CN112348556A - Channel resource consumption optimization method and device and electronic equipment - Google Patents
Channel resource consumption optimization method and device and electronic equipment Download PDFInfo
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Abstract
The invention discloses a channel resource consumption optimization method, a channel resource consumption optimization device and electronic equipment, wherein the method comprises the following steps: acquiring a current channel statistical mode according to the channel contract mapping relation; respectively acquiring click registration data and conversion data of a current channel; determining click registration resource consumption and conversion resource consumption of each time segment of the current channel according to the current channel statistical mode, the click registration data and the conversion data; and sequencing and optimizing the click registration resource consumption and the conversion resource consumption of each time period. The invention can sequence and optimize the click registration resource consumption and the conversion resource consumption of each time section of the current channel, and is convenient for business personnel to position which time section has better resource consumption and which channel has better total resource consumption in all channels, thereby realizing the optimization of channel resource consumption and effectively reducing the channel resource consumption.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a channel resource consumption optimization method, a channel resource consumption optimization device, electronic equipment and a computer readable medium.
Background
Channel contracts are contracts about channel collaboration. In the advertisement putting process, the statistical modes in the channel contract can be divided into two types: front-end statistics and back-end statistics. The front-end statistics is carried out according to the display amount of the advertisement front end, and has no direct relation with the number of the acquired customers; and the back-end statistics is statistics according to the user conversion amount brought by the advertisement and has a direct relation with the number of the acquired customers.
In order to reduce the consumption of advertisement delivery resources, the channel resource consumption generated by the advertisement delivery resources needs to be optimized no matter the advertisement delivery resources are subjected to front-end statistics or back-end statistics, but no method for optimizing the channel resource consumption generated by the back-end statistics exists in the prior art.
Disclosure of Invention
The invention aims to solve the technical problem that channel resource consumption generated by a back-end statistical mode cannot be optimized.
In order to solve the above technical problem, a first aspect of the present invention provides a channel resource consumption optimization method, where the method includes:
acquiring a current channel statistical mode according to the channel contract mapping relation;
respectively acquiring click registration data and conversion data of a current channel;
determining click registration resource consumption and conversion resource consumption of each time segment of the current channel according to the current channel statistical mode, the click registration data and the conversion data;
and sequencing and optimizing the click registration resource consumption and the conversion resource consumption of each time period.
According to a preferred embodiment of the present invention, the obtaining of the current channel statistical manner according to the channel contract mapping relationship includes:
a many-to-one channel contract mapping relation is created according to the channel information and the contract information,
and acquiring a statistical mode and a deceleration mode of the current channel according to the channel contract mapping relation.
According to a preferred embodiment of the present invention, the acquiring click registration data of the current channel includes:
acquiring click data of each time segment of a current channel according to the advertisement page buried point;
and acquiring registration data of each time slot of the current channel according to the registration operation of the advertisement page user.
According to a preferred embodiment of the present invention, the acquiring the conversion data of the current channel includes:
judging whether a user generates a conversion action within a preset time period after registering an APP;
if the user generates a conversion action within a preset time period after registering the APP, determining conversion data of the user in the current channel according to the conversion action;
and determining the conversion data of each time section of the current channel according to the conversion data of each user in the current channel.
According to a preferred embodiment of the present invention, if the user does not perform the conversion operation within the predetermined time period after registering the APP and performs the conversion operation outside the predetermined time period after registering the APP, it is determined whether the user touches other channels within the predetermined time period;
if the user touches other channels within the preset time period, determining conversion data of the user in other channels according to conversion actions occurring outside the preset time period;
and if the user does not reach other channels within the preset time period, determining conversion data of the natural channel according to the conversion action occurring outside the preset time period.
According to a preferred embodiment of the invention, the method further comprises:
and performing sequencing optimization on the total click registration resource consumption and the total conversion resource consumption of each channel.
According to a preferred embodiment of the present invention, the conversion action includes downloading and logging in any one of APP, finished part, credit and debit.
