Advertisement putting method, system, equipment and medium

Abstract

The invention provides an advertisement putting method, system and device and a medium, and relates to the technical field of digital marketing management, and the method comprises the steps: determining a first target advertisement from a plurality of first candidate advertisements of a first advertisement platform according to at least one request condition; obtaining first revenue data of the first target advertisement, and determining a first estimated revenue according to the first revenue data; determining a second target advertisement from a plurality of second candidate advertisements of a second advertisement platform according to at least one request condition; obtaining second income data of the second target advertisement, and determining a second estimated income according to the second income data; and according to the first pre-estimated income and the second pre-estimated income, determining an advertisement to be put and an advertisement putting strategy. The advertisement putting efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of digital marketing management. Specifically, it relates to an advertising placement method, system, device and medium. Background Art

[0002] With the rapid development of digital advertising business, the advertisements placed on the self-owned advertising platform can no longer fully consume the existing traffic. Therefore, programmatic purchase of advertising spaces through advertising alliances has become one of the main ways to obtain advertising traffic. However, the existing advertising placement methods cannot effectively measure the value of programmatic advertisements and self-owned advertisements, which makes it difficult for advertisers to optimize the advertising placement strategy in a timely manner and has an adverse impact on the advertising placement efficiency. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to overcome the deficiencies in the prior art and provide an advertising placement method, system, device and medium, aiming to improve the advertising placement efficiency. The present invention provides the following technical solutions:

[0004] In a first aspect, the present invention provides an advertising placement method, and the method includes:

[0005] Determine a first target advertisement from multiple first candidate advertisements of a first advertising platform according to at least one request condition; obtain first revenue data of the first target advertisement, and determine a first estimated revenue according to the first revenue data; determine a second target advertisement from multiple second candidate advertisements of a second advertising platform according to the at least one request condition; obtain second revenue data of the second target advertisement, and determine a second estimated revenue according to the second revenue data; determine the advertisement to be placed and the advertising placement strategy according to the first estimated revenue and the second estimated revenue.

[0006] In an embodiment, each of the first candidate advertisements corresponds to a first set of targeting conditions. The step of determining a first target advertisement from multiple first candidate advertisements of a first advertising platform according to at least one request condition includes: screening a first set of target conditions that includes each of the request conditions from multiple first sets of targeting conditions; determining the first candidate advertisement corresponding to the first set of target conditions as the first target advertisement;

[0007] Each of the second candidate advertisements corresponds to a second set of targeting conditions. The step of determining a second target advertisement from multiple second candidate advertisements of a second advertising platform according to the at least one request condition includes: screening a second set of target conditions that includes each of the request conditions from multiple second sets of targeting conditions; determining the second candidate advertisement corresponding to the second set of target conditions as the second target advertisement.

[0008] In one embodiment, the first revenue data includes: the first revenue per thousand corresponding to different preset time periods. The obtaining of the first revenue data of the first target advertisement includes: obtaining the total revenue and at least one preset effect parameter respectively corresponding to the first target advertisement within different preset time periods; determining the first revenue per thousand of the first target advertisement within different preset time periods according to the corresponding total revenue and the at least one preset effect parameter;

[0009] The second revenue data includes: the second revenue per thousand corresponding to different preset time periods. The obtaining of the second revenue data of the second target advertisement includes: obtaining the total revenue and at least one preset effect parameter respectively corresponding to the second target advertisement within different preset time periods; determining the second revenue per thousand of the second target advertisement within different preset time periods according to the corresponding total revenue and the at least one preset effect parameter.

[0010] In one embodiment, the determining of the first estimated revenue according to the first revenue data includes: comparing the first revenue per thousand respectively corresponding to the first target advertisement within different preset time periods, and determining the first revenue per thousand with the largest value as the first estimated revenue.

[0011] In one embodiment, the determining of the second estimated revenue according to the second revenue data includes: comparing the second revenue per thousand respectively corresponding to the second target advertisement within different preset time periods, and determining the second revenue per thousand with the largest value as the second estimated revenue.

[0012] In one embodiment, the determining of the advertisement to be placed according to the first estimated revenue and the second estimated revenue includes: if the first estimated revenue is greater than or equal to the second estimated revenue, determining the first target advertisement as the advertisement to be placed; if the first estimated revenue is less than the second estimated revenue, determining the second target advertisement as the advertisement to be placed.

