JP6316353B2 - Aggregation device and aggregation method - Google Patents

Description

  The present invention relates to a counting device and a counting method.

  2. Description of the Related Art Conventionally, a system for collecting information about customers who visit a store has been used in a game store where a game machine such as a pachinko machine is installed. For example, by collecting information for each item such as age, gender, game time zone, day of week, etc. of customers who visit the store, the tendency of customers (players) who visit the game store is analyzed and used for the operation of the game store (For example, refer to Patent Document 1).

  For example, when a customer enters a store by running a dedicated store management application on a mobile terminal owned by the customer, a conventional system can receive data from a transmitting device installed at a game hall (entrance). In response, predetermined information is transmitted from the mobile terminal to the cloud server. The cloud server can receive the information received from the mobile terminal of each customer, and can total for each item as described above.

JP2015-171487A

  As described above, in the prior art, a dedicated store visit application must be downloaded and executed in advance on a mobile terminal owned by the customer, which imposes a burden on the customer. Moreover, even if the customer who has the portable terminal but does not execute the store visit management application can visit the store, the customer cannot be counted.

  Furthermore, in the conventional system, only data for a period during which the customer stays in the store is obtained, and the tabulation processing is naturally limited to those within that period. For example, it was impossible to obtain various types of tabulation results, such as whether or not the customer visited another store during a time period other than the stay period of the store.

  An object of the present invention is to provide a counting device and a counting method capable of counting various information related to customers who have visited a store.

  The tabulation device according to one aspect of the present invention has a customer or a customer possessed at each of a plurality of times over the entire unit period for a customer who stays in an arbitrary store or an area including the store for a predetermined time or more within a unit period. Storage means for storing action data obtained by associating identification information for identifying a portable electronic device and position information of the portable electronic equipment at each time, a counting means for counting action data, and a counting result by the counting means are externally displayed Transmitting means for transmitting to the apparatus.

  According to the present invention, at each of a plurality of times throughout a unit period (for example, one day), identification information for identifying a customer or a portable electronic device possessed by the customer and the portable electronic device at each time Since it totals using the action data linked | related with position information, various information regarding the customer who visited the store can be totaled.

The figure which shows the structure of the action data totaling system containing the data totaling server which concerns on one Embodiment of this invention. The block diagram which shows the structure of the data totaling server which concerns on one Embodiment of this invention. The figure which shows the concept of the action data memorize | stored in the server group which concerns on one Embodiment of this invention. The figure which shows the concept of the action data which the data totaling server which concerns on one Embodiment of this invention receives from a server group. The flowchart of the data totaling process in the data totaling server which concerns on one Embodiment of this invention. The flowchart of the repeater determination process in the data totaling server which concerns on one Embodiment of this invention. The figure which shows an example of the total result displayed on the screen of shop PC by the data totaling server which concerns on one Embodiment of this invention. The figure which shows an example of the total result displayed on the screen of shop PC by the data totaling server which concerns on one Embodiment of this invention. The flowchart of the movement determination process between stores in the data totaling server which concerns on one Embodiment of this invention.

Embodiments of the present invention will be described below with reference to the drawings.
FIG. 1 is a diagram showing a configuration of an action data totaling system including a data totaling server (also referred to as a totaling apparatus) 10 according to an embodiment of the present invention. The behavior data totaling system in this embodiment includes a data totaling server 10, a plurality of store PCs (personal computers) 12 (12-1, ..., 12-n), a server group (cloud server) 14 (location information service server 16- 1), and are communicably connected via a network 8 including the Internet. The location information service server 16-1 is connected to a mobile communication network 18 including a portable electronic device 19. The portable electronic device 19 is a portable device equipped with a wireless communication function, such as a smartphone, a mobile phone, a mobile PC (Personal Computer), and a tablet terminal. The store PC 12 (12-1,..., 12-n) is installed in a game store (store) where a game machine such as a ball game machine (pachinko machine) or a revolving game machine (pachislot machine) is installed. And requests the data totaling server 10 to provide a totaling result for grasping customer trends.

