Information processing apparatus

Abstract

To effectively utilize results of searches using search keywords entered into a search engine.SOLUTION: An information processing apparatus 10 of the present invention comprises: acquisition means to acquire the number of searches for each search keyword as the number of searches for a predetermined object performed using search keywords entered into a search engine, and sales information, which is information related to sales of the object; and output means to calculate, based on the search keywords for the predetermined object, total numbers of searches for respective types into which the search keywords are classified, and display and output the total numbers of searches for the respective types and the sales information in each predetermined period on the same screen.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] Search services using search engines are provided on the Internet, and users can search for products, services, stores, etc. by inputting search keywords into the search engine. For example, users perform searches by inputting search keywords such as store names, addresses, telephone numbers, product or service names, product features, etc. into the search engine.

[0003] In response to this, businesses that operate stores and provide products and services acquire search results provided by search engines and analyze the search results. For example, Patent Document 1 describes, as an example of the analysis of search results, outputting a graph of the number of direct searches that include a facility name in the search keyword and indirect searches that do not include a facility name. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 6528341 Summary of the Invention [Problem to be solved by the invention]

[0005] However, the method of Patent Document 1 mentioned above only displays the number of searches using the search keyword input by the user, and there is a problem in that it is not possible to make more effective use of the search results.

[0006] Therefore, an object of the present invention is to solve the above-mentioned problem of being unable to make more effective use of search results using search keywords entered into a search engine. [Means for solving the problem]

[0007] An information processing device according to one embodiment of the present invention includes: An acquisition means for acquiring the number of searches for a predetermined object searched for by a search keyword inputted to a search engine, the number of searches for each of the search keywords, and sales information related to the sales of the object; an output means for tallying up the number of searches for each type into which the search keywords are classified based on the search keywords for a predetermined target, and displaying and outputting the number of searches for each type and the sales information for each predetermined period on the same screen; Equipped with The structure is as follows.

[0008] Further, an information processing method according to one aspect of the present invention includes: Acquire the number of searches for a specific target searched for by a search keyword input to a search engine, for each of the search keywords, and sales information related to sales of the target; For a given target, the number of searches is tallied for each type into which the search keywords are classified based on the search keywords, and the number of searches for each type for each given period and the sales information are displayed and output on the same screen. The structure is as follows.

[0009] Further, an information processing method according to one aspect of the present invention includes: Acquire the number of searches for a specific target searched for by a search keyword input to a search engine, for each of the search keywords, and sales information related to sales of the target; aggregating the number of searches for each type into which the search keywords are classified based on the search keywords for the predetermined target, and selecting and outputting policy information representing a policy to be implemented for the target that has been set in advance, according to the number of searches for each type for each predetermined period and the value of the sales information; The structure is as follows.

[0010] In addition, a program according to one aspect of the present invention includes: Acquire the number of searches for a specific target searched for by a search keyword input to a search engine, for each of the search keywords, and sales information related to sales of the target; For a given target, the number of searches is tallied for each type into which the search keywords are classified based on the search keywords, and the number of searches for each type for each given period and the sales information are displayed and output on the same screen. Have a computer carry out the process, The structure is as follows. Effect of the Invention

[0011] By configuring the present invention as described above, it is possible to achieve more effective use of search results using search keywords inputted into a search engine. [Brief description of the drawings]

[0012] [Figure 1] 1 is a diagram showing an overall configuration of an information processing system according to a first embodiment of the present invention. [Diagram 2] 2 is a functional block diagram showing a configuration of the management server disclosed in FIG. 1. [Diagram 3] 3 is a diagram showing an example of a graph displayed by the management server disclosed in FIG. 2; [Figure 4] 3 is a diagram showing an example of a graph displayed by the management server disclosed in FIG. 2; [Diagram 5] 3 is a flowchart showing the operation of the management server disclosed in FIG. 2; DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] <Embodiment 1> A first embodiment of the present invention will be described with reference to Figures 1 to 5. Figures 1 and 2 are diagrams for explaining the configuration of an information processing system, and Figures 3 to 5 are diagrams for explaining the processing operation of the information processing system.

