership interest. Wherein the member interests include interests such as coupons, points, discounts and the like in the interests pool; the information related to the member equity includes information such as a member equity type, a member equity expiration date, a member equity acquisition rate, a member equity use rate, and a member equity cost, which is not limited in the present application.
In the embodiment of the application, the target client characteristic data and the member right characteristic data can be obtained so as to be used for analyzing the target client characteristic data and the member right characteristic data, thereby providing personalized member rights for the target client.
Step S12: and analyzing the target client characteristic data and the member equity characteristic data through the matching model to obtain a plurality of initial member equity matched with the target client characteristic data.
The initial membership benefit is the membership benefit which is screened for the first time and matched with the characteristic data of the target client.
Specifically, the target client characteristic data and the member equity characteristic data may be input to the matching model, so as to output and obtain a plurality of initial member equity matched with the target client characteristic data.
The application is not limited to the type of the matching model, and includes, for example, a multi-layer perceptron model, a convolutional neural network model, a cyclic neural network model, a long-short-term memory network model, and the like.
Alternatively, the matching model may be trained by: and collecting a plurality of customer characteristic data and member interest characteristic data, respectively extracting characteristic vectors of the customer characteristic data and the member interest characteristic data, and further mapping the extracted characteristic vectors of the customer characteristic data and the member interest characteristic data to an interested value through a convolutional neural network model, so that training is realized to obtain a matching model.
It can be appreciated that the target client feature data and the interest value of each member right can be obtained through the matching model, so that the member right with the interest value greater than the preset threshold can be confirmed as the initial member right.
In the embodiment of the application, the target client characteristic data and the member equity characteristic data can be analyzed through the matching model to obtain the initial member equity matched with the target client characteristic data, thereby realizing the personalized customized member equity for the target client and improving the utilization rate of the member equity and the satisfaction degree of the client.
Step S13: and determining a plurality of target member interests matched with the target client characteristic data based on the cost of each initial member interest within the range of preset cost, and combining the plurality of target member interests into a target gift bag.
It will be appreciated that cost constraints may also be considered before constructing the gift bag to ensure that the gift bag is within a preset cost. Specifically, the matching degree of the initial membership benefits can be ordered from big to small, and then the costs of the initial membership benefits are accumulated sequentially according to the order. At each time an initial membership benefit is added, it is determined whether the accumulated cost is still within the range of the preset cost until the accumulated cost exceeds the preset cost, at which point the addition of membership benefits is stopped. Thus, the added initial member interests may be determined as target member interests, and several target member interests may be combined as a target gift package.
In the embodiment of the application, the cost control can be considered, so that the target member benefits with high matching degree, namely the target gift bag, are provided for the target clients. Customer satisfaction and loyalty are also improved based on realizing cost control and optimizing the value of the target gift package.
Step S14: and determining a pushing mode based on the target client characteristic data, and pushing the target gift bag according to the pushing mode.
The pushing mode includes pushing time, pushing channel and the like, and the pushing channel can include various modes such as email, short message, mobile application notification, social media, website popup window and the like.
Specifically, the characteristic data of the target client can be analyzed to determine the preference, the behavior mode and the like of the target client, further determine the pushing mode corresponding to the target client, and push the target gift bag to the target client according to the pushing mode.
In the embodiment of the application, the proper pushing mode of the target client is determined according to the characteristic data of the target client, and the target gift bag is pushed to the target client according to the pushing mode. Through a personalized and accurate pushing mode, the interest and participation degree of the target client to the target gift bag are improved, and further the satisfaction degree and the loyalty degree of the client are improved.
Optionally, before determining the push mode based on the target client feature data, the method further includes: acquiring the cost of a plurality of target member interests and each target member interest; and judging whether the sum of the costs of the rights and interests of the target member is smaller than or equal to a preset cost.
On the basis of the above embodiment, determining a push manner based on the target client feature data includes: and determining a pushing mode based on the target client characteristic data when the sum of the costs of the target member interests is smaller than or equal to the preset cost.
