CN105787765A - Prize drawing method and system for analyzing user investment behavior data - Google Patents

Prize drawing method and system for analyzing user investment behavior data Download PDF

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Publication number
CN105787765A
CN105787765A CN201610116445.5A CN201610116445A CN105787765A CN 105787765 A CN105787765 A CN 105787765A CN 201610116445 A CN201610116445 A CN 201610116445A CN 105787765 A CN105787765 A CN 105787765A
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CN
China
Prior art keywords
user
prize
behavioral data
investment
customer investment
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Pending
Application number
CN201610116445.5A
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Chinese (zh)
Inventor
唐磊
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Shanghai Baoshuo Technology Co Ltd
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Shanghai Baoshuo Technology Co Ltd
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Priority to CN201610116445.5A priority Critical patent/CN105787765A/en
Publication of CN105787765A publication Critical patent/CN105787765A/en
Pending legal-status Critical Current

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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
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • 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
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0212Chance discounts or incentives
    • 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
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0213Consumer transaction fees

Abstract

The invention discloses a prize drawing method and system for analyzing user investment behavior data. The method comprises the steps of: collecting user investment behavior data, and carrying out hierarchical division on a user according to an analysis result; and distributing the user to participate in available prize drawing activities according to the hierarchical division of the user. The system comprises a user investment behavior data collection unit used for collecting the user investment behavior data; a user investment behavior data analysis unit used for analyzing the user investment behavior data and carrying out hierarchical division on the user according to the analysis result; and a user prize drawing activity distribution unit used for distributing the user to participate in available prize drawing activities according to the hierarchical division of the user. The prize drawing method and system for analyzing user investment behavior data are more reasonable and targeted, and the marketing efficiency is improved.

