JP2019016262A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To enable high-accuracy analysis of services.SOLUTION: An information processing device includes an acquisition unit and a determination unit. The acquisition unit obtains history information of a user on a service in which second conversion occurs after first conversion. The determination unit determines on the basis of the history information whether the second conversion that occurred in the service was conversion by a user for which a predetermined event occurred before the first conversion.SELECTED DRAWING: Figure 1

Description

  The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

  Services using networks, such as auctions using networks, are actively performed. For the purpose of effectively attracting users to the service, the service operator may execute “measures” such as advertisements. The service becomes active by implementing highly effective measures.

JP 2008-310699 A

  In order to realize a highly effective measure, an operator may perform an analysis on a service based on user history information (for example, website browsing history). However, it is difficult to perform highly accurate analysis by simply extracting information from history information.

  The present application has been made in view of the above, and an object thereof is to enable analysis with high accuracy regarding a service.

  The information processing apparatus according to the present application includes: an acquisition unit that acquires user history information regarding a service in which a second conversion occurs after the first conversion; and a second conversion that occurs in the service based on the history information. A discriminator that discriminates whether or not the conversion is by a user in which a predetermined event has occurred before the first conversion.

  According to one aspect of the embodiment, it is possible to perform analysis with high accuracy regarding a service.

FIG. 1 is a diagram illustrating an operation of the information processing system according to the embodiment. FIG. 2 is a diagram illustrating a state of an auction performed via the service providing server according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of the terminal device according to the embodiment. FIG. 4 is a diagram illustrating a configuration example of the service providing server according to the embodiment. FIG. 5 is a diagram illustrating a configuration example of the information processing apparatus according to the embodiment. FIG. 6 is a diagram illustrating an example of information stored in the history information database. FIG. 7 is a diagram illustrating an example of information stored in the aggregate information database. FIG. 8 is a flowchart illustrating an example of the aggregation process. FIG. 9 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus.

  Hereinafter, an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited to the following embodiments. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

[1. Operation of information processing device]
First, the operation of the information processing apparatus will be described using the information processing system 1 including the information processing apparatus 30 as an example of the information processing apparatus of the present embodiment as an example.

[1-1. Information processing system)
FIG. 1 is a diagram illustrating an operation of the information processing system 1 according to the embodiment. The information processing system 1 includes terminal devices 10 ₁ , 10 ₂ , 10 ₃ , a service providing server 20, and an information processing device 30. In the example of FIG. 1, three terminal devices 10 are shown, but the number of terminal devices may be less than three or more than three. In the following description, the terminal devices 10 ₁ , 10 ₂ , 10 _3, etc. may be collectively referred to as the terminal device 10.

The terminal device 10 is a user terminal such as a smart device (smart phone or tablet), a mobile phone, a personal computer, or the like. The terminal device 10 ₁ a terminal used by the user A, the terminal device 10 ₂ is a terminal used by the user B, the terminal apparatus ₁₀₃ is a terminal that the user C uses. The terminal device 10 communicates with the service providing server 20 via a network. For example, the terminal device 10 acquires information on a page related to an auction using a network (hereinafter simply referred to as an auction) from the service providing server 20. In addition, the terminal device 10 transmits information for the user to participate in the auction (for example, identification information of the participating auction and bid price information) to the service providing server 20.

  The service providing server 20 is a server host computer that provides various services to client terminals. The service providing server 20 is a portal site, game information distribution site, news site, auction site, weather forecast site, shopping site, finance (stock price) site, route search site, map providing site, travel site, restaurant introduction site, etc. Function.

  In the case of the present embodiment, the service providing server 20 has a function as an auction site, and provides services related to auctions to users. Specifically, the service providing server 20 performs exhibition management, bid management, successful bid management, deadline management, etc. for a plurality of different auctions. For example, the service providing server 20 stores information on the auction start date, end date, bidder, and planned bid amount for each auction. Then, the service providing server 20 determines whether or not the corresponding auction is within the auction period based on information such as the start date and the end date of the auction. When there is a bid from the user, the service providing server 20 determines whether or not to accept a bid from the user based on information on whether or not the present is within the auction period. When accepting a bid, the service providing server 20 acquires information such as the bid price from the terminal device 10 and updates the information on the planned bid price if the bid price exceeds the planned bid price. In addition, when the auction period ends, the service providing server 20 performs a process of making the user who has given the highest price make a successful bid. For example, the service providing server 20 stores the user who gave the highest price at the end of the auction period as the winning bidder and the last bid amount of the user as the winning bid amount.

  Further, the service providing server 20 notifies the user about the auction. For example, the service providing server 20 notifies a user participating in the auction that the auction is closed after a set period (for example, 24 hours later) (hereinafter referred to as a deadline notification). The user who is notified by the service providing server 20 may be a user who has previously bid for the auction. The service providing server 20 may have a function for enabling the user to monitor the auction. For example, the service providing server 20 includes a watch list function for the user to register an auction that the user wants to monitor in the system, and when there is a movement in the auction registered in the watch list (for example, other auctions) When there is a bid from the user, the user who registered the corresponding auction may be notified that the registered auction has moved. The service providing server 20 may notify the user who has registered in the watch list an auction that is closed after the set period. The service providing server 20 may notify the user by e-mail or via a dedicated page prepared for each user. The notification may be a push notification.

  In addition, the service providing server 20 acquires a user's behavior related to the auction and a history of processing performed on the user (hereinafter referred to as history information). For example, when a bid is made by a user, the service providing server 20 collects the user's bid information as history information. The bid information includes, for example, identification information (hereinafter referred to as auction identification information) of an auction for which the user has bid, information on a bid date and time, and a bid amount. Further, the service providing server 20 may collect user contact information (for example, notification identification information and notification date information) as notification history information for notifications made by various servers to the user. The service providing server 20 stores the collected history information in association with the user identification information.

  Note that the service providing server 20 may have a function as a search server, and may acquire information related to user searches as history information. For example, when a user specifies a search query related to an auction and performs a search at a search site, the service providing server 20 collects the date and time when the search was performed and information on the search query specified by the user as history information. May be. At this time, the search query may be an auction name (for example, a name of an auction site such as “Y auction”), or may be a category or a name of a product frequently exhibited in an auction. Of course, the search query may simply be an “auction”. The collected history information may be stored in association with user identification information.

  In addition, when the user contacts an advertisement related to the auction, the service providing server 20 acquires contact information on the user's advertisement (for example, identification information of the contacted user, contact date / time, identification information of the advertisement, etc.) as history information. May be. The advertisement may be distributed by a server other than the service providing server 20 (hereinafter referred to as an advertisement distribution server). When the advertisement distribution server distributes the advertisement, the service providing server 20 may acquire contact information from the advertisement distribution server. The service providing server 20 may have a function as an advertisement distribution server. In addition, when the user contacts a notification related to the auction, the service providing server 20 may acquire the notification information as history information. For example, the service providing server 20 may collect information on the date and time when the user contacts the notification and the type of notification (for example, “deadline notification” of the auction) as the history information.

