CN109389423A - A kind of marketing application method based on big data fusion business - Google Patents
A kind of marketing application method based on big data fusion business Download PDFInfo
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- CN109389423A CN109389423A CN201811093372.8A CN201811093372A CN109389423A CN 109389423 A CN109389423 A CN 109389423A CN 201811093372 A CN201811093372 A CN 201811093372A CN 109389423 A CN109389423 A CN 109389423A
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- G06Q—INFORMATION 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
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Abstract
The invention discloses a kind of marketing application methods based on big data fusion business, S1, first with internet, data with existing access, real-time data imputing system, file data access, message record data access, lteral data access, image data are accessed, overall data incorporates internet platform, and data are stored；S2 accurately analyzes marketing commodities using user behavior analysis method；S3, building marketing push platform, and real-time monitoring competes brand merchandise news, carries out product analysis；S4 constructs customer service management platform, carries out differentiated control to client；S5, to data analysis mining, analysis and prediction based on big data, market prediction and Analysis of Policy Making are supported, find new markets and new trend.This kind invention carries out analysis product by merging internet combination big data, makes full use of the network information, is integrally improved the effect of marketing, method is simple, is worthy to be popularized.
Description
Technical field
The present invention relates to information technology field, especially a kind of marketing application method based on big data fusion business.
Background technique
Big data (big data), refer to can not be captured within the scope of certain time with conventional software tool, manage and
The data acquisition system of processing is to need new tupe that could have stronger decision edge, see clearly discovery power and process optimization ability
Magnanimity, high growth rate and diversified information assets.Big data includes structuring, semi-structured and unstructured data, non-
Structural data increasingly becomes the major part of data.It is shown according to the survey report of IDC: 80% data all right and wrong in enterprise
Structural data, these data every year all exponentially-increased 60%.Big data is exactly the one kind of internet development to the stage now
Presentation or feature, it is not necessary that it is mythical it or the heart revered is kept to it, big as the technological innovation of representative using cloud computing
Under the setting off of curtain, these data that seems to be difficult to collect originally and use start to be easy to be utilized, each by each row
Industry is constantly brought forth new ideas, and big data gradually can create more values for the mankind.
Big data marketing refers to and acquires a large amount of behavioral data by internet, first help advertiser find out target by
Crowd, by this to advertisement launch content, the time, in the form of etc. prejudged and deployed, and be finally completed advertisement dispensing marketing
Journey.
Big data marketing, with popularizing for digital living space, explosive growth is just presented in global informational capacity.It is based on
It is the extensive rise of the new concepts such as big data, cloud computing and new normal form on this trend, they are undoubtedly just leading new one
The internet agitation of wheel.For above problem, herein it is proposed that a kind of marketing based on big data fusion business uses
Method.
Summary of the invention
The present invention provides a kind of marketing user based on big data fusion business for the deficiency in background technique
Method.
The present invention is to solve above-mentioned technical deficiency, a kind of to merge business based on big data using modified technical solution
Marketing application method, S1, first with internet, by data with existing access, real-time data imputing system, file data access, message
Record data access, lteral data access, image data accessed, overall data incorporate internet platform, and by data into
Row storage；
S2 accurately analyzes marketing commodities using user behavior analysis method；
S3, building marketing push platform, and real-time monitoring competes brand merchandise news, carries out product analysis；
S4 constructs customer service management platform, carries out differentiated control to client；
S5, to data analysis mining, analysis and prediction based on big data, market prediction and Analysis of Policy Making are supported, discovery
New markets and new trend.
As present invention further optimization mode, in step S2, acquisition user behavior record acquires user on website
All behaviors occurred；User is analyzed with carrying out various dimensions, is established and is divided with humanistic visions such as the region of user, gender, ages
Analyse dimension；The consumption information of user is adequately counted and recorded；The analysis of emphasis data is carried out to the behavior of user；
The data information of emphasis is cleaned, is converted, extracted and counted.
As present invention further optimization mode, in step S1, specific fused data and storage method include hereinafter, first
First data format is converted, establishes and is suitable for the format that non-relational database is stored；Then basis is splitted data into
Data and expert data store data using the strategy of centralized and distributed combination, when storage all data all into
Row backup；And corresponding data retrievad algorithm is established, quick-searching is carried out to data, the data retrievad algorithm uses catalogue
The mode that retrieval and search engine combine carries out.
