CN113435932A

CN113435932A - Delivery system and method for matching advertisements according to information provided by advertisers

Info

Publication number: CN113435932A
Application number: CN202110736111.9A
Authority: CN
Inventors: 马兴鸣
Original assignee: Shanghai Cangtai Information Technology Co ltd
Current assignee: Shanghai Cangtai Information Technology Co ltd
Priority date: 2021-06-30
Filing date: 2021-06-30
Publication date: 2021-09-24

Abstract

A delivery system for matching advertisements based on advertiser provided information, comprising: comprises a classification module and a delivery module; the classification module is used for receiving user data and classification; wherein the user data comprises at least user unique identification information; and the delivery module is used for delivering the advertisement which can be delivered and is selected by the advertiser according to the classification when the advertisement request is received. According to the invention, when the advertisement is requested, the terminal can classify and match the users without collecting the behavior data of the users at the terminal, so that the stability and accuracy of data acquisition are improved, and more accurate and reliable personalized advertisement is provided for the users.

Description

Delivery system and method for matching advertisements according to information provided by advertisers

Technical Field

The invention relates to the technical field of internet advertisements, in particular to a delivery system and a delivery method for matching advertisements according to information provided by an advertiser.

Background

In the field of internet advertising, advertisers need to directionally promote products or services, and therefore various information such as client preferences, behavior histories, geographic positions and the like needs to be collected by each advertising platform to obtain more accurate user targeting, so that accurate and personalized advertisement push is realized, and the pertinence and the effect of advertisements are expected to be improved. But this practice is currently suffering from more and more frustration and the more users choose to refuse the gathering of relevant data when applying authorization. Such as hongmeng OS, may be set by the user whether to allow the application to gather user information to provide personalized advertisements.

This is a challenge for internet advertising service providers. Without data support, it is difficult to achieve accurate advertisement delivery and meet the needs of advertisers. In current advertising systems, when a terminal requests an advertisement from a server, information related to the terminal is collected, but the information is facing more and more shielding, resulting in a reduction in the efficiency of personalized advertising systems that rely on such data. Therefore, a technical solution for partitioning users according to background data of applications without collecting excessive behavior data of the users is needed. Meanwhile, background data needing to be applied is more accurate for user division.

Disclosure of Invention

The technical problem to be solved by the invention is to provide a delivery system and a delivery method for matching advertisements according to information provided by an advertiser, so that when the advertisements are requested, a terminal can classify and match users without collecting behavior data of the users at the terminal, the stability and accuracy of data acquisition are improved, and more accurate and reliable personalized advertisements are provided for the users.

In order to solve the technical problem, the invention provides a delivery system for matching advertisements according to information provided by an advertiser, which comprises a classification module and a delivery module;

the classification module is used for receiving user data and classification; wherein the user data comprises at least user unique identification information;

and the delivery module is used for delivering the advertisement which can be delivered and is selected by the advertiser according to the classification when the advertisement request is received.

As an improvement of the above scheme, the delivery system for matching advertisements according to information provided by advertisers further comprises an updating module;

and the updating module is used for updating the content of the classification module.

As an improvement of the scheme, the data of the classification module can be uploaded manually by an advertiser or can be acquired automatically through an API.

As an improvement of the above, one piece of the user data corresponds to one of the classifications, and one of the classifications may correspond to a plurality of pieces of the user data.

As an improvement of the above scheme, the classification module comprises a data unit and a client classification unit;

the data unit is used for acquiring user data provided by an advertiser; the user data comprises user unique identification information and at least one piece of characteristic information;

and the customer classification unit is used for classifying the users according to the user data and distributing the advertisement capable of being delivered to the classification.

As an improvement of the above, the classification may be set by the advertiser.

Correspondingly, the invention also provides a delivery method for matching the advertisements according to the information provided by the advertisers, which comprises the following steps.

A. Receiving user data and classification using the classification module; wherein the user data comprises at least user unique identification information;

B. and when an advertisement request is received, the delivery module is used for delivering the advertisement which can be delivered and is selected by the advertiser according to the classification.

Correspondingly, the invention also provides a bank advertisement delivery system, which comprises a data module, a customer classification module and a delivery module;

the data module is used for acquiring user data provided by a bank; the user data comprises user unique identification information and the use condition of bank APP;

the client classification module is used for classifying users according to the user data and distributing advertisement which can be put in for the classification;

and the updating module is used for updating the contents of the data module and the customer classification module.

As an improvement of the above solution, the relationship between the various bank APPs is also a criterion for classifying the users.

The invention has the following beneficial effects.