[0014] [composition] The information processing system of the present invention is for analyzing search results based on search keywords input to a search engine. As shown in Fig. 1, the information processing system is composed of a management server 10, a search server 20, and a business operator terminal 30, which are connected via a network N. Each component will be described in detail below.

[0015] The search server 20 is an information processing device managed by a business providing an information search service, and has established a website such as a search site on the Internet. Specifically, the search server 20 is equipped with a search engine, and receives a search request accompanied by input of a search keyword from a user terminal connected to the network N. Then, the search server 20 searches for targets such as stores, products, and services corresponding to the input search keyword using the search engine, and outputs information on the searched targets such as stores, products, and services as search results to the user terminal that made the search request. At this time, the search server 20 calculates a search ranking according to the degree of match with the search keyword and the importance of the target using a preset search algorithm, and outputs link information related to multiple targets in the order of the search ranking as search results.

[0016] In addition, the search server 20 has a function of classifying the type of search for the searched target according to the content of the search keyword, and tallying and storing the number of searches for each type. In particular, when a search keyword that identifies a target is input and the target is searched for, the search server 20 classifies the search as a "direct search" type and counts it as the number of direct searches, and when a search keyword other than the search keyword that identifies the target is input and the target is searched for, the search server 20 classifies the search as a "non-direct search" type and counts it as the number of non-direct searches (indirect searches).

[0017] Here, an example of the direct search and the indirect search described above will be explained. Here, the object of the search is a "store", and as an example, the "AA store". In this case, examples of search keywords that specify the store (hereinafter also referred to as "direct search keywords") include information such as the store name "AA store", the address "XX ward, Tokyo, △△AAAA number", and the telephone number "03-XXXX-AAAA". When the "AA store" is searched for using such a direct search keyword, the search server 20 determines that a "direct search" has been performed on the "AA store", and increases the number of direct searches for the "AA store" by counting them. In addition, the search server 20 associates such searches with time information such as date and time and stores them. On the other hand, examples of search keywords other than the search keywords that specify the store (hereinafter also referred to as "indirect search keywords") include general names of products and services, brand names of businesses that provide products and services, and the like. Examples of indirect search keywords include information such as "stationery" and "sweater", which are general or ordinary names of products sold or handled by the above-mentioned store AA, and information such as "brand name" and "series name" set by the manufacturer of the products. When "AA store" is searched for using such an indirect search keyword, the search server 20 determines that an "indirect search" has been performed on "AA store" and increases the number of searches for the indirect search for "AA store" by counting it. In particular, in this embodiment, the search server 20 further classifies the "indirect search" into an "indirect search" (first indirect search) and a "brand search" (second indirect search) according to the content of the indirect search keyword described above, and counts the number of searches for each. In other words, when "AA store" is searched for using the general name or ordinary name of a product, the search server 20 determines that an "indirect search" has been performed on "AA store" and increases the number of searches for the indirect search for "AA store" by counting it, and when "AA store" is searched for using the brand name of the product, the search server 20 determines that a "brand search" has been performed on "AA store" and increases the number of searches for the brand search for "AA store". In addition, the search server 20 stores time information such as date and time in association with such searches.However, the search server 20 may treat the above-mentioned indirect search and brand search as one type of "non-direct search" (indirect search) and count it as the number of searches.

[0018] Then, in response to a request from the management server 10, which will be described later, the search server 20 provides the number of searches for each type of search performed on targets such as stores. In the above case, when information on "AA store" is requested by the management server 10, the search server 20 provides the number of searches for each of "direct searches," "indirect searches," and "brand searches" for "AA store" to the management server 10. At this time, the search server 20 provides the number of searches by adding time information when each type of search was performed. Alternatively, the search server 20 may tally up the number of searches for each type of search by a predetermined time unit (e.g., daily, weekly, monthly, etc.) for each type of search and provide it to the management server 10.

[0019] The search server 20 may tally and store the total number of searches, the search keywords, and the number of searches for each search keyword for each searched store, and provide this information to the management server 10.

