JP2023507043A - DATA PROCESSING METHOD, DEVICE, DEVICE, STORAGE MEDIUM AND COMPUTER PROGRAM - Google Patents

Abstract

The present application discloses a data processing method, apparatus, apparatus, storage medium and computer program. The data processing method comprises: obtaining visitor data of a target visitor; determining a visitor rank of the target visitor based on the visitor data; determining push data corresponding to the visitor rank; and pushing the push data to the target visitor in a data push manner corresponding to visitor rank.
[Selection drawing] Fig. 1

Description

The present application relates to data processing methods, devices, equipment, storage media and computer programs.

<Cross reference to related applications>
This application claims priority from a Chinese patent application with application number 201911379987.1 filed with the State Intellectual Property Office of China on December 27, 2019, the entire content of which is incorporated herein by reference.

In practice, salespeople are personalized based on visitor characteristics to increase visitor conversion rates and generate greater profits. To date, data cleansing and follow-up work is generally done manually so that services can be provided to visitors based on the results of data cleansing. However, when data is sorted out manually, mistakes in the data are unavoidable, and the results of sorting are inconsistent depending on the salesperson, which affects the effectiveness of follow-up work. Therefore, a data processing method is desired.

The present application has been made in view of the above circumstances, and provides a data processing method.

In a first aspect of embodiments of the present application, a data processing method is provided. The method includes obtaining visitor data of a target visitor, determining a visitor rank of the target visitor based on the visitor data, determining push data corresponding to the visitor rank, and determining push data corresponding to the visitor rank; and pushing the push data to the target visitor in a data push manner corresponding to rank.

In one possible implementation, the visitor data includes visit data and material data, and the visitor rank is determined based on a first visitor rank determined based on the visit data and/or the material data. Includes 2nd visitor rank.

In one possible implementation, where the visitor data comprises the visit data and the visitor rank comprises the first visitor rank, determining the visitor rank of the target visitor based on the visitor data comprises: determining the number of visits and/or average time per visit of the target visitor within a preset period based on the visit data; and identifying a first visitor rank of the target visitor as a frequent customer in response to the average visit time being greater than a first duration threshold.

In one possible implementation, said visitor data further comprises an identity type, and based on said visitor data, determining the visitor rank of said target visitor comprises: based on said visit data, said target visitor's last visit determining the time interval from time to the current time and/or the average visit time of the target visitor within the preset time period, the time interval exceeding a second threshold; and/or identifying a first visitor rank of the target visitor as a losing customer if the identity type of the target visitor is a first type, in response to the average visit time per visit being less than a second duration threshold; or identifying the first visitor rank of the target visitor as a dormant customer if the identity type of the target visitor is a second type.

In one possible implementation, when the material data includes consumption power data and objects of interest of the target visitor, the visitor data includes the material data, and the visitor rank includes the second visitor rank, the visitor Based on the data, the step of identifying a visitor rank of the target visitor comprises: identifying a sales price of the object of interest based on the object of interest; and corresponding to the target visitor based on the spending power data. identifying a consumption interval; and identifying a second visitor rank of the target visitor in response to whether the sales price belongs to the consumption interval.

In one possible implementation, if the selling price does not belong to the consumption interval, or if the selling price belongs to the consumption interval but the difference from the upper limit of the consumption interval is less than a preset value, Identifying push data corresponding to the visitor rank includes searching for data of other objects belonging to the same type as the object of interest based on the object of interest, and identifying the data of the other object as the push data. including doing

In one possible implementation, the data push schemes corresponding to different said visitor ranks are at least partially different, said data push schemes comprising at least one of push time, time interval between two adjacent pushes, push path. include.

In one possible implementation, the method, after determining the visitor rank of the target visitor, transmits the visitor rank of the target visitor to a terminal, and the terminal stores the visitor rank in association with the target visitor. and/or displaying.

In a second aspect of the embodiments of the present application, a data processing apparatus is provided. The apparatus comprises an acquisition module for acquiring visitor data of a target visitor, an identification module for identifying a visitor rank of the target visitor based on the visitor data, and identifying push data corresponding to the visitor rank. and a processing module for pushing the push data to the target visitor in a data push manner corresponding to the visitor rank.

In one possible implementation, the visitor data includes visit data and material data, and the visitor rank is determined based on a first visitor rank determined based on the visit data and/or the material data. Includes 2nd visitor rank.

In one possible implementation, when the visitor data includes the visit data, and the visitor rank includes the first visitor rank, the identification module determines, based on the visit data, within a preset period of time determining the number of visits and/or average visit duration for the target visitor, and responsive to the number of visits being greater than a first threshold and/or the average visit duration being greater than a first duration threshold; , is used to identify the first visitor rank of the target visitor as a frequent customer.

In one possible implementation, the visitor data further includes an identity type, and the identification module determines, based on the visit data, the time interval from the last visit time to the current time of the target visitor and/or the pre- identifying the target visitor's average per-visit time within a set time period and responding that the time interval exceeds a second threshold and/or the average per-visit time is less than a second duration threshold; and identifying the first visitor rank of the target visitor as a lost customer or identifying the first visitor rank of the target visitor as a dormant customer when the identity type of the target visitor is the first type. used for

In one possible implementation, when the material data includes consumption power data and an object of interest of the target visitor, the visitor data includes the material data, and the visitor rank includes the second visitor rank, the identification The module identifies a sales price of the object of interest based on the object of interest, identifies a consumption interval corresponding to the target visitor based on the consumption power data, and determines whether the sales price belongs to the consumption interval. Responsive to what, it is used to identify the secondary visitor rank of said target visitor.

In one possible implementation, the processing module determines that the sales price does not belong to the consumption interval, or the sales price belongs to the consumption interval but the difference from the upper limit of the consumption interval is less than a preset value. , based on the object of interest, it is also used to retrieve data of other objects belonging to the same type as the object of interest, and to identify the data of the other objects as the push data.

In one possible implementation, the data push schemes corresponding to different said visitor ranks are at least partially different, said data push schemes comprising at least one of push time, time interval between two adjacent pushes, push path. include.

In one possible implementation, the processing module sends the visitor rank of the target visitor to a terminal after the identifying module identifies the visitor rank of the target visitor, and the terminal sends the visitor rank to the target visitor. It is also used for associated storage and/or display.

In a third aspect of an embodiment of the present application, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, the data processing method according to the embodiment of the present application when the processor executes the computer program. A data processing apparatus is provided in which the steps of

In a fourth aspect of the embodiments of the present application, there is provided a storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor performs the steps of the data processing method according to the embodiments of the present application. be.

