TWI712977B - Active Solicitation System - Google Patents

Abstract

An active fundraising system includes a beacon device, a mobile device, a bank database, and a bank server. The mobile device is pre-installed with an application provided by a bank, and the Bluetooth function is enabled. When a user moves the mobile device to be adjacent to the beacon device, the beacon device uses the beacon-related technology to locate and identify the mobile device, and notify the bank server so that the bank server can follow the mobile device According to the identification result, select at least one of the multiple promotion information stored in the bank database to push to the mobile device, so that when the user is willing to donate, choose how to donate in the application to improve The success rate of donations.

Description

Active Solicitation System

The present invention relates to a fundraising system, in particular to an active fundraising system.

At present, when various specific groups (such as public welfare groups) plan to accept donations from the public, they can only announce to provide the deposit account of the designated bank, and the public can transfer the funds to the designated deposit account to facilitate the specific group to check the account and send the receipt. Because specific groups can only passively receive donations through announcement messages, people who want to donate also need to write down relevant specific accounts and messages before they can transfer donations and send donations back to specific groups. As a result, the people who were willing to donate have a high chance of giving up the donation in these tedious processes. Therefore, how to improve the existing donation process experience has become a problem to be solved.

Therefore, the purpose of the present invention is to provide an active fundraising system that effectively increases the donation rate.

Therefore, the present invention provides an active fundraising system, which includes a beacon device, a mobile device, a bank database, and a bank server. The beacon device supports the related technology of the beacon. The mobile device is pre-installed with an application program (APP) provided by a bank, and the Bluetooth function is turned on. The bank database belongs to the bank, and stores multiple solicitation information of multiple specific groups. The bank server belongs to the bank and establishes a connection with the beacon device and the bank database.

Wherein, when the user moves the mobile device to be adjacent to the beacon device, the beacon device locates and recognizes the mobile device to notify the bank server to select the bank information according to the identification result of the mobile device At least one of the promotion information stored in the library is pushed to the mobile device.

In some implementation aspects, each of the solicitation information includes a donation message corresponding to a specific group, a specific group description, and a donation purpose. When the mobile device receives one of the solicitation information, the donation message is displayed. When the user is willing to donate to the corresponding specific group, the mobile device selects the donation message, and the mobile device opens the application to display a specific group description and a donation purpose corresponding to the solicitation information.

In some implementations, the user, after viewing the description of the specific group and the purpose of the donation, uses the mobile device to select the transaction account of a specific group in the application, whether to make an anonymous donation, and whether a receipt is required , And enter a donation amount and a transaction password, so that the bank server will remit the donation amount to the transaction account of the specific group from a user account of the user.

In some implementation aspects, the bank server periodically generates a donation detail and a donor profile corresponding to each specific group to provide the specific group for reconciliation and receipt sending.

In other implementation aspects, the active fundraising system further includes an analysis system connected to the bank server and the bank database. Wherein, when the bank server receives the identification result of the beacon device to the mobile device, it determines a customer preference probability corresponding to the user according to the identification result. When the bank server determines that the customer's preference probability is greater than a threshold, the bank server chooses to push the at least one of the offer information to the mobile device.

In some embodiments, when the bank server determines that the customer’s preference probability is greater than the threshold, and the number of donations made by the user in the last predetermined period is greater than a predetermined number, the bank server chooses not to Any one of the solicitation information is pushed to the mobile device.

In some embodiments, when the bank server determines that the customer's preference probability is less than or equal to the threshold, the bank server chooses not to push any of the offer information to the mobile device.

In some implementation aspects, the bank database also stores multiple donation data of multiple customers of the bank and multiple donation data of these specific groups. Based on the donation data, the analysis system uses big data analysis technology to establish multiple customer models corresponding to the customers who have donated, and based on the customer models, and a recent donation of any of the customers who have donated Time, a donation frequency, a donation amount, and a donation object generate the customer's preference probability corresponding to the customer. These customer models correspond to different specific groups. The analysis system uses big data analysis technology to establish a specific group model corresponding to each specific group based on multiple categories of the specific groups and the donated data, and generates the threshold value according to the specific group model. The donated information includes at least one of the donor’s age, gender, family status, and donation amount.

In some implementations, the analysis system uses big data analysis technology to establish another customer model corresponding to each customer based on multiple personal data of the customers who have not donated more than a predetermined time, and based on the The customer model, and any of the personal data of the customer who has not donated any more than the predetermined time, generates the customer preference probability. Each personal data includes at least one of an age, a gender, a marital status, and a child status.

