Self-adaptive processing method and device for marketing late registration monitoring data
By judging the creation time of conversion targets in marketing monitoring, identifying late registration targets and adapting to supplement missing data, the problems of high human operation and maintenance costs and heavy running pressure in traditional methods are solved, and automatic number supplementation and data rollback are achieved, improving Efficiency and user experience.
Patent Information
- Application Number
- CN202411152732.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-21
- Publication Date
- 2024-12-10
AI Technical Summary
The traditional way of post-subscription configuration in marketing monitoring will lead to increased labor operation and maintenance costs or heavy-duty supplementary pressure, affecting efficiency and performance.
By judging whether it is a late registration target based on the creation time of the conversion target, determining the target customer group to be monitored that needs to be added, and calculating the conversion effect data of the business target based on the late registration target, automatic complement and data rollback are achieved, and manual intervention and The system runs again.
It realizes automatic complementation of massive conversion effect data, reduces operation and maintenance labor costs, improves user experience, and supports flexible adjustment of business conversion goals.
Smart Images
Figure CN119107109A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of marketing back-checking, and in particular to a method and device for adaptively processing marketing late registration monitoring data. Background Art
[0002] With the continuous innovation and development of banking business, seizing marketing opportunities to obtain high-quality customers has become the focus of competition among major banks and financial institutions, and the investment of human and material resources in the marketing field has gradually increased. The specific returns of these investments need to be reviewed and monitored in a timely manner in order to measure the marketing effect and quickly adjust subsequent marketing strategies. Marketing activities are generally divided into three stages: planning, execution, and review. Planners identify target customer groups based on marketing scenarios. After reaching customers through multiple channels at a specific time, they track customers' business behaviors within a certain period of time to determine whether the business conversion goals have been achieved.
[0003] At present, there are some problems in marketing back-check monitoring: 1. Planners did not configure conversion targets in the planning stage, and wanted to add conversion targets after the activity had been running for a period of time, and recover the previous conversion effect data; 2. Planners configured conversion targets in the planning stage, and after the activity had been running for a period of time, they found that it could not meet the actual business development situation in the future, and wanted to add conversion targets and recover the previous conversion effect data. The solution to the above two situations is either to supplement the data through manual running or to initiate a rerun from the system level. The former requires a large amount of operation and maintenance capabilities, and the latter often causes performance pressure on the daily routine batch data processing because the data source is not ready afterwards or the rerun competes with the current batch for resources. It can be seen that the use of traditional methods to perform subsequent supplementary configurations for marketing monitoring targets will increase the cost of human operation and maintenance or cause pressure to rerun and make up the data.
[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention
[0005] The main purpose of this application is to provide a method and device for adaptively processing marketing late registration monitoring data, aiming to solve the technical problem that the traditional method of performing late supplementary configuration for marketing monitoring targets will cause increased manpower operation and maintenance costs or pressure to re-run to make up the numbers.
[0006] To achieve the above purpose, the present application proposes an adaptive processing method for marketing late registration monitoring data, the adaptive processing method for marketing late registration monitoring data comprising:
[0007] Determine the creation time of the conversion target according to the conversion target configuration information;
[0008] Determining whether the conversion target is a late registration target according to the creation time;
[0009] When the creation time is later than the activity start time of the target activity corresponding to the conversion target, determining that the conversion target is a late registration target;
[0010] Determine the target customer group to be monitored that needs to be supplemented according to the late registration target;
[0011] Based on the late registration target and the target customer group to be monitored, the conversion effect data of the business target is calculated.
[0012] In one embodiment, the step of determining the target customer group to be monitored that needs to be supplemented according to the late registration target includes:
[0013] Determine whether the target activity has registered other conversion targets;
[0014] When it is determined that the target activity has not registered other conversion targets, the target customer group to be monitored that needs to be supplemented is determined from the activity target registration data of the target activity.