In order to solve the above technical problem, a second aspect of the present invention provides a channel resource consumption optimizing apparatus, comprising:
the first acquisition module is used for acquiring a current channel statistical mode according to the channel contract mapping relation;
the second acquisition module is used for respectively acquiring click registration data and conversion data of the current channel;
the determining module is used for determining click registration resource consumption and conversion resource consumption of each time segment of the current channel according to the current channel statistical mode, the click registration data and the conversion data;
and the first sequencing optimization module is used for sequencing and optimizing the click registration resource consumption and the conversion resource consumption of each time period.
According to a preferred embodiment of the present invention, the first obtaining module includes:
a creating module for creating a many-to-one channel contract mapping relation according to the channel information and the contract information,
and the sub-acquisition module is used for acquiring the statistical mode and the deceleration mode of the current channel according to the channel contract mapping relation.
According to a preferred embodiment of the present invention, the second obtaining module includes a click registration obtaining module and a conversion obtaining module, and the click registration obtaining module includes:
the first sub-acquisition module is used for acquiring click data of each time slot of the current channel according to the embedded point of the advertisement page;
and the second sub-acquisition module is used for acquiring the registration data of each time slot of the current channel according to the registration operation of the advertisement page user.
According to a preferred embodiment of the present invention, the conversion obtaining module includes:
the first judgment module is used for judging whether a user generates conversion action within a preset time period after registering the APP;
the first determining module is used for determining conversion data of the user in the current channel according to the conversion action if the user generates the conversion action within a preset time period after registering the APP.
According to a preferred embodiment of the present invention, the transformation obtaining module further includes:
the second judgment module is used for judging whether the user touches other channels within the preset time period if the user does not perform the conversion action within the preset time period after registering the APP and performs the conversion action outside the preset time period after registering the APP;
the first sub-determination module is used for determining conversion data of the user in other channels according to conversion actions occurring outside the preset time period if the user touches other channels within the preset time period;
and the second sub-determination module is used for determining conversion data of the natural channel according to the conversion action occurring outside the preset time period if the user does not touch other channels within the preset time period.
According to a preferred embodiment of the invention, the device further comprises:
and the second sequencing optimization module is used for sequencing and optimizing the total click registration resource consumption and the total conversion resource consumption of each channel.
According to a preferred embodiment of the present invention, the conversion action includes downloading and logging in any one of APP, finished part, credit and debit.
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.
In order to solve the above technical problem, a fourth aspect of the present invention proposes a computer-readable storage medium, wherein the computer-readable storage medium stores one or more programs that, when executed by a processor, implement the above method.
The method comprises the steps of obtaining a current channel statistical mode according to a channel contract mapping relation; simultaneously, click registration data and conversion data of the current channel are respectively obtained; determining click registration resource consumption and conversion resource consumption of each time segment of the current channel according to the current channel statistical mode, the click registration data and the conversion data; the resource consumption of click registration and resource conversion of each time slot of the current channel is sequenced and optimized, so that business personnel can conveniently position which time slot has better resource consumption of each channel and which channel has better total resource consumption in all channels, thereby realizing the optimization of channel resource consumption and effectively reducing the channel resource consumption.
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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 flow chart of a channel resource consumption optimization method according to the present invention;
FIG. 2 is a schematic diagram of a channel contract mapping relationship of the present invention;
FIG. 3 is a schematic flow chart of the present invention for obtaining conversion data of a current channel;
FIG. 4 is a schematic representation of current channel T-day conversion data of the present invention;
FIG. 5 is a schematic structural framework diagram of a channel resource consumption optimization device according to the present invention;
FIG. 6 is a block diagram of an exemplary embodiment of an electronic device in accordance with the present invention;
FIG. 7 is a diagrammatic representation 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 network and/or processor methods and/or microcontroller methods.
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.
As used herein, resource refers to any substance, time, or information that may be utilized, and information resources include various types of data, including computing resources and data. Resource consumption refers to the amount of material, time, or information consumed or used.
