CN111091402A - Value data adjusting method and device, electronic equipment and readable medium - Google Patents
Value data adjusting method and device, electronic equipment and readable medium Download PDFInfo
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Abstract
The embodiment of the disclosure discloses a value data adjusting method and device, electronic equipment and a readable medium. The method comprises the following steps: when the trigger condition of bid adjustment is met, acquiring the flow grade of the target flow; determining a price adjustment pre-estimation ROI of a flow grade of the target flow; and determining a bid adjusting mode for the flow grade of the target flow according to the estimated ROI of the price adjustment. By adopting the technical scheme provided by the disclosure, the effect of creating higher value for the user through price adjustment can be realized.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of data processing, and in particular relates to a value data adjusting method and device, an electronic device and a readable medium.
Background
Currently, many business related activities are implemented through bidding systems. How to bid and how to adjust in a bidding system becomes a direct factor of whether bidding is successful or not and whether revenue maximization is brought about or not.
The definition of ROI (Return On investment) is the value that should be returned by an investment, i.e., the economic return that an enterprise receives from an investment in an invested business. Calculating the formula: ROI is profit/investment x 100%, which is reduced in some systems to revenue/expenditure. Since a certain amount of information, such as the traffic (PV) is bought (cost) and sold to the (income) user, the profit becomes income-cost, and the ROI becomes income/cost, for example, when the ROI becomes 1.2, where 0.2 is the operating cost of the platform, the platform is in a state of no profit.
Sometimes incremental purchases are made to meet the user's needs. In the prior art, the method is adopted to buy the traffic with different degrees of quality and quality by increasing a certain factor, so that higher value can be generated for the high-quality traffic, and the high-cost buying for the poor-quality traffic cannot bring great value to the information-releasing user. Therefore, in the prior art, the purchase of the flow with unified price adjustment is simple and rough, and the value cannot be actually expanded for the user.
Disclosure of Invention
The embodiment of the disclosure provides a value data adjusting method and device, an electronic device and a readable medium, which can achieve the effect of creating a larger value for a user through price adjustment.
In a first aspect, an embodiment of the present disclosure provides a value data adjusting method, where the method includes:
when the trigger condition of bid adjustment is met, acquiring the flow grade of the target flow;
determining a price adjustment pre-estimation ROI of a flow grade of the target flow;
and determining a bid adjusting mode for the flow grade of the target flow according to the estimated ROI of the price adjustment.
Further, when a trigger condition of bid adjustment is met, acquiring a traffic level of the target traffic, including:
when the trigger condition of bid adjustment is met, evaluating the target flow by using a flow evaluation system;
and determining the flow grade of the target flow according to the evaluation result.
Further, the target flow is evaluated by using a flow evaluation system, which includes:
acquiring a current ROI of target flow and a current auction participation amount;
and evaluating the target flow by using a flow evaluation system according to the current ROI of the target flow and the current auction participation amount.
Further, determining a price adjustment forecast ROI for a flow level of the target flow, comprising:
and determining the proportion of income and expenditure of the purchase increment generated on the basis of the current purchase amount of the target flow according to the historical data, and determining the price adjustment estimated ROI of the flow grade of the target flow.
Further, determining a price adjustment forecast ROI for a flow level of the target flow, comprising:
performing preliminary bid adjustment on the target flow, and determining a purchase increment generated on the basis of the current purchase amount of the target flow;
and determining a price adjustment estimated ROI of the flow grade of the target flow according to the proportion of the income and the expense of the purchase increment.
Further, determining a bid adjustment mode for the flow grade of the target flow according to the estimated ROI of the price adjustment, comprising:
determining an adjustment bid multiple or an adjustment bid value of the flow grade of the target flow according to the price adjustment estimated ROI;
and adjusting the bid of the flow grade of the target flow according to the adjustment bid multiple or the adjustment bid value.
In a second aspect, an embodiment of the present disclosure further provides a value data adjusting apparatus, where the apparatus includes:
the flow grade acquisition module is used for acquiring the flow grade of the target flow when the triggering condition of bid adjustment is met;
the estimated ROI determining module is used for determining a price adjustment estimated ROI of the flow grade of the target flow;
and the bid adjusting module is used for adjusting the pre-estimated ROI according to the price and determining a bid adjusting mode for the flow grade of the target flow.
Further, the traffic class obtaining module includes:
the target flow evaluation unit is used for evaluating the target flow by using the flow evaluation system when the trigger condition of bid adjustment is met;
and the flow grade determining unit is used for determining the flow grade of the target flow according to the evaluation result.
Further, the target flow rate evaluation unit includes:
the target flow current data acquisition subunit is used for acquiring the current ROI of the target flow and the current auction participation amount;
and the target flow evaluation subunit is used for evaluating the target flow by using the flow evaluation system according to the current ROI of the target flow and the current auction participation amount.
Further, the predicted ROI determining module includes:
and the first pre-estimated ROI determining unit is used for determining the proportion of income and expense of a purchase increment generated on the basis of the current purchase amount of the target flow according to the historical data and determining the price adjustment pre-estimated ROI as the flow grade of the target flow.
Further, the predicted ROI determining module includes:
the purchase increment acquisition unit is used for carrying out preliminary bid adjustment on the target flow and determining the purchase increment generated on the basis of the current purchase amount of the target flow;
and the second pre-estimated ROI determining unit is used for determining the price adjustment pre-estimated ROI of the flow grade of the target flow according to the proportion of the income and the expense of the purchase increment.
Further, the bid adjustment module includes:
the adjustment grade determining unit is used for determining an adjustment bid multiple or an adjustment bid value of the flow grade of the target flow according to the estimated ROI of price adjustment;
and the bid adjusting unit is used for adjusting the bid of the flow grade of the target flow according to the adjusted bid multiple or the adjusted bid value.
In a third aspect, an embodiment of the present disclosure provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the value data adjusting method according to the embodiment of the present disclosure.
In a fourth aspect, the disclosed embodiments provide a computer-readable medium on which a computer program is stored, which when executed by a processor, implements a value data adjusting method according to the disclosed embodiments.
According to the technical scheme provided by the embodiment of the disclosure, when the trigger condition of bid adjustment is met, the flow grade of the target flow is obtained; determining a price adjustment pre-estimation ROI of a flow grade of the target flow; and determining a bid adjusting mode for the flow grade of the target flow according to the estimated ROI of the price adjustment. By adopting the technical scheme provided by the disclosure, the effect of creating higher value for the user through price adjustment can be realized.
Drawings
FIG. 1 is a flow chart of a method for adjusting value data according to an embodiment of the present disclosure;
FIG. 2 is a schematic structural diagram of a value data adjusting device according to a second embodiment of the disclosure;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not limiting of the disclosure. It should be further noted that, for the convenience of description, only some of the structures relevant to the present disclosure are shown in the drawings, not all of them.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
In the following embodiments, optional features and examples are provided in each embodiment, and various features described in the embodiments may be combined to form a plurality of alternatives, and each numbered embodiment should not be regarded as only one technical solution.
Example one
Fig. 1 is a flowchart of a value data adjusting method provided in a first embodiment of the present disclosure, where the present embodiment is applicable to a case of adjusting value data, and the method may be executed by a value data adjusting apparatus provided in the first embodiment of the present disclosure, where the apparatus may be implemented by software and/or hardware, and may be integrated in an electronic device such as a terminal, a client, and a server for adjusting value data.
As shown in fig. 1, the value data adjusting method includes:
and S110, acquiring the flow grade of the target flow when the trigger condition of the bid adjustment is met.
The target traffic may only include one traffic, or may include a plurality of traffics. For example, a user, which may be a company, has already determined information placement for one or more of all traffic flows, and the user currently only wants to add additional funds placement to increase the placement amount, then the user may determine one or more of the traffic flows previously as the target traffic flow. In this embodiment, it may be due to the increase or decrease of funds, or due to the change of the user's target for delivering traffic, etc., and it may be a trigger condition for adjusting bids as long as the user needs to change the currently purchased traffic and the delivering speed. In this case, a bid adjustment scheme needs to be determined for the user. Since in the area of traffic purchasing, the bidding principle is to buy at the highest price and pay at the next highest price. There is therefore a need to determine the optimal bid adjustment strategy for the user, resulting in a maximized effect of revenue.
In this embodiment, it is preferable that, when the trigger condition of the bid adjustment is satisfied, the target traffic is evaluated by using the traffic evaluation system; and determining the flow grade of the target flow according to the evaluation result.
Wherein the flow rate evaluation system may be a stand-alone system that is used only to evaluate the level of flow. Specifically, the system can be utilized to determine the flow rate grade of the target flow rate according to the bid price, the actual purchase price, the click-through rate, the conversion rate and other information of the target flow rate. Illustratively, three levels of a good level, a medium level and a bad level can be defined for all the traffic, and the three levels can be divided by the click rate of 10% and 5%. When the click rate of the target flow is greater than or equal to 10%, determining that the grade of the current target flow is excellent; when the click rate of the target flow is less than 10% and greater than or equal to 5%, determining that the grade of the current target flow is medium; when the click rate of the target traffic is less than 5%, it may be determined that the current level of the target traffic is poor.
In this embodiment, preferably, the evaluating the target flow rate by using the flow rate evaluating system includes: acquiring a current ROI of target flow and a current auction participation amount; and evaluating the target flow by using a flow evaluation system according to the current ROI of the target flow and the current auction participation amount.
Wherein the current participation auction volume may be the number of participating users for one target traffic. The current ROI of the target flow is the ROI of the flow purchased currently, and the more the number of users participating in the auction is, the more competition of the current target flow is shown to be stronger, and the higher quality of the current flow can also be reflected. Therefore, the traffic grade evaluation can be performed by using the traffic evaluation system according to the two data. Of course the present embodiment is not limited to using only these two data for evaluation. The advantage of this scheme setting like this lies in can utilizing the flow evaluation system, and the result of assessing the grade of flow is more accurate.
And S120, determining the price adjustment estimated ROI of the flow grade of the target flow.
The estimated ROI for price adjustment of the target flow rate class can be obtained in various ways, for example, when the ROI of other flow rates of the same class is known, the ROI of the target flow rate can be estimated by the ROI of other flow rates, so as to obtain the estimated ROI of the target flow rate.
In the present embodiment, the ROIs of all the flows in each flow level may be the same or different from each other, but in the present embodiment, the ROIs of each flow level may be determined to be the same from the viewpoint of simplifying the calculation data amount.
In this embodiment, only the traffic purchased by the user may be concerned, because the traffic determined for the user is often the traffic that is already suitable for the user to drop the message, and the effect is better. Then, the traffic that the user has purchased may be ranked, for example, by using a traffic evaluation system to score several purchased traffic to determine the traffic rank, in this case, it is often the case that the user has purchased how many traffic and how many ranks there are, and there is no other traffic of the same rank that can know the ROI, in such a case, the ROI of the purchased traffic needs to be estimated. The disclosed embodiments provide two ways to predict the ROI of the purchased traffic.
In this embodiment, preferably, the determining the price adjustment forecast ROI of the flow rate class of the target flow rate includes: and determining the proportion of income and expenditure of the purchase increment generated on the basis of the current purchase amount of the target flow according to the historical data, and determining the price adjustment estimated ROI of the flow grade of the target flow.
The purchase increment may be the number of more purchases of the current traffic after adjusting the bid. If the bid for the target flow is 10 dollars and the bid amount is 1000, then it is possible that 500 of them is 9.5 dollars and another 500 is 8 dollars. There is a 12-tuple record of the bids in the historical bids, which is equivalent to a 2-tuple increase over the current bid, with a possible 12-tuple bid amount of traffic being purchased of 1300, 300 of which may have been paid at the actual 11-tuple price. In this case, the 300 flows are purchase increments, and the present embodiment can use the historical data to predict the number of purchase increments and the ROI of purchase increments for the target flow. This has the advantage that historical data can be imported to calculate a predicted ROI for the target flow. The calculation difficulty is simplified, meanwhile, the calculation efficiency is improved, and after the estimated ROI is obtained, a data basis can be provided for subsequent price adjustment. The method can effectively avoid the mode of uniformly adjusting the price of all the flows like the prior art.