[0015] In one embodiment, the step of determining the target customer group to be monitored that needs to be supplemented from the activity target registration data of the target activity includes:
[0016] Determine the number of late registration days according to the creation time and the activity start time;
[0017] Determining customer group data from the activity target registration data according to the late registration days;
[0018] After batch processing of the customer group data, the target customer group to be monitored is obtained.
[0019] In one embodiment, the step of calculating the conversion effect data of the business target based on the late registration target and the target customer group to be monitored includes:
[0020] Determine the tracking and monitoring time according to the marketing monitoring business characteristics of the target activity;
[0021] Determine a target customer group among the target customer groups to be monitored, wherein the target customer group is a reach customer group within the tracking monitoring time among the target customer groups to be monitored;
[0022] Based on the late registration target and the target customer group, conversion effect data of the business target is calculated.
[0023] In one embodiment, the step of calculating the conversion effect data of the business target based on the late registration target and the target customer group includes:
[0024] When the current moment is the registration day of the late registration target, the conversion effect data of the business target is calculated according to the target customer group.
[0025] In one embodiment, the method further comprises:
[0026] When the creation time is not later than the activity start time, determining the conversion target as a regular registration target;
[0027] Determine customer group data for the day from activity target registration data of the target activity;
[0028] After batch processing the customer group data of the day, a target customer group to be monitored is obtained;
[0029] The conversion effect data of the business goal is calculated according to the business data source of the target activity and the target customer group to be monitored.
[0030] In one embodiment, the step of calculating the conversion effect data of the business target according to the business data source of the target activity and the target customer group to be monitored includes:
[0031] Determining a current day business data source from the business data source, and determining a current day business behavior based on the current day business data source;
[0032] Determine the tracking and monitoring time according to the marketing monitoring business characteristics of the target activity;
[0033] Determine a target customer group among the target customer groups to be monitored, wherein the target customer group is a reach customer group within the tracking monitoring time among the target customer groups to be monitored;
[0034] Determine the correlation information between the business behavior on the day and the target customer group;
[0035] Based on the associated information, the conversion effect data of the business goal is calculated.
[0036] In addition, to achieve the above purpose, the present application also proposes an adaptive processing device for marketing late registration monitoring data, the adaptive processing device for marketing late registration monitoring data comprising:
[0037] A determination module, used to determine the creation time of the conversion target according to the conversion target configuration information;
[0038] A judgment module, used for judging whether the conversion target is a late registration target according to the creation time;
[0039] The determination module is further configured to determine that the conversion target is a late registration target when the creation time is later than the activity start time of the target activity corresponding to the conversion target;
[0040] The determination module is further used to determine the target customer group to be monitored that needs to be supplemented according to the late registration target;
[0041] A calculation module is used to calculate the conversion effect data of the business target based on the late registration target and the target customer group to be monitored.
[0042] In addition, to achieve the above-mentioned purpose, the present application also proposes an adaptive processing device for marketing late registration monitoring data, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the adaptive processing method for marketing late registration monitoring data as described above.
[0043] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the adaptive processing method of marketing late registration monitoring data as described above are implemented.
[0044] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the adaptive processing method of marketing late registration monitoring data as described above.
[0045] One or more technical solutions proposed in this application have at least the following technical effects:
[0046] The adaptive processing method and device for marketing late registration monitoring data proposed in the present application determine the creation time of the conversion target according to the conversion target configuration information; judge whether the conversion target is a late registration target according to the creation time; determine that the conversion target is a late registration target when the creation time is later than the activity start time of the target activity corresponding to the conversion target; determine the target customer group to be monitored that needs to be supplemented according to the late registration target; calculate the conversion effect data of the business target based on the late registration target and the target customer group to be monitored, which solves the technical problem that the traditional method of late supplementary configuration for marketing monitoring targets will cause increased manpower operation and maintenance costs or pressure to re-run to make up the numbers. Compared with the existing technology, the present application is mainly used for batch processing of marketing effect data calculation after late registration of marketing targets, identifies late registration activities according to the relationship between registration time and activity running time, adaptively supplements missing lists and business data, and rolls back to calculate conversion effects. It can realize automatic supplement of massive conversion effect data without manual intervention and system re-running, which can not only effectively reduce the large amount of operation and maintenance manpower consumption, but also meet the flexible adjustment of business conversion targets and improve user experience. BRIEF DESCRIPTION OF THE DRAWINGS
[0047] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.
