CN112418932B - Marketing information pushing method and device based on user tag - Google Patents
Marketing information pushing method and device based on user tag Download PDFInfo
- Publication number
- CN112418932B CN112418932B CN202011329214.5A CN202011329214A CN112418932B CN 112418932 B CN112418932 B CN 112418932B CN 202011329214 A CN202011329214 A CN 202011329214A CN 112418932 B CN112418932 B CN 112418932B
- Authority
- CN
- China
- Prior art keywords
- marketing
- user
- target
- labels
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
- G06Q30/0256—User search
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/335—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/38—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/381—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using identifiers, e.g. barcodes, RFIDs
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Finance (AREA)
- Data Mining & Analysis (AREA)
- Strategic Management (AREA)
- General Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Library & Information Science (AREA)
- Game Theory and Decision Science (AREA)
- Marketing (AREA)
- Economics (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a marketing information pushing method and device based on user labels, wherein the method comprises the following steps: acquiring and counting historical data of information pages of goods to be pushed, and generating a client behavior thermodynamic diagram of the goods to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of the occurrence of specific behaviors of a customer in each flow unit of a commodity information page to be pushed; analyzing the thermodynamic diagram of the client behavior to obtain target marketing information aiming at the commodity information page to be pushed; screening user labels related to a target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user labels; determining a target client according to the user labels related to the target marketing plan; within the target marketing budget, marketing information is pushed to the target customer. Based on the user labels, target clients in each marketing process are accurately determined, and marketing information is pushed to the target clients to promote commodity transaction completion, so that influence of the marketing information on the completion of the marketing process is improved.
Description
Technical Field
The invention relates to the technical field of internet advertisements, in particular to a marketing information pushing method and device based on user labels.
Background
Marketing, which is a process of finding or exploring the needs of consumers to let the consumers know the commodity and then purchase the commodity, even acquire commodity evaluation, and comprises the following steps: recognition of opportunities, development of new merchandise, and execution of orders. Currently, with the development of communication technology, market economy is gradually diversified, and consumers are more diversified. In order to improve commodity sales or business volume, merchants actively search target clients in different processes in the marketing process by putting advertisements, sending marketing messages, manually calling out and the like so as to promote the completion of commodity marketing.
However, at present, the mode of determining the target client is mainly manually determined, and the mode of determining the target client is easily influenced by human subjective in the judging process, so that the determination of the target client is not accurate enough, and further the influence of completing commodity transaction by pushing marketing information is limited. Particularly, under the condition that the target clients are large, the marketing cost naturally becomes high, but the target people are not accurately obtained, the client conversion rate is difficult to improve, that is, the commodity sales are difficult to improve by pushing marketing information on the basis of manually confirming the target clients.
Disclosure of Invention
The invention provides a marketing information pushing method and a marketing information pushing device based on user labels, which are used for accurately determining target clients in each marketing process based on the user labels and pushing marketing information to the target clients to promote commodity transaction completion, so that influence of the marketing information in the marketing process is improved.
The invention provides a marketing information pushing method based on a user tag, which comprises the following steps:
acquiring and counting historical data of information pages of goods to be pushed, and generating a client behavior thermodynamic diagram of the goods to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of specific behaviors of customers occurring in each flow unit of the commodity information page to be pushed;
analyzing the thermodynamic diagram of the client behavior to obtain target marketing information and a target marketing plan aiming at the commodity information page to be pushed, wherein the target marketing plan comprises target marketing budget;
screening user labels related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user labels;
determining a target client according to the user label related to the target marketing plan;
and pushing marketing information to the target client within the target marketing budget.
Optionally, the user tag includes: a behavior tag and a base tag, the base tag comprising: user ID, age, gender, and location information; the construction of the user data set comprises:
traversing all commodity information pages, and acquiring historical behavior data of all users on the commodity information pages and historical operation data of commodities corresponding to the commodity information pages one by one;
analyzing the historical behavior data and the historical operation data respectively to generate behavior labels of all the users;
and recording the user labels of each user to form a user data set.
Optionally, screening user tags related to the target marketing plan from a preset user data set, including:
word segmentation is carried out on the target marketing plan, and text data after word segmentation is output;
and screening user labels related to the text data after word segmentation from the user data set.
Optionally, screening user tags related to the text data after word segmentation from the user data set includes:
extracting marketing keywords from the segmented text data to obtain a target marketing label;
and screening user labels corresponding to the target marketing labels from the user data set.
