JP7233232B2 - NOTIFICATION METHOD SELECTION DEVICE, NOTIFICATION METHOD SELECTION METHOD, AND PROGRAM - Google Patents

Description

The present invention relates to a notification method selection device, a notification method selection method, and a program.

2. Description of the Related Art With the development of computer and communication network technologies such as the Internet, the method of giving business notices to customers has changed from mailing printed materials to electronic notices. Electronic notification is notification using e-mail, messaging service, etc. via a communication network. The messaging service is, for example, a mechanism for transmitting and receiving contents such as messages using functions such as RCS (Rich Communication Services), SMS (Short Message Service), and MMS (Multimedia Messaging Service). RCS is a standard for implementing an instant messenger for mobile phones at the terminal level, and uses telephone numbers instead of user names and e-mail addresses when communicating with other parties. RCS is designed with interconnection between different communication carriers in mind. In addition, in RCS, the upper limit of the number of characters that can be transmitted is set larger than in conventional SMS and MMS. Japanese Patent Laid-Open No. 2002-200000 discloses a technique for sending an e-mail to an address that is highly likely to be seen by the customer immediately when notifying the customer.

Japanese Patent Application Laid-Open No. 2007-241732

However, many companies offer similar services with electronic notifications such as e-mail, and customers may receive numerous notifications. With a large number of electronic notices, it can happen that the notices are left unopened by the customer. In this case, the customer cannot be made aware of the contents of the notification. As a countermeasure, it is conceivable to return to the method of notifying the customer by mailing printed matter. This is because, in general, when a physical printed matter is delivered, it is believed that the will to check the contents of the matter is likely to work. However, since printing and shipping costs are required to send printed materials by mail, returning to the method of notifying by printed materials has the problem of increasing costs compared to electronic notification.

SUMMARY OF THE INVENTION The present invention has been made in view of such circumstances, and its object is to make it easier for customers to recognize the content of the notification when notifying the customer, and to prevent an increase in the cost required for notification. To provide a notification method selection device, a notification method selection method, and a program capable of

In order to solve the above-described problems, the present invention provides a track record of responses to a printed notification, which is a notification by printed matter, or an electronic notification, which is a notification by an electronic method. an analysis unit that selects at least one of the print notification and the electronic notification as a notification method for notifying the customer of the information based on the estimated budget; and a processing unit that outputs the result of the selection by the analysis unit. , wherein the analysis unit estimates a response rate for the print notification and a response rate and an opening rate for the message notification as the electronic notification based on the actual results, and the estimated response rate for the message notification If the message response rate is smaller than the notification response rate, the notification method is set to the message notification if the opening rate of the message notification is equal to or higher than the threshold, and the notification method is set to the print notification if the opening rate of the message notification is less than the threshold. and setting the threshold in the selection process such that the cost does not exceed the budget and the opening rate of the message notification corresponding to the threshold is equal to or higher than a preset target opening rate.

Further, in order to solve the above-described problems, the present invention provides a record of reactions made by an analysis unit to a print notification that is a notification by a printed matter or an electronic notification that is a notification by an electronic method, and a notification selecting at least one of the print notification and the electronic notification as a notification method for notifying the customer of the information based on the budget allocated for performing and the analysis unit estimates the response rate for the print notification and the response rate and the opening rate for the message notification as the electronic notification based on the results, and the estimated response rate for the message notification is If the response rate of the print notification is smaller than the response rate of the print notification, the notification method is set to the message notification if the opening rate of the message notification is equal to or higher than the threshold, and the notification method is set to the print notification if the opening rate of the message notification is less than the threshold. A notification method selection method for determining a method and setting a threshold in the selection process such that the cost does not exceed the budget and the opening rate of the message notification corresponding to the threshold is equal to or higher than a preset target opening rate be.

Further, in order to solve the above-described problems, the present invention provides a program for operating a computer as the notification method selection device described above, wherein the computer functions as each unit included in the notification method selection device. It is a program for

As described above, according to the present invention, it is possible to select a method of notification within a range that does not exceed the budget, based on the results of responses to notifications. Therefore, the notification method can be selected so that the contents of the notification can be easily recognized by the customer as much as possible within the budget. In addition, since each customer can choose to receive notification by printed matter or by electronic means, the costs required for notification can be reduced compared to returning to the method of notifying all customers by printed matter. Is possible. In other words, it is possible to make the contents of the notification easier for the customer to recognize, and to prevent the cost required for the notification from increasing.