[0020] In the above, the search server 20 counts the number of searches for a store, but the store may be a brick-and-mortar store or a store established on a website. The search server 20 counts the number of searches for a store not limited to a single store, but may count a store group consisting of multiple stores. For example, the store group may be a store group by prefecture or a store group by franchisee among multiple stores operated by the same business operator. The search server 20 counts the number of searches for a product not limited to a store, but may count a product or service. In this case, when a search is performed using a unique product name that identifies a product, the search number of direct searches for the product is counted, when a search is performed using a general or ordinary name of the product, the search number of indirect searches for the product is counted, and when a search is performed using a brand name of the product, the search number of brand searches for the product is counted.

[0021] In addition, the number of search servers 20 is not limited to one, and multiple search servers 20 may each set up search sites, with each search server 20 counting the number of searches of each search type for the target and providing the count to the management server 10.

[0022] The business operator terminal 30 is an information processing terminal operated by a person who analyzes search results for stores, products, and services on a search site at a business operator who operates a store or provides products and services. The business operator terminal 30 accesses the management server 10, and provides information about stores, products, and services to the management server 10 as described below, and obtains and displays search results from the management server 10. It should be noted that, in this example, the business operator operates a store and analyzes search results for the store.

[0023] Specifically, the business operator terminal 30 first collects sales information related to the sales of the store and provides it to the management server 10. For example, the sales information is the sales amount of the store and the customer footfall, which indicates the number of customers (number of users) who visited the store. At this time, the business operator terminal 30 provides the sales amount and the customer footfall to the management server 10 by adding time information to each of them, or collects the sales amount and the customer footfall by a predetermined time unit (for example, by day, by week, by month, etc.) and provides it to the management server 10.

[0024] In the above, the target for which the business operator terminal 30 aggregates sales information is a store, but the store may be a real store or a store opened on a website. In this case, the number of customers may be the number of customers who visited the real store, or the number of customers who accessed the website via the network N. In other words, the number of customers may be the number of users who accessed the target store by actually visiting the target store, or the number of users who accessed the target store's website by browsing the target store's website. In addition, the target for which the business operator terminal 30 aggregates sales information is not limited to each store, but may be each store group consisting of multiple stores. For example, the target may be a store group by prefecture or a store group by franchisee among multiple stores operated by the same business operator. In addition, the target for which the business operator terminal 30 aggregates sales information is not limited to a store, but may be a product or service. In this case, the number of customers may be the number of customers who accessed the target product / service by visiting, calling, or inquiring about the target product / service, or the number of customers who accessed the introduction site for the target product / service via the network N.

[0025] The management server 10 is composed of one or more information processing devices each having a calculation device and a storage device. As shown in FIG. 2, the management server 10 includes an acquisition unit 11, an output unit 12, and an analysis unit 13. The functions of the acquisition unit 11, the output unit 12, and the analysis unit 13 can be realized by the calculation device executing a program for realizing each function stored in the storage device. The management server 10 also includes an acquired information storage unit 16 and a policy information storage unit 17. The acquired information storage unit 16 and the policy information storage unit 17 are each composed of a storage device. Each component will be described in detail below.

[0026] The acquisition unit 11 (acquisition means) accesses the search server 20, acquires information regarding search results for each target registered in advance, and stores the information in the acquired information storage unit 16. In this embodiment, as described above, the acquisition unit 11 acquires the number of searches for each of the "direct search," "indirect search," and "brand search" for a target store (e.g., "AA store") for each predetermined period.

[0027] The acquiring unit 11 may access the search server 20 and acquire the total number of searches, the search keywords, and the number of searches for each search keyword as search results for each target registered in advance.

[0028] The acquisition unit 11 also acquires sales information for each target registered in advance from the business operator terminal 30, and stores the information in the acquired information storage unit 16. In this embodiment, as described above, the acquisition unit 11 acquires the sales amount and the number of customers of the target store (e.g., "AA store") for each predetermined period.

