CN105243559A - Customer distribution method and device - Google Patents

Customer distribution method and device Download PDF

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Publication number
CN105243559A
CN105243559A CN201510600572.8A CN201510600572A CN105243559A CN 105243559 A CN105243559 A CN 105243559A CN 201510600572 A CN201510600572 A CN 201510600572A CN 105243559 A CN105243559 A CN 105243559A
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client
threshold value
days
alternative
resources pond
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Inventor
徐晓慧
陈云贵
聂湘平
许美
熊上
王劲夫
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SHANGHAI YINTIANXIA TECHNOLOGY Co Ltd
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SHANGHAI YINTIANXIA TECHNOLOGY Co Ltd
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Priority to CN201510600572.8A priority Critical patent/CN105243559A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising

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Abstract

The invention discloses a customer distribution method and device, and belongs to the technical field of computers. The method comprises the steps: calculating the priority of all customers in an alternative customer resource pool according to the business behaviors of customers, wherein the alternative customer resource pool comprises customers who potentially open accounts or customers who potentially activate accounts; selecting a preset number of customers from the alternative customer resource pool, wherein the priority of the preset number of customers is higher than the priority of other customers in the alternative customer resource pool; and distributing the selected customers to salesmen according to a preset distribution strategy. The method selects the customers with higher priority from the alternative customer resource pool, and distributes the selected customers to the salesmen. Because the customers in the alternative customer resource pool are usually the customers who potentially open accounts or customers who potentially activate accounts, so the method solves a problem of the loss of a large number of customers in the prior art because the salesmen randomly distribute the customers. The method can improve the success rate of business marketing.

Description

Customer allocation method and device
Technical field
The present invention relates to field of computer technology, particularly a kind of customer allocation method and device.
Background technology
Apply for the quantity of business to improve client, a lot of company is provided with business personnel, and these business personnels can link up with client, to solve client's some problems when applicant company business.
When processing the consulting of client, can be the client of business personnel's Random assignment request consulting, business personnel, after linking up with the client be assigned with, follow the trail of the wish of client, thus causes more customer churn.
Summary of the invention
In order to solve in prior art because business personnel's Random assignment client, cause the problem of more customer churn, embodiments provide a kind of customer allocation method and device.Described technical scheme is as follows:
First aspect, provides a kind of customer allocation method, and described method comprises:
According to the business conduct of client, calculate the priority of each client in alternative customer resources pond, described alternative customer resources pond comprises and has the potential client opened an account or the client with potential activation;
From described alternative customer resources pond, choose the client of predetermined quantity, the priority of the client of described predetermined quantity higher than described alternative can other clients in resource pool;
According to the allocation strategy preset, the described client selected is distributed to business personnel.
Optionally, the priority of each client in the alternative customer resources pond of described calculating, comprising:
From described alternative customer resources pond, filter out the client storing number of days and be less than the first number of days threshold value, described storage number of days is the number of days that described client is stored to described alternative customer resources pond; Or, from described alternative resource pond, filter out the client of percent of call completed higher than the first percent of call completed threshold value;
According to the business conduct of client, the priority of each client that calculating sifting goes out.
Optionally, the described allocation strategy according to presetting, the described client selected is distributed to business personnel, comprising:
Determine the location of described client according to the customer information of client, described client is distributed to the business personnel that service area comprises described client location; At least one in location when the internet protocol IP address that when described customer information comprises the information of home location of the phone number of described client, described client logs in, access times are maximum and described client and business personnel converse; Or,
From the client of the described predetermined quantity chosen, filter out the client not contacting number of days and be greater than the second number of days threshold value, described client is distributed to business personnel, described second number of days threshold value is greater than described first number of days threshold value; Or,
From the client of the described predetermined quantity chosen, filter out the client of percent of call completed higher than the second percent of call completed threshold value, described client is distributed to business personnel, described second percent of call completed threshold value is greater than described first percent of call completed threshold value.
Optionally, described method also comprises:
After client is assigned to business personnel, reduce the priority ranking of described client in described alternative customer resources pond.
Optionally, described method also comprises:
Judgement client belong to new registration client, the potential customers had not yet registered, open an account but any one in unactivated client or customer revenue time, described client is stored in described alternative customer resources pond.