In the technical solution according to an embodiment of the present application, obtaining visitor data of a target visitor, identifying a visitor rank of the target visitor based on the visitor data, identifying push data corresponding to the visitor rank, and and pushing the push data to the target visitor in a data push manner corresponding to the visitor rank. As a result, it is possible to save at least part of the time and effort required for manually organizing data, and to effectively improve the efficiency of data processing. In addition, identifying the visitor rank of the target visitor based on the visitor data means that the visitor data can be effectively used to set the visitor rank of each target visitor to distinguish or mark different target visitors. play a role. According to the data push method corresponding to the visitor rank, the push data push is to achieve targeted data push according to the target visitors of different visitor ranks, so as to further improve the visitor experience and visitor conversion rate. can be done.

FIG. 1 is a process schematic diagram of a data processing method according to an embodiment of the present application. FIG. 2 is a process schematic diagram of another data processing method according to an embodiment of the present application. FIG. 3A is a schematic diagram of visitor information of the day displayed on the terminal side according to the embodiment of the present application and automatically recognized by the server side. FIG. 3(b) is a schematic diagram of visitor information of a target terminal user displayed on the terminal side according to the embodiment of the present application. FIG. 3(c) is a schematic diagram of a single visitor information displayed on the terminal side according to the embodiment of the present application. FIG. 3D is a schematic diagram of a visitor edit screen displayed on the terminal side according to the embodiment of the present application. FIG. 4 is a schematic diagram of a process of analyzing visitor rank based on visit frequency according to an embodiment of the present application. FIG. 5(a) is a schematic diagram of a terminal receiving a pushed visit message according to an embodiment of the present application. FIG. 5(b) is a schematic diagram of displaying previous visit messages of a target visitor according to an embodiment of the present application. FIG. 5(c) is a schematic diagram of a visitor list automatically recognized by the server side displayed on the terminal side according to the embodiment of the present application. FIG. 5(d) is a schematic diagram of analysis based on visitor data within the target period according to an embodiment of the present application. FIG. 6 is a schematic diagram of a visitor tag edit screen according to an embodiment of the present application. FIG. 7 is a schematic diagram of the configuration of a data processing apparatus according to an embodiment of the present application. FIG. 8 is a schematic diagram of the configuration of another data processing apparatus according to an embodiment of the present application.

For better understanding of the technical solutions of the embodiments of the present application by those skilled in the art, the technical solutions of the embodiments of the present application will be clearly described below with reference to the drawings of the embodiments of the present application. It should be noted that the described embodiments are only a part of the embodiments of the present application, but not all of them.

The terms "first", "second", "third", etc. used in the embodiments, claims and figures of the present application are not necessarily intended to describe any particular order or context. , is used to distinguish similar objects. Also, the terms "including," "having," and derivatives thereof are intended to cover the non-exclusive case of inclusion. For example, a method, system, product, or device that includes a series of steps or units is not necessarily limited to the specified steps or units, and includes steps that are not specified or unique to those processes, methods, products, or devices. Other steps or units may be included.

Embodiments of the present disclosure can be applied to various electronic devices, including but not limited to fixed devices and mobile devices. For example, the stationary device includes, but is not limited to, a personal computer (PC), a server, etc., and the server may be a cloud server or an ordinary server. The mobile devices include, but are not limited to, one or more of mobile phones, tablet computers, wearable devices.

Embodiments of the present application provide a data processing method applied to the electronic device. As shown in FIG. 1, the method mainly includes the following steps.
At step S11, the visitor data of the target visitor is obtained.
In step S12, a visitor rank of the target visitor is identified based on the visitor data.
In step S13, identifying push data corresponding to the visitor rank, and pushing the push data to the target visitor in a data push manner corresponding to the visitor rank.

In an embodiment of the present disclosure, the target visitor is generally a visitor to be served, for example, a customer, a visitor who is likely to become a customer, and the like. A target visitor may be one or more of the visitors for whom the service is intended. In one implementation, the target visitor may be any one of all those who have come to the destination location, excluding the whitelist. It should be understood that the target visitors do not include whitelisted persons.

The whitelist includes at least one of destination location employees, cleaners, repairers, delivery workers, and couriers. It should be noted that the whitelist can be set or adjusted based on the user's needs. In the embodiments of the present disclosure, the destination place may be a place where goods can be displayed or sold, including but not limited to 4S shops (car dealerships), stores, shopping centers, supermarkets, etc.

In an embodiment of the present disclosure, the visitor data may include visit data, and the visit data is obtained by collecting face images and/or body images of target visitors at a destination location with a video camera. For example, the visit data includes the number of visits of the target visitor within a preset period of time. Alternatively, the visit data includes the target visitor's single visit time. Alternatively, the visit data includes the target visitor's average visit time per visit within a preset time period. The preset period of time may include a period of time from a start time to an end time, such as one day, one week, one month, one quarter, half a year, one year, and so on. The preset period can be specified according to actual needs, and the embodiment of the present disclosure does not limit the setting method and value of the preset period. Note that the end time is a time before (or including) the current time.

In an embodiment of the present disclosure, the visitor data may include material data, and the material data includes consumption power data and interests of target visitors. In one application scene of the present disclosure, the consumption power data may be parameters reflecting the economic power of the visitor, such as occupation, monthly income, annual income, place of residence, and so on. The subject of interest reflects the visitor's favorite products, eg, favorite car models.

In an embodiment of the present disclosure, the visitor rank may include at least one of a first visitor rank identified based on visit data and a second visitor rank identified based on material data. In one application scene, for example, the first visitor rank reflects the visitor's visiting status, and the second visitor rank reflects the visitor's purchase intention. Embodiments of the present disclosure may further include visitor rank to reflect other attributes. In the embodiments of the present application, the types included in the visitor rank and sub-items included in each type are not limited.

In one implementation, the first visitor ranks include frequent customers, loss customers, dormant customers, etc., and visit frequencies corresponding to different first visitor ranks are different. said second visitor rank comprises rank S, rank A, rank B, rank C, rank D; or said second visitor rank comprises rank A, rank B, rank C, rank D, rank E; or The second visitor rank includes H rank, A rank, B rank, C rank, and D rank. In one application scenario of the present disclosure, the range of purchase possibilities corresponding to different second visitor ranks is different.

In an embodiment of the present disclosure, the push data is data pushed to the target visitor and corresponding to visitor rank. In one application scene of the present disclosure, the push data includes car-shaped content. For example, in the case of target visitors with high purchase intention, the target visitor's favorite car type content may be directly pushed, and in the case of low purchase intention, the target visitor's favorite car type content may be pushed. and/or car-shaped content with a large difference may be pushed.

In embodiments of the present disclosure, data push schemes corresponding to different visitor ranks are at least partially different. The data push scheme includes at least one of a push time, a time interval between two adjacent pushes, and a push path. For example, the push path includes email, text message, phone number, WeChat account, WeChat Moment function, official account, and so on.

