CN113222359A - Method and device for determining accepting line strategy based on electric marketing line conversion rate - Google Patents
Method and device for determining accepting line strategy based on electric marketing line conversion rate Download PDFInfo
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Abstract
The invention discloses a method and a device for determining a receiving line strategy based on the conversion rate of an electric marketing thread, wherein the method comprises the following steps: inputting the label attributes of the electric sales thread to be distributed into a trained preset model to obtain the thread grade corresponding to the electric sales thread to be distributed; distributing the distribution pins to be distributed with the same pin grade to the same accepting line; respectively acquiring the standard conversion rate of the electric marketing lines of each line level and the actual electric marketing conversion rate of the electric marketing lines to be distributed of each line level; and determining the excitation strategy of the corresponding adapting line according to the standard conversion rate and the actual conversion rate of the same clue grade. The invention can effectively stimulate the receiving line to actively sell the electric sales leads of all lead grades so as to promote the conversion rate of all electric sales leads, avoid the receiving line from passively treating the electric sales leads with low quality and improve the overall conversion rate.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method, a device, electronic equipment and a computer readable medium for determining a receiving line strategy based on an electric marketing line conversion rate.
Background
With the development of communication technology, more and more enterprises choose to sell products by telephone and even by telemarketing robots. In the existing electric marketing process, electric marketing clues are randomly distributed to a receiving line, and the receiving line obtains corresponding rewards as incentives after successful sale of products according to the distributed electric marketing clues.
This way of excitation ignores the fact that the electrical pin wire itself has a high or low quality score: for the electricity marketing clues with high quality, the probability of conversion per se is higher, and the electricity marketing clues are easy to be sold successfully; for the electricity marketing clues with low quality, the probability of conversion is low, and the electricity marketing clues are not easy to be sold successfully. Therefore, after the electric marketing lines are randomly assigned to the receiving lines, the receiving lines are relatively active for the high-quality electric marketing lines, and have negative emotions such as random derivatives and poor service attitudes for the low-quality electric marketing lines. The conversion rate of the electric marketing rope with low quality is too low, so that the problems of waste of the electric marketing rope and low conversion rate of the whole electric marketing rope are caused.
Disclosure of Invention
The invention aims to solve the technical problems of waste of electric marketing clues and low overall conversion rate caused by the fact that the electric marketing clues with low quality are treated by a receiving line in a passive mode.
In order to solve the above technical problem, a first aspect of the present invention provides a method for determining a take-over route based on a conversion rate of an electric marketing line, the method comprising:
inputting the label attributes of the electric sales thread to be distributed into a trained preset model to obtain the thread grade corresponding to the electric sales thread to be distributed;
distributing the distribution pins to be distributed with the same pin grade to the same accepting line;
respectively acquiring the standard conversion rate of the electric marketing lines of each line level and the actual electric marketing conversion rate of the electric marketing lines to be distributed of each line level;
and determining the excitation strategy of the corresponding adapting line according to the standard conversion rate and the actual conversion rate of the same clue grade.
According to a preferred embodiment of the present invention, before inputting the electric marketing lines to be distributed into the trained preset model and obtaining the line levels corresponding to the electric marketing lines to be distributed, the method further includes:
acquiring the tag attributes of historical electric marketing clues and corresponding clue grades;
and training a preset model according to the label attributes of the historical electric sales leads and the corresponding lead grades to obtain the trained preset model.
According to a preferred embodiment of the present invention, after inputting the tag attributes of the to-be-distributed electric marketing lines into the trained preset model and obtaining the line levels corresponding to the to-be-distributed electric marketing lines, the method further includes:
and correcting the thread grade corresponding to the electricity distribution and marketing thread to be distributed, which is output by the preset model, according to the service characteristics of the electricity marketing thread to be distributed.
According to a preferred embodiment of the present invention, the assigning of distribution pin lines to be assigned to the same line class to the same drop line comprises:
obtaining the conversion rate grade of each receiving line;
configuring a corresponding relation between the clue grade and the conversion rate grade;
and distributing the distribution marketing lines to be distributed in the same line grade to the receiving lines with the conversion rate grade corresponding to the line grade according to the corresponding relation.