[0013] In one embodiment, the determining of the advertisement placement strategy according to the first estimated revenue and the second estimated revenue includes: if the first estimated revenue is greater than or equal to the second estimated revenue, determining the preset time period corresponding to the first estimated revenue as the target time period; if the first estimated revenue is less than the second estimated revenue, determining the preset time period corresponding to the second estimated revenue as the target time period; placing the advertisement to be placed within the target time period.

[0014] In a second aspect, the present invention provides an advertisement placement system, the system includes:

[0015] A first screening unit, configured to determine a first target advertisement from multiple first candidate advertisements of a first advertising platform according to at least one request condition;

[0016] A first determination unit, configured to obtain first revenue data of the first target advertisement, and determine a first estimated revenue according to the first revenue data;

[0017] A second screening unit, configured to determine a second target advertisement from multiple second candidate advertisements of a second advertising platform according to the at least one request condition;

[0018] A second determination unit, configured to obtain second revenue data of the second target advertisement, and determine a second estimated revenue according to the second revenue data;

[0019] A decision-making unit, configured to determine an advertisement to be placed and an advertisement placement strategy according to the first estimated revenue and the second estimated revenue.

[0020] In a third aspect, the present invention provides an electronic device, including a memory and a processor, where the memory stores a computer program, and when the computer program runs on the processor, it executes the advertisement placement method described in the first aspect.

[0021] In a fourth aspect, the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the advertisement placement method described in the first aspect.

[0022] The advertisement placement method, system, device, and medium provided in the embodiments of the present application determine a first target advertisement from multiple first candidate advertisements of a first advertising platform according to at least one request condition; obtain first revenue data of the first target advertisement, and determine a first estimated revenue according to the first revenue data; determine a second target advertisement from multiple second candidate advertisements of a second advertising platform according to the at least one request condition; obtain second revenue data of the second target advertisement, and determine a second estimated revenue according to the second revenue data; determine an advertisement to be placed and an advertisement placement strategy according to the first estimated revenue and the second estimated revenue. By pre-determining the first estimated revenue and the second estimated revenue, and comparing the magnitudes of the first estimated revenue and the second estimated revenue, the present application realizes automatic comparison of advertisement values, and then formulates an advertisement placement strategy, reducing the decision-making cost and improving the advertisement placement efficiency.

[0023] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following specifically enumerates preferred embodiments and, in conjunction with the accompanying drawings, makes a detailed description as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for use in the embodiments. It should be understood that the following drawings only show some embodiments of the present invention, and thus should not be regarded as limiting the scope. For those of ordinary skill in the art, without creative efforts, other relevant drawings can also be obtained based on these drawings.

[0025] Figure 1 FIG. 4 shows a schematic flowchart of an advertising placement method provided by an embodiment of the present invention;

[0026] Figure 2 FIG. 5 shows another schematic flowchart of an advertising placement method provided by an embodiment of the present invention;

[0027] Figure 3 FIG. 6 shows still another schematic flowchart of an advertising placement method provided by an embodiment of the present invention;

[0028] Figure 4 FIG. 7 shows yet another schematic flowchart of an advertising placement method provided by an embodiment of the present invention;

[0029] Figure 5 FIG. 8 shows another schematic flowchart of an advertising placement method provided by an embodiment of the present invention;

[0030] Figure 6 FIG. 9 shows a schematic structural diagram of an advertising placement system provided by an embodiment of the present invention;

[0031] Figure 7 FIG. 10 shows a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

[0032] Main element symbol description:

[0033] 600 - Advertising placement system; 610 - First screening unit; 620 - First determination unit; 630 - Second screening unit; 640 - Second determination unit; 650 - Decision unit; 700 - Electronic device; 701 - Transceiver; 702 - Processor; 703 - Memory. Detailed implementation manners

[0034] The following will describe in detail the embodiments of the present invention. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions from beginning to end. The embodiments described below by referring to the drawings are exemplary and are only used to explain the present invention and should not be construed as limiting the present invention.

[0035] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of the present invention, "a plurality of" means two or more, unless otherwise specifically defined.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field to which this application belongs. The terms used in the specification of the template herein are for the purpose of describing specific embodiments only and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0037] Embodiment 1

[0038] With the development of the digital advertising business, there are obvious deficiencies in the current advertising placement method: it is impossible to accurately measure the value of programmatic advertising and self-owned advertising, resulting in difficulty in optimizing the advertising placement strategy in a timely manner, which in turn has an adverse impact on the advertising placement efficiency. In this regard, please refer to Figure 1 , the embodiments of the present application provide an advertising placement method, including: steps S110 to S140.