Second aspect, provide a kind of client's distributor, described device comprises:
Computing module, for the business conduct according to client, calculates the priority of each client in alternative customer resources pond, and described alternative customer resources pond comprises and has the potential client opened an account or the client with potential activation;
Choose module, for choosing the client of predetermined quantity from described alternative customer resources pond, the priority of the client of described predetermined quantity higher than described alternative can other clients in resource pool;
Distribution module, for according to the allocation strategy preset, chooses the described client that module selects distribute to business personnel by described.
Optionally, described computing module, comprising:
Screening unit, for filtering out the client storing number of days and be less than the first number of days threshold value from described alternative customer resources pond, described storage number of days is the number of days that described client is stored to described alternative customer resources pond; Or, from described alternative resource pond, filter out the client of percent of call completed higher than the first percent of call completed threshold value;
Computing unit, for the business conduct according to client, calculates the priority of each client that described screening sieve unit is selected.
Optionally, described distribution module, comprising:
First allocation units, for determining the location of described client according to the customer information of client, distribute to the business personnel that service area comprises described client location by described client; At least one in location when the internet protocol IP address that when described customer information comprises the information of home location of the phone number of described client, described client logs in, access times are maximum and described client and business personnel converse; Or,
Second allocation units, for choosing in the client of the described predetermined quantity that module selects from described, filter out the client not contacting number of days and be greater than the second number of days threshold value, described client distributed to business personnel, described predetermined number of days threshold value be greater than described first number of days threshold value; Or,
3rd allocation units, for choosing in the client of the described predetermined quantity that module selects from described, filter out the client of percent of call completed higher than the second percent of call completed threshold value, described client is distributed to business personnel, described second percent of call completed threshold value is greater than described first percent of call completed threshold value.
Optionally, described device also comprises:
Reduce module, for after client is assigned to business personnel, reduce the priority ranking of described client in described alternative customer resources pond.
Optionally, described device also comprises:
Memory module, for belong to judgement client new registration client, the potential customers had not yet registered, open an account but any one in unactivated client or customer revenue time, described client is stored in described alternative customer resources pond.
The beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is:
By selecting the higher client of priority from alternative customer resources pond, and these clients are distributed to business personnel, be generally the client with potential possibility of opening an account of recovery due to the client in alternative customer resources pond or there is the client of potential activation possibility, therefore to solve in correlation technique because business personnel's Random assignment client, cause the problem of more customer churn; Reach the effect that can improve the success ratio that business is promoted.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the method flow diagram of the customer allocation method provided in one embodiment of the invention;
Fig. 2 A is the method flow diagram of the customer allocation method provided in another embodiment of the present invention;
Fig. 2 B is the method flow diagram when calculating the priority of each client in alternative customer resources pond provided in one embodiment of the invention;
The structural representation of the client's distributor provided in Fig. 3 one embodiment of the invention;
The structural representation of the client's distributor provided in Fig. 4 another embodiment of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Fig. 1 is the method flow diagram of the customer allocation method provided in one embodiment of the invention, and this customer allocation method can be applied in CRM (CustomerRelationshipManagement, customer relation management) system.This customer allocation method can comprise the steps:
Step 101, according to the business conduct of client, calculates the priority of each client in alternative customer resources pond, and alternative customer resources pond comprises and has the potential client opened an account or the client with potential activation.
Step 102, chooses the client of predetermined quantity from alternative customer resources pond, the priority of the client of predetermined quantity higher than alternative can other clients in resource pool.
Step 103, according to the allocation strategy preset, distributes to business personnel by this client selected.
In sum, the customer allocation method that the embodiment of the present invention provides, by selecting the higher client of priority from alternative customer resources pond, and these clients are distributed to business personnel, be generally the client with potential possibility of opening an account of recovery due to the client in alternative customer resources pond or there is the client of potential activation possibility, therefore to solve in correlation technique because business personnel's Random assignment client, cause the problem of more customer churn; Reach the effect that can improve the success ratio that business is promoted.
Fig. 2 A is the method flow diagram of the customer allocation method provided in another embodiment of the present invention, and this customer allocation method can be applied in crm system.This customer allocation method can comprise the steps:
Step 201, judgement client belong to new registration client, the potential customers had not yet registered, open an account but any one in unactivated client or customer revenue time, this client is stored in alternative customer resources pond.
