CN109934638A - A method of according to the graphical customer portrait of user tag and early warning - Google Patents
A method of according to the graphical customer portrait of user tag and early warning Download PDFInfo
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- CN109934638A CN109934638A CN201910215439.9A CN201910215439A CN109934638A CN 109934638 A CN109934638 A CN 109934638A CN 201910215439 A CN201910215439 A CN 201910215439A CN 109934638 A CN109934638 A CN 109934638A
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Abstract
A method of according to the graphical customer portrait of user tag and early warning, include the following steps: Step 1: initial data is collected, by calculating generation client's label；Step 2: Automatic sieve selects the label number finally showed to each tag definition weight order；Step 3: showing corresponding figure according to tag feature；Step 4: threshold value is arranged to label, warning function is realized；Step 5: being connected with front end marketing system, abnormal label is marked；Label data is passed under Step 6:, according to tag location precision marketing client.Label of the present invention shows flexible form, figure auto-changing；Label has warning function, can remind respectively emphasis label；It is docked with Batch Processing, label influences customer sales activity；Precision marketing is sold in fact according to label；Member's life cycle is tracked and recorded, member is carried out and maintains.
Description
Technical field
The present invention relates to SAP BW, SAP BO and operation system field, tripartite's data are interacted, and show calculated result simultaneously
Prompt early warning, and in particular to a method of according to the graphical customer portrait of user tag and early warning.
Background technique
Customer portrait is extended out according to customer action data, it represents the consumptive characteristics of client, is tieed up to client
System and advertising campaign accuracy have important directive significance.Graphic exhibition can be vividly intuitive, understands visitor convenient for finding the problem
Family.Industry custom label shows format fixed single at present, cannot realize auto-changing figure according to data.And label
Subsequent applications are few, lack warning in special circumstances.
Summary of the invention
The present invention aiming at the shortcomings in the prior art, provides a kind of according to the graphical customer portrait of user tag and early warning
Method.The present invention can realize that difference shows according to different clients.Forewarning index is carried out to key customer.It is needed during realizing
Weight distribution is carried out to label, and threshold value is set.Figure shows pattern, is controlled by tag feature.Pattern exhibition quantity, by
Weights influence.
To achieve the above object, the invention adopts the following technical scheme:
A method of according to the graphical customer portrait of user tag and early warning, which comprises the steps of:
Step 1: collecting initial data, client's label is generated by calculating；
Step 2: Automatic sieve selects the label number finally showed to each tag definition weight order；
Step 3: showing corresponding figure according to tag feature；
Step 4: threshold value is arranged to label, warning function is realized；
Step 5: being connected with front end marketing system, abnormal label is marked；
Label data is passed under Step 6:, according to tag location precision marketing client.
To optimize above-mentioned technical proposal, the concrete measure taken further include:
Further, in the step 1, comprising the concrete steps that for client's label is generated:
The first step arranges and formulates client's tag directory and judgment rule, including special category consumption label, more industry situations identify, are more
Channel mark；The special category consumption label is according to gender, age and consumer lines by client segmentation；More industry situation marks
According to consumption scene by client segmentation；It is described to be identified client segmentation by all kinds of means according to APP use habit；
Second step, collect consumer record under customer data, including line, on line consumer record, parking record, APP usage record with
And client natural quality data itself；
Third step, data cleansing, by the identical various data summarizations of phone number at a client；
The customer data cleaned is generated corresponding label according to judgment rule by the 4th step.
Further, in the step 2, label weight distribution is comprised the concrete steps that:
The first step, the index of correlation for defining weight obtain corresponding label weight according to the label of client；
Second step, by label weight and judgment rule, be put into weight table, obtain label weight order；
When third step, each present customers label, label weight order is taken to show label according to self attributes.
Further, in the step 3, the label of trend type uses line chart, and various dimensions same class label is using mark
Cloud atlas is signed, special category consumption label shows shape according to the quantity of label decision figure.
Further, in the step 4, client is calculated and consumes mean value, by consumption data every month and mean value pair
Than, when being lower than mean value, pop-up warning；The consumption frequency of client's every month is counted, if the consumption frequency is less than preset threshold, is given
Give prompting.
Further, in the step 5, mark comprising the concrete steps that for abnormal label: according to client buy interval time,
Objective unit price, transaction stroke count and consumption number of days data, define specific gravity, are added the percentage obtained compared with preset value according to specific gravity
Compared with being then labeled as exception if more than preset value.