According to a preferred embodiment of the present invention, the obtaining the conversion rate class of each stub line includes:
in a first preset time period, averagely distributing the distribution and marketing lines to be distributed of all line levels to all carrying lines;
acquiring the actual conversion rate of each supporting line to-be-distributed power distribution marketing line;
and dividing the adapting line into different conversion rate grades according to the actual conversion rate.
According to a preferred embodiment of the present invention, the tag attributes include: age, gender, family structure, behavior information for the product.
In order to solve the above technical problem, a second aspect of the present invention provides an apparatus for adapting a route determination strategy based on a conversion rate of an electric marketing line, the apparatus comprising:
the model processing module is used for inputting the label attribute of the electric sales thread to be distributed into a trained preset model to obtain the thread grade corresponding to the electric sales thread to be distributed;
the distribution module is used for distributing the distribution pins to be distributed in the same pin grade to the same accepting line;
the acquisition module is used for respectively acquiring the standard conversion rate of the electric marketing lines of each line level and the actual electric marketing conversion rate of the electric marketing lines to be distributed of each line level;
and the generating module is used for determining the excitation strategy of the corresponding adapting line according to the standard conversion rate and the actual conversion rate of the same clue grade.
According to a preferred embodiment of the invention, the device further comprises:
the first acquisition module is used for acquiring the tag attributes of the historical electric marketing clues and the corresponding clue grades;
and the training module is used for training a preset model through the label attributes of the historical electric marketing clues and the corresponding clue grades to obtain the trained preset model.
According to a preferred embodiment of the invention, the device further comprises:
and the correcting module is used for correcting the thread grade corresponding to the electricity distribution and marketing thread to be distributed, which is output by the preset model, according to the service characteristics of the electricity marketing thread to be distributed.
According to a preferred embodiment of the invention, the distribution module comprises:
the sub-acquisition module is used for acquiring the conversion rate grade of each receiving line;
the configuration module is used for configuring the corresponding relation between the clue grade and the conversion rate grade;
and the sub-distribution module is used for distributing the distribution sales line to be distributed with the same line grade to the receiving line with the conversion rate grade corresponding to the line grade according to the corresponding relation.
According to a preferred embodiment of the present invention, the sub-acquisition module includes:
the first distribution module is used for averagely distributing the distribution and marketing lines to be distributed of all line levels to all receiving lines in a first preset time period;
the second acquisition module is used for acquiring the actual conversion rate of each accepting line to the to-be-distributed distribution marketing line;
and the classification module is used for classifying the carrying lines into different conversion rate grades according to the actual conversion rate.
According to a preferred embodiment of the present invention, the tag attributes include: age, gender, family structure, behavior information for the product.
To solve the above technical problem, a third aspect of the present invention provides an electronic device, comprising:
a processor; and
a memory storing computer executable instructions that, when executed, cause the processor to perform the method described above.
To solve the above technical problems, a fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs which, when executed by a processor, implement the above method.
The method fully considers the positive correlation between the high and low quality of the electric sales line and the conversion rate, and grades the electric sales line to be distributed through a preset model to obtain a line grade representing the high and low quality of the electric sales line to be distributed; distributing the distribution pins to be distributed with the same pin grade to the same accepting line; and determining an excitation strategy for the accepting line according to the standard conversion rate and the actual conversion rate of the accepting line for the electric marketing threads with the same grade, so that the accepting line is excited according to the thread grade of the electric marketing threads and the standard conversion rate of the thread grade. The invention can effectively stimulate the receiving line to actively sell the electric sales leads of all lead grades so as to promote the conversion rate of all electric sales leads, avoid the receiving line from passively treating the electric sales leads with low quality and improve the overall conversion rate.
Drawings
In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects obtained more clear, the following will describe in detail the embodiments of the present invention with reference to the accompanying drawings. It should be noted, however, that the drawings described below are only illustrations of exemplary embodiments of the invention, from which other embodiments can be derived by those skilled in the art without inventive step.