Specifically, before pushing the target gift box to the target client, the cost of the target gift box can be checked for the second time, so that the cost of the target gift box is ensured to be within the range of the preset cost, and the checked target gift box is pushed to the target client according to the pushing mode.
In the embodiment of the application, the cost of the target gift bag can be subjected to secondary auditing so as to further ensure cost control and avoid the loss caused by cost hyperbranched.
The gift box pushing method based on the membership benefits can acquire target client feature data and membership benefit feature data, wherein the membership benefit feature data comprises a plurality of membership benefits and corresponding cost of each membership benefit. Further, the target client characteristic data and the member equity characteristic data can be analyzed through the matching model, so that a plurality of initial member equity matched with the target client characteristic data are obtained. And determining a plurality of target member interests matching the target client characteristic data based on the cost of each initial member interest within a range of preset costs, and combining the plurality of target member interests into a target gift bag. Therefore, the pushing mode can be determined based on the target client characteristic data, and the target gift bag can be pushed according to the pushing mode. The application not only considers the target customer characteristic data, but also considers the member right cost so as to ensure that the pushed gift bags are within a reasonable cost range. And finally, selecting a proper pushing mode according to the characteristic data of the target client, and pushing the customized target gift bag to the client. The application also improves the pushing effect of the gift bag and the satisfaction and loyalty of the client on the basis of providing the personalized gift bag for the client.
Referring to fig. 3, fig. 3 is a flow chart of obtaining initial membership rights according to an embodiment of the present application. As shown in fig. 3, obtaining the initial membership right may be achieved through steps S121 to S122.
Step S121: and determining the interest degree corresponding to each member interest based on the target client characteristic data and the member interest characteristic data through the matching model to obtain a plurality of interest values.
Step S122: and determining the membership benefit with the interest value larger than the first preset threshold value as the initial membership benefit.
Optionally, determining, by the matching model, a degree of interest corresponding to each member property based on the target client feature data and the member property feature data, to obtain a plurality of interest values, including: acquiring a similarity value of the current member interests and other member interests, and determining the member interests corresponding to the highest similarity value as similar member interests of the current member interests; determining the interest degree corresponding to the current membership based on the highest similarity value and the interaction matrix of the target client characteristic data and the similar membership, and obtaining the interest value corresponding to the current membership; acquiring other member interests and determining similar member interests of the other member interests; repeating the steps until the interest degree corresponding to each member interest is determined, and obtaining a plurality of interest values.
The interest degree corresponding to the membership benefit represents the interest degree of the target client on the membership benefit.
Specifically, the similarity value between the current membership benefit and other membership benefits can be determined by the following formula:
wherein j is the current membership benefit; k is the rights and interests of other members; m is the number of customer characteristic data; n is the number of member interests; cosine Similarity (j, k) is the similarity value of the current membership benefit to other membership benefits.
After obtaining the similarity value of the current membership and other membership, the membership corresponding to the highest similarity value can be determined as the similar membership of the current membership.
Further, after obtaining the similar membership benefits, the determination of the interest value corresponding to the current membership benefit may be achieved by the following formula:
wherein,the interest value corresponding to the current membership benefit; k is similar member rights and interests; r < i >, k]An interaction matrix for the target customer characteristic data and similar member interests; cosine Similarity (j, k) is the highest similarity value.
It can be appreciated that after obtaining the interest value corresponding to the current membership benefit, the interest value corresponding to the other membership benefits can be determined through the above steps. Thus, a membership benefit having an interest value greater than a first preset threshold may be determined as an initial membership benefit.
The first preset threshold value is not limited, and may be, for example, 80% or 90%.
It will be appreciated that a value of interest for a membership benefit that is greater than a first predetermined threshold indicates that the target client is more interested in that membership benefit, and thus a membership benefit having an interest value that is greater than the first predetermined threshold may be determined as an initial membership benefit.
In the embodiment of the application, the interested value corresponding to each membership benefit can be determined, and then the membership benefit with the interested value larger than the first preset threshold value is determined as the initial membership benefit, so that the membership benefit corresponding to the target client is initially determined.
