A kind of customer analysis system for electric business platformTechnical field
The invention belongs to analysis system field, it is related to a kind of customer analysis technology, it is specifically a kind of for electric business platformCustomer analysis system.
Background technique
Customer analysis is exactly that client's needs are understood according to the various information about client and data, analyzes client characteristics,Customer value is assessed, to work out corresponding marketing strategy and resource allocation program for client, understanding consumer is to form marketThe basis of marketing strategy, by customer analysis, enterprise can use the information being collected into, and track and analyze the letter of each clientBreath, does not just know which type of client has which type of demand, while can also observe and analyze customer action to enterprise incomeIt influences, optimizes the relationship of enterprise and client and enterprise profit, customer analysis is exactly to use enterprise or be used to analyze with peopleA kind of system of customer information.
And it is currently become more and more important with the development of science and technology with social progress, client, existing customer analysis systemSystem, analysis customer information is not accurate enough, while not classifying to client after analyzing, so that the enough result errors of analysis are larger,And the information analyzed is more single；In order to solve drawbacks described above, a solution is now provided.
Summary of the invention
The purpose of the present invention is to provide a kind of customer analysis systems for electric business platform.
The technical issues of all solutions of the present invention are as follows:
(1) how to realize and preferably client's viscosity is analyzed；
(2) how preferably to be graded to client to provide for high-grade client and more preferably service；
(3) the client crowd of the acquisition for how allowing user more convenient oneself；
The purpose of the present invention can be achieved through the following technical solutions:
A kind of customer analysis system for electric business platform, including information storage cloud, master controller, registration and login mouldBlock, big data acquisition module, customer information classifying module, customer information processing module, customer information collection module, information summarizeModule, customer analysis module, information summarizing module, internal rating module, ratings feedback module and intelligent display terminal；
Wherein, the customer analysis module buys analysis module, client's complaint analysis module, client's consulting analysis by clientModule and client's viscosity analysis module form；
The big data acquisition module and main controller module communicate to connect, and the customer information collection module and information are stored upCloud communication connection is deposited, the customer information processing module and customer information collection module communicate to connect, and the customer information is returnedGeneric module and customer information processing module communicate to connect, and the customer analysis module and customer information classifying module communicate to connect,The internal rating module and customer analysis module communicate to connect, the ratings feedback module and internal rating module communication linkIt connects, the recommending module and internal rating module communicate to connect；
The big data acquisition module takes out for that will be stored in information storage cloud information, and the customer information is receivedCollection module is used to collect out customer information from big data acquisition module, and the customer information processing module is for handling customer informationThe information that collection module is collected, the information that the customer information classifying module is used to handle customer information processing module well carry outSort out, detailed process is as follows for specific classification:
Step 1: it only browsed the client that product is not inquired and is classified as not analyzing client；
The client that step 2: browsing product and is inquired is classified as client to be analyzed；
Step 3: repeatedly browsing product and the client repeatedly inquired is classified as client to be analyzed；
Step 4: buying product and buys and the client inquired is classified as needing to analyze client；
Step 5: buying product and the client evaluated is classified as needing to analyze client；
Step 6；Repeatedly purchase product and the multiple client for buying product and grading are by essential analysis client；
The customer analysis module is used to analyze the good information of customer information classifying module classification；Client's purchase pointAnalysis module is used to extract the purchase number of client in the information of customer information classifying module classification, client's complaint analysis moduleCustomer evaluation number in information for extracting the classification of customer information classifying module, client's consultation module is for extractingClient seeks advice from number in the information that customer information classifying module is sorted out；
For summarizing the information that customer analysis module is extracted, the internal rating module is used for the information summarizing moduleIt grades to information summarizing module summary information is stated, specific ranking process is as follows:
Step 1: client, which buys analysis module, to extract single client from needing to analyze in client and essential analysis clientPurchase number, repeatedly purchase be bonus point item, purchase number it is more scoring it is higher, which is marked as Q；
Step 2: client's complaint analysis module can extract the evaluation number for buying commodity client, and evaluation number isBonus point item, evaluation number it is more scoring it is higher, which is marked as P, for the client P repeatedly evaluated concrete composition such asUnder:
S1: the evaluation time of client can be also got when obtaining evaluation information of the client to commodity；
S2: when the evaluation time of client is before presetting, goals for P1；