The effect of the present invention is that the mobile device is pre-installed with the application provided by the bank and the Bluetooth function is turned on, and the beacon device is set in a suitable place, so that when the user is near the mobile device The target device can be located and successfully identified, so that the bank server pushes one of the solicitation information to the mobile device based on the identification result and the solicitation information of the specific groups stored in the bank database. In this way, the user can not only clearly know the content of the promotion of the specific group, but also can easily complete the donation by simply selecting or inputting the location, which can effectively increase the donation rate.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are represented by the same numbers.

Referring to FIG. 1, a first embodiment of the active fundraising system of the present invention includes a beacon device 2, a mobile device 3, a bank database 4, and a bank server 1. The bank server 1 and the bank database 4 belong to a bank, and the bank server 1 establishes a connection with the bank database 4, for example, an electrical connection is formed in a wired manner. In this embodiment, the mobile device 3 is a smart phone, and in other embodiments, the mobile device 3 may also be a tablet computer or other electronic devices that can be connected to the Internet, without limitation.

The beacon device 2 supports related beacon technologies, such as iBeacon technology of iOS system or Beacon technology of Android system, and establishes a connection with the bank server 1. The bank database 4 stores a plurality of solicitation information of a plurality of specific groups, and each of the solicitation information includes a donation message corresponding to the specific group, a specific group description, and a donation purpose. For example, each specific group is a public welfare group, and one of the specific groups is the Xihaner Foundation. The corresponding donation message is "Haner Family Care", and the specific group description is "The Xihaner Foundation is A group of parents of the mentally disabled, with the core of lifelong care and education for the mentally disabled." The purpose of the donation is to "give the Han'er family a peaceful and enduring future."

The mobile device 3 is pre-installed with an application (APP) provided by the bank and turns on the Bluetooth function. The application is, for example, a mobile banking application corresponding to the bank, that is, an online banking application. When a user carries the mobile device 3 and moves adjacent to the beacon device 2, the beacon device 2 locates and recognizes the mobile device 3. For example, when the Xihaner Foundation conducts fundraising activities in a mall or on the sidewalk, the beacon device 2 will be set up at the place where the activities are handled. Then when the user walks in the mall or sidewalk, there will be Proximity to the beacon device 2.

After the beacon device 2 locates and recognizes the mobile device 3 successfully, it notifies the bank server 1 so that the bank server 1 selects the stored in the bank database 4 according to the identification result of the mobile device 3 At least one of the promotion information is pushed to the mobile device 3. For example, the bank server can select the solicitation information according to preset simple rules, such as the location set by the beacon device (that is, the specific group related to the solicitation activity), or the user The specific groups that have donated in the past three months or six months are not limited to this.

When the mobile device 3 receives one of the solicitation information, the donation message is displayed. When the user is willing to donate to the corresponding specific group, the mobile device 3 selects the donation message so that the mobile device 3 opens the application to display the specific group description and the purpose of the donation corresponding to the information .

After viewing the description of the specific group and the purpose of the donation, the user uses the mobile device 3 to select the transaction account of a specific group in the application, whether to make an anonymous donation, and whether a receipt is required, and enter a donation amount and a The transaction password enables the bank server 1 to remit the donation amount from a user account of the user to the transaction account of the specific group to complete the user's donation to the specific group. That is to say, each of the specific group and the user is a customer of the bank, that is, the bank has its bank account, and the active fundraising system can operate effectively. In addition, the bank server 1 also periodically (e.g., every month) generates a donation detail and a donor profile corresponding to each specific group, so as to provide the specific group for reconciliation and receipt sending.

Referring to FIG. 1, a second embodiment of the active recruitment system of the present invention further includes an analysis system 5. The analysis system 5 is connected to the bank server 1 and the bank database 4. In this embodiment, the analysis system 5 also belongs to the bank. The second embodiment is substantially the same as the first embodiment. The difference is that the bank database 4 also stores multiple donation data of multiple customers of the bank and multiple donation data of these specific groups.

The analysis system 5 uses big data analysis technology to perform cluster analysis based on the donation data to establish multiple customer models corresponding to the customers who have donated. These customer models correspond to different specific groups. For example, each donation data includes a donation time, a donation frequency, a donation amount, and a donation object of the donor (ie, the customer). In other words, the analysis system 5 can analyze the bank’s customer transfer behaviors (such as donation frequency and donation amount) for the same specific group’s donation account, and give corresponding weights for different behaviors to calculate the The probability value of the customer donating again.