1 is a block diagram showing the configuration of a notification method selection system 1 to which a notification method selection device 10 according to a first embodiment is applied; FIG. 1 is a block diagram showing the configuration of a notification method selection device 10 according to a first embodiment; FIG. 4 is a diagram showing a configuration example of information stored in a response history information storage unit 103 according to the first embodiment; FIG. 4 is a flowchart for explaining the operation of the notification method selection device 10 according to the first embodiment; It is a block diagram which shows the structure of 10 A of notification method selection apparatuses by 2nd Embodiment. It is a figure which shows the structural example of the information memorize|stored in 103 A of response history information storage parts by 2nd Embodiment.

An embodiment of the present invention will be described below with reference to the drawings.

(First embodiment)
First, the first embodiment will be described.
FIG. 1 is a block diagram showing the configuration of a notification method selection system 1 to which a notification method selection device 10 according to the first embodiment is applied. The notification method selection system 1 is a system for notifying specific customers of various types of information in response to requests from companies and the like. The notification method selection system 1 includes, for example, a notification method selection device 10, a printing device 20, a distribution server 30, a print layout generation device 40, and an electronic layout generation device 50.

The notification method selection device 10 acquires a notification request. The notification request here is a signal transmitted from a terminal device or the like provided in a company or the like to the notification method selection device 10, and is a signal requesting notification from the company to the customer. The notification request includes at least information indicating the destination of the notification, such as the customer's name, address, telephone number, e-mail address, and the like.
Also, the notification request may include the content of the notification. The notice of predetermined content here is a business notice that the company gives to the customer, for example, notifying the amount of the claim or notifying the customer that the insurance that the customer has subscribed to has reached maturity. It is something to do.
The notification method selection device 10 selects a notification method (hereinafter also referred to as a notification method) according to the customer to be notified based on the notification request, and outputs the selection result.

The notification methods in this embodiment are print notification and electronic notification. A print notification is a notification by printed matter, and is a method of notifying by, for example, physical printed matter being delivered to the customer's address. Electronic notification is notification by an electronic method, and is a method of notifying by sending an e-mail or a message using a messaging service to the terminal (desktop, tablet, smartphone, etc.) used by the customer. . The messaging service here is, for example, a mechanism for transmitting and receiving contents such as messages using functions such as RCS (Rich Communication Services), SMS (Short Message Service), and MMS (Multimedia Messaging Service). That is, the electronic notification includes notification by e-mail and notification using a messaging service (hereinafter referred to as message notification).

The notification method selection device 10 outputs print notification instruction data that instructs print notification or electronic notification instruction data that instructs electronic notification, according to the selection result of selecting the notification method.
The print notification instruction data is data obtained by adding information such as the name and address of the customer to whom the notification is to be sent to information to the effect that the print notification is instructed.
The electronic notification instruction data is data obtained by adding information such as the e-mail address of the customer to be notified, the telephone number and account for message notification, etc. to the information to instruct the electronic notification.
When the notification method is print notification, the notification method selection device 10 outputs print notification instruction data to the printing device 20 . When the notification method is electronic notification, the notification method selection device 10 outputs electronic notification instruction data to the distribution server 30 . When the notification method is electronic notification, notification method selection device 10 adds information designating notification by e-mail or notification using a messaging service (hereinafter referred to as message notification) to electronic notification instruction data. may

The printing device 20 uses the print notification instruction data acquired from the notification method selection device 10 to perform notification by printed matter.
When acquiring the print notification instruction data, the printing device 20 requests the layout data from the print layout generation device 40 and acquires the print layout data from the print layout generation device 40 . The print layout data is data indicating the content to be notified by the print notification, for example, print data for printing a paper surface as a printed matter. The print data includes, for example, words and images to be printed, and information indicating layout such as layout on paper.
The printing device 20 prints on paper using the print layout data to generate printed matter. The printing device 20 seals the generated printed matter, attaches the address indicated in the print notification instruction data to the sealed envelope, and performs processing for delivering the envelope to the customer. Send the printed matter to the customer. As a result, the customer is notified by printed matter.