FIG. 1 is a schematic flow chart of a method for adapting a route determination strategy based on the conversion rate of an electric marketing cue according to the present invention;
FIG. 2 is a schematic diagram of the present invention for determining the incentive strategy for a corresponding pickup line based on the standard conversion and the actual conversion for the same thread class;
FIG. 3 is a schematic structural framework diagram of an apparatus for adapting a route determination strategy based on the conversion rate of an electric marketing line according to the present invention;
FIG. 4 is a block diagram of an exemplary embodiment of an electronic device in accordance with the present invention;
FIG. 5 is a schematic diagram of one embodiment of a computer-readable medium of the present invention.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention may be embodied in many specific forms, and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art.
The structures, properties, effects or other characteristics described in a certain embodiment may be combined in any suitable manner in one or more other embodiments, while still complying with the technical idea of the invention.
In describing particular embodiments, specific details of structures, properties, effects, or other features are set forth in order to provide a thorough understanding of the embodiments by one skilled in the art. However, it is not excluded that a person skilled in the art may implement the invention in a specific case without the above-described structures, performances, effects or other features.
The flow chart in the drawings is only an exemplary flow demonstration, and does not represent that all the contents, operations and steps in the flow chart are necessarily included in the scheme of the invention, nor does it represent that the execution is necessarily performed in the order shown in the drawings. For example, some operations/steps in the flowcharts may be divided, some operations/steps may be combined or partially combined, and the like, and the execution order shown in the flowcharts may be changed according to actual situations without departing from the gist of the present invention.
The block diagrams in the figures generally represent functional entities and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The same reference numerals denote the same or similar elements, components, or parts throughout the drawings, and thus, a repetitive description thereof may be omitted hereinafter. It will be further understood that, although the terms first, second, third, etc. may be used herein to describe various elements, components, or sections, these elements, components, or sections should not be limited by these terms. That is, these phrases are used only to distinguish one from another. For example, a first device may also be referred to as a second device without departing from the spirit of the present invention. Furthermore, the term "and/or", "and/or" is intended to include all combinations of any one or more of the listed items.
Referring to fig. 1, fig. 1 is a flowchart illustrating a method for adapting a line determination strategy based on a transformation ratio of an electric marketing thread according to the present invention. As shown in fig. 1, the method includes:
s1, inputting the label attribute of the electric sales thread to be distributed into a trained preset model to obtain the thread grade corresponding to the electric sales thread to be distributed;
based on different requirements of clue people on products, the electricity sales clue with high requirement degree is high in quality, the probability of purchasing the products is higher, and therefore the conversion rate is also high, the electricity sales clue with low requirement is low in quality, the probability of purchasing the products is lower, and the corresponding conversion rate is also low. According to the invention, by training the preset model, the thread grade representing the high and low quality of the electric sales thread can be predicted according to the label data of the electric sales thread.
Wherein the tag attributes of the electrical marketing thread include: clue at least one of age, gender, family structure of the user, and behavior information on the product. The behavior information on the product comprises; and the behavior information related to the product, such as purchase record, browsing record, consultation record and the like of the product by the clue user. The preset model may adopt a classification model, such as: any one of a Bayesian classifier, a K-nearest neighbor model, a decision tree model and a neural network model.
Before the step, historical electricity sales data can be collected, and then characteristic engineering processing is carried out on the historical electricity sales data to obtain the tag attributes of the historical electricity sales clues and the corresponding clue grades; and training a preset model according to the label attributes of the historical electric sales leads and the corresponding lead grades to obtain the trained preset model.
In addition, the thread grades predicted by the model can be adjusted according to the service characteristics, and the accuracy of classifying the electric marketing thread grades is improved. For example, for the characteristics of insurance services, the source channels of the electricity marketing clues are different, the corresponding conversion rates are different, the conversion rate of the electricity marketing clues of some specific source channels (such as offline popularization sources) is higher, and the conversion rate of the electricity marketing clues of some source channels (such as APP click channels) is lower, so that the clue levels are also deviated from the levels predicted by the model. Therefore, after the step, for the characteristics of the insurance business, the thread level corresponding to the electricity distribution thread to be distributed output by the preset model can be corrected according to the source channel of the electricity distribution thread to be distributed. Specifically, channel grades can be divided for source channels according to source channels of historical electricity marketing clues and corresponding conversion rate data through a machine model or a statistical mode, an intermediate channel grade is determined, in the correction process, the clue grade of the electricity marketing clue corresponding to the intermediate channel grade is unchanged, the clue grade of the electricity marketing clue corresponding to the channel grade larger than the intermediate grade is increased, a specific increase value corresponds to a difference value between the two channel grades, the clue grade of the electricity marketing clue corresponding to the channel grade smaller than the intermediate grade is decreased, and a specific decrease value corresponds to a difference value between the two channel grades. For example, if the source channel is divided into 5 levels, the third channel level may be used as an intermediate channel level, and in the modification process, for the electricity marketing cue of the first channel level, two levels may be added as the modified cue level according to the predicted cue level; and the thread level of the electric marketing thread of the third channel level is unchanged.