As present invention further optimization mode, the data retrievad algorithm is specifically included: data directory is established, according to
Catalogue carries out preliminary search to data；Keyword is inputted in search engine, precise search is carried out to data；Search engine is according to one
Fixed mode finds matched data, and is ranked up according to the matching degree of data and keyword and feeds back to user.
As present invention further optimization mode, in step S4, during to client segmentation, can with disclosure and
Interaction records and analyzes, and concern and will click user and be converted into potential user, activates socialization assets value, and to potential user into
The anticipation of the multiple dimensions of row, customer service management platform can analyze the interaction content of active concern and click user, and association is latent
In user and member data, potential user and customer service data are associated with, screening target group do precision marketing, make traditional client relationship
Management combines socialization data, enriches the label of user's different dimensions, and dynamic updates consumer's life cycle data, keeps information
Effectively.
As present invention further optimization mode, in step S3, propagation trend point can be carried out to rival's product
Analysis, content characteristic analysis, interactive user analysis, the classification of positive negative-morality, the analysis of public praise category, product attribute distribution, can pass through
Monitoring grasps rival and propagates situation, and can plan with reference to industry mark post user, according to user voice choice of topics, also wraps
Include assessment microblogging matrix operational effect.
As present invention further optimization mode, in step S5, the data analysis mining includes off-line analysis, quasi- real
When analysis, in real time analysis, picture recognition, speech recognition, machine learning.
The beneficial effects obtained by the present invention are as follows being: this kind invention carries out analysis production by merging internet combination big data
Product make full use of the network information, carry out statistics centralized processing, and user more intuitive can detect the behavioral statistics of user
Record, is convenient for analyzing, while can analyze rival, is integrally improved the effect of marketing, and method is simple, is worth
It promotes.
Specific embodiment
Below in conjunction in the embodiment of the present invention, technical solution in the embodiment of the present invention is clearly and completely retouched
It states, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.Based on the present invention
In embodiment, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
The present invention provides a kind of technical solution: a kind of marketing application method based on big data fusion business, S1 are sharp first
With internet, data with existing access, real-time data imputing system, file data access, message record data access, lteral data are connect
Enter, image data is accessed, overall data incorporates internet platform, and data is stored；
S2 accurately analyzes marketing commodities using user behavior analysis method；
S3, building marketing push platform, and real-time monitoring competes brand merchandise news, carries out product analysis；
S4 constructs customer service management platform, carries out differentiated control to client；
S5, to data analysis mining, analysis and prediction based on big data, market prediction and Analysis of Policy Making are supported, discovery
New markets and new trend.
In step S2, acquisition user behavior record, all behaviors that acquisition user occurs on website；User is carried out more
It dimensionally analyzes, establishes analysis dimension with humanistic visions such as the region of user, gender, ages；The consumption information of user is carried out
Adequately counts and recorded；The analysis of emphasis data is carried out to the behavior of user；The data information of emphasis is cleaned, is turned
Change, extract and counts.
In step S1, specific fused data and storage method include hereinafter, converting first to data format, and foundation is suitable
The format stored for non-relational database；Then basic data and expert data are splitted data into, using centralization and
The strategy that distribution combines stores data, and when storage, all data were all backed up；And establish corresponding data inspection
Rope algorithm carries out quick-searching to data, and the data retrievad algorithm is in such a way that catalogue is retrieved and search engine combines
It carries out.
The data retrievad algorithm specifically includes: establishing data directory, carries out preliminary search to data according to catalogue；It is searching
Index holds up input keyword, carries out precise search to data；Search engine finds matched data, and root according to certain mode
It is ranked up according to the matching degree of data and keyword and feeds back to user.
In step S4, during to client segmentation, it can be recorded and analyzed with disclosure and interaction, concern and click are used
Family is converted into potential user, activates socialization assets value, and the anticipation of multiple dimensions, customer service pipe are carried out to potential user
Platform can analyze the interaction content of active concern and click user, is associated with potential user and member data, is associated with potential use
Family and customer service data, screening target group do precision marketing, make traditional client relation management combination socialization data, enrich user
The label of different dimensions, dynamic update consumer's life cycle data, keep information effective.
In step S3, propagation trend analysis, content characteristic analysis, interactive user point can be carried out to rival's product
Analysis, the classification of positive negative-morality, the analysis of public praise category, product attribute distribution can grasp rival by monitoring and propagate situation, and
It can plan with reference to industry mark post user, further include assessment microblogging matrix operational effect according to user voice choice of topics.