In the technical solution according to an embodiment of the present application, obtaining visitor data of a target visitor, identifying a visitor rank of the target visitor based on the visitor data, identifying push data corresponding to the visitor rank, and and pushing the push data to the target visitor in a data push manner corresponding to the visitor rank. As a result, it is possible to save at least part of the time and effort required for manually organizing data, and to effectively improve the efficiency of data processing. In addition, identifying the visitor rank of the target visitor based on the visitor data means that the visitor data can be effectively used to set the visitor rank of each target visitor to distinguish or mark different target visitors. play a role. According to the data push method corresponding to the visitor rank, the push data push is to achieve targeted data push according to the target visitors of different visitor ranks, so as to further improve the visitor experience and visitor conversion rate. can be done.

To identify a visitor rank of a target visitor based on visitor data, in some implementations, where visitor data includes visit data and visitor rank includes a first visitor rank, based on said visitor data: The step of identifying the visitor rank of the target visitor includes identifying the number of visits and/or average visit time per visit of the target visitor within a preset period based on the visit data; greater than a first threshold and/or responsive to said average visit duration being greater than a first length of time threshold, identifying said target visitor as a first visitor rank as a frequent customer.

Both the first threshold value and the first duration threshold value are preset threshold values. The first threshold and the first duration threshold may be set in advance based on required time, cost, and/or needs, and the setting method is not limited here.

Accordingly, the first visitor rank of the target visitor is specified based on the number of times the target visitor has visited within a preset period or the average time of each visit.

Exemplarily, when the number of visits within a preset period is higher than a first threshold, the first visitor rank of the target visitor is identified as a high-frequency customer, and the average visit time within the preset period is identify the first visitor rank of the target visitor as a frequent customer if it is higher than the first time length threshold, or the number of visits within a preset period is higher than the first threshold and within the preset period; a first visitor rank of the target visitor as a frequent customer if the average visit time of is greater than a first length-of-time threshold;

Target visitors may have different identity types, for example, some target visitors may be determined as general visitors, some target visitors may be determined as important visitors, and visitors corresponding to target visitors with different identity types Considering that ranks may differ, in one possible implementation the visitor data further includes an identity type. Identity types may include a first type (eg, general visitor) and a second type (eg, important visitor). Also, a third type (eg, blacklist, etc.) may be further included.

Correspondingly, the step of determining the visitor rank of the target visitor based on the visitor data comprises: based on visit data, a time interval from the time of the last visit of the target visitor to the current time; determining the target visitor's average visit time within a preset time period; and that the time interval exceeds a second threshold and/or that the average visit time is greater than a second time length threshold. responsive to being low and identifying the first visitor rank of the target visitor of a first type as a losing customer or identifying the first visitor rank of the target visitor of a second type as a dormant customer.

Both the second threshold and the second duration threshold are preset thresholds. The second threshold and the second duration threshold may be set in advance based on required time, cost, and/or needs, and the setting method is not limited here.

In one application scene of the present disclosure, the criteria for distinguishing between the first type and the second type may be whether the target visitor is a member. If the member is a member, the identification type is determined as the second type, and if the member is not the member, the identification type is determined as the first type.

Accordingly, the first visitor rank of the target visitor is specified based on the number of times the target visitor has visited within a preset period or the average time of each visit.

Exemplarily, if the identity type of the target visitor is the first type and the time interval from the last visit time to the current time exceeds the second threshold, the first visitor rank of the target visitor is identified as a lost customer, and the target If the visitor's identity type is the first type and the target visitor's average visit time is less than the second time length threshold, identify the first visitor rank of the target visitor as a lost customer, or The target visitor's first Identify 1 visitor rank as a losing customer.

Exemplarily, if the identity type of the target visitor is the second type and the time interval from the last visit time to the current time exceeds the second threshold, the first visitor rank of the target visitor is identified as a dormant customer, and the target Identify the first visitor rank of the target visitor as a dormant customer if the visitor's identity type is the second type and the target visitor's average visit time per visit is less than the second time length threshold, or If the identity type is the second type, the time interval from the last visit time to the current time exceeds the second threshold, and the average visit time per visit is lower than the second time length threshold, the first visitor rank of the target visitor Identify as dormant customers.

In addition, the frequent customers, the loss customers, the dormant customers, etc. can be set or adjusted based on the user's needs.

To determine a visitor rank of a target visitor based on visitor data, in some implementations the material data includes spending power data and interests of the target visitor. When the visitor data includes material data and the visitor rank includes the second visitor rank, the step of identifying the visitor rank of the target visitor based on the visitor data includes: in response to identifying a sales price of interest, identifying a consumption interval corresponding to the target visitor based on the consumption power data, and determining whether the sales price belongs to the consumption interval; and identifying a second visitor rank of the target visitor.

In one application scene of the present disclosure, the object of interest may include a car model of interest and specify its selling price. In the applicable scene, the second visitor rank is evaluated by analyzing the target visitor's interest car type and consumption power data, and the second visitor rank represents the purchasing power of the target visitor, based on the identified second visitor rank. In addition, allocating more visitor handling and relationship maintenance work to high-value visitors helps increase visitor conversion rates.

A case where the second visitor rank is divided into rank S, rank A, rank B, rank C, and rank D will be described below as an example. The purchase intention of the target visitor corresponding to each of said second visitor ranks is low. That is, the visitor corresponding to the rank S has the highest purchase intention, and the visitor corresponding to the rank D has the lowest purchase intention. In practice, the second visitor ranks may be set as rank S, rank A, rank B, rank C, and rank D in order of increasing purchase intention. In the embodiment of the present application, the correspondence relationship between each item of the second visitor rank (for example, rank S, rank A, rank B, rank C, and rank D) and the corresponding degree of purchase intention is not limited, and the second visitor rank The number of terms included in the visitor rank is also not limited and can be defined and/or adjusted based on user needs.

In one implementation, the second visitor rank of the target visitor is rank D if the consumption interval is [Y1, Y2] and the selling price of the interested car type is greater than Y5. In other words, if the visitor's consumption zone (the visitor's consumption zone generally reflects the visitor's economic power) is much lower than the selling price of the visitor's interest car type, it may be considered that the visitor's purchase intention is extremely low (that is, The visitor does not have the ability or is unlikely to purchase the car model of interest).

When the consumption section is (Y2, Y3) and the selling price of the car of interest is (Y4, Y5), the second visitor rank of the target visitor is rank C. That is, the visitor's consumption section and the visitor's car of interest If there is some difference between the selling prices of the two cars, and the visitor's consumption section is lower than the selling price of the car of interest, it can be considered that the visitor's purchase intention is low.

If the consumption section is (Y3, Y4) and the sales price of the car of interest is (Y3, Y4), the second visitor rank of the target visitor is rank B. That is, the consumption section of the visitor and the sales of the car of interest are A visitor's purchase intention may be considered moderate if the prices belong to the same interval range (that is, the visitor has the ability to purchase the car model of interest, and the selling price of the car model of interest is within the selling price).