Referring to fig. 1, fig. 1 is a flow chart illustrating a channel resource consumption optimization method according to the present invention, which is applied to the optimization of channel resource consumption generated in a back-end statistics manner, wherein the back-end statistics are statistics according to the user conversion amount brought by advertisements. As shown in fig. 1, the method includes:
s1, acquiring a current channel statistical mode according to the channel contract mapping relation;
in the invention, the back-end statistics is counted according to the user conversion amount brought by the advertisement. Therefore, the current channel statistical mode needs to be obtained according to the channel contract mapping relation. Illustratively, this step includes:
s11, a many-to-one channel contract mapping relation is created according to the channel information and the contract information,
the channel information is used for optimizing channel customer acquisition resource consumption; illustratively, the channel information includes: at least one of a channel category, a channel name, a channel ID, a sub-channel ID, advertisement content, a placement account. The channel broad category includes: the internet channel, the paper media channel, the television channel, the broadcast channel and the outdoor channel. The channel name refers to a specific channel name in a channel category, for example, the internet channel may include the following channel names: APP banners, APP text links, Wap in-site advertisements and mobile internet advertisements; the Wap advertisement in the Wap site is divided into Wap PUSH (mass texting) and Wap site advertisement, and the mobile internet advertisement includes: banner advertisements, screen insertion advertisements, screen opening advertisements, information flow advertisements and bidding advertisements of a search engine mobile terminal. The channel ID is an identifier for identifying the channel category, the sub-channel ID is an identifier for identifying the channel name, and the advertisement content is the advertisement ID, the advertisement design and the advertisement creative contained in the delivered advertisement; the advertisement putting account refers to a user account for putting the advertisement at this time. In the invention, the channel information is mainly used for distinguishing channel optimization strategies such as activity, AB test, functions and the like of the channel.
The contract information is used for optimizing contract resource consumption; illustratively, the contract information includes: contract status, contract name, contract ID, validity time, statistical mode, deceleration mode (reduction mode of resource consumption rate), common loss. The contract status comprises an effective status and an ineffective status, the contract ID is an identifier for identifying the contract name by the user, the effective time is a time period between the contract starting time and the contract ending time, the statistical mode comprises statistical modes of different delivery channels specified in the contract, and the deceleration mode comprises deceleration modes of different delivery channels specified in the contract. The contract information is used for optimizing contract resource consumption, and the information also influences the consumption of customer-obtaining resources of each channel.
In the invention, one contract can correspond to a plurality of channels, but one channel can only correspond to one contract. Specifically, a many-to-one channel contract mapping relationship can be created according to a channel ID in the channel information and a contract ID in the contract information; for example, fig. 2 shows a channel contract mapping relationship, in which a contract ID (r) corresponds to a channel ID (r), and a channel ID (c) to generate a channel contract mapping relationship.
And S12, acquiring the statistical mode and the deceleration mode of the current channel according to the channel contract mapping relation.
Specifically, the contract ID corresponding to the channel ID may be searched in the channel contract mapping relationship according to the channel ID of the current channel. And further acquiring the statistical mode and the deceleration mode of the current channel in the contract information of the contract ID.
S2, respectively acquiring current channel click registration data and conversion data;
the optimization of the channel resource consumption is mainly optimized from the time period and the total channel resource consumption, the channel resource consumption of different channels in the same time period is different, and the channel resource consumption of the same channel in different time periods is also different. Therefore, in the present invention, the click registration data of the current channel may specifically be click registration data of each time segment of the current channel. The time periods may be a plurality of time periods divided from one day, or may be an entire day. For example, a day is divided into a first time period: 0 point to 5 points, second period: 5 point to 11 point, third period: 11 o 'clock to 14 o' clock, fourth time period: 14 to 17, fifth period: 18 o 'clock to 22 o' clock, sixth period: 22 to 23 points. Click registration data of the current channel in the six time periods is obtained in the step. In addition, the division of each time period may also be determined according to the statistical mode and the deceleration mode of the current channel, for example, in a statistical mode, a day is divided into a statistical time period a: point 0 to point 8, statistical time period B: 8-14 points, C statistical time period: 14 to 20 points, D statistical time period: the statistical mode is different from 20 to 23 points in each statistical time period.
The click registration data of the current channel comprises click data of each time segment of the current channel and registration data of each time segment of the current channel, wherein the click data of each time segment of the current channel can be acquired according to the embedded point of the advertisement page; the registration data of each time slot of the current channel can be obtained according to the registration operation of the advertisement page user. The user registration operation may specifically be an operation of inputting registration information by a user.