Optionally, the user tag further includes a service tag; after analyzing the historical behavior data and the historical operation data respectively and generating the behavior labels of all the users, the method further comprises the steps of:
mining all the behavior tags and basic tags of the user to obtain service tags of the user, wherein the service tags are used for representing relevant marketing characteristics of the user.
Optionally, pushing marketing information to the target client within the target marketing budget includes:
selecting a target marketing means according to the target marketing budget;
and pushing marketing information to the target clients through the target marketing means.
In order to solve the above problems, the present invention also discloses a marketing information pushing device based on the user tag, which comprises:
the acquisition module is used for acquiring and counting historical data of the information page of the commodity to be pushed and generating a customer behavior thermodynamic diagram of the commodity to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of specific behaviors of customers occurring in each flow unit of the commodity information page to be pushed;
the analysis module is used for analyzing the thermodynamic diagram of the client behavior to obtain target marketing information and a target marketing plan aiming at the commodity information page to be pushed, wherein the target marketing plan comprises target marketing budget;
the screening module is used for screening user labels related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user labels;
the determining module is used for determining target clients according to the user labels related to the target marketing plans;
and the pushing module is used for pushing the marketing information to the target client in the target marketing budget.
Optionally, the user tag includes: a behavior tag and a base tag, the base tag comprising: user ID, age, gender, and location information; the construction of the user data set comprises:
the traversing module is used for traversing all commodity information pages and acquiring historical behavior data of all users on the commodity information pages and historical operation data of commodities corresponding to the commodity information pages one by one;
the analysis module is used for respectively analyzing the historical behavior data and the historical operation data and generating behavior labels of all the users;
and the recording module is used for recording the user labels of each user to form a user data set.
Optionally, the screening module includes:
the word segmentation sub-module is used for segmenting the target marketing plan and outputting text data after word segmentation;
and the user tag screening sub-module is used for screening the user tags related to the text data after word segmentation from the user data set.
Optionally, the subscriber tag screening submodule includes:
the extraction unit is used for extracting marketing keywords from the segmented text data to obtain a target marketing label;
and the screening unit is used for screening the user labels corresponding to the target marketing labels from the user data set.
From the above technical scheme, the invention has the following advantages:
according to the method, the historical data of the information page of the commodity to be pushed is obtained and counted, and a customer behavior thermodynamic diagram of the commodity to be pushed is generated; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of specific behaviors of customers occurring in each flow unit of the commodity information page to be pushed; analyzing the thermodynamic diagram of the client behavior to obtain target marketing information and a target marketing plan aiming at the commodity information page to be pushed, wherein the target marketing plan comprises target marketing budget; screening user labels related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user labels; determining a target client according to the user label related to the target marketing plan; and pushing marketing information to the target client within the target marketing budget. Based on the user labels, target clients in each marketing process are accurately determined, and marketing information is pushed to the target clients to promote commodity transaction completion, so that influence of the marketing information on the completion of the marketing process is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flowchart illustrating steps of a first embodiment of a method for advertising based on user attributes according to the present invention;
FIG. 2 is a flowchart illustrating steps of a second embodiment of an advertisement delivery method based on user attributes according to the present invention;
FIG. 3 is a block diagram illustrating an embodiment of an advertisement delivery apparatus according to the present invention based on user attributes.
Detailed Description
The embodiment of the invention provides an advertisement putting method and device based on user attributes, which are used for accurately determining target clients in each marketing process based on user labels and pushing marketing information to the target clients to promote commodity transaction completion, so that the influence of the marketing information on the completion of the marketing process is improved.
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a step of a first embodiment of a marketing information pushing method based on user labels according to the present invention, which specifically includes the following steps:
step S101, historical data of a commodity information page to be pushed is obtained and counted, and a customer behavior thermodynamic diagram of the commodity information page to be pushed is generated; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of specific behaviors of customers occurring in each flow unit of the commodity information page to be pushed;
in the embodiment of the invention, the commodity information page to be pushed comprises a propaganda page, a purchase page, an order page, an evaluation page and the like of the commodity information to be pushed, the operation of a specific area (flow unit) of each page is counted, and the counted data is analyzed to obtain a customer behavior thermodynamic diagram.