S3: when the evaluation time of client is between default, goals for P2；
S4: when the evaluation time of client is between default, score be P3；
S5: wherein P1 > P2 > P3, P1+P2+P3=P；
Step 3: client's consulting analysis module can extract the consulting number for buying commodity client, and consulting number existsIt is bonus point item when in preset value, which is marked as C；
Step 4: client's viscosity analysis module, which can extract, bought commodity client to the sticky degree of purchase businessman, gluedProperty degree be bonus point item, which is marked as Y, and specific viscosity degree determination method is as follows；
S1: when client repeatedly buys the same commodity of same businessman, it can determine that for the client be high viscosity client, by thisSticky degree in the case of kind is expressed as Z；
S2: when client is to the commodity of purchase multiple favorable comment, can determine that this has client is high viscosity client, in the case of this kindSticky degree be expressed as X；
S3: when client repeatedly buys the different types of product of the businessman businessman, can determine that this has client is high viscosity visitorSticky degree in the case of this kind is expressed as B by family；
S4: client's viscosity analysis module can extract the time of customer evaluation and click the time that confirmation is received, and client is commentedThe time of valence is labeled as p1, and client is clicked and confirms that the time received labeled as p2, can must be evaluated by formula p1-p2=pThe time difference p of time and confirmation goods receiving time, time difference p are bonus point item, and the smaller bonus point of p value is more, and bonus point item is labeled as E；
S5: for prominent repeatedly purchase and the importance evaluated in time, mono- correction value L1 of Z is now assigned, assigns X mono-Correction value L2 assigns mono- correction value L3 of B, assigns mono- correction value L4, L1 < L2 < L4 < L3 of E, and L1+L2+L3+L4=1；
S6: by formula Z*L1+X*L2+B*L3+E*L4=M, it can analyze out client's viscosity degree M；
Step 5: in order to go out the prominent importance repeatedly bought again, mono- correction value T1 of Q is now assigned, now P mono- is assigned and repairsPositive value T2, C mono- correction value T3, Y, mono- correction value T4, wherein T4=T1 > T2 > T3, TI+T2+T3+T4=1；
S7: pass through the available grading F to client of formula Q*TI+P*T2+C*T3+Y*T4=F；
S8: will score the arrangement of F from big to small according to numerical value progress, be five-pointed star client more than preset value a, defaultIt is four star users between value a-b, below in preset value b is Samsung user；
The ratings feedback module can receive the good rating information of internal rating resume module, and the ratings feedbackIt can send rating information in rating information feedback module；
The rating information feedback module can send rating information in analysis information storage module, the analysis informationStorage module can send analysis information in the storage module of cloud and store, while the analysis information storage module also canIt sends analysis information in recommending module and handles, the recommending module is used to recommend top-tier customer, tool to userBody recommendation process is as follows:
Step 1: the five-pointed star client and four star clients chosen in internal rating module is extracted；
Step 2: five-pointed star client and four star clients and viscosity degree M value are extracted；
Step 3: by the sticky degree M value of five-pointed star client and four star clients according to numerical values recited, row from big to small is carried outColumn, recommending module can extract maximum first X of numerical value and recommend user；
The intelligent display terminal is used to show the customer information that recommending module is recommended.
Further, the content of the customer information receipt module collection is to browse the customer information in user shop,The ratings feedback module is also used to integrate the sticky degree M and internal rating F of client.
Further, the content of client's complaint analysis module analysis by client to the evaluation of product and client to productOpinion composition, the content of client's consulting analysis module analysis seeked advice from pricing information and the client consulting of product by clientProduct information composition.
Further, the intelligent display terminal can be not restricted to for the mobile phone or tablet computer of the end PC and userThis.
Beneficial effects of the present invention:
(1): the present invention can be analyzed and meet more reasonable data by customer analysis module, to allow userIt can more be clearly understood that the client crowd of oneself, can effectively reduce user after data are parsed out and be directed toThe investment of inactive users, so that user be allowed more artificial and energy more can be put into the major customer personnel of oneselfIn, the benefit of oneself can be promoted while cost is reduced；
(2): the present invention can grade to the client crowd of user, and lead to by client's grading module of settingThe available grading F to client of formula Q*TI+P*T2+C*T3+Y*T4=F is crossed, and scoring F is carried out according to numerical value from bigIt is five-pointed star client more than preset value a to small arrangement, is four star users between preset value a-b, in preset value bIt is below be Samsung user, user can according to internal rating come the different types of service of user to different stars, thusUser's viscosity can be preferably improved, user experience is enhanced；
(3): the present invention can analyze out highest customers of viscosity degree, that is, old by client's viscosity analysis module of settingCustomer group, keep frequent customer it is more more economical than seeking new client, keep and client between it is continuous link up, contact for a long time,It maintains and the emotion tie of enhancing consumer can promote frequent customer to consume, so as to bring more interests to businessman.
Detailed description of the invention
In order to facilitate the understanding of those skilled in the art, the present invention will be further described below with reference to the drawings.
