TWM663006U - Intelligent push system - Google Patents

Abstract

A smart push system is applicable to a client electronic device for a client to operate, and the smart push system includes a storage unit and a processing unit electrically connected to the storage unit. The storage unit stores a plurality of user identification codes generated by a data analysis tool, and a plurality of user analysis data corresponding to the user identification codes. The processing unit receives an identity information from the client electronic device, and the identity information matches one of the user identification codes. The processing unit obtains a preference category information according to the user analysis data corresponding to the matched user identification code. The processing unit transmits a recommendation message related to the preference category information to the client electronic device, so that the client can receive marketing content that he or she is interested in.

Description

Intelligent push system

The invention relates to a push system, in particular to an intelligent push system for actively recommending marketing contents to customers.

In recent years, many financial institutions have introduced online customer service systems to serve customers and can proactively push various promotional information to customers. However, since there are hundreds of types of promotional information, if all promotional information is simply pushed to all customers, customers are likely to ignore the pushed content due to receiving too much information and miss the information they are interested in. Therefore, how to find out the content that customers are interested in and push relevant promotional information to improve the effectiveness of marketing has become an issue worth discussing.

In order to improve the existing technology, one of the purposes of the present invention is to provide an intelligent push system that can analyze customer data and perform customized push.

The novel intelligent push system is applicable to a client electronic device for operation by a client. The intelligent push system comprises a storage unit and a processing unit.

The storage unit stores a plurality of user identification codes generated by a data analysis tool and a plurality of user analysis data respectively corresponding to the user identification codes. The processing unit is electrically connected to the storage unit.

The processing unit receives identity information from the client electronic device, and the identity information is matched to one of the user identification codes; the processing unit obtains preference category information based on the user analysis data corresponding to the matched user identification code; the processing unit transmits a recommendation message related to the preference category information to the client electronic device.

In some implementations of the novel intelligent push system, the processing unit analyzes the behavioral data from the client electronic device through the data analysis tool, calculates the corresponding user identification code and the user analysis data, and stores the user identification code and the user analysis data in the storage unit.

In some implementations of the novel intelligent push system, the behavior data includes input text information from the client electronic device.

In some implementations of the novel intelligent push system, the behavior data includes browsing or clicking information from the client electronic device.

The effect of the present invention is that: by using the user identification codes and the user analysis data generated by the data analysis tool stored in the storage unit, after the processing unit receives the identity information from the client electronic device, the processing unit obtains the preference category information according to the user analysis data corresponding to the matched user identification code, and actively pushes the recommendation information related to the preference category information to the client electronic device, so that the customer can receive the marketing content that he or she is interested in, which helps to improve the accuracy of marketing promotion.

Before the present invention is described in detail, it should be noted that, unless otherwise specifically defined, the term "electrically connected" in this patent specification is used to describe the "coupled" relationship between computer hardware (e.g., electronic systems, equipment, devices, units, components), and generally refers to "wired electrical connections" achieved by physically connecting multiple computer hardware through conductors/semiconductor materials, and "radio connections" that achieve wireless data transmission using wireless communication technology (e.g., but not limited to wireless networks, Bluetooth, and electromagnetic induction, etc.). On the other hand, unless otherwise specifically defined, the "electrical connection" described in this patent specification also generally refers to a "direct electrical connection" achieved by directly coupling multiple computer hardware to each other, and an "indirect electrical connection" achieved by indirectly coupling multiple computer hardware through other computer hardware.

Before the present invention is described in detail, it should be noted that the "unit" described in this patent specification represents computer hardware rather than software. For example, a "processing unit" is used to represent computer hardware with data processing functions. On the other hand, the "unit" described in this patent specification can refer to a single computer hardware with a specific function, or a group of computer hardware with similar functions. For example, a "processing unit" can refer to a single processor with data processing functions, but it can also refer to a collection of a group of processors.

Referring to FIG. 1 , an embodiment of the novel intelligent push system 100 is applicable to be electrically connected to a client electronic device 9 via a network. The intelligent push system 100 is managed by a financial service institution, for example. The client electronic device 9 belongs to a client and is operated by the client, and the client electronic device 9 can be a mobile phone, a tablet computer, a laptop computer or a desktop computer.

In this embodiment, the smart push system 100 is a server device, and the smart push system 100 includes a processing unit 1 suitable for being electrically connected to the client electronic device 9 via the Internet, and a storage unit 2 electrically connected to the processing unit 1. More specifically, in this embodiment, the processing unit 1 is a processor implemented with an integrated circuit and having data calculation and instruction receiving and sending functions, and the storage unit 2 is a data storage device for storing digital data (such as a hard disk, or other types of computer-readable recording media). However, in similar implementations, the processing unit 1 may also be a circuit assembly including a processor and a circuit board, and the storage unit 2 may also be a collection of multiple storage devices of the same or different types. Furthermore, in other embodiments, the intelligent push system 100 may also be implemented as multiple server devices electrically connected to each other. In this case, the processing unit 1 may be implemented as a collection of multiple processors/circuit assemblies respectively possessed by the server devices, and the storage unit 2 may be implemented as a collection of multiple storage devices respectively possessed by the server devices. Based on the above, the actual implementation of the intelligent push system 100 in terms of computer hardware is not limited to this embodiment.