If the consumption section is (Y4, Y5) and the selling price of the car of interest is (Y2, Y3), the second visitor rank of the target visitor is rank A. That is, the visitor's consumption section and the visitor's car of interest If there is a certain difference between the sales prices of the , and the visitor's consumption section is higher than the sales price of the car of interest, it may be considered that the visitor's purchase intention is high.

When the consumption section is (Y5, ∞) and the selling price of the car of interest is (Y1, Y2), the second visitor rank of the target visitor is rank S. That is, the consumption section of the visitor is the car of interest of the visitor. A visitor's purchase intention may be considered to be extremely high if it is much higher than the selling price of the model (i.e., the visitor not only has the ability to purchase the model of interest, but also the visitor's can afford to pay the selling price).
Here, 0≦Y1<Y2<Y3<Y4<Y5.

It should be noted that the setting of the second visitor rank and the setting of the consumption section and the sales price described above are examples, and the present application is not limited thereto.

For example, if the consumption zone of the target visitor is 300,000 to 500,000, and the selling price of the car of interest is 1 million, the purchase intention of the visitor represented by the second visitor rank may be extremely low, such as rank D. and If the sales price of the car of interest is 600,000, the purchase intention of the visitor represented by the second visitor rank may be low, for example, rank C. If the selling price of the car of interest is 500,000 or less, the visitor's purchase intention represented by the second visitor rank may be considered to be high. Therefore, for example, the rank is set to B. If the sales price of the car of interest is 400,000 or less, it is completely within the consumption zone, so the visitor's purchase intention represented by the second visitor rank may be high. If the selling price of the car of interest is 300,000 or less, it is completely within the consumption zone or lower than the assumed lowest price, so the visitor's purchase intention represented by the second visitor rank may be extremely high. Rank S.

Here, the purchase probability of the target visitor represented by rank D is P1 or lower.
The target visitor's purchase probability, represented by rank C, is greater than P1 and less than or equal to P2.
The target visitor's purchase probability, represented by rank B, is greater than P2 and less than or equal to P3.
A target visitor with rank A has a purchase probability greater than P3 and less than or equal to P4.
The target visitor's purchase probability, represented by rank S, is greater than P4. However, 0≦P1<P2<P3<P4<P5.

As can be seen, the higher the rank, the more likely the target visitor will purchase in the near future. The lower the rank, the less likely the target visitor will purchase even in the distant future.

In the application scene, identifying a second visitor rank of the target visitor in response to whether the sales price belongs to the consumption zone, if the sales price does not belong to the consumption zone, the visitor specifies that it is difficult to purchase the desired vehicle type, specifies the second visitor rank of the target visitor as having no purchase intention or the lowest purchase intention, and if the sales price belongs to the consumption zone, , specifying that the target visitor has a purchase intention, and setting the second visitor rank of the target visitor to a level that does not belong to the consumption section if the price is higher than the selling price, for example, a level corresponding to the purchase intention; Or, when there is a purchase intention, it includes specifying as a level to be further set according to the height of the purchase intention.

Here, the phrase "the selling price does not belong to the consumption zone" may be understood to mean that the selling price is not within the consumption zone. The sales price not within the consumption interval includes both the sales price above the upper limit of the consumption interval and the sales price below the lower limit of the consumption interval. For example, when the consumption zone is 300,000 to 500,000, if the sales price of the target visitor's interested car type is 600,000, the sales price is not within the consumption zone. If the selling price of the target visitor's car of interest is 200,000, the selling price is also not within the consumption zone. In fact, the selling price does not belong to the consumption zone can be understood only if the selling price is above the upper limit of the consumption zone, or if the selling price is above the upper limit of the consumption zone and the selling price is below the lower limit of the consumption zone. It can be understood as follows.

In the application scene, when the selling price belongs to the consumption zone, the difference value between the selling price and the upper limit of the consumption zone affects the second visitor rank. The higher the difference value, the higher the probability that the target visitor will purchase, and the second visitor rank means that the target visitor is very likely to purchase the car of that type.

In some embodiments, determining a second visitor rank of the target visitor based on material data such as interest and spending data, and based on the visitor data, where the second visitor rank includes multiple levels In the step of identifying the visitor rank of the target visitor, the section to which the disposable income reflected by the consumption power data belongs is the first disposable section, and/or the expected disposable income reflected by the target of interest is The method may further include identifying a second visitor rank of the target visitor as one of the plurality of levels in response that the section to which it belongs is the first scheduled disposal section. Also, the method includes setting disposable income reflected by consumption power data to a plurality of disposable intervals before identifying a second visitor rank of the target visitor as one of the plurality of levels, and/or further including setting the scheduled disposal income reflected by the object of interest to a plurality of scheduled disposal intervals. Accordingly, the second visitor rank of the target visitor is specified by comparing the disposable section and the planned disposal section. By setting the secondary visitor rank to multiple levels, the specified secondary visitor rank becomes more accurate.

To conserve computing resources, in one implementation, the target visitor's second visitor rank is determined only if the target visitor's first visitor rank is a frequent customer. That is, if the first visitor rank of the target visitor is a lost customer or a dormant customer, the second visitor rank of the target visitor is not specified.

In one possible implementation, if the selling price does not belong to the consumption interval, or if the selling price belongs to the consumption interval but the difference from the upper limit of the consumption interval is less than a preset value, The step of identifying push data corresponding to the visitor rank includes searching for data of other objects belonging to the same type as the object of interest based on the object of interest; and identifying data of other objects as push data. and the step of

In one application scene, when the sales price does not belong to the consumption zone, the data of other car models of the same type as the interested car model may be retrieved and identified as the push data. This will help target visitors to choose a model that matches their economic strength and increase the visitor conversion rate.

In another application scene, when the sales price belongs to the consumption zone but is close to the upper limit of the consumption zone, the data of other car models of the same type as the car model of interest may be retrieved and identified as push data.

As a result, it is useful to push the vehicle type suitable for the visitor's purchase intention to the visitor's terminal, and to provide the visitor with multiple types of the same type of vehicle, which helps to increase the visitor's conversion rate.

In some embodiments, after identifying the visitor rank of the target visitor, the method transmits the visitor rank of the target visitor to a terminal, wherein the terminal associates and stores the visitor rank with the target visitor. and/or displaying. The terminals include, but are not limited to, personal computers, mobile phones, tablet computers, wearable devices, and the like. Displaying the visitor rank in association with the target visitor may include displaying the visitor rank in association with the target visitor in the form of tags. And displaying the visitor rank in association with the target visitor may include displaying the visitor rank in association with the target visitor in a visitor list and/or a visitor page.

In some embodiments, the method sends a terminal some visitor data of the target visitor, e.g., identity type, visit data, etc., and the terminal associates the some visitor data with the target visitor. and storing and/or displaying. Similarly, the partial visitor data may be displayed in the visitor list and/or visitor page in the form of tags in association with the target visitor.