For example, an information page of a mobile phone includes: the statistical area can be the area corresponding to propaganda characters such as ultrathin, four cameras, curved surface screen and the like on the mobile phone advertisement page, and is used for counting the most interesting mobile phone characteristics of a user; the statistical area can also be the area of the mobile phone color, the mobile phone memory and the like of the mobile phone purchase page. The method is used for counting the favorite mobile phone colors of the user, the most suitable mobile phone memory and the like.
In addition, the customer behavior thermodynamic diagram may also analyze and obtain the existence of the user in the link of propaganda, purchasing, confirming receipt and evaluation of the commodity, for example, not confirming the order or not commenting the commodity at a later time.
Step S102, analyzing the thermodynamic diagram of the client behavior to obtain target marketing information and a target marketing plan aiming at the commodity information page to be pushed, wherein the target marketing plan comprises target marketing budget;
in the embodiment of the invention, the customer behavior thermodynamic diagram obtained in the step S101 is analyzed to obtain possible problems of the customer in the process of experiencing commodity marketing, and a feasible marketing plan and marketing information for promoting completion of a marketing link are provided according to the problems.
For example, if the number of clicks from customer behavior thermodynamic analysis to customer's "get verification code" in the flow element is high for the case of applying for a flow card, but the number of clicks in the flow element in the area of entering verification code is low, it can be derived that there may be some problem in the process of sending the verification code to the cell phone. In this case, we provide a marketing plan for the outbound customer, and the voice content of the outbound customer may be a voice verification code, where the voice verification code is the marketing message.
Step S103, screening user labels related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user labels;
in an alternative embodiment, the user tag includes: a behavior tag and a base tag, the base tag comprising: user ID, age, gender, and location information; the construction of the user data set comprises:
traversing all commodity information pages, and acquiring historical behavior data of all users on the commodity information pages and historical operation data of commodities corresponding to the commodity information pages one by one;
analyzing the historical behavior data and the historical operation data respectively to generate behavior labels of all the users;
and recording the user labels of each user to form a user data set.
In the embodiment of the invention, the user data set comprises basic information and behavior information of each user, and the information is expressed in the form of labels, wherein the behavior labels are obtained through analysis of historical behavior data, such as browsing time length and browsing times, of the user on commodity information pages and historical operations, such as purchasing, putting into shopping carts and other behaviors, of the corresponding commodities on the pages. The user data set is then constructed by co-constructing the behavior tags and the base tags.
In an alternative embodiment, the user tag further includes a service tag; after analyzing the historical behavior data and the historical operation data respectively and generating the behavior labels of all the users, the method further comprises the steps of:
mining all the behavior tags and basic tags of the user to obtain service tags of the user, wherein the service tags are used for representing relevant marketing characteristics of the user.
In the embodiment of the invention, commercial label extraction is performed on the user behavior labels and the basic labels, for example, the 'young consumer group' labels are marked according to the years involved in the basic labels, and the 'digital fever friends' labels are marked according to the 'mobile phones' and the 'tablet computers' involved in the behavior labels.
In addition, the specific business behavior label in the corresponding time period can be obtained based on the historical behavior label corresponding to the behavior data of the user in the specific time period.
Step S104, determining a target client according to the user label related to the target marketing plan;
in the embodiment of the invention, according to the user label related to the target marketing plan, all clients corresponding to the client label are determined in the client data set and defined as target clients.
Step S105, pushing marketing information to the target client within the target marketing budget.
In an alternative embodiment, pushing marketing information to the target customer within the target marketing budget includes:
selecting a target marketing means according to the target marketing budget;
and pushing marketing information to the target clients through the target marketing means.
In particular implementations, the means for facilitating the marketing completion phase may include: short messages, outbound calls, and even interviews are sent because the target marketing means can be selected according to the target marketing budget, and marketing information is pushed to target customers according to the target marketing means.
It should be noted that, the pushing of the marketing message is intended to enable the client to receive the marketing message, so the pushing mode may be a text mode, a voice mode or even an image mode, and the present invention is not limited herein.
In the embodiment of the invention, the client behavior thermodynamic diagram of the commodity to be pushed is generated by acquiring and counting the historical data of the commodity information page to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of specific behaviors of customers occurring in each flow unit of the commodity information page to be pushed; analyzing the thermodynamic diagram of the client behavior to obtain target marketing information and a target marketing plan aiming at the commodity information page to be pushed, wherein the target marketing plan comprises target marketing budget; screening user labels related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user labels; determining a target client according to the user label related to the target marketing plan; and pushing marketing information to the target client within the target marketing budget. Based on the user labels, target clients in each marketing process are accurately determined, and marketing information is pushed to the target clients to promote commodity transaction completion, so that influence of the marketing information on the completion of the marketing process is improved.