The conversion data of the current channel is the user quantity which is further converted into product use or purchasers after being registered through the current channel. Taking a credit product as an example, the conversion data of the current channel is user data which is further downloaded and logged in an APP, a finished part, a credit or a resource request after being registered through the current channel. The conversion data of the current channel can be obtained by taking days as units. Illustratively, as shown in fig. 3, the acquiring the conversion data of the current channel includes:
s21, judging whether a user has conversion action within a preset time period after registering APP;
the predetermined time period may be set according to actual needs, such as 30 days after the user registers the APP. The conversion action refers to an action of registering a user to further use or purchase the product through the current channel. Taking a credit product as an example, the conversion action comprises downloading and logging in any one of the APP, the finished part, the credit and the resource request.
S22, if the user has conversion action within a preset time period after registering APP, determining the conversion data of the user in the current channel according to the conversion action;
in one mode, the downloading and logging in of the APP, the finished part, the credit, and the resource request in the conversion action may be regarded as equivalent user conversion, and as long as the user sends the downloading and logging in of the APP, the finished part, the credit, or the resource request, the user may be counted in the conversion data. ,
in another mode, the APP, the finished part, the credit granting and the resource request may be downloaded and logged in the conversion action, and correspond to different tags, respectively, for example, S corresponding to the downloaded and logged in APP, W corresponding to the finished part, X corresponding to the credit granting and Z corresponding to the resource request, when the conversion action of the user is finished, the conversion data of the user in the current channel is W, when the conversion action of the user is the resource request, the conversion data of the user in the current channel is Z, and so on, which are not listed herein. This approach may further subdivide the conversion data into: and downloading the login data, the finished part data, the credit granting data and the resource request data, and then, refining and converting the resource consumption.
Further, the step may also determine conversion data reaching the current channel after registering the APP from the other channel, for example, if a user registering the APP through the other channel performs a conversion action by reaching the current channel after registering for a preset time period, the conversion action of the user is summarized as the current channel. Then, as shown in fig. 4, the conversion data of the current channel for T days includes the sum of the conversion data of the current channel for T days and the conversion data of the current channel for T days. The conversion data of the current channel passing through the current channel in the T day is conversion data of conversion action occurring in the T day within 30 days after the APP is registered through the current channel, and the conversion data of the current channel reaching the T day is conversion data of conversion action occurring in the T day after the APP is registered through other channels and after the APP is registered for 30 days.
S23, if the user does not perform the conversion action within the preset time period after registering the APP and performs the conversion action outside the preset time period after registering the APP, judging whether the user touches other channels within the preset time period;
for example, if the user does not perform the conversion action within 30 days after registering the APP, and performs the conversion action within a certain day after 30 days after registering the APP, it is determined whether the user contacts another channel different from the current channel within 30 days after registering the APP.
S24, if the user touches other channels within the preset time period, determining the conversion data of the user in other channels according to the conversion action occurring outside the preset time period;
for example, if the user reaches another channel different from the current channel within 30 days after registering the APP, the conversion action of the user is categorized as another channel, and the conversion data of the user in the other channel is determined according to the conversion action occurring in a day after the user registers the APP for 30 days, where the determination of the specific conversion data is the same as that in step S12, and is not described herein again.
And S25, if the user does not touch other channels within the preset time period, determining conversion data of the natural channel according to the conversion action occurring outside the preset time period.
For example, if the user reaches another channel that is not different from the current channel within 30 days after registering the APP, the conversion action of the user is categorized as a natural channel, and the conversion data of the user in the natural channel is determined according to the conversion action that occurs in a day 30 days after the user registers the APP, where the determination of the specific conversion data is the same as that in step S12, and is not described herein again.
S3, determining click registration resource consumption and conversion resource consumption of each time segment of the current channel according to the current channel statistical mode, the click registration data and the conversion data;
the resource consumption of click registration in a certain time period can be determined according to the statistical mode of the time period and the click registration data in the time period. The conversion resource consumption can be determined by taking days as a unit according to conversion data and a statistical mode of the current day. For example, in one statistical approach, the statistical approach for a certain time period is: and B, counting the unit time, wherein the click registration data is smaller than A, the unit time is counted a, the click registration data is larger than A and smaller than B, the unit time is counted B, the click registration data is larger than B, and the unit time is counted c.