[0039] Step S110, determining a first target advertisement from multiple first candidate advertisements of a first advertising platform according to at least one request condition.

[0040] In this embodiment, the first advertising platform is a self-owned advertising platform, and the self-owned advertising platform includes: an advertising pool composed of a plurality of self-owned advertisements, that is, the first candidate advertisements described above. Specifically, a first target advertisement that meets each request condition is screened out from the multiple first candidate advertisements in the advertising pool of the first advertising platform, and further, whether to place the first target advertisement and the placement time period corresponding to the first target advertisement are determined according to the revenue data of the first target advertisement.

[0041] In an implementation manner, each of the first candidate advertisements corresponds to a first set of targeting conditions. Please refer to Figure 2 , step S110 includes: steps S111 to S112.

[0042] Step S111, screening out a first target set of conditions that includes each of the request conditions from the multiple first sets of targeting conditions.

[0043] It can be understood that the first set of targeting conditions includes at least one first targeting condition corresponding to the first candidate advertisement, such as region, target user, and / or exposure time, etc. Based on the matching of at least one first targeting condition included in the first set of targeting conditions with at least one request condition, specifically, the first set of targeting conditions containing each request condition is determined as the first target condition set.

[0044] For example, if a first set of targeting conditions includes the following targeting conditions: the first region, the user gender is male, and the exposure time is from 9:00 to 10:00; and at least one request condition is: the first region, the user gender is male. This first set of targeting conditions contains each request condition: the first region and the user gender is male, and this first set of targeting conditions is determined as the first target condition set.

[0045] Step S112, determine the first candidate advertisement corresponding to the first target condition set as the first target advertisement.

[0046] In this embodiment, if the first set of targeting conditions includes each request condition, it is determined that the first candidate advertisement corresponding to this first set of targeting conditions meets at least one request condition, and this first candidate advertisement is determined as the first target advertisement. Among them, the first set of targeting conditions including each request condition is the first target condition set.

[0047] Step S120, obtain the first revenue data of the first target advertisement, and determine the first estimated revenue according to the first revenue data.

[0048] In this embodiment, the first estimated revenue of the first target advertisement is determined according to the total revenue corresponding to the first target advertisement in different time periods and at least one preset effect parameter. Among them, at least one preset effect parameter includes: the number of displays, the number of clicks, and / or the number of conversions.

[0049] In an implementation manner, the first revenue data includes: the first revenue per thousand corresponding to different preset time periods, please refer to Figure 3 , and the obtaining of the first revenue data of the first target advertisement includes: steps S121 to S122.

[0050] In this embodiment, the first revenue per thousand refers to the revenue of the first target advertisement when it is displayed one thousand times, the revenue when it is clicked one thousand times, or the data when it is converted one thousand times.

[0051] Step S121, obtain the total revenue and at least one preset effect parameter respectively corresponding to the first target advertisement in different preset time periods.

[0052] It should be noted that within the same preset time period, the revenue criteria for different advertisements are different. For example, the revenue of some advertisements is realized based on advertisement displays, the revenue of some advertisements is realized based on advertisement clicks, and the revenue of some advertisements is realized based on advertisement conversions. Therefore, for different target advertisements, the preset effect parameters relied on may be different. If the revenue of the first target advertisement is realized based on more than two preset effect parameters, then the average value of the thousandth revenues realized based on different preset effect parameters is taken, and this average value is determined as the thousandth revenue of the first target advertisement within the corresponding preset time period.

[0053] Step S122: Determine the thousandth revenue of the first target advertisement within different preset time periods according to the corresponding total revenue and the at least one preset effect parameter.

[0054] In this embodiment, for example, within a certain preset time period, the total revenue corresponding to the first target advertisement is 1000 yuan, and the preset effect parameter is: 10 conversions. Then the thousandth revenue of the first target advertisement within this preset time period is: 1000 / 10×1000 = 100000 yuan.

[0055] In one implementation manner, the determining the first estimated revenue according to the first revenue data includes: comparing the thousandth revenues respectively corresponding to the first target advertisement within different preset time periods, and determining the thousandth revenue with the largest value as the first estimated revenue.