[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0049] Figure 1 A flow chart of the first embodiment of the adaptive processing method for late registration monitoring data of the present application;
[0050] Figure 2 A target customer group processing flow chart provided for the first embodiment of the adaptive processing method for late registration monitoring data of this application;
[0051] Figure 3 The sliding type accurate positioning target customer group provided by the adaptive processing method embodiment 1 of the marketing late registration monitoring data of this application;
[0052] Figure 4 The sliding window monitoring example provided for the first embodiment of the adaptive processing method for late registration monitoring data of this application;
[0053] Figure 5 The business conversion data processing flow provided by the first embodiment of the adaptive processing method for marketing late registration monitoring data of this application;
[0054] Figure 6 A flow chart of the second embodiment of the adaptive processing method for late registration monitoring data of the present application;
[0055] Figure 7 This is a schematic diagram of the module structure of an adaptive processing device for marketing late registration monitoring data according to an embodiment of the present application;
[0056] Figure 8 This is a schematic diagram of the device structure of the hardware operating environment involved in the adaptive processing method for marketing late registration monitoring data in the embodiment of the present application.
[0057] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION
[0058] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.
[0059] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.
[0060] The main solution of the embodiment of the present application is: determine the creation time of the conversion target according to the conversion target configuration information; judge whether the conversion target is a late registration target according to the creation time; when the creation time is later than the activity start time of the target activity corresponding to the conversion target, determine that the conversion target is a late registration target; determine the target customer group to be monitored that needs to be supplemented according to the late registration target; calculate the conversion effect data of the business target based on the late registration target and the target customer group to be monitored.
[0061] In this embodiment, for the convenience of description, the following description is made by taking the adaptive processing device for identifying marketing late registration monitoring data as the execution subject.
[0062] Because existing technologies use traditional methods to perform subsequent supplementary configurations for marketing monitoring targets, this will increase human operation and maintenance costs or cause pressure to re-run to make up for the data.
[0063] The present application provides a solution, which is mainly used for batch processing of calculation of marketing effect data after late registration of marketing targets, identifying late registration activities according to the relationship between registration time and activity running time, adaptively supplementing missing lists and business data, and rolling back calculation of conversion effects. It can realize automatic supplement of massive conversion effect data without manual intervention and system re-running, which can not only effectively reduce the large amount of operation and maintenance manpower consumption, but also can meet the flexible adjustment of business conversion targets and improve user experience.
[0064] It can be seen from the above embodiments that the adaptive processing method and device for marketing late registration monitoring data proposed in the present application determines the creation time of the conversion target according to the conversion target configuration information; determines whether the conversion target is a late registration target according to the creation time; determines that the conversion target is a late registration target when the creation time is later than the activity start time of the target activity corresponding to the conversion target; determines the target customer group to be monitored that needs to be supplemented according to the late registration target; calculates the conversion effect data of the business target based on the late registration target and the target customer group to be monitored, which solves the technical problem that the use of traditional methods to perform late supplementary configuration for marketing monitoring targets will cause increased manpower operation and maintenance costs or re-running pressure to make up the numbers. Compared with the prior art, the present application is mainly used for batch processing of marketing effect data calculation after late registration of marketing targets, identifies late registration activities according to the relationship between registration time and activity running time, adaptively supplements missing lists and business data, and rolls back calculations of conversion effects, which can realize automatic supplementation of massive conversion effect data without manual intervention and system re-running, which can not only effectively reduce the large amount of operation and maintenance manpower consumption, but also meet the flexible adjustment of business conversion targets and improve user experience.
[0065] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, an adaptive processing device for marketing late registration monitoring data, etc. The following takes the adaptive processing device for marketing late registration monitoring data as an example to illustrate this embodiment and the following embodiments.