The distribution server 30 performs electronic notification using the electronic notification instruction data acquired from the notification method selection device 10 .
When the distribution server 30 acquires the electronic notification instruction data, the distribution server 30 requests layout data from the electronic layout generation device 50 and acquires the electronic layout data from the electronic layout generation device 50 . The electronic layout data is data indicating the content to be notified by electronic notification, and is, for example, content data indicated in an e-mail or message. Content data includes titles, texts, images, layouts, and information indicating link destinations. Images may include moving images as well as still images.
The distribution server 30 generates the contents of an e-mail using the electronic layout data, and transmits the generated e-mail to the e-mail address used by the customer indicated in the electronic notification instruction data. The distribution server 30 generates message content using the acquired electronic layout data, and transmits the generated message to the message ID used by the customer indicated in the electronic notification instruction data. The message ID is, for example, the customer's telephone number, or the customer's identification number registered in the application that notifies the message.

The print layout generation device 40 transmits print layout data to the printing device 20 in response to a request from the printing device 20 .
The electronic layout generation device 50 transmits electronic layout data to the distribution server 30 in response to a request from the distribution server 30 .

In the above description, the print layout generation device 40 generates the print layout data and the electronic layout generation device 50 generates the electronic layout data. However, the present invention is not limited to this. For example, the notification method selection device 10 may generate either or both of the print layout data and the electronic layout data.

FIG. 2 is a block diagram showing the configuration of the notification method selection device 10 according to the first embodiment. The notification method selection device 10 includes, for example, a notification request acquisition unit 100, an analysis unit 101, a processing unit 102, and a response history information storage unit 103.

The notification request acquisition unit 100 acquires a notification request and outputs the acquired notification request to the analysis unit 101 . The notification request includes information about the notification destination and information about the contents of the notification. The information about the notification destination is information indicating the notification destination, and includes, for example, the name, address, telephone number, e-mail address, message ID, etc. of the customer to be notified. The information about the content of the notification is information indicating the content to be notified and the conditions of the notification. The notification conditions are information indicating conditions for notification, such as a period for notification. For example, in the case of a notification informing the customer of the billed amount, it is necessary to notify the customer before the billed amount is debited, so the notification period is set to one week before the debit date. .

Based on the notification request from the notification request acquisition unit 100, the analysis unit 101 selects a notification method from print notification and electronic notification. The analysis unit 101 analyzes reactions to past notifications given to customers who are notification targets, and selects a notification method according to the analysis results. The reaction to the notification here is a reaction indicating that the customer has recognized the content of the notification, and there are two reactions, for example, response and opening. The reaction here may be both response and unsealing, or may be either response or unsealing.

A response is a response made by a customer according to the content of the notification. For example, when the customer is notified of the billed amount, it is possible to determine that the customer has responded to the notification, such as when the customer applies for a point redemption guide corresponding to the amount. In addition, if you notify that the insurance has reached maturity, if the insurance company has contacted you to continue enrolling in the insurance after maturity, or if you notify that the insurance has reached maturity, , it can be determined that the customer has responded to the notification, such as when an offer to join the student endowment insurance is made.

An open is a customer-initiated opening of a notification. Whether or not the notice has been opened is determined for the electronic notice. For example, in the case of message notification, it is determined whether or not the message has been opened (read), that is, whether or not the electronic notification has been opened by the application that performs the message notification. In the application, for example, when a message is displayed on the application of the terminal used by the customer of the notification destination, it is determined that the message has been opened by transmitting the message to the management server or the like even though the message has been opened. . In the case of notification by e-mail, an e-mail containing an image for confirming opening (hereinafter referred to as an opening confirmation image) and information indicating a link destination is sent. The tamper-evident image, for example, is pre-programmed to access a specific URL (Uniform Resource Locator) when the image is displayed. In this case, it is considered that the e-mail has been opened when the e-mail is opened and the confirmation image is displayed or when a specific URL is accessed by clicking a link destination.