With reference to FIG. 2 , the following is an exemplary and detailed description of how the smart push system 100 of this embodiment operates.

First, in step S1, the processing unit 1 analyzes the behavior data from the client electronic device 9 through the data analysis tool, calculates a corresponding user identification code and a user analysis data, and stores the user identification code and the user analysis data in the storage unit 2. The user identification code is used to identify the client electronic device 9, and the user analysis data is used to record the category information of the customer's preference. The data analysis tool is, for example, Google Analytics (GA for short), but is not limited thereto.

The processing unit 1 analyzes the behavior data from the client electronic device 9 through the data analysis tool, and the behavior data includes text, browsing and click information input by the client through the client electronic device 9 in the web page or application provided by the financial service institution. For example, if the processing unit 1 determines that the customer often inputs questions related to mortgages in the online customer service on the client electronic device 9, the processing unit 1 includes mortgages as a category of the customer's preference and records it in the user analysis data. On the other hand, if the processing unit 1 determines that the customer often clicks on credit card-related interfaces on websites or applications or browses credit card-related screens for a long time on the client electronic device 9, the processing unit 1 includes credit cards as a category of the customer's preference and records it in the user analysis data.

In practice, the smart push system 100 is used to serve multiple customers, so the smart push system 100 can calculate multiple user identification codes corresponding to multiple customers, and multiple user analysis data corresponding to the user identification codes, and store or update the user identification codes and the user analysis data to the storage unit 2.

Next, in step S2, the processing unit 1 receives identity information from the client electronic device 9, and the identity information is matched to one of the user identification codes, and the identity information is used to identify the identity of the client. In practice, for example, when the customer operates the client electronic device 9 to run on the webpage provided by the financial service institution, the user identification code and the user analysis data corresponding to the client electronic device 9 will be generated. When the customer continues to operate the client electronic device 9 to log in to the online bank on the webpage to perform the verification function, the identity information will be generated. Since the identity information is generated at the same dialog working stage as the user identification code on the same webpage, the identity information can be matched to the user identification code corresponding to the client electronic device 9, achieving a binding effect.

Next, in step S3, the processing unit 1 searches the corresponding user analysis data from the storage unit 2 according to the matched user identification code to obtain a preference category information corresponding to the customer. The preference category information is information in the user analysis data indicating the service category that the customer is interested in, such as credit cards, loans, deposits, investments, etc., but not limited thereto.

Next, in step S4, the processing unit 1 transmits a recommendation message related to the preference category information to the client electronic device 9. For example, when the financial service institution is promoting a promotional activity related to credit cards, and the preference category information indicates that the customer is interested in credit cards, the processing unit 1 uses the promotional information related to credit cards as the recommendation message, and actively pushes the recommendation message to the client electronic device 9 for the customer to view.

In summary, through the user identification codes and the user analysis data generated by the data analysis tool stored in the storage unit 2, after the processing unit 1 receives the identity information from the client electronic device 9, the processing unit 1 obtains the preference category information according to the user analysis data corresponding to the matched user identification code, and actively pushes the recommendation information related to the preference category information to the client electronic device 9, so that the customer can receive the marketing content that he is interested in, which helps to improve the accuracy of marketing promotion, and thus can indeed achieve the purpose of this novel technology.

However, the above is only an example of the implementation of the present invention, and it cannot be used to limit the scope of the implementation of the present invention. All simple equivalent changes and modifications made according to the scope of the patent application of the present invention and the content of the patent specification are still within the scope of the present patent.

100: Intelligent push system 1: Processing unit 2: Storage unit 9: Client electronic device

Other features and functions of the present invention will be clearly presented in the implementation method of the reference drawings, wherein: FIG. 1 is a block diagram, exemplarily showing an implementation example of the present invention's intelligent push system; and FIG. 2 is a flow chart, used to assist in explaining the operation method of the implementation example.

100: Intelligent push system

1: Processing unit

2: Storage unit

9: Client electronic devices

Claims (4)

A smart push system is applicable to a client electronic device for operation by a client, and the smart push system comprises: A storage unit for storing a plurality of user identification codes generated by a data analysis tool and a plurality of user analysis data corresponding to the user identification codes; and A processing unit electrically connected to the storage unit; The processing unit receives an identity information from the client electronic device, and the identity information matches one of the user identification codes; The processing unit obtains a preference category information according to the user analysis data corresponding to the matched user identification code; The processing unit transmits a recommendation message related to the preference category information to the client electronic device. As described in claim 1, the processing unit analyzes the behavioral data from the client electronic device through the data analysis tool, calculates the corresponding user identification code and the user analysis data, and stores the user identification code and the user analysis data in the storage unit. An intelligent push notification system as described in claim 2, wherein the behavior data includes input text information from the client electronic device. An intelligent push system as described in claim 2, wherein the behavioral data includes browsing or click information from the client electronic device.

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