CN1264479A - Method and system for compiling demographic data - Google Patents
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- CN1264479A CN1264479A CN98807204.1A CN98807204A CN1264479A CN 1264479 A CN1264479 A CN 1264479A CN 98807204 A CN98807204 A CN 98807204A CN 1264479 A CN1264479 A CN 1264479A
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Abstract
A computer-implemented method and system for compiling demographic data is provided. This comprises maintaining in a computer, having a memory, a database of demographic data about existing and/or prospective customers, and interactions between customers and merchants; updating the database with data about new interactions between customers and merchants; retrieving from the database demographic data about existing and/or prospective customers; and generating a report on demographic data about existing and/or prospective customers.
Description
The present invention relates to a kind of method and system of compiling demographic data.
Businessman generally is in a kind of like this circumstances of difficulty, and client's feature is known seldom, and is perhaps unclear fully.Their advertisement and advertising campaign also only aim at so a kind of premonition at most, promptly attract client existing and expection to buy thing there from them.Businessman does not also know their client's demographic feature, for example geographic position, employment status, family population or the like.They do not know their client also buys product from other which businessman yet, and these businessmans do not know how this locatees to individual other client.
Same problem may also can appear on other interactive forms between businessman and the client, for example, comprises the call center, the inquiry service of seeking help and other are similarly professional.
Usually, only by big businessman, perhaps, perhaps collect this category information by market survey by themselves customer database.
For sell method and system that purpose sets up database in this technology known have following several:
In No. 5636346 United States Patent (USP), introduced a kind of form of system.A kind of method of setting up database or modelling overview for certain advertiser's customer information has been described.This database comprises user's name and address information, and compiles from the closed-circuit system of reality and telephone operator's billing record and come.Allow data processing company or their client to utilize this database and themselves customer database to compare then.From also not producing targeted customer's table among the user the modelling overview of customer database, directly aim at these users then.
Another system is introduced in No. 5305196 United States Patent (USP).Introduced a kind of method of setting up database, this database is used in the marketing procedure of retail shop, and in this program, scanning client's check is to detect account identifier.Then the identifier of this uniqueness and the voip identifiers database of storage that this shop keeps are compared.If necessary, can also upgrade this database with other sign criterion.This retail shop just can obtain an expection client table in presumptive area by the source of routine.Should expect that client's table and existing customer's table compared, and will appear at two clients in table deletion from expection client table simultaneously.Then, show and colour just can send directly to those clients that stay in the expection client table.
In above-mentioned prior art, the client who provides for businessman is more more than the client in can client's table of direct marketing.This is for feature and other information advantageous particularlies of providing for businessman about the client of existing and expection.
An object of the present invention is provides a kind of improved method and system for compiling client's consensus data.
Therefore, on the one hand, the present invention we can say and comprises a kind of computer implemented method that is used for compiling demographic data, this method comprises the steps: maintenance data base in having the computing machine of storer, this database comprise about between existing and/or expection client's consensus data and client and the businessman alternately; Upgrade this database with new mutual relevant data between client and the businessman; The relevant consensus data who has now and/or expect the client of retrieval from this database; And produce the relevant report that has now and/or expect the client consensus data.
On the other hand, the present invention we can say a system that comprises compiling demographic data, this system comprises a computing machine that has storer, and the database of depositing in the storer comprises about existing and/or expection client's consensus data and the reciprocation between client and the businessman; Use about new mutual data between client and the businessman and come the more device of new database; Retrieval is about existing and/or expection client's consensus data's device from database; And generation is about the report preparing apparatus of existing and/or expection client's consensus data's report.
A preferred embodiment of this method and system will be described now in conjunction with the accompanying drawings, in these accompanying drawings:
Fig. 1 provides the block diagram of system of the present invention;
Fig. 2 is given in the block diagram of the system in the business transaction between client and the businessman;
Fig. 3 is illustrated in the block diagram of the system in the communication between client and the businessman;
Fig. 4 provides database scheme of the present invention;
Fig. 5 illustrates a typical data-base recording;
Fig. 6 represents one group of client's characteristic feature;
Fig. 7 represents the typical customer analysis that country is done;
Fig. 8 provides the further feature of one group of typical customers;
Fig. 9 illustrates a regional density map;
Figure 10 provides a typical customer value figure;
Figure 11 represents to share with certain typical businessman its client's businessman;
Figure 12 illustrates that is repeated client's table.