The analysis unit 101 refers to the response history information (see FIG. 3) stored in the response history information storage unit 103 based on the information regarding the notification destination indicated in the notification request (for example, the customer's name). The response history information includes information indicating responses to notifications for each customer, for example, information indicating whether or not responses have been made to notifications sent to customers in the past. The response history information is an example of "a track record of responses to print notifications or electronic notifications".

The analysis unit 101 derives, for example, the response rate and the opening rate for each notification method with respect to notifications made to customers in the past. The response rate here is the ratio of the number of responses to notifications to the number of notifications. Also, the opening rate is the ratio of the number of notifications opened to the number of notifications (limited to notifications by electronic notification methods).

The analysis unit 101 derives the response rate for each of print notification and electronic notification (e-mail notification and message notification), and selects the notification method with the highest response rate as the notification method for the customer. Specifically, when the customer has the highest response rate to notification by e-mail, the analysis unit 101 selects notification by e-mail as the notification method for the customer. The analysis unit 101 selects the message notification as the notification method for the customer when the customer's message notification response rate is higher (larger) than the print notification response rate.

Here, when a printed matter is delivered as an actual object, it is common for people to have the will to pick up the printed matter and check the contents. On the other hand, message notifications do not have a physical form like printed matter, so even if a message is notified to a terminal device or the like, people do not have the will to check the content. . Although the open rate of printed notices cannot be measured like electronic notices, it is considered to be higher than the open rate of electronic notices. In addition, it is thought that most customers respond to print notifications after confirming the contents of such printed materials that they have opened voluntarily. good.
Therefore, if an algorithm is adopted in which a print notification is sent to customers whose message notification response rate is not higher than the print notification response rate, most of the customers will be notified by printed matter. In this case, there is a concern that the cost (printing fee, delivery fee, etc.) for delivering the printed matter will be excessive.

As a countermeasure, in this embodiment, even if the response rate for message notification is not higher (larger) than the response rate for print notification, message notification is sent to customers who have opened the message notification. Only customers whose message notification response rate is not higher (larger) than the print notification response rate and who hardly even open the message notification are notified by printed matter. By doing so, the cost for delivering the printed matter is suppressed as much as possible.
Specifically, even if the message notification response rate is lower (smaller) than the print notification response rate, for example, if the message notification opening rate is equal to or greater than a predetermined threshold, the analysis unit 101 Make sure to select message notifications as the method of notifying customers. This makes it possible to reduce the cost required for notification.

Also, the analysis unit 101 determines a notification method according to a target opening rate (hereinafter referred to as target opening rate) and a budget allocated for notification (hereinafter simply referred to as budget). Specifically, the analysis unit 101 changes the threshold for selecting the notification method so as to achieve the target opening rate within the budget. The threshold here is the threshold of the opening rate of the message notification when the response rate of the message notification is lower (smaller) than the response rate of the print notification. This is the threshold used when selecting as a method.

For example, the analysis unit 101 first sets a predetermined threshold value to be low (small), and if the response rate for message notification is lower (smaller) than the response rate for print notification, all notifications to corresponding customers are treated as electronic notifications. In other words, the average value of the opening rate of electronic notification and the cost required for electronic notification are derived when electronic notification is selected for all customers to be notified.
If the derived average opening rate of electronic notifications is lower (smaller) than the target average value and the derived cost is lower (smaller) than the budget, the analysis unit 101 resets the predetermined threshold to a larger value. Then, the analysis unit 101 determines the average value of the opening rate of the electronic notification for the customers who selected the electronic notification when the print notification is selected for some customers according to the set predetermined threshold, and Derive the cost required for notification.
The analysis unit 101 sets a predetermined threshold value and calculates the average open rate and Iteratively perform cost derivation.
The analysis unit 101 uses a predetermined threshold at the time when the average value of the opening rate of electronic notifications is equal to or higher than the target average value within the range where the derived cost does not exceed the budget, as the threshold value used when selecting the notification method. used as
If the average opening rate of electronic notifications does not reach or exceed the target average within a range in which the costs do not exceed the budget, the analysis unit 101 sends an approval notification to the company that has made the notification request, for example. An approval notice is a notice that the target open rate is unlikely to be reached within the budget provided by the company making the notice request. In the approval notice, for example, if it is possible to increase the number of customers who print notifications instead of electronic notifications, it is highly likely that the target opening rate can be achieved, and the estimated cost and opening rate Notify expected value.