Further, in the step 6, specific label is matched according to advertising campaign, client's label is chosen by interface
Table filters out the client with the label according to the label substance chosen；According to Car license recognition to customer family, the visitor is sent automatically
The corresponding sales promotion information of special category consumption label of family label to rank the first.
The beneficial effects of the present invention are:
1, label shows flexible form, figure auto-changing；
2, label has warning function, can remind respectively emphasis label；
3, it is docked with Batch Processing, label influences customer sales activity；
4, precision marketing is realized according to label；
5, member's life cycle is tracked and recorded, member is carried out and maintains.
Detailed description of the invention
Fig. 1 is flow diagram of the invention.
Specific embodiment
In conjunction with the accompanying drawings, the present invention is further explained in detail.
The present invention provides a kind of according to the graphical customer portrait of user tag and the method for early warning, specifically includes that collection
The data such as the on-line off-line sales data of member, parking record, APP access, third party's offer；Carry out data cleansing processing, data
Standardization；It is calculated by model, generates label data；By extracting label data, graphic interface is generated；According to interface
Index shows user's forewarning index or marketing strategy；Lower biography client's index carries out precision marketing.Itself specific steps are as follows:
1, initial data is collected, generates client's label by calculating.
Generate comprising the concrete steps that for client's label:
The first step arranges and formulates client's tag directory and judgment rule.Citing: 1) special category consumes label: according to gender, year
Client is divided into face value goddess (such as gender female and post-consumer cosmetics, women's dress, women's bag or women's shoes), fashion by age and consumer lines
Numerous types such as peppery mother, light luxurious young man, silver hair tide-person；2) more industry situation marks: according to consumption scene, client is divided into and is only surpassed
The types such as city, general merchandise-supermarket, general merchandise-supermarket-spy's industry；3) it identifies: according to the habit for using APP, client being divided by all kinds of means
APP is accustomed to user, APP ordinary user, APP experience user and four seed type of non-APP user.
Second step collects consumer record under Client line, consumer record, parking record, APP usage record and client on line
Natural quality data itself.
Third step, data cleansing, by the identical various data summarizations of phone number at a people.
The customer data cleaned is generated corresponding label according to rule by the 4th step.
2, each tag definition weight order, Automatic sieve select the label number finally showed.
The displaying of label will fully demonstrate the characteristic of client itself, and label weight distribution comprises the concrete steps that:
The first step, the index of correlation for defining weight.Citing: client A, the age 35 years old, gender female, her corresponding label weight was 1
Face value goddess, the peppery mother of 2 fashion, 3 move cruel, 4 bread Western-style pastry controls, 5 literature and art models.
Label weight and judgment rule are put into weight table by second step, and sequence generates label weight order.
When third step, each member show label, label weight order is taken to show label according to self attributes.
3, according to tag feature, show corresponding figure.
The label line chart of trend type, various dimensions same class label label cloud atlas, the size of cloud atlas and color generation
The different meaning of table.Show shape according to the quantity of label decision figure.Tag feature is identified and distinguished between, mainly according to label
Type and label number, citing: special category consumes label, and a people has product that are multiple but being no more than 10 or more with it
Class consumes label, is showed by polygon, a label corresponds to a line.Member consumes brand, because consumption brand number is more, exhibition
Existing figure is label cloud atlas.The monthly consumption data of member, by line chart it can be seen that the propensity to consume.It is determined according to number of labels
Shape shape, the special category consumption label that citing polygon shows, if a people has 5 special category consumption labels with it,
Then show pentagon, similarly 6 special categories consume label, then show hexagon.
4, threshold value is arranged in label, has warning function.
If the high-end customer propensity to consume declines, pop-up warning.Or the Customer Shopping period changes, and does not arrive shop for a long time
Shopping, gives and reminds.Specific implementation: citing consumes mean value by the way that client is calculated, and every month, consumption data was with mean value
Comparison is lower than mean value, pop-up warning.The frequency is consumed according to client's every month counted, if three months consumption frequency < 1,
It then gives and reminds.
5, it is connected with front end marketing system, if customer's label is exception, then does not allow to participate in advertising campaign in active stage.
Specific connecting communication mode develops data-interface program, passes operation under definition.If client has abnormal label,
Do not allow then this can client's participation advertising campaign.Abnormal tag definition is judged according to following data: VIP purchase interval
Time (earliest exchange hour is more than or equal to 1 with exchange hour difference the latest and is less than or equal to 2)；Objective unit price > 20,000；Transaction stroke count >=
200；Consumption number of days >=100.Then these data definition specific gravity are added the percentage obtained according to specific gravity and are greater than 80%, then mark
It is denoted as exception.
6, in advertising campaign, according to tag location precision marketing client.