In a preferred form of the invention, as shown in Figure 1, system 2 comprises the computing machine 3 with data processor and storer, moves under the control of application software.Computing machine 2 is got in touch with a stored data base 4 at least.Database 4 may comprise interactive database 6 and client's demographic database 8.Be construed as, interactive database 6 and demographic database 8 can be used as independent database and realize, also can be used as a database and realize.For simplicity, the present invention is described binding data storehouse 4.Client's demographic database 8 can be deposited the data about existing and/or expection client.Should be understood that the quoting of client in instructions and claims, can comprise the client of expection in addition.
The demographic feature that is used for the client of instructions and claims can comprise geographic position, professional speciality, family population, age, sex, marital status, race, education and employment status.In addition, being included in can also have psychological dynamics index or psychograph feature in the demographic characteristic range, and client wherein is a commercial unit, and the consensus data may comprise the employee's number and the industry code of this firm.
Data in the database 4 can be by bank, financial institution, telecommunications or Internet service provider, and perhaps some other third party provides, and for example carries out the entity of certain loyalty program.
As shown in Figure 1, client 12 and businessman's 16 reciprocations.Usually businessman 16 operates in certain marketing station or shop, and the client is then from buying goods or service here.In addition, businessman 16 also can operate from the machine that in a planned way is provided with, for example vending machine, parking meter, washing machine and traffic ticket machine.Businessman 16 can also operate the mail order catalogue service, sell goods or service directly to households, perhaps the network selling of the hierarchy by wholesale dealer and retailer.Businessman 16 can also operate from website or other electronic medias, and it is more and more general that this way is becoming.
As another means, help desk, paging center or other some commerce can also be operated by businessman 16, and wherein the client can pass through phone, fax, Email, network browsing or other forms of communication and businessman's 16 reciprocations.Should be appreciated that the Business Nature of businessman 16 comprises the business activity of broad range.
Should be appreciated that can be started by client 12 alternately between client 12 and the businessman 16 also can be started by businessman 16.When client 12 and businessman's 16 reciprocations, just produce interaction data 18, these data can be stored in the interactive database 6, will be further described below.
The present invention will at first be described in conjunction with Fig. 2, and wherein reciprocation comprises retail transaction.For safety and convenient, client 12 adopts non-cash means of payment becoming more and more general.An example is a credit card, and in this card, shop-assistant or magnetic are read, and perhaps add mark on this card, by dialing modem call treatment center, are checked and approved and confirm holder's signature, so that prevent personation.
In addition, client 12 also can offer the account number of credit card and date obsolete not the businessman 16 in an area.Replace other means of cash to comprise that also check, electronic fund shift (EFT-POS) card, advanced charge card, credit, debit or rate card, and integrated circuit or smart card.
If adopt non-cash method of payment, then need some information of client is sent to businessman 16 from client 12.For example, customer information should comprise the client's finance account's who will be lent details.Businessman 16 delivers to the financial institution 24 of businessman oneself or other financial institution with payment.Be sent to the Transaction Information that also has of financial institution 24 in addition, comprise the date and time of identifier, voip identifiers, number of transaction and this transaction of businessman at least.
Transaction between client 12 and the businessman 16 produces interaction data 18A.Interaction data 18A comprises merchant identifier.This merchant identifier may comprise the account No. of businessman 16, perhaps some other identifier.Should be understood that interaction data 18A can comprise the further information of this businessman, for example geographic position.This information can be provided by businessman 16 or financial institution 24, and can exist together with interaction data 18A, also can exist in the database 4.
Interaction data 18A also comprises voip identifiers.This voip identifiers can comprise other identifier of client 16 account No. or some.In addition, interaction data 18A can also comprise for example geographic position, employment status, family population or the like about this client's consensus data.Can also comprise for example psychological power or psychograph data in addition.If the client is a commercial unit, interaction data 18A may comprise the employee's number and the industry code of this firm.Relevant client's information can be provided by client 12, businessman 16, financial institution 24, and can exist together with interaction data 18A, also can exist in the database 4.
Interaction data 18A can also comprise for example this interactive monetary value, goods identifier and mutual date and time.