Description

A kind of lottery drawing method analyzing customer investment behavioral data and system
Technical field
The present invention relates to investment technology field, the Internet, particularly to a kind of lottery drawing method analyzing customer investment behavioral data and system.
Background technology
Fast development recently as the Internet finance, occur in that various financial platform, Internet technology is applied to financial field by this kind of financial platform, with the Internet for medium, the known property utilizing the Internet attracts fund to invest miscellaneous service or project from the public, and this is to promoting that non-governmental capital participates in national economic development and has quite positive effect.
But, the Internet finance is ripe not enough, the marketing activity of the various financial platform occurred at present is uneven, different user's prize drawings do not had good specific aim, poor user experience, user can not therefrom well be got a profit, and can not quickly meet the demand of user simultaneously, marketing efficiency is low, attracts fund few.
Summary of the invention
The present invention is directed to above-mentioned problems of the prior art, a kind of lottery drawing method analyzing customer investment behavioral data and system are proposed, more reasonable, also more targeted, raising marketing efficiency that can be highly efficient, thus promoting that the Internet finance more develops rapidly, meets user's request faster, user can be allowed to realize better profit in investment, and then attract more fund.
For solving above-mentioned technical problem, the present invention is achieved through the following technical solutions:
The present invention provides a kind of lottery drawing method analyzing customer investment behavioral data, and it comprises the following steps:
S11: gather customer investment behavioral data;
S12: analyze customer investment behavioral data, carries out distinguishing hierarchy according to analyzing result to user;
S13: the sweepstake currently can participated according to the distinguishing hierarchy distributing user of user.
It is preferred that described step S11 specifically includes:
S111: adopt event trigger mechanism to gather customer investment behavioral data, Real-time Collection customer investment behavioral data;
S112: adopting batch processing mechanism that customer investment behavioral data is added up, the customer investment behavioral data collected is carried out statistical induction by timing.
It is preferred that described step S12 is particularly as follows: analyze customer investment behavioral data, obtains user's liveness, according to described user's liveness, user is carried out distinguishing hierarchy.
It is preferred that the computational methods of the described user's liveness in described step S12 are:
The average investment amount of money of user's liveness=monthly/investment coefficient * invests the recharge amount of accounting coefficient+monthly/supplement with money coefficient * and supplements the Withdrawal Amount/coefficient * that withdraws deposit of accounting coefficient-monthly with money and withdraw deposit accounting coefficient;
Wherein said investment accounting coefficient, described in supplement accounting coefficient with money and described accounting coefficient three's sum of withdrawing deposit is 1.The accounting coefficient of three can adjust at any time, and marketing personnel can according to different times, and the difference of the focus of different situations is done and adjusted timely, thus reaching different marketing purposes, solves the different situations that different times platform occurs.
It is preferred that described investment coefficient, described in supplement with money coefficient and described in the withdraw deposit computational methods of coefficient be:
The natural law of investment coefficient=monthly invest total amount/monthly/monthly invest total number of persons/level parameter;
Supplement the platform of coefficient=monthly with money and supplement the natural law of total amount/monthly/monthly supplement total number of persons/level parameter with money with money;
The platform of coefficient=monthly of withdrawing deposit is withdrawn deposit the natural law/total number of persons/level parameter of monthly withdrawing deposit of total amount/monthly;
Wherein, level parameter is according to analyzing the level quantity that user is divided by result.
It is preferred that described step S13 specifically includes:
S131: utilize the sweepstake that BFS method screening user currently can participate in;
S132: utilize greedy algorithm to distribute the sweepstake currently can participated in corresponding user.
It is preferred that also include after described step S13:
S14: dynamic balancing is drawn a lottery, and rate of winning prize and prize quantity are dynamically adjusted, further, described dynamic balancing is drawn a lottery as utilizing dynamic programming algorithm that rate of winning prize is dynamically adjusted.
It is preferred that also include after described step S14:
S15: automatically provide prize, when described prize is virtual prize, provides prize automatically to user;When described prize is prize in kind, record prize information and the contact method of user.
The present invention also provides for a kind of lottery system analyzing customer investment behavioral data, comprising:
Customer investment behavioral data collecting unit, is used for gathering customer investment behavioral data;
Customer investment behavioral data analytic unit, is used for analyzing customer investment behavioral data, according to analyzing result, user is carried out distinguishing hierarchy;
User's sweepstake allocation units, for the sweepstake that the distinguishing hierarchy distributing user according to user currently can be participated in.
It is preferred that lottery system also includes:
Dynamic balancing lottery elements, for dynamically adjusting rate of winning prize and prize quantity.
It is preferred that lottery system also includes:
The automatic issuing unit of prize, for the automatic granting of prize, when described prize is virtual prize, provides prize automatically to user;When described prize is prize in kind, record prize information and the contact method of user.
Compared to prior art, the invention have the advantages that
(1) lottery drawing method of analysis customer investment behavioral data provided by the invention and system, user has been carried out distinguishing hierarchy by the investment behavior according to user, specific aim is higher, according to different distinguishing hierarchy, different sweepstakes is set, marketing activity is allowed to push to more accurately specify user, marketing efficiency is higher, and Consumer's Experience is better;
(2) lottery drawing method of the present invention and system are more reasonable, and processing speed is fast, it is possible to meet the demand of user faster, it is possible to use family realizes better getting a profit in investment, attracts more fund.
Certainly, the arbitrary product implementing the present invention it is not absolutely required to reach all the above advantage simultaneously.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, embodiments of the present invention are described further:
Fig. 1 is the flow chart of the lottery drawing method analyzing customer investment behavioral data of embodiments of the invention 1;
Fig. 2 is the flow chart of the lottery drawing method analyzing customer investment behavioral data of embodiments of the invention 2;
Fig. 3 is the schematic diagram of the lottery system analyzing customer investment behavioral data of embodiments of the invention 3;
Fig. 4 is the schematic diagram of the lottery system analyzing customer investment behavioral data of embodiments of the invention 4.
Label declaration: 1-customer investment behavioral data collecting unit, 2-customer investment behavioral data analytic unit, 3-user's sweepstake allocation units, 4-dynamic balancing lottery elements, the automatic issuing unit of 5-prize.
Detailed description of the invention
Below embodiments of the invention being elaborated, the present embodiment is carried out under premised on technical solution of the present invention, gives detailed embodiment and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
