CN106952055A - Divided method, system and the electronic equipment with the system of customer value - Google Patents
Divided method, system and the electronic equipment with the system of customer value Download PDFInfo
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- CN106952055A CN106952055A CN201710233453.2A CN201710233453A CN106952055A CN 106952055 A CN106952055 A CN 106952055A CN 201710233453 A CN201710233453 A CN 201710233453A CN 106952055 A CN106952055 A CN 106952055A
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Abstract
The present invention provides a kind of divided method of customer value, system and the electronic equipment with the system, and applied to commercial operation place, the divided method of customer value includes：Predetermined clusters algorithm is applied to the parameter of strolling about of customer collected in predetermined amount of time, visiting commercial operation place, to set up the code of points for parameter of strolling about；Parameter of strolling about is used to evaluate customer value；Based on parameter of strolling about, it is determined that the dispersion degree for parameter of strolling about；According to the segmentation criteria of customer and the dispersion degree for parameter of strolling about, calculate for value index nember of being strolled about to the customer that each visiting customer is finely divided；Customer collected in predetermined amount of time, visiting commercial operation place is finely divided according to customer's value index nember of strolling about.The present invention can segment the value of strolling about of the visiting customer in commercial operation place, and being provided more in the various advertising campaign of progress for commercial operation place has foundation and specific aim；And the dimension data of RFL models has high available, with broad applicability.
Description
Technical field
The invention belongs to commercial operation analysis technical field, it is related to a kind of divided method and system, it is more particularly to a kind of
Divided method, system and the electronic equipment with the system of customer value.
Background technology
The index system of traditional RFM customer values model (Recency Frequency Monetary) is mainly basis
Last sale day of client, trading frequency, dealing money judge that the client is the important value client of enterprise or will flowed
The client of mistake.
Under the scene analyzed applied to store customer, in index spending amount (Monetary) to the network operator in market and
Speech has not accessibility, and RFM models have certain limitation in terms of the value differentiation applied to store customer, it is impossible to market
Visiting customer be finely divided, be unfavorable for improve market operating performance.
Therefore, a kind of divided method of customer value, system and the electronic equipment with the system how are provided, to solve
Limitation of the RFM customer values model in terms of the value differentiation applied to store customer, leads to not to business in the prior art
Visiting customer be finely divided, be unfavorable for improving the defect such as operating performance in market, it is real with as those skilled in the art urgently
Technical problem to be solved.
The content of the invention
The shortcoming of prior art in view of the above, it is an object of the invention to provide a kind of subdivision side of customer value
Method, system and the electronic equipment with the system, are turned round and look at for solving RFM customer values model in the prior art applied to market
Limitation in terms of the value differentiation of visitor, leads to not be finely divided the visiting customer in market, is unfavorable for improving the fortune in market
The problem of seeking performance.
In order to achieve the above objects and other related objects, one aspect of the present invention provides a kind of divided method of customer value,
Applied to commercial operation place, the divided method of the customer value comprises the following steps：Predetermined clusters algorithm is applied to
The parameter of strolling about of customer that predetermined amount of time is collected, the visiting commercial operation place, to set up commenting for the parameter of strolling about
Divider is then；The parameter of strolling about is used to evaluate customer value；Based on the parameter of strolling about, it is determined that the discrete journey of the parameter of strolling about
Degree；According to the segmentation criteria of customer and the dispersion degree of the parameter of strolling about, calculate thin for being carried out to each visiting customer
Point customer stroll about value index nember；Value index nember is strolled about to collected in predetermined amount of time, the business fortune of visiting according to customer
The customer in battalion place is finely divided.
In one embodiment of the invention, the parameter of strolling about includes visiting customer within a predetermined period of time and strolled about the business
The frequency, the time interval of visiting customer last time to the commercial operation place and the visiting customer in industry operation place are in institute
State the duration of strolling about that is averaged in commercial operation place.
In one embodiment of the invention, the predetermined clusters algorithm is K-means clustering algorithms.
It is described that predetermined clusters algorithm is applied in predetermined amount of time collection, visiting in one embodiment of the invention
The step of parameter of strolling about of the customer in the commercial operation place, scoring to obtain the parameter of strolling about, includes：By the K-
Means clustering algorithms be applied within a predetermined period of time visiting customer stroll about the commercial operation place the frequency, visiting customer
Last time to the commercial operation place time interval and visiting customer the commercial operation place be averaged stroll about when
It is long, obtain the cluster result for tentatively segmenting objective group and for show after preliminary subdivision each class visiting customer the frequency, when
Between interval and duration of strolling about cluster point distribution；According to the cluster result, the objective group for the customer that visits tentatively is segmented；
It is distributed according to the frequency, time interval and the cluster for duration of strolling about point, visiting customer within a predetermined period of time is set up respectively and is strolled about institute
State the frequency, the time interval of visiting customer last time to the commercial operation place and visiting customer in commercial operation place
The code of points of duration of strolling about that is averaged in the commercial operation place, is strolled about institute with obtaining visiting customer within a predetermined period of time
State scoring, the scoring of visiting customer last time to the time interval in the commercial operation place of the frequency in commercial operation place
And visiting customer the commercial operation place be averaged stroll about duration dispersion degree scoring.
In one embodiment of the invention, the visiting customer within a predetermined period of time strolls about the commercial operation place
The frequency weight that the dispersion degree of the frequency is calculated by using Information Entropy is represented；The visiting customer is for the last time to the business
The time interval weight that the time interval in industry operation place is calculated by using Information Entropy is represented；With the visiting customer in institute
The stroll about duration weight of strolling about that is calculated by using Information Entropy of dispersion degree of duration of being averaged for stating commercial operation place is represented.