In step S5, the data analysis mining includes off-line analysis, quasi real time analysis, in real time analysis, picture recognition, language
Sound identification, machine learning.
Data form of the invention is as follows: table 1
。
Traditional marketing method table is as follows: table 2
。
It to sum up states, will become apparent from the present invention by Tables 1 and 2 has biggish marketing advantage, this kind invention is mutual by fusion
Networking combines big data to carry out analysis product, makes full use of the network information, carries out statistics centralized processing, and user can be more straight
The behavioral statistics record for detecting user seen, is convenient for analyzing, while can analyze rival, be integrally improved
The effect of marketing, method is simple, is worthy to be popularized.
The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention, for this field skill
For art personnel, it is clear that invention is not limited to the details of the above exemplary embodiments, and without departing substantially from spirit of the invention or
In the case where essential characteristic, the present invention can be realized in other specific forms.Therefore, in all respects, should all incite somebody to action
Embodiment regards exemplary as, and is non-limiting, the scope of the present invention by appended claims rather than on state
Bright restriction, it is intended that including all changes that fall within the meaning and scope of the equivalent elements of the claims in the present invention
It is interior.
In addition, it should be understood that although this specification is described in terms of embodiments, but not each embodiment is only wrapped
Containing an independent technical solution, this description of the specification is merely for the sake of clarity, and those skilled in the art should
It considers the specification as a whole, the technical solutions in the various embodiments may also be suitably combined, forms those skilled in the art
The other embodiments being understood that.
Claims (7)
1. a kind of marketing application method based on big data fusion business, which is characterized in that S1 will first with internet
Have data access, real-time data imputing system, file data access, message record data access, lteral data access, image data into
Row access, overall data incorporates internet platform, and data are stored；
S2 accurately analyzes marketing commodities using user behavior analysis method；
S3, building marketing push platform, and real-time monitoring competes brand merchandise news, carries out product analysis；
S4 constructs customer service management platform, carries out differentiated control to client；
S5, to data analysis mining, analysis and prediction based on big data, market prediction and Analysis of Policy Making are supported, find new city
Field and new trend.
2. a kind of marketing application method based on big data fusion business according to claim 1, which is characterized in that step
In S2, acquisition user behavior record, all behaviors that acquisition user occurs on website；User is analyzed with carrying out various dimensions,
Analysis dimension is established with humanistic visions such as the region of user, gender, ages；The consumption information of user adequately count simultaneously
It is recorded；The analysis of emphasis data is carried out to the behavior of user；The data information of emphasis is cleaned, is converted, extracted and united
Meter.
3. a kind of marketing application method based on big data fusion business according to claim 1, which is characterized in that step
In S1, specific fused data and storage method include hereinafter, converting first to data format, and foundation is suitable for non-relationship number
The format stored according to library；Then basic data and expert data are splitted data into, using centralized and distributed combination
Strategy stores data, and when storage, all data were all backed up；And corresponding data retrievad algorithm is established, to data
Quick-searching is carried out, the data retrievad algorithm carries out in such a way that catalogue is retrieved and search engine combines.
4. a kind of marketing application method based on big data fusion business according to claim 3, which is characterized in that described
Data retrievad algorithm specifically includes: establishing data directory, carries out preliminary search to data according to catalogue；It inputs and closes in search engine
Keyword carries out precise search to data；Search engine finds matched data according to certain mode, and according to data and key
The matching degree of word, which is ranked up, feeds back to user.
5. a kind of marketing application method based on big data fusion business according to claim 1, which is characterized in that step
In S4, during to client segmentation, can with disclosure and interaction record and analyze, will concern and click user be converted into it is potential
User activates socialization assets value, and carries out the anticipation of multiple dimensions to potential user, and customer service management platform can divide
The active concern of analysis and the interaction content for clicking user, are associated with potential user and member data, association potential user and customer service data,
Screening target group do precision marketing, make traditional client relation management combination socialization data, enrich the mark of user's different dimensions
Label, dynamic update consumer's life cycle data, keep information effective.
6. a kind of marketing application method based on big data fusion business according to claim 1, which is characterized in that step
In S3, propagation trend analysis, content characteristic analysis, interactive user analysis, positive negative-morality point can be carried out to rival's product
Class, the analysis of public praise category, product attribute distribution can grasp rival by monitoring and propagate situation, and can refer to industry
Mark post user planning further includes assessment microblogging matrix operational effect according to user voice choice of topics.