  The information processing apparatus 30 is an apparatus that generates information for enabling analysis regarding a service using a network. In order to realize a highly effective measure (such as an advertisement), a site operator may perform an analysis on a service based on user history information. For example, the operator may actually analyze what event (advertisement) contributes to the conversion by counting the number of successful bids for each event (for example, for each type of advertisement). . Here, conversion is a result of a service using a network. If the service is an auction, the conversion is, for example, a successful bid at an auction.

  However, even if the history information of the event to be analyzed includes the history of the event to be analyzed (for example, the history of contact with the advertisement to be analyzed) in the history information of the user who has converted, the conversion is not necessarily due to the event. For example, it is assumed that there is a history of viewing an auction advertisement “after bidding” in the history information of a user who has made a successful bid for an item at an auction. In this case, it is clear that the user has not seen the advertisement and placed the bid. In this case, the analysis target advertisement does not contribute to the conversion (successful bid) of the user at the auction. The information processing apparatus 30 according to the present embodiment uses “bidding” as provisional conversion (first conversion), “successful bid” as final conversion (second conversion), and performs the processing described below, so that an operator or the like Makes it possible to accurately analyze what event contributed to the final conversion.

  Hereinafter, the operation of the information processing system 1 including the information processing apparatus 30 will be described with reference to FIG. Before describing the operation of the information processing apparatus 30, a process related to an auction performed between the service providing server 20 and the terminal apparatus 10 will be described.

[1-2. Auction processing]
First, in order to provide an auction service to the user, the service providing server 20 performs communication related to the auction with the terminal device 10 operated by the user (steps S1a to S1c). FIG. 2 is a diagram illustrating an auction that is performed via the service providing server 20 according to the embodiment. In the example of FIG. 2, three users, user A, user B, and user C, participate in auction A or auction B.

  Auction A is an auction that uses automobiles as commodities. In the example of FIG. 2, two users, user A and user B, participate in the bid. User A has made a successful bid C21 at auction A through three bids C11, C12, and C13. User B has made two bids at bids C14 and C16 at auction A, but has not finally reached a successful bid at auction A. The service providing server 20 issues a deadline notice before the fixed period of the auction A. The service providing server 20 provides a notification E11 to the user A and a notification E12 to the user B. The notification E11 and the notification E12 may have the same timing and / or the same content, or may have different timing and / or different content. Note that not only a user's contact with an advertisement but also a user's contact with a notification is a kind of event.

  Auction B is an auction using a notebook PC as a product. In the example of FIG. 2, two users, user B and user C, participate in the bid. User B makes two bids at bids C15 and C17 at auction B, but has not finally reached a successful bid at auction B. In addition, the user C reaches the successful bid C22 at the auction B through two bids C18 and C19. The service providing server 20 issues a deadline notice before the fixed period of the auction B. The service providing server 20 provides a notification E21 to the user B and a notification E22 to the user C. The notification E21 and the notification E22 may have the same timing and / or the same content, or may have different timing and / or different content.

  Users A, B, and C each access an auction site by contacting an advertisement on the web. User A and user B contact the advertisement A and access the auction site, and the user C contacts the advertisement B different from the advertisement A and accesses the auction site. The advertisements A and B are, for example, advertisements linked to an auction page distributed by the service providing server 20. The advertisements A and B are posted on sites other than the auction site such as a portal site. Of course, the advertisements A and B may be posted on an auction site. The users A, B, and C receive the auction page distribution by clicking the advertisement A or the advertisement B. The advertisements A and B are one of “measures” performed by an auction site operator or the like.

  Users A, B, and C communicate with the service providing server 20 using the terminal device 10, respectively. For example, the users A, B, and C transmit bid information to the service providing server 20 and receive various information from the service providing server 20 (for example, notifications such as deadline notifications and successful bid information such as successful bidders and successful bid amounts). get.

  Returning to FIG. 1, the service providing server 20 collects user history information related to the auction (step S2). The service providing server 20 acquires history information of a plurality of users. At this time, the service providing server 20 may acquire history information of all users who have participated in the auction, or may acquire only history information of users who have made a successful bid in the auction.

  Various methods can be adopted as the method by which the service providing server 20 acquires the history information. For example, the service providing server 20 stores identification information (hereinafter referred to as user identification information) for identifying a user in an auction in a cookie of a browser installed in the terminal device 10. The user identification information may be the same ID for a plurality of sites operated by the same operator (including an organization such as a company). Then, when the user bids at an auction, the service providing server 20 acquires bid information from the terminal device 10 and acquires user identification information from the cookie. Then, the service providing server 20 acquires, as history information, information in which bid information is associated with user identification information.

  Further, the history information may be contact information to the user's notification. For example, when the service providing server 20 notifies the user about the auction, the service providing server 20 records information that associates the type of notification and the delivery date and time with the user identification information assigned to the user who made the notification. Obtain as information.

  The history information may be contact information for the user's advertisement. For example, when a user clicks on an advertisement related to an auction, the advertisement distribution server acquires user identification information from a cookie. Then, the advertisement distribution server associates the identification information of the distributed advertisement and the distribution date / time information with the user identification information and transmits it to the service providing server 20. The service providing server 20 acquires information received from the advertisement distribution server as history information.

[1-3. Processing related to auction analysis)
The processing related to the auction performed between the service providing server 20 and the terminal device 10 has been described. Next, processing related to the auction analysis performed by the information processing device 30 will be described. When the information processing apparatus 30 receives a start instruction for processing related to auction analysis from a user who operates the information processing apparatus 30 (hereinafter referred to as an analyst), the information processing apparatus 30 starts the following processing. The analyst may be an auction operator.

  First, the information processing apparatus 30 acquires history information from the service providing server 20 (step S3). And the information processing apparatus 30 produces | generates the total information which shows the relationship between a successful bid and an event (step S4). The procedure for generating the total information is as follows.

[1-3-1. Analysis of successful bid)
First, the information processing apparatus 30 acquires one piece of history information of a user who has made a successful bid at an auction from the plurality of history information acquired in step S3. In the example of FIG. 2, the information processing apparatus 30 acquires the history information of the user A who has reached the successful bid C21 in the auction A or the historical information of the user C who has reached the successful bid C22 in the auction B. Note that user B has not reached a successful bid in either auction A or auction B. In the example of FIG. 2, the information processing apparatus 30 does not set the user B as an analysis target.

  Then, the information processing apparatus 30 determines, based on the acquired history information, whether the final conversion is conversion by a user who has generated a setting event before reaching the provisional conversion. That is, the information processing apparatus 30 determines whether the successful bid that occurred in the auction is a successful bid by the user who has generated the setting event before bidding in the auction, based on the history information.

  The analyst can arbitrarily set which event is the set event. For example, the setting event may be a user's contact with advertisement A, a user's contact with advertisement B, and a user's notification. The setting event may be a search related to the user's auction or a registration related to the user's auction.