In one embodiment of the invention, customer stroll about value index nember computing formula within a predetermined period of time visiting turn round and look at
Visitor stroll about the commercial operation place the frequency scoring × frequency weight+visiting customer last time to the commercial operation
Time interval scoring × time interval weight+visiting customer the commercial operation place be averaged stroll about duration from
Scoring × duration the weight of strolling about for the degree of dissipating.
In one embodiment of the invention, it is described according to customer stroll about value index nember to it is being collected in predetermined amount of time, arrive
The step of customer for visiting the commercial operation place is finely divided includes：Value subdivided interval is strolled about to institute according to default difference
The customer of calculating stroll about value index nember carry out first time customer value division, with obtain with default difference stroll about value subdivision area
Between the objective group of corresponding customer value；The objective group of the customer value includes the objective group of high value customer, the objective group of important value customer, general
It is worth the objective group of customer and the objective group of potential value customer；The objective group of the important value customer and the objective group of general value customer are carried out
Second customer value is divided, to mark off the objective group of important potential customer from the important value customer, important keep customer
The objective group of objective group and important development customer, the general objective group of potentiality customer in being divided from the objective group of the general value customer, typically draws
The objective group of customer and the objective group of General development customer are stayed, to provide marketing foundation for operation personnel.
In one embodiment of the invention, important potential customer visitor is marked off in the objective group from the important value customer
Group, important include the step of keep the objective group of customer and important development customer objective group：The objective group of important value customer is taken in the frequency
Average value on average value, time interval and the average value strolled about on duration, high value customer visitor group being averaged in the frequency
Average value in value, time interval and the average value strolled about on duration；According to objective group's being averaged in the frequency of important value customer
Average value in value, time interval and the average value strolled about on duration, average value of the high value customer visitor group in the frequency, when
Between average value on interval and the average value strolled about on duration, the first frequency ratio for further segmenting objective group is obtained respectively
Compare average compared with average, very first time interval, first stroll about time length ratio compared with average；Each in the objective group of important value customer is turned round and look at
The stroll about frequency in the commercial operation place of the visiting customer of visitor is compared average with first frequency and subtracted each other, and visits customer for the last time
Time interval to the commercial operation place is compared with very first time interval, and average is subtracted each other, the customer that visits is in the commercial operation
Being averaged of place duration of strolling about subtracts each other with the first time length ratio of strolling about compared with average, the commercial operation place if visiting customer strolls about
The difference that the frequency and first frequency are compared average is maximum, then divide the customer for important potential customer；If visit customer last
The difference that average is compared at the time interval in the commercial operation place and very first time interval is maximum, then dividing the customer is
It is important to keep customer；If visit customer the commercial operation place be averaged stroll about duration and first stroll about time length ratio compared with average it
It is poor maximum, then to divide the customer for important development customer, important potential customer will be divided into and constitute the objective group of important potential customer,
Be divided into it is important keep that customer's composition is important to keep the objective group of customer, be divided into important development customer composition important development customer visitor
Group.
In one embodiment of the invention, general potential customer visitor is marked off in the objective group from the general value customer
Group, general include the step of keep the objective group of customer and General development customer objective group：The objective group of general value customer is taken in the frequency
Average value on average value, time interval and the average value strolled about on duration, important value customer visitor group being averaged in the frequency
Average value in value, time interval and the average value strolled about on duration；According to objective group's being averaged in the frequency of general value customer
Average value in value, time interval and the average value strolled about on duration, average value of the important value customer visitor group in the frequency,
Average value in time interval and the average value strolled about on duration, obtain second frequency for further segmenting objective group respectively
Compare average, the second time interval to compare average, second stroll about time length ratio compared with average；By each in the objective group of general value customer
The stroll about frequency in the commercial operation place of the visiting customer of customer is compared average with second frequency and subtracted each other, visiting customer last
The time interval in the commercial operation place is compared with the second time interval, and average is subtracted each other, the customer that visits transports in the business
Being averaged of battalion place duration of strolling about subtracts each other with the second time length ratio of strolling about compared with average, the commercial operation place if the customer that visits strolls about
The frequency and second frequency compared average difference it is maximum, then divide the customer for general potential customer；If the customer that visits is last
Once the time interval and the second time interval to the commercial operation place are compared the difference maximum of average, then divide the customer
Typically to keep customer；If visiting be averaged stroll about duration and second of the customer in the commercial operation place strolls about time length ratio compared with average
Difference it is maximum, then divide the customer for General development customer, general potential customer will be divided into and constitute general potential customer visitor
Group, is divided into general customer's composition of keeping and typically keeps the objective group of customer, be divided into General development customer composition General development customer
Objective group.
Another aspect of the present invention provides a kind of subdivision system of customer value, applied to commercial operation place, the customer
The subdivision system of value includes：First processing module, for by predetermined clusters algorithm be applied to predetermined amount of time collect, arrive
The parameter of strolling about of the customer in the commercial operation place is visited, to set up the code of points of the parameter of strolling about；The parameter of strolling about
For evaluating customer value；Second processing module, for based on the parameter of strolling about, it is determined that the discrete journey of the parameter of strolling about
Degree；Computing module, for the segmentation criteria according to customer and the dispersion degree of the parameter of strolling about, is calculated for visiting customer
The customer being finely divided strolls about value index nember；Division module, for strolling about value index nember to being received in predetermined amount of time according to customer
Collection, visiting commercial operation place customer is finely divided.