With continued reference to fig. 4, fig. 4 is a schematic flow chart of obtaining rights and interests of a target member according to an embodiment of the present application. As shown in fig. 4, obtaining the target member rights may be achieved through steps S141 to S142.
Step S141: and sorting the initial membership benefits according to the order of the interest values from large to small, and calculating the cost of the current initial membership benefits.
Step S142: and when the cost of the current initial member benefit is less than or equal to the preset cost and the cost of the next initial member benefit is greater than the preset cost, determining the initial member benefit corresponding to the cost of the current initial member benefit as the target member benefit.
The cost of the current initial membership benefit is the sum of the costs accumulated to the current initial membership benefit according to the order.
Specifically, the initial membership benefits are ordered according to the sequence from the large value to the small value, and the dynamic planning result is obtained through a state transfer equation, namely the cost of the current initial membership benefits is obtained. Further, starting from the cost of the initial membership benefit, determining the value of obtaining the maximum membership benefit within the preset cost range according to the state transfer equation, thereby realizing the optimal combination of gift bags.
In the embodiment of the application, the cost control can be considered, so that the target member benefits with high matching degree, namely the target gift bag, are provided for the target clients. Customer satisfaction and loyalty are also improved based on realizing cost control and optimizing the value of the target gift package.
Referring to fig. 5, fig. 5 is a schematic flow chart of pushing a target gift package according to an embodiment of the present application. As shown in fig. 5, obtaining the target member interests may be achieved through steps S143 to S144.
Step S143: and analyzing the target customer characteristic data through a decision tree algorithm to obtain push time and push channels.
Step S144: and pushing the target gift bag through the pushing channel at the pushing time.
Specifically, the target client characteristic data can be analyzed through a decision tree algorithm to determine the appropriate pushing time and pushing channel of the target client. The pushing channel may include various manners such as email, sms, mobile application notification, social media, website popup, etc., which is not limited in this disclosure.
Further, after the pushing time and the pushing channel are determined, the target gift package can be pushed to the target client through the pushing channel at the pushing time.
In the embodiment of the application, the proper pushing time and pushing channel of the target client can be determined according to the characteristic data of the target client, and the target gift bag is pushed to the target client according to the pushing time and the pushing channel. Through a personalized and accurate pushing mode, the interest and participation degree of a target client to a target gift bag can be improved, and further the satisfaction degree and the loyalty degree of the client are improved.
Optionally, after pushing the target gift bag according to the pushing manner, the method further includes: evaluating push indexes corresponding to the target gift bags, wherein the push indexes comprise click rates; when the click rate is larger than a second preset threshold value, determining a corresponding pushing mode based on other client feature data, and pushing a corresponding gift bag according to the pushing mode corresponding to the other client feature data.
The second preset threshold value is not limited, and for example, the second preset threshold value is 80%, 90%, or the like, and the present application is described taking the second preset threshold value as 80% as an example.
Specifically, after the target gift box is pushed to the target client, the pushing effect of the target gift box can be judged, for example, pushing indexes such as click rate corresponding to the target gift box are evaluated. When the click rate is greater than 80%, the gift box pushing is proved to achieve a good effect. Therefore, the proper pushing mode and the corresponding gift bags can be determined according to the characteristic data of other clients, so that the corresponding gift bags are pushed to other clients based on the corresponding pushing mode.
In the embodiment of the application, the pushing effect of the target gift bag can be judged, and when the gift bag is pushed to obtain a better effect, the corresponding gift bag is pushed to other clients based on the corresponding pushing mode.
Referring to fig. 6, fig. 6 is a schematic block diagram of a gift box pushing device based on member rights and interests according to an embodiment of the present application. The gift bag pushing device based on the member rights and interests can be configured in a server for executing the gift bag pushing method based on the member rights and interests.
As shown in fig. 6, the gift certificate pushing device 200 based on member rights includes: the system comprises an acquisition module 201, an analysis module 202, a determination module 203 and a gift bag pushing module 204.