  At this time, the information processing apparatus 30 may determine, based on the history information, whether the successful bid that occurred in the auction is a successful bid by the user who has generated the setting event before performing the “first bidding” in the auction. For example, it is assumed that the information processing apparatus 30 acquires the history information of the user A illustrated in FIG. User A reaches a successful bid C21 at auction A. And before user A performs the first bid C11 (temporary conversion), contact (setting event) to advertisement A has occurred. Therefore, the information processing apparatus 30 determines that the successful bid C21 in the auction A of the user A is a successful bid by the user who has generated the setting event before the first bid is made in the auction.

  Further, the information processing apparatus 30 may determine whether the successful bid that occurred in the auction is a successful bid by the user who has generated the setting event before performing the “last bid” in the auction based on the history information. For example, it is assumed that the information processing apparatus 30 acquires the history information of the user A illustrated in FIG. User A reaches a successful bid C21 at auction A. Then, before the user A performs the final bid C13 (provisional conversion), contact with the notification E11 (setting event) and contact with the advertisement A (setting event) have occurred. Therefore, the information processing apparatus 30 determines that the successful bid C21 at the auction A of the user A is a successful bid by the user who has generated the setting event before the last bid is made at the auction.

  Further, the information processing apparatus 30 may determine based on the acquired history information whether the final conversion is conversion by a user who has generated a set event within a “set period” before reaching the provisional conversion. That is, the information processing apparatus 30 may determine whether the successful bid that occurred in the auction is a successful bid by a user who has generated a setting event within a setting period before bidding in the auction, based on the history information.

  At this time, the information processing apparatus 30 may determine whether the successful bid that occurred in the auction is a successful bid by the user who has generated the setting event within the “setting period” before the first bidding in the auction, based on the history information. Good.

  For example, it is assumed that the information processing apparatus 30 acquires the history information of the user A illustrated in FIG. User A reaches a successful bid C21 at auction A. Then, the user A is in contact with the advertisement A (setting event) within the setting period T1 before performing the first bid C11 (temporary conversion). Therefore, the information processing apparatus 30 determines that the successful bid C21 at the auction A of the user A is a successful bid by the user who has generated the set event within the set period before the first bid at the auction.

  On the other hand, it is assumed that the information processing apparatus 30 has acquired the history information of the user C shown in FIG. Although the user C has reached the successful bid C22 at the auction B, the contact (setting event) with the advertisement B has not occurred within the setting period T2 before the first bid C18 (temporary conversion) is performed. Therefore, the information processing apparatus 30 determines that the successful bid C22 in the auction B of the user C is not a successful bid by the user who has generated the setting event within the setting period before the first bidding in the auction.

  Further, the information processing apparatus 30 may determine, based on the history information, whether the successful bid that occurred in the auction is a successful bid by a user who has generated a setting event within the “setting period” before the last bidding in the auction. .

  For example, it is assumed that the information processing apparatus 30 acquires the history information of the user A illustrated in FIG. User A reaches a successful bid C21 at auction A. Then, the user A is in contact with the notification E11 (setting event) within the setting period T3 before performing the final bid C13 (temporary conversion). Therefore, the information processing apparatus 30 determines that the successful bid C21 at the auction A of the user A is a successful bid by the user who has generated the set event within the set period before the last bid is made at the auction.

  On the other hand, it is assumed that the information processing apparatus 30 has acquired the history information of the user C shown in FIG. Although the user C has reached the successful bid C22 at the auction B, no set event has occurred within the set period T4 before the final bid C19 (provisional conversion) is performed. Therefore, the information processing apparatus 30 determines that the successful bid C22 at the auction B of the user C is not a successful bid by the user who has generated the set event within the set period before the last bid is made at the auction.

  The analysis period can be arbitrarily set by the analyst. For example, the set period may be two weeks. Of course, the set period may be longer or shorter than two weeks. The set period may be different for each auction or may be the same. For example, the set period T1 and the set period T2 may be different or the same. Similarly, the setting period T2 and the setting period T4 may be different or the same. Further, the set period set for the first bid and the set period set for the last bid may be different or the same. For example, the set periods T1 and T3 may be different or the same. Similarly, the set periods T2 and T4 may be different or the same.

  The information processing apparatus 30 performs the above determination for all successful bids included in the plurality of history information acquired in step S3. In addition to the above determination, the information processing apparatus 30 may determine whether the final conversion (successful bid) is a conversion by a user for whom no set event has occurred within the set period before the temporary conversion (bid).

[1-3-2. (Total of successful bids)
Subsequently, the information processing apparatus 30 aggregates the determination results. The information processing apparatus 30 generates aggregate information shown in FIG. 1 based on the determination result. As can be seen from the total information shown in FIG. 1, the information processing apparatus 30 performs both the initial bid-based aggregation and the final bid-based aggregation. Aggregation based on the initial bid refers to summing up successful bids due to contributions of events that occurred before the first bid. The final bidding-based tabulation refers to tabulating the successful bids due to the contribution of events that occurred before the final bidding. In the following description, it is assumed that the information processing apparatus 30 counts the last conversion in which a setting event has occurred within a “setting period” before provisional conversion.

  First, the first bidding-based tabulation will be described.

  First, pay attention to the successful bid C21 in FIG. As described above, the successful bid C21 is a successful bid of the user A who has contacted the advertisement A before the first bid C11. The event of “contact with the advertisement A” by the user A occurs within the set period T1 before the user A makes the first bid C11, and can be said to have contributed to the successful bid C21. Therefore, the information processing apparatus 30 gives one conversion (hereinafter referred to as CV) as a point to the item “advertisement A” of “successful bid (first bid basis)” of the aggregation information of FIG. At this time, if the winning bid amount of the winning bid C21 is known, the information processing apparatus 30 may separately provide an item for the winning bid amount, and may total the winning bid amount due to the contribution of “advertisement A”.

  Next, pay attention to the successful bid C22 in FIG. As described above, the successful bid C22 is a successful bid of the user C who has contacted the advertisement B before the first bid C18. The event of “contact with the advertisement B” of the user C does not occur within the set period T2 before the user C makes the first bid C18, and cannot be said to have contributed to the successful bid C22. Therefore, the information processing apparatus 30 does not give any points to the item “advertisement B” of “successful bid (first bid basis)” of the aggregation information in FIG. 1.

  In the case of the example in FIG. 2, no setting event has occurred within the setting period T2 before the first bid C18. In this case, the information processing apparatus 30 assigns 1 CV to the item “others” of “successful bid (first bid basis)”, assuming that some event other than the set event contributed to the successful bid C22.

  The information processing apparatus 30 repeatedly executes the above processing for all successful bids included in the history information.

  Next, final bid-based tabulation will be described.

  First, pay attention to the successful bid C21 in FIG. As described above, the successful bid C21 is a successful bid of the user A who has contacted the notification E11 before the final bid C13. The event of “contact with the notification E11” by the user A occurs during the set period T3 before the user A makes the final bid C13, and can be said to have contributed to the successful bid C21. Therefore, the information processing apparatus 30 gives point 1CV to the “notification” item of “successful bid (final bid base)” of the aggregation information of FIG. At this time, if the winning bid amount of the winning bid C21 is known, the information processing apparatus 30 may separately provide an item for the winning bid amount, and may total the winning bid amount due to the contribution of “Notification E11”.