In one application scene, the terminal displays the visitor rank of the visitor, so that the salesperson in charge of follow-up of the visitor in the store can effectively manage the data. For example, terminal users such as salespeople can intuitively grasp the visit status and/or purchase intentions of target visitors, enabling stores to identify high-value visitors, and terminal users such as salespeople. is also useful for individualizing responses based on identified visitor ranks, and furthermore, allocating more visitor-handling and visitor-relationship work to high-value visitors can improve visitor conversion rates. help raise it.

In some embodiments, if the visitor data includes visit data, step S11 includes obtaining visit history information of the target visitor, and determining visit data of the target visitor based on the visit history information. identifying.

Here, the visit history information includes at least visit time.

The visit history information may be all visit information up to the current visit of the target visitor. Of course, the visit history information may be visit information within a certain period from the current visit, which can be set or adjusted based on design or needs.

In one application scene, the visit history information may further include at least one of visited place information or visited stores, payment purchase information, stay time, consultation time, purchase intention, and the like. The length of stay is the period from when the target visitor enters the store to when he/she leaves the store, which is collected by the video camera.

Note that the degree of detail of visit history information is not limited in the present application. The more detailed the visit history information, the more useful it will be in discovering the target visitor later.

Accordingly, analyzing the visit history information to identify the visit data of the target visitor, and identifying the first visitor rank of the target visitor based on the visit data is the individualized data based on the identified first visitor rank. processing, and more visitor-facing and relationship-maintaining work can be selectively allocated to high-value visitors, helping to increase visitor conversion rates.

In some embodiments, when the visitor data includes material data, step S11 includes collecting spending power data and interests of the target visitor; Including identifying visitor material data.

In one application scenario, when the visitor is visiting, the visitor may be presented with a questionnaire. The questionnaire includes a plurality of items such as desired purchase product, ideal price, age, educational background, job title, place of work, etc. Each item may correspond to a plurality of options, and the visitor may select the plurality of options. Select by checking from

This makes it possible to identify the visitor's material data based on the questionnaire data, and further analyzes based on the material data to help obtain valuable visitors.

In another application scene, after a target visitor visits, the terminal user may provide evaluation data based on the target visitor's visit record. The evaluation data includes at least one of purchasing power data and purchase intent data.

The terminal user may be understood as a person who can provide evaluation data based on the visit record of the target visitor, such as a salesperson.

Illustratively, in the process of dealing with the target visitor, the salesperson judges the target visitor's purchasing power and willingness to purchase based on their own experience, and based on the existing evaluation criteria, for one or more evaluation items, on the terminal Score or rank the target visitor. For example, the evaluation items include a purchasing power evaluation item and a purchase willingness evaluation item, the evaluation data includes a score or ranking result, and a server or other device identifies the purchase likelihood of the target visitor based on the evaluation data. do. Evaluation criteria corresponding to different evaluation items may be the same or different.

As a result, in the process of dealing with the target visitor, the salesperson judges the target visitor's purchasing power and willingness to purchase based on their own experience, inputs the target visitor's evaluation data as document data into the terminal, and The device can determine the visitor rank of the target visitor based on the evaluation data. Not only is it easy to operate and convenient for the sales person, but the server or other device is also convenient for providing evaluation information of different target visitors based on the same criteria.

In an embodiment of the present application, a data processing method applied to a terminal is also provided from the data processing method. As shown in FIG. 2, the method includes the following steps.

In step S21, the visitor rank information of the target visitor is received.

In step S22, the visitor rank information of the target visitor is displayed. The terminal stores and/or displays the visitor rank in association with the target visitor. Specifically, the visitor rank information may be displayed in the visitor list and/or visitor page in the form of tags in association with the target visitor.

This enables the terminal user to quickly recognize whether the target visitor is a new visitor based on the visitor rank information. It can also realize prompt assignment of processing tasks based on the visitor rank of the target visitor, helping salespeople to perform targeted work and services to improve work efficiency, and individually based on the identified visitor rank. Additionally, allocating more visitor handling and relationship maintenance work to high-value visitors helps increase visitor conversion rates.

In some embodiments, the method further includes receiving analysis results of visitor rank information corresponding to the target visitor, and displaying the analysis results.

This enables the terminal user to quickly know the analysis results about the visitor rank information of the target visitor, and allows the user to perform targeted processing based on the analysis results to improve the visitor experience and visitor conversion rate. help to improve

Illustratively, a salesperson may link two types of tags, first visitor rank and second visitor rank, to take different marketing strategies for visitors. For example, if the second visitor rank is a high rank and the first visitor rank is a losing customer, the tags require the salesperson to use richer and more effective follow-up and marketing strategies to retain the visitor. .

As an example, when the second visitor rank is a low rank and the first visitor rank is a high-frequency customer, the tag allows the salesperson to re-evaluate the visitor's purchase intention and retain important visitors, You may consider whether you are wrong in the way you determine high-value visitors in visitor follow-up.

In some embodiments, the method further comprises receiving some visitor data, such as identity type, visitation data, etc., and storing and/or displaying it in association with the target visitor. Specifically, the partial visitor data may be displayed in the form of tags in the visitor list and/or the visitor page in association with the target visitor.

3(a)-3(d) show the display of visitor information on the terminal side for a particular application scene. FIG. 3(a) shows a schematic diagram of visitor information of the day displayed on the terminal side and automatically recognized by the server side. As can be seen from Fig. 3(a), the screen displays the information of all visitors on the day, specifically whether each visitor is a first-time visitor, number of visits, visit time, and follow-up In order to provide detailed data to the terminal user, the terminal user can learn the visitor's information based on the data displayed on the screen, and identify whether to follow up the visitor. becomes possible. FIG. 3(b) shows a schematic diagram of the visitor information of the target terminal user displayed on the terminal side. As shown in FIG. 3(b), the screen displays the visitor information of the terminal user, specifically including whether or not each visitor is visiting for the first time, the number of visits, and the visit time. FIG. 3(c) shows a schematic diagram of a single visitor information displayed on the terminal side, which specifically includes information such as the total number of visits, the time of the most recent visit, and the accompanying persons for each visit. FIG. 3(d) shows a schematic diagram of a visitor edit screen displayed on the terminal side. As shown in FIG. 3(d), the prospective customer rank item is displayed on the screen, and the prospective customer rank is the second visitor rank. The user can edit the prospective rank of the visitor, i.e. the user can select a specific level from the second visitor rank, for example, whether to change the level evaluated last time from the way he talks with the visitor this time. Identify. This makes it possible for the terminal user to know the information of the visitor who visits the store, and to respond individually based on the visitor rank information of the visitor who visits the store, and the terminal user ranks the visitor based on the experience. Also convenient.