Referring to fig. 2, a flowchart of a step of a second embodiment of a marketing information pushing method based on user labels according to the present invention specifically includes:
step S201, historical data of information pages of goods to be pushed are obtained and counted, and a customer behavior thermodynamic diagram of the goods to be pushed is generated;
in the embodiment of the invention, the client behavior thermodynamic diagram mainly comprises indexes such as PV (page view), UV (user view), click number and order conversion rate.
Step S202, analyzing the thermodynamic diagram of the client behavior to obtain target marketing information and a target marketing plan aiming at the commodity information page to be pushed, wherein the target marketing plan comprises target marketing budget;
in the embodiment of the present invention, for the customer behavioural thermodynamic diagram obtained in step S201, the loss rate of the customer in each link may be analyzed, for example: according to thermodynamic diagrams, abnormal data of input boxes or button input or clicking times in the pages can be seen, problems of page interaction or product policy and the like are analyzed, and the pages are adjusted or marketing schemes are formulated according to analysis results.
For example, there may be a page applied only for a specific area of the phone card, and even if the netizen or the user in the non-home city clicks the application button for many times, the response of the phone card information page can not be obtained, and at this time, the corresponding phone card application page can be pushed to respond according to the area where the netizen or the user in the non-home city is located.
Step S203, word segmentation is carried out on the target marketing plan, and text data after word segmentation is output;
the word segmentation in the above description is a process of recombining a continuous word sequence into a word sequence according to a certain specification. For example: the Chinese character string is subjected to word segmentation processing to obtain four word segmentation units of 1 ten thousand advertising fees, college students, simple and easy and a rice steamer. Furthermore, the plan 'put 1 million advertising fees' to promote a simple rice steamer to college students 'group' is decomposed into word sequences with four word elements, namely the target marketing plan keywords in the embodiment of the invention.
Step S204, screening user labels related to the text data after word segmentation from a user data set;
in an alternative embodiment, filtering user tags related to the segmented text data from the user data set includes:
extracting marketing keywords from the segmented text data to obtain a target marketing label;
and screening user labels corresponding to the target marketing labels from the user data set.
In the embodiment of the invention, the text data after word segmentation can be extracted to obtain the target marketing label specified according to the label engine rule, and then the user label and the target marketing label are matched, so that a more accurate target customer group is obtained.
Step S205, determining a target client according to the user label related to the target marketing plan;
step S206, pushing marketing information to the target client within the target marketing budget.
In the embodiment of the invention, the client behavior thermodynamic diagram of the commodity to be pushed is generated by acquiring and counting the historical data of the commodity information page to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of specific behaviors of customers occurring in each flow unit of the commodity information page to be pushed; analyzing the thermodynamic diagram of the client behavior to obtain target marketing information and a target marketing plan aiming at the commodity information page to be pushed, wherein the target marketing plan comprises target marketing budget; screening user labels related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user labels; determining a target client according to the user label related to the target marketing plan; and pushing marketing information to the target client within the target marketing budget. Based on the user labels, target clients in each marketing process are accurately determined, and marketing information is pushed to the target clients to promote commodity transaction completion, so that influence of the marketing information on the completion of the marketing process is improved.
Referring to fig. 3, a block diagram of an embodiment of a marketing information pushing device based on a user tag is shown, which includes the following modules:
the acquisition module 101 is configured to acquire and count historical data of an information page of a commodity to be pushed, and generate a thermodynamic diagram of customer behavior of the commodity to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of specific behaviors of customers occurring in each flow unit of the commodity information page to be pushed;
the analysis module 102 is configured to analyze the thermodynamic diagram of the client behavior, and obtain a target marketing message and a target marketing plan for the to-be-pushed commodity information page, where the target marketing plan includes a target marketing budget;
a screening module 103, configured to screen user tags related to the target marketing plan from a preset user data set, where the user data set includes users and corresponding user tags;
in an alternative embodiment, the user tag includes: behavior tags and base tags; the construction of the user data set comprises:
the traversing module is used for traversing all commodity information pages and acquiring historical behavior data of all users on the commodity information pages and historical operation data of commodities corresponding to the commodity information pages one by one;
the analysis module is used for respectively analyzing the historical behavior data and the historical operation data and generating behavior labels of all the users;
in an alternative embodiment, the user tag further includes a service tag; after analyzing the historical behavior data and the historical operation data respectively and generating the behavior labels of all the users, the method further comprises the steps of:
mining all the behavior tags and basic tags of the user to obtain service tags of the user, wherein the service tags are used for representing relevant marketing characteristics of the user.