  Next, pay attention to the successful bid C22 in FIG. As described above, the successful bid C22 is a successful bid of the user C who has contacted the notification E22 before the final bid C19. Although an event of “contact with notification E22” has occurred in user C, it has not occurred before user C makes the final bid C19. Therefore, the information processing apparatus 30 does not give any points to the “notification” item of “successful bid (first bid basis)” of the aggregation information of FIG.

  In the case of the example in FIG. 2, no setting event has occurred within the setting period T4 before the last bid C19. In this case, the information processing apparatus 30 assigns 1 CV to the item “others” of “successful bid (final bid base)”, assuming that some event other than the set event contributed to the successful bid C22.

  The information processing apparatus 30 repeatedly executes the above processing for all successful bids included in the history information.

[1-3-3. (Result information generation)
Subsequently, the information processing apparatus 30 generates result information to be output to the analyst based on the total information (step S5). The result information may be information indicating the effect of the measure designated by the analyst. For example, it is assumed that the analyst specifies the advertisement A as a measure for which the effect is desired. At this time, the information processing apparatus 30 calculates the number of points stored in the item “successful bid (first bid base)” of “advertisement A” from the total information and “successful bid (final bid base)” of “advertisement A”. The number of points stored in the item is generated as result information. Further, the information processing apparatus 30 may generate, as result information, the ratio of successful bids due to the contribution of “advertisement A” to the total number of successful bids. For example, the information processing apparatus 30 may generate, as result information, a ratio in which the number of points stored in the item “successful bid (first bid basis)” of “advertisement A” is the numerator and the total number of successful bids is the denominator. . Of course, the information processing apparatus 30 may use the aggregate information as result information as it is.

  When the generation of the result information is completed, the information processing apparatus 30 outputs the result information to the analyst. If the information processing device 30 includes an output device such as a liquid crystal display, the result information may be output to the output device included in the information processing device 30. If the analyst accesses the information processing apparatus 30 via the network, the information processing apparatus 30 may transmit (output) the result information to the terminal device operated by the analyst via the network.

  As described above, the information processing apparatus 30 acquires history information related to an auction. Then, the information processing apparatus 30 analyzes the history information using “bid” as a temporary conversion and “successful bid” as a final conversion. Specifically, based on the history information, the information processing apparatus 30 determines whether the successful bid that occurred in the auction is a conversion by the user in which the setting event has occurred before the bidding. Even if there is a setting event occurrence history in the history information of the user who has made a successful bid, the successful bid is not necessarily due to the set event in the history. Since the information processing apparatus 30 uses the final conversion in which the setting event has occurred before the provisional conversion as an analysis target, it is possible to perform analysis with high accuracy regarding the auction.

[2. Configuration example of information processing system]
The operation of the information processing apparatus has been described above by taking the information processing system 1 including the information processing apparatus 30 as an example of the information processing apparatus of the present embodiment as an example. Hereinafter, the configuration of the information processing apparatus of the present embodiment will be described. To do. In the following description, the configuration of the information processing apparatus will be described using the information processing system 1 as an example. As described above, the information processing system 1 includes the terminal device 10, the service providing server 20, and the information processing device 30. The terminal device 10, the service providing server 20, and the information processing device 30 are connected via a network. The network is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (a mobile phone network, a fixed telephone network, etc.), a regional IP (Internet Protocol) network, and the Internet. The network may include a wired network or a wireless network.

[3. Example of terminal device configuration]
FIG. 3 is a diagram illustrating a configuration example of the terminal device 10 according to the embodiment. The terminal device 10 is an information display device (information processing device) used by a user for browsing a page. The terminal device 10 is a communication terminal such as a smartphone, a tablet, or a mobile phone. The terminal device 10 may be an information processing terminal such as a personal computer (notebook PC, desktop PC) or PDA (Personal Digital Assistant) as long as it has a communication function. In this case, the information processing terminal is also a kind of communication terminal. The terminal device 10 is connected to the service providing server 20 via a network. As illustrated in FIG. 3, the terminal device 10 includes a communication unit 11, an input unit 12, a storage unit 13, an output unit 14, and a control unit 15. Note that the configuration shown in FIG. 3 is a functional configuration, and the hardware configuration may be different.

(Communication unit 11)
The communication unit 11 is a communication interface that communicates with an external device. The communication unit 11 may be a network interface or a device connection interface. For example, the communication unit 11 may be a LAN interface such as a NIC (Network Interface Card) or a USB interface configured by a USB (Universal Serial Bus) host controller, a USB port, or the like. The communication unit 11 may be a wired interface or a wireless interface. The communication unit 11 functions as a communication unit of the terminal device 10. The communication unit 11 communicates with the service providing server 20 according to the control of the control unit 15.

(Input unit 12)
The input unit 12 is an input device that accepts various inputs from the outside. For example, the input unit 12 is an operation device for a user to perform various operations such as a keyboard, a mouse, and operation keys. The input unit 12 functions as an input unit of the terminal device 10. When a touch panel is adopted for the terminal device 10, the touch panel is also included in the input unit 12. In this case, the user performs various operations by touching the screen with a finger or a stylus.

(Storage unit 13)
The storage unit 13 is a storage device capable of reading and writing data, such as DRAM (Dynamic Random Access Memory), SRAM (Static Random Access Memory), flash memory, and hard disk. The storage unit 13 functions as a storage unit of the terminal device 10. The storage unit 13 stores application software data such as a web browser. The user communicates with the service providing server 20 via application software.

(Output unit 14)
The output unit 14 is a device that performs various outputs such as sound, light, vibration, and images. The output unit 14 functions as an output unit of the terminal device 10. The output unit 14 includes a display unit that displays various types of information. The display device is, for example, a liquid crystal display or an organic EL display. When a touch panel is adopted for the terminal device 10, the display device may be integrated with the input unit 12. The output unit 14 displays an image on the screen under the control of the control unit 15.

(Control unit 15)
The controller 15 is a controller. For example, various programs stored in a storage device inside the terminal device 10 are stored in a RAM or the like by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). This is realized by being executed as a work area. The control unit 15 is a controller, and may be realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

[4. Configuration example of service provider server]
Next, the configuration of the service providing server 20 will be described in detail. The service providing server 20 is a server host computer (hereinafter simply referred to as “server”) that processes requests from client computers such as the terminal device 10 and the information processing device 30. The service providing server 20 may be a PC server, a mid-range server, or a mainframe server. Further, the service providing server 20 may be configured by a single server, or may be configured by a plurality of servers that cooperate to execute processing. When the service providing server 20 includes a plurality of servers, the installation locations of these servers may be remote. Even if the installation locations are separated, these servers can be regarded as one service providing server if the processes are performed in cooperation.