FIG. 4 shows a schematic diagram of the process of analyzing visitor rank based on visit frequency for a particular application scene. As shown in FIG. 4, a video camera collects facial images and/or human body images from the environment and the original collected images are introduced into subsequent processing procedures on the server side by a unified access service. On the server side, image processing and forwarding services perform feature extraction and indexing of facial images and/or human body images. The acquired data is introduced into Kafka message queues by data scaling services. Invokes lookup services to detain and deduplicate data in Kafka message queues. By searching for facial and/or body feature data that has undergone decontamination and deduplication processing, and searching existing databases for the visitor's data, we can determine whether the visitor collected this time is a new visitor. to decide. If the visitor is determined to be a new visitor, a tag of the first type, for example, a customer, is attached. If the visitor is determined to be an existing visitor, the second type matching is performed again in the database. For example, whether or not the visitor is a member is recognized, and the first visitor rank is determined. For example, as an example, mark customers who have appeared 3 or more times within the last 15 days as high-frequency customers, mark members who have been more than 30 days since the last visit time as dormant members, A customer over 30 days is considered a lost customer. Specifically, if the visitor is determined to be a member, the time of the previous visit is examined, and it is determined whether or not it has been more than 30 days since the time of the previous visit. Mark as dormant member, otherwise do not mark. If the visitor is a non-member, that is, a customer, check the number of visits within 15 days of the customer, increase the number of visits by 1, and then determine whether the number of visits within 15 days is 3 or more. do. If 3 or more, mark the customer as a frequent customer. If the number of visits within 15 days is less than 3, look at the time of the previous visit to determine if the time of the previous visit is greater than 30 days. If you identify more than 30 days, mark it as a losing customer.

It is understood that the process of FIG. 4 can be configured or adjusted according to user needs or design requirements.

FIG. 5(a)-FIG. 5(d) show schematic diagrams of pushing, displaying, classifying and analyzing visiting messages according to a particular application scene. FIG. 5(a) shows a schematic diagram of a terminal receiving a pushed visit message. A terminal user, for example, a salesperson, receives the visitor visit message pushed in real time, and can check the visitor's identity type and visitor rank, and immediately respond to the visitor with high quality. In addition, when a terminal user, for example, a security guard, receives a blacklist warning message pushed in real time, it is helpful to immediately identify the blacklisted person and its location, thereby effectively avoiding risks. FIG. 5(b) shows a schematic diagram of displaying the target visitor's previous visit messages. By displaying the visit history record of the target visitor on the terminal side, it is convenient for the terminal user to sort and track the important information during each visit, and also to check the visit status of each visit. By summarizing, it will be easier to judge the visitor's willingness to buy and the high value. This will allow terminal users to better understand visitor information and help increase the conversion rate of visitors. FIG. 5(c) shows a schematic diagram of a visitor list displayed on the terminal side and automatically recognized by the server side. The server side supports visitor classification based on supportable tags, and administrators and salespeople can be terminal users to conduct targeted customer marketing and customer operations for visitors with target tags. FIG. 5(d) shows a schematic diagram of analysis based on visitor data within the target period. From the schematic diagram, it is possible to understand the visitor group analysis data and customer flow trend data, for example, a comparison diagram of total customer flow and member visit volume, and a comparison diagram of new and existing visitors. By linking with deal closing data, managers can analyze current operations and operations and clarify problems, and based on this, they can improve the next stage of operations and design marketing events. .

FIG. 6 shows a schematic diagram of a visitor tag editing screen for a specific application scene, which the terminal user can edit. As shown in FIG. 6, the screen may be used by the terminal user to manage visitors. For example, if the visitor's identity type is a member, the screen displays items such as each member's profile picture, member ID, name, tag, operation, etc., and the user clicks the edit button corresponding to the item to operate. By doing so, the editing operation can be performed for each member. For example, select from a selectable tag library tags deemed appropriate for the member, or customize tags for the target member. By operating the delete button corresponding to the item, it is also possible to delete members who have withdrawn from membership or who are considered to be of low value.

In this application scene, as an example, when an operation to search for a specified visitor entered by the user is received, the terminal displays a simple introduction screen of the specified visitor, and the screen shows the specified visitor. tags are displayed. When receiving the user's input operation to display the detailed page of the visitor, the terminal displays the detailed introduction screen of the designated visitor including the visit history record of the designated visitor. When receiving an operation to edit the visitor's customized tag entered by the user, the terminal receives and displays the specified visitor's customized tag edited by the user.

In the applicable scene, tag information of a plurality of visitors is displayed on the terminal screen as an example. When the user receives a left or right swipe action on a visitor in the screen, the visitor's tag becomes editable. When receiving the editing information input by the user, the terminal performs the editing operation of the tag of the visitor according to the editing information input by the user.

In this application scene, for example, the terminal updates the visitor list displayed on the target screen when receiving a user input operation for scrolling up the scroll bar of the screen. When the user finds the visitor of the specified store on the specified date on the target screen, the visitor's detailed page is displayed by a click operation. Upon receiving an operation input by the user to convert the visitor from a customer to a member, the identity type of the visitor is changed from a customer to a member according to the operation.

It should be understood that the above processes are exemplary and in fact users can provide individualized setting operations to achieve different such functions.

In an embodiment of the present disclosure, a video camera collects images, transmits the collected images to a server, the server recognizes the images, and obtains the facial and/or body features of the target visitor contained in the images. Obtain visitor data, such as identity type, visit data, material data, of the target visitor in the image based on facial and/or body features. The material data may include evaluation information, and the visit data may include visit history information. Identify visitor rank information of the visitor based on the identity type, visit data and material data. It is also convenient for the server to transmit the target visitor's tag information to the user terminal where the APP is installed and display it on the user terminal, so that individualized processing can be performed based on the target visitor tag specified by the terminal user. In addition, more visitor-facing and relationship-maintaining work can be assigned to high-value visitors, helping to increase visitor conversion rates.

Embodiments of the present application further provide a data processing device, said device comprising an acquisition module 10, an identification module 20 and a processing module 30, as shown in FIG. The obtaining module 10 is used to obtain visitor data of a target visitor, the identifying module 20 is used to identify the visitor rank of the target visitor based on the visitor data, and the processing module 30 is used to identify push data corresponding to the visitor rank and push the push data to the target visitor in a data push manner corresponding to the visitor rank.

In some embodiments, the visitor data includes visit data and material data. The visitor rank includes a first visitor rank identified based on the visit data and/or a second visitor rank identified based on the material data. In one application scene, the first visitor rank reflects the visitor's visiting status, and the second visitor rank reflects the visitor's purchase intention.

In some embodiments, when the visitor data includes visit data, and the visitor rank includes the first visitor rank, the identification module 20 determines, based on the visit data, within a preset period of time determining the number of visits and/or average visit duration for the target visitor, and responsive to the number of visits being greater than a first threshold and/or the average visit duration being greater than a first duration threshold; , is used to identify the first visitor rank of the target visitor as a frequent customer.