The processing unit 102 creates either print notification instruction data or electronic notification instruction data based on the selection result (selection result) of the notification method for the customer by the analysis unit 101 . When the print notification instruction data is created, the processing unit 102 outputs the created data to the printing device 20 . When the electronic notification instruction data is created, the processing unit 102 outputs the created data to the distribution server 30 . Here, the print notification instruction data is an example of the “selection result” by the analysis unit 101 . Also, the electronic notification instruction data is an example of the “selection result” by the analysis unit 101 .

The response history information storage unit 103 stores response history information. The response history information is input from another device (such as a server device that aggregates responses to notifications) via an input unit (not shown) of the notification method selection device 10, for example.

FIG. 3 is a diagram showing a configuration example of information (response history information) stored in the response history information storage unit 103 according to the first embodiment. Response history information is generated for each customer that can be notified.

As shown in FIG. 3, the response history information includes items such as notification source, notification means, response, and opening. The notification source indicates the name of the company that is the notification source. The notification means indicates the notification method of the notification sent from the notification source to the customer during a predetermined period in the past, that is, print notification, e-mail, or message. The response rate indicates the response rate in the notification method indicated by the notification means. The opening rate indicates the opening rate in the notification method indicated by the notification means. In this example, it is shown that company A has sent five printed notices to the customer, one of which has been responded to. Company A sent 20 e-mail notifications, none of which received a response; , 5 of which have been responded to.

FIG. 4 is a flowchart for explaining the operation of the notification method selection device 10 according to the first embodiment. As a premise for performing the processing shown in the flowchart of FIG. 4, it is assumed that the number of notifications for which print notifications are selected (upper limit number of print notifications) is determined in advance according to the budget allocated to notifications.
First, the notification method selection device 10 acquires a notification request by the notification request acquisition unit 100 (step S10). The notification request acquisition unit 100 outputs the content of the acquired request notification to the analysis unit 101 .

Next, the notification method selection device 10 acquires response history information by the analysis unit 101 (step S11). The analysis unit 101 acquires the request notification from the notification request acquisition unit 100, refers to the response history information storage unit 103 based on the information such as the name of the customer indicated as the notification target in the acquired notification request, and determines the notification target. Get response history information for a customer.
Next, the analysis unit 101 determines whether or not the e-mail response rate is the highest (step S12). The analysis unit 101 uses the response history information to derive the response rate and the opening rate for each notification method of notifications given to customers in the past. The response rate and the opening rate may be stored in the response history information storage unit 103, or may be calculated by the analysis unit 101 using the information stored in the response history information storage unit 103. The analysis unit 101 compares the derived response rate for each notification method to determine whether the e-mail has the highest response rate. If the analysis unit 101 determines that the e-mail response rate is the highest (step S12, YES), the process proceeds to step S13.

If the analysis unit 101 determines in step S12 that the e-mail response rate is not the highest, the analysis unit 101 determines whether the message response rate is equal to or higher than the print notification response rate (step S12). S14). If the analysis unit 101 determines that the e-mail response rate is the highest (step S14, YES), the process proceeds to step S13.
If the analysis unit 101 determines in step S14 that the message response rate is not equal to or greater than the print notification response rate, the analysis unit 101 stores the message opening rate (step S15).
The notification method selection device 10 determines whether or not all notification requests have been acquired by the analysis unit 101 (step S13). If there is a notification request that has not yet been acquired, the analysis unit 101 returns to step S10.
When all notification requests are received, the notification method selection device 10 determines a message opening rate threshold that achieves the target opening rate within the budget. (Step S16). Then, the notification method selection device 10 compares the stored opening rate of message notifications with the threshold value determined in step S16, and gives electronic notification to customers whose message opening rate is equal to or higher than the threshold, and print notification to customers whose message opening rate is less than the threshold. Select (step S17).