[0029] The output unit 12 (output means) outputs the number of searches and sales information for each target acquired as described above to be displayed on the business operator terminal 30. Here, Figs. 3 and 4 show examples of display by the output unit 12. Fig. 3 shows an example of display on the business operator terminal 30 of a business operator managing an "AA store", and displays each piece of information collected on a daily basis for a certain month of the "AA store". As shown in this figure, the output unit 12 sets a coordinate plane with the horizontal axis representing the date of the month in units of one day and the vertical axis representing sales (yen), number of searches (persons), and number of customers (persons), and displays the sales A1 and number of customers A2 for each day as a bar graph on the coordinate plane, and displays the number of searches B2 for direct searches, the number of searches B3 for indirect searches, the number of searches B4 for brand searches, and the total number of searches B1 for direct searches, indirect searches, and brand searches as a line graph. In this way, the output unit 12 displays the search counts B2 to B4 for each search type, the total search count B1, the sales amount A1, and the customer footfall A2 on the same screen.

[0030] In addition, FIG. 3 shows a case where the target is a store, and as an example, the number of searches and sales information of one store such as "AA store" are displayed, but if the target is a store group consisting of multiple stores, the number of searches and sales information of a specific store group (for example, a store group in Tokyo, a store group of a specific franchisee) will be displayed. In this case, the output unit 12 may aggregate the number of searches and sales information for each of the multiple stores that make up the store group into the number of searches and sales information for the store group and display it. Also, if the target is a product or service, the number of searches and sales information for each product or service will be displayed.

[0031] The output unit 12 may change the unit of counting the number of searches, sales, and number of visitors based on time information added to the information acquired from the search server 20 or the business operator terminal 30. For example, in the example of Fig. 3, the number of searches, sales, and number of visitors are displayed on a daily basis, but each value may be recounted and displayed on other time units such as weekly or monthly.

[0032] The output unit 12 may also change the display state of the information shown in Fig. 3. For example, the output unit 12 may display, as the number of searches, the number of direct searches B2, the number of indirect searches B3, and the number of brand searches B4, which is the sum of the number of searches, and may display the total number of searches B1 in addition to the number of direct searches B2, or may not display the total number of searches. The output unit 12 may also display only the sales amount A1, or only the number of customers A2, as the sales information.

[0033] The output unit 12 may also calculate and aggregate various numbers of searches from the acquired search results, for example, the number of searches by search keyword for each target as described above, and output the aggregated numbers of searches to display them as described above. For example, the output unit 12 may classify the types of searches for the searched target according to the search keyword from the acquired aggregation results for each target, and aggregate the number of searches for each type. That is, the output unit 12 may have a function of classifying the types of searches performed by the search server 20 described above. As a result, the output unit 12 may aggregate the number of searches for each type, such as "direct search", "indirect search", and "brand search", from the acquired search results, for example, the number of searches by search word for each target.

[0034] As another example of the aggregation by the output unit 12, the number of searches by a search keyword having a preset content may be aggregated. For example, the number of searches may simply be aggregated for each search keyword determined to be the same, or the number of searches may be aggregated for each search keyword having a content specified by the business operator. Furthermore, the output unit 12 may aggregate the number of searches in a foreign language. In this case, the number of searches in a foreign language may be aggregated by the number of searches by a search keyword in a language specified by the business operator, or the number of searches for each content of the search keyword in the set language. Then, the output unit 12 may aggregate the number of searches for each search keyword or the number of searches for each language for each period, and display each number of searches for each period. In addition, the output unit 12 may display the sales amount or number of customers of the target store, etc., together with the number of searches, as described above.

[0035] The output unit 12 may also aggregate the number of searches, sales amount, and number of customers for a period for a plurality of stores that belong to the same group by grouping the stores according to the store attributes in advance, and display the number of searches, sales amount, and number of customers for each period as described above. In this case, store attributes include the location (prefecture, etc.), the location of the store (roadside, downtown, tourist spot, suburban, commercial facility, etc.), the presence or absence of parking, the store person in charge of the store on the business side, the store franchisee, the store brand, etc., and these attribute information are registered in advance for each store. For example, when an attribute is specified by the business, the output unit 12 extracts a store group consisting of a plurality of stores to which the specified attribute is assigned, and aggregates the number of searches, sales amount, and number of customers for each type for a plurality of stores that belong to the store group as described above for each period. Then, the output unit 12 displays the aggregated number of searches, sales amount, and number of customers for each period for the store group consisting of the plurality of stores.