7. a kind of marketing application method based on big data fusion business according to claim 1, which is characterized in that step
In S5, the data analysis mining includes off-line analysis, quasi real time analysis, in real time analysis, picture recognition, speech recognition, machine
Study.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110191183A (en) * | 2019-05-31 | 2019-08-30 | 深圳市医信科技有限公司 | Accurate intelligent method for pushing, system, device and computer readable storage medium |
| CN110213283A (en) * | 2019-06-11 | 2019-09-06 | 山东管理学院 | A kind of trade economy information interconnected network transmission method |
| CN110704402A (en) * | 2019-10-18 | 2020-01-17 | 广州趣丸网络科技有限公司 | Data analysis system, method and equipment for multiple data sources |
| CN111598648A (en) * | 2020-04-16 | 2020-08-28 | 上海源慧信息科技股份有限公司 | Full-link online marketing method based on fast-moving industrial commodities |
| CN112163156A (en) * | 2020-10-06 | 2021-01-01 | 翁海坤 | Big data processing method based on artificial intelligence and cloud computing and cloud service center |
| CN112258226A (en) * | 2020-10-20 | 2021-01-22 | 中科讯安(深圳)科技有限公司 | Automatic new media pushing precise marketing method based on big data analysis information |
| CN112270573A (en) * | 2020-11-04 | 2021-01-26 | 广州市原象信息科技有限公司 | Consumption trend analysis method for service industry based on T-4C analysis framework |
| CN113643050A (en) * | 2021-08-30 | 2021-11-12 | 南方电网数字电网研究院有限公司 | Power grid data marketing management system |
| CN113763021A (en) * | 2021-02-05 | 2021-12-07 | 南京开为网络科技有限公司 | Accurate marketing system |
| CN114418651A (en) * | 2022-01-26 | 2022-04-29 | 北京数智新天信息技术咨询有限公司 | Intelligent popularization decision-making method and device and electronic equipment |
| CN117350791A (en) * | 2023-12-04 | 2024-01-05 | 北京六一六信息技术有限公司 | Marketing campaign template customization method and system based on personalized popularization |
-
2018
- 2018-09-19 CN CN201811093372.8A patent/CN109389423A/en active Pending
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110191183A (en) * | 2019-05-31 | 2019-08-30 | 深圳市医信科技有限公司 | Accurate intelligent method for pushing, system, device and computer readable storage medium |
| CN110213283A (en) * | 2019-06-11 | 2019-09-06 | 山东管理学院 | A kind of trade economy information interconnected network transmission method |
| CN110704402A (en) * | 2019-10-18 | 2020-01-17 | 广州趣丸网络科技有限公司 | Data analysis system, method and equipment for multiple data sources |
| CN111598648A (en) * | 2020-04-16 | 2020-08-28 | 上海源慧信息科技股份有限公司 | Full-link online marketing method based on fast-moving industrial commodities |
| CN112163156A (en) * | 2020-10-06 | 2021-01-01 | 翁海坤 | Big data processing method based on artificial intelligence and cloud computing and cloud service center |
| CN112258226A (en) * | 2020-10-20 | 2021-01-22 | 中科讯安(深圳)科技有限公司 | Automatic new media pushing precise marketing method based on big data analysis information |
| CN112270573A (en) * | 2020-11-04 | 2021-01-26 | 广州市原象信息科技有限公司 | Consumption trend analysis method for service industry based on T-4C analysis framework |
| CN113763021A (en) * | 2021-02-05 | 2021-12-07 | 南京开为网络科技有限公司 | Accurate marketing system |
| CN113763021B (en) * | 2021-02-05 | 2024-03-22 | 南京开为网络科技有限公司 | Accurate marketing system |
| CN113643050A (en) * | 2021-08-30 | 2021-11-12 | 南方电网数字电网研究院有限公司 | Power grid data marketing management system |
| CN114418651A (en) * | 2022-01-26 | 2022-04-29 | 北京数智新天信息技术咨询有限公司 | Intelligent popularization decision-making method and device and electronic equipment |
| CN117350791A (en) * | 2023-12-04 | 2024-01-05 | 北京六一六信息技术有限公司 | Marketing campaign template customization method and system based on personalized popularization |
| CN117350791B (en) * | 2023-12-04 | 2024-02-06 | 北京六一六信息技术有限公司 | Marketing campaign template customization method and system based on personalized popularization |
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Application publication date: 20190226 |