And S4, performing sequencing optimization on the click registration resource consumption and the conversion resource consumption of each time period.
Specifically, the click registration resource consumption of each time segment of the current channel can be ranked, and the time segment with the optimal click registration resource consumption of the current channel is found for click registration resource consumption optimization. For example, ads are placed during a time period when clicking on the registration resource consumes the best. And sequencing the conversion resource consumption of the current channel every day in one week, and finding the day with the optimal conversion resource consumption of the current channel to optimize the conversion resource consumption.
It should be noted that, the foregoing steps S1 to S3 take the current channel as an example to illustrate that click-to-register resource consumption and conversion resource consumption of each time segment of one channel are determined, and those skilled in the art can obtain click-to-register resource consumption and conversion resource consumption of each time segment of each channel according to the same method. Therefore, the click registration resource consumption and the conversion resource consumption of each channel can be sequenced and optimized, and the channel with the lowest resource consumption is found. Therefore, the click registration resource consumption and the conversion resource consumption of each time period of each channel can be further calculated, the total click registration resource consumption and the total conversion resource consumption of the channel in a first preset time period (within a week, for example) are determined according to the click registration resource consumption and the conversion resource consumption of each time period, and the total click registration resource consumption and the total conversion resource consumption of each channel are ranked and optimized.
Fig. 5 is a schematic structural framework diagram of an apparatus for optimizing channel resource consumption according to the present invention, the apparatus comprising:
a first obtaining module 51, configured to obtain a current channel statistical manner according to a channel contract mapping relationship;
a second obtaining module 52, configured to obtain current channel click registration data and conversion data respectively;
the determining module 53 is configured to determine click registration resource consumption and conversion resource consumption of each time segment of the current channel according to the current channel statistical manner, the click registration data, and the conversion data;
and the first ordering optimization module 54 is configured to perform ordering optimization on the click registration resource consumption and the conversion resource consumption of each time period.
And the second ranking optimization module 55 is configured to perform ranking optimization on the total click registration resource consumption and the total conversion resource consumption of each channel.
In a specific embodiment, the first obtaining module 51 includes:
a creating module 511, configured to create a many-to-one channel contract mapping relationship according to the channel information and the contract information,
and the sub-obtaining module 512 is configured to obtain a statistical manner and a deceleration manner of the current channel according to the channel contract mapping relationship.
The second obtaining module 52 includes a click registration obtaining module 521 and a conversion obtaining module 522, where the click registration obtaining module 521 includes:
the first sub-acquisition module is used for acquiring click data of each time slot of the current channel according to the embedded point of the advertisement page;
and the second sub-acquisition module is used for acquiring the registration data of each time slot of the current channel according to the registration operation of the advertisement page user.
The conversion acquisition module 522 includes:
the first judgment module is used for judging whether a user generates conversion action within a preset time period after registering the APP; and the conversion action comprises any one of downloading and logging in APP, finished products, credit and debit.
The first determining module is used for determining conversion data of the user in the current channel according to the conversion action if the user generates the conversion action within a preset time period after registering the APP.
The second judgment module is used for judging whether the user touches other channels within the preset time period if the user does not perform the conversion action within the preset time period after registering the APP and performs the conversion action outside the preset time period after registering the APP;
the first sub-determination module is used for determining conversion data of the user in other channels according to conversion actions occurring outside the preset time period if the user touches other channels within the preset time period;
and the second sub-determination module is used for determining conversion data of the natural channel according to the conversion action occurring outside the preset time period if the user does not touch other channels within the preset time period.
In the following, embodiments of the electronic device of the invention are described, which may be seen as an implementation in physical form for the above-described method and method embodiments of the invention. Details described in the embodiments of the electronic device of the invention should be regarded as supplementary to the method or method embodiments 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 method or method embodiments.