Another aspect of the invention provides a kind of electronic equipment, and the electronic equipment includes the subdivision system of described customer value
System.
As described above, the present invention customer value divided method, system and the electronic equipment with the system, with
Lower beneficial effect：
Divided method, system and the electronic equipment with the system of customer value of the present invention can segment business
Run the value of strolling about of the visiting customer in place, for commercial operation place the various advertising campaign of progress provide more have foundation and
Specific aim；The dimension data of the Segmentation Model of customer value has high available, and the mass data obtained accordingly passes through machine
The mode of study so that model eliminates time, the dependence of region, with broad applicability；And can be in customer purchasing behavior
Before generation, customer's issuable make purchases worth more height is judged in advance.
Brief description of the drawings
Fig. 1 is shown as schematic flow sheet of the divided method of the customer value of the present invention in an embodiment.
Fig. 2 is shown as the idiographic flow schematic diagram of step S1 in the divided method of the customer value of the present invention.
Fig. 3 is shown as the idiographic flow schematic diagram of step S4 in the divided method of the customer value of the present invention
Fig. 4 is shown as theory structure schematic diagram of the subdivision system of the customer value of the present invention in an embodiment.
Fig. 5 is shown as theory structure schematic diagram of the electronic equipment of the present invention in an embodiment.
Component label instructions
The subdivision system of 1 customer value
11 first processing modules
12 Second processing modules
13 computing modules
14 division modules
141 first division units
142 second division units
S1~Sn steps
Embodiment
Illustrate embodiments of the present invention below by way of specific instantiation, those skilled in the art can be by this specification
Disclosed content understands other advantages and effect of the present invention easily.The present invention can also pass through specific realities different in addition
The mode of applying is embodied or practiced, the various details in this specification can also based on different viewpoints with application, without departing from
Various modifications or alterations are carried out under the spirit of the present invention.It should be noted that, in the case where not conflicting, following examples and implementation
Feature in example can be mutually combined.
It should be noted that the diagram provided in following examples only illustrates the basic structure of the present invention in a schematic way
Think, then in schema only display with relevant component in the present invention rather than according to component count, shape and the size during actual implement
Draw, it is actual when implementing, and kenel, quantity and the ratio of each component can be a kind of random change, and its assembly layout kenel
It is likely more complexity.
Embodiment one
The present embodiment provides a kind of divided method of customer value, applied to commercial operation place, the customer value
Divided method comprises the following steps：
Predetermined clusters algorithm is applied to the trip of customer collected in predetermined amount of time, the visiting commercial operation place
Parameter is strolled, to set up the code of points of the parameter of strolling about；The parameter of strolling about is used to evaluate customer value；
Based on the parameter of strolling about, it is determined that the dispersion degree of the parameter of strolling about；
According to the segmentation criteria of customer and the dispersion degree of the parameter of strolling about, calculate for being finely divided to visiting customer
Customer stroll about value index nember；
Customer collected in predetermined amount of time, the visiting commercial operation place is entered according to customer's value index nember of strolling about
Row subdivision.
The divided method of the customer value provided below with reference to diagram the present embodiment is described in detail.This implementation
The divided method of customer value described in example is applied to commercial operation place, for example, market, bar, supermarket etc..The present embodiment
Department stores are used in selection.The present embodiment is based on RFL models, and the RFL models are weighing the thin of department stores visiting customer
Divide in value and considered following dimension：Arcade shop premises to the attraction (stroll about time L of the customer in market) of customer, turn round and look at
Visitor comes the frequency (F) in market, the time (R) of customer's the last time visiting, and comprehensive assessment market visiting customer strolls about to place
Value Contribution.
Referring to Fig. 1, being shown as schematic flow sheet of the divided method of customer value in an embodiment.As shown in figure 1,
The divided method of the customer value specifically includes following steps：
S1, customer collected in predetermined amount of time, the visiting commercial operation place is applied to by predetermined clusters algorithm
Parameter of strolling about, to set up the code of points of the parameter of strolling about；The parameter of strolling about is used to evaluate customer value.In this implementation
In example, the parameter of strolling about is included in visiting in predetermined amount of time (in the present embodiment, the predetermined amount of time T is half a year) and turned round and look at
Visitor strolls about the frequency (Frequency/ times) in the commercial operation place, visiting customer's last time to the commercial operation place
Time interval (Recently/ days), and/or visiting customer the commercial operation place the duration (Length/ that strolls about that is averaged
Hour).The predetermined clusters algorithm is K-means clustering algorithms.Referring to Fig. 2, being shown as step S1 idiographic flow signal
Figure.As shown in Fig. 2 the step S1 includes following steps：
S11, is applied to visiting customer within a predetermined period of time by the K-means clustering algorithms and strolls about the commercial operation
The frequency, the time interval of visiting customer last time to the commercial operation place and the visiting customer in place are in the business
The duration of strolling about that is averaged in place is runed, cluster result and the frequency, time interval and the distribution of the cluster for duration of strolling about point is obtained.Institute
State cluster result be used for tentatively segment visitor group cluster result.The cluster point distribution is used to show that each class to be arrived after preliminary subdivision
Customer is visited in the parameter of strolling about in commercial operation place of strolling about, the i.e. frequency, time interval and duration of strolling about.