Embodiment 1:
In conjunction with Fig. 1, the lottery drawing method analyzing customer investment behavioral data of the present invention is described in detail by the present embodiment, is illustrated in figure 1 its flow chart, and it comprises the following steps:
S11: gather customer investment behavioral data, namely collects the investment data of the financial products such as customer investment finance product, credits, option;Wherein, investment data includes: investment amount, recharge amount and Withdrawal Amount etc.;
S12: analyze customer investment behavioral data, carries out distinguishing hierarchy according to analyzing result to user;
S13: the sweepstake currently can participated according to the distinguishing hierarchy distributing user of user, allows marketing activity push the user specified more accurately to, filters prize drawing prize.
Wherein, step S11 specifically includes:
S111: adopt event trigger mechanism to gather customer investment behavioral data, Real-time Collection customer investment operation behavior, by monitoring users behavior, thus collecting user behavior, filter customer investment operation behavior, then recorded data base or preserve with other form;
S112: adopt batch processing mechanism that customer investment behavioral data is added up, by timed task pattern, the customer investment behavioral data collected is carried out statistical induction, then recorded data base or preserve otherwise.
Step S12, particularly as follows: analyze customer investment behavioral data, obtains user's liveness, according to user's liveness, user is carried out distinguishing hierarchy, and the computational methods of user's liveness are:
The average investment amount of money of user's liveness=monthly/investment coefficient * invests the recharge amount of accounting coefficient+monthly/supplement with money coefficient * and supplements the Withdrawal Amount/coefficient * that withdraws deposit of accounting coefficient-monthly with money and withdraw deposit accounting coefficient;
Wherein, investment coefficient, supplementing coefficient with money and coefficient of withdrawing deposit can according to the practical situation dynamic calculation of platform out, coefficient range is: 100~9999999, and it can calculate by the following method:
The natural law of investment coefficient=monthly invest total amount/monthly/monthly invest total number of persons/level parameter
Supplement the platform of coefficient=monthly with money and supplement the natural law of total amount/monthly/monthly supplement total number of persons/level parameter with money with money
The platform of coefficient=monthly of withdrawing deposit is withdrawn deposit the natural law/total number of persons/level parameter of monthly withdrawing deposit of total amount/monthly;
Wherein, level parameter default value is 1, and this parameter can be set on management backstage, and level parameter effective range was 0.00~999999.99 (comprising decimal), generally, user can be divided into 5-20 level.
Investment accounting coefficient, supplement accounting coefficient with money, accounting of withdrawing deposit coefficient three's sum is 1, setting can be modified, marketing personnel can according under different times different situations, focus difference is done and is adjusted timely, thus reaching different marketing purposes, solve the different situations that the platform of different times occurs.
Step S13 specifically includes:
S131: utilize the sweepstake that BFS method screening user currently can participate in, for instance the ranking results according to investment total amount, find the ranking of user, carry out, according to ranking, the sweepstake that distributing user can be participated in;
S132: utilize greedy algorithm to distribute the sweepstake currently can participated in corresponding user, analyze prize drawing and the prize-winning situation of user, allow cross this award in user cannot again in the prize of identical type, reached to reward balance, prize will not have been allowed to concentrate and be issued to same user.
Embodiment 2:
The present embodiment is on the basis of embodiment 1, adds again step S14 and step S15 after step s 13, its flow chart as in figure 2 it is shown, particularly as follows:
S14: dynamic balancing is drawn a lottery, and rate of winning prize and prize quantity is dynamically adjusted, it is ensured that during sweepstake, occur without situations below: (1) activity does not terminate, and prize distributes;(2) activity terminates, and prize does not distribute.
It is specifically as follows: adopt dynamic programming algorithm, according to default prize quantity, sweepstake time span, prize drawing number of times, current active is occurred to carry out time span, the dynamic rate of winning prize adjusting prize, to ensure during sweepstake, in the sweepstake being assigned to every day of all prizes balance, it is prevented that prize is exhausted in advance.Such as: prize quantity is 10, sweepstake time length 10 days, default rate of winning prize is 1%.Its actual rate of winning prize computational methods are: (1), if the situation that prize-winning quantity is 0, actual rate of winning prize is 1%;(2) if prize-winning quantity is not 0, carry out calculating: prize-winning interval=prize quantity (individual)/sweepstake time length (second);Get the winning number in a bond the intermediate period * prize-winning prize quantity of weighted time=;If got the winning number in a bond, weighted time >=sweepstake carries out the time, and actual rate of winning prize is zero, if the < sweepstake of intermediate weights time carries out the time, and the prize-winning prize quantity/number of times of having got the winning number in a bond of actual rate of winning prize=.
S15: automatically provide prize, when described prize is virtual prize, notify to award prizes module, automatically prize is provided to user, module of awarding prizes includes: the request with third-party platform is awarded prizes, award prizes situation, inquiry of synchronization is awarded prizes situation, and third-party platform comprises the virtual products such as telephone expenses, bank, flow, various some cards;When described prize is prize in kind, recording prize information and the contact method of user, notice is awarded prizes and is partly manually provided.
Embodiment 3:
In conjunction with Fig. 3, the lottery system analyzing customer investment behavioral data of the present invention is described in detail, it is for realizing the lottery drawing method in embodiment 1, its structural representation is as shown in Figure 3, comprising: customer investment behavioral data collecting unit 1, customer investment behavioral data analytic unit 2, user's sweepstake allocation units 3.
Wherein, customer investment behavioral data collecting unit 1 is used for gathering customer investment behavioral data;
Customer investment behavioral data analytic unit 2 is used for analyzing customer investment behavioral data, according to analyzing result, user is carried out distinguishing hierarchy;
For the sweepstake that sweepstake allocation units 3 currently can be participated in for the distinguishing hierarchy distributing user according to user.
Embodiment 4:
The present embodiment is to add dynamic balancing lottery elements 4 and the automatic issuing unit 5 of prize on the basis of embodiment 3, and it is that its structural representation is as shown in Figure 4 for realizing the lottery drawing method in embodiment 2.
Wherein, dynamic balancing lottery elements 4 is for dynamically adjusting rate of winning prize and prize quantity;
The automatic issuing unit 5 of prize is for the automatic granting of prize, when prize is virtual prize, automatically provides prize to user;When prize is prize in kind, record prize information and the contact method of user.
Disclosed herein is only the preferred embodiments of the present invention, and these embodiments are chosen and specifically described to this specification, is to explain principles of the invention and practical application better, is not limitation of the invention.The modifications and variations that any those skilled in the art do within the scope of description, all should drop in the scope that the present invention protects.