  The data totaling server 10 collects and accumulates, from the server group 14 (cloud server), behavior data corresponding to data collection conditions determined in advance for each amusement shop (store PC 12) in which gaming machines such as pachinko machines are installed. Then, the accumulated action data is used for aggregation processing, and the aggregation result is transmitted to the store PC 12. In addition, as a transmission method of the total result from the data totaling server 10 to the store PC 12, the access to the data totaling server 10 by the store PC 12 is triggered in response to a total result distribution request from the store PC 12 to the data totaling server 10. Pull-type distribution in which the totaling result is transmitted from the data totaling server 10 to the store PC 12 may be adopted, or the data totaling server 10 actively sends the total result to the store PC 12 at a constant cycle without receiving a request from the store PC 12. It is also possible to employ push-type distribution in which is transmitted.

  In addition, what is important in the present embodiment is that the aggregation result (information) acquired by the data aggregation server 10 can be utilized (displayed, accumulated, processed, printed, etc.) by the store PC 12, so that the data aggregation server The method of providing data indicating the counting result from 10 to each store PC 12 is not limited to the one via the network as described above, but may be via a portable memory such as a flash memory, for example, FAX, telephone, orally. The operator of the data totaling server 10 may be transmitted to the operator of the store PC 12 by such means, and input to the PC by the operator of the store PC 12.

  The action data is, for example, time-series position data of the portable electronic device 19. For example, the position (for example, latitude and longitude) of the portable electronic device 19 is assigned to a unique terminal ID that can identify the portable electronic device 19. The position information shown is associated with the time stamp indicating the time when the position information was acquired by the server group 14. Typically, position information is periodically acquired at a constant interval (acquisition interval) such as 10 minutes.

  In one embodiment of the present invention, in accordance with data collection conditions, the user stayed in an arbitrary store location or an area including the store for a time (reference time) that is a reference for determining that the customer stayed in the store. Behavior data for the entire unit period such as one day for the customer, that is, behavior data for the stay period in which the customer stays in the store, and behavior data for a period (time period) in which the customer does not stay in the store Are repeatedly collected by the data tabulation server 10 in a unit period cycle (for example, one day). Furthermore, a predetermined stay in another store in an area including the store or the location of another store (typically another store in the vicinity (for example, competing store)) that is associated with an arbitrary store in advance. For customers who have stayed for more than an hour, behavior data for the entire unit period such as a day, that is, behavior data for the stay period in which the customer stays in the store, and behavior data for a period in which the customer does not stay in the store Are repeatedly collected in the data tabulation server 10 in a unit period cycle.

  As described above, in this embodiment, behavior data (information that associates a customer, time, and position) about a customer who has visited the target store (target store) is used. It is possible to know at what time zone in the period the customer visited the target store, and from a macro perspective, the number of visitors to the target store within a predetermined period and during a certain period of the predetermined period Can be obtained.

  Moreover, in addition to the stay period of the store related to the customer who visited the target store in this way, by collecting action data over the entire unit period such as one day including the period of not staying, the store visits the target store In addition to the aggregated results, you can aggregate various information such as the aggregated results such as the ratio of customers who visited the target store to other stores and the most frequent routes until the customer visits the target store .

  The position information is not limited to the latitude and longitude of the place where the store is located, and may be a code that designates any specific area when an area is set in advance in the map, for example. The area may be either a grid area defined in the map or an area that divides a store site. Moreover, if the data totaling server 10 and the server group 14 have registered the position (latitude and longitude, area) for each store, data may be collected using data (store ID) for specifying the store. The data indicating the stay time can be designated as “10 minutes”, “1 hour”, “2 hours”, for example. The data indicating the staying time may indicate one time common to all the position information when transmitting position information of a plurality of stores, or may indicate a different time for each store. Changing the time to analyze customer trends including customers who have visited the store even for a short time, or analyzing trends of customers who have been in the store for a long time (for example, customers who win games) In addition, the customers to be analyzed can be limited.

  The server group 14 as data providing source means provides the data totaling server 10 with action data corresponding to the data collection conditions set in advance by the data totaling server 10. The server group 14 may provide behavior data from only one server to the data aggregation server 10, or a plurality of servers 16-1, 16-2, 16-3 provide behavior data to the data aggregation server 10, respectively. You may do it. Further, the plurality of servers 16-1, 16-2, 16-3 included in the server group 14 obtain data from the portable electronic device 19 in cooperation, and integrate the data with any of the servers. It may be provided to the aggregation server 10. In the following description, it is assumed that the data aggregation server 10 collects behavior data from the location information service server 16-1.