In the present embodiment, K-means clustering algorithms are the splitting scheme that k cluster is found by iteration, the division side
Case is based on minimal error sum-of-squares criterion so that represent the totality obtained by corresponding Different categories of samples with the average of k cluster
Error is minimum.The error function of K-means clustering algorithms is as follows：
Wherein, μc(i)Represent the average of ith cluster, x(i)For the i-th class sample (including within a predetermined period of time
The customer that visits strolls about the frequency in the commercial operation place, visiting customer's last time between the time in the commercial operation place
Every and visiting customer in the duration of strolling about that is averaged in the commercial operation place, the sample of three dimensions).
Known according to substantial amounts of experimental data, after cluster result k value=9, error amount J pace of change decline becomes
In gentle.
S12, the error amount J pace of change that can make deduced according to step S11 declines the cluster result tended towards stability, will arrive
The objective group for visiting customer is tentatively segmented, and the customer that will visit is divided into 9 classes.
S13, is distributed according to the frequency, time interval and the cluster for duration of strolling about point, sets up arrive within a predetermined period of time respectively
Visit customer stroll about the commercial operation place frequency F, visiting customer last time between the time in the commercial operation place
Every R and visiting customer the commercial operation place the duration L code of points of strolling about that is averaged, to obtain in predetermined amount of time
Interior visiting customer strolls about the scoring of the frequency in the commercial operation place, visiting customer's last time to the commercial operation place
Time interval scoring and visiting customer the commercial operation place be averaged stroll about duration dispersion degree scoring.Ginseng
Be shown in Table 1 within a predetermined period of time visiting customer stroll about the commercial operation place the frequency code of points, table 2 for visiting customer
Last time is to the code of points of the time interval in the commercial operation place, and table 3 is visiting customer in the commercial operation
The code of points of duration of strolling about that is averaged.
Table 1：The code of points of the frequency
| F | Scoring |
| (0,1] | 1 |
| (1,3] | 2 |
| (3,6] | 3 |
| (6,12] | 4 |
| (12,25] | 5 |
| (25, | 6 |
Table 2：The code of points of time interval
| R | Scoring |
| (100, | 1 |
| (60,100] | 2 |
| (30,60] | 3 |
| (15,30] | 4 |
| (7,15] | 5 |
| (0,7] | 6 |
Table 3：Stroll about the code of points of duration
| L | Scoring |
| (0,0.5] | 1 |
| (0.5,1] | 2 |
| (1,2] | 3 |
| (2,3] | 4 |
| (3,5] | 5 |
| (5, | 6 |
S2, based on the parameter of strolling about, it is determined that the dispersion degree of the parameter of strolling about.In the present embodiment, it is described pre-
The stroll about dispersion degree of the frequency in the commercial operation place of visiting customer is calculated by using Information Entropy in section of fixing time
Frequency weight HFRepresent；The time interval of the visiting customer for the last time to the commercial operation place is by using Information Entropy
The time interval weight H calculatedRRepresent；With it is described visiting customer the commercial operation place be averaged stroll about duration from
The duration weight H that strolls about that the degree of dissipating is calculated by using Information EntropyLRepresent.In the present embodiment, it is a certain in parameter of strolling about
The dispersion degree of individual parameter is bigger, illustrates that influence of the parameter to overall merit is bigger.
Wherein, HF=∑ P (F) logP (F), P (F) are strolled about described by the customer of visiting within a predetermined period of time for the customer that visits
The frequency composition in commercial operation place.
HR=∑ P (R) logP (R), P (R) are by the customer that visits within a predetermined period of time for the last time to the commercial operation
The time interval composition in place.
HL=∑ P (L) logP (L), P (L) are by the customer that visits within a predetermined period of time in the flat of the commercial operation place
Duration of strolling about is constituted.
The H obtained by the calculating of lot of experimental data, the present embodimentF=0.3, HR=0.3, HL=0.4.
S3, according to the segmentation criteria of customer and the dispersion degree of the parameter of strolling about, is calculated for being turned round and look to each visiting
The customer that visitor is finely divided strolls about value index nember.In the present embodiment, customer's value index nember of strolling about is represented with RFL, i.e.,
RFL=F × HF+R×HR+L×HLThe formula (2) of=F × 30%+R × 30%+L × 40%
S4, strolls about Gu of the value index nember to the visiting commercial operation place that is being collected in predetermined amount of time according to customer
Visitor is finely divided.Referring to Fig. 3, being shown as step S4 schematic flow sheet.As shown in figure 3, the step S4 specifically include with
Under several steps：
S41, according to default difference stroll about value subdivided interval the customer calculated is strolled about value index nember carry out first
Secondary customer value is divided, and is strolled about the corresponding customer value visitor group of value subdivided interval with default difference with obtaining；The customer
The objective group of value includes the objective group of high value customer, the objective group of important value customer, the objective group of general value customer and potential value customer visitor
Group.In the present embodiment, default difference stroll about value subdivided interval include [4,6], [3,4), [and 2,3), (0,2).Wherein, swim
Stroll the objective group of value subdivided interval [4,6] correspondence high value customer, and value of strolling about subdivided interval [3,4) correspondence important value customer visitor
Group, and value of strolling about subdivided interval [2,3) the objective group of correspondence general value customer, the potential valency of value subdivided interval (0,2) correspondence of strolling about
It is worth the objective group of customer.
S42, second of customer value division is carried out to the objective group of the important value customer and the objective group of general value customer, with
The objective group of important potential customer is marked off from the important value customer, important the objective group of customer and important development customer visitor is kept
Group, the general objective group of potentiality customer in being divided from the objective group of the general value customer, general keeps the objective group of customer and General development
Customer visitor group, to provide marketing foundation for operation personnel.