An obtaining module 201, configured to obtain target client feature data and obtain member rights feature data, where the member rights feature data includes a plurality of member rights and a cost corresponding to each member rights;
the analysis module 202 is configured to analyze the target client feature data and the member rights and interests feature data through a matching model, so as to obtain a plurality of initial member rights and interests that match the target client feature data;
a determining module 203, configured to determine, based on the cost of each of the initial member interests, a plurality of target member interests that match the target client feature data within a range of preset costs, and combine the plurality of target member interests into a target gift package;
and the gift bag pushing module 204 is configured to determine a pushing manner based on the target client feature data, and push the target gift bag according to the pushing manner.
The analysis module 202 is further configured to determine, through the matching model, a degree of interest corresponding to each member benefit based on the target client feature data and the member benefit feature data, so as to obtain a plurality of interest values; and determining the membership benefit with the interest value larger than a first preset threshold as the initial membership benefit.
The analysis module 202 is further configured to obtain a similarity value between a current membership benefit and other membership benefits, and determine a membership benefit corresponding to the highest similarity value as a similar membership benefit of the current membership benefit; determining the interest degree corresponding to the current membership based on the highest similarity value and the interaction matrix of the target client characteristic data and the similar membership, and obtaining the interest value corresponding to the current membership; acquiring the other member interests and determining similar member interests of the other member interests; repeating the steps until the interest degree corresponding to each member benefit is determined, and obtaining a plurality of interest values.
The determining module 203 is further configured to rank the initial membership benefits in order of the interest values from large to small, and calculate a cost of a current initial membership benefit, where the cost of the current initial membership benefit is a sum of costs accumulated to the current initial membership benefit according to the ranking; and when the cost of the current initial member right is smaller than or equal to the preset cost and the cost of the next initial member right is larger than the preset cost, determining the initial member right corresponding to the cost of the current initial member right as the target member right.
The gift bag pushing module 204 is further configured to obtain a number of the target member interests and a cost of each of the target member interests; judging whether the sum of the costs of the rights and interests of the target member is smaller than or equal to the preset cost; and determining the pushing mode based on the target client characteristic data when the sum of the costs of the target member interests is smaller than or equal to the preset cost.
The gift box pushing module 204 is further configured to analyze the target client feature data through a decision tree algorithm, so as to obtain the pushing time and the pushing channel; pushing the target gift package through the pushing channel at the pushing time.
The gift package pushing module 204 is further configured to evaluate a pushing index corresponding to the target gift package, where the pushing index includes a click rate; and when the click rate is larger than a second preset threshold value, determining a corresponding pushing mode based on other client characteristic data, and pushing a corresponding gift bag according to the pushing mode corresponding to the other client characteristic data.
It should be noted that, for convenience and brevity of description, specific working processes of the above-described apparatus and each module, unit may refer to corresponding processes in the foregoing method embodiments, which are not repeated herein.
The methods and apparatus of the present application are operational with numerous general purpose or special purpose computing system environments or configurations. For example: personal computers, server computers, hand-held or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments that include any of the above systems or devices, and the like.
By way of example, the methods, apparatus described above may be implemented in the form of a computer program that is executable on a computer device as shown in fig. 7.
Referring to fig. 7, fig. 7 is a schematic diagram of a computer device according to an embodiment of the application. The computer device may be a server.
As shown in fig. 7, the computer device includes a processor, a memory, and a network interface connected by a system bus, wherein the memory may include a volatile storage medium, a non-volatile storage medium, and an internal memory. The non-volatile storage medium may store an operating system and a computer program. The computer program includes program instructions that, when executed, cause the processor to perform any one of a number of membership based gift box pushing methods.
The processor is used to provide computing and control capabilities to support the operation of the entire computer device.
The internal memory provides an environment for the execution of a computer program in a non-volatile storage medium that, when executed by the processor, causes the processor to perform any one of a number of membership based gift box pushing methods.
The network interface is used for network communication such as transmitting assigned tasks and the like. It will be appreciated by those skilled in the art that the architecture of the computer device, which is merely a block diagram of some of the structures associated with the present application, is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or less components than those shown, or may combine some of the components, or have a different arrangement of components.