  The plurality of servers included in the server group 14 provide various services to the portable electronic device 19, for example. For example, a server that implements a service that provides weather information, a service that displays a current position on a map, a service that provides transfer guidance using transportation means such as a railroad, and the like is included. If the user of the portable electronic device 19 normally uses such a service, the user must set the position detection function (such as GPS (Global Positioning System)) to be effective in order to use these services. Become. Therefore, position information (for example, latitude and longitude) indicating the current position of the portable electronic device 19 using the service is acquired by each server included in the server group 14. In the server group 14, without causing the portable electronic device 19 to execute a special program for acquiring position information, the portable electronic device 19 is set to a time stamp indicating the time when the position information is acquired from the portable electronic device 19. Identification information (terminal ID) to be identified and position information can be associated and stored as behavior data in time series.

  The server included in the server group 14 may include a server of a company that manages the mobile communication network 18. In this case, the action data is recorded based on the data of the position of the portable electronic device 19 in the mobile communication network 18 (the position specified based on the position of at least one base station capable of wireless communication). May be. The mobile communication network 18 is a communication network including a portable electronic device 19 equipped with a wireless communication function. The mobile communication network 18 controls communication between the portable electronic devices 19 and is provided by a server included in the server group 14. Control communication for services.

  FIG. 2 is a block diagram showing the configuration of the data tabulation server 10 according to an embodiment of the present invention. In FIG. 2, the information transmitted / received between the data totalization server 10, the positional information service server 16-1, and store PC12 is shown. As shown in FIG. 2, the data totaling server 10 includes a control unit 20, a storage unit 21, a communication unit 22, an input unit 23, and a display unit 24. The control unit 20 includes a processor (CPU) and a memory, and performs various controls by executing a program stored in the memory. The control unit 20 receives the behavior data corresponding to the conditions (store location, stay time) from the server group 14 (cloud server) by executing the behavior data totaling program, totals the received data, and stores Data totaling processing to be output to the PC 12 is realized.

  The storage unit 21 provides the store PC 12 with data collection conditions (store location and stay time) that are predetermined for each store PC 12, behavior data periodically collected from the server group 14, and various tabulation results for the behavior data. Data and the like are stored. The communication unit 22 controls communication with the server group 14, the store PC 12, and the like. The input unit 23 inputs data corresponding to an operation of an input device (keyboard, mouse, etc.) by an administrator of the data aggregation server 10 or the like. The display unit 24 displays on the display a screen representing the content of processing by the control unit 20.

  FIG. 3 is a diagram showing a concept of behavior data of the portable electronic device 19 stored in the server group 14 (location information service server 16-1) according to the embodiment of the present invention. As shown in FIG. 3, in the server group 14, the position information (latitude and longitude) acquired from the portable electronic device 19 as the terminal ID for specifying the portable electronic device 19 and the time indicating the time when this position information was acquired. A huge amount of data associated with the stamp is stored. The server group 14 acquires the current position detected by the position detection function of the mobile communication network 18 at regular intervals (for example, every 10 minutes) and accumulates it as action data. Therefore, when the owner of the portable electronic device 19 moves while holding the portable electronic device 19, position information along the movement path is continuously stored. In addition, when position information indicating the same position is continuously stored, the portable electronic device 19 (the owner who owns the portable electronic device 19) stays at the position indicated by the position information. Can be determined. Note that the server group 14 does not identify the owner of the portable electronic device 19 based on the terminal ID.

  FIG. 4 is a diagram showing the concept of behavior data collected from the server group 14 by the data aggregation server 10 according to an embodiment of the present invention. FIG. 4 shows an example of behavior data collected according to data collection conditions requested from the data totaling server 10 to the server group 14 (location information service server 16-1), for example. That is, an example is shown in which not only the target store AA but also the location information of the stores BB and CC that are competing stores of the store AA is set as the action data collection condition. In the present embodiment, the data collection condition for the target store is the location information of the target store AA and the staying time (here, 10 minutes), and the data collection condition for the competitive store is the competitive store BB, Explanation will be made on the location information and the staying time (here, 10 minutes) of each CC.