Specific second of customer value partition process to the objective group of the important value customer is as follows：
Take average value of the objective group of important value customer in the frequency, the average value in time interval and stroll about on duration
Average value.For example, the average value of important value customer visitor's three dimensions of group is (a, b, c), high value customer visitor group is in the frequency
Average value, the average value in time interval and the average value strolled about on duration, for example, high value customer visitor's group three dimensions
Average value be (A, B, C).
According to objective average value of the group in the frequency of important value customer, the average value in time interval and stroll about on duration
Average value, high value customer visitor average value of the group in the frequency, the average value in time interval and being averaged on duration of strolling about
Value, to obtain and compare average x1, very first time interval for further segmenting first frequency of objective group and compare average y1, first respectively
Time length ratio stroll about compared with average z1.Specifically,
Three dimensions of each customer are (a1, b1, c1) in any objective group of important value customer, by important value customer
The stroll about frequency in the commercial operation place of the visiting customer of each customer is compared average with first frequency and subtracted each other in objective group, i.e.,
(a1-x1), visiting customer is compared average phase to the time interval in the commercial operation place with very first time interval for the last time
Subtract the duration of strolling about of being averaged of (b1-y1), visiting customer in the commercial operation place with the first time length ratio of strolling about compared with average to subtract each other
(c1-z1), if visiting customer strolls about, the frequency and first frequency in the commercial operation place are compared the difference (a1-x1) of average most
Greatly, then divide the customer for important potential customer；If customer's last time of visiting is between the time in the commercial operation place
Every and very first time interval compared average difference (b1-y1) it is maximum, then divide the customer and keep customer to be important；If visiting customer
The commercial operation place be averaged stroll about duration and the first time length ratio of strolling about it is maximum compared with the difference (c1-z1) of average, then draw
It is important development customer to divide the customer.
Important potential customer will be divided into and constitute the objective group of important potential customer, be divided into and important keep that customer's composition is important to be drawn
The objective group of customer is stayed, the objective group of important development customer composition important development customer is divided into.
Specific second of customer value partition process to the objective group of the general value customer is as follows：
Take average value of the objective group of general value customer in the frequency, the average value in time interval and stroll about on duration
Average value, for example, the average value of general value customer visitor's three dimensions of group is (d, e, f), important value customer visitor group is in the frequency
On average value, the average value in time interval and the average value (D, E, F) strolled about on duration.
According to objective average value of the group in the frequency of general value customer, the average value in time interval and stroll about on duration
Average value, important value customer visitor average value of the group in the frequency, the average value in time interval and stroll about flat on duration
Average, to obtain and compare average x2, the second time interval for further segmenting second frequency of objective group and compare average y2, the respectively
Two stroll about time length ratio compared with average z2. specifically,
Three dimensions of each customer are (a2, b2, c2) in any objective group of general value customer, by general value customer
The stroll about frequency in the commercial operation place of the visiting customer of each customer is compared average with second frequency and subtracted each other in objective group
(a2-x2), visiting customer is compared average phase to the time interval in the commercial operation place with the second time interval for the last time
Subtract the duration of strolling about of being averaged of (b2-y2), visiting customer in the commercial operation place with the second time length ratio of strolling about compared with average to subtract each other
(c2-z2), if visiting customer strolls about, the frequency and second frequency in the commercial operation place are compared the difference (a2-x2) of average most
Greatly, then divide the customer for general potential customer；If customer's last time of visiting is between the time in the commercial operation place
Every and the second time interval compared average difference (b2-y2) it is maximum, then the customer is divided typically to keep customer；If visiting customer
The commercial operation place be averaged stroll about duration and the second time length ratio of strolling about it is maximum compared with the difference (c2-z2) of average, then draw
It is General development customer to divide the customer.
General potential customer will be divided into and constitute the objective group of general potential customer, general customer's composition of keeping is divided into and typically draws
The objective group of customer is stayed, the objective group of General development customer composition General development customer is divided into.
The divided method of customer value described in the present embodiment can segment strolling about for the visiting customer in commercial operation place
Value, being provided more in the various advertising campaign of progress for commercial operation place has foundation and specific aim；The subdivision mould of customer value
The dimension data of type has high available, and the mass data obtained accordingly is by way of machine learning so that model is excluded
Time, the dependence of region, with broad applicability, and be able to may be produced to customer in advance before customer purchasing behavior generation
Raw make purchases worth more height judges.
Embodiment two
The present embodiment provides a kind of subdivision system 1 of customer value, applied to commercial operation place, for example, market, wine
, supermarket etc..Referring to Fig. 4, being shown as theory structure schematic diagram of the subdivision system of customer value in an embodiment.Such as
Shown in Fig. 4, the subdivision system 1 of the customer value includes：First processing module 11, Second processing module 12, computing module 13,
And division module 14.
First processing module, for predetermined clusters algorithm to be applied into the predetermined amount of time collection, business of visiting
The parameter of strolling about of the customer in place is runed, to set up the code of points of the parameter of strolling about；It is described stroll about parameter be used for evaluate Gu
Visitor's value.In the present embodiment, the parameter of strolling about be included in predetermined amount of time (in the present embodiment, the predetermined amount of time T
For half a year) in visiting customer stroll about the commercial operation place the frequency (frequency/ time), visiting customer for the last time extremely
The time interval (recently/ days) in the commercial operation place, and/or visiting customer's being averaged in the commercial operation place
Stroll about duration (Length/ hours).The predetermined clusters algorithm is K-means clustering algorithms.