It should be appreciated that the processor may be a central processing unit (Central Processing Unit, CPU), but may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Wherein in some embodiments the processor is configured to run a computer program stored in the memory to implement the steps of: acquiring target customer characteristic data and acquiring member equity characteristic data, wherein the member equity characteristic data comprises a plurality of member equity and corresponding cost of each member equity; analyzing the target client characteristic data and the member equity characteristic data through a matching model to obtain a plurality of initial member equity matched with the target client characteristic data; determining a plurality of target member interests matched with the target client characteristic data based on the cost of each initial member interest within the range of preset cost, and combining the plurality of target member interests into a target gift bag; and determining a pushing mode based on the target client characteristic data, and pushing the target gift bag according to the pushing mode.
In some embodiments, the processor is further configured to determine, through the matching model, a degree of interest corresponding to each of the membership rights based on the target client feature data and the membership rights feature data, and obtain a plurality of interest values; and determining the membership benefit with the interest value larger than a first preset threshold as the initial membership benefit.
In some embodiments, the processor is further configured to obtain a similarity value between a current membership benefit and other membership benefits, and determine a membership benefit corresponding to the highest similarity value as a similar membership benefit of the current membership benefit; determining the interest degree corresponding to the current membership based on the highest similarity value and the interaction matrix of the target client characteristic data and the similar membership, and obtaining the interest value corresponding to the current membership; acquiring the other member interests and determining similar member interests of the other member interests; repeating the steps until the interest degree corresponding to each member benefit is determined, and obtaining a plurality of interest values.
In some embodiments, the processor is further configured to rank the initial membership benefits in order of the value of interest from greater than lesser than the value of interest, and calculate a cost of a current initial membership benefit, wherein the cost of the current initial membership benefit is a sum of costs accumulated to the current initial membership benefit in order; and when the cost of the current initial member right is smaller than or equal to the preset cost and the cost of the next initial member right is larger than the preset cost, determining the initial member right corresponding to the cost of the current initial member right as the target member right.
In some embodiments, the processor is further configured to obtain a number of the target member benefits and a cost for each of the target member benefits; judging whether the sum of the costs of the rights and interests of the target member is smaller than or equal to the preset cost; and determining the pushing mode based on the target client characteristic data when the sum of the costs of the target member interests is smaller than or equal to the preset cost.
In some embodiments, the processor is further configured to analyze the target client feature data by a decision tree algorithm to obtain the push time and the push channel; pushing the target gift package through the pushing channel at the pushing time.
In some embodiments, the processor is further configured to evaluate a push indicator corresponding to the target gift package, where the push indicator includes a click rate; and when the click rate is larger than a second preset threshold value, determining a corresponding pushing mode based on other client characteristic data, and pushing a corresponding gift bag according to the pushing mode corresponding to the other client characteristic data.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium is stored with a computer program, the computer program comprises program instructions, and when the program instructions are executed, any gift bag pushing method based on the member rights and interests is realized.
The computer readable storage medium may be an internal storage unit of the computer device according to the foregoing embodiment, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like, which are provided on the computer device.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like.
While the application has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (10)
1. A gift bag pushing method based on member rights and interests, the method comprising:
acquiring target customer characteristic data and acquiring member equity characteristic data, wherein the member equity characteristic data comprises a plurality of member equity and corresponding cost of each member equity;
analyzing the target client characteristic data and the member equity characteristic data through a matching model to obtain a plurality of initial member equity matched with the target client characteristic data;
determining a plurality of target member interests matched with the target client characteristic data based on the cost of each initial member interest within the range of preset cost, and combining the plurality of target member interests into a target gift bag;
and determining a pushing mode based on the target client characteristic data, and pushing the target gift bag according to the pushing mode.
2. The method of claim 1, wherein the analyzing the target client feature data and the member equity feature data by the matching model obtains a plurality of initial member equities matched with the target client feature data, including:
determining the interest degree corresponding to each member interest based on the target client characteristic data and the member interest characteristic data through the matching model to obtain a plurality of interest values;
and determining the membership benefit with the interest value larger than a first preset threshold as the initial membership benefit.