The analysis system 5 also uses big data analysis technology to perform cluster analysis based on multiple personal data of the customers who have not made donations for more than a predetermined period of time to establish another customer model corresponding to each customer. For example, each personal data includes at least one of an age, a gender, a marital status, and a child status. That is to say, the analysis system 5 can analyze the personal information of the customer, and even analyze the customer's transfer and consumption behavior, such as swiping card store information, to estimate the donation behavior that the customer may prefer.

The analysis system 5 also uses big data analysis technology to perform cluster analysis based on multiple categories of the specific groups and the donated data to establish a specific group model corresponding to each specific group, and then calculate the corresponding specific group A threshold. Each donated data includes at least one of a basic data of the donor (such as an age, a gender, a family status), a donation frequency, and a donation amount. The categories of these specific groups are distinguished according to the attributes and nature of public welfare groups, such as vegetatives, youth and children protection, women's care, elderly services, special medical care, animal protection groups, etc.

When the bank server 1 receives the identification result of the beacon device 2 on the mobile device 3, the bank server 1 determines which customer of the bank the user is based on the identification result, and determines whether the customer is The customer model corresponding to the previous donation selection determines a customer preference probability corresponding to the user, that is, the probability value of the customer donating again.

When the bank server 1 determines that the customer's preference probability is greater than one of the thresholds, the bank server 1 chooses to push the at least one of the offer information to the mobile device 3. For example, the bank server 1 generates the corresponding threshold according to each specific group model. For example, three public welfare groups have three corresponding thresholds, such as 0.3, 0.4, and 0.5. When the customer prefers the probability (E.g. 0.9) When the threshold is greater than three, the bank server 1 pushes the three promotion information of the three public welfare organizations to the mobile device 3. Alternatively, the bank server 1 only pushes to the mobile device 3 the offer information of the person with the largest difference between the customer preference probability and the threshold (for example, the threshold 0.3). Alternatively, the bank server 1 can also determine how much information to push to the mobile device 3 when the customer's preference probability is greater than the threshold according to various pre-designed rules.

For another example, referring to Table 1, customers A, B, and C have not donated any more or have not donated after the predetermined time (such as one year), then the customer preference probability is 1.1, 1.2, 0.5, respectively. Refer to Table 2. Customers D, E, and F have made donations in the past year, and the calculated preference probabilities of this customer for specific groups X and Y are 1.4, 0.8, 1.2, and 0.3 respectively. project age gender Have you donated Marital status Have children Probability of Customer Preference Is it greater than the threshold Customer A 30 Female Yes unmarried no Weights 0.3 0.3 0.4 0.1 0 1.1 Yes Customer B 45 male Yes married Have Weights 0.4 0.1 0.4 0.2 0.1 1.2 Yes Customer C 20 male no unmarried no Weights 0.2 0.1 0 0.1 0.1 0.5 no Table I project Specific group Do you donate within 6 months Donation frequency (times/year) Donation amount Probability of Customer Preference Is it greater than the threshold Customer D X Yes 12 1000 Weights 0.1 0.1 1.2 1.4 Yes Customer D Y Yes 6 500 Weights 0.1 0.1 0.6 0.8 no Customer E X no 1 5000 Weights 0.1 1.0 0.1 1.2 Yes Customer F Y Yes 1 1000 Weights 0.1 0.1 0.1 0.3 no Table II

Furthermore, when the bank server 1 determines that the customer’s preference probability is greater than the threshold, and the number of donations made by the user during the most recent predetermined period is greater than a predetermined number, the bank server 1 chooses not to use the solicitation information Any one of them is pushed to the mobile device 3. For example, the predetermined period is one month, and the number of reservations is twice, which is not limited to this. When the bank server 1 determines that the customer's preference probability is less than or equal to the threshold, that is, when the customer's preference probability is less than or equal to each of the thresholds, the bank server 1 chooses not to choose any of the offer information, Push to the mobile device 3.

In addition, it should be particularly supplemented that: in this embodiment, the number of the beacon device 2 is one, which is only for convenience of description. In other embodiments, the number of the beacon devices 2 may be multiple, so as to be installed in different suitable places for active recruitment.