The method and the device can increase the stability of personalized advertisement promotion and effectively avoid the limitation of the terminal on advertisement acquisition data. The invention adopts full-scene popularization, can carry out full-scene marketing to users, and is not limited in a few applications. The classification data of the user comes from the use condition of the user to the application, can be classified according to various factors such as the use frequency, the time and the like of the user, and is more various and accurate than the existing classification method. The invention is particularly suitable for popularizing a certain service or product for a specific group.

Drawings

Fig. 1 is a schematic structural diagram of a first embodiment of a delivery system for matching advertisements according to information provided by advertisers.

Fig. 2 is a schematic structural diagram of a second embodiment of the delivery system for matching advertisements according to information provided by advertisers.

Fig. 3 is a flowchart of a first embodiment of a method for matching placement of advertisements based on advertiser provided information in accordance with the present invention.

Fig. 4 is a schematic structural diagram of a first embodiment of the bank advertisement delivery system of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings.

In the present invention, an "advertiser" refers to a person who needs to promote an advertisement and use the system. "user" refers to the audience of the internet advertisement, and is also a potential user for advertisement promotion.

In a first embodiment of the present invention, as shown in fig. 1, a delivery system for matching advertisements based on advertiser provided information is provided, which includes a classification module 110 and a delivery module 120.

Some advertisers have multiple APPs, and a user may have only a portion of the APP installed for the advertiser. The advertiser has the incentive for users with installed partial applications to continue to promote uninstalled applications. The embodiment provides a technical scheme for an advertiser with stronger data processing capacity, the advertiser can only provide the unique identification information and classification of the user, and the system can correspondingly and separately deliver the user according to the information provided by the advertiser when the relevant advertisement request exists.

Specifically, a classification module 110 for receiving user data and classifications; wherein the user data comprises at least user unique identification information. Classification module 110 is a module that interfaces with advertisers for receiving data provided by the advertisers. These data may be the basis for advertising promotion by the placement module 120 for the relevant users. The user data is a basis for identifying the user, and may be an International Mobile Equipment Identity (IMEI), a MAC address, and the like. Theoretically, one terminal corresponds to one unique identification code, but since these data can be modified in practice, there may be a case where one international mobile equipment identification code (IMEI) or MAC address corresponds to a plurality of devices and users at the same time. Additional information may also be required to confirm that the end user is the uniquely determined user. The additional information may be data with small changes in applications installed in the terminal, terminal types, models, operating systems, and the like, and also information with low acquisition rights and easy acquisition.

The data of the classification module 110 may be either manually uploaded by the advertiser or automatically obtained through an API. When the user manually uploads, the upload may be in a file format of txt, xls, or xlsx. One category corresponds to one user data, and one category may correspond to a plurality of user data. A plurality of classifications are preset in the system, and an advertiser can designate corresponding advertisement content for each classification and can change the name of the classification. The advertiser may also increase or decrease the number of categories. For example, an advertiser provides data in the txt file format, one for each action. The data in each row are classified, unique identification information and auxiliary information in turn, and the data in each class are separated by a blank space. For example, the data of the first row is "1866417059286244," the classification module 110 would read the row of data and classify the device having the unique identification information of "866417059286244" as a classification of "1.

And the delivery module 120 is configured to deliver the advertisement which can be delivered and is selected by the advertiser according to the classification when the advertisement request is received.

When the delivering module 120 receives the advertisement request, the information in the advertisement request information is read and matched with the data in the classification module 110, and if the device of the advertisement request is located in the classification module 110, the corresponding classification and advertisement content are read and delivered. When the specific delivery is carried out, the direct delivery mode can be adopted, and the bidding mode can be adopted. The direct-casting mode is that the system can directly cast advertisements on the terminal, and the advertisements pushed by the system can be directly displayed on the terminal without other intermediate links. The bidding mode is that after receiving an advertisement request, a round of bidding is needed, and only the advertisement with successful bidding can obtain a display opportunity. The placement module 120 may also specify the number of impressions for a terminal.

According to the embodiment, the data of the advertiser is received and matched with the information of the user terminal, the terminal user needing to be delivered by the advertiser can be accurately oriented, the data source is reliable, the difficulty of the system in acquiring the data of the terminal is reduced, and the orientation of the system is more stable. The embodiment is particularly suitable for advertisers with more APP and user groups, and can realize efficient application of data and accurate identification and positioning of clients.

Compared with the previous embodiment, the second embodiment of the present invention as shown in fig. 2 provides a delivery system for matching advertisements according to information provided by advertisers, and in this embodiment, further includes an update module 130.

Some advertisers have multiple APPs and also have more user data, but would like to provide the raw data and the data processing and classification performed by the present system. The embodiment provides a data processing function for the advertiser, and the advertiser only needs to specify the classification rule.