Specific precise positioning mode: citing three or eight goddesses section, the promotion of cosmetics, Auto-matching are marked with face value goddess
The client of label.Underwear promotes the client that Auto-matching has face value goddess and the peppery mother's label of fashion.Client can be chosen by interface
Label list filters out the client with the label according to the label substance chosen, then carries out marketing activity.According to Car license recognition
To customer family, the corresponding sales promotion information of special category consumption label of client label to rank the first is sent automatically.
It should be noted that the term of such as "upper", "lower", "left", "right", "front", "rear" cited in invention, also
Only being illustrated convenient for narration, rather than to limit the scope of the invention, relativeness is altered or modified, in nothing
Under essence change technology contents, when being also considered as the enforceable scope of the present invention.
The above is only the preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-described embodiment,
All technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
For those of ordinary skill, several improvements and modifications without departing from the principles of the present invention should be regarded as protection of the invention
Range.
Claims (7)
1. a kind of according to the graphical customer portrait of user tag and the method for early warning, which comprises the steps of:
Step 1: collecting initial data, client's label is generated by calculating；
Step 2: Automatic sieve selects the label number finally showed to each tag definition weight order；
Step 3: showing corresponding figure according to tag feature；
Step 4: threshold value is arranged to label, warning function is realized；
Step 5: being connected with front end marketing system, abnormal label is marked；
Label data is passed under Step 6:, according to tag location precision marketing client.
2. as described in claim 1 a kind of according to the graphical customer portrait of user tag and the method for early warning, it is characterised in that:
In the step 1, comprising the concrete steps that for client's label is generated:
The first step arranges and formulates client's tag directory and judgment rule, including special category consumption label, more industry situations identify, are more
Channel mark；The special category consumption label is according to gender, age and consumer lines by client segmentation；More industry situation marks
According to consumption scene by client segmentation；It is described to be identified client segmentation by all kinds of means according to APP use habit；
Second step, collect consumer record under customer data, including line, on line consumer record, parking record, APP usage record with
And client natural quality data itself；
Third step, data cleansing, by the identical various data summarizations of phone number at a client；
The customer data cleaned is generated corresponding label according to judgment rule by the 4th step.
3. as described in claim 1 a kind of according to the graphical customer portrait of user tag and the method for early warning, it is characterised in that:
In the step 2, label weight distribution is comprised the concrete steps that:
The first step, the index of correlation for defining weight obtain corresponding label weight according to the label of client；
Second step, by label weight and judgment rule, be put into weight table, obtain label weight order；
When third step, each present customers label, label weight order is taken to show label according to self attributes.
4. as described in claim 1 a kind of according to the graphical customer portrait of user tag and the method for early warning, it is characterised in that:
In the step 3, the label of trend type uses line chart, and various dimensions same class label uses label cloud atlas, and special category disappears
Expense label shows shape according to the quantity of label decision figure.
5. as described in claim 1 a kind of according to the graphical customer portrait of user tag and the method for early warning, it is characterised in that:
In the step 4, client is calculated and consumes mean value, consumption data every month and mean value are compared, when being lower than mean value, pop-up
Warning；The consumption frequency of client's every month is counted, if the consumption frequency is less than preset threshold, gives and reminds.
6. as described in claim 1 a kind of according to the graphical customer portrait of user tag and the method for early warning, it is characterised in that:
In the step 5, mark comprising the concrete steps that for abnormal label: according to client buy interval time, visitor's unit price, transaction stroke count and
Number of days data are consumed, specific gravity is defined, the percentage obtained is added compared with preset value according to specific gravity, is then marked if more than preset value
It is denoted as exception.
7. as described in claim 1 a kind of according to the graphical customer portrait of user tag and the method for early warning, it is characterised in that:
In the step 6, specific label is matched according to advertising campaign, client's label list is chosen by interface, according in the label chosen
Appearance filters out the client with the label；According to Car license recognition to customer family, ranking the first for client label is sent automatically
Special category consumes the corresponding sales promotion information of label.
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| CN110472114A (en) * | 2019-07-03 | 2019-11-19 | 平安科技（深圳）有限公司 | Abnormal data method for early warning, device, computer equipment and storage medium |
| CN112269933A (en) * | 2020-11-04 | 2021-01-26 | 杭州卡欧科技有限公司 | Potential customer identification method based on effective connection |
| CN113781166A (en) * | 2021-09-03 | 2021-12-10 | 珠海格力电器股份有限公司 | Message pushing method and device, electronic equipment and storage medium |
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Application publication date: 20190625 |
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