S2, distributing the distribution pin cables to be distributed with the same cable grade to the same accepting line;
specifically, in the distribution process of the electric sales lines, the system automatically distributes the electric sales lines to be distributed with the same line grade to the same accepting line randomly for processing.
Considering the difference of the service capacity of each accepting line, the distribution and marketing lines to be distributed corresponding to the line grade can be distributed according to the service capacity of the accepting line, so that the electricity marketing conversion rate is further improved. Therefore, in a preferred embodiment, the trunking lines may be classified according to historical service data of the trunking lines, and distribution pins to be distributed with specified pin classes are distributed to different classes of trunking lines, and this step specifically includes:
s21, obtaining the conversion rate grade of each receiving line;
specifically, the distribution and marketing lines to be distributed at each line level can be averagely distributed to each receiving line within a first preset time period (such as 3 months); acquiring the actual conversion rate of each accepting line to-be-distributed distribution and marketing line in a statistical mode; and dividing the adapting line into different conversion rate grades according to the actual conversion rate.
S22, configuring the corresponding relation between the clue grade and the conversion rate grade;
in the specific configuration process, the cable grade corresponding to the high-quality electric marketing cable can be configured to the receiving line with the high conversion rate grade, and the cable grade corresponding to the low-quality electric marketing cable can be configured to the receiving line with the low conversion rate grade, so that the conversion rate of the high-quality electric marketing cable can be improved. The cable grade corresponding to the high-quality electric marketing cable can be allocated to the receiving line with the low conversion rate grade, and the cable grade corresponding to the low-quality electric marketing cable can be allocated to the receiving line with the high conversion rate grade, so that the conversion rate of the low-quality electric marketing cable can be improved. It is obvious that the invention is not limited to the two configurations described above, and configurations whose task is based on the principles described above are within the scope of protection of the invention.
And S23, distributing the distribution sales lines to be distributed with the same line grade to the receiving lines with the conversion rate grade corresponding to the line grade according to the corresponding relation.
Specifically, the corresponding relation between the cue grade and the conversion rate grade is inquired, the target conversion rate grade corresponding to the electricity distribution cue to be distributed of the target cue grade is obtained from the corresponding relation, and then the electricity distribution cue to be distributed of the target cue grade is distributed to the receiving line of the target conversion rate grade.
S3, respectively acquiring the standard conversion rate of the electric marketing lines of each line level and the actual electric marketing conversion rate of the electric marketing lines to be distributed of each line level;
illustratively, the normalized conversion rate and the actual electricity sales conversion rate may be obtained statistically, respectively. Specifically, the label of the historical electric sales lead can be input into a trained preset model to obtain the lead grade of the historical electric sales lead, and then the conversion rate of the historical electric sales lead of each lead grade is counted to be used as the standard conversion rate of the lead grade. And after the electric marketing lines to be distributed are processed by the accepting line, counting the actual electric marketing conversion rate of the electric marketing lines to be distributed of each line grade.
And S4, determining the excitation strategy of the corresponding adapting line according to the standard conversion rate and the actual conversion rate of the same clue level.
In the present invention, the incentive policy includes: the incentive mode comprises an incentive mode and an incentive value, the incentive mode comprises an incentive and a penalty, and the incentive value can be a fund incentive value directly or an incentive level corresponding to the fund incentive value. For example, in a specific incentive strategy, N incentive ranges are set, each incentive range corresponds to a fund incentive value, a receiving line with an actual conversion rate greater than an ith incentive range of a standard conversion rate is rewarded with the fund incentive value corresponding to the ith incentive range, and a receiving line with an actual conversion rate less than a jth incentive range of a standard conversion rate is penalized with the fund incentive value corresponding to the jth incentive range. Wherein i =1, 2 … N, j =1, 2 … N. Obviously, the reward range and the fund reward value in the reward and the reward range and the fund reward value in the penalty may be the same or different, and the present invention is not limited specifically.
As shown in FIG. 2, the electricity sales lines (including the historical electricity sales lines and the electricity sales lines to be distributed) are classified into A through a trained preset model1、A2、A3、A4Four cable levels, the electric pin cables of the four cable levels are respectively distributed to four accepting lines a1、a2、a3、a4. Wherein A is1Standard conversion of (A) 0.51%, A2Standard conversion of (A) 0.55%, A3Standard conversion of (A) 0.6%, (A)4Standard conversion of 0.67%; a. the1Actual conversion of (A) was 0.50%, A2Actual conversion of (A) was 0.58%, A3Actual conversion of (A) was 0.64%,4the actual conversion of (a) was 0.68%. Set 4 bonus ranges: the first reward range: 0-0.025%, the second reward range: 0.025-0.05%, and the third reward range: 0.05-0.075%, the fourth reward scope: 0.075-0.1%, each reward range corresponds to a fund reward value, and then for the receiving line a1Punishing the fund reward value corresponding to the first reward range, and regarding the receiving line a2Awarding the funding value corresponding to the second award range for the carrier line a3Awarding the funding value corresponding to the second award range for the carrier line a4The first reward range is awarded a corresponding funding reward value.
According to the invention, for the electric marketing threads of the same grade, the excitation strategy is determined for the supporting line according to the standard conversion rate and the actual conversion rate of the supporting line, so that the supporting line is excited differentially according to the grade of the electric marketing threads, the electric marketing threads with low quality can be effectively prevented from being treated negatively by the supporting line, and the overall conversion rate is improved.
Fig. 3 is a schematic diagram of an apparatus for adapting a line determination strategy based on an electric marketing line conversion rate according to the present invention, as shown in fig. 3, the apparatus includes:
the model processing module 31 is configured to input the tag attributes of the to-be-distributed electric marketing threads into a trained preset model, so as to obtain thread grades corresponding to the to-be-distributed electric marketing threads;
the distribution module 32 is used for distributing the distribution pins to be distributed in the same pin grade to the same accepting line;
the obtaining module 33 is configured to obtain a standard conversion rate of the electric marketing line of each line level and an actual electric marketing conversion rate of the electric marketing line to be distributed of each line level;
and the generating module 34 is used for determining the excitation strategy of the corresponding adapting line according to the standard conversion rate and the actual conversion rate of the same clue level.
In one embodiment, the apparatus further comprises:
the first acquisition module is used for acquiring the tag attributes of the historical electric marketing clues and the corresponding clue grades;
and the training module is used for training a preset model through the label attributes of the historical electric marketing clues and the corresponding clue grades to obtain the trained preset model.
And the correcting module is used for correcting the thread grade corresponding to the electricity distribution and marketing thread to be distributed, which is output by the preset model, according to the service characteristics of the electricity marketing thread to be distributed.
In one embodiment, the assignment module 32 includes:
a sub-obtaining module 321, configured to obtain a conversion rate level of each receiving line;
a configuration module 322, configured to configure a corresponding relationship between the cue level and the conversion rate level;
and the sub-distribution module 323 is configured to distribute the distribution marketing lines to be distributed of the same cue level to the receiving lines of the conversion rate level corresponding to the cue level according to the corresponding relationship.
Further, the sub-obtaining module 321 includes:
the first distribution module is used for averagely distributing the distribution and marketing lines to be distributed of all line levels to all receiving lines in a first preset time period;
the second acquisition module is used for acquiring the actual conversion rate of each accepting line to the to-be-distributed distribution marketing line;
and the classification module is used for classifying the carrying lines into different conversion rate grades according to the actual conversion rate.
In the present invention, the tag attributes include: age, gender, family structure, behavior information for the product.
Those skilled in the art will appreciate that the modules in the above-described embodiments of the apparatus may be distributed as described in the apparatus, and may be correspondingly modified and distributed in one or more apparatuses other than the above-described embodiments. The modules of the above embodiments may be combined into one module, or further split into multiple sub-modules.
In the following, embodiments of the electronic device of the present invention are described, which may be regarded as an implementation in physical form for the above-described embodiments of the method and apparatus of the present invention. Details described in the embodiments of the electronic device of the invention should be considered supplementary to the embodiments of the method or apparatus described above; for details which are not disclosed in embodiments of the electronic device of the invention, reference may be made to the above-described embodiments of the method or the apparatus.
Fig. 4 is a block diagram of an exemplary embodiment of an electronic device according to the present invention. The electronic device shown in fig. 4 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 4, the electronic device 400 of the exemplary embodiment is represented in the form of a general-purpose data processing device. The components of electronic device 400 may include, but are not limited to: at least one processing unit 410, at least one memory unit 420, a bus 430 connecting different electronic device components (including the memory unit 420 and the processing unit 410), a display unit 440, and the like.
The storage unit 420 stores a computer-readable program, which may be a code of a source program or a read-only program. The program may be executed by the processing unit 410 such that the processing unit 410 performs the steps of various embodiments of the present invention. For example, the processing unit 410 may perform the steps as shown in fig. 1.
The storage unit 420 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM) 4201 and/or a cache memory unit 4202, and may further include a read only memory unit (ROM) 4203. The storage unit 420 may also include a program/utility 4204 having a set (at least one) of program modules 4205, such program modules 4205 including, but not limited to: operating the electronic device, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 400 may also communicate with one or more external devices 300 (e.g., keyboard, display, network device, bluetooth device, etc.), enable a user to interact with the electronic device 400 via the external devices 300, and/or enable the electronic device 400 to communicate with one or more other data processing devices (e.g., router, modem, etc.). Such communication may occur via input/output (I/O) interfaces 450, and may also occur via a network adapter 460 with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network such as the Internet). The network adapter 460 may communicate with other modules of the electronic device 400 via the bus 430. It should be appreciated that although not shown in FIG. 4, other hardware and/or software modules may be used in the electronic device 400, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID electronics, tape drives, and data backup storage electronics, among others.
FIG. 5 is a schematic diagram of one computer-readable medium embodiment of the present invention. As shown in fig. 5, the computer program may be stored on one or more computer readable media. The computer readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may be, for example, but not limited to, an electronic device, apparatus, or device that is electronic, magnetic, optical, electromagnetic, infrared, or semiconductor, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. The computer program, when executed by one or more data processing devices, enables the computer-readable medium to implement the above-described method of the invention, namely: inputting the label attributes of the electric sales thread to be distributed into a trained preset model to obtain the thread grade corresponding to the electric sales thread to be distributed; distributing the distribution pins to be distributed with the same pin grade to the same accepting line; respectively acquiring the standard conversion rate of the electric marketing lines of each line level and the actual electric marketing conversion rate of the electric marketing lines to be distributed of each line level; and determining the excitation strategy of the corresponding adapting line according to the standard conversion rate and the actual conversion rate of the same clue grade.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments of the present invention described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiment of the present invention can be embodied in the form of a software product, which can be stored in a computer-readable storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a data processing device (which can be a personal computer, a server, or a network device, etc.) execute the above-mentioned method according to the present invention.
The computer readable storage medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable storage medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution electronic device, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including object oriented programming languages such as Java, C + + or the like and conventional procedural programming languages, such as "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
In summary, the present invention can be implemented as a method, an apparatus, an electronic device, or a computer-readable medium executing a computer program. Some or all of the functions of the present invention may be implemented in practice using a general purpose data processing device such as a microprocessor or a Digital Signal Processor (DSP).
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.
Claims (14)
1. A method for adapting a line determination strategy based on electrical marketing cue conversion, the method comprising:
inputting the label attributes of the electric sales thread to be distributed into a trained preset model to obtain the thread grade corresponding to the electric sales thread to be distributed;
distributing the distribution pins to be distributed with the same pin grade to the same accepting line;
respectively acquiring the standard conversion rate of the electric marketing lines of each line level and the actual electric marketing conversion rate of the electric marketing lines to be distributed of each line level;
and determining the excitation strategy of the corresponding adapting line according to the standard conversion rate and the actual conversion rate of the same clue grade.