[0066] Based on this, the embodiment of the present application provides an adaptive processing method for marketing late registration monitoring data, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the adaptive processing method for marketing late registration monitoring data of the present application.
[0067] In this embodiment, the adaptive processing method of the marketing late registration monitoring data includes steps S10 to S50:
[0068] Step S10, determining the creation time of the conversion target according to the conversion target configuration information;
[0069] It should be noted that the conversion target can be automatically identified as a regular registration or late registration target and marked based on the creation time and activity start time of the conversion target in the conversion target configuration information, in preparation for the subsequent automatic pulling of lists and marketing business field data.
[0070] Step S20, judging whether the conversion target is a late registration target according to the creation time;
[0071] It should be noted that when the creation time is later than the conversion target, the conversion target can be determined as a late registration target, and when the creation time is not later than the conversion target, the conversion target can be determined as a regular registration target.
[0072] Step S30, when the creation time is later than the activity start time of the target activity corresponding to the conversion target, determining that the conversion target is a late registration target;
[0073] Step S40, determining the target customer group to be monitored that needs to be supplemented according to the late registration target;
[0074] It should be noted that before determining the target customer group that needs to be added, it is also necessary to determine whether the conversion target is the target configured for the first time for the target activity. When the conversion target is not the target configured for the first time for the target activity, it is only necessary to add the conversion target without adding the target customer group. When the conversion target is the target configured for the first time for the target activity, it is necessary to add both the conversion target and the target customer group.
[0075] In the specific implementation, assuming that the creation time of the conversion target is T0, the activity start time is T, and each activity can support the configuration of multiple targets, the late registration identification of the conversion target is shown in Table 1 below:
[0076]
[0077] Table 1 Late registration identification
[0078] It should be noted that in the above example, activity ACT1 configured goals 1 and 2 before it was officially issued (that is, before the activity started), and added goal 3 on T0. Since activity ACT1 had already registered other goals before the activity started, the customer base was complete and there was no need to chase numbers (that is, there was no need to add target customer base). Only conversion effects needed to be chased. This type (A) only added conversion goals. ACT2 configured conversion goals for the first time on T0. This type (B) has both missing customer base and conversion goals, and both need to be chased.
[0079] In a feasible implementation, the step of determining the target customer group to be monitored that needs to be supplemented based on the late registration target includes: determining whether the target activity has registered other conversion targets; when it is determined that the target activity has not registered other conversion targets, determining the target customer group to be monitored that needs to be supplemented from the activity target registration data of the target activity.
[0080] It should be noted that for type A (additional conversion targets), this type of target customer group is complete because other targets have been registered in the early stage, and no additional targets are required. The processing flow is the same as the regular registration. For type B (first registration, the customer group and conversion targets need to be added), a separate link is required for processing, combined with the activity target registration information, divergent supplementary date, and the customer group data for the previous T0-T days is pulled at one time, as shown in Table 2 below:
[0081] Date of data processing Late Registration-Group Date Regular Registration-Group Date T0 T0 T0 T0 T0-1 T0 T0 ...... ...... T0 T0-T T0
[0082] Table 2 Additional customer group date processing
[0083] It should be noted that the target customer group date to be supplemented is automatically calculated based on the difference between the activity start time and the creation time of the conversion target, and then the historical data to be supplemented is pulled from the full target customer group data to the partition of the day at one time. For regular registered activities, the customer group table partition of the day only contains the reach data of the day. For late registered activities, the partition of the day includes the reach data of the day and the reach data of the previous customer groups.
[0084] In the specific implementation, Figure 2As shown, when the conversion target is a regular registration target, the target customer group to be monitored can be obtained by batch processing the target customer group for the day. When the conversion target is a late registration target, it is necessary to further determine whether the late registration target has registered other conversion targets. If the late registration target has registered other conversion targets, there is no need to add a customer group, that is, the target customer group to be monitored is obtained in the manner of regular registration targets. If the late registration target has not registered other conversion targets, it is necessary to obtain the target customer group to be monitored by batch processing the target customer group between (T0-T).