In general, client is after the website of a company or the registration portion of company are registered, and this client then belongs to registered client.
For the investment field such as noble metal or stock, company is more prone to allow client open an account and activate account, open an account and the client activating account show its to noble metal and stock very interested, and there is very large possibility buy noble metal that is that company provides or that instruct or stock.
If client just carried out registration in the website of company or registration portion, client now also may process the consideration phase or also not yet have enough time to open an account or activate, usually show that this kind of client has the possibility becoming corporate business client, therefore this kind of client can be stored in alternative customer resources pond.
If client only seeked advice from the business personnel of company, or the website of browsed company, or the browsed website relevant to the business that company provides, but not yet the website of company or registration portion registered, then usually show the tendency of the business that this client company of knowing about provides, but still can not determine that this client's success becomes the business client of company, this kind of client is commonly referred to potential customers.But because client understood the business of our company, client has the possibility of the business client becoming company, therefore this kind of potential customers had not yet registered can be stored in alternative customer resources pond.
Client has opened an account but un-activation, usually shows that this client is still in the consideration phase, and now this client possibility of becoming the business client of company is very large, therefore can to have opened an account this kind of but still unactivated client is stored in alternative customer resources pond.
Customer revenue typically refers to the history service client that this client belongs to company, but nullify the account opened in company at present, because this client itself has business experience, still likely continue the possibility of the business client becoming company, therefore customer revenue can be stored in alternative customer resources pond.
The business client of company said here is the product of purchase company or there is the client of business contact with company.
In actual applications, new registration client in above-mentioned, the potential customers had not yet registered, open an account but unactivated client or customer revenue can be analysts analyze after input to CRM, also can be that CRM determines according to the business conduct of the client collected.
Here said business conduct includes but not limited to: log in the behavior of Corporation web site, there is interactive behavior with corporate business person (linking up as by phone or instant messaging program and business personnel), view company business or product behavior, respond the information that company promotes behavior (such as promoting page input handset number, or input handset number and complete checking) etc.
Obviously, business conduct can also be other behavior, and the business conduct of the present embodiment to client does not limit.
Crm system often judge a client belong to new registration client, the potential customers had not yet registered, open an account but any one in unactivated client or customer revenue time, all this client is stored in alternative customer resources pond.
As from the foregoing, store in alternative customer resources pond there is the potential client opened an account or the client with potential activation.
Optionally, alternative customer resources pond comprises except blacklist and has opened an account and client except the client activated.Client in blacklist is the client forbidding opening an account or activate that company or crm system are arranged, and this client has malicious act usually, or does not possess the client of the authority opened an account or activate.
Step 202, according to the business conduct of client, calculates the priority of each client in alternative customer resources pond.
In actual applications, the quantity of the client in alternative customer resources pond is very huge, considers that the number of business personnel is limited, can distribute to limited business personnel by having the larger client that may become corporate business client, to reduce the turnover rate activating client, improve the success ratio that business is promoted.
In a kind of possible implementation, can see shown in Fig. 2 B, it is the method flow diagram when calculating the priority of each client in alternative customer resources pond provided in one embodiment of the invention, in fig. 2b, crm system, when calculating the priority of each client in alternative customer resources pond, can comprise the steps:
Step 202a, from alternative customer resources pond, filter out the client storing number of days and be less than the first number of days threshold value, storing number of days is the number of days that client is stored to alternative customer resources pond.
Client is being stored to alternative customer resources pond, is recording storage date when this client is stored.CRM can filter out the client storing number of days and be less than predetermined number of days threshold value according to the storage date of each client.
Optionally, operand when number of days is less than the client of the first number of days threshold value is stored in order to reduce CRM screening as much as possible, after client being stored in alternative customer resources pond, to sort these clients according to the storage moment, and each client stored carries out successively sequence according to the storage date all.Like this, CRM only needs first to determine that storage number of days equals the client of the first number of days threshold value, then select sequence each client after this client, the client of these selected taking-ups is the client filtering out from alternative customer resources pond and store number of days and be less than the first number of days threshold value.