Fig. 1 is system block diagram of the invention.
Specific embodiment
As shown in Figure 1, a kind of customer analysis system for electric business platform, including information store cloud, master controller, noteVolume collects mould with login module, big data acquisition module, customer information classifying module, customer information processing module, customer informationBlock, information summarizing module, customer analysis module, information summarizing module, internal rating module, ratings feedback module and intelligent displayTerminal；
Wherein, the customer analysis module buys analysis module, client's complaint analysis module, client's consulting analysis by clientModule and client's viscosity analysis module form；
The big data acquisition module and main controller module communicate to connect, and the customer information collection module and information are stored upCloud communication connection is deposited, the customer information processing module and customer information collection module communicate to connect, and the customer information is returnedGeneric module and customer information processing module communicate to connect, and the customer analysis module and customer information classifying module communicate to connect,The internal rating module and customer analysis module communicate to connect, the ratings feedback module and internal rating module communication linkIt connects, the recommending module and internal rating module communicate to connect；
The big data acquisition module takes out for that will be stored in information storage cloud information, and the customer information is receivedCollection module is used to collect out customer information from big data acquisition module, and the customer information processing module is for handling customer informationThe information that collection module is collected, the information that the customer information classifying module is used to handle customer information processing module well carry outSort out, detailed process is as follows for specific classification:
Step 1: it only browsed the client that product is not inquired and is classified as not analyzing client；
The client that step 2: browsing product and is inquired is classified as client to be analyzed；
Step 3: repeatedly browsing product and the client repeatedly inquired is classified as client to be analyzed；
Step 4: buying product and buys and the client inquired is classified as needing to analyze client；
Step 5: buying product and the client evaluated is classified as needing to analyze client；
Step 6；Repeatedly purchase product and the multiple client for buying product and grading are by essential analysis client；
The customer analysis module is used to analyze the good information of customer information classifying module classification；Client's purchase pointAnalysis module is used to extract the purchase number of client in the information of customer information classifying module classification, client's complaint analysis moduleCustomer evaluation number in information for extracting the classification of customer information classifying module, client's consultation module is for extractingClient seeks advice from number in the information that customer information classifying module is sorted out；
For summarizing the information that customer analysis module is extracted, the internal rating module is used for the information summarizing moduleIt grades to information summarizing module summary information is stated, specific ranking process is as follows:
Step 1: client, which buys analysis module, to extract single client from needing to analyze in client and essential analysis clientPurchase number, repeatedly purchase be bonus point item, purchase number it is more scoring it is higher, which is marked as Q；
Step 2: client's complaint analysis module can extract the evaluation number for buying commodity client, and evaluation number isBonus point item, evaluation number it is more scoring it is higher, which is marked as P, for the client P repeatedly evaluated concrete composition such asUnder:
S1: the evaluation time of client can be also got when obtaining evaluation information of the client to commodity；
S2: when the evaluation time of client is before presetting, goals for P1；
S3: when the evaluation time of client is between default, goals for P2；
S4: when the evaluation time of client is between default, score be P3；
S5: wherein P1 > P2 > P3, P1+P2+P3=P；
Step 3: client's consulting analysis module can extract the consulting number for buying commodity client, and consulting number existsIt is bonus point item when in preset value, which is marked as C；
Step 4: client's viscosity analysis module, which can extract, bought commodity client to the sticky degree of purchase businessman, gluedProperty degree be bonus point item, which is marked as Y, and specific viscosity degree determination method is as follows；
S1: when client repeatedly buys the same commodity of same businessman, it can determine that for the client be high viscosity client, by thisSticky degree in the case of kind is expressed as Z；
S2: when client is to the commodity of purchase multiple favorable comment, can determine that this has client is high viscosity client, in the case of this kindSticky degree be expressed as X；
S3: when client repeatedly buys the different types of product of the businessman businessman, can determine that this has client is high viscosity visitorSticky degree in the case of this kind is expressed as B by family；
S4: client's viscosity analysis module can extract the time of customer evaluation and click the time that confirmation is received, and client is commentedThe time of valence is labeled as p1, and client is clicked and confirms that the time received labeled as p2, can must be evaluated by formula p1-p2=pThe time difference p of time and confirmation goods receiving time, time difference p are bonus point item, and the smaller bonus point of p value is more, and bonus point item is labeled as E；
S5: for prominent repeatedly purchase and the importance evaluated in time, mono- correction value L1 of Z is now assigned, assigns X mono-Correction value L2 assigns mono- correction value L3 of B, assigns mono- correction value L4, L1 < L2 < L4 < L3 of E, and L1+L2+L3+L4=1；