[0085] In a feasible implementation, the step of determining the target customer group to be monitored that needs to be supplemented from the activity target registration data of the target activity includes: determining the number of late registration days based on the creation time and the activity start time; determining customer group data from the activity target registration data based on the number of late registration days; and obtaining the target customer group to be monitored after batch processing of the customer group data.
[0086] It should be noted that on the registration day of the conversion target, there are different late registration days for multiple activities. You can accurately locate the target customer group based on the late registration days, thereby effectively reducing the number of target customer lists, such as Figure 3 As shown, based on the adaptive recognition of rollback data, the customer list supplement interval in a single activity can be accurately identified, the location can be precisely determined, and the customer list size can be reduced. Compared with the conventional processing method of pulling a fixed number of days, the list size can be effectively reduced.
[0087] In this embodiment, by proposing automatic identification of late registration scenarios and adaptively diffusing and supplementing target customer groups and business target data, the automation of late registration scenario supplementation is achieved without the need to build an additional supplementation system or manual intervention, thereby ensuring the timeliness and accuracy of the supplementation and reducing manual operation and maintenance costs.
[0088] Step S50, calculating conversion effect data of the business target based on the late registration target and the target customer group to be monitored.
[0089] It should be noted that the calculation of conversion effect data is the daily batch statistics of the achievement of business goals of customers who are still within the monitoring period.
[0090] It should be noted that according to the characteristics of the marketing monitoring business, each customer must be tracked and monitored for a period of time (i.e., the monitoring window) after being contacted to observe the customer's business conversion behavior, and finally determine whether the conversion goal has been achieved.
[0091] It is understandable that since the monitoring window is related to the business objectives, different business areas and business objectives have different monitoring windows. Figure 4As shown in the figure, assuming that the monitoring window for a business goal is N days, from the perspective of the activity as a whole, the customer's contact dates are scattered over multiple days, and the same customer may be contacted multiple times, so the monitoring window for marketing customers is sliding.
[0092] In a feasible implementation, the step of calculating the conversion effect data of the business goal based on the late registration target and the target customer group to be monitored includes: determining the tracking and monitoring time according to the marketing monitoring business characteristics of the target activity; determining the target customer group in the target customer group to be monitored, wherein the target customer group is the reached customer group in the target customer group to be monitored that is within the tracking and monitoring time; and calculating the conversion effect data of the business goal based on the late registration target and the target customer group.
[0093] It should be noted that the reached customer group refers to the customer group that has learned about the target activity through various channels, such as the customer group that has learned about the target activity through text messages, the Internet of Things, etc.
[0094] It should be noted that on the registration day of the late-registering target, it is necessary to process the business conversion data between T0 and T0-T in the partition of that day (that is, complete the automatic tracking of all target customer groups and business conversion data on the data processing date T0, and enter the regular monitoring link on T0+1 without special processing); after the registration day of the late-registering target, the regular monitoring link is used for monitoring, that is, the business behavior occurring on that day is associated with the target customer group within the tracking and monitoring time.
[0095] In a feasible implementation manner, the step of calculating the conversion effect data of the business target based on the late registration target and the target customer group includes:
[0096] When the current moment is the registration day of the late registration target, the conversion effect data of the business target is calculated according to the target customer group.
[0097] It should be noted that, compared with the regular registration target, the late registration target needs to automatically expand the business data acquisition range forward according to the date and time difference of the delayed registration. That is, on the registration day, the data to be processed includes the business conversion data from T0 to T0-T, as shown in the following table:
[0098] Date of data processing Late Registration - Business Date General Registration-Business Date Customer group date T0 T0 T0 Monitoring validity period T0 T0-1 T0 Monitoring validity period T0 ...... ..... ..... T0 T0-T T0 Monitoring validity period
[0099] Table 3 Business conversion details date processing
[0100] In the specific implementation, Figure 5As shown, after obtaining the target customer group to be monitored, it is necessary to further screen the target customer group. For example, when the conversion target is a late registration target, it is necessary to obtain the business data source within T0-T days from the business data source and calculate the business conversion target through batch processing. When the conversion target is not a late registration target, it is only necessary to obtain the data source of the day from the business data source to batch calculate the business conversion target.