Specifically, first processing module is used to be applied to the K-means clustering algorithms to visit within a predetermined period of time
Customer stroll about the commercial operation place the frequency, visiting customer last time to the commercial operation place time interval,
With visiting customer every time in the duration of strolling about in the commercial operation place, obtain cluster result and the frequency, time interval and stroll about
The cluster point distribution of duration.The cluster result is used for the cluster result for tentatively segmenting objective group.The cluster point distribution is used to show
Show after preliminary subdivision that each class customer that visits in the parameter of strolling about in commercial operation place of strolling about, the i.e. frequency, time interval and strolls about
Duration.Known according to substantial amounts of experimental data, after cluster result k value=9, error amount J pace of change declines and tended to
Gently.
The first processing module is additionally operable to decline tend towards stability poly- according to the pace of change of error amount that can make deduced
Class result, the objective group for the customer that visits tentatively is segmented, and according to the frequency, time interval and the cluster for duration of strolling about point minute
Cloth, set up respectively within a predetermined period of time visiting customer stroll about the commercial operation place frequency F, visiting customer for the last time
To the commercial operation place time interval R and visiting customer the commercial operation place the commenting of duration L of strolling about that be averaged
Divider is then.
The Second processing module 12 being connected with the first processing module 11 is used for based on the parameter of strolling about, it is determined that described
The dispersion degree for parameter of strolling about.In the present embodiment, the visiting customer within a predetermined period of time strolls about the commercial operation
The frequency the frequency weight H that is calculated by using Information Entropy of dispersion degreeFRepresent；The visiting customer last time is extremely
The time interval weight H that the time interval in the commercial operation place is calculated by using Information EntropyRRepresent；With the visiting
Be averaged stroll about stroll about duration that the dispersion degree of duration by using Information Entropy calculated of the customer in the commercial operation place
Weight HLRepresent.
The computing module 13 being connected with the Second processing module 12 is used for according to the segmentation criteria of customer and described strolled about
The dispersion degree of parameter, is calculated for value index nember of being strolled about to the customer that each visiting customer is finely divided.In the present embodiment
In, customer's value index nember of strolling about is represented with RFL, i.e. RFL=F × HF+R×HR+L×HL=F × 30%+R × 30%+L ×
40%.
The division module 14 being connected with the computing module 13 is used to stroll about value index nember in the scheduled time according to customer
Customer that section is collected, the visiting commercial operation place is finely divided.With continued reference to Fig. 4, the division module 14 includes the
One division unit 141 and the second division unit 142 being connected with first division unit 141.
Specifically, first division unit 141 is used to stroll about value subdivided interval to being calculated according to default difference
Customer stroll about value index nember carry out first time customer value division, with obtain with default difference stroll about value subdivided interval pair
The objective group of customer value answered；The objective group of the customer value includes the objective group of high value customer, the objective group of important value customer, general value
Customer visitor group and the objective group of potential value customer.In the present embodiment, default difference stroll about value subdivided interval include [4,6],
[3,4), [2,3), (0,2).Wherein, stroll about the objective group of value subdivided interval [4,6] correspondence high value customer, value of strolling about subdivision area
Between [3,4) the objective group of correspondence important value customer, value of strolling about subdivided interval [2,3) the objective group of correspondence general value customer, valency of strolling about
It is worth the objective group of subdivided interval (0,2) correspondence potential value customer.
Second division unit 142 is used to carrying out the objective group of the important value customer and the objective group of general value customer the
Secondary customer value is divided, to mark off the objective group of important potential customer from the important value customer, important keep customer visitor
Group and the objective group of important development customer, the general objective group of potentiality customer in being divided from the objective group of the general value customer, typically keep
Customer visitor group and the objective group of General development customer, to provide marketing foundation for operation personnel.
The present embodiment provides a kind of electronic equipment 2, referring to Fig. 5, being shown as principle of the electronic equipment in an embodiment
Structural representation.As shown in figure 5, the electronic equipment 2 includes the subdivision system 1 of above-mentioned customer value.Specifically, place is passed through
Manage the subdivision of device and memory realization to customer value.
Processor is used to predetermined clusters algorithm being applied in predetermined amount of time collection, the commercial operation place of visiting
Customer parameter of strolling about, to set up the code of points of the parameter of strolling about；Based on the parameter of strolling about, it is determined that the ginseng of strolling about
Several dispersion degrees；According to the segmentation criteria of customer and the dispersion degree of the parameter of strolling about, calculate for each visiting
The customer that customer is finely divided strolls about value index nember；Value index nember is strolled about to collected in predetermined amount of time, visiting according to customer
The customer in the commercial operation place is finely divided.
With the memory for storing predetermined clusters algorithm, in predetermined amount of time collection, the commercial operation of visiting
The data such as the parameter of strolling about of the customer in place.The memory can include read-only storage and random access memory, and to place
Manage device and data are provided.The a part of of memory can also include nonvolatile RAM.
In summary, the divided method of customer value of the present invention, system and the electronic equipment energy with the system
Enough the value of strolling about of the visiting customer in subdivision commercial operation place, is provided for commercial operation place in the various advertising campaign of progress
More there are foundation and specific aim；And the dimension data of RFL models has high available, the mass data obtained accordingly passes through machine
The mode of study so that model eliminates time, the dependence of region, with broad applicability, and can be in customer purchasing behavior
Before generation, customer's issuable make purchases worth more height is judged in advance.So, the present invention effectively overcomes of the prior art
Various shortcoming and have high industrial utilization.