As shown in Figure 3, can adopt the form of communication between client 12 and businessman 16 alternately.Help desk, paging center and client 12 and businessman's 16 interactive some other commerce can be operated by businessman 16.If client 12 carries out reciprocation by phone or fax and businessman 16, known to the telco service provider (telco) 20 that client 12 and 16 both sides' of businessman identity just is used to communicate by letter.Voip identifiers and merchant identifier can be produced or are provided at least known to the people 20 of telecommunications service, and can be provided by it.In addition, voip identifiers and merchant identifier also can be provided by businessman 16 or client 12.Merchant identifier and voip identifiers can be respectively businessman 16 and client's 12 phone call/facsimile numbers, perhaps also can be some other identifiers.
As above, can also comprise businessman 16 and client's 12 further information in conjunction with what Fig. 2 discussed.For example, interaction data 18B can comprise the geography information of businessman 16, and client 12 demography, psychological power or psychograph data if client 12 is tame firms, also comprise the details of the number of employees and industry code.
Voip identifiers and merchant identifier can be produced or are at least known to the ISP 20, and can be provided by ISP20.In addition, voip identifiers and merchant identifier also can be provided by businessman 16 or client 12.Merchant identifier and voip identifiers can be respectively businessman 16 and client's 12 IP address, perhaps can be some other identifiers.
As mentioned above, interaction data 18B can comprise businessman 16 and client's 12 further information.
A loyalty program can be operated by businessman 16, and thus, selected client 12 is different from other client.Those clients as this loyalty program member generally produce with I.D..Interaction data 18,18A or 18B may comprise such fact, and promptly client 12 is members of this loyalty program.
The present invention will be described in the environment of retail transaction now.Should be appreciated that scope of the present invention is not limited to retail transaction, but other forms of mutual above comprising in conjunction with what Fig. 1 to Fig. 3 introduced.
When client 12 and businessman 16 were mutual, interaction data was stored as transaction data 30.Provided an example among Fig. 4.
Each transaction can only have a businessman, and can there be a plurality of transaction in each businessman.Therefore the relation of 30 pairs of businessman's data 22 of transaction data is many-ones.Equally, each transaction can only have a client, and the individual client can have a plurality of transaction.Therefore, the relation of 30 pairs of customer datas 26 of transaction data also is a many-one.
In some environment, some other can be given computing machine 3 to transmit some data respectively, and therefore, businessman 16 can obtain its client's 12 further information.
According to client 12 feature, can provide client's segment data for businessman 16.For example, can be provided at client's ratio in certain specific income range, so that help the developing target market strategy for businessman 16.
The shared client's 12 of certain specific businessman 16 and other businessmans details can also be provided.Transaction data 30 comprises merchant identifier and voip identifiers.According to this information, just can determine the client's 12 that certain businessman 16 and the businessman of competition share ratio and feature.Then, its market share just can be known by businessman 16, and knows the customer type of concentrating the marketing activity.The client's 12 that it shares with the businessman in other markets information can also be provided for businessman 16.For example, this allows an instant food retailer assessment to unite the advantage of advertising with a refuelling station, if the client of significant proportion has shared in these businessmans.
In a preferred form of the present invention, computing machine 3 comprises the stored data base of customer address, comprising address, postcode and telephone number.From these information, can be the customer type density map of businessman's 16 generations based on client 12 geographic position, postcode and/or telephone number.The scope of these density maps can be local, the zone, the whole nation or the whole world.
Though be not strict needs, in a further preferred form of the present invention, computing machine 3 is included in a stored data base of the trading volume of transaction between businessman 16 and the client 12, as shown in Figure 4.From these information, can determine that certain businessman can therefrom obtain the client's of maximum return feature, the client of most worthy in other words.
In suitable place, trade detail also can comprise the identification code of product.The quantity and the feature of the product that client 12 is bought determined in this permission.For example, the businessman 16 of not selling certain specific products has interest and knows that certain rival is selling a large amount of this products.If this businessman 16 provides similar products to sell, then clients just may buy this product there from this businessman 16 rather than from its rival.
Product identification code also is of great use to the assessment of using the coupon reaction.Usually, coupon is issued existing client or is dispersed into certain specific geographic area.Coupon is usually to subsequently shopping discount offered or additional complimentary goods or service.Utilize product identification code just can determine the feature that those provide the client of coupon and do not have the client of coupon.