In some embodiments, the visitor data further includes an identity type, and the identification module 20 determines, based on the visit data, the time interval from the time of the last visit of the target visitor to the current time, and/or the identifying the target visitor's average visit time within a preset time period, wherein the time interval exceeds a second threshold and/or the average visit time is less than a second duration threshold; in response, identifying the first visitor rank of the target visitor as a lost customer if the identity type of the target visitor is the first type, or if the identity type of the target visitor is the second type; Secondly, it is used to identify the first visitor rank of said target visitor as a dormant customer.

In some embodiments, when the material data includes consumption power data and objects of interest of the target visitor, the visitor data includes material data, and the visitor rank includes the second visitor rank, the identification module 20 identifies a sales price of the object of interest based on the object of interest; identifies a consumption interval corresponding to the target visitor based on the consumption power data; and determines whether the sales price belongs to the consumption interval; Responsive to what, it is used to identify the secondary visitor rank of said target visitor.

In some embodiments, the processing module 30 determines that the selling price does not belong to the consumption interval, or that the selling price belongs to the consumption interval but the difference from the upper limit of the consumption interval is a preset value. If less than, it is also used to retrieve data of other objects belonging to the same type as the object of interest based on the object of interest, and to identify the data of other objects as the push data.

In some embodiments, the data push schemes corresponding to different said visitor ranks are at least partially different, wherein said data push schemes include at least one of a push time, a time interval between two adjacent pushes, and a push path. include.

In some embodiments, the processing module 30 sends the visitor rank of the target visitor to a terminal after the identification module 20 identifies the visitor rank of the target visitor, and the terminal sends the visitor rank to the target visitor. It is also used for storage and/or display in association with the visitor. The visitor rank may be displayed in association with the target visitor in a visitor list and/or visitor page in the form of tags.

In some embodiments, the processing module 30 sends some visitor data of the target visitor, such as identity type, visit data, etc., to a terminal, and the terminal sends the some visitor data to the target visitor. It is also used for associated storage and/or display. Similarly, the partial visitor data may be displayed in the visitor list and/or visitor page in the form of tags in association with the target visitor.

It should be understood by those skilled in the art that, in some optional embodiments, the functions implemented by each processing module of the data processing apparatus shown in FIG. 7 can be understood by referring to the related description of the data processing method. Should.

It should be noted that in some alternative embodiments, the functions of each processing unit of the data processing apparatus shown in FIG. 7 may be implemented by a program running on a processor, or may be implemented by specific logic circuits. That should be understood by those skilled in the art.

In fact, the acquisition module 10, the identification module 20 and the processing module 30 may all correspond to processors in their concrete structure. Examples of the structure of the processor are Central Processing Unit (CPU), Micro Controller Unit (MCU), Digital Signal Processing (DSP) or Programmable Logic Controller (PLC). It may be an electronic component or collection of electronic components having processing capabilities such as. The processor includes executable code, the executable code is stored in a storage medium, the processor can be connected to the storage medium via a communication interface such as a bus, and performs functions corresponding to each specific unit. When executed, it reads the executable code from the storage medium and executes it. The portion of said storage medium for storing said executable code is preferably a non-transitory storage medium.

The data processing device according to the embodiments of the present application can effectively use the visitor data to set the visitor rank of each target visitor, which serves to distinguish or mark different target visitors. According to the data push method corresponding to the visitor rank, the push data push is to achieve targeted data push according to the target visitors of different visitor ranks, so as to further improve the visitor experience and visitor conversion rate. can be done.

An embodiment of the present application further provides a data processing device applied to a terminal, as shown in FIG. 8, the device comprises:
a communication module 40 for receiving visitor rank information of the target visitor;
a display processing module 50 for displaying visitor rank information of said target visitor. Here, the visitor rank includes a first visitor rank and/or a second visitor rank.

In one possible implementation, the display processing module 50 is used to store and/or display the visitor rank information in association with the target visitor. The visitor rank information may be displayed in the visitor list and/or visitor page in the form of tags in association with the target visitor.

In one possible implementation, the display processing module 50 is also used to store and/or display some visitor data in association with the target visitor. Similarly, the partial visitor data may be displayed in the visitor list and/or visitor page in the form of tags in association with the target visitor.

It should be understood by those skilled in the art that, in some optional embodiments, the functions implemented by each processing module of the data processing apparatus shown in FIG. 8 can be understood by referring to the related description of the data processing method. Should.

It should be noted that in some alternative embodiments, the functions of each processing unit of the data processing apparatus shown in FIG. 8 may be implemented by a program running on a processor, or may be implemented by specific logic circuits. That should be understood by those skilled in the art.

In fact, both the communication module 40 and the display processing module 50 may correspond to the processor in their specific structure. An example of the structure of the processor may be an electronic component or collection of electronic components having processing capabilities such as a CPU, MCU, DSP or PLC. The processor includes executable code, the executable code is stored in a storage medium, the processor can be connected to the storage medium via a communication interface such as a bus, and performs functions corresponding to each specific unit. When executed, it reads the executable code from the storage medium and executes it. The portion of said storage medium for storing said executable code is preferably a non-transitory storage medium.

In the data processing device described in the embodiments of the present application, the terminal user can quickly know the visitor rank of the target target visitor, can perform individualized processing based on the specified visitor rank tag, and furthermore , more visitor-handling and visitor-relationship work can be allocated to high-value visitors, helping to increase visitor conversion rates.

Embodiments of the present application include a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the steps of the data processing method described in the embodiments of the present application are realized. provide data processing equipment that

Embodiments of the present application provide a storage medium on which a computer program is stored and on which, when said computer program is executed by a processor, said processor performs the steps of the data processing method described in the embodiments of this application.

It should be understood by those skilled in the art that the functions of each program in the computer storage medium of the present embodiment can be understood by referring to the description related to the data processing method described in each of the embodiments.

It should be noted that each of the selectable embodiments described in the present specification is merely an example, and is intended to help those skilled in the art to further understand the technical solutions of the embodiments of the present application. not be understood as a limitation to Those skilled in the art can make various modifications or substitutions to each of the alternative embodiments described herein, which are also considered part of the embodiments of the present application.

In addition, each embodiment of the technical solution in this specification will be mainly described with respect to its differences, and the same or similar parts can be referred to each other, and redundant parts will be omitted for the sake of simplification.

It should be noted that the devices and methods disclosed in some embodiments of the present application can be implemented in other forms. For example, the device embodiments described above are merely exemplary, and the above unit settings are merely logical functional divisions, and can be implemented in other configuration forms. For example, multiple units or components may be combined, integrated into another system, or some features may be omitted and not implemented. Also, any coupling, direct coupling or communicative connection between elements described or illustrated above may be an indirect coupling or communicative connection through some interface, device or unit. may be in electrical form, mechanical form, or other form.

Each of the units described as separate parts may or may not be physically separated. Each part displayed as a unit may or may not be a physical unit. It may be co-located or distributed over multiple network units. Depending on the actual situation, some units can be selected or all units can be used to achieve the purpose of the technical solutions of the embodiments.