In actual applications, after client is stored to alternative customer resources pond, if the storage number of days of this client is longer, show that this client does not pay close attention to the business of company in the recent period, the possibility that can become the business client of company is less; Otherwise the storage number of days of this client is shorter, show that this client has the business of concern company in the recent period, the possibility that can become the business client of company is larger.Therefore can calculate the priority of client according to storage number of days, the priority of client is used to indicate the priority being assigned with business personnel.
Here the first number of days threshold value can set according to the factor such as the quantity of client, the data of business personnel in alternative customer resources pond, and can be such as 3 days, the present embodiment limit the first number of days threshold value.
Step 202b, filters out the client of percent of call completed higher than the first percent of call completed threshold value from alternative resource pond.
Percent of call completed corresponding to client is the percent of call completed that business personnel connects this client, and normally client answers number of times that business personnel calls and is in the value that total degree that business personnel dials this client obtains.
First percent of call completed threshold value can set according to actual conditions, and the present embodiment does not limit the concrete value of the first percent of call completed threshold value.
Due to according to kind of the situation of two in step 202a and step 202b, namely portions of client can be filtered out from alternative customer resources pond, these clients relative in alternative customer resources pond not screened go out client have more the possibility becoming business client.
Step 202c, according to the business conduct of client, the priority of each client that calculating sifting goes out.
In alternative customer resources pond, the quantity of client is very many, can limit according to the value of the first number of days threshold value in step 202a and step 202b and the first percent of call completed threshold value the quantity filtering out client, can be such as 200,000 by the restricted number of the client filtered out.
Also be, in subsequent calculations, business personnel's distribution is carried out to all or part of client filtered out.
Step 203, chooses the client of predetermined quantity from alternative customer resources pond, the priority of the client of predetermined quantity higher than alternative can other clients in resource pool.
Optionally, when choosing the client of predetermined quantity from alternative customer resources pond, in the client that can filter out from step 202a or step 202b, choose the client of predetermined quantity.
Corresponding, when choosing the client of predetermined quantity in the client filtered out from step 202a or step 202b, the priority of the client of the predetermined quantity selected is higher than the priority of other clients filtered out in step 202a or step 202b.
For example, step 202a or step 202b filters out 200,000 clients from alternative customer resources pond, and step 203 item selects the client of the higher predetermined quantity of priority from these 200,000 clients.
Step 204, according to the allocation strategy preset, distributes to business personnel by the client selected.
CRM according to preset allocation strategy, the Method compare when client selected being distributed to business personnel is many, below by following three kinds of modes illustrate CRM according to preset allocation strategy, the client selected is distributed to the process of business personnel:
In first kind of way, determine the location of client according to the customer information of client, client is distributed to the business personnel that service area comprises client location; At least one in location when the procotol IP address that when customer information comprises the information of home location of the phone number of client, this client logs in, access times are maximum and this client and business personnel converse.
SCM systems can determine the location of client according to the customer information of client.
Such as, the scope of the equal corresponding phone number in each area, the scope of the phone number corresponding to the phone number of client and area, both can determine the ownership place of phone number, and the ownership place of phone number can represent the location of client usually.
Also such as, the internet protocol that when client logs in, access times are maximum can be obtained (English: InternetProtocol, be called for short: IP) address, the area corresponding to IP address that when client logs in, access times are maximum is generally the location of client.The equal corresponding IP address range in each area, the IP address that when logging according to client, access times are maximum and the IP address range corresponding to area, the area that when both can determine that client logs in, access times are maximum, the area that when client can be logged in, access times are maximum is defined as the location of client.
Also such as, in a kind of scene, client uses certain phone number in regional A application, but this client goes on business at regional B for a long time, and use this phone number at regional B, now the ownership place of phone number and the current location of client are not inconsistent, the location of this client when now then can consider that business personnel and client converse.Optionally, the location that this client is current can be determined in the base station involved by call.
In actual applications, at least two kinds in location when the procotol IP address that when can log in conjunction with the information of home location of the phone number of client, this client, access times are maximum and this client and business personnel converse, obtain the location of client, to make the location of the client obtained more accurate.