As explained above, the notification method selection device 10 of the first embodiment includes the analysis unit 101 and the processing unit 102 . The analysis unit 101 selects a notification method for notifying the customer of information based on the track record of reactions to the print notification or electronic notification and the track record assigned for the notification. or select at least one from electronic notifications. The processing unit 102 outputs the result of the selection by the analysis unit 101 (either print notification instruction data indicating a print notification instruction or electronic notification instruction data indicating an electronic notification instruction).
As a result, the notification method selection device 10 of the first embodiment can select a notification method according to the customer's tendency within the budget, and the notification can be confirmed by the customer as much as possible within the budget. can be made Also, for customers who tend to respond to both printed and electronic notifications because they can choose between printed or electronic notifications, electronic notifications can be selected. While making it easier for customers to confirm the notification, it is possible to reduce the cost required for the notification as compared with the case where all the customers are notified by printed matter.

(Second embodiment)
Next, a second embodiment will be described. In this embodiment, a notification method is selected using a notification response estimation model. A notification method reaction model is a trained model that estimates a customer's reaction to an electronic and/or printed notification given to the customer. This embodiment is applied, for example, when there is no track record of notifying the customer indicated in the notification request, and the customer's response history information is not accumulated. In the following explanation, the customer indicated in the notification request for which the notification method is selected using the notification reaction estimation model for reasons such as no response history information is accumulated or the amount of accumulated information is small is defined as "new Customer. Also, a customer whose information is used as learning data for the notification reaction estimation model to learn, for reasons such as sufficient accumulated response history information, is referred to as an "existing customer".

In this embodiment, the notification method selection device 10A includes an analysis unit 101A, a processing unit 102A, a response history information storage unit 103A, and a learned model information storage unit 104. FIG.

The analysis unit 101 creates a notification method estimation model in advance. The analysis unit 101 stores the created notification reaction estimation model in the learned model information storage unit 104 . The notification method reaction model is described in detail later.

Based on the notification request, the analysis unit 101A acquires the customer attribute information of the customer of the notification destination. The customer attribute information is included in the notification request, for example. Alternatively, the customer information may be stored in a customer attribute information storage server (not shown) communicably connected to the notification method selection device 10 via a communication network or the like. In this case, the customer attribute information storage server is a server device that stores customer attribute information of various customers. For example, the analysis unit 101 accesses the customer attribute information storage server based on the customer's name or the like indicated in the notification request, and acquires the customer information of the customer to be notified. Customer attribute information of various customers may be stored in a customer attribute information storage unit (not shown) of the notification method selection device 10 .

The analysis unit 101 inputs the acquired customer attribute information of the customer to be notified to the notification method estimation model. The notification reaction estimation model estimates the customer's reaction to the electronic notification and/or the printed notification based on the input customer attribute information. The notification reaction estimation model estimates, for example, the probability of response and the probability of opening when electronic notification is sent to the customer. In addition, the notification response estimation model estimates the response probability when a print notification is sent to the customer. The response probability here is the estimated probability that there will be a response to the notification. Also, the open probability is the probability that the notification will be opened.

The analysis unit 101A causes the notification response estimation model to estimate the response probability of the print notification and the response probability and opening probability of the electronic notification. The analysis unit 101A selects a notification method based on the estimated print notification response probability, electronic notification response probability and opening probability, and budget allocated to notification. Since the method of selecting the notification method is the same as in the above-described embodiment, the description thereof will be omitted.

The response history information storage unit 103 stores learning data. The learning data is data that the model learns when the analysis unit 101 creates the notification reaction estimation model. The learning data is input from another device (such as a server device that aggregates responses to notifications) via an input unit (not shown) of the notification method selection device 10, for example. The learning data is an example of "a track record of responses to printed notifications or electronic notifications".
The learned model information storage unit 104 stores a notification reaction estimation model.

FIG. 6 is a diagram showing a configuration example of information (learning data) stored in the response history information storage unit 103A according to the second embodiment. The learning data is created based on the results of past notifications.