[0101] This embodiment determines the creation time of the conversion target according to the conversion target configuration information; determines whether the conversion target is a late registration target according to the creation time; determines that the conversion target is a late registration target when the creation time is later than the activity start time of the target activity corresponding to the conversion target; determines the target customer group to be monitored that needs to be supplemented according to the late registration target; calculates the conversion effect data of the business target based on the late registration target and the target customer group to be monitored, thereby solving the technical problem that the traditional method of performing late supplementary configuration for marketing monitoring targets will cause increased manpower operation and maintenance costs or pressure to re-run to make up the numbers. Compared with the existing technology, this application is mainly used for batch processing of marketing effect data calculation after late registration of marketing targets, identifies late registration activities according to the relationship between registration time and activity running time, adaptively supplements missing lists and business data, and rolls back calculations of conversion effects. It can realize automatic supplementation of massive conversion effect data without manual intervention and system re-running, which can effectively reduce the large amount of operation and maintenance manpower consumption, while meeting the flexible adjustment of business conversion targets and improving user experience.
[0102] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 6 After step S50, the method for adaptively processing marketing late registration monitoring data further includes steps S60 to S90:
[0103] Step S60, when the creation time is not later than the activity start time, determining the conversion target as a regular registration target;
[0104] It should be noted that when the conversion target is a regular registration target, it is only necessary to associate the business behavior occurring on that day with the target customer group within the monitoring validity period, and then calculate the conversion effect data of the business target based on the associated data.
[0105] Step S70, determining customer group data for the day from the activity target registration data of the target activity;
[0106] Step S80, after batch processing the customer group data of the day, a target customer group to be monitored is obtained;
[0107] Step S90, calculating the conversion effect data of the business target according to the business data source of the target activity and the target customer group to be monitored.
[0108] In a feasible implementation, the step of calculating the conversion effect data of the business goal based on the business data source of the target activity and the target customer group to be monitored includes: determining the business data source of the day from the business data source, and determining the business behavior of the day based on the business data source of the day; determining the tracking and monitoring time based on the marketing monitoring business characteristics of the target activity; determining the target customer group in the target customer group to be monitored, wherein the target customer group is the reached customer group in the target customer group to be monitored that is within the tracking and monitoring time; determining the correlation information between the business behavior of the day and the target customer group; and calculating the conversion effect data of the business goal based on the correlation information.
[0109] It should be noted that after each customer is reached, it is necessary to track and monitor for a period of time in order to observe the customer's business conversion behavior and then determine whether the conversion goal has been achieved.
[0110] This embodiment determines that the conversion target is a regular registration target when the creation time is not later than the activity start time; determines the customer group data of the day from the activity target registration data of the target activity; obtains the target customer group to be monitored after batch processing the customer group data of the day; and calculates the conversion effect data of the business target according to the business data source of the target activity and the target customer group to be monitored. This embodiment can realize automatic monitoring data tracking and effectively support the daily marketing work of business personnel.
[0111] For example, in order to help understand the implementation process of the adaptive processing method of marketing late registration monitoring data obtained by combining this embodiment with the above-mentioned embodiment 1, please refer to Figure 3 , Figure 3 A brief flow chart of an adaptive processing method for marketing late registration monitoring data is provided, specifically:
[0112] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the adaptive processing method of marketing late registration monitoring data of the present application. More forms of simple transformations based on this technical concept are all within the scope of protection of the present application.
[0113] This application also provides an adaptive processing device for marketing late registration monitoring data, please refer to Figure 7 , the adaptive processing device for marketing late registration monitoring data comprises:
[0114] A determination module 10, configured to determine a creation time of a conversion target according to the conversion target configuration information;
[0115] A judgment module 20, configured to judge whether the conversion target is a late registration target according to the creation time;
[0116] The determination module 10 is further configured to determine that the conversion target is a late registration target when the creation time is later than the activity start time of the target activity corresponding to the conversion target;
[0117] The determination module 10 is further used to determine the target customer group to be monitored that needs to be supplemented according to the late registration target;
[0118] The calculation module 30 is used to calculate the conversion effect data of the business target based on the late registration target and the target customer group to be monitored.