Also, each functional unit according to each embodiment of the present application may be integrated into one processing unit, or each unit may be a separate unit, or two or more units may be integrated into one unit. The integrated unit may be implemented in the form of hardware, or may be implemented in the form of a functional unit combining hardware and software.

As can be appreciated by those skilled in the art, all or part of the steps implementing the above method embodiments may be completed by hardware in conjunction with program commands. The program may be stored on a computer-readable storage medium. When the program is run, the steps of the method embodiments are performed. The storage medium includes various media capable of storing program code, such as mobile storage devices, Read-Only Memory (ROM), Random Access Memory (RAM), magnetic disks, optical disks, and the like.

Alternatively, if the integrated unit described herein is implemented in the form of a functional unit by software and sold or used as a stand-alone product, it may be stored on a computer readable storage medium. Based on this understanding, the gist of the technical solutions according to the embodiments of the present application, in other words, the parts that contribute to the prior art may be provided in the form of software products. The computer software product includes a number of commands for computer equipment (which may be personal computers, servers, network equipment, etc.) to perform all or part of the methods described in the embodiments herein. Stored in a storage medium. The storage media include various media capable of storing program code, such as mobile storage devices, ROMs, RAMs, magnetic disks, optical disks, and the like.

Claims (19)

obtaining visitor data for the target visitor;
determining a visitor rank of the target visitor based on the visitor data;
identifying push data corresponding to the visitor rank;
and pushing the push data to the target visitor in a data push manner corresponding to the visitor rank. The visitor data includes visit data and material data, and the visitor rank includes a first visitor rank identified based on the visit data and/or a second visitor rank identified based on the material data. 2. The method of claim 1, characterized by: determining the visitor rank of the target visitor based on the visitor data, where the visitor data includes the visit data and the visitor rank includes the first visitor rank;
determining the number of visits and/or average time per visit of the target visitor within a preset period based on the visit data;
identifying a first visitor rank of the target visitor as a frequent customer in response to the number of visits being greater than a first threshold and/or the average visit time per visit being greater than a first duration threshold; 3. The method of claim 2, comprising: The visitor data further includes an identity type, and based on the visitor data, determining a visitor rank of the target visitor comprises:
identifying a time interval from the time of the last visit of the target visitor to the current time and/or an average time of one visit of the target visitor within the preset time period, based on the visit data;
in response to the time interval exceeding a second threshold and/or the average single visit duration being less than a second duration threshold;
identifying a first visitor rank of the target visitor as a losing customer if the identity type of the target visitor is the first type; or
4. The method of claim 3, comprising identifying a first visitor rank of the target visitor as a dormant customer if the identity type of the target visitor is a second type. When the material data includes consumption power data and an object of interest of the target visitor, and when the visitor data includes the material data and the visitor rank includes the second visitor rank, the target The step of identifying the visitor's visitor rank includes:
determining a sales price for the object of interest based on the object of interest;
identifying a consumption section corresponding to the target visitor based on the consumption power data;
3. The method of claim 2, comprising determining a second visitor rank of the target visitor responsive to whether the sale price belongs to the consumption tier. Push corresponding to the visitor rank when the sales price does not belong to the consumption zone, or when the sales price belongs to the consumption zone but the difference from the upper limit of the consumption zone is less than a preset value The step of identifying the data includes:
retrieving data of other objects belonging to the same type as the object of interest based on the object of interest;
6. The method of claim 5, comprising identifying the other data of interest as the push data. 4. The data push schemes corresponding to different said visitor ranks are at least partially different, said data push schemes comprising at least one of a push time, a time interval between two adjacent pushes, and a push path. Item 7. The method according to any one of Items 1 to 6. After identifying the visitor rank of the target visitor,
8. The step of transmitting the visitor rank of the target visitor to a terminal, wherein the terminal stores and/or displays the visitor rank in association with the target visitor, according to any one of claims 1 to 7. The method described in . a retrieving module for retrieving visitor data for a target visitor;
an identification module for identifying a visitor rank of the target visitor based on the visitor data;
a processing module for identifying push data corresponding to said visitor rank and for pushing said push data to said target visitor in a data pushing manner corresponding to said visitor rank. The visitor data includes visit data and material data, and the visitor rank includes a first visitor rank identified based on the visit data and/or a second visitor rank identified based on the material data. 10. Apparatus according to claim 9, characterized in that: When the visitor data includes the visit data and the visitor rank includes the first visitor rank, the identifying module includes:
based on the visit data, identify the number of visits and/or average visit time of the target visitor within a preset period;
to identify a first visitor rank of the target visitor as a frequent customer, in response to the number of visits being greater than a first threshold and/or the average time per visit being greater than a first duration threshold; 11. A device according to claim 10, characterized in that it is used. The visitor data further includes an identity type, and the identification module comprises:
based on the visit data, identify the time interval from the last visit time of the target visitor to the current time and/or the average time of one visit of the target visitor within the preset period;
in response to the time interval exceeding a second threshold and/or the average single visit duration being less than a second duration threshold;
identifying a first visitor rank of the target visitor as a losing customer if the identity type of the target visitor is the first type; or
12. The apparatus of claim 11, wherein the apparatus is used to identify the first visitor rank of the target visitor as a dormant customer when the identity type of the target visitor is a second type. When the material data includes consumption power data and an object of interest of the target visitor, the visitor data includes the material data, and the visitor rank includes the second visitor rank, the identifying module includes:
determining a sales price for the object of interest based on the object of interest;
identifying a consumption section corresponding to the target visitor based on the consumption power data;
11. The apparatus of claim 10, responsive to whether the sale price belongs to the consumption zone and is used to identify a second visitor rank of the target visitor. The processing module is
If the selling price does not belong to the consumption interval, or if the selling price belongs to the consumption interval but the difference from the upper limit value of the consumption interval is less than a preset value, based on the object of interest, 14. Apparatus according to claim 13, characterized in that it is also used to retrieve data of other objects belonging to the same type as the object of interest and to identify the data of other objects as the push data. 4. The data push schemes corresponding to different said visitor ranks are at least partially different, said data push schemes comprising at least one of a push time, a time interval between two adjacent pushes, and a push path. 15. Apparatus according to any one of clauses 9-14. The processing module is
After the identification module identifies the visitor rank of the target visitor, it also sends the visitor rank of the target visitor to a terminal for the terminal to store and/or display the visitor rank in association with the target visitor. 16. Apparatus according to any one of claims 9 to 15, characterized in that A data processing method according to any one of claims 1 to 8, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, when the processor executes the computer program. A data processing device characterized by: A storage medium, characterized in that a computer program is stored thereon and, when said computer program is executed by a processor, said processor executes the data processing method according to any one of claims 1 to 8. A computer comprising computer-executable code, said computer-executable code being executed in an apparatus causing a processor of said apparatus to perform a data processing method according to any one of claims 1 to 8. program.

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