Claims (11)

1. the lottery drawing method analyzing customer investment behavioral data, it is characterised in that comprise the following steps:
S11: gather customer investment behavioral data;
S12: analyze customer investment behavioral data, carries out distinguishing hierarchy according to analyzing result to user;
S13: the sweepstake currently can participated according to the distinguishing hierarchy distributing user of user.
2. the lottery drawing method of analysis customer investment behavioral data according to claim 1, it is characterised in that described step S11 specifically includes:
S111: adopt event trigger mechanism to gather customer investment behavioral data, Real-time Collection customer investment behavioral data;
S112: adopting batch processing mechanism that customer investment behavioral data is added up, the customer investment behavioral data collected is carried out statistical induction by timing.
3. the lottery drawing method of analysis customer investment behavioral data according to claim 1, it is characterised in that described step S12, particularly as follows: analyze customer investment behavioral data, obtains user's liveness, according to described user's liveness, user carried out distinguishing hierarchy.
4. the lottery drawing method of analysis customer investment behavioral data according to claim 3, it is characterised in that the computational methods of the described user's liveness in described step S12 are:
The average investment amount of money of user's liveness=monthly/investment coefficient * invests the recharge amount of accounting coefficient+monthly/supplement with money coefficient * and supplements the Withdrawal Amount/coefficient * that withdraws deposit of accounting coefficient-monthly with money and withdraw deposit accounting coefficient;
Wherein said investment accounting coefficient, described in supplement accounting coefficient with money and described accounting coefficient three's sum of withdrawing deposit is 1.
5. the lottery drawing method of analysis customer investment behavioral data according to claim 4, it is characterised in that described investment coefficient, described in supplement with money coefficient and described in the withdraw deposit computational methods of coefficient be:
The natural law of investment coefficient=monthly invest total amount/monthly/monthly invest total number of persons/level parameter;
Supplement the platform of coefficient=monthly with money and supplement the natural law of total amount/monthly/monthly supplement total number of persons/level parameter with money with money;
The platform of coefficient=monthly of withdrawing deposit is withdrawn deposit the natural law/total number of persons/level parameter of monthly withdrawing deposit of total amount/monthly;
Wherein, level parameter is according to analyzing the level quantity that user is divided by result.
6. the lottery drawing method of analysis customer investment behavioral data according to claim 1, it is characterised in that described step S13 specifically includes:
S131: utilize the sweepstake that BFS method screening user currently can participate in;
S132: utilize greedy algorithm to distribute the sweepstake currently can participated in corresponding user.
7. the lottery drawing method of analysis customer investment behavioral data according to claim 1, it is characterised in that also include after described step S13:
S14: dynamic balancing is drawn a lottery, and rate of winning prize and prize quantity are dynamically adjusted, further,
Described dynamic balancing is drawn a lottery as utilizing dynamic programming algorithm that rate of winning prize is dynamically adjusted.
8. the lottery drawing method of analysis customer investment behavioral data according to claim 7, it is characterised in that also include after described step S14:
S15: automatically provide prize, when described prize is virtual prize, provides prize automatically to user;When described prize is prize in kind, record prize information and the contact method of user.
9. the lottery system analyzing customer investment behavioral data, it is characterised in that including:
Customer investment behavioral data collecting unit, is used for gathering customer investment behavioral data;
Customer investment behavioral data analytic unit, is used for analyzing customer investment behavioral data, according to analyzing result, user is carried out distinguishing hierarchy;
User's sweepstake allocation units, for the sweepstake that the distinguishing hierarchy distributing user according to user currently can be participated in.
10. the lottery system of analysis customer investment behavioral data according to claim 9, it is characterised in that also include:
Dynamic balancing lottery elements, for dynamically adjusting rate of winning prize and prize quantity.
11. the lottery system of analysis customer investment behavioral data according to claim 10, it is characterised in that also include:
The automatic issuing unit of prize, for the automatic granting of prize, when described prize is virtual prize, provides prize automatically to user;When described prize is prize in kind, record prize information and the contact method of user.
CN201610116445.5A 2016-03-02 2016-03-02 Prize drawing method and system for analyzing user investment behavior data Pending CN105787765A (en)