The recording module is used for recording the user label of each user to form a user data set, and the basic label comprises: user ID, age, gender and location information.
In an alternative embodiment, the screening module 103 includes:
the word segmentation sub-module is used for segmenting the target marketing plan and outputting text data after word segmentation;
and the user tag screening sub-module is used for screening the user tags related to the text data after word segmentation from the user data set.
In an alternative embodiment, the subscriber tag filtering submodule includes:
the extraction unit is used for extracting marketing keywords from the segmented text data to obtain a target marketing label;
and the screening unit is used for screening the user labels corresponding to the target marketing labels from the user data set.
A determining module 104, configured to determine a target client according to the user tag related to the target marketing plan;
and the pushing module 105 is used for pushing marketing information to the target client within the target marketing budget.
In an alternative embodiment, the pushing module 105 includes:
a selection sub-module for selecting a target marketing means according to the target marketing budget;
and the pushing sub-module is used for pushing the marketing information to the target client through the target marketing means.
For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the apparatus and modules described above may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone goods, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (7)
1. The marketing information pushing method based on the user label is characterized by comprising the following steps of:
acquiring and counting historical data of a commodity information page to be pushed, and generating a client behavior thermodynamic diagram of the commodity information page to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of specific behaviors of customers occurring in each flow unit of the commodity information page to be pushed;
analyzing the thermodynamic diagram of the client behavior to obtain possible problems in the links of propaganda, purchasing, confirming receipt and evaluation of the user in the commodity marketing experience process, and obtaining target marketing information and a target marketing plan aiming at the commodity information page to be pushed according to the problems, wherein the target marketing plan comprises target marketing budget;
the target marketing information and the target marketing plan aiming at the commodity information page to be pushed are obtained according to the problems, specifically: when the number of the clicks of the verification code obtained by the client in the flow unit is high and the number of the clicks of the verification code input area in the flow unit is low, a marketing plan of the outbound client is provided, the voice content of the outbound client is a voice verification code, and the voice verification code is target marketing information;
screening user labels related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user labels;
the user tag includes: behavior tags, base tags, and business tags, the base tags comprising: user ID, age, gender, and location information; the construction of the user data set comprises:
traversing all commodity information pages, and acquiring historical behavior data of all users on the commodity information pages and historical operation data of commodities corresponding to the commodity information pages one by one;
analyzing the historical behavior data and the historical operation data respectively to generate behavior labels of all the users;
mining all the behavior labels and basic labels of the users to obtain service labels of the users, wherein the service labels are used for representing relevant marketing characteristics of the users;
recording a user label of each user to form a user data set;
determining a target client according to the user label related to the target marketing plan;
and pushing marketing information to the target client within the target marketing budget.
2. The user tag based marketing message pushing method of claim 1, wherein selecting the user tag associated with the target marketing program from a preset user data set comprises:
word segmentation is carried out on the target marketing plan, and text data after word segmentation is output;
and screening user labels related to the text data after word segmentation from the user data set.
3. The user tag-based marketing message pushing method of claim 2, wherein screening user tags related to the segmented text data from the user data set comprises:
extracting marketing keywords from the segmented text data to obtain a target marketing label;
and screening user labels corresponding to the target marketing labels from the user data set.
4. The user tag-based marketing information pushing method of any of claims 1-3, wherein pushing marketing information to the target customer within the target marketing budget comprises:
selecting a target marketing means according to the target marketing budget;
and pushing marketing information to the target clients through the target marketing means.