[0036] The output unit 12 may display only the number of searches for each period tallied as described above. In other words, the output unit 12 may display only the number of searches for each specified search keyword, the number of searches for each language, or the number of searches for a specified attribute, without necessarily displaying the sales amount or the number of customers.

[0037] The analysis unit 13 (analysis means) selects and outputs policy information representing a policy to be implemented for the target based on the values ​​of the search volume and sales information displayed as described above. At this time, the analysis unit 13 selects policy information corresponding to the values ​​of the search volume and sales information displayed from among the policy information previously stored in the policy information storage unit 17. For this reason, the policy information storage unit 17 stores policy information for increasing sales of the target in accordance with a pattern that can be identified from the values ​​of the search volume and sales information for each predetermined period.

[0038] Here, an example of the policy information when the target is a store as described above will be described. For example, as shown in FIG. 3, if it is determined that the number of searches B2 of direct searches for the AA store is greater than the number of searches B3 of indirect searches by a predetermined standard, and if it is determined that the sales amount A1 and the number of customers A2 are greater than the predetermined standard, it is considered that there are many regular users (royal customers) who search by specifying the AA store. For this reason, as policy information corresponding to such a pattern, information such as "strengthen the delivery of notifications to direct mail and smartphone apps to users who are registered as members of the AA store" is set, and such policy information is selected. As another example, consider the display of the number of searches and sales information for the BB store shown in FIG. 4. As shown in FIG. 4, if it is determined that there is a period (for example, 6 / 7 to 6 / 11) in which the number of searches B3 of indirect searches for the BB store is greater than the number of searches B2 of direct searches by a predetermined standard, and if it is determined that the sales amount A1 and the number of customers A2 are greater than the predetermined standard even during that period, it is considered that there are few regular users (royal customers) who search by specifying the BB store, and there are many users who simply want a certain product. For this reason, policy information corresponding to this pattern is set to the effect that "measures will be taken to increase awareness, such as distributing flyers and placing web advertisements, so as not to lose out to nearby competing stores in attracting customers," and such policy information will be selected.

[0039] The selection of policy information by the analysis unit 13 may be performed using a model that has been trained on a graph of search volume and sales information for a predetermined target, and policy information to be implemented for the predetermined target corresponding to the characteristics of the graph. In this case, the model is generated in advance by learning learning data configured as pairs of graphs and policy information, and is stored in the policy information storage unit 17. Then, the analysis unit 13 inputs a graph of search volume and sales information for a new predetermined target to the model, whereby policy information appropriate for the situation of the target is output, and the policy information is selected.

[0040] [Operation] Next, the operation of the above-mentioned information processing system, particularly the operation of the management server 10, will be described mainly with reference to the flowchart of FIG.

[0041] First, the management server 10 obtains from the search server 20 the number of searches for each search type for each target (step S1). For example, if the target is an "AA store", the search server 20 obtains the number of searches for each of "direct search", "indirect search", and "brand search" classified according to the content of the search keyword used to search for "AA store". The management server 10 may obtain each of the above-mentioned number of searches by tallying up search results such as the number of searches for each search keyword obtained from the search server 20. The number of searches obtained by tallying up at this time is not limited to the number of searches for each type as described above, and may be any type of search number, such as the number of searches for a search keyword with a specific content or the number of searches for a search keyword in a specific language.

[0042] The management server 10 also acquires sales information for each target from the business operator terminal 30 (step S2). For example, if the target is an "AA store," the management server 10 acquires the sales amount and customer footfall of the AA store input to the business operator terminal 30 by the business operator managing the AA store. Note that the acquisition of the number of searches and the acquisition of the sales amount and customer footfall may be performed in any order, or may be performed simultaneously.

[0043] Thereafter, the management server 10 outputs the acquired search volume and sales information for each target to be displayed on the business operator terminal 30 (step S3). For example, when the target is an "AA store", the number of searches, sales amount, and customer footfall tallied for a given period are displayed as shown in FIG. 3. Specifically, in FIG. 3, sales A1 and customer footfall A2 are displayed as bar graphs on a daily basis, and the number of direct searches B2, the number of indirect searches B3, the number of brand searches B4, and the total number of direct searches, indirect searches, and brand searches B1 are displayed as line graphs. When the target is a "BB store", the display is as shown in FIG. 4.

[0044] In this manner, in this embodiment, the number of searches B2 to B4 for each search type, the total number of searches B1, the sales amount A1, and the number of customers A2 are displayed on the same screen. This allows business operators to compare the number of searches for each search type for targets such as stores, and to recognize the sales amount and number of customers for such number of searches, and to consider new measures to increase sales for targets. In particular, by displaying the number of searches for direct searches, indirect searches, and brand searches so that they can be compared, and further displaying the sales amount and number of customers, the sales situation taking into account the recognition level of the target by the user who is searching can be recognized, and more appropriate measures can be considered. As a result, the search results can be used more effectively.

[0045] Furthermore, the management server 10 selects and outputs policy information representing a policy to be implemented for the target based on the acquired values ​​of the number of searches and sales information for the target (step S4). For example, if the target is an "AA store", policy information corresponding to the pattern of the graph as shown in FIG. 3 is selected and the policy information is output. As another example, if the target is a "BB store", policy information corresponding to the pattern of the graph as shown in FIG. 4 is selected and the policy information is output. The selection and output of the policy information described above may be performed after outputting the graphs as shown in FIGS. 3 and 4, or may be performed before outputting the graphs, and the graphs may or may not be output thereafter. That is, in the flowchart of FIG. 5, step S4 may be performed after steps S1 and S2, and step S3 may or may not be performed thereafter.

[0046] Although the present invention has been described above with reference to the above-mentioned embodiment, the present invention is not limited to the above-mentioned embodiment. Various modifications that can be understood by a person skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. In addition, at least one or more functions of the above-mentioned acquisition unit 11, output unit 12, analysis unit 13, acquired information storage unit 16, and policy information storage unit 17 may be executed by an information processing device installed and connected anywhere on a network, that is, they may be executed by so-called cloud computing.

[0047] The above-mentioned program can be stored and supplied to a computer using various types of non-transitory computer readable media. The non-transitory computer readable medium includes various types of tangible storage media. Examples of the non-transitory computer readable medium include magnetic recording media (e.g., flexible disks, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical disks), CD-ROM (Read Only Memory), CD-R, CD-R / W, and semiconductor memory (e.g., mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory)). The program may also be supplied to a computer by various types of transitory computer readable media. Examples of the transitory computer readable medium include electric signals, optical signals, and electromagnetic waves. The transitory computer readable medium can supply the program to a computer via a wired communication path such as an electric wire and an optical fiber, or via a wireless communication path.

[0048] <Additional Notes> A part or all of the above-described embodiments can be described as follows: The following describes an overview of the configuration of an information processing device, an information processing method, and a program according to the present invention. However, the present invention is not limited to the following configuration. (Appendix 1) An acquisition means for acquiring the number of searches for a predetermined object searched for by a search keyword inputted to a search engine, the number of searches for each of the search keywords, and sales information related to the sales of the object; an output means for tallying up the number of searches for each type into which the search keywords are classified based on the search keywords for a predetermined target, and displaying and outputting the number of searches for each type and the sales information for each predetermined period on the same screen; An information processing device comprising: (Appendix 2) 2. The information processing device according to claim 1, The output means counts the number of searches of the type classified by the search keyword having the set content for the predetermined target. Information processing device. (Appendix 3) 2. The information processing device according to claim 1, The output means counts the number of searches of the type classified by the search keyword in the set language for the predetermined target. Information processing device. (Appendix 4) 2. The information processing device according to claim 1, The output means aggregates the number of searches and the sales information for each of the types for a plurality of the targets, and displays and outputs the number of searches and the sales information for each of the types for each predetermined period on the same screen. Information processing device. (Appendix 5) 2. The information processing device according to claim 1, the output means aggregates the number of searches and the sales information for each of the types of targets that belong to the same group by grouping the targets according to attributes set for the targets, and displays and outputs the number of searches and the sales information for each of the types for each predetermined period on the same screen; Information processing device. (Appendix 6) 2. The information processing device according to claim 1, The acquisition means acquires, as the sales information, a sales amount of the target and a number of customers who visited the target, The output means displays and outputs, on the same screen, the number of searches for each type, the amount of sales, and the number of customers for each predetermined period. Information processing device. (Appendix 7) 2. The information processing device according to claim 1, an analysis means for selecting and outputting policy information representing a policy to be implemented for the target set in advance, according to the value of the number of searches for each type in each predetermined period and the value of the sales information; An information processing device comprising: (Appendix 8) Acquire the number of searches for a specific target searched for by a search keyword input to a search engine, for each of the search keywords, and sales information related to sales of the target; For a given target, the number of searches is tallied for each type into which the search keywords are classified based on the search keywords, and the number of searches for each type for each given period and the sales information are displayed and output on the same screen. Information processing methods. (Appendix 9) Acquire the number of searches for a specific target searched for by a search keyword input to a search engine, for each of the search keywords, and sales information related to sales of the target; aggregating the number of searches for each type into which the search keywords are classified based on the search keywords for the predetermined target, and selecting and outputting policy information representing a policy to be implemented for the target that has been set in advance, according to the number of searches for each type for each predetermined period and the value of the sales information; Information processing methods. (Appendix 10) Acquire the number of searches for a specific target searched for by a search keyword input to a search engine, for each of the search keywords, and sales information related to sales of the target; For a given target, the number of searches is tallied for each type into which the search keywords are classified based on the search keywords, and the number of searches for each type for each given period and the sales information are displayed and output on the same screen. A program that causes a computer to execute a process. [Explanation of symbols]

[0049] 10 Management Server 11 Acquisition Department 12 Output section 13 Analysis Department 16 Acquired information storage unit 17 Policy information storage unit 20 Search Server 30 Operator terminal

Claims

1. an acquisition means for acquiring the number of searches for each search keyword as the number of searches for a predetermined object searched for using the search keyword input to the search engine; an output means for tallying up the number of searches for each type into which the search keywords are classified based on the search keywords for the predetermined target, and outputting the number of searches for each type for each predetermined period; An information processing device comprising:

2. An information processing device according to claim 1, The output means, based on the search keywords, tally up, as the number of searches for each type, the number of direct searches in which the target is searched for using a search keyword that identifies the target, and the number of indirect searches in which the target is searched for using a search keyword other than the search keyword that identifies the target, and displays and outputs the number of direct searches and the number of indirect searches for each predetermined period on the same screen. Information processing device.

3. An information processing device according to claim 2, The output means displays and outputs, on the same screen, the number of searches by the direct search, the number of searches by the indirect search, and the total number of searches, which is the sum of the number of searches by the direct search and the number of searches by the indirect search, for each predetermined period. Information processing device.

4. An information processing device according to claim 2, The output means counts, as the number of searches by the indirect search, the number of searches by a first indirect search in which the target is searched using a search keyword representing a predetermined generic name, and the number of searches by a second indirect search in which the target is searched using a predetermined brand name, and displays and outputs, on the same screen, the number of searches by the direct search, the number of searches by the first indirect search, and the number of searches by the second indirect search for each predetermined period. Information processing device.

5. An information processing device according to claim 1, the output means, based on the search keyword, tallying the number of searches for each language of the search keyword for each predetermined period as the number of searches for each type, and outputting the number of searches for each language for each predetermined period; Information processing device.

6. An information processing device according to claim 1, The output means, based on the search keywords, tally the number of searches for each content of the search keywords in the set language for each predetermined period as the number of searches for each type, and output the number of searches for each predetermined period. Information processing device.

7. An information processing device, Acquire the number of searches for each search keyword as the number of searches for a predetermined object searched for using the search keyword input into the search engine; For the predetermined target, the number of searches for each type into which the search keywords are classified based on the search keywords is tallied, and the number of searches for each type for each predetermined period is output. Information processing methods.

8. An information processing device, Acquire the number of searches for each search keyword as the number of searches for a predetermined object searched for using the search keyword input into the search engine; For the predetermined target, the number of searches for each type into which the search keywords are classified based on the search keywords is tallied, and the number of searches for each type for each predetermined period is output. A program that executes a process.

Images