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Application Number Priority Date Filing Date Title
CN201610116445.5A CN105787765A (en) 2016-03-02 2016-03-02 Prize drawing method and system for analyzing user investment behavior data

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Application Number Priority Date Filing Date Title
CN201610116445.5A CN105787765A (en) 2016-03-02 2016-03-02 Prize drawing method and system for analyzing user investment behavior data

Publications (1)

Publication Number Publication Date
CN105787765A true CN105787765A (en) 2016-07-20

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107742253A (en) * 2017-09-29 2018-02-27 搜易贷(北京)金融信息服务有限公司 A kind of automation method for running based on user behavior analysis
CN109285015A (en) * 2017-07-19 2019-01-29 阿里巴巴集团控股有限公司 A kind of distribution method and system of virtual resource
CN109859049A (en) * 2019-01-04 2019-06-07 上海上湖信息技术有限公司 A kind of complimentary awards distribution method and system based on internet financial platform
CN117172842A (en) * 2023-09-07 2023-12-05 银联数据服务有限公司 Lottery configuration method, lottery configuration device, lottery configuration equipment and storage medium

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109285015A (en) * 2017-07-19 2019-01-29 阿里巴巴集团控股有限公司 A kind of distribution method and system of virtual resource
CN109285015B (en) * 2017-07-19 2022-02-25 阿里巴巴集团控股有限公司 Virtual resource allocation method and system
CN107742253A (en) * 2017-09-29 2018-02-27 搜易贷(北京)金融信息服务有限公司 A kind of automation method for running based on user behavior analysis
CN109859049A (en) * 2019-01-04 2019-06-07 上海上湖信息技术有限公司 A kind of complimentary awards distribution method and system based on internet financial platform
CN117172842A (en) * 2023-09-07 2023-12-05 银联数据服务有限公司 Lottery configuration method, lottery configuration device, lottery configuration equipment and storage medium

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