For example, client uses certain phone number in regional A application, but this client goes on business at regional B for a long time, and use this phone number at regional B, the IP address that when this client logs in, access times are maximum is also positioned at the IP address range of regional B, and business personnel and client when conversing the location of this client also basic at regional B, now, then determine that the location of this client is regional B.
In a kind of possible implementation, CRM can according to the service area of branch office, determine the service area of the business personnel of this branch office, the service area of the business personnel of the branch office in such as Shanghai is Jiangsu, Zhejiang and Shanghai, the service area of the business personnel of the branch office in Shenzhen is area, Pearl River Delta, and the service area of the business personnel of Beijing Company is northern area.
For the ease of the communication of business personnel and client, usually client is distributed to the business personnel that service area comprises client location.Such as, by the business personnel that the client in Jiangsu, Zhejiang and Shanghai distributes to the branch office in Shanghai, the client in area, Pearl River Delta is distributed to the business personnel of the branch office in Shenzhen, the client of northern area is distributed to the business personnel of branch office of Pekinese.
In the implementation that another kind is possible, according to the possession of business personnel, client is distributed the business personnel that possession is identical with the location of this client.The possession of business personnel said here can be local or the native place of business personnel.
For example, the client in Shanghai can be distributed to the business personnel in Shanghai, Pekinese client is distributed to Pekinese business personnel.
In the second way, from the client of the predetermined quantity chosen, filter out the client not contacting number of days and be greater than the second number of days threshold value, the client filtered out is distributed to business personnel, the second number of days threshold value is greater than the first number of days threshold value.
Here the second said number of days threshold value is generally the value being greater than the first number of days threshold value, also namely contacts in the client of the predetermined quantity selected and does not contact the more client of number of days.
For example, from the client of the predetermined quantity chosen, the client not contacting number of days and be greater than 5 days is filtered out.Obviously, filter out do not contact quantity that number of days is greater than the client of the second number of days threshold value be less than choose go out not contact the quantity that number of days is greater than the client of the first number of days threshold value.
In the third mode, from the client of this predetermined quantity chosen, filter out the client of percent of call completed higher than the second percent of call completed threshold value, the client filtered out is distributed to business personnel, the second percent of call completed threshold value is greater than the first percent of call completed threshold value.
Here the second said percent of call completed threshold value is generally the value being greater than the first percent of call completed threshold value, also namely contacts the client that in the client of the predetermined quantity selected, percent of call completed is higher.
For example, from the client of the predetermined quantity chosen, filter out percent of call completed higher than 50% client.Obviously, filter out percent of call completed and be less than the percent of call completed the chosen quantity higher than the client of the first percent of call completed threshold value higher than the quantity of the client of the second percent of call completed threshold value.
In actual applications, the strategy of three kinds of above-mentioned modes can be implemented separately, also can in conjunction with enforcement.
Step 205, after client is assigned to business personnel, reduces the priority ranking of this client in alternative customer resources pond.
Because client is just assigned to business personnel, by business personnel and this trade connection, in process after this, in order to avoid frequent annoying customers, the ranking of the priority of this client in alternative customer resources pond can be reduced, such as directly reduce by 100,000 rankings.
In sum, the customer allocation method that the embodiment of the present invention provides, by selecting the higher client of priority from alternative customer resources pond, and these clients are distributed to business personnel, be generally the client with potential possibility of opening an account of recovery due to the client in alternative customer resources pond or there is the client of potential activation possibility, therefore to solve in correlation technique because business personnel's Random assignment client, cause the problem of more customer churn; Reach the effect that can improve the success ratio that business is promoted.
Here is the device embodiment related in the embodiment of the present invention, and its specific implementation can see said method embodiment.
Fig. 3 is the structural representation of the client's distributor provided in one embodiment of the invention, and this client's distributor can be applied in crm system.This client's distributor can comprise: computing module 310, choose module 320 and distribution module 330.
Computing module 310, for the business conduct according to client, calculates the priority of each client in alternative customer resources pond, and alternative customer resources pond comprises and has the potential client opened an account or the client with potential activation;
Choose module 320, for choosing the client of predetermined quantity from alternative customer resources pond, the priority of the client of predetermined quantity higher than alternative can other clients in resource pool;
Distribution module 330, for according to the allocation strategy preset, distributes to business personnel by choosing this client that module 320 selects.