The above-described embodiments merely illustrate the principles and effects of the present invention, not for the limitation present invention.It is any ripe
Know the personage of this technology all can carry out modifications and changes under the spirit and scope without prejudice to the present invention to above-described embodiment.Cause
This, those of ordinary skill in the art is complete without departing from disclosed spirit and institute under technological thought such as
Into all equivalent modifications or change, should by the present invention claim be covered.
Claims (11)
1. a kind of divided method of customer value, it is characterised in that applied to commercial operation place, the subdivision of the customer value
Method comprises the following steps：
Predetermined clusters algorithm is applied to the ginseng of strolling about of customer collected in predetermined amount of time, the visiting commercial operation place
Number, to set up the code of points of the parameter of strolling about；The parameter of strolling about is used to evaluate customer value；
Based on the parameter of strolling about, it is determined that the dispersion degree of the parameter of strolling about；
According to the segmentation criteria of customer and the dispersion degree of the parameter of strolling about, calculate thin for being carried out to each visiting customer
Point customer stroll about value index nember；
According to customer stroll about value index nember customer collected in predetermined amount of time, the visiting commercial operation place is carried out it is thin
Point.
2. the divided method of customer value according to claim 1, it is characterised in that：The parameter of strolling about is included in predetermined
The customer that visited in period strolls about the frequency in the commercial operation place, visiting customer for the last time to the commercial operation place
Time interval, and/or visiting customer the commercial operation place the duration of strolling about that is averaged.
3. the divided method of customer value according to claim 2, it is characterised in that：The predetermined clusters algorithm is K-
Means clustering algorithms.
4. the divided method of customer value according to claim 3, it is characterised in that：It is described by predetermined clusters algorithm application
In the parameter of strolling about of customer collected in predetermined amount of time, the visiting commercial operation place, to obtain the parameter of strolling about
Scoring the step of include：
The K-means clustering algorithms are applied into visiting customer within a predetermined period of time to stroll about the frequency in the commercial operation place
The secondary, time interval of visiting customer last time to the commercial operation place and visiting customer are in the commercial operation place
The duration of strolling about that is averaged, obtain the cluster result for tentatively segmenting objective group and for showing that each class visiting is turned round and look at after preliminary subdivision
Visitor is distributed in the frequency, time interval and the cluster for duration of strolling about point；
According to the cluster result, the objective group for the customer that visits tentatively is segmented；
It is distributed according to the frequency, time interval and the cluster for duration of strolling about point, visiting customer trip within a predetermined period of time is set up respectively
Stroll the frequency, the time interval of visiting customer last time to the commercial operation place and visiting in the commercial operation place
Customer the commercial operation place the code of points of duration of strolling about that is averaged, to obtain visiting customer trip within a predetermined period of time
Stroll scoring, the time interval of visiting customer last time to the commercial operation place of the frequency in the commercial operation place
Scoring and visiting customer the commercial operation place be averaged stroll about duration dispersion degree scoring.
5. the divided method of customer value according to claim 2, it is characterised in that：
It is described within a predetermined period of time visiting customer stroll about the commercial operation place the frequency dispersion degree by using entropy
The frequency weight that value method is calculated is represented；
It is described visiting customer last time to the commercial operation place time interval by using Information Entropy calculated when
Between interval weight represent；With
Be averaged the stroll about dispersion degree of duration of the visiting customer in the commercial operation place is counted by using Information Entropy
The duration weight of strolling about calculated is represented.
6. the divided method of customer value according to claim 5, it is characterised in that：Customer strolls about the calculating of value index nember
Formula turns round and look at for the stroll about scoring × frequency weight+visiting of the frequency in the commercial operation place of visiting customer within a predetermined period of time
Scoring × time interval weight+visiting customer of time interval of the objective last time to the commercial operation place is in the business
Operation place be averaged stroll about duration dispersion degree scoring × duration weight of strolling about.
7. the divided method of customer value according to claim 6, it is characterised in that：It is described to refer to according to customer's value of strolling about
It is several to include the step of be finely divided to customer collected in predetermined amount of time, the visiting commercial operation place：
According to default difference stroll about value subdivided interval the customer calculated is strolled about value index nember carry out first time customer's valency
Value is divided, and is strolled about value subdivided interval corresponding customer value visitor group with default difference with obtaining；The objective group of the customer value
Including the objective group of high value customer, the objective group of important value customer, the objective group of general value customer and the objective group of potential value customer；
Second of customer value division is carried out to the objective group of the important value customer and the objective group of general value customer, with from described heavy
Be worth in customer mark off the objective group of important potential customer, it is important keep the objective group of customer and the objective group of important development customer, from described
The general objective group of potentiality customer in being divided in general value customer visitor group, it is general keep the objective group of customer and the objective group of General development customer,
To provide marketing foundation for operation personnel.
