Background technology
In day by day open society and market environment, consumer's behavior is constantly changing, enough buy behavior rationalization more, enterprise is as the theme of market economy, and the consumer is the God of enterprise, enterprise will prevail over competition, earn a profit, just must study consumer behaviour, understand consumer demand, grasp consumer's consumption rule, to produce the product that meets consumer's needs.
Consumer behavior research is a research the most common in market study, that the most often implement.Refer to that to the consumer be quantitative examination and the qualitative examination of obtaining, use, process the various action that goods for consumption adopts and the decision process that determines in advance these action.How the research obtains product and service except understanding the consumer, how can also understand the consumer and be consumer products, and how product is disposed after being finished or consuming.Therefore, it is the basis of marketing decision-making, inseparable with the marketing activity of enterprise market, and to consumer behavior research, for improving the marketing decision-making level, there is very significance the validity aspect that strengthens marketing strategy.
At present, enterprise is how by questionnaire, interview, informal discussion, discussion, observation, investigation form and the means such as realistic, target consumer's (comprising individuality and tissue) is studied, excavate consumer's potential demand, help enterprise to carry out product orientation and location, target market, reduce the error of enterprise on product selection and Market Selection.Fully investigating on basis, further assessing the attractive force of potential market, assessing the competitive power of enterprise in this market, and formulate corresponding marketing strategy.Complete this work and there is shortcomings, first aspect, these are manually completed, time-consuming effort again, and also efficiency is very low.Second aspect, adopt the method can not accurately understand target consumer's consumption habit (consumption area and content of consumption thereof), can not formulate the Marketing Countermeasures of high-quality.The third aspect, be difficult for obtaining consumer's relevant information, such as contact method, thereby can not carry out accurate advertising campaign.
Development along with computer application field, a lot of enterprises and supermarket all have been equipped with the consumer behaviour statistical analysis software, but the most contents of consumption that can only obtain the consumer, and can not know which type of content a certain consumer has consumed in a certain zone, and consumer's contact method still can only depend on the carrier with paper data transmission, some consumer contact method of also being unwilling to provide simultaneously.This just makes enterprise produce trouble aspect statistics, causes making the Marketing Countermeasures of high-quality.
Embodiment
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Fig. 1 is the sending method process flow diagram according to embodiment of the present invention information.
In step 101, server obtains consumer data, and described data comprise to be returned existing consumer's identification code and cash code.Wherein, the described commodity of code corresponding to certain point-of-sale terminal place sale of cashing.In embodiments of the present invention, return the cell phone number that existing consumer's identification code is the consumer.
Configure the point-of-sale terminal database in server and cash the code data storehouse, described point-of-sale terminal database is stored businessman's title and corresponding geographical location information thereof under one or more point-of-sale terminals, described cash the code data storehouse for store one or more commodity corresponding cash code.In embodiments of the present invention, point-of-sale terminal is wireless pos machine.
When a certain consumer has consumed a certain commodity in a certain businessman, this businessman sends to server the code request of cashing that these commodity are corresponding by point-of-sale terminal.The server response request, corresponding with this trade name code of cashing in the code data storehouse is cashed in inquiry, and it is sent in to point-of-sale terminal, by point-of-sale terminal, prints and provides to the consumer.Due to every point-of-sale terminal all corresponding under businessman's title and corresponding geographical location information thereof, so now point-of-sale terminal prints cashes code and had both comprised merchandise news and also comprised this point-of-sale terminal information.Then the consumer cashes code and identification code sends redemption request to server according to described, and the server response request, obtain consumer's identification code and cash code.
In embodiments of the present invention, each is cashed 10 characters of code in 9 numerals and 26 letters and forms by randomly drawing, as 1EDRSK5RO7.Form after this cashes code, a certain commodity (Coca-Cola) that businessman can sell oneself are cashed the code binding with this 1EDRSK5RO7, and it is kept at and cashes in the code data storehouse.When a certain consumer has consumed Coca-Cola in this businessman, businessman is corresponding to Coca-Cola of server request and consumer spending by the http agreement at point-of-sale terminal cashes code, the server response request, and will cash a yard 1EDRSK5RO7 and send to point-of-sale terminal.This consumer signs in to server when being exchanged according to cashing yard 1EDRSK5RO7 and phone number thereof, and the server response request obtains consumer's phone number and cashes code.
In step 102, the consumer sends redemption request according to cashing code and cell phone number to server, the server response request, record the described existing consumer's phone number that returns simultaneously, definite this cashed the information that code comprises again, as cash yard the first five of 1EDRSK5RO7 character and represent merchandise news, rear five characters represent that point-of-sale terminal information is the consumer spending geographical location information, just server can obtain this consumption area of returning existing consumer and content of consumption thereof.How should be appreciated that main points of the present invention do not lie in carries out group and sequence to 10 characters, and cashing 10 characters of code can the combination in any sequence represent merchandise news and consumer spending geographical location information.
In step 103, consumer's identification code of obtaining according to step 102 and consumer spending geographic position and merchandise news, statistics consumer's consumer behavior information.Wherein, consumer behavior information comprises consumer's consumption area and content of consumption thereof.
In step 104, the consumer spending behavioural information counted according to step 103, send target information by consumer's identification code to the consumer.In embodiments of the present invention, target information is made for the consumer behavior information according to counting article and favor information thereof.
Fig. 2 is the server architecture schematic diagram according to the embodiment of the present invention.
As shown in Figure 2, the server of the embodiment of the present invention comprises data acquisition module, determination module, data statistics module, information sending module, Business Information database, cashes the code data storehouse, wherein, data statistics module comprises that regional consumer returns existing Information Statistics module, the consumer returns existing Information Statistics module, day returns occurrence and count statistical module.
Data acquisition module returns existing consumer data for obtaining, as returns existing consumer's cell phone number and cash code, obtains data and is sent in determination module.
Determination module is used for according to above-mentioned code definite consumer spending geographic position and the merchandise news of cashing.And it is determined to result send in data statistics module.
Data statistics module, for consumer's identification code and above-mentioned consumer spending geographic position and merchandise news according to obtaining, is added up the described consumer behavior information of returning existing consumer.It comprises that regional consumer returns existing Information Statistics module, the consumer returns existing Information Statistics module, day returns occurrence and count statistical module.
The zone consumer returns existing Information Statistics module and returns for adding up all commodity in a certain province/city the ratio that the occurrence number accounts for total degree, add up a certain province/city of different commodity and return the ratio that the occurrence number accounts for total degree, add up the existing information of returning of a certain province/city, containing accumulative total, return the occurrence number, interior day of time interval return occurrence and count information.
As shown in Figure 3, figure is that all commodity in a certain province return the scale map that the occurrence number accounts for total degree, as can be seen from Fig., it is 70.59% that all commodity consumption persons in Jiangsu Province accumulative total is returned the ratio that the occurrence number accounts for total degree, it is 26.47% that all commodity consumption persons in Beijing accumulative total is returned the ratio that the occurrence number accounts for total degree, and the ratio that other province accounts for total degree is 2.14%.
As shown in Figure 4, the a certain commodity that figure is a certain province return the scale map that the occurrence number accounts for total degree, as can be seen from Fig., it is 60% that a certain commodity consumer of Jiangsu Province returns the ratio that the occurrence number accounts for total degree, and it is 40% that this commodity Beijing consumer returns the ratio that the occurrence number accounts for total degree.
As shown in Fig. 5-1,5-2,5-3, be the curve synoptic diagram according to Fig. 3 conversion, the existing information of returning of adding up all commodity in a certain province/city, return the occurrence number, interior day of time interval return occurrence and count information containing accumulative total.Existing information curve synoptic diagram is returned for all commodity in the Jiangsu Province according to Fig. 3 conversion in Fig. 5-1, and all commodity accumulative totals that can find out Jiangsu Province from Fig. 5-1 are returned day returning occurrence and count information in occurrence number, time interval; Existing information curve synoptic diagram is returned according to all commodity in Pekinese of Fig. 3 conversion in Fig. 5-2, can find out that from Fig. 5-2 accumulative total of all commodity in Beijing returns day returning occurrence and count information in occurrence number, time interval; Existing information curve synoptic diagram is returned according to all commodity in other province of Fig. 3 conversion in Fig. 5-3, can find out that from Fig. 5-3 accumulative total of other all commodity in province returns day returning occurrence and count information in occurrence number, time interval.
As shown in Fig. 6-1,6-2, for the curve synoptic diagram according to Fig. 4 conversion, existing information curve synoptic diagram is returned for a certain commodity in Jiangsu Province according to Fig. 4 conversion in Fig. 6-1, can find out that from Fig. 6-1 accumulative total of these commodity of Jiangsu Province returns day returning occurrence and count information in occurrence number, time interval; The existing information curve synoptic diagram that returns that Fig. 6-2 are a certain commodity in Beijing according to Fig. 4 conversion, can find out that from Fig. 6-2 accumulative total of these commodity of Beijing returns day returning occurrence and count information in occurrence number, time interval.
The consumer returns existing Information Statistics module and returns the occurrence number for the accumulative total of adding up a certain consumer, adds up a certain consumer's of different commodity accumulative total and returns the occurrence number.As shown in Figure 7, figure adds up to return existing analysis chart a certain consumer's day, as can be seen from Fig., the consumer returned existing 9 times November 17 in 2012, November 17 in 2012, returned existing 9 times, Dec 19 in 2012, returned now once, returned at 2013 01 month 14 and show twice, returned at 2012 01 month 26 now once.As shown in Figure 8, a certain commodity accumulative total that figure is a certain consumer is returned occurrence and is counted analysis chart, and as can be seen from Fig., this consumer returned at 2013 01 month 13 existing twice.
Return occurrence day and count statistical module and day return the occurrence number for adding up in all commodity time intervals, the day of adding up in different commodity time intervals is returned the occurrence number.As shown in Figure 9, figure returns occurrence to count analysis chart the day in all commodity time intervals, as can be seen from Fig., the consumer returned existing twice October 12 in 2012, October 14 in 2012, return now once, October 29 in 2012, return now once, November 16 in 2012, return existing 14 times, Dec 19 in 2012, return now once, Dec 24 in 2012, return now once, Dec 26 in 2012, return now once, at 2013 01 month 04, return now once, at 2013 01 month 14, return existing twice, at 2013 01 month 23, return existing 6 times, at 2013 01 month 26, return existing 3 times, at 2013 01 month 29, return now once.As shown in figure 10, figure returns occurrence to count analysis chart the day in a certain commodity time interval, as can be seen from Fig., the consumer returned existing twice October 13 in 2012, return now once October 29 in 2012, return now once Dec 24 in 2012, return now once Dec 26 in 2012.
Information sending module, for the consumer's that counts according to above-mentioned data statistics module consumer behavior information, sends article and the favor information thereof of making according to the consumer behaviour information counted to the consumer by consumer's cell phone number.
Above-described embodiment; purpose of the present invention, technical scheme and beneficial effect are further described; institute is understood that; the foregoing is only the specific embodiment of the present invention; the protection domain be not intended to limit the present invention; within the spirit and principles in the present invention all, any modification of making, be equal to replacement, improvement etc., within all should being included in protection scope of the present invention.