S6: by formula Z*L1+X*L2+B*L3+E*L4=M, it can analyze out client's viscosity degree M；
Step 5: in order to go out the prominent importance repeatedly bought again, mono- correction value T1 of Q is now assigned, now P mono- is assigned and repairsPositive value T2, C mono- correction value T3, Y, mono- correction value T4, wherein T4=T1 > T2 > T3, TI+T2+T3+T4=1；
S7: pass through the available grading F to client of formula Q*TI+P*T2+C*T3+Y*T4=F；
S8: will score the arrangement of F from big to small according to numerical value progress, be five-pointed star client more than preset value a, defaultIt is four star users between value a-b, below in preset value b is Samsung user；
The ratings feedback module can receive the good rating information of internal rating resume module, and the ratings feedbackIt can send rating information in rating information feedback module；
The rating information feedback module can send rating information in analysis information storage module, the analysis informationStorage module can send analysis information in the storage module of cloud and store, while the analysis information storage module also canIt sends analysis information in recommending module and handles, the recommending module is used to recommend top-tier customer, tool to userBody recommendation process is as follows:
Step 1: the five-pointed star client and four star clients chosen in internal rating module is extracted；
Step 2: five-pointed star client and four star clients and viscosity degree M value are extracted；
Step 3: by the sticky degree M value of five-pointed star client and four star clients according to numerical values recited, row from big to small is carried outColumn, recommending module can extract maximum first X of numerical value and recommend user；
The intelligent display terminal is used to show the customer information that recommending module is recommended.
The content of client's complaint analysis module analysis is by client to the evaluation of product and client to the opinion group of productAt the content of client's consulting analysis module analysis is seeked advice from the pricing information of product and the product information of client's consulting by clientComposition；The content of the customer information receipt module collection is to browse the customer information in user shop, the ratings feedbackModule is also used to integrate the sticky degree M and internal rating F of client；The intelligent display terminal can be the end PC and useThe mobile phone or tablet computer of person is not restricted to this.
A kind of customer analysis system for electric business platform, at work, user can pass through registration and login firstModule logs in the system, and accession number imports the store information of oneself, and after importing store information, master controller can control big data and adoptCollection module will be extracted from information system storage cloud with shop relevant information in import information, then through relevant customer informationIt is sent in customer information collection module and is collected, the information gathered can be transferred in customer information processing module and carry outProcessing, extracts useful processing, and the useful data being extracted can be transferred to progress client in client's classifying module and returnClass, customer analysis module can analyze the client sorted out, and wherein client, which buys analysis module, can analyze client's purchaseData, client's complaint analysis module can analyze the grading and opinion that client provides, and client's consulting analysis module can analyze client's official communicationThe information of product is ask, client's viscosity analysis module can analyze client's viscosity degree, after analysis module has analyzed above- mentioned information, meetingIt is sent in information summarizing module and is summarized, after having summarized, internal rating module can grade to client, and by gradingInformation is sent in ratings feedback module, and ratings feedback module can send the rating information that feedback is come to analysis information storage mouldIt is stored in block, the information stored, which can be recommended module and be sent on intelligent display terminal, to be shown；
Beneficial effects of the present invention are as follows:
(1): the present invention can be analyzed and meet more reasonable data by customer analysis module, to allow userIt can more be clearly understood that the client crowd of oneself, can effectively reduce user after data are parsed out and be directed toThe investment of inactive users, so that user be allowed more artificial and energy more can be put into the major customer personnel of oneselfIn, the benefit of oneself can be promoted while cost is reduced；
(2): the present invention can grade to the client crowd of user, and lead to by client's grading module of settingThe available grading F to client of formula Q*TI+P*T2+C*T3+Y*T4=F is crossed, and scoring F is carried out according to numerical value from bigIt is five-pointed star client more than preset value a to small arrangement, is four star users between preset value a-b, in preset value bIt is below be Samsung user, user can according to internal rating come the different types of service of user to different stars, thusUser's viscosity can be preferably improved, user experience is enhanced；
(3): the present invention can analyze out highest customers of viscosity degree, that is, old by client's viscosity analysis module of settingCustomer group, keep frequent customer it is more more economical than seeking new client, keep and client between it is continuous link up, contact for a long time,It maintains and the emotion tie of enhancing consumer can promote frequent customer to consume, so as to bring more interests to businessman.
Above content is only to structure of the invention example and explanation, affiliated those skilled in the art coupleDescribed specific embodiment does various modifications or additions or is substituted in a similar manner, without departing from inventionStructure or beyond the scope defined by this claim, is within the scope of protection of the invention.