  FIG. 4 is a diagram illustrating a configuration example of the service providing server 20 according to the embodiment. The service providing server 20 includes a communication unit 21, a storage unit 22, and a control unit 23. Note that the configuration shown in FIG. 4 is a functional configuration, and the hardware configuration may be different.

(Communication unit 21)
The communication unit 21 is a communication interface that communicates with an external device. The communication unit 21 may be a network interface or a device connection interface. For example, the communication unit 21 may be a LAN interface such as a NIC, or a USB interface configured by a USB host controller, a USB port, or the like. The communication unit 21 may be a wired interface or a wireless interface. The communication unit 21 functions as a communication unit of the service providing server 20. The communication unit 21 communicates with the terminal device 10 according to the control of the control unit 23.

(Storage unit 22)
The storage unit 22 is a data readable / writable storage device such as a DRAM, SRAM, flash memory, or hard disk. The storage unit 22 functions as a storage unit of the service providing server 20. The memory | storage part 22 memorize | stores the historical information regarding a user's auction. The history information is, for example, bid information, successful bid information, contact information to advertisements, and contact information to notifications.

(Control unit 23)
The control unit 23 is a controller, and is realized, for example, by executing various programs stored in a storage device inside the service providing server 20 using a RAM or the like as a work area by a processor such as a CPU or MPU. The control unit 23 is a controller, and may be realized by an integrated circuit such as an ASIC or FPGA, for example.

[5. Configuration example of information processing apparatus]
Next, the configuration of the information processing apparatus 30 will be described in detail. The information processing apparatus 30 is a computer that performs analysis related to an auction. The information processing device 30 may be a terminal device or a server device. When the information processing device 30 is a terminal device, the information processing device 30 may be an information processing terminal such as a smartphone, a tablet, a mobile phone, a personal computer, or a PDA. When the information processing apparatus 30 is a server apparatus, the information processing apparatus 30 may be a PC server, a midrange server, or a mainframe server. At this time, the information processing apparatus 30 may be configured by a single server, or may be configured by a plurality of servers that cooperate to execute processing. When the service providing server 20 includes a plurality of servers, the installation locations of these servers may be remote. Even if the installation locations are separated, these servers can be regarded as one server device as long as the processing is performed in cooperation.

  FIG. 5 is a diagram illustrating a configuration example of the information processing apparatus 30 according to the embodiment. The information processing apparatus 30 includes a communication unit 31, a storage unit 32, and a control unit 33. Note that the configuration shown in FIG. 5 is a functional configuration, and the hardware configuration may be different.

(Communication unit 31)
The communication unit 31 is a communication interface that communicates with an external device. The communication unit 31 may be a network interface or a device connection interface. For example, the communication unit 31 may be a LAN interface such as a NIC, or a USB interface configured by a USB host controller, a USB port, and the like. The communication unit 31 may be a wired interface or a wireless interface. The communication unit 31 functions as a communication unit of the information processing apparatus 30. The communication unit 31 communicates with the terminal device 10 and the service providing server 20 according to the control of the control unit 33.

(Storage unit 32)
The storage unit 32 is a data readable / writable storage device such as a DRAM, SRAM, flash memory, or hard disk. The storage unit 32 functions as a storage unit of the information processing apparatus 30. The storage unit 32 stores a history information database 321 and a total information database 322.

  The history information database 321 is a database that stores user history information received by the information processing apparatus 30 from the service providing server 20. FIG. 6 is a diagram illustrating an example of information stored in the history information database 321. In the example illustrated in FIG. 6, the history information database 321 includes items such as a user ID, date and time, contents, and amount.

  “User ID” is user identification information for identifying a user who receives an auction service. The user ID may be the same ID for a plurality of sites operated by the same operator. In the example of FIG. 6, information such as “A”, “B”, and “C” is stored as item values. “A” is the user ID of user A, “B” is the user ID of user B, and “C” is the user ID of user C. The user ID is not limited to one alphabetic character, and may be an ID of an arbitrary format determined by the operator.

  “Date and time” indicates the date and time when an event or conversion indicated by the content described later occurs. In the example of FIG. 6, information such as “2017/10/1 10:01” and “2017/10/3 12:34” is stored as item values. “2017/10/1 10:01” indicates 10:01 on October 1, 2017. “2017/10/3 12:34” indicates 12:34 on October 3, 2017.

  “Content” indicates the content of the event or conversion. In the example of FIG. 6, information such as “advertisement A click”, “auction A bid”, “auction A deadline notification”, “auction A successful bid”, and the like are stored as item values. “Advertisement A click” indicates that the user specified by the user ID clicked the advertisement A on a web page or the like. “Auction A Bid” indicates that the user specified by the user ID bids at Auction A. “Auction A Deadline Notification” indicates that a deadline for Auction A has been sent to the user specified by the user ID. “Auction A successful bid” indicates that the user specified by the user ID has made a successful bid at auction A.

  “Amount” indicates the user's bid amount or successful bid amount in an auction. In the example of FIG. 6, information such as “200000” and “500000” is stored as item values. “200000” in the second row of the user A indicates that the amount of the bid performed by the user A at the auction A is 200000 yen. “500,000” in the sixth row of user A indicates that the amount of the successful bid at user A's auction A is 500,000 yen.

  The total information database 322 is a database that stores total information generated based on the history information stored in the history information database 321 by the information processing apparatus 30. FIG. 7 is a diagram illustrating an example of information stored in the aggregate information database 322. In the example illustrated in FIG. 7, the total information database 322 includes “event”, “successful bid” based on the initial bid, “amount” based on the initial bid, “successful bid” based on the final bid, “amount” based on the final bid, etc. Have items.

  “Event” indicates an event set as an aggregation target by an analyst or the like. In the example of FIG. 7, information such as “advertisement A”, “advertisement B”, “notification”, and “others” is stored as item values. “Advertisement A” indicates the user's contact with the advertisement A. “Advertisement B” indicates the user's contact with the advertisement B. “Notification” indicates a contact to the user's notification. “Other” indicates an event (unknown event) that does not belong to any of the events set by the analyst or the like as an aggregation target.

  The “successful bid” based on the initial bid indicates the number of points of successful bids based on the aggregation of the initial bid base. In the example of FIG. 7, information such as “456” and “234” is stored as item values. “456” in the row of “Advertisement A” indicates that the point of the successful bid by the user who has been in contact with the advertisement A before the temporary conversion (first bid) is 456 CV. “234” in the “other” row indicates that the point of the successful bid by the user who has not set any event before the tentative conversion (first bid) is 234 CV. At this time, the points may match the number of successful bids based on the initial bid.

  The “amount of money” based on the initial bid indicates the total amount of successful bids based on the initial bid base. In the example of FIG. 7, information such as “7654321” and “65443210” is stored as item values. “7654321” in the row of “Advertisement A” indicates that the total amount of successful bids made by the user who was in contact with the advertisement A before provisional conversion (first bid) is 7654321 yen. “6543210” in the “others” row indicates that the total amount of successful bids made by a user who has not set any event before provisional conversion (first bid) is 6543210 yen.

  The “successful bid” based on the final bid indicates the number of points of successful bids based on the final bid-based aggregation. In the example of FIG. 7, information such as “901” and “342” is stored as item values. “901” in the “notification” row indicates that the point of successful bid by the user who has been in contact with the notification before the provisional conversion (last bid) is 901 CV. “342” in the “other” row indicates that the point of the successful bid by the user who has not set any event before the provisional conversion (last bid) is 342 CV. At this time, the points may coincide with the number of successful bids based on the final bid.

  “Amount of money” based on the final bid indicates the total amount of successful bids based on the final bid base. In the example of FIG. 7, information such as “87654432” and “54332109” is stored as item values. “8765432” in the “notification” row indicates that the total amount of successful bids made by the user who has been in contact with the notification before the provisional conversion (last bid) is 8765432 yen. “5432109” in the “Others” row indicates that the total amount of successful bids made by a user who has not set any event before provisional conversion (final bid) is 5432109 yen.

(Control unit 33)
Returning to FIG. 5, the control unit 33 is a controller, and for example, various programs stored in a storage device inside the information processing apparatus 30 are executed by using a RAM or the like as a work area by a processor such as a CPU or MPU. It is realized by. The control unit 33 is a controller and may be realized by an integrated circuit such as an ASIC or FPGA, for example.

  As illustrated in FIG. 5, the control unit 33 includes an acquisition unit 331, a determination unit 332, a totaling unit 333, a generation unit 334, and an output control unit 335. The blocks (acquisition unit 331 to output control unit 335) constituting the control unit 33 are functional blocks that indicate the functions of the control unit 33. These functional blocks may be software blocks or hardware blocks. For example, each functional block described above may be one software module realized by software (including a microprogram), or may be one circuit block on a semiconductor chip (die). Of course, each functional block may be one processor or one integrated circuit. The method of configuring the functional block is arbitrary. In addition, the control part 33 may be comprised by the functional unit different from the above-mentioned functional block.

  The acquisition unit 331 acquires user history information related to a service in which final conversion (second conversion) occurs after provisional conversion (first conversion). For example, the acquisition unit 331 acquires user history information related to an auction in which a successful bid (final conversion) occurs after a bid (temporary conversion).

  Based on the history information, the determination unit 332 determines whether the final conversion that has occurred in the service is a conversion by a user in which a setting event has occurred before reaching the provisional conversion. For example, the determination unit 332 determines, based on the history information, whether a successful bid that occurred in an auction is a successful bid by a user who has generated a setting event before bidding in the auction.

  Further, the determination unit 332 determines, based on the history information, whether the final conversion is conversion by a user who has generated a set event within a set period before the provisional conversion. For example, the determination unit 332 determines, based on the history information, whether a successful bid that has occurred in an auction is a successful bid by a user who has generated a set event within a set period before auction is bid.

  Further, the determination unit 332 determines, based on the history information, whether the final conversion is conversion by a user for whom no setting event has occurred within a setting period before the temporary conversion. For example, based on the history information, the determination unit 332 determines whether a successful bid that has occurred in an auction is a successful bid by a user who has not generated any setting event within a setting period before the bidding in the auction.

  Further, the determination unit 332 determines, based on the history information, whether the successful bid that occurred in the auction is a successful bid by the user who has generated the setting event before making the first bid in the auction. At this time, the determination unit 332 may determine, based on the history information, whether the successful bid that occurred in the auction is a successful bid by a user who has generated a setting event within a setting period before the first bidding in the auction.

  Further, the determination unit 332 determines, based on the history information, whether the successful bid that occurred in the auction is a successful bid by the user who has generated the setting event before the last bid is made in the auction. At this time, the determination unit 332 may determine, based on the history information, whether the successful bid that occurred in the auction is a successful bid by a user who has generated a set event within a set period before the last bid is made in the auction.

  Further, the determination unit 332 determines, based on the history information, whether the final conversion is conversion by a user who has contacted an advertisement or notification regarding the service before reaching the provisional conversion. For example, based on the history information, the determination unit 332 determines whether a successful bid that occurred in an auction is conversion by a user who has contacted an advertisement or notification related to the auction before bidding in the auction. At this time, the determination unit 332 may determine, based on the history information, whether the successful bid that occurred in the auction is conversion by a user who has contacted the advertisement or notification related to the auction within a set period before the bidding in the auction. .

  Further, the determination unit 332 determines, based on the history information, whether the final conversion is conversion by a user who has searched or registered for the service before reaching the provisional conversion. For example, the determination unit 332 determines, based on the history information, whether the successful bid that occurred in the auction is conversion by a user who has searched or registered for the auction before bidding in the auction. At this time, the determination unit 332 may determine, based on the history information, whether the successful bid that occurred in the auction is conversion by a user who has searched or registered for the auction within a set period before the bidding in the auction.

  The aggregation unit 333 aggregates the determination results of the determination unit 332. Specifically, the aggregation unit 333 generates aggregation information based on the determination result of the determination unit 332. At this time, the totaling unit 333 performs initial bidding-based totaling and / or final bidding-based totaling based on the determination result of the determining unit 332.

  The generation unit 334 generates result information to be output to a user (analyzer, etc.) based on the aggregation information generated by the aggregation unit 333. The result information may be total information itself.

  The output control unit 335 outputs the result information generated by the generation unit 334 to the user (analyzer, etc.).

[6. Processing flow of information processing apparatus]
Next, the procedure of processing executed by the information processing apparatus 30 will be described with reference to FIG. FIG. 8 is a flowchart illustrating an example of the aggregation process. When the information processing apparatus 30 receives a process start command from a user who operates the information processing apparatus 30, the information processing apparatus 30 starts a counting process.

  First, the information processing apparatus 30 acquires history information related to a user's auction from the service providing server 20 (step S11). At this time, the information processing apparatus 30 may acquire history information of all users who have used the auction service.

  Subsequently, the information processing device 30 searches the successful bid history from the history information of the plurality of users acquired in step S11, and has not yet performed the following processing (steps S12 to S16). It is determined whether there is a successful bid history (step S12).

  When a new successful bid history is found as a result of the search (step S12: Yes), the information processing apparatus 30 determines whether the successful bid indicated by the successful bid history is a successful bid in which an event has occurred before the “first bid” (step S13). ). For example, the information processing apparatus 30 determines, based on the history information, whether the successful bid indicated by the successful bid history is a successful bid by a user who has generated a set event within the set period before the “first bid”. If it is not a successful bid in which an event has occurred before the first bidding (step S13: No), the information processing apparatus 30 advances the process to step S15.

  In the case of a successful bid in which an event has occurred before the first bidding (step S13: Yes), the information processing apparatus 30 registers the determination result in the aggregate information database 322 shown in FIG. 7 (step S14). For example, if the setting event is a contact with the advertisement B of the user, the information processing apparatus 30 adds 1 CV to the numerical value of the item “advertisement B” in the “successful bid” based on the initial bid. Note that if the successful bid history includes information on the winning bid amount, the information processing apparatus 30 may add the winning bid amount to the numerical value of the item “advertisement B” in the “amount” of the initial bid base. If the successful bid indicated by the successful bid history is not a successful bid in which an event has occurred before the first bid (step S13: No), the information processing apparatus 30 performs the “successful bid” based on the initial bid before proceeding to step S15. Among them, 1 CV may be added to the numerical value of the item “others”. At this time, if information on the winning bid amount is included in the winning bid history, the information processing apparatus 30 may add the winning bid amount to the numerical value of the item “other” in the “amount” of the initial bid base.

  Subsequently, the information processing apparatus 30 determines whether the successful bid indicated by the successful bid history is a successful bid in which an event has occurred before the “last bid” (step S15). For example, the information processing apparatus 30 determines, based on the history information, whether the successful bid indicated by the successful bid history is a successful bid by a user who has generated a set event within the set period before the “last bid”. If it is not a successful bid in which an event has occurred before the last bid (step S15: No), the information processing apparatus 30 records the fact that the successful bid has been processed in the storage unit 32 and returns the process to step S12.

  In the case of a successful bid in which an event has occurred before the final bidding (step S15: Yes), the information processing apparatus 30 registers the determination result in the total information database 322 (step S16). For example, if the setting event is a contact to the user's notification, the information processing apparatus 30 adds 1 CV to the numerical value of the item “notification” in the “successful bid” based on the final bid. If the information on the winning bid amount is included in the winning bid history, the information processing apparatus 30 may add the winning bid amount to the numerical value of the “notification” item in the “amount” of the final bid basis. If the successful bid indicated by the successful bid history is not a successful bid in which an event has occurred before the last bid (step S15: No), the information processing apparatus 30 returns the “successful bid” based on the final bid before returning the processing to step S12. Among them, 1 CV may be added to the numerical value of the item “others”. At this time, if information on the winning bid amount is included in the winning bid history, the information processing apparatus 30 may add the winning bid amount to the numerical value of the item “other” in the “amount” of the final bid basis.

  Returning to step S12, if a new successful bid history is not found as a result of the search (step S12: No), the information processing apparatus 30 obtains result information based on the total information stored in the total information database 322 shown in FIG. Is generated (step S17). The result information may be “successful bid” and “amount” based on the initial bid or the final bid based on the event designated by the user. Of course, the result information may be the total information itself.

  When the generation of the result information is completed, the information processing apparatus 30 outputs the result information to the user (Step S18). When the output is completed, the information processing apparatus 30 ends the aggregation process.

[7. (Modification)
The above-described embodiment shows an example, and various changes and applications are possible.

  For example, in the above-described embodiment, the first pre-bid event is a contact with the user's advertisement, but the last pre-bid event is not limited to the user's contact with the advertisement. For example, the last pre-bid event may be a contact to the user's notification, or a search or registration regarding the user's auction.

  In the above-described embodiment, the last pre-bid event is a contact to the user's notification. However, the last pre-bid event is not limited to the user's notification. For example, the last pre-bid event may be a user's contact with an advertisement or a search or registration for a user's auction.

  The contact with the advertisement is not limited to the click of the advertisement. The contact with the advertisement may simply be that the user opens the advertisement placement page.

  In the above-described embodiment, the page is a web page, but the page is not limited to the web page. For example, the page may be a page (for example, an application screen) created for the purpose of being displayed on the user interface screen. In this case, the page does not necessarily have to be distributed via the network. The page may be a screen installed in advance in the terminal device 10.

  Further, the information processing apparatus 30 described above acquires the history information from the service providing server 20, but may acquire the history information from a server other than the service providing server 20.

  In the above-described embodiment, the notification as the setting event is a deadline notification, but the notification is not limited to the deadline notification. For example, the notification may be an auction start notification. The notification may be an email or a push notification.

  Further, in the above-described embodiment, the information processing device 30 is assumed to have 1 CV per successful bid for points given to events. However, the points given to the event need not be 1 CV per successful bid. For example, the information processing apparatus 30 may give different points for each event.

  In the above-described embodiment, the information processing apparatus 30 sets the temporary conversion to the first bid or the last bid, but the temporary conversion is not limited to the first bid and the last bid. The provisional conversion may be an intermediate bid located between the first bid and the last bid.

  In the above-described embodiment, the information processing apparatus 30 performs the initial bid-based aggregation and the final bid-based aggregation. However, the information processing apparatus 30 may perform other aggregations. The information processing apparatus 30 may perform aggregation based on a determination result in which temporary conversion is an intermediate bid.

  In the above-described embodiment, the information processing apparatus 30 sets the final conversion in which the setting event has occurred within the “setting period” before the temporary conversion as the aggregation target of the aggregation information. However, the information processing apparatus 30 may simply set the final conversion in which the setting event has occurred before the temporary conversion as the aggregation target of the aggregation information.

  The control device that controls the information processing apparatus 30 according to the present embodiment may be realized by a dedicated computer system or may be realized by a normal computer system. For example, a program for executing the above-described operation is stored and distributed in a computer-readable recording medium such as an optical disk, a semiconductor memory, a magnetic tape, or a flexible disk, the program is installed in the computer, and the above-described processing is performed. You may comprise a control apparatus by performing. The control device may be an external device (for example, a personal computer) of the information processing device 30 or an internal device (for example, the control unit 33). Further, the program may be stored in a disk device provided in a server device on a network such as the Internet so that it can be downloaded to a computer. Further, the above-described functions may be realized by cooperation between an OS (Operating System) and application software. In this case, a part other than the OS may be stored and distributed in a medium, or a part other than the OS may be stored in a server device and downloaded to a computer.

  In addition, among the processes described in the above embodiments, all or a part of the processes described as being automatically performed can be manually performed, or the processes described as being manually performed All or a part of the above can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  Moreover, each embodiment mentioned above can be combined suitably in the range which does not contradict a process content.

[8. Hardware configuration)
The information processing apparatus 30 according to the embodiment and the modification can be realized by a computer 1000 having a configuration as illustrated in FIG. 9, for example. FIG. 9 is a hardware configuration diagram illustrating an example of a computer that implements the functions of the information processing apparatus 30. The computer 1000 includes a CPU (Central Processing Unit) 1100, a RAM 1200, a ROM 1300, an HDD (Hard Disk Drive) 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F). ) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the network N and sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the network N.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via an input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. In addition, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the information processing apparatus 30 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 33 by executing a program loaded on the RAM 1200. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the network N.

  As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications based on the knowledge of those skilled in the art, including the aspects described in the disclosure line of the invention. It is possible to implement the present invention in other forms with improvements.

[9. effect〕
According to the present embodiment, the information processing apparatus 30 acquires the user history information related to a service in which the final conversion (second conversion) occurs after the temporary conversion (first conversion). Based on the history information, the determination unit 332 determines whether the final conversion that has occurred in the service is a conversion by a user in which a setting event has occurred before reaching the provisional conversion. Even if the setting event occurrence history is included in the history information of the user who has reached the final conversion, the final conversion is not necessarily caused by the setting event in the history. Since the information processing apparatus 30 uses the final conversion in which the setting event has occurred before the temporary conversion as an analysis target, it is possible to perform a highly accurate analysis regarding a service in which the final conversion occurs after the temporary conversion.

  In addition, the information processing apparatus 30 determines, based on the history information, whether the final conversion is conversion by a user who has generated a setting event within a setting period before the temporary conversion. Even if there is a setting event before the temporary conversion, if the interval between the temporary conversion and the setting event is too far away, it cannot be said that the setting event contributed to the user's temporary conversion. Since the information processing apparatus 30 analyzes the final conversion in which the set event has occurred within the “set period” before the temporary conversion, it is possible to perform highly accurate analysis.

  Further, the information processing apparatus 30 determines, based on the history information, that the final conversion is a conversion by a user for which no setting event has occurred within a setting period before the temporary conversion. Thereby, the analyst can know that the user has reached the final conversion due to a factor other than the set event.

  In addition, the information processing apparatus 30 determines, based on the history information, whether the final conversion is a conversion by a user who has contacted an advertisement or notification related to the service before reaching the provisional conversion. This allows the analyst to know the contribution of the advertisement or notification to the final conversion.

  In addition, the information processing apparatus 30 determines, based on the history information, whether the final conversion is conversion by a user who has searched or registered for a service before reaching the provisional conversion. This allows the analyst to know the contribution of the search or registration to the final conversion.

  Further, the information processing apparatus 30 acquires history information related to the auction. Then, the information processing apparatus 30 determines, based on the history information, whether the successful bid (final conversion) that occurred in the auction is a successful bid by the user who has generated the setting event before bidding (temporary conversion) in the auction. For example, based on the history information, the information processing apparatus 30 determines whether a successful bid that occurred in an auction is a successful bid by a user who has generated a set event within a set period before auction is bid. Even if there is a setting event occurrence history in the history information of the user who has made a successful bid, the successful bid is not necessarily due to the set event in the history. Since the information processing apparatus 30 uses a successful bid in which a setting event has occurred before provisional conversion as an analysis target, it is possible to perform a highly accurate analysis regarding the auction.

  Further, the information processing apparatus 30 acquires history information related to the auction. Then, the information processing apparatus 30 determines, based on the history information, whether the successful bid that occurred in the auction is a successful bid by the user who has generated the setting event before making the final bid in the auction. For example, the information processing apparatus 30 determines, based on the history information, whether a successful bid that occurred in an auction is a successful bid by a user who has generated a setting event within a setting period before the last bidding in the auction. Thereby, the analyst can know the contribution of the event that occurred before the final bidding to the successful bid.

  Further, the information processing apparatus 30 acquires history information related to the auction. Then, the information processing apparatus 30 determines, based on the history information, whether the successful bid that occurred in the auction is a successful bid by the user who has generated the setting event before making the first bid in the auction. For example, the information processing apparatus 30 determines, based on the history information, whether a successful bid that has occurred in an auction is a successful bid by a user who has generated a setting event within a setting period before the first bidding in the auction. Thereby, the analyst can know the contribution to the successful bid of the event that occurred before the first bid.

  As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications, including the aspects described in the disclosure section of the invention, based on the knowledge of those skilled in the art, It is possible to implement the present invention in other forms with improvements.

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the determination unit can be read as a determination unit or a determination circuit.

1 ... information processing system 10, 10 _{1, 10} 2, 10 3 _... terminal device 11, 21, 31 ... communication unit 12 ... input portion 13,22,32 ... storage unit 14 ... output portion 15,23,33 ... controller DESCRIPTION OF SYMBOLS 20 ... Service provision server 30 ... Information processing apparatus 321 ... History information database 322 ... Total information database 331 ... Acquisition part 332 ... Discrimination part 333 ... Total part 334 ... Generation part 335 ... Output control part C11-C19 ... Bid C21, C22 ... Successful bid E11, E12, E21, E22 ... notification

Claims (13)

An acquisition unit for acquiring user history information related to a service in which a second conversion occurs after the first conversion;
A determination unit that determines, based on the history information, whether the second conversion that has occurred in the service is conversion by a user in which a predetermined event has occurred before reaching the first conversion;
An information processing apparatus comprising: The determination unit determines, based on the history information, whether the second conversion is conversion by a user who has generated the predetermined event within a predetermined period before reaching the first conversion.
The information processing apparatus according to claim 1. The determination unit determines, based on the history information, whether the second conversion is conversion by a user in which the predetermined event has not occurred in a predetermined period before the first conversion.
The information processing apparatus according to claim 1 or 2. The determination unit determines, based on the history information, whether the second conversion is conversion by a user who contacts an advertisement or notification related to the service before reaching the first conversion.
The information processing apparatus according to any one of claims 1 to 3. The determination unit determines, based on the history information, whether the second conversion is conversion by a user who has searched or registered for the service before reaching the first conversion.
The information processing apparatus according to claim 1, wherein the information processing apparatus is an information processing apparatus. The acquisition unit acquires the history information related to an auction,
The determination unit determines, based on the history information, whether a successful bid that occurred in the auction is a successful bid by a user who has generated the predetermined event before bidding in the auction.
The information processing apparatus according to claim 1, wherein the information processing apparatus is an information processing apparatus. The determination unit determines whether a successful bid that occurred in the auction is a successful bid by a user who has generated the predetermined event within a predetermined period before bidding in the auction, based on the history information.
The information processing apparatus according to claim 6. The acquisition unit acquires the history information related to an auction,
The determination unit determines, based on the history information, whether a successful bid that has occurred in the auction is a successful bid by a user in which the predetermined event has occurred before the first bidding in the auction.
The information processing apparatus according to any one of claims 1 to 7. The determination unit determines, based on the history information, whether a successful bid that has occurred in the auction is a successful bid by a user who has generated the predetermined event within a predetermined period before the first bidding in the auction.
The information processing apparatus according to claim 8. The acquisition unit acquires the history information related to an auction,
The determination unit determines, based on the history information, whether a successful bid that occurred in the auction is a successful bid by a user who has generated the predetermined event before making a final bid in the auction.
The information processing apparatus according to any one of claims 1 to 9. The determination unit determines, based on the history information, whether a successful bid that has occurred in the auction is a successful bid by a user who has generated the predetermined event within a predetermined period before the final bidding in the auction.
The information processing apparatus according to claim 10. An information processing method executed by an information processing apparatus,
An acquisition step of acquiring user history information related to a service in which a second conversion occurs after the first conversion;
A determination step of determining, based on the history information, whether the second conversion occurring in the service is a conversion by a user in which a predetermined event has occurred before reaching the first conversion;
An information processing method comprising: An acquisition procedure for acquiring user history information regarding a service in which a second conversion occurs after the first conversion;
A determination procedure for determining, based on the history information, whether the second conversion that has occurred in the service is conversion by a user in which a predetermined event has occurred before reaching the first conversion;
Processing program for causing a computer to execute.

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