Except above-mentioned information, can also obtain the customizing messages of relevant company or industry.From these information of computing machine 3, just can the feature of the client 12 of certain businessman 16 in a colony and another colony be compared.These information should be of great value for the businessman 16 that will introduce new markets to product, because he need know that in the received degree of other countries how this product.
As mentioned above, transaction data 30 can comprise time data.Can periodically produce form, and also can be identified and report over time in the client storehouse of businessman.Whether this purposes of time data successfully is of great use for the general advertising campaign of assessment, for example the mark-down sale of goods or service.
Can be by for example access to netwoks of Email or encryption of written, oral/vision or electronics, for businessman 16 provides report.In a preferred embodiment of the invention, its desired information about its client storehouse can be selected by businessman 16.
In a preferred form of the invention, from the information that computing machine 3 is kept, produce consensus data 32.Yet, also can utilize other data resource, for example demographic census data, customer database, the demographic information, other client tradings, product description and the merchant database that keep by its other party.
System 2 can be made to satisfy confidentiality and privacy requirement specially, and for example, businessman's form can be ignored individual client's details.In addition, for the confidentiality of commerce, the details of individual businessman also can be left in the basket.
As shown in Figure 5, certain client buys commodity from the Flowers R Us of company that fabricates.Correct record forms in businessman's data 22, customer data 26 and transaction data 30.A client who has uniqueness identifier CUST1, stays in New Zealand Wellington Roseneath is from Flowers R Us, and a businessman with uniqueness identifier MERC1 has bought the fresh flower that is worth 35 New Zealand Dollars.According to many such transaction, just can produce report detailed and that commercial value is arranged for this businessman 16.
Fig. 5 provides the example of a report that can produce for this businessman 16, and the client's of Flower R Us general features is described.For example, these clients may be with qualified and can not be unemployed.Computing machine 3 can obtain of this sort feature from database 4 or other sources, therefore, can determine that the client of Flowers R Us has these features.
As shown in Figure 6, most of clients of Flowers R Us, promptly 87.2%, all stay in New Zealand.This just makes this businessman 16 know where this advertises.The character of this business means that the client of less ratio stays in other countries, though not necessarily like this for the business of other types, and for example in the tourism registration with subscribe in the industry.
Fig. 7 has provided the further example of client characteristics.For simplicity, the client is classified as one of 14 customer types, for example " receives an education " or " single ".Can estimate that from these information of computing machine 3 8.25% New Zealander is " receiving an education " type, 5.51% is " single " type.According to relevant its client's geodata, just can determine that staying in 11.53% of the same area population with businessman 16 is " receiving an education " type, and 7.91% is " single " type.According to transaction data, just can calculate 14.63% Flowers R Us client is " receiving an education " type.In addition, also can estimate Flowers R Us client who " receives an education " and the ratio that stays in " receiving an education " the type client of same area.For example, 14.63% Flowers R Us client belongs to " receiving an education " type, and " receiving an education " type that stays in same area is 11.53%.Ratio is 126.89%.
The present invention allows to produce detailed geographical density map, as shown in Figure 9.In the example that provides, all clients of businessman 16 are identified.Computing machine 3 has the geodata about these clients, and these data can adopt the form of density map to provide.This figure has provided the zone that the client lived of Flowers RUs, and will provide emphasis for regional advertisement.
Figure 10 provides the customer value figure that the present invention produces.As shown in the figure, 17% Flowers RUs customer representative the transaction of this businessman 48%.According to the value of transaction, can also from these information, calculate this 17% client's value.
The client's 12 that it and other businessmans share ratio can be provided for Flowers R Us as shown in figure 11.For example, 35.9% Flowers R Us client also is the client of Peter ' s PetrolLimited simultaneously.Businessman 16 can consider to unite and advertise with Peter ' s Petrol Limited, so that reduce the expense of advertisement, because this big customer basis that these two businessmans share can obtain by this advertisement.Can also provide its client's ratio of sharing with the rival for Flowers R Us.
Figure 12 illustrates a further report, the information that the expression client repeats to buy.In the client of FlowersR Us, 34% client buys goods or service once from this businessman, and 26% buys secondary, or the like.This information also can be got up with information and other information combination of relevant product.
According to this invention, provide a kind of method and system of compiling demographic data.Method therefor allows certain financial institution, third party or businessman compiling demographic data easily, allows businessman to understand their existing client better and attracts the client of expection.
