CN111681112A - Method and device for managing release strategy and electronic equipment - Google Patents
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Abstract
The embodiment of the specification provides a method for managing a delivery strategy, which comprises the steps of determining profit condition data of each delivery channel according to delivery cost data and income data of each delivery channel, screening a target delivery channel by using a constructed channel profit model, and generating the delivery strategy. The method can give consideration to cost and income, and the profit model is utilized to screen the target delivery channel according to the dimensionality of the profit condition, so that the profit level of the delivery strategy can be improved.
Description
Technical Field
The present application relates to the field of internet, and in particular, to a method and an apparatus for managing a launch policy, and an electronic device.
Background
The release of application products and business activities by using channels is an important means for improving the number of users and the activity of the users.
Since the delivery channels are mostly third-party channels, the industry often needs to sign contracts about charging for the delivery services when developing delivery strategies. Therefore, when the delivery policy is formulated, the industry often uses the cost index of the service provider of each delivery channel as a reference to formulate the delivery policy.
Therefore, the release strategy management mode can improve the cost control level.
Disclosure of Invention
The embodiment of the specification provides a method and a device for managing a release strategy and an electronic device, so that the profit level of the release strategy is improved.
An embodiment of the present specification provides a method for managing a delivery policy, including:
acquiring release cost data of each release channel and determining income data of each release channel;
determining profit condition data of each releasing channel according to the obtained releasing cost data and income data of each releasing channel;
constructing a channel profit model, and screening target delivery channels by using the channel profit model and profit condition data of each delivery channel;
and generating a delivery strategy according to the target delivery channel.
Optionally, the acquiring the delivery cost data of each delivery channel and determining the revenue data of each delivery channel includes:
acquiring release cost data of each release channel in real time in time intervals according to a preset time interval and determining income data of each release channel;
the method further comprises the following steps:
and adjusting the releasing strategy in real time according to the change of the profit condition data of each target releasing channel.
Optionally, the method further comprises:
constructing a weight evaluation rule, wherein the weight evaluation rule has a profit scale index and a profit rate index, and is used for evaluating distribution weights of the delivery cost on each delivery channel;
the generating of the delivery strategy according to the target delivery channel further comprises:
and generating a delivery strategy by combining delivery cost distribution weights of all the target delivery channels.
Optionally, the method further comprises:
acquiring user conversion data generated after release in each release channel, determining conversion nodes corresponding to the user conversion data, and configuring a profit coefficient for each conversion node;
the determining the income data of each delivery channel comprises the following steps:
and calculating the profit data of each putting channel based on the profit coefficient of each conversion node and the user conversion data of each putting channel.
Optionally, the configuring the profit coefficient for each conversion node includes:
and configuring a higher profit coefficient for the later conversion node in the business process compared with the earlier conversion node in the business process.
Optionally, the conversion node comprises: registering, completing the parts, applying for credit and granting credit.
Optionally, the method further comprises:
and releasing according to the releasing strategy, acquiring releasing cost data generated by each releasing channel, and correcting the channel profit model by combining the releasing cost data.
Optionally, the obtaining of the delivery cost data of each delivery channel includes:
the method comprises the steps of obtaining user behavior data generated after release in each release channel, and determining release cost data generated in each release channel by using a preset release cost calculation rule and the obtained user behavior data.
An embodiment of the present specification further provides a device for managing a delivery policy, including:
the data acquisition module is used for acquiring the delivery cost data of each delivery channel and determining the income data of each delivery channel;
the strategy management module is used for determining profit condition data of each releasing channel according to the obtained releasing cost data and income data of each releasing channel;
constructing a channel profit model, and screening target delivery channels by using the channel profit model and profit condition data of each delivery channel;
and generating a delivery strategy according to the target delivery channel.