  The location information service server 16-1 extracts behavior data that matches the data collection conditions for the target store and the competitor store from the behavior data stored as shown in FIG. That is, the location information service server 16-1 extracts behavior data having location information that matches the location information of the target store AA, and further extracts those with the same terminal ID from the extracted behavior data. With reference to the stamp, if the corresponding portable electronic device 19 has not moved for 10 minutes or more set as the staying time, it is determined that the user has stayed at the target store AA. In this way, the collation process with the data collection condition for the target store AA is executed. When it is determined that the extracted terminal ID stays in the store AA, the location information service server 16-1 stores all the action data within the unit period (such as one day) for the terminal ID (while staying in the store AA). Behavior data and behavior data when not staying in the store AA) is sent to the data totaling server 10 (behavior data for store AA). Such processing is executed for all terminal IDs associated with the position information that matches the position information of the store AA.

  The competing stores BB and CC are processed in the same manner, and the matching process with the data collection conditions is performed. The location information service server 16-1 as the data supply source means for executing the matching process transmits the store BB behavior data and the store CC behavior data obtained in this way to the data aggregation server 10.

  Note that the location information service server 16-1 is determined not only to be action data including location information that completely matches the location information (latitude and longitude) of a predetermined store, but also to stay in a preset area. Alternatively, the behavior data of the portable electronic device 19 may be extracted and transmitted to the data aggregation server 10.

  In the present embodiment, the collation process with the data collection condition is executed by the location information service server 16-1, which is a separate device from the data tabulation server 10, but the execution place of the collation process is not a problem. That is, the collation processing function may be incorporated into the data aggregation server 10 and the collation processing may be executed by the data aggregation server 10. In this case, for example, the storage unit that stores the collated action data included in the data totaling server 10 serves as the data supply source unit.

  The data totaling server 10 is determined to be staying at the position indicated by the position information of each of the stores AA (target stores) and other stores (competitor stores) BB and CC previously associated with the store AA. The behavior data of the electronic device 19 is received (the behavior data for store AA, the behavior data for store BB, the behavior data for store CC). For example, although the data shown in FIG. 4 is received, the behavior data for AA store in FIG. 4 includes the terminal ID of the portable electronic device 19 determined to have stayed at the AA store even once during the unit period. All the behavior data during the unit period (here, for a predetermined day) is included (the behavior data for the BB store and the behavior data for the CC store are the same). As described above, when there are a plurality of portable electronic devices 19 that are determined to be staying for each store AA, BB, CC, behavior data corresponding to each portable electronic device 19 is received. . In addition, the behavior data corresponding to one portable electronic device 19 includes not only behavior data for a period of staying in the store but also data for a period of time other than the store.

  The data totaling server 10 receives the action data for the previous day from the location information service server 16-1 at a preset time, for example, once a day. Therefore, the data totaling server 10 acquires action data corresponding to customers who have visited the store and sequentially accumulates them.

  Next, the operation of the behavior data totaling system will be described. FIG. 5 is a flowchart of data totaling processing in the data totaling server 10 according to an embodiment of the present invention. The store PC 12 accesses a data aggregation service site established by the data aggregation server 10 and requests provision of aggregation results necessary for analyzing customer trends.

  The data totaling server 10 transmits action data collection conditions for a plurality of preset stores to the location information service server 16-1 (A1). Of course, the action data collection conditions may be set in advance for each of a plurality of stores in the location information service server 16-1. The location information service server 16-1 extracts behavior data corresponding to behavior data collection conditions from behavior data of a large number of portable electronic devices 19 acquired in the server group 14 in response to a request from the data aggregation server 10. To the data totaling server 10. The location information service server 16-1 does not respond to a request from the data aggregation server 10, but the data aggregation server 10 obtains behavior data corresponding to preset behavior data collection conditions from the location information service 10. A schedule set in advance for the server 16-1, for example, may be transmitted to the data aggregation server 10 at a specific time every day.

  By associating other stores (for example, competing stores) in advance with the target store (target store) for collecting behavior data, and collecting the behavior data of those stores, for example, flyer distribution, When a promotion action such as posting is performed, not only the trend of customers who visit the target store that changes due to the promotion action, but also the trend of customers who visit other stores by specifying other stores close to a specific area In addition, it is possible to identify the most frequently used route to the target store and to effectively determine the leaflet distribution location, and to better understand the effectiveness of those promotional activities. Can do.