8. the divided method of customer value according to claim 7, it is characterised in that：From the objective group of the important value customer
In mark off the objective group of important potential customer, important include the step of keep the objective group of customer and important development customer objective group：
Take average value of the objective group of important value customer in the frequency, the average value in time interval and being averaged on duration of strolling about
Value, average value of the high value customer visitor group in the frequency, the average value in time interval and the average value strolled about on duration；
According to average value of the objective group of important value customer in the frequency, the average value in time interval and putting down on duration of strolling about
Average, average value of the high value customer visitor group in the frequency, the average value in time interval and the average value strolled about on duration,
Obtain respectively for further segment first frequency of objective group compare average, very first time interval compare average, first stroll about when
Length compares average；
The visiting customer of each customer in the objective group of important value customer is strolled about the frequency and first in the commercial operation place
The frequency compares average and subtracted each other, the time interval and very first time interval ratio of visiting customer last time to the commercial operation place
Subtract each other compared with average, the customer that visits strolls about time length ratio compared with average phase in the duration of strolling about in the commercial operation place with first every time
Subtract, if visiting customer strolls about, the frequency and first frequency in the commercial operation place are compared the difference maximum of average, then dividing should
Customer is important potential customer；If customer's last time of visiting is to the time interval in the commercial operation place and between the very first time
It is maximum every the difference for comparing average, then to divide the customer and keep customer to be important；If visiting customer every time in the commercial operation
Stroll about duration and the first time length ratio of strolling about it is maximum compared with the difference of average, then divide the customer for important development customer, will draw
Be divided into important potential customer and constitute the objective group of important potential customer, be divided into it is important keep that customer's composition is important to keep the objective group of customer,
It is divided into the objective group of important development customer composition important development customer.
9. the divided method of customer value according to claim 7, it is characterised in that：It is described from the general value customer
The step of general potential customer visitor group is marked off in objective group, the objective group of customer and General development customer visitor group is typically kept includes：
Take average value of the objective group of general value customer in the frequency, the average value in time interval and being averaged on duration of strolling about
Value, average value of the important value customer visitor group in the frequency, the average value in time interval and the average value strolled about on duration；
According to average value of the objective group of general value customer in the frequency, the average value in time interval and putting down on duration of strolling about
Average, average value of the important value customer visitor group in the frequency, the average value in time interval and being averaged on duration of strolling about
Value, to obtain and compare average, the second time interval for further segmenting second frequency of objective group and compare average, second stroll about respectively
Time length ratio is compared with average；
The visiting customer of each customer in the objective group of general value customer is strolled about the frequency and second in the commercial operation place
The frequency compares average and subtracted each other, the time interval and the second time interval ratio of visiting customer last time to the commercial operation place
Subtract each other compared with average, the customer that visits strolls about time length ratio compared with average phase in the duration of strolling about in the commercial operation place with second every time
Subtract, if visiting customer strolls about, the frequency and second frequency in the commercial operation place are compared the difference maximum of average, then dividing should
Customer is general potential customer；If customer's last time of visiting is to the time interval in the commercial operation place and between the second time
It is maximum every the difference for comparing average, then to divide the customer typically to keep customer；If visiting customer every time in the commercial operation
Stroll about duration and the second time length ratio of strolling about it is maximum compared with the difference of average, then divide the customer for General development customer, will draw
It is divided into general potential customer and constitutes the objective group of general potential customer, is divided into general customer's composition of keeping and typically keeps the objective group of customer,
It is divided into the objective group of General development customer composition General development customer.
10. a kind of subdivision system of customer value, it is characterised in that applied to commercial operation place, the customer value it is thin
Subsystem includes：
First processing module, for predetermined clusters algorithm to be applied into the predetermined amount of time collection, commercial operation of visiting
The parameter of strolling about of the customer in place, to set up the code of points of the parameter of strolling about；The parameter of strolling about is used to evaluate customer's valency
Value；
Second processing module, for based on the parameter of strolling about, it is determined that the dispersion degree of the parameter of strolling about；
Computing module, for the segmentation criteria according to customer and the dispersion degree of the parameter of strolling about, is calculated for being turned round and look to visiting
The customer that visitor is finely divided strolls about value index nember；
Division module, for strolling about value index nember to collected in the predetermined amount of time, commercial operation of visiting according to customer
Customer be finely divided.
11. a kind of electronic equipment, it is characterised in that the electronic equipment includes the thin of customer value as claimed in claim 10
Subsystem.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108090519A (en) * | 2018-01-08 | 2018-05-29 | 雅马哈发动机（厦门）信息系统有限公司 | A kind of customer's group technology and system based on after-sales service data |
| CN110570238A (en) * | 2019-08-26 | 2019-12-13 | 上海汇纳数据科技有限公司 | Method, system, medium, and electronic device for evaluating time value of customer |
| CN111625714A (en) * | 2020-04-29 | 2020-09-04 | 桂林电子科技大学 | Customer value evaluation method for Internet enterprises |
| CN112749895A (en) * | 2021-01-12 | 2021-05-04 | 深圳前海微众银行股份有限公司 | Guest group index management method, device, equipment and storage medium |
-
2017
- 2017-04-11 CN CN201710233453.2A patent/CN106952055A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108090519A (en) * | 2018-01-08 | 2018-05-29 | 雅马哈发动机（厦门）信息系统有限公司 | A kind of customer's group technology and system based on after-sales service data |
| CN110570238A (en) * | 2019-08-26 | 2019-12-13 | 上海汇纳数据科技有限公司 | Method, system, medium, and electronic device for evaluating time value of customer |
| CN111625714A (en) * | 2020-04-29 | 2020-09-04 | 桂林电子科技大学 | Customer value evaluation method for Internet enterprises |
| CN112749895A (en) * | 2021-01-12 | 2021-05-04 | 深圳前海微众银行股份有限公司 | Guest group index management method, device, equipment and storage medium |
| CN112749895B (en) * | 2021-01-12 | 2024-06-07 | 深圳前海微众银行股份有限公司 | Guest group index management method, device, equipment and storage medium |
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Application publication date: 20170714 |