In this embodiment, preferably, the determining the price adjustment forecast ROI of the flow rate class of the target flow rate includes: performing preliminary bid adjustment on the target flow, and determining a purchase increment generated on the basis of the current purchase amount of the target flow; and determining a price adjustment estimated ROI of the flow grade of the target flow according to the proportion of the income and the expense of the purchase increment.
In the technical scheme, the price of the target flow can be adjusted in a preliminary bidding mode, so that actual data of the purchase increment of the current target flow and the income-to-expenditure proportion of the current purchase increment can be obtained, and the estimated ROI of the flow grade of the target flow is determined on the basis of the actual data. The advantage of this embodiment is that the current actual predicted ROI can be obtained, and the advantage of this embodiment is that the accuracy of the data determination process of the predicted ROI can be improved.
S130, according to the estimated ROI of the price adjustment, determining a bid adjustment mode for the flow grade of the target flow.
After the estimated ROI of each target flow is obtained, a bid adjustment strategy for each target ROI can be determined according to the numerical value of the estimated ROI of each target flow. For example, if the predicted ROIs for the three levels of good, medium, and bad are respectively high, then a pricing strategy for increasing the purchase amount for the target traffic of the level may be determined. For example, the original bid of 10 dollars may be increased to 15 dollars as appropriate. If the predicted ROI of a certain target traffic class is low, a price-adjusting strategy for keeping the original purchase amount or reducing the purchase amount can be determined for the target traffic class. If the original price is 8 yuan, the price can be kept unchanged by 8 yuan or even reduced, the purchase quantity of the target flow is reduced, and the fund is transferred to the target flow with high estimated ROI, so that the low-quality investment can be saved for the user, the high-quality investment is exchanged, and the economic benefit of the user for purchasing the flow is improved.
The adjustment multiple of the target flow relative to the original bid can be correspondingly determined according to the difference of the estimated ROI, so that the mapping relation between the estimated ROI and the adjustment multiple is obtained, and then the mapping relation is placed in a memory of the system, so that a worker can call and modify the mapping relation.
In this embodiment, preferably, determining a bid adjustment manner for the flow rate class of the target flow rate according to the price adjustment pre-estimation ROI includes: determining an adjustment bid multiple or an adjustment bid value of the flow grade of the target flow according to the price adjustment estimated ROI; and adjusting the bid of the flow grade of the target flow according to the adjustment bid multiple or the adjustment bid value.
The bid multiple can be an adjusted bid obtained by multiplying the original bid by the bid multiple, and the bid value can be an element for directly determining the bid value. The method has the advantages that no matter the user increases the putting amount on the originally purchased flow or increases the new target flow, the adjustment mode can be utilized to obtain clear bid value data, and the application range of the technical scheme provided by the embodiment of the disclosure can be expanded.
According to the technical scheme provided by the embodiment of the disclosure, when the trigger condition of bid adjustment is met, the flow grade of the target flow is obtained; determining a price adjustment pre-estimation ROI of a flow grade of the target flow; and determining a bid adjusting mode for the flow grade of the target flow according to the estimated ROI of the price adjustment. By adopting the technical scheme provided by the disclosure, the effect of creating higher value for the user through price adjustment can be realized.
Example two
Fig. 2 is a schematic structural diagram of a value data adjusting device according to a second embodiment of the disclosure. As shown in fig. 2, the value data adjusting apparatus includes:
a traffic class obtaining module 210, configured to obtain a traffic class of the target traffic when a trigger condition for bid adjustment is met;
a pre-estimated ROI determining module 220 for determining a price adjustment pre-estimated ROI of the flow grade of the target flow;
and a bid adjustment module 230, configured to adjust the pre-estimated ROI according to the price, and determine a bid adjustment manner for the traffic level of the target traffic.
According to the technical scheme provided by the embodiment of the disclosure, when the trigger condition of bid adjustment is met, the flow grade of the target flow is obtained; determining a price adjustment pre-estimation ROI of a flow grade of the target flow; and determining a bid adjusting mode for the flow grade of the target flow according to the estimated ROI of the price adjustment. By adopting the technical scheme provided by the disclosure, the effect of creating higher value for the user through price adjustment can be realized.
Further, the traffic class obtaining module 210 includes:
the target flow evaluation unit is used for evaluating the target flow by using the flow evaluation system when the trigger condition of bid adjustment is met;
and the flow grade determining unit is used for determining the flow grade of the target flow according to the evaluation result.
Further, the target flow rate evaluation unit includes:
the target flow current data acquisition subunit is used for acquiring the current ROI of the target flow and the current auction participation amount;
and the target flow evaluation subunit is used for evaluating the target flow by using the flow evaluation system according to the current ROI of the target flow and the current auction participation amount.
Further, the predicted ROI determining module 220 includes:
and the first pre-estimated ROI determining unit is used for determining the proportion of income and expense of a purchase increment generated on the basis of the current purchase amount of the target flow according to the historical data and determining the price adjustment pre-estimated ROI as the flow grade of the target flow.
Further, the predicted ROI determining module 220 includes:
the purchase increment acquisition unit is used for carrying out preliminary bid adjustment on the target flow and determining the purchase increment generated on the basis of the current purchase amount of the target flow;
and the second pre-estimated ROI determining unit is used for determining the price adjustment pre-estimated ROI of the flow grade of the target flow according to the proportion of the income and the expense of the purchase increment.
Further, the bid adjustment module 230 includes:
the adjustment grade determining unit is used for determining an adjustment bid multiple or an adjustment bid value of the flow grade of the target flow according to the estimated ROI of price adjustment;
and the bid adjusting unit is used for adjusting the bid of the flow grade of the target flow according to the adjusted bid multiple or the adjusted bid value.
The product can execute the method provided by any embodiment of the disclosure, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present disclosure. Referring now to FIG. 3, a block diagram of an electronic device 300 suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, electronic devices such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle electronic devices (e.g., in-vehicle navigation electronic devices), and the like, and stationary electronic devices such as digital TVs, desktop computers, and the like. The electronic device 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 disclosure.
As shown in fig. 3, the electronic device 300 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 301 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)302 or a program loaded from a storage means 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the electronic apparatus 300 are also stored. The processing device 301, the ROM302, and the RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Generally, the following devices may be connected to the I/O interface 305: input devices 306 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 307 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 308 including, for example, magnetic tape, hard disk, etc.; and a communication device 309. The communication means 309 may allow the electronic device 300 to communicate wirelessly or by wire with other devices to exchange data. While fig. 3 illustrates an electronic device 300 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 309, or installed from the storage means 308, or installed from the ROM 302. The computer program, when executed by the processing device 301, performs the above-described functions defined in the methods of the embodiments of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable medium or any combination of the two. A computer readable 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 of the computer readable medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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. In the present disclosure, a computer readable medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either 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 computer readable signal medium may be any computer readable medium that is not a computer readable 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 computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: when the trigger condition of bid adjustment is met, acquiring the flow grade of the target flow; determining a price adjustment pre-estimation ROI of a flow grade of the target flow; and determining a bid adjusting mode for the flow grade of the target flow according to the estimated ROI of the price adjustment.
Alternatively, the computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: when the trigger condition of bid adjustment is met, acquiring the flow grade of the target flow; determining a price adjustment pre-estimation ROI of a flow grade of the target flow; and determining a bid adjusting mode for the flow grade of the target flow according to the estimated ROI of the price adjustment.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, 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 computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. The names of the modules and units do not limit the modules and units in some cases.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Claims (10)
1. A method of adjusting value data, comprising:
when the trigger condition of bid adjustment is met, acquiring the flow grade of the target flow;
determining a price adjustment pre-estimation ROI of a flow grade of the target flow;
and determining a bid adjusting mode for the flow grade of the target flow according to the estimated ROI of the price adjustment.
2. The method of claim 1, wherein obtaining a traffic level for a target traffic when a trigger condition for bid adjustment is satisfied comprises:
when the trigger condition of bid adjustment is met, evaluating the target flow by using a flow evaluation system;
and determining the flow grade of the target flow according to the evaluation result.
3. The method of claim 2, wherein evaluating the target flow with a flow evaluation system comprises:
acquiring a current ROI of target flow and a current auction participation amount;
and evaluating the target flow by using a flow evaluation system according to the current ROI of the target flow and the current auction participation amount.
4. The method of claim 1, wherein determining a price adjustment forecast ROI for a flow level of a target flow comprises:
and determining the proportion of income and expenditure of the purchase increment generated on the basis of the current purchase amount of the target flow according to the historical data, and determining the price adjustment estimated ROI of the flow grade of the target flow.
5. The method of claim 1, wherein determining a price adjustment forecast ROI for a flow level of a target flow comprises:
performing preliminary bid adjustment on the target flow, and determining a purchase increment generated on the basis of the current purchase amount of the target flow;
and determining a price adjustment estimated ROI of the flow grade of the target flow according to the proportion of the income and the expense of the purchase increment.
6. The method of claim 1, wherein determining a bid adjustment for a traffic level of a target traffic based on the price adjustment forecast ROI comprises:
determining an adjustment bid multiple or an adjustment bid value of the flow grade of the target flow according to the price adjustment estimated ROI;
and adjusting the bid of the flow grade of the target flow according to the adjustment bid multiple or the adjustment bid value.
7. A value data adjusting apparatus, comprising:
the flow grade acquisition module is used for acquiring the flow grade of the target flow when the triggering condition of bid adjustment is met;
the estimated ROI determining module is used for determining a price adjustment estimated ROI of the flow grade of the target flow;
and the bid adjusting module is used for adjusting the pre-estimated ROI according to the price and determining a bid adjusting mode for the flow grade of the target flow.
8. The apparatus of claim 7, wherein the traffic class acquisition module comprises:
the target flow evaluation unit is used for evaluating the target flow by using the flow evaluation system when the trigger condition of bid adjustment is met;
and the flow grade determining unit is used for determining the flow grade of the target flow according to the evaluation result.
9. A computer-readable medium, on which a computer program is stored, which program, when being executed by a processor, carries out a value data adjusting method according to any one of claims 1 to 6.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the value data adjusting method according to any one of claims 1-6 when executing the computer program.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811243903.7A CN111091402A (en) | 2018-10-24 | 2018-10-24 | Value data adjusting method and device, electronic equipment and readable medium |
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| CN201811243903.7A CN111091402A (en) | 2018-10-24 | 2018-10-24 | Value data adjusting method and device, electronic equipment and readable medium |
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| CN111091402A true CN111091402A (en) | 2020-05-01 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113222656A (en) * | 2021-04-29 | 2021-08-06 | 西安点告网络科技有限公司 | Programmed advertisement putting method, system, device, equipment and storage medium |
| CN113554470A (en) * | 2021-07-29 | 2021-10-26 | 北京达佳互联信息技术有限公司 | Resource delivery method and device, electronic equipment and storage medium |
-
2018
- 2018-10-24 CN CN201811243903.7A patent/CN111091402A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113222656A (en) * | 2021-04-29 | 2021-08-06 | 西安点告网络科技有限公司 | Programmed advertisement putting method, system, device, equipment and storage medium |
| CN113222656B (en) * | 2021-04-29 | 2023-11-24 | 西安点告网络科技有限公司 | Programmed advertisement putting method, system, device, equipment and storage medium |
| CN113554470A (en) * | 2021-07-29 | 2021-10-26 | 北京达佳互联信息技术有限公司 | Resource delivery method and device, electronic equipment and storage medium |
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