Fig. 6 is a block diagram of an exemplary embodiment of an electronic device according to the present invention. The electronic device shown in fig. 6 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. 6, the electronic device 600 of the exemplary embodiment is represented in the form of a general-purpose data processing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one storage unit 620, a bus 630 connecting different electronic device components (including the storage unit 620 and the processing unit 610), a display unit 640, and the like.
The storage unit 620 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 610 such that the processing unit 610 performs the steps of various embodiments of the present invention. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203. The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 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 600 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 600 via the external devices 600, and/or enable the electronic device 600 to communicate with one or more other data processing devices (e.g., router, modem, etc.). Such communication can occur via input/output (I/O) interfaces 650, and can also occur via network adapter 660 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 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be appreciated that although not shown in FIG. 6, other hardware and/or software modules may be used in the electronic device 600, 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. 7 is a schematic diagram of one computer-readable medium embodiment of the present invention. As shown in fig. 7, 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. A readable storage medium may be, for example, but not limited to, an electronic device, method, or apparatus 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: acquiring a current channel statistical mode according to the channel contract mapping relation; respectively acquiring click registration data and conversion data of a current channel; determining click registration resource consumption and conversion resource consumption of each time segment of the current channel according to the current channel statistical mode, the click registration data and the conversion data; and sequencing and optimizing the click registration resource consumption and the conversion resource consumption of each time period.
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, method, or apparatus. 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 electronic device, or a computer-readable medium that executes 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, solutions and benefits of the present invention in further detail, it should be appreciated that the present invention is not inherently related to any particular computer, virtual method or electronic device, and that various general-purpose methods may 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 (10)
1. A channel resource consumption optimization method, the method comprising:
acquiring a current channel statistical mode according to the channel contract mapping relation;
respectively acquiring click registration data and conversion data of a current channel;
determining click registration resource consumption and conversion resource consumption of each time segment of the current channel according to the current channel statistical mode, the click registration data and the conversion data;
and sequencing and optimizing the click registration resource consumption and the conversion resource consumption of each time period.
2. The method of claim 1, wherein said obtaining current channel statistics from a channel contract mapping relationship comprises:
a many-to-one channel contract mapping relation is created according to the channel information and the contract information,
and acquiring a statistical mode and a deceleration mode of the current channel according to the channel contract mapping relation.
3. The method of any of claims 1-2, wherein the obtaining click registration data for a current channel comprises:
acquiring click data of each time segment of a current channel according to the advertisement page buried point;
and acquiring registration data of each time slot of the current channel according to the registration operation of the advertisement page user.
4. The method of any of claims 1-3, wherein the obtaining conversion data for a current channel comprises:
judging whether a user generates a conversion action within a preset time period after registering an APP;
if the user generates a conversion action within a preset time period after registering the APP, determining conversion data of the user in the current channel according to the conversion action;
and determining the conversion data of each time section of the current channel according to the conversion data of each user in the current channel.
5. The method according to any one of claims 1-4, wherein if the user does not perform the conversion action within a predetermined time period after registering the APP and performs the conversion action outside the predetermined time period after registering the APP, determining whether the user touches other channels within the predetermined time period;
if the user touches other channels within the preset time period, determining conversion data of the user in other channels according to conversion actions occurring outside the preset time period;
and if the user does not reach other channels within the preset time period, determining conversion data of the natural channel according to the conversion action occurring outside the preset time period.
6. The method according to any one of claims 1-5, further comprising:
and performing sequencing optimization on the total click registration resource consumption and the total conversion resource consumption of each channel.
7. The method according to any one of claims 1-6, wherein the act of converting comprises downloading and logging in any one of APP, completion, credit, and debit.
8. An apparatus for optimizing channel resource consumption, the apparatus comprising:
the first acquisition module is used for acquiring a current channel statistical mode according to the channel contract mapping relation;
the second acquisition module is used for respectively acquiring click registration data and conversion data of the current channel;
the determining module is used for determining click registration resource consumption and conversion resource consumption of each time segment of the current channel according to the current channel statistical mode, the click registration data and the conversion data;
and the first sequencing optimization module is used for sequencing and optimizing the click registration resource consumption and the conversion resource consumption of each time period.
9. 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 1-7.
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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