5. Marketing information pushing device based on user label, characterized by comprising:
the acquisition module is used for acquiring and counting historical data of the commodity information page to be pushed and generating a customer behavior thermodynamic diagram of the commodity information page to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of specific behaviors of customers occurring in each flow unit of the commodity information page to be pushed;
the analysis module is used for analyzing the thermodynamic diagram of the client behavior to obtain possible problems in the links of propaganda, purchasing, confirming goods receiving and evaluating in the process of commodity marketing experience of a user, and obtaining target marketing information and a target marketing plan aiming at the commodity information page to be pushed according to the problems, wherein the target marketing plan comprises target marketing budget;
the target marketing information and the target marketing plan aiming at the commodity information page to be pushed are obtained according to the problems, specifically: when the number of the clicks of the verification code obtained by the client in the flow unit is high and the number of the clicks of the verification code input area in the flow unit is low, a marketing plan of the outbound client is provided, the voice content of the outbound client is a voice verification code, and the voice verification code is target marketing information;
the screening module is used for screening user labels related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user labels;
the user tag includes: behavior tags, base tags, and business tags, the base tags comprising: user ID, age, gender, and location information; the construction of the user data set comprises:
the traversing module is used for traversing all commodity information pages and acquiring historical behavior data of all users on the commodity information pages and historical operation data of commodities corresponding to the commodity information pages one by one;
the analysis module is used for respectively analyzing the historical behavior data and the historical operation data and generating behavior labels of all the users;
mining all the behavior labels and basic labels of the users to obtain service labels of the users, wherein the service labels are used for representing relevant marketing characteristics of the users;
the recording module is used for recording the user label of each user to form a user data set;
the determining module is used for determining target clients according to the user labels related to the target marketing plans;
and the pushing module is used for pushing the marketing information to the target client in the target marketing budget.
6. The user tag based marketing information pushing apparatus of claim 5, wherein the screening module comprises:
the word segmentation sub-module is used for segmenting the target marketing plan and outputting text data after word segmentation;
and the user tag screening sub-module is used for screening the user tags related to the text data after word segmentation from the user data set.
7. The user tag based marketing information pushing apparatus of claim 6, wherein the user tag filtering submodule comprises:
the extraction unit is used for extracting marketing keywords from the segmented text data to obtain a target marketing label;
and the screening unit is used for screening the user labels corresponding to the target marketing labels from the user data set.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011329214.5A CN112418932B (en) | 2020-11-24 | 2020-11-24 | Marketing information pushing method and device based on user tag |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011329214.5A CN112418932B (en) | 2020-11-24 | 2020-11-24 | Marketing information pushing method and device based on user tag |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112418932A CN112418932A (en) | 2021-02-26 |
| CN112418932B true CN112418932B (en) | 2023-08-22 |
Family
ID=74778009
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011329214.5A Active CN112418932B (en) | 2020-11-24 | 2020-11-24 | Marketing information pushing method and device based on user tag |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112418932B (en) |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112308B (en) * | 2021-05-06 | 2024-03-12 | 支付宝(杭州)信息技术有限公司 | Equipment labeling method and system and directional information pushing method and system |
| CN113538044A (en) * | 2021-06-30 | 2021-10-22 | 广州云徙科技有限公司 | Marketing scheme management method, marketing scheme management system, computer equipment and storage medium |
| CN114357286A (en) * | 2021-12-24 | 2022-04-15 | 广州风腾网络科技有限公司 | Method, system, equipment and storage medium for pushing data marketing scheme |
| CN114580435B (en) * | 2022-02-18 | 2022-10-25 | 深圳数鉴科技有限公司 | Session analysis method and system based on user behavior data |
| CN114429371B (en) * | 2022-04-06 | 2022-06-28 | 新石器慧通（北京）科技有限公司 | Unmanned vehicle-based commodity marketing method and device, electronic equipment and storage medium |