Optionally, the acquiring the delivery cost data of each delivery channel and determining the revenue data of each delivery channel includes:
acquiring release cost data of each release channel in real time in time intervals according to a preset time interval and determining income data of each release channel;
and the strategy management module is also used for adjusting the releasing strategy in real time according to the change of the profit condition data of each target releasing channel.
Optionally, the policy management module is further configured to:
constructing a weight evaluation rule, wherein the weight evaluation rule has a profit scale index and a profit rate index, and is used for evaluating distribution weights of the delivery cost on each delivery channel;
the generating of the delivery strategy according to the target delivery channel further comprises:
and generating a delivery strategy by combining delivery cost distribution weights of all the target delivery channels.
Optionally, the policy management module is further configured to:
acquiring user conversion data generated after release in each release channel, determining conversion nodes corresponding to the user conversion data, and configuring a profit coefficient for each conversion node;
the determining the income data of each delivery channel comprises the following steps:
and calculating the profit data of each putting channel based on the profit coefficient of each conversion node and the user conversion data of each putting channel.
Optionally, the configuring the profit coefficient for each conversion node includes:
and configuring a higher profit coefficient for the later conversion node in the business process compared with the earlier conversion node in the business process.
Optionally, the conversion node comprises: registering, completing the parts, applying for credit and granting credit.
Optionally, the policy management module is further configured to:
and releasing according to the releasing strategy, acquiring releasing cost data generated by each releasing channel, and correcting the channel profit model by combining the releasing cost data.
Optionally, the obtaining of the delivery cost data of each delivery channel includes:
the method comprises the steps of obtaining user behavior data generated after release in each release channel, and determining release cost data generated in each release channel by using a preset release cost calculation rule and the obtained user behavior data.
An embodiment of the present specification further provides an electronic device, where the electronic device includes:
a processor; and the number of the first and second groups,
a memory storing computer-executable instructions that, when executed, cause the processor to perform any of the methods described above.
The present specification also provides a computer readable storage medium, wherein the computer readable storage medium stores one or more programs which, when executed by a processor, implement any of the above methods.
According to various technical schemes provided by the embodiment of the specification, profit condition data of each delivery channel is determined through the obtained delivery cost data and income data of each delivery channel, and a target delivery channel is screened by using the constructed channel profit model to generate a delivery strategy. The method can give consideration to cost and income, and the profit model is utilized to screen the target delivery channel according to the dimensionality of the profit condition, so that the profit level of the delivery strategy can be improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a schematic diagram illustrating a method for managing a placement policy according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an apparatus for managing a placement policy according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of the present specification.
Detailed Description
However, the goal of making a placement is not just to control costs but to obtain profits, and the profit is generated not directly from the placement event itself but directly from the participation of the user in the business, so that it is difficult for the industry to think of making a placement strategy in combination with the profit level when making a placement strategy.
Even if the expected putting effect of different putting channels is known in the industry, the putting effect is often qualitatively analyzed by only one dimension, and in fact, after the putting cost index is combined, the putting strategy with high comprehensive level is difficult to artificially evaluate.
The releasing strategy with poor comprehensive level cannot give consideration to the influence of the profit on the releasing strategy, so that the profit level of the releasing strategy is low.
In view of the above, it is necessary to provide a method for managing a delivery strategy to improve the profitability of the delivery strategy.
An embodiment of the present specification provides a method for managing a delivery policy, including:
acquiring release cost data of each release channel and determining income data of each release channel;
determining profit condition data of each releasing channel according to the obtained releasing cost data and income data of each releasing channel;
constructing a channel profit model, and screening target delivery channels by using the channel profit model and profit condition data of each delivery channel;
and generating a delivery strategy according to the target delivery channel.
And determining profit condition data of each delivery channel according to the obtained delivery cost data and income data of each delivery channel, screening the target delivery channels by using the constructed channel profit model, and generating a delivery strategy. The method can give consideration to cost and income, and the profit model is utilized to screen the target delivery channel according to the dimensionality of the profit condition, so that the profit level of the delivery strategy can be improved.
Exemplary embodiments of the present invention will now be described more fully with reference to the accompanying drawings. The exemplary embodiments, however, may be embodied in many different 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 same reference numerals denote the same or similar elements, components, or parts in the drawings, and thus their repetitive description will be omitted.
Features, structures, characteristics or other details described in a particular embodiment do not preclude the fact that the features, structures, characteristics or other details may be combined in a suitable manner in one or more other embodiments in accordance with the technical idea of the invention.
In describing particular embodiments, the present invention has been described with reference to features, structures, characteristics or other details that are within the purview of one skilled in the art to provide a thorough understanding of the embodiments. One skilled in the relevant art will recognize, however, that the invention may be practiced without one or more of the specific features, structures, characteristics, or other details.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The block diagrams shown in the figures are functional entities only 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 term "and/or" and/or "includes all combinations of any one or more of the associated listed items.
Fig. 1 is a schematic diagram of a method for managing a placement policy according to an embodiment of the present disclosure, where the method may include:
s101, acquiring the delivery cost data of each delivery channel and determining the profit data of each delivery channel.
In this embodiment of the present specification, the delivery cost data of each delivery channel may be evaluated according to a cost index of a provider delivering the service, for example, according to days of delivery, or according to how many times of accesses are generated after delivery, which is not specifically described herein.
Therefore, in this embodiment of the present specification, the acquiring the delivery cost data of each delivery channel may include:
the method comprises the steps of obtaining user behavior data generated after release in each release channel, and determining release cost data generated in each release channel by using a preset release cost calculation rule and the obtained user behavior data.
In this specification embodiment, it is considered that the delivery event cannot directly generate the revenue-related data, but we can evaluate the revenue data according to the correlation between the delivery event data and the revenue.
In an application scenario, the revenue data may refer to how much revenue the delivery channel can bring.
In the embodiment of the present specification, considering that after delivery is implemented, a change of a service state often occurs when a user participates in a service, we may refer to the change as conversion. For users who produce conversions, we can describe with the conversion user node.
Because the conversion node indicates that the business of the user is advanced to a new stage, and the business of the user is not advanced to the new stage, the higher the possibility of bringing income is, the conversion user node and the income have the internal relation, and by using the relation, the user conversion event generated by the putting event can be used for evaluating the income data.
Therefore, in the embodiment of the present specification, the method may further include:
acquiring user conversion data generated after release in each release channel, determining conversion nodes corresponding to the user conversion data, and configuring a profit coefficient for each conversion node;
the determining the income data of each delivery channel comprises the following steps:
and calculating the profit data of each putting channel based on the profit coefficient of each conversion node and the user conversion data of each putting channel.
In consideration of the actual situation, since the revenue generation directly originates from the user at the final node of the service, the more the later nodes, the more the revenue is likely to be brought.
Therefore, in this embodiment of the present specification, the configuring the profit margin for each conversion node may include:
and configuring a higher profit coefficient for the later conversion node in the business process compared with the earlier conversion node in the business process.
Specifically, the conversion node may include: registering, completing the parts, applying for credit and granting credit.
In the embodiment of the present specification, when the delivery policy is formulated, since delivery is not yet implemented, actual conversion effect data of each delivery channel, such as a user conversion rate, a user conversion number, and the like, may be collected according to a historical delivery event.
In the embodiment of the present specification, in order to implement regulation and control on the delivery policy, the delivery cost data may be obtained in real time, and the revenue data of each delivery channel is determined, so as to adjust the delivery policy based on the revenue data.
Therefore, in this embodiment of the present specification, the acquiring cost of delivery data of each delivery channel and determining revenue data of each delivery channel may include:
and acquiring the releasing cost data of each releasing channel in real time in time intervals according to a preset time interval and determining the profit data of each releasing channel.
S102: and determining profit condition data of each releasing channel according to the obtained releasing cost data and income data of each releasing channel.
After the putting cost data and the income data of each putting channel are obtained, the profit condition data of each putting channel can be calculated according to the putting cost data and the income data.
In an embodiment of the present description, the profitability status data may comprise profitability scale data, such as how much profit each delivery channel can bring.
In the embodiment of the present specification, the profit situation data may also include profit margin data, so that the profit margin data may describe how much profit each delivery channel unit delivers for the cost of delivery.
S103: and constructing a channel profit model, and screening the target delivery channels by using the channel profit model and profit condition data of each delivery channel.
In the embodiment of the present specification, a channel profit model may be constructed in advance, and is used to process profit status data of each delivery channel, and screen out a target management channel that meets a resource management policy.
The resource management policy may be a policy of profit size alone or a policy of profit margin alone. Even more, the resource management policy may be a resource management policy obtained by comprehensively evaluating the profitability and then balancing the profitability and the profitability.
S104: and generating a delivery strategy according to the target delivery channel.
And determining profit condition data of each delivery channel according to the obtained delivery cost data and income data of each delivery channel, screening the target delivery channels by using the constructed channel profit model, and generating a delivery strategy. The method can give consideration to cost and income, and the profit model is utilized to screen the target delivery channel according to the dimensionality of the profit condition, so that the profit level of the delivery strategy can be improved.
Considering that a plurality of target delivery channels meeting the resource management policy may be screened out during delivery, in the actual delivery policy, the delivery cost needs to be specifically controlled, and in order to improve the profit level of the delivery policy, the delivery cost weights to be distributed by different target delivery channels are also different.
Therefore, in the embodiment of the present specification, the method may further include:
constructing a weight evaluation rule, wherein the weight evaluation rule has a profit scale index and a profit rate index, and is used for evaluating distribution weights of the delivery cost on each delivery channel;
the generating of the delivery strategy according to the target delivery channel further comprises:
and generating a delivery strategy by combining delivery cost distribution weights of all the target delivery channels.
Of course, the weight evaluation rule for evaluating the distribution weight of the delivery cost on each delivery channel may also be configured to the channel profit model, so that the profit status data of each delivery channel is processed by using the channel profit model, which target delivery channels and the delivery cost distribution weight of each target delivery channel can be directly obtained, and detailed description is omitted here.
In this embodiment of the present specification, if acquiring the delivery cost data of each delivery channel and determining the revenue data of each delivery channel in S101 includes:
acquiring release cost data of each release channel in real time in time intervals according to a preset time interval and determining income data of each release channel;
then, the method may further comprise:
and adjusting the releasing strategy in real time according to the change of the profit condition data of each target releasing channel.
Therefore, the releasing strategy for releasing is not invariable after being initially formulated, and can be adjusted according to the actual profit condition of the releasing event, so that the flexibility of managing the releasing strategy is increased.
In consideration of the full mining and utilization of data, the data can be collected after the delivery is carried out, and the channel profit model is corrected to be more consistent with the actual situation.
Therefore, in the embodiment of the present specification, the method may further include:
and releasing according to the releasing strategy, acquiring releasing cost data generated by each releasing channel, and correcting the channel profit model by combining the releasing cost data.
In an application scenario, when a delivery strategy is formulated, data references provided by delivery services are acquired, relevant data about delivery cost is acquired, user conversion effects of delivery channels are acquired, profits brought by the user conversion effects are estimated according to preset rules, delivery cost corresponding to the delivery channels and profit condition data brought by the estimated profits are analyzed, target delivery channels are screened according to the dimensionality of profit levels by using a constructed channel profit model, the delivery cost weight of each delivery channel is determined, and the delivery strategy is formulated according to the method.
Fig. 2 is a schematic structural diagram of an apparatus for managing a placement policy according to an embodiment of the present disclosure, where the apparatus may include:
the data acquisition module 201 is used for acquiring the delivery cost data of each delivery channel and determining the income data of each delivery channel;
the strategy management module 202 is used for determining profit condition data of each delivery channel according to the acquired delivery cost data and income data of each delivery channel;
constructing a channel profit model 203, and screening target delivery channels by using the channel profit model and profit condition data of each delivery channel;
and generating a delivery strategy according to the target delivery channel.
In an embodiment of this specification, the acquiring cost of delivery data of each delivery channel and determining revenue data of each delivery channel may include:
acquiring release cost data of each release channel in real time in time intervals according to a preset time interval and determining income data of each release channel;
the policy management module 202 is further configured to adjust the delivery policy in real time according to a change of the profit condition data of each target delivery channel.
In this embodiment, the policy management module 202 may further be configured to:
constructing a weight evaluation rule, wherein the weight evaluation rule has a profit scale index and a profit rate index, and is used for evaluating distribution weights of the delivery cost on each delivery channel;
the generating of the delivery policy according to the target delivery channel may further include:
and generating a delivery strategy by combining delivery cost distribution weights of all the target delivery channels.
In this embodiment, the policy management module 202 may further be configured to:
acquiring user conversion data generated after release in each release channel, determining conversion nodes corresponding to the user conversion data, and configuring a profit coefficient for each conversion node;
the determining the revenue data of each delivery channel may include:
and calculating the profit data of each putting channel based on the profit coefficient of each conversion node and the user conversion data of each putting channel.
In this embodiment, configuring the profit coefficient for each conversion node may include:
and configuring a higher profit coefficient for the later conversion node in the business process compared with the earlier conversion node in the business process.
In an embodiment of the present specification, the conversion node includes: registering, completing the parts, applying for credit and granting credit.
In this embodiment, the policy management module 202 may further be configured to:
and releasing according to the releasing strategy, acquiring releasing cost data generated by each releasing channel, and correcting the channel profit model by combining the releasing cost data.
In an embodiment of this specification, the acquiring the delivery cost data of each delivery channel may include:
the method comprises the steps of obtaining user behavior data generated after release in each release channel, and determining release cost data generated in each release channel by using a preset release cost calculation rule and the obtained user behavior data.
In an application scenario, when a delivery strategy is formulated, data references provided by delivery services are acquired, relevant data about delivery cost is acquired, user conversion effects of delivery channels are acquired, profits brought by the user conversion effects are estimated according to preset rules, delivery cost corresponding to the delivery channels and profit condition data brought by the estimated profits are analyzed, target delivery channels are screened according to the dimensionality of profit levels by using a constructed channel profit model, the delivery cost weight of each delivery channel is determined, and the delivery strategy is formulated according to the method.
The device determines profit condition data of each delivery channel according to the obtained delivery cost data and income data of each delivery channel, screens the target delivery channel by using the constructed channel profit model, and generates a delivery strategy. The method can give consideration to cost and income, and the profit model is utilized to screen the target delivery channel according to the dimensionality of the profit condition, so that the profit level of the delivery strategy can be improved.
Based on the same inventive concept, the embodiment of the specification further provides the electronic equipment.
In the following, embodiments of the electronic device of the present invention are described, which may be regarded as specific physical implementations 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. 3 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure. An electronic device 300 according to this embodiment of the invention is described below with reference to fig. 3. The electronic device 300 shown in fig. 3 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. 3, electronic device 300 is embodied in the form of a general purpose computing device. The components of electronic device 300 may include, but are not limited to: at least one processing unit 310, at least one memory unit 320, a bus 330 connecting the various system components (including the memory unit 320 and the processing unit 310), a display unit 340, and the like.
Wherein the storage unit stores program code executable by the processing unit 310 to cause the processing unit 310 to perform the steps according to various exemplary embodiments of the present invention described in the above-mentioned processing method section of the present specification. For example, the processing unit 310 may perform the steps as shown in fig. 1.
The storage unit 320 may include readable media in the form of volatile storage units, such as a random access memory unit (RAM)3201 and/or a cache storage unit 3202, and may further include a read only memory unit (ROM) 3203.
The storage unit 320 may also include a program/utility 3204 having a set (at least one) of program modules 3205, such program modules 3205 including, but not limited to: an operating system, 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 300 may also communicate with one or more external devices 400 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 300, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 300 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 350. Also, the electronic device 300 may communicate 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) via the network adapter 360. Network adapter 360 may communicate with other modules of electronic device 300 via bus 330. It should be appreciated that although not shown in FIG. 3, other hardware and/or software modules may be used in conjunction with electronic device 300, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
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 computing 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 program, when executed by a data processing apparatus, enables the computer readable medium to implement the above-described method of the invention, namely: such as the method shown in fig. 1.
Fig. 4 is a schematic diagram of a computer-readable medium provided in an embodiment of the present specification.
A computer program implementing the method shown in fig. 1 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. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination 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 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 system, 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 for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "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 invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components in embodiments in accordance with the invention may be implemented in practice using a general purpose data processing device such as a microprocessor or a Digital Signal Processor (DSP). The present invention may also be embodied as an apparatus or device program for performing a portion or all of the methods described herein
(e.g., computer programs and computer program products). Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
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.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method of managing a placement strategy, comprising:
acquiring release cost data of each release channel and determining income data of each release channel;
determining profit condition data of each releasing channel according to the obtained releasing cost data and income data of each releasing channel;
constructing a channel profit model, and screening target delivery channels by using the channel profit model and profit condition data of each delivery channel;
and generating a delivery strategy according to the target delivery channel.
2. The method of claim 1, wherein obtaining placement cost data for each placement channel and determining revenue data for each placement channel comprises:
acquiring release cost data of each release channel in real time in time intervals according to a preset time interval and determining income data of each release channel;
the method further comprises the following steps:
and adjusting the releasing strategy in real time according to the change of the profit condition data of each target releasing channel.
3. The method according to any one of claims 1-2, further comprising:
constructing a weight evaluation rule, wherein the weight evaluation rule has a profit scale index and a profit rate index, and is used for evaluating distribution weights of the delivery cost on each delivery channel;
the generating of the delivery strategy according to the target delivery channel further comprises:
and generating a delivery strategy by combining delivery cost distribution weights of all the target delivery channels.
4. The method according to any one of claims 1-3, further comprising:
acquiring user conversion data generated after release in each release channel, determining conversion nodes corresponding to the user conversion data, and configuring a profit coefficient for each conversion node;
the determining the income data of each delivery channel comprises the following steps:
and calculating the profit data of each putting channel based on the profit coefficient of each conversion node and the user conversion data of each putting channel.
5. The method according to any one of claims 1-4, wherein configuring a profitability factor for each conversion node comprises:
and configuring a higher profit coefficient for the later conversion node in the business process compared with the earlier conversion node in the business process.
6. The method according to any of claims 1-5, wherein the conversion node comprises: registering, completing the parts, applying for credit and granting credit.
7. The method according to any one of claims 1-6, further comprising:
and releasing according to the releasing strategy, acquiring releasing cost data generated by each releasing channel, and correcting the channel profit model by combining the releasing cost data.
8. An apparatus for managing placement strategies, comprising:
the data acquisition module is used for acquiring the delivery cost data of each delivery channel and determining the income data of each delivery channel;
the strategy management module is used for determining profit condition data of each releasing channel according to the obtained releasing cost data and income data of each releasing channel;
constructing a channel profit model, and screening target delivery channels by using the channel profit model and profit condition data of each delivery channel;
and generating a delivery strategy according to the target delivery channel.
9. An electronic device, wherein the electronic device comprises:
a processor; and the number of the first and second groups,
a memory storing computer-executable instructions that, when executed, cause the processor to perform the method of any of claims 1-7.
10. 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 1-7.
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Application publication date: 20200918 |