In particular, the update module 130 is configured to update the content of the classification module 110. If the user is classified by file uploading, the update module 130 updates the classification information after the user uploads the file. If the user specifies that the API provides classification information, the update module periodically updates the classification information through the API interface. Because the system is simultaneously connected with a plurality of API interfaces, the updating module can dynamically distribute the updating progress according to the size of the updated data volume so as to ensure that the updating does not influence the normal operation of the system.

In this embodiment, the classification module 110 further includes a data unit 111 and a customer classification unit 112.

A data unit 111 for obtaining user data provided by the advertiser. Different from the previous embodiment, the user data in the present embodiment includes user unique identification information and at least one feature information. The user unique identification information is used for identifying whether the user is the target client or not, the characteristic information is used for classifying or determining whether the user is the target client or not, and at least one characteristic information is used for classifying. The feature information used for classification in this embodiment is an application situation related to an advertiser, for example, the feature information may be "install a game", "install B game", or "install C game".

A customer classification unit 112, configured to classify the users according to the user data, and assign the classification with advertisement capable of being delivered. The classification rules are specified by the advertiser. For example, if three features are available, A, B, C three applications are installed, ad a is recommended, if only two features are available, AB or AC or BC is installed, ad B is recommended, and if only one feature is available, a or B or C is recommended. The advertiser may specify a plurality of advertisement placements for a category and may specify an order of presentation when specifying the advertisement placements. If the advertiser does not show the showing sequence of the plurality of the advertisement capable of being placed, the advertisement is randomly shown. The advertiser can also set the single day or total display times of the single advertisement on the same terminal, and when the display times of the advertisement on the terminal reach a preset value, the display of the advertisement on the terminal is suspended.

The embodiment refines the processing mode of the data of the advertiser, can specify various advertisement display rules, enables the operation of the advertiser to be more flexible, reduces the data processing amount of the advertiser, improves the efficiency of the advertiser, and is easier to change. According to the embodiment, after initial configuration is completed, non-technical personnel can replace and modify the advertisement and the rule, so that the operation threshold is reduced, and the usability of the system is greatly improved.

Accordingly, as shown in fig. 3, there is provided a delivery method for matching an advertisement according to advertiser-provided information, comprising the following steps.

S1, receiving user data and classification by using the classification module; wherein the user data comprises at least user unique identification information.

In this step, user data and a classification are first obtained, where the user data is used for subsequent user identification and the classification is used for advertisement matching. The basic steps executed in this embodiment in this step are also the basis for the execution of the subsequent steps.

And S2, receiving an advertisement request.

In this step, the received advertisement request includes information of the user terminal. The advertisement requests of different applications contain different terminal information, and the same application can obtain different information in different terminals due to different user settings. Therefore, the present embodiment can obtain more stable and reliable effects from the most basic data.

And S3, judging whether the data exists in the user data.

In this step, the data included in the advertisement request is matched with the data acquired in step S1, and if the matching of the unique user identification information is successful, it is determined that the unique user identification information exists in the user data, and the highest matching degree is an effective matching. And if the matching fails, putting the advertisement according to the common advertisement.

And S4, advertising can be launched according to the classified distribution.

In this step, it is confirmed that an advertisement can be delivered according to the classification condition in the effective matching. If a plurality of advertisements can be delivered, determining the only advertisement which can be delivered according to the preset rule, and carrying out the next step.

And S5, advertising.

In this step, the advertisement determined in step S4 to be delivered is delivered. The putting mode can be a direct-throwing mode or a bidding mode. The frequency or number of advertisement impressions can also be controlled in this step.

In the embodiment, the data of the advertiser are combined, so that the advertisement is more accurately and stably targeted, and the influence of the setting of the user terminal on the data acquisition is avoided. Meanwhile, the method can be combined with the existing user orientation method, so that the method is wider in application range.

In a fourth embodiment of the present invention, as shown in fig. 4, a bank advertisement delivery system is provided, which includes a data module 210, a customer classification module 220 and a delivery module 230.

A bank usually has multiple APPs, such as a mobile banking client and a credit card client, and in the same APP, there are multiple financial products. When a customer installs a mobile client, the bank tends to also issue credit cards to him, or recommend financial products such as funds to him. However, due to the security requirement of bank data, the privacy requirement of the privacy information related to assets and the like is high, and the privacy requirement cannot be opened to a third-party platform, but the mining of potential customers or the pull of low-activity users by a bank can be completed through the third-party platform.

In particular, bank Z communicates user data to data module 210 by way of an API interface. The user data comprises user unique identification information and the use condition of bank APP. Bank Z has two types of APP: a mobile phone client E and a credit card client F. The user data includes the installation and usage frequencies of E and F. The frequency of use may be the original data of the login or the data obtained by classifying the user. The data transmission between the data module 210 and the advertiser is encrypted. The encryption transmission method mainly uses encryption technology, digital signature technology, timestamp, digital certificate technology, etc., and the technology adopted in this embodiment may be secure session layer protocol (SSL), and may also be encryption or security technology adopted by banks.