In sum, client's distributor that the embodiment of the present invention provides, by selecting the higher client of priority from alternative customer resources pond, and these clients are distributed to business personnel, be generally the client with potential possibility of opening an account of recovery due to the client in alternative customer resources pond or there is the client of potential activation possibility, therefore to solve in correlation technique because business personnel's Random assignment client, cause the problem of more customer churn; Reach the effect that can improve the success ratio that business is promoted.
Fig. 4 is the structural representation of the client's distributor provided in another embodiment of the present invention, and this client's distributor can be applied in crm system.This client's distributor can comprise: computing module 410, choose module 420 and distribution module 430.
Computing module 410, for the business conduct according to client, calculates the priority of each client in alternative customer resources pond, and alternative customer resources pond comprises and has the potential client opened an account or the client with potential activation;
Choose module 420, for choosing the client of predetermined quantity from alternative customer resources pond, the priority of the client of predetermined quantity higher than alternative can other clients in resource pool;
Distribution module 430, for according to the allocation strategy preset, distributes to business personnel by choosing this client that module 420 selects.
In a kind of possible implementation, this computing module 410 can comprise: screening unit 411 and computing unit 412.
Screening unit 411, for filtering out the client storing number of days and be less than the first number of days threshold value from alternative customer resources pond, storing number of days is the number of days that client is stored to alternative customer resources pond; Or, from alternative resource pond, filter out the client of percent of call completed higher than the first percent of call completed threshold value;
Computing unit 412, for the priority of each client that calculating sifting unit 411 filters out.
In a kind of possible implementation, this distribution module 430 can comprise: the first allocation units 431, second allocation units 432 and the 3rd allocation units 433.
First allocation units 431, for determining the location of this client according to the customer information of client, distribute to the business personnel that service area comprises this client location by this client; At least one in location when the internet protocol IP address that when access times log at most when this customer information comprises the information of home location of the phone number of this client, this client logs in, access times are maximum and this client and business personnel converse; Or,
Second allocation units 432, for from the client choosing the predetermined quantity that module 420 selects, filter out the client not contacting number of days and be greater than the second number of days threshold value, this client is distributed to business personnel, the second number of days threshold value is greater than the first number of days threshold value; Or,
3rd allocation units 433, for from the client choosing the predetermined quantity that module 420 selects, filter out the client of percent of call completed higher than the second percent of call completed threshold value, this client is distributed to business personnel, the second percent of call completed threshold value is greater than the first percent of call completed threshold value.
In a kind of possible implementation, this client's distributor can also comprise: reduce module 440.
Reduce module 440, for after client is assigned to business personnel, reduce the priority ranking of this client in alternative customer resources pond.
In a kind of possible implementation, this client's distributor can also comprise: memory module 450.
Memory module 450, for belong to judgement client new registration client, the potential customers had not yet registered, open an account but any one in unactivated client or customer revenue time, this client is stored in alternative customer resources pond.
In sum, client's distributor that the embodiment of the present invention provides, by selecting the higher client of priority from alternative customer resources pond, and these clients are distributed to business personnel, be generally the client with potential possibility of opening an account of recovery due to the client in alternative customer resources pond or there is the client of potential activation possibility, therefore to solve in correlation technique because business personnel's Random assignment client, cause the problem of more customer churn; Reach the effect that can improve the success ratio that business is promoted.
The module of client's distributor provided by the invention and unit are not limited to the division in Fig. 3 and Fig. 4, in other embodiments, can also have other dividing mode, as long as can realize the step that customer allocation method can realize.
It should be noted that: the client's distributor provided in above-described embodiment is when client distributes, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, inner structure by crm system is divided into different functional modules, to complete all or part of function described above.In addition, client's distributor that above-described embodiment provides and customer allocation method embodiment belong to same design, and its specific implementation process refers to embodiment of the method, repeats no more here.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. a customer allocation method, is characterized in that, described method comprises:
According to the business conduct of client, calculate the priority of each client in alternative customer resources pond, described alternative customer resources pond comprises and has the potential client opened an account or the client with potential activation;
From described alternative customer resources pond, choose the client of predetermined quantity, the priority of the client of described predetermined quantity higher than described alternative can other clients in resource pool;
According to the allocation strategy preset, the described client selected is distributed to business personnel.