[0119] The adaptive processing device for marketing late registration monitoring data provided by the present application adopts the adaptive processing method for marketing late registration monitoring data in the above-mentioned embodiment, which can solve the technical problem that the use of traditional methods to perform later supplementary configurations for marketing monitoring targets will cause increased manpower operation and maintenance costs or pressure to re-run to make up the numbers. Compared with the prior art, the beneficial effects of the adaptive processing device for marketing late registration monitoring data provided by the present application are the same as the beneficial effects of the adaptive processing method for marketing late registration monitoring data provided by the above-mentioned embodiment, and the other technical features in the adaptive processing device for marketing late registration monitoring data are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.
[0120] The present application provides an adaptive processing device for marketing late registration monitoring data, the adaptive processing device for marketing late registration monitoring data comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the adaptive processing method for marketing late registration monitoring data in the above-mentioned embodiment one.
[0121] Reference below Figure 8 , which shows a schematic diagram of the structure of an adaptive processing device for marketing late registration monitoring data suitable for implementing the embodiment of the present application. The adaptive processing device for marketing late registration monitoring data in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 8The adaptive processing device for marketing late registration monitoring data shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.
[0122] like Figure 8 As shown, the adaptive processing device for marketing late registration monitoring data may include a processing device 1001 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the adaptive processing device for marketing late registration monitoring data are also stored. The processing device 1001, ROM1002, and RAM1004 are connected to each other via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the adaptive processing device for marketing late registration monitoring data to communicate wirelessly or wired with other devices to exchange data. Although the figure shows an adaptive processing device for marketing late registration monitoring data with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have instead.
[0123] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.
[0124] The adaptive processing device for marketing late registration monitoring data provided by the present application adopts the adaptive processing method for marketing late registration monitoring data in the above-mentioned embodiment, which can solve the technical problem that the traditional method of performing later supplementary configuration for marketing monitoring targets will cause increased manpower operation and maintenance costs or pressure to re-run to make up the numbers. Compared with the prior art, the beneficial effects of the adaptive processing device for marketing late registration monitoring data provided by the present application are the same as the beneficial effects of the adaptive processing method for marketing late registration monitoring data provided by the above-mentioned embodiment, and the other technical features in the adaptive processing device for marketing late registration monitoring data are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.
[0125] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.
[0126] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.
[0127] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, the computer-readable program instructions being used to execute the adaptive processing method for marketing late registration monitoring data in the above-mentioned embodiment.
[0128] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.
[0129] The above-mentioned computer-readable storage medium may be included in the adaptive processing device for marketing late registration monitoring data; or it may exist independently without being assembled into the adaptive processing device for marketing late registration monitoring data.
[0130] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the adaptive processing device for marketing late registration monitoring data, the adaptive processing device for marketing late registration monitoring data: determines the creation time of the conversion target according to the conversion target configuration information; determines whether the conversion target is a late registration target according to the creation time; and determines that the conversion target is a late registration target when the creation time is later than the activity start time of the target activity corresponding to the conversion target;
[0131] Determine the target customer group to be monitored that needs to be supplemented according to the late registration target;
[0132] Based on the late registration target and the target customer group to be monitored, the conversion effect data of the business target is calculated.
[0133] Computer program code for performing the operations of the present application may be written in one or more programming languages or a combination thereof, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).
[0134] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0135] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.
[0136] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned adaptive processing method for marketing late registration monitoring data, and can solve the technical problem that the use of traditional methods to perform later supplementary configurations for marketing monitoring targets will increase human operation and maintenance costs or cause pressure to re-run to make up the numbers. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the adaptive processing method for marketing late registration monitoring data provided by the above-mentioned embodiments, and will not be elaborated here.