After the data module 210 receives the data, the customer classification module 220 classifies the customers according to the customer data and assigns the deliverable advertisements to the classifications. If the usage of the bank APP received by the data module 210 is raw data, the data module 210 needs to process the data according to a preset rule to complete the classification of the user. There is only one category per user, but there may be multiple advertisements placed under one category. The data module 220 is preset with a plurality of data classification modules, and supports a plurality of logical operations of ' and ', ' or ' not ' and the like of a plurality of characteristic data. The relationship between the various bank APPs is also a criterion for classifying users. For example, if the user a only installs the mobile phone client E, the user a is recommended to transact an advertisement with a credit card. And the user B only installs the credit card client F, and then recommends the convenient operation of the mobile phone client or the star financing product to the user B. And if the user C installs the mobile phone client E and the credit card client F, recommending star financing products or collaborating and promoting merchants to the user C.

Upon receiving the advertisement request, the placement module 230 places the placeable advertisements selected by the advertiser according to the classification. Advertisement delivery needs to be performed according to the classification of users. From the perspective of data security, advertisers cannot handle private data relating to user assets, personal information, etc. as user characteristics on the platform.

As a variation of this embodiment, a bank advertising system may include an update module 240.

And an updating module 240 for updating the contents of the data module 210 and the customer classification module 220. The update module 240 may employ periodic or aperiodic updates.

The embodiment aims at the special industry of banks, and limits the user characteristic data aiming at the characteristic of high confidentiality, so that the data is safer. Meanwhile, compared with other embodiments, the system enhances the encryption measure, and is beneficial to improving the data security. In the embodiment, various templates are preset for data processing of the bank, and the logic operation of various feature data is supported, so that the operation of an advertiser is more convenient.

While, for purposes of simplicity of explanation, the foregoing method embodiments have been described as a series of acts or combination of acts, it will be appreciated by those skilled in the art that the present invention is not limited by the illustrated ordering of acts, as some steps may occur in other orders or concurrently with other steps in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.

It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device-like embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The steps in the method of the embodiments of the present application may be sequentially adjusted, combined, and deleted according to actual needs.

The device and the modules and sub-modules in the terminal in the embodiments of the present application can be combined, divided and deleted according to actual needs.

In the several embodiments provided in the present application, it should be understood that the disclosed terminal, apparatus and method may be implemented in other manners. For example, the above-described terminal embodiments are merely illustrative, and for example, the division of a module or a sub-module is only one logical division, and there may be other divisions when the terminal is actually implemented, for example, a plurality of sub-modules or modules may be combined or integrated into another module, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.

The modules or sub-modules described as separate parts may or may not be physically separate, and parts that are modules or sub-modules may or may not be physical modules or sub-modules, may be located in one place, or may be distributed over a plurality of network modules or sub-modules. Some or all of the modules or sub-modules can be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, each functional module or sub-module in the embodiments of the present application may be integrated into one processing module, or each module or sub-module may exist alone physically, or two or more modules or sub-modules may be integrated into one module. The integrated modules or sub-modules may be implemented in the form of hardware, or may be implemented in the form of software functional modules or sub-modules.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.

The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims

1. A delivery system for matching advertisements based on advertiser provided information, comprising: comprises a classification module and a delivery module;

2. A delivery system for matching advertisements based on advertiser supplied information as recited in claim 1, further comprising an update module;

3. A delivery system for matching ads based on advertiser supplied information, as recited in claim 1, wherein the data of the classification module is either manually uploaded by the advertiser or automatically obtained through an API.

4. A delivery system for matching advertisements based on advertiser supplied information as recited in claim 1, wherein one of said user data corresponds to one of said categories, and one of said categories may correspond to a plurality of said user data.

5. A delivery system for matching advertisements based on advertiser supplied information as recited in claim 1, wherein the classification module includes a data unit and a customer classification unit;

6. A delivery system for matching advertisements based on advertiser supplied information as recited in claim 5, wherein the categories are settable by the advertiser.

7. A method for matching advertisements based on advertiser provided information, comprising:

A. receiving user data and a classification using a classification module according to any one of claims 1-6; wherein the user data comprises at least user unique identification information;

B. upon receiving an advertisement request, placing a placeable advertisement selected by an advertiser according to the classification using the placement module of any of claims 1-6.

8. A bank advertisement delivery system is characterized in that: the system comprises a data module, a customer classification module and a delivery module;

9. A delivery system for matching advertisements based on advertiser supplied information as recited in claim 8, further comprising an update module;

10. A delivery system for matching advertisements with advertiser-provided information as recited in claim 8, wherein the relationship between the plurality of bank APPs is also a criterion for classifying users.