[0056] It can be understood that the thousandth revenues corresponding to the first target advertisement within different time periods are different. In this embodiment, the thousandth revenue with the largest value is determined as the first estimated revenue of the first target advertisement. In other embodiments, the determination of the first estimated revenue of the first target advertisement can also be selected according to the actual situation.

[0057] Step S130: Determine the second target advertisement from multiple second candidate advertisements on the second advertising platform according to the at least one request condition.

[0058] In this embodiment, the second advertising platform includes: a programmatic advertising platform, and the programmatic advertising platform includes: an advertising pool composed of multiple programmatic advertisements, that is, the second candidate advertisements described above. Similar to step S110, according to at least one request condition, the second target advertisement that meets each request condition is screened out from the multiple second candidate advertisements in the advertising pool of the second advertising platform, and further, it is determined whether to place the second target advertisement and the placement time period corresponding to the second target advertisement according to the revenue data of the second target advertisement.

[0059] Each of the second candidate advertisements corresponds to a second targeting condition set. Please refer to Figure 4, step S130 includes steps S131 to S132.

[0060] Step S131: Screen out a second target condition set containing each of the request conditions from multiple second orientation condition sets.

[0061] In this embodiment, similar to step S111, the second orientation condition set includes at least one second orientation condition corresponding to the second candidate advertisement. Based on the matching between at least one second orientation condition included in the second orientation condition set and at least one request condition, the second orientation condition set containing each request condition is determined as the second target condition set.

[0062] Step S132: Determine the second candidate advertisement corresponding to the second target condition set as the second target advertisement.

[0063] In this embodiment, similar to step S112, if the second orientation condition set includes each request condition, it is determined that the second candidate advertisement corresponding to this second orientation condition set meets at least one request condition, and this second candidate advertisement is determined as the second target advertisement.

[0064] Step S140: Obtain the second revenue data of the second target advertisement, and determine the second estimated revenue according to the second revenue data.

[0065] In this embodiment, the second estimated revenue of the second target advertisement is determined according to the total revenue corresponding to the second target advertisement in different time periods and at least one preset effect parameter.

[0066] The second revenue data includes the second revenue per thousand corresponding to different preset time periods. Please refer to Figure 5 , obtaining the second revenue data of the second target advertisement includes steps S141 to S142.

[0067] Step S141: Obtain the total revenue and at least one preset effect parameter corresponding to the second target advertisement in different preset time periods.

[0068] At least one preset effect parameter includes: the number of displays, the number of clicks, and / or the number of conversions.

[0069] Step S142: Determine the second revenue per thousand of the second target advertisement in different preset time periods according to the corresponding total revenue and the at least one preset effect parameter.

[0070] Similar to step S122, in a certain preset time period, the second revenue per thousand of the second target advertisement is determined according to the total revenue of the second target advertisement in this preset time period and at least one preset effect parameter.

[0071] In one embodiment, determining the second estimated revenue according to the second revenue data includes: comparing the second revenue per thousand impressions corresponding to the second target advertisement in different preset time periods, and determining the second revenue per thousand impressions with the largest value as the second estimated revenue.

[0072] It can be understood that the second revenue per thousand impressions corresponding to the second target advertisement is different in different time periods. In this embodiment, the second revenue per thousand impressions with the largest value is determined as the second estimated revenue of the second target advertisement.

[0073] Step S150, determining the advertisement to be placed and the advertisement placement strategy according to the first estimated revenue and the second estimated revenue.

[0074] In one embodiment, determining the advertisement to be placed according to the first estimated revenue and the second estimated revenue includes: if the first estimated revenue is greater than or equal to the second estimated revenue, determining the first target advertisement as the advertisement to be placed; if the first estimated revenue is less than the second estimated revenue, determining the second target advertisement as the advertisement to be placed.

[0075] In this embodiment, by estimating the possible revenue of the first target advertisement, that is, the first estimated revenue, and estimating the possible revenue of the second target advertisement, that is, the second estimated revenue, and comparing the first estimated revenue and the second estimated revenue, a suitable advertisement to be placed is determined. Before placement, the advertising value of the first advertising platform and the advertising value within the second advertising platform that meet the request conditions are measured to select the advertisement with the maximum benefit for placement, which not only improves the advertising placement efficiency but also avoids revenue losses caused by improper advertisement selection.

[0076] In one embodiment, determining the advertisement placement strategy according to the first estimated revenue and the second estimated revenue includes: if the first estimated revenue is greater than or equal to the second estimated revenue, determining the preset time period corresponding to the first estimated revenue as the target time period; if the first estimated revenue is less than the second estimated revenue, determining the preset time period corresponding to the second estimated revenue as the target time period; placing the advertisement to be placed within the target time period.

[0077] It can be understood that the revenue brought by placing the same advertisement in different preset time periods is different. Therefore, to maximize the revenue, after determining the advertisement to be placed, the target placement time period should be further determined according to the corresponding first estimated revenue or second estimated revenue.

[0078] The advertising placement method provided by the embodiments of the present application includes: determining a first target advertisement from multiple first candidate advertisements of a first advertising platform according to at least one request condition; obtaining first revenue data of the first target advertisement, and determining a first estimated revenue according to the first revenue data; determining a second target advertisement from multiple second candidate advertisements of a second advertising platform according to the at least one request condition; obtaining second revenue data of the second target advertisement, and determining a second estimated revenue according to the second revenue data; determining the advertisement to be placed and an advertising placement strategy according to the first estimated revenue and the second estimated revenue. By pre-determining the first estimated revenue and the second estimated revenue, and comparing the magnitudes of the first estimated revenue and the second estimated revenue, the present application realizes automatically comparing the advertising value, and then formulates an advertising placement strategy, reduces the decision-making cost, and improves the advertising placement efficiency.

[0079] Embodiment 2

[0080] In addition, please refer to Figure 6 , the embodiments of the present invention further provide an advertising placement system 600, including:

[0081] A first screening unit 610, configured to determine a first target advertisement from multiple first candidate advertisements of a first advertising platform according to at least one request condition of the advertisement to be placed;

[0082] A first determination unit 620, configured to obtain first revenue data of the first target advertisement, and determine a first estimated revenue according to the first revenue data;

[0083] A second screening unit 630, configured to determine a second target advertisement from multiple second candidate advertisements of a second advertising platform according to the at least one request condition of the advertisement to be placed;

[0084] A second determination unit 640, configured to obtain second revenue data of the second target advertisement, and determine a second estimated revenue according to the second revenue data;

[0085] A decision-making unit 650, configured to determine the advertisement to be placed and an advertising placement strategy according to the first estimated revenue and the second estimated revenue.

[0086] In an implementation manner, each of the first candidate advertisements respectively corresponds to a first set of targeting conditions. The determining a first target advertisement from multiple first candidate advertisements of a first advertising platform according to at least one request condition of the advertisement to be placed includes: screening a first set of target conditions including each of the request conditions from multiple first sets of targeting conditions; determining the first candidate advertisement corresponding to the first set of target conditions as the first target advertisement;

[0087] Each of the second candidate ads corresponds to a second targeting condition set. Determining a second target ad from multiple second candidate ads on a second ad platform according to the at least one request condition of the ad to be delivered includes: screening out a second target condition set containing each of the request conditions from the multiple second targeting condition sets; and determining the second candidate ad corresponding to the second target condition set as the second target ad.

[0088] In an embodiment, the first revenue data includes: the first revenue per thousand corresponding to different preset time periods. Obtaining the first revenue data of the first target ad includes: obtaining the total revenue and at least one preset effect parameter respectively corresponding to the first target ad within different preset time periods; and determining the first revenue per thousand of the first target ad within different preset time periods according to the corresponding total revenue and the at least one preset effect parameter.

[0089] The second revenue data includes: the second revenue per thousand corresponding to different preset time periods. Obtaining the second revenue data of the second target ad includes: obtaining the total revenue and at least one preset effect parameter respectively corresponding to the second target ad within different preset time periods; and determining the second revenue per thousand of the second target ad within different preset time periods according to the corresponding total revenue and the at least one preset effect parameter.

[0090] In an embodiment, determining a first estimated revenue according to the first revenue data includes: comparing the first revenue per thousand respectively corresponding to the first target ad within different preset time periods, and determining the first revenue per thousand with the largest value as the first estimated revenue.

[0091] In an embodiment, determining a second estimated revenue according to the second revenue data includes: comparing the second revenue per thousand respectively corresponding to the second target ad within different preset time periods, and determining the second revenue per thousand with the largest value as the second estimated revenue.

[0092] In an embodiment, determining the ad to be delivered according to the first estimated revenue and the second estimated revenue includes: if the first estimated revenue is greater than or equal to the second estimated revenue, determining the first target ad as the ad to be delivered; if the first estimated revenue is less than the second estimated revenue, determining the second target ad as the ad to be delivered.

[0093] In one embodiment, determining the advertisement placement strategy according to the first estimated revenue and the second estimated revenue includes: if the first estimated revenue is greater than or equal to the second estimated revenue, determining the preset time period corresponding to the first estimated revenue as the target time period; if the first estimated revenue is less than the second estimated revenue, determining the preset time period corresponding to the second estimated revenue as the target time period; and placing the advertisement to be placed within the target time period.

[0094] In the advertisement system provided by the embodiments of the present application, a first screening unit determines a first target advertisement from multiple first candidate advertisements on a first advertisement platform according to at least one request condition of the advertisement to be placed; a first determination unit obtains first revenue data of the first target advertisement and determines a first estimated revenue according to the first revenue data; a second screening unit determines a second target advertisement from multiple second candidate advertisements on a second advertisement platform according to the at least one request condition of the advertisement to be placed; a second determination unit obtains second revenue data of the second target advertisement and determines a second estimated revenue according to the second revenue data; and a decision-making unit determines the advertisement to be placed and the advertisement placement strategy according to the first estimated revenue and the second estimated revenue. By pre-determining the first estimated revenue and the second estimated revenue and comparing the magnitudes of the first estimated revenue and the second estimated revenue, the present application realizes automatic comparison of advertisement values, thereby formulating an advertisement placement strategy, reducing the decision-making cost, and improving the advertisement placement efficiency.

[0095] Embodiment 3

[0096] In addition, an embodiment of the present invention provides an electronic device, including a memory and a processor. The memory stores a computer program, and when the computer program runs on the processor, it executes the advertisement placement method provided in Embodiment 1.

[0097] Specifically, please refer to Figure 7 , the electronic device 700 includes: a transceiver 701, a bus interface, and a processor 702. The processor 702 is configured to determine a first target advertisement from multiple first candidate advertisements on a first advertisement platform according to at least one request condition; obtain first revenue data of the first target advertisement and determine a first estimated revenue according to the first revenue data; determine a second target advertisement from multiple second candidate advertisements on a second advertisement platform according to the at least one request condition; obtain second revenue data of the second target advertisement and determine a second estimated revenue according to the second revenue data; and determine the advertisement to be placed and the advertisement placement strategy according to the first estimated revenue and the second estimated revenue.

[0098] In the embodiment of the present invention, the electronic device 700 further includes: a memory 703. In Figure 7Among them, the bus architecture may include any number of interconnected buses and bridges, specifically, various circuits represented by one or more processors represented by processor 702 and memory represented by memory 703 are linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, and power management circuits, etc., which are well known in the art, and thus will not be further described herein. The bus interface provides an interface. The transceiver 701 may be multiple components, that is, including a transmitter and a receiver, and provides a unit for communicating with various other devices on the transmission medium. The processor 702 is responsible for managing the bus architecture and general processing, and the memory 703 may store data used by the processor 702 when performing operations.

[0099] The electronic device 700 provided by an embodiment of the present invention can execute the advertisement placement method provided by the above-mentioned method embodiment 1. To avoid repetition, it will not be elaborated herein.

[0100] Embodiment 4

[0101] In addition, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the advertisement placement method provided by Embodiment 1.

[0102] In this embodiment, the computer-readable storage medium may be a read-only memory (ROM for short), a random access memory (RAM for short), a magnetic disk, or an optical disc, etc.

[0103] The computer-readable storage medium provided by this embodiment can implement the advertisement placement method provided by Embodiment 1. To avoid repetition, it will not be elaborated herein.

[0104] In all the examples shown and described herein, any specific value should be construed as merely exemplary and not as a limitation. Therefore, other examples of the exemplary embodiments may have different values.

[0105] It should be noted that: similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0106] The above-described embodiments only represent several implementation manners of the present invention. Their descriptions are relatively specific and detailed, but should not be construed as a limitation on the scope of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all belong to the protection scope of the present invention.