3. The method of claim 2, wherein said determining, by said matching model, a degree of interest for each of said membership benefits based on said target customer characteristic data and said membership benefit characteristic data, resulting in a number of interest values, comprises:
acquiring a similarity value of a current membership benefit and other membership benefits, and determining the membership benefit corresponding to the highest similarity value as a similar membership benefit of the current membership benefit;
determining the interest degree corresponding to the current membership based on the highest similarity value and the interaction matrix of the target client characteristic data and the similar membership, and obtaining the interest value corresponding to the current membership;
acquiring the other member interests and determining similar member interests of the other member interests;
repeating the steps until the interest degree corresponding to each member benefit is determined, and obtaining a plurality of interest values.
4. The method of claim 2, wherein said determining a number of target membership benefits matching said target customer characteristic data based on the cost of each of said initial membership benefits within a range of preset costs comprises:
sorting the initial membership benefits according to the sequence from the big value to the small value, and calculating the cost of the current initial membership benefit, wherein the cost of the current initial membership benefit is the sum of the costs accumulated to the current initial membership benefit according to the sorting;
and when the cost of the current initial member right is smaller than or equal to the preset cost and the cost of the next initial member right is larger than the preset cost, determining the initial member right corresponding to the cost of the current initial member right as the target member right.
5. The method of claim 1, wherein prior to determining a push style based on the target client characteristic data, further comprising:
acquiring the cost of a plurality of target member interests;
judging whether the sum of the costs of the rights and interests of the target member is smaller than or equal to the preset cost;
the determining a push mode based on the target client feature data includes:
and determining the pushing mode based on the target client characteristic data when the sum of the costs of the target member interests is smaller than or equal to the preset cost.
6. The method of claim 1, wherein the pushing means includes a pushing time and a pushing channel, the determining the pushing means based on the target client feature data, and pushing the target gift package according to the pushing means, includes:
analyzing the target client characteristic data through a decision tree algorithm to obtain the pushing time and the pushing channel;
pushing the target gift package through the pushing channel at the pushing time.
7. The method of claim 1, wherein after pushing the target gift package according to the pushing manner, further comprising:
evaluating a push index corresponding to the target gift bag, wherein the push index comprises a click rate;
and when the click rate is larger than a second preset threshold value, determining a corresponding pushing mode based on other client characteristic data, and pushing a corresponding gift bag according to the pushing mode corresponding to the other client characteristic data.
8. The utility model provides a gift bag pusher based on membership benefit which characterized in that, gift bag pusher includes:
the system comprises an acquisition module, a storage module and a storage module, wherein the acquisition module is used for acquiring target client characteristic data and acquiring member right characteristic data, wherein the member right characteristic data comprises a plurality of member rights and costs corresponding to each member right;
the analysis module is used for analyzing the target client characteristic data and the member interest characteristic data through a matching model to obtain a plurality of initial member interests matched with the target client characteristic data;
the determining module is used for determining a plurality of target member interests matched with the target client characteristic data based on the cost of each initial member interest within the range of preset cost, and combining the plurality of target member interests into a target gift bag;
and the gift bag pushing module is used for determining a pushing mode based on the target client characteristic data and pushing the target gift bag according to the pushing mode.
9. A computer device, comprising: a memory and a processor; wherein the memory is connected to the processor, and is used for storing a program, and the processor is used for implementing the steps of the gift bag pushing method based on the membership benefit according to any one of claims 1 to 7 by running the program stored in the memory.
10. A computer readable storage medium storing a computer program which when executed by a processor causes the processor to implement the steps of the membership based gift bag pushing method of any one of claims 1 to 7.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311352062.4A CN117237013A (en) | 2023-10-18 | 2023-10-18 | Gift package pushing method, device, equipment and storage medium based on member rights and interests |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311352062.4A CN117237013A (en) | 2023-10-18 | 2023-10-18 | Gift package pushing method, device, equipment and storage medium based on member rights and interests |
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