  The data tabulation server 10 receives behavior data of a plurality of stores (store PCs 12-1,..., 12-n) from the location information service server 16-1 at, for example, a predetermined time in one day as a unit period. (Step A2). Here, for example, the action data for the previous day is received. The data totaling server 10 stores the behavior data received from the location information service server 16-1 in the storage unit 21 (step A3). In the present embodiment, since the location information service server 16-1 transmits behavior data grouped for each store as shown in FIG. 4, the data aggregation server 10 organizes the behavior data for each store. The data is stored in the storage unit 21. The organizing method may be any method. For example, for a certain store, the data may be sorted based on the terminal ID. In this case, regardless of the acquired date and time, the predetermined terminal IDs are sorted in the order of time stamps. Therefore, in the data totaling server 10, the action data received from the location information service server 16-1 is accumulated for a plurality of days. In addition to receiving behavior data in units of one day, behavior data for an arbitrary time width, for example, 4 hours may be received in a 4-hour cycle.

  The store PC 12 accesses the data aggregation service site established by the data aggregation server 10 and browses the result of the action data aggregation acquired from the location information service server 16-1 according to the collection conditions. Can do. When the data totaling server 10 logs in to the data totaling service site from the store PC 12 (Step A4, Yes), the data totaling server 10 executes the totaling process on the behavior data (Step A5), and visually recognizes it from the totalization result of the behavior data. Display screen data to be generated is generated and transmitted to the store PC 12 (step A6).

  FIG. 6 shows a flowchart showing a repeater determination process as an example of the aggregation process in the data aggregation server 10 according to the embodiment of the present invention. In the repeater determination process, the behavior data associated with the store corresponding to the logged-in store PC 12 is targeted, and the total number of visitors in an arbitrary counting period (for example, every month) is totaled, and the number of store visitors is specified to the store. The number of customers who visited the store less than the number of visits and the number of customers who visited the store more than the predetermined number of visits (the number of repeater visitors) are counted separately. For example, by default, the number of visits for repeater determination is set to “2”, and a new customer who visits the store for the first time and a customer (repeater) who visits the store more than once are counted separately. Can be set to an arbitrary number of 3 or more. Here, the number of visits to the repeater determination will be described as “2”. The total period is, for example, specified by default for the current month, or specified by an operation on the store PC 12 by a store employee.

  The data totaling server 10 (control unit 20) inputs designation of the reference date for repeater determination (step B1), and the reference date among the behavior data of the store corresponding to the store PC 12 determined to be logged in at step A4. Action data for a period to be counted based on the is acquired from the storage unit 21 (step B2). For example, when totaling the number of customers in May of 2016, May 1 of that year is input as the reference date for repeater determination. Below, one month for May of the said 2016 is made into a count object (counting period). Therefore, the data totaling server 10 extracts from the storage unit 21 the behavior data included in the May of 2016 in the behavior data of the store corresponding to the logged-in store PC 12. In the present embodiment, since the behavior data includes time information (time stamp), the total period can be arbitrarily changed, such as a predetermined day, a predetermined week, or the like.

  The data tabulation server 10 acquires the terminal ID, that is, the terminal ID of the portable electronic device 19 possessed by each customer who visited the store, from the behavior data acquired in Step B2 (Step B3). At this time, since action data is acquired in step B2, a plurality of action data is acquired for the same terminal ID. This is because the time stamp is set every 10 minutes, and for a given day, there are as many action data as the number of time stamps assigned to the terminal ID for that day. There is (for example, N action data (number of time stamps given per day) for terminal α). In this embodiment, in step B3, the action data having the earliest time in the counting period (in this case, May) for each terminal ID with reference to the time stamp among the action data acquired in step B2. (Also referred to as aggregation target action data) is extracted. The important thing in the present embodiment is that the data totaling server 10 is associated with the time information (time stamp) that coincides within the totaling period from the behavior data group stored in the storage unit 21. Is to acquire each. Therefore, it goes without saying that any method may be adopted as long as this can be realized.

  Then, for one of the terminal IDs of the tabulated terminal behavior data acquired in step B3, the behavior data including the same terminal ID is before the period to be tabulated (before the reference date for repeater determination (here 5th of 2016). The behavior data stored in the storage unit 21 is determined to determine whether it exists in the behavior data of the month 1)) (step B4).

  If the same terminal ID does not exist before the period to be counted (step B5, No), the data counting server 10 determines that the terminal ID of the portable electronic device 19 possessed by the new customer is present. Then, 1 is added to the number of new customers in the counting period (step B7). On the other hand, if the same terminal ID exists before the period to be counted (step B5, Yes), the data counting server 10 determines that the terminal ID of the portable electronic device 19 possessed by the repeater customer is present. Then, 1 is added to the number of repeaters in the counting period (step B6).

  As described above, in this embodiment, since the terminal ID of the portable electronic device 19 and its position information and time information are aggregated using action data, whether or not the user visited a predetermined store based on the position information. It is possible to determine whether or not the portable electronic device 19 corresponding to the terminal ID has been located in the store in the past based on the time information. ) And the actual number of customers who have already visited the store (repeaters).

  If a customer visits the store several times a day, or if the customer visits the store several times on different days, the number of visitors is added for each visit, and the number of new customers and repeaters is added accordingly. You may count.

  The data totaling server 10 determines a new customer or a repeater for each terminal ID included in the behavior data acquired from the location information service server 16-1 as described above, and totals the respective numbers (steps). B4 to B8). When the determination is completed for all the terminal IDs, the repeater determination process is ended.

  In this embodiment, when acquiring the number of visitors to a predetermined store, for example, the number of new customers and the number of repeaters acquired as described above may be added together. That is, the data tabulation server 10 adds the number of repeaters to the number of new customers acquired for the tabulation period, and tabulates the result as the number of visitors.

  In another form, the data totaling server 10 uses the data stored in the storage unit 21 to obtain a time stamp during the totaling period (May 2016) based on the time information (time stamp) of the behavior data. The terminal ID of the included behavior data is extracted, and the number of remaining IDs is counted by excluding duplicate terminal IDs from the extracted terminal IDs. This makes it possible to acquire the actual number of visitors to the store corresponding to the logged-in store PC during the counting period. That is, the data tabulation server 10 acquires each terminal ID of the tabulation behavior data acquired as described above, and tabulates the number as the number of actual customers. In the present embodiment, the total number of visitors to a predetermined store during a predetermined period may be counted based on the behavior data stored in the storage unit 21.

  In any case, in the present embodiment, the data totaling server 10 acquires the number of visitors to a predetermined store based on the behavior data.

  Returning to FIG. 5, the data totaling server 10 generates a screen for displaying a graph corresponding to the result of the totaling by the repeater determination process, and outputs the screen to the store PC 12 as the totaling result (step A6). FIG. 7 is a diagram illustrating an example of the aggregation results (D1 to D3) displayed on the screen of the store PC 12 by the data aggregation server 10 according to the embodiment of the present invention. D1 shown in FIG. 7 shows an example of a tabulation result screen obtained by the repeater determination process described above. D1 shows an example in which the number of customers in the counting period (May 2016) is displayed as a number, and is displayed as a pie chart so that the ratio between new customers and repeaters can be easily grasped. D2 shows an example in which the number of new customers and repeaters for the total period is displayed by a line graph. In D3, an example is shown in which the number of repeaters per day in the counting period is displayed as a line graph together with the number of repeaters per day counted based on the behavior data of other stores.

  FIG. 8 is a diagram illustrating an example of other tabulation results (D4 to D7) displayed on the screen of the store PC 12 by the data tabulation server 10 according to the embodiment of the present invention. D4 shown in FIG. 8 shows an example of a screen of a totaling result by repeater determination processing for a specified specific totaling period (for example, April 10, 2016 to May 20, 2016). At D5, the number of visitors to each day of the week is totaled, and the number of visitors on each day is displayed as a number, and the ratio of the number of visitors on each day is displayed in a pie chart. D6 shows an example in which, for each terminal ID acquired from the behavior data, the store visit frequency during the counting period is totaled, converted into the number of visits per week, and tabulated for each count. In D6, the weekly store frequency is classified as less than once, 2-3 times, 4-5 times, 6 times or more, and the number of customers corresponding to each category is displayed numerically, and each is indicated by a pie chart. The ratio of the number of customers corresponding to the classification is displayed. D7 shows an example in which the number of new customers and repeaters for the total period is displayed by a line graph. In the present embodiment, the data totaling server 10 counts the number of visitors to a predetermined store for each day of the week based on the data totaled in step A5 and totals the frequency of weekly store visits to a predetermined store. Execute the process.

  Further, for example, buttons for “own store analysis” and “competitive store analysis” may be displayed on a screen for displaying the total result, and any of them may be designated by an operation at the store PC 12. In this case, when the button “Analyze Store” is instructed, the data tabulation server 10 performs behavior data corresponding to the store (for example, store AA) (for example, behavior data for AA store in FIG. 4). When the “competitive store analysis” button is instructed, behavior data corresponding to other stores (for example, store BB, store CC) (for example, behavior for BB store in FIG. 4) is displayed. Data, CC store action data) may be displayed.

  In addition, about the result of the totaling based on action data, it is not limited to FIG.7 and FIG.8, Arbitrary totaling methods can be utilized. As a result of aggregation of behavior data corresponding to other stores, as shown in D3 of FIG. 7, behavior data corresponding to a plurality of stores is displayed in addition to a method of displaying graphs for a plurality of stores in one. Can be used to aggregate customers who use multiple stores.

  FIG. 9 is a flowchart showing the inter-store movement determination process for totaling customers who use a plurality of stores as an example of the totaling process in the data totaling server 10 according to the embodiment of the present invention. The data totaling server 10 (the control unit 20) inputs designation of the reference date for the determination of movement between stores (step C1) in the same manner as the repeater determination process described above, and is a period to be counted based on the reference date Behavior data for each store is acquired from the storage unit 21 (step C2).

  The data totaling server 10 extracts a common terminal ID from the behavior data for each store (step C3). That is, the terminal ID of the portable electronic device 19 possessed by a customer who has visited a plurality of stores is extracted. And terminal ID which moves between each shop based on terminal ID which is common in the action data for each shop is totaled (Step C4). For example, the total number of customers who move between stores, the number of customers who have moved between specific stores such as store A to store B, the number of movements by specific period (for example, each period before and after the promotional action), etc. it can. The data totaling server 10 generates a screen representing the totaling result as a graph or a graphic and outputs the generated screen to the store PC 12. In this way, the data aggregation server 10 can aggregate not only the behavior data for each store but also the aggregation based on the association of behavior data for a plurality of stores.

  In this way, the data tabulation server 10 collects behavior data including the position information acquired from the portable electronic device 19 accumulated in the server group 14 from the collection conditions (store position, stay time) designated from the store PC 12. Is set in the server group 14 (location information service server 16-1), it is possible to acquire only behavior data corresponding to the collection condition. That is, one of the requirements included in the behavior data is the position information, which can be acquired by GPS or the like, so that other applications that acquire the position information without installing the store visit management application in the portable electronic device 19 If (for example, a weather forecast application) is used, position information can be acquired and action data can be acquired via the application. Therefore, it is possible to acquire action data even if the store visit management application is not installed and activated as in Patent Document 1, and the customer is burdened to execute a special program by the portable electronic device 19. In addition, data for grasping customer trends required for each store can be aggregated.

  In the present embodiment, the number of visitors to a predetermined store is tabulated using the action data in which the position information and the time information when the position information is acquired are associated with the terminal ID of the portable electronic device 19. The number of visitors to the predetermined store for a predetermined period of time, the number of new customers, the breakdown of repeaters out of the number of visitors, the frequency of store visits for a predetermined week can be totaled. Further, since the behavior data is accumulated with time information, the predetermined period can be arbitrarily changed.

  As described above, the data aggregation server 10 according to the embodiment of the present invention has been described based on a specific example. However, as an embodiment of the present invention, in addition to a method or a program that realizes the above-described operation, a storage in which a program is recorded It is also possible to take an embodiment as a medium (for example, an optical disk, a magneto-optical disk, a CD-ROM, a CD-R, a CD-RW, a magnetic tape, a hard disk, a memory card). The computer mounted on the data totaling server 10 can realize the various processes (functions) described above by installing a program stored in a recording medium and executing the program by the control unit 20 (CPU). .