Claims

1. An advertising placement method, characterized in that, The method includes: Determining a first target advertisement from multiple first candidate advertisements of a first advertising platform according to at least one request condition; Obtaining first revenue data of the first target advertisement and determining a first estimated revenue according to the first revenue data; Determining a second target advertisement from multiple second candidate advertisements of a second advertising platform according to the at least one request condition; Obtaining second revenue data of the second target advertisement and determining a second estimated revenue according to the second revenue data; Determining an advertisement to be delivered and an advertisement delivery strategy according to the first estimated revenue and the second estimated revenue.

2. The advertising placement method according to claim 1, wherein Each of the first candidate advertisements corresponds to a first set of targeting conditions. The determining of the first target advertisement from multiple first candidate advertisements of the first advertising platform according to at least one request condition includes: Screening a first set of target conditions that includes each of the request conditions from multiple first sets of targeting conditions; Determining the first candidate advertisement corresponding to the first set of target conditions as the first target advertisement; Each of the second candidate advertisements corresponds to a second set of targeting conditions. The determining of the second target advertisement from multiple second candidate advertisements of the second advertising platform according to the at least one request condition includes: Screening a second set of target conditions that includes each of the request conditions from multiple second sets of targeting conditions; Determining the second candidate advertisement corresponding to the second set of target conditions as the second target advertisement.

3. The advertising placement method according to claim 2, wherein The first revenue data includes: the first revenue per thousand impressions corresponding to different preset time periods. The obtaining of the first revenue data of the first target advertisement includes: Obtaining the total revenue and at least one preset effect parameter respectively corresponding to the first target advertisement within different preset time periods; Determining the first revenue per thousand impressions of the first target advertisement within different preset time periods according to the corresponding total revenue and the at least one preset effect parameter; The second revenue data includes: the second revenue per thousand impressions corresponding to different preset time periods. The obtaining of the second revenue data of the second target advertisement includes: Obtaining the total revenue and at least one preset effect parameter respectively corresponding to the second target advertisement within different preset time periods; Determining the second revenue per thousand impressions of the second target advertisement within different preset time periods according to the corresponding total revenue and the at least one preset effect parameter.

4. The advertising delivery method according to claim 3, wherein, The determining of the first estimated revenue according to the first revenue data includes: Comparing the first revenue per thousand impressions respectively corresponding to the first target advertisement within different preset time periods and determining the first revenue per thousand impressions with the largest value as the first estimated revenue.

5. The advertising placement method according to claim 3, wherein The determining of the second estimated revenue according to the second revenue data includes: Comparing the second revenue per thousand impressions respectively corresponding to the second target advertisement within different preset time periods and determining the second revenue per thousand impressions with the largest value as the second estimated revenue.

6. The advertising placement method according to claim 4 or 5, characterized in that, The determining of the advertisement to be delivered according to the first estimated revenue and the second estimated revenue includes: If the first estimated revenue is greater than or equal to the second estimated revenue, determining the first target advertisement as the advertisement to be delivered; If the first estimated revenue is less than the second estimated revenue, determine the second target advertisement as the advertisement to be delivered.

7. The advertising placement method according to claim 6, wherein The determining of the advertisement delivery strategy according to the first estimated revenue and the second estimated revenue includes: If the first estimated revenue is greater than or equal to the second estimated revenue, determine the preset time period corresponding to the first estimated revenue as the target time period; If the first estimated revenue is less than the second estimated revenue, determine the preset time period corresponding to the second estimated revenue as the target time period; Deliver the advertisement to be delivered within the target time period.

8. An advertisement delivery system, characterized in that, The system includes: A first screening unit for determining a first target advertisement from a plurality of first candidate advertisements on a first advertising platform according to at least one request condition; A first determining unit for obtaining first revenue data of the first target advertisement and determining a first estimated revenue according to the first revenue data; A second screening unit for determining a second target advertisement from a plurality of second candidate advertisements on a second advertising platform according to the at least one request condition; A second determining unit for obtaining second revenue data of the second target advertisement and determining a second estimated revenue according to the second revenue data; A decision-making unit for determining the advertisement to be delivered and the advertisement delivery strategy according to the first estimated revenue and the second estimated revenue.

9. An electronic device, characterized in that, It includes a memory and a processor, the memory stores a computer program, and when the computer program runs on the processor, it executes the advertisement delivery method according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the advertisement delivery method according to any one of claims 1-7.

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