2. The method of claim 1, wherein before inputting the electric marketing cue to be distributed into the trained preset model and obtaining the cue level corresponding to the electric marketing cue to be distributed, the method further comprises:
acquiring the tag attributes of historical electric marketing clues and corresponding clue grades;
and training a preset model according to the label attributes of the historical electric sales leads and the corresponding lead grades to obtain the trained preset model.
3. The method according to any one of claims 1-2, wherein after inputting the tag attributes of the electric marketing threads to be assigned into the trained preset model and obtaining the thread grades corresponding to the electric marketing threads to be assigned, the method further comprises:
and correcting the thread grade corresponding to the electricity distribution and marketing thread to be distributed, which is output by the preset model, according to the service characteristics of the electricity marketing thread to be distributed.
4. The method of any of claims 1-3, wherein assigning distribution pin lines to be assigned to the same line class to the same uptake line comprises:
obtaining the conversion rate grade of each receiving line;
configuring a corresponding relation between the clue grade and the conversion rate grade;
and distributing the distribution marketing lines to be distributed in the same line grade to the receiving lines with the conversion rate grade corresponding to the line grade according to the corresponding relation.
5. The method of any of claims 1-4, wherein obtaining the conversion rating for each stub line comprises:
in a first preset time period, averagely distributing the distribution and marketing lines to be distributed of all line levels to all carrying lines;
acquiring the actual conversion rate of each supporting line to-be-distributed power distribution marketing line;
and dividing the adapting line into different conversion rate grades according to the actual conversion rate.
6. The method of any of claims 1-5, wherein the tag attributes comprise: age, gender, family structure, behavior information for the product.
7. An apparatus for adapting a route determination strategy based on electrical pin-line conversion, the apparatus comprising:
the model processing module is used for inputting the label attribute of the electric sales thread to be distributed into a trained preset model to obtain the thread grade corresponding to the electric sales thread to be distributed;
the distribution module is used for distributing the distribution pins to be distributed in the same pin grade to the same accepting line;
the acquisition module is used for respectively acquiring the standard conversion rate of the electric marketing lines of each line level and the actual electric marketing conversion rate of the electric marketing lines to be distributed of each line level;
and the generating module is used for determining the excitation strategy of the corresponding adapting line according to the standard conversion rate and the actual conversion rate of the same clue grade.
8. The apparatus of claim 7, further comprising:
the first acquisition module is used for acquiring the tag attributes of the historical electric marketing clues and the corresponding clue grades;
and the training module is used for training a preset model through the label attributes of the historical electric marketing clues and the corresponding clue grades to obtain the trained preset model.
9. The apparatus of claim 8, further comprising:
and the correcting module is used for correcting the thread grade corresponding to the electricity distribution and marketing thread to be distributed, which is output by the preset model, according to the service characteristics of the electricity marketing thread to be distributed.
10. The apparatus of claim 7, wherein the assignment module comprises:
the sub-acquisition module is used for acquiring the conversion rate grade of each receiving line;
the configuration module is used for configuring the corresponding relation between the clue grade and the conversion rate grade;
and the sub-distribution module is used for distributing the distribution sales line to be distributed with the same line grade to the receiving line with the conversion rate grade corresponding to the line grade according to the corresponding relation.
11. The apparatus of claim 10, wherein the sub-acquisition module comprises:
the first distribution module is used for averagely distributing the distribution and marketing lines to be distributed of all line levels to all receiving lines in a first preset time period;
the second acquisition module is used for acquiring the actual conversion rate of each accepting line to the to-be-distributed distribution marketing line;
and the classification module is used for classifying the carrying lines into different conversion rate grades according to the actual conversion rate.
12. The apparatus of claim 7, wherein the tag attributes comprise: age, gender, family structure, behavior information for the product.
13. An electronic device, comprising:
a processor; and
a memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1-6.
14. A computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement the method of any of claims 1-6.
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