  Further, the implementation form of the program is not limited to an application program such as an object code compiled by a compiler and a program code executed by an interpreter, but may be a form of a program module incorporated in an operating system. good.

  Furthermore, it is not always necessary for the program to be executed only by the CPU on the control board, and if necessary, all or all of the programs are executed by the CPU or DSP mounted on the extension board or extension unit attached to the board. It can also be set as the structure by which one part is implemented.

  These features are mutually exclusive for all of the components described in this specification (including claims, abstract, and drawings) and / or for all steps of all disclosed methods or processes. Except for the combination, any combination can be used.

  Also, each feature described in this specification (including the claims, abstract, and drawings) is intended to serve the same purpose, an equivalent purpose, or a similar purpose, unless expressly denied. Can be substituted for Thus, unless expressly denied, each feature disclosed is one example only of a generic series of identical or equivalent features.

  Furthermore, the present invention is not limited to any specific configuration of the above-described embodiment. The invention includes all novel features or combinations thereof described in the specification (including claims, abstract, and drawings), or all novel methods or process steps described, or Can be extended to any combination.

  DESCRIPTION OF SYMBOLS 10 ... Data totaling server, 12 ... Store PC, 14 ... Server group, 16-1 ... Location information service server, 19 ... Electronic device.

Claims (9)

The unit period for a customer who stays for a predetermined time or more as a reference time for determining that a customer stayed in the store within a unit period in an arbitrary store or an area including the store. across multiple time each over prior SL customer possessed to a portable electronic device identifying the identification information and the time each of the portable electronic device of the position information and the associated and becomes behavior data a plurality of unit periods accumulation Means to
Based on the accumulated behavior data, it is a counting means for counting the number of visitors to the store in an arbitrary period within the unit period, and refers to the behavior data and matches a time within the arbitrary period Obtaining the identification information associated with the total number of the store visitor by the number of the obtained identification information ,
A tally device comprising: a sending unit that sends a tally result by the tally unit to an external device. The counting means uses the identification information of the behavior data , and uses the number of customers who have visited the store less than a predetermined number of times to the store and the number of customers who have visited the store more than the predetermined number of times. The totaling device according to claim 1, wherein the totaling is performed by distinguishing between the two.   The totaling device according to claim 1, wherein the totaling unit totalizes the number of visitors to the store by day of the week using the behavior data.   The totaling device according to claim 1, wherein the totaling unit totals the weekly store visit frequency of each of the plurality of customers using the behavior data. The tabulation means tabulates the number of visitors per day of the store using the behavior data,
The aggregation device according to claim 1, wherein the transmission unit transmits the change in the number of customers to the external device. The storage means stores other behavior data relating to a store other than the store,
The totaling device according to claim 1, wherein the totaling unit totals the number of visitors to the other store using the other behavior data.   The totaling device according to claim 1, wherein the totaling unit totals the number of visitors to the other store based on the position of the store other than the store using the behavior data. The unit period for a customer who stays for a predetermined time or more as a reference time for determining that a customer stayed in the store within a unit period in an arbitrary store or an area including the store. across multiple time each over prior SL customer possessed to a portable electronic device identifying the identification information and the time each of the portable electronic device of the position information and the associated and becomes behavior data a plurality of unit periods accumulation Means to
Based on the accumulated behavior data, it is a counting means for counting the number of visitors to the store in an arbitrary period within the unit period, and refers to the behavior data and matches a time within the arbitrary period A tally device comprising: tally means for obtaining identification information associated with the number of customers, and tallying the number of store visitors based on the number of the obtained identification information . A plurality over the entire unit period for customers who stay in a given store or an area including the store for a predetermined time or more, which is a reference time for determining that a customer has stayed in the store within the unit period position information and behavior data comprising associating the portable electronic device of the time each identification information for identifying the portable electronic device before Symbol customer possessed at the time each, type repeatedly at a predetermined timing,
With reference to the behavior data that has been repeatedly input , the number of customers who have visited the store in an arbitrary period within the unit period is acquired, and identification information associated with a time that coincides within the arbitrary period is acquired. The total number of visitors is counted according to the number of identification information.
A behavior data totaling method for transmitting the number of store visitors to an external device.

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