[0137] The present application also provides a computer program product, comprising a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for adaptively processing marketing late registration monitoring data.
[0138] The computer program product provided by the present application can solve the technical problem that the traditional method of performing late supplementary configuration for marketing monitoring targets will increase the manpower operation and maintenance costs or cause the pressure of re-running to make up the numbers. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the adaptive processing method for marketing late registration monitoring data provided by the above embodiment, which will not be repeated here.
[0139] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.
Claims
1. An adaptive processing method for marketing late registration monitoring data, characterized in that: The method comprises: Determine the creation time of the conversion target according to the conversion target configuration information; Determining whether the conversion target is a late registration target according to the creation time; When the creation time is later than the activity start time of the target activity corresponding to the conversion target, determining that the conversion target is a late registration target; Determine the target customer group to be monitored that needs to be supplemented according to the late registration target; Based on the late registration target and the target customer group to be monitored, the conversion effect data of the business target is calculated.
2. The method according to claim 1, characterized in that The step of determining the target customer group to be monitored that needs to be supplemented according to the late registration target includes: Determine whether the target activity has registered other conversion targets; When it is determined that the target activity has not registered other conversion targets, the target customer group to be monitored that needs to be supplemented is determined from the activity target registration data of the target activity.
3. The method according to claim 2, characterized in that The step of determining the target customer group to be monitored that needs to be supplemented from the activity target registration data of the target activity includes: Determine the number of late registration days according to the creation time and the activity start time; Determining customer group data from the activity target registration data according to the late registration days; After batch processing of the customer group data, the target customer group to be monitored is obtained.
4. The method according to claim 3, characterized in that The step of calculating the conversion effect data of the business target based on the late registration target and the target customer group to be monitored includes: Determine the tracking and monitoring time according to the marketing monitoring business characteristics of the target activity; Determine a target customer group among the target customer groups to be monitored, wherein the target customer group is a reach customer group within the tracking monitoring time among the target customer groups to be monitored; Based on the late registration target and the target customer group, conversion effect data of the business target is calculated.
5. The method according to claim 4, characterized in that The step of calculating the conversion effect data of the business target based on the late registration target and the target customer group includes: When the current moment is the registration day of the late registration target, the conversion effect data of the business target is calculated according to the target customer group.
6. The method according to claim 1, characterized in that The method further comprises: When the creation time is not later than the activity start time, determining the conversion target as a regular registration target; Determine customer group data for the day from activity target registration data of the target activity; After batch processing the customer group data of the day, a target customer group to be monitored is obtained; The conversion effect data of the business goal is calculated according to the business data source of the target activity and the target customer group to be monitored.
7. The method according to claim 6, characterized in that The step of calculating the conversion effect data of the business target according to the business data source of the target activity and the target customer group to be monitored includes: Determining a current day business data source from the business data source, and determining a current day business behavior based on the current day business data source; Determine the tracking and monitoring time according to the marketing monitoring business characteristics of the target activity; Determine a target customer group among the target customer groups to be monitored, wherein the target customer group is a reach customer group within the tracking monitoring time among the target customer groups to be monitored; Determine the correlation information between the business behavior on the day and the target customer group; Based on the associated information, the conversion effect data of the business goal is calculated.
8. An adaptive processing device for marketing late registration monitoring data, characterized in that: The device comprises: A determination module, used to determine the creation time of the conversion target according to the conversion target configuration information; A judgment module, used for judging whether the conversion target is a late registration target according to the creation time; The determination module is further configured to determine that the conversion target is a late registration target when the creation time is later than the activity start time of the target activity corresponding to the conversion target; The determination module is further used to determine the target customer group to be monitored that needs to be supplemented according to the late registration target; A calculation module is used to calculate the conversion effect data of the business target based on the late registration target and the target customer group to be monitored.
9. An adaptive processing device for marketing late registration monitoring data, characterized in that, The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for adaptively processing marketing late registration monitoring data according to any one of claims 1 to 7.
10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the method for adaptively processing marketing late registration monitoring data as described in any one of claims 1 to 7 are implemented.