In summary, the beacon device is used to locate and successfully identify the neighboring mobile device to notify the bank server based on the identification result of the mobile device and the specific groups stored in the bank database. Advising information, push one of the soliciting information to the mobile device. Alternatively, the analysis system can create the customer models and the specific group models based on the donation data or the personal data of the customers and the donated data of the specific groups, so that the bank server can determine How to choose at least one of the solicitation information. With the active solicitation system, the user can not only use the mobile device's application to clearly know the solicitation content of the specific group, but also can choose how to donate and complete the donation easily by simply selecting or typing in Therefore, it can effectively increase the donation rate, so it can indeed achieve the purpose of the invention.

However, the above are only examples of the present invention. When the scope of implementation of the present invention cannot be limited by this, all simple equivalent changes and modifications made in accordance with the scope of the patent application of the present invention and the content of the patent specification still belong to Within the scope of the patent for the present invention.

1········Bank Server 2········ Beacon Device 3········Mobile device 4········ Bank Database 5········Analysis System To

Other features and effects of the present invention will be clearly presented in the embodiments with reference to the drawings, in which: FIG. 1 is a block diagram illustrating a first embodiment and a second embodiment of the active recruitment system of the present invention.

1········Bank Server 2········ Beacon Device 3········Mobile device 4········ Bank Database 5········Analysis System

Claims (9)

An active fundraising system, suitable for a user, and includes: a beacon device, supporting beacon technology; a mobile device, pre-installed an application (APP) provided by a bank, and open the blue Bud (Bluetooth) function; and a bank database, which belongs to the bank, and stores multiple solicitation information of multiple specific groups; a bank server, which belongs to the bank, and establishes a connection with the beacon device and the bank database Line, wherein when the user moves the mobile device adjacent to the beacon device, the beacon device locates and recognizes the mobile device to notify the bank server to select the mobile device according to the recognition result of the mobile device At least one of the solicitation information stored in the bank database is pushed to the mobile device. According to the active solicitation system of claim 1, wherein each piece of the solicitation information includes a donation message corresponding to a specific group, a specific group description, and a donation purpose, and when the mobile device receives one of the solicitation information When the person is the person, the donation message is displayed. When the user is willing to donate to the corresponding specific group, the mobile device selects the donation message, and the mobile device opens the application to display a specific information corresponding to the solicitation information Group description and a purpose of donation. For example, the active solicitation system of claim 2, wherein the user, after viewing the description of the specific group and the purpose of the donation, uses the mobile device to select the transaction account of a specific group in the application, whether to make an anonymous donation, And whether a receipt is required, and input a donation amount and a transaction password, so that the bank server will remit the donation amount to the transaction account of the specific group from a user account of the user. The active solicitation system according to claim 3, wherein the bank server periodically generates a donation detail and a donor profile corresponding to each specific group to provide the specific group for reconciliation and receipt delivery. The active fundraising system according to claim 1, further comprising an analysis system connected to the bank server and the bank database, wherein when the bank server receives the identification result of the beacon device on the mobile device When determining a customer preference probability corresponding to the user according to the identification result, when the bank server determines that the customer preference probability is greater than a threshold, the bank server selects at least one of the promotion information, Push to the mobile device. The active solicitation system of claim 5, wherein when the bank server determines that the customer’s preference probability is greater than the threshold, and the number of donations made by the user in the most recent predetermined period is greater than a predetermined number, the bank server The device chooses not to push any of the solicitation information to the mobile device. The active fundraising system of claim 6, wherein, when the bank server determines that the customer’s preference probability is less than or equal to the threshold, the bank server chooses not to push any of the fundraising information to The mobile device. For example, the active solicitation system described in claim 7, wherein the bank database also stores multiple donation data of multiple customers of the bank and multiple donation data of these specific groups, Based on the donation data, the analysis system uses big data analysis technology to establish multiple customer models corresponding to the customers who have donated, and based on the customer models, and a recent donation of any of the customers who have donated Time, a donation frequency, a donation amount, and a donation object generate the customer’s preference probability corresponding to the customer. The customer models correspond to different specific groups. The analysis system is based on multiple categories of the specific groups And the donated data uses big data analysis technology to establish a specific group model corresponding to each specific group, and generate the threshold according to the specific group model. Each donated data includes an age, a gender, and a gender of the donor. At least one of a family status and a donation amount. The active solicitation system according to claim 8, wherein the analysis system uses big data analysis technology to establish another customer model corresponding to each customer based on multiple personal data of the customers who have not donated more than a predetermined time , And generate the customer preference probability based on the customer model and any of the personal data of the customer who has not donated more than the predetermined time. Each personal data includes an age, a gender, a marital status, and a presence or absence At least one of the child states.

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