As shown in FIG. 6, learning data consists of a customer ID, an input and an output. A customer ID is identification information that uniquely identifies a customer. The input indicates customer attribute information of the customer corresponding to the customer ID, and in this example includes age, sex, address, occupation, family structure, and the like. The output includes items such as customer notification source, notification method, response, and opening. The notification source indicates the name of the company that is the notification source. The notification means indicates the notification method of the notification sent from the notification source to the customer during a predetermined period in the past, that is, print notification, e-mail, or message. The response indicates the number of notifications for which the notification method indicated in the notification means has been responded to. Opened indicates the number of notifications that have been opened for the notification method indicated in the notification means. In this example, a male customer in his 40s who lives in Tokyo, is engaged in the advertising business, and has a preschool child receives five message notifications from Company A, one of which is It is indicated that a response was received and that all five were opened. In addition, it is shown that this man received 20 message notifications from Company B, none of which received a response, and 18 of which were opened. In addition, for a customer who is a woman in her 60s who is a housewife living in Tokyo and whose child is already independent, Company A has not sent a print notification, and Company B has sent 30 messages. 5 were answered and 28 were opened.

The notification method estimation model will now be described.
The analysis unit 101A uses the learning data stored in the response history information storage unit 103A to cause the machine learning model to learn the correspondence relationship between the input (customer attribute information) and the output (reaction to the notification). Create an estimation model. General machine learning techniques such as hidden Markov models (HMM), deep learning, recurrent neural networks, convolutional neural networks, support vector machines (SVM), decision tree learning, genetic programming, etc. may be used.

The analysis unit 101A inputs unlearned input information (customer attribute information of a customer for whom a notification method is to be selected, that is, a new customer) to the notification reaction estimation model.
When unlearned input information is input from the analysis unit 101A, the notification reaction estimation model is a combination of learned input information (customer attribute information of existing customers) in learned learning data and unlearned input information. Calculate the degree of similarity. Here, the degree of similarity is, for example, the distance in vector space between a value obtained by quantifying the feature amount of unlearned input information by vector expression and a value obtained by digitizing the feature amount of learned input information by vector expression. calculated as The distance in the vector space is proportional to the amount of correlation between the values quantified by mutual vector representation, and is calculated, for example, by the inner product of the vectors.

The notification response estimation model extracts learned input information whose distance to unlearned input information in vector space is less than a predetermined threshold, that is, similarity. The trained model converts the learned output information (reactions to notifications of existing customers) associated with the extracted learned input information to the estimated output information (new customer response to notifications).

In the above description, the case where analysis unit 101A creates a notification reaction estimation model has been described. You may make it estimate the reaction to the notification in a customer.

As described above, in the notification method selection device 10A according to the second embodiment, the analysis unit 101A uses the notification response estimation model to select the notification method for notifying the customer of information from print notification or electronic notification. Choose at least one. As a result, in the notification method selection device 10A in the second embodiment, even if the response history information of the customer to be notified is not accumulated, the model (notification response) that learned the information of the customer with similar attribute information Estimation model) can be used to estimate the response probability of the notified customer. Therefore, the notification method can be selected so that the contents of the notification can be confirmed by the customer as much as possible within the budget, and the same effect as the above-described embodiment can be obtained.

Further, in at least one embodiment described above, when deriving the response rate, the number of past print notifications (or electronic notifications) sent to the customer may be used as the parameter of the response rate. explained by way of example. However, depending on the content of the notification, there may be some that do not require a response. For example, the notification of the billed amount, the expiration of the insurance, etc. is for the purpose of notification and does not require a response. If such a notification is used to derive the response rate, the derived response rate may be less than the actual rate.

For this reason, the analysis unit 101 may exclude notifications that do not require a response from the notifications that are used as parameters for deriving the response rate. In this case, the analysis unit 101 selects a notification method, and stores, in the response history information storage unit 103 or the like, the determination result of determining whether or not the notification requires a response from the content of the notification. Then, when deriving the response rate, the analysis unit 101, based on the determination result of determining whether or not the stored notification requires a response, determines the parameter of the response rate for each notification given to the customer in the past. determine whether or not to The analysis unit 101 derives the response rate as the number of notifications to which responses are actually received with respect to the number of notifications determined to be the parameter of the response rate.

In at least one of the above-described embodiments, the case where the open rate for print notifications is not derived has been described as an example, but message notifications or the like may be used to derive the open rate for print notifications. In this case, for example, when the print notification is issued, a message such as "Have you opened (the print notification)?" Then, it is determined whether or not the print notification has been opened using the reply result to the message notification from the customer. The analysis unit 101 derives the opening rate of the print notification using the determination result of determining whether or not the print notification has been opened.

In at least one of the above-described embodiments, the case where either print notification or electronic notification is selected has been described as an example, but both print notification and electronic notification may be selected. For example, the analysis unit 101 knows that the customer for whom the print notification is selected is planning to move recently, and the address to which the print notification is to be sent cannot be determined. Select both printed and electronic notifications, for example, if you are unsure whether the As a result, even if the address of the customer who has selected the print notification cannot be determined, the notification can be made by both the print notification and the electronic notification, allowing the customer to more reliably confirm the content of the notification. .

All or part of the notification method selection device 10 (10A) in the above-described embodiment may be realized by a computer. In that case, a program for realizing this function may be recorded in a computer-readable recording medium, and the program recorded in this recording medium may be read into a computer system and executed. It should be noted that the "computer system" referred to here includes hardware such as an OS and peripheral devices. The term "computer-readable recording medium" refers to portable media such as flexible discs, magneto-optical discs, ROMs and CD-ROMs, and storage devices such as hard discs incorporated in computer systems. Furthermore, "computer-readable recording medium" refers to a program that dynamically retains programs for a short period of time, like a communication line when transmitting a program via a network such as the Internet or a communication line such as a telephone line. It may also include something that holds the program for a certain period of time, such as a volatile memory inside a computer system that serves as a server or client in that case. Further, the program may be for realizing a part of the functions described above, or may be capable of realizing the functions described above in combination with a program already recorded in the computer system, It may be implemented using a programmable logic device such as an FPGA (Field Programmable Gate Array).

Although the embodiment of the present invention has been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and design and the like are included within the scope of the gist of the present invention.

REFERENCE SIGNS LIST 1 notification method selection system 10 notification method selection device 100 notification request acquisition unit 101 analysis unit 102 processing unit 103 response history information storage unit 20 printing device 30 distribution server

Claims (4)

Communicate information to customers based on historical responses to printed notices, which are printed notices, or electronic notices, which are electronic notices, and the budget allocated for delivering notices. an analysis unit that selects at least one of the print notification and the electronic notification as a notification method when
a processing unit that outputs a result of selection by the analysis unit;
with
The analysis unit estimates a response rate for the print notification and a response rate and an opening rate for the message notification as the electronic notification based on the actual results, and the estimated response rate for the message notification is the response rate for the print notification. if it is less than the threshold, the notification method is set to the message notification if the opening rate of the message notification is equal to or higher than the threshold, and the notification method is set to the print notification if the opening rate of the message notification is less than the threshold. setting the threshold in the selection process so that the cost does not exceed the budget and the opening rate of the message notification according to the threshold is equal to or higher than a preset target opening rate;
Notification method selection device. The analysis unit uses a notification reaction estimation model to estimate a response rate for the print notification and a response rate and an opening rate for the message notification ,
The notification reaction estimation model is machine-learned using learning data that associates customer attribute information indicating the attributes of an existing customer with a track record of past notification and the reaction of the existing customer to the notification given to the existing customer. is a machine learning model created by running
The notification method selection device according to claim 1. Based on the performance of responses to printed notices, which are printed notices, or electronic notices, which are notices by electronic means, and the budget allocated for making notices, selecting at least one of the print notification and the electronic notification as a notification method when notifying information;
a processing unit that outputs a result of the selection by the analysis unit ;
The analysis unit estimates a response rate for the print notification and a response rate and an opening rate for the message notification as the electronic notification based on the actual results, and the estimated response rate for the message notification is the response rate for the print notification. if it is less than the threshold, the notification method is set to the message notification if the opening rate of the message notification is equal to or higher than the threshold, and the notification method is set to the print notification if the opening rate of the message notification is less than the threshold. setting the threshold in the selection process so that the cost does not exceed the budget and the opening rate of the message notification according to the threshold is equal to or higher than a preset target opening rate;
Notification method selection method. A program for causing a computer to operate as the notification method selection device according to claim 1 or claim 2, the program causing the computer to function as each part included in the notification method selection device.

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