Claims (13)
1. computer implemented method that is used for compiling demographic data may further comprise the steps:
In having the computing machine of storer, safeguard database about interactive information between the client's of existing and/or expection consensus data and client and the businessman;
Upgrade this database with the new mutual data between relevant client and the businessman;
From this database retrieval relevant existing and/client's that expects consensus data; And
Consensus data to the relevant client who has now and/or expect produces a report.
2. further be included in the step in the geographic position of safeguarding existing and/or expection client in the database according to the computer implemented method of claim 1.
3. as the computer implemented method of claim 1 or 2, wherein comprise business transaction alternately between businessman and the client, and interaction data further comprises trading value.
4. according to any one computer implemented method in the claim 1 to 3, wherein interaction data further comprises product/service identifiers sign indicating number.
5. the computer implemented method according to aforementioned arbitrary claim further is included in the step of safeguarding the demographic census data in the database.
6. according to the computer implemented method of aforementioned arbitrary claim, wherein interaction data further comprises time data, and this method comprises that further retrieval time data are so that identification and show the step of the variation among the consensus data.
7. the computing machine of operating according to any one method in the claim 1 to 6.
8. the system of a compiling demographic data, this system comprises:
Computing machine with storer, store data storehouse in the storer comprises the consensus data about existing and/or expection client, and the interaction data between client and the businessman;
Upgrade the device of this database with the new mutual data between relevant client and the businessman;
Be used for from the retrieval of this database relevant existing and/client's that expects consensus data's device; And
Report preparing apparatus generates the report about existing and/or expection client's consensus data.
9. system according to Claim 8, wherein Cun Chu database further comprises geographic position existing and/or the expection client.
10. according to Claim 8 or 9 system, wherein comprise business transaction alternately between businessman and the client, and interaction data further comprises trading value.
11. according to the system of claim 10, wherein interaction data further comprises product/service identifiers sign indicating number.
12. any one system in 11 according to Claim 8, wherein stored data base comprises the demographic census data.
13. any one system in 12 according to Claim 8, wherein interaction data further comprises time data, and report preparing apparatus is used for discerning and showing consensus data's variation.
Applications Claiming Priority (2)
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|---|---|---|---|
| NZ32835597 | 1997-07-16 | ||
| NZ328355 | 1997-07-16 |
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| CN1264479A true CN1264479A (en) | 2000-08-23 |
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| JP (1) | JP2001510917A (en) |
| CN (1) | CN1264479A (en) |
| AU (1) | AU751177B2 (en) |
| CA (1) | CA2293747A1 (en) |
| IL (2) | IL133606A0 (en) |
| WO (1) | WO1999004350A1 (en) |
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| US5794210A (en) * | 1995-12-11 | 1998-08-11 | Cybergold, Inc. | Attention brokerage |
-
1998
- 1998-07-16 WO PCT/NZ1998/000103 patent/WO1999004350A1/en not_active Application Discontinuation
- 1998-07-16 IL IL13360698A patent/IL133606A0/en not_active IP Right Cessation
- 1998-07-16 CN CN98807204.1A patent/CN1264479A/en active Pending
- 1998-07-16 JP JP2000503495A patent/JP2001510917A/en active Pending
- 1998-07-16 AU AU82487/98A patent/AU751177B2/en not_active Expired
- 1998-07-16 EP EP98932657A patent/EP0998712A4/en not_active Withdrawn
- 1998-07-16 CA CA002293747A patent/CA2293747A1/en not_active Abandoned
-
1999
- 1999-12-19 IL IL133606A patent/IL133606A/en unknown
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107807929A (en) * | 2016-09-08 | 2018-03-16 | 北京搜狗科技发展有限公司 | A kind of information processing method, device and equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| WO1999004350A1 (en) | 1999-01-28 |
| IL133606A0 (en) | 2001-04-30 |
| AU751177B2 (en) | 2002-08-08 |
| EP0998712A4 (en) | 2005-04-20 |
| CA2293747A1 (en) | 1999-01-28 |
| AU8248798A (en) | 1999-02-10 |
| EP0998712A1 (en) | 2000-05-10 |
| JP2001510917A (en) | 2001-08-07 |
| IL133606A (en) | 2006-07-05 |
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