2. method according to claim 1, is characterized in that, the priority of each client in the alternative customer resources pond of described calculating, comprising:
From described alternative customer resources pond, filter out the client storing number of days and be less than the first number of days threshold value, described storage number of days is the number of days that described client is stored to described alternative customer resources pond; Or, from described alternative resource pond, filter out the client of percent of call completed higher than the first percent of call completed threshold value;
According to the business conduct of client, the priority of each client that calculating sifting goes out.
3. method according to claim 1, is characterized in that, the described allocation strategy according to presetting, and the described client selected is distributed to business personnel, comprising:
Determine the location of described client according to the customer information of client, described client is distributed to the business personnel that service area comprises described client location; At least one in location when the internet protocol IP address that when described customer information comprises the information of home location of the phone number of described client, described client logs in, access times are maximum and described client and business personnel converse; Or,
From the client of the described predetermined quantity chosen, filter out the client not contacting number of days and be greater than the second number of days threshold value, described client is distributed to business personnel, described second number of days threshold value is greater than described first number of days threshold value; Or,
From the client of the described predetermined quantity chosen, filter out the client of percent of call completed higher than the second percent of call completed threshold value, described client is distributed to business personnel, described second percent of call completed threshold value is greater than described first percent of call completed threshold value.
4., according to described method arbitrary in claims 1 to 3, it is characterized in that, described method also comprises:
After client is assigned to business personnel, reduce the priority ranking of described client in described alternative customer resources pond.
5., according to described method arbitrary in claims 1 to 3, it is characterized in that, described method also comprises:
Judgement client belong to new registration client, the potential customers had not yet registered, open an account but any one in unactivated client or customer revenue time, described client is stored in described alternative customer resources pond.
6. client's distributor, is characterized in that, described device comprises:
Computing module, for the business conduct according to client, calculates the priority of each client in alternative customer resources pond, and described alternative customer resources pond comprises and has the potential client opened an account or the client with potential activation;
Choose module, for choosing the client of predetermined quantity from described alternative customer resources pond, the priority of the client of described predetermined quantity higher than described alternative can other clients in resource pool;
Distribution module, for according to the allocation strategy preset, chooses the described client that module selects distribute to business personnel by described.
7. device according to claim 6, is characterized in that, described computing module, comprising:
Screening unit, for filtering out the client storing number of days and be less than the first number of days threshold value from described alternative customer resources pond, described storage number of days is the number of days that described client is stored to described alternative customer resources pond; Or, from described alternative resource pond, filter out the client of percent of call completed higher than the first percent of call completed threshold value;
Computing unit, for the business conduct according to client, calculates the priority of each client that described screening sieve unit is selected.
8. device according to claim 6, is characterized in that, described distribution module, comprising:
First allocation units, for determining the location of described client according to the customer information of client, distribute to the business personnel that service area comprises described client location by described client; At least one in location when the internet protocol IP address that when described customer information comprises the information of home location of the phone number of described client, described client logs in, access times are maximum and described client and business personnel converse; Or,
Second allocation units, for choosing in the client of the described predetermined quantity that module selects from described, filter out the client not contacting number of days and be greater than the second number of days threshold value, described client is distributed to business personnel, described second number of days threshold value is greater than described first number of days threshold value; Or,
3rd allocation units, for choosing in the client of the described predetermined quantity that module selects from described, filter out the client of percent of call completed higher than the second percent of call completed threshold value, described client is distributed to business personnel, described second percent of call completed threshold value is greater than described first percent of call completed threshold value.
9., according to described device arbitrary in claim 6 to 8, it is characterized in that, described device also comprises:
Reduce module, for after client is assigned to business personnel, reduce the priority ranking of described client in described alternative customer resources pond.
10., according to described device arbitrary in claim 6 to 8, it is characterized in that, described device also comprises:
Memory module, for belong to judgement client new registration client, the potential customers had not yet registered, open an account but any one in unactivated client or customer revenue time, described client is stored in described alternative customer resources pond.
CN201510600572.8A 2015-09-21 2015-09-21 Customer distribution method and device Pending CN105243559A (en)

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