| CN116467393A (en) * | 2023-04-12 | 2023-07-21 | 北京博晓通科技有限公司 | Data processing method, device, computer equipment and storage medium |
| CN117252703B (en) * | 2023-11-20 | 2024-02-09 | 杭州联海网络科技有限公司 | Marketing rule generation method and system for financial clients |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102024028A (en) * | 2010-11-22 | 2011-04-20 | 百度在线网络技术（北京）有限公司 | Method and equipment for distinctly displaying main contents of webpage on mobile terminal |
| CN107203713A (en) * | 2017-05-09 | 2017-09-26 | 北京潘达互娱科技有限公司 | Verification code generation method and device |
| JP2017188031A (en) * | 2016-04-08 | 2017-10-12 | ソフトバンク・テクノロジー株式会社 | Re-marketing system based on action data and emotion data and management method for the same |
| CN110428322A (en) * | 2019-06-12 | 2019-11-08 | 平安科技（深圳）有限公司 | A kind of adaptation method and device of business datum |
| CN110517001A (en) * | 2019-08-29 | 2019-11-29 | 江苏德赢软件科技有限公司 | A kind of timeliness guest room commodity go the method, apparatus and system of inventory |
| CN110866791A (en) * | 2019-11-25 | 2020-03-06 | 恩亿科(北京)数据科技有限公司 | Commodity pushing method and device, storage medium and electronic equipment |
| CN111008869A (en) * | 2019-12-05 | 2020-04-14 | 秒针信息技术有限公司 | Advertisement recommendation method and device, electronic equipment and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104104514A (en) * | 2014-07-25 | 2014-10-15 | 小米科技有限责任公司 | Method and device for identifying by using verification code |
-
2020
- 2020-11-24 CN CN202011329214.5A patent/CN112418932B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102024028A (en) * | 2010-11-22 | 2011-04-20 | 百度在线网络技术（北京）有限公司 | Method and equipment for distinctly displaying main contents of webpage on mobile terminal |
| JP2017188031A (en) * | 2016-04-08 | 2017-10-12 | ソフトバンク・テクノロジー株式会社 | Re-marketing system based on action data and emotion data and management method for the same |
| CN107203713A (en) * | 2017-05-09 | 2017-09-26 | 北京潘达互娱科技有限公司 | Verification code generation method and device |
| CN110428322A (en) * | 2019-06-12 | 2019-11-08 | 平安科技（深圳）有限公司 | A kind of adaptation method and device of business datum |
| CN110517001A (en) * | 2019-08-29 | 2019-11-29 | 江苏德赢软件科技有限公司 | A kind of timeliness guest room commodity go the method, apparatus and system of inventory |
| CN110866791A (en) * | 2019-11-25 | 2020-03-06 | 恩亿科(北京)数据科技有限公司 | Commodity pushing method and device, storage medium and electronic equipment |
| CN111008869A (en) * | 2019-12-05 | 2020-04-14 | 秒针信息技术有限公司 | Advertisement recommendation method and device, electronic equipment and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 口令认证***的安全性研究与实现;王明黔;《中国优秀硕士学位论文全文数据库信息科技辑》(第03期);第I139-196页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112418932A (en) | 2021-02-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112418932B (en) | Marketing information pushing method and device based on user tag | |
| US10776816B2 (en) | System and method for building a targeted audience for an online advertising campaign | |
| JP7069220B2 (en) | Electronic message filtering | |
| US20180053199A1 (en) | Auto-segmentation | |
| CN112001754A (en) | User portrait generation method, device, equipment and computer readable medium | |
| CN112925973B (en) | Data processing method and device | |
| CN105809478B (en) | Labeling method and system for advertisement label | |
| US20140019256A1 (en) | Selecting advertisement for presentation using previously stored data corresponding to identified customer | |
| JP7026600B2 (en) | Purchasing information utilization system, purchasing information utilization method, and program | |
| CN110674391B (en) | Product data pushing method and system based on big data and computer equipment | |
| US20140365305A1 (en) | Providing geospatial-temporal next-best-action decisions | |
| CN111507769A (en) | Information pushing method and system, storage medium and processor | |
| CN116127184A (en) | Product recommendation method and device, nonvolatile storage medium and electronic equipment | |
| CN108205771B (en) | Method and device for generating marketing activity report and computer terminal | |
| CN106919609B (en) | Product information pushing method and device | |
| CN112784021A (en) | System and method for using keywords extracted from reviews | |
| CN112015970A (en) | Product recommendation method, related equipment and computer storage medium | |
| US11741505B2 (en) | System and method for predicting an anticipated transaction | |
| CN112070562B (en) | Commodity identification method based on big data and electronic commerce and e-commerce system | |
| CN113254775A (en) | Credit card product recommendation method based on client browsing behavior sequence | |
| CN113065892A (en) | Information pushing method, device, equipment and storage medium | |
| CN113554472A (en) | Advertisement promotion method and system | |
| CN111178934A (en) | Method and device for acquiring target object | |
| CN112016582A (en) | Dish recommending method and device | |
| KR20200042232A (en) | Method for providing advertisement solution |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |