CN112418932A - Marketing information pushing method and device based on user tags - Google Patents
Marketing information pushing method and device based on user tags Download PDFInfo
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Abstract
The invention discloses a marketing information pushing method and a marketing information pushing device based on user labels, wherein the method comprises the following steps: acquiring and counting historical data of an information page of the commodity to be pushed, and generating a customer behavior thermodynamic diagram of the commodity to be pushed; the client behavior thermodynamic diagram refers to a frequency statistical diagram of the specific behavior of the client in each flow unit of the commodity information page to be pushed; analyzing the client behavior thermodynamic diagram to obtain target marketing information aiming at the information page of the commodity to be pushed; screening out user tags related to a target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user tags; determining a target customer according to a user label related to the target marketing plan; and pushing marketing information to the target client within the target marketing budget. And based on the user tags, target customers in each marketing process are accurately determined, marketing information is pushed to the target customers to promote the completion of commodity transaction, and the influence of the marketing information on the completion of the marketing process is further 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 tags.
Background
Marketing, which refers to a process of finding or discovering consumer demands by an enterprise, enabling a consumer to know about a commodity and then purchase the commodity, even obtaining commodity evaluation, wherein the marketing process comprises the following steps: identification of opportunities, development of new goods, and fulfillment of orders. At present, with the development of communication technology, market economy is gradually diversified, and consumer customers are more diversified. In order to improve the commodity sales volume or the business volume, merchants actively search target customers in different processes in the marketing process by putting advertisements, sending marketing short messages, manually calling out and the like so as to promote the completion of commodity marketing.
However, most of the ways of determining the target customers at the present stage are determined manually, and the ways of determining the target customers are easily influenced by human subjectivity in the judgment process, so that the determination of the target customers is not accurate enough, and further, the influence of pushing marketing information to complete commodity transaction is limited. Particularly, in the case of large target customers, the marketing cost naturally increases, but the target population is not accurately obtained, and the customer conversion rate is difficult to increase, that is, it is difficult to increase the commodity sales by pushing marketing information after manually confirming the target customers.
Disclosure of Invention
The invention provides a marketing information pushing method and device based on user tags.
The invention provides a marketing information pushing method based on a user label, which comprises the following steps:
acquiring and counting historical data of an 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 the specific behavior of the customer in each flow unit of the to-be-pushed commodity information page;
analyzing the client behavior thermodynamic diagram to obtain target marketing information and a target marketing plan aiming at the to-be-pushed commodity information page, wherein the target marketing plan comprises a target marketing budget;
screening out user tags related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user tags;
determining a target customer according to the user label related to the target marketing plan;
pushing marketing information to the target customer within the target marketing budget.
Optionally, the user tag comprises: an activity tag and a base tag, the base tag comprising: ID, age, gender, and location information of the user; 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 tags for all the users;
and recording the user label of each user to form a user data set.
Optionally, filtering out the user tags related to the targeted marketing plan from a preset user data set, including:
performing word segmentation on the target marketing plan, and outputting text data after word segmentation;
and screening the user tags related to the text data after word segmentation from the user data set.
Optionally, the filtering, from the user data set, a user tag related to the segmented text data includes:
extracting marketing key words from the text data after word segmentation to obtain a target marketing label;
and screening the user tags corresponding to the target marketing tags from the user data set.
Optionally, the user tag further comprises a service tag; after the historical behavior data and the historical operation data are respectively analyzed and the used behavior tags of all the users are generated, the method further comprises the following steps:
mining all the behavior tags and basic tags of the users to obtain service tags of the users, wherein the service tags are used for representing relevant marketing characteristics of the users.
Optionally, within the targeted marketing budget, pushing marketing information to the targeted customers includes:
selecting a target marketing means according to the target marketing budget;
and pushing marketing information to the target customer through the target marketing means.
In order to solve the above problem, the present invention also discloses a marketing information pushing device based on a user tag, comprising:
the acquisition module is used for acquiring and counting historical data of an information page of the commodity to be pushed and generating a client behavior thermodynamic diagram of the commodity to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of the specific behavior of the customer in each flow unit of the to-be-pushed commodity information page;
the analysis module is used for analyzing the client behavior thermodynamic diagram to obtain target marketing information and a target marketing plan aiming at the to-be-pushed commodity information page, and the target marketing plan comprises a target marketing budget;
the screening module is used for screening out user tags related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user tags;
the determining module is used for determining a target customer according to the user label related to the target marketing plan;
and the pushing module is used for pushing marketing information to the target client within the target marketing budget.
Optionally, the user tag comprises: an activity tag and a base tag, the base tag comprising: ID, age, gender, and location information of the user; the construction of the user data set comprises:
the traversal module is used for traversing all the 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 to generate behavior tags for all the users;
and the recording module is used for recording the user label of each user to form a user data set.
Optionally, the screening module comprises:
the word segmentation sub-module is used for segmenting words of the target marketing plan and outputting text data after word segmentation;
and the user tag screening submodule is used for screening the user tags related to the text data after word segmentation from the user data set.
Optionally, the user tag filtering sub-module 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 tags corresponding to the target marketing tags from the user data set.
According to the technical scheme, the invention has the following advantages:
the method comprises the steps of obtaining and counting historical data of an information page of the commodity to be pushed to generate a customer behavior thermodynamic diagram of the commodity to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of the specific behavior of the customer in each flow unit of the to-be-pushed commodity information page; analyzing the client behavior thermodynamic diagram to obtain target marketing information and a target marketing plan aiming at the to-be-pushed commodity information page, wherein the target marketing plan comprises a target marketing budget; screening out user tags related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user tags; determining a target customer according to the user label related to the target marketing plan; pushing marketing information to the target customer within the target marketing budget. And based on the user tags, target customers in each marketing process are accurately determined, marketing information is pushed to the target customers to promote the completion of commodity transaction, and the influence of the marketing information on the completion of the marketing process is further improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a flowchart illustrating a first embodiment of a method for advertisement delivery based on user attributes according to the present invention;
FIG. 2 is a flowchart illustrating steps of a second embodiment of a method for advertisement delivery based on user attributes according to the present invention;
fig. 3 is a block diagram illustrating an embodiment of an advertisement delivery apparatus based on user attributes according to the present invention.
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 customers in each marketing process based on user labels and pushing marketing information to the target customers to promote the completion of commodity transaction, thereby improving the influence of the marketing information on the completion of the marketing process.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In a first embodiment, referring to fig. 1, fig. 1 is a flowchart illustrating a first step of a marketing information pushing method based on a user tag according to a first embodiment of the present invention, which may specifically include the following steps:
step S101, acquiring and counting historical data of a 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 the specific behavior of the customer in each flow unit of the to-be-pushed commodity information page;
in the embodiment of the invention, the to-be-pushed commodity information page comprises a promotion page, a purchase page, an order page, an evaluation page and the like of to-be-pushed commodity information, the operation of a specific area (flow unit) of each page is counted, and the counted data is analyzed to obtain the customer behavior thermodynamic diagram.
For example, the information page of a mobile phone includes: the mobile phone advertisement page, the mobile phone purchase page, the order page formed after the mobile phone purchase and the evaluation page after the receipt are confirmed, and in the write page, the statistical area can be the area corresponding to the propaganda words such as 'ultra-thin', 'four cameras' and 'curved screen' on the mobile phone advertisement page and is used for counting the mobile phone characteristics in which the user is most interested; the statistical area can also be the area such as the mobile phone color and the mobile phone memory of the mobile phone purchase page. The method is used for counting the favorite mobile phone color of the user and the most suitable mobile phone memory and the like.
In addition, the customer behavior thermodynamic diagram can also analyze and obtain the condition of the user in the links of publicity, purchase, receipt confirmation and evaluation of the commodity, such as not confirming the order or not commenting the commodity in the late stage.
Step S102, analyzing the client behavior thermodynamic diagram to obtain target marketing information and a target marketing plan aiming at the information page of the commodity to be pushed, wherein the target marketing plan comprises a target marketing budget;
in the embodiment of the invention, the customer behavior thermodynamic diagrams obtained in the step S101 are analyzed, so that possible problems of the customers in the process of experiencing commodity marketing can be obtained, and a feasible marketing plan and marketing information for promoting the completion of a marketing link can be provided according to the problems.
For example, if the number of clicks of the client in the flow unit is high from the analysis of the client behavior thermodynamic diagram for the case of applying for the traffic card, but the number of clicks of the area for inputting the verification code in the flow unit is low, it can be found that a few problems may occur in the process of sending the verification code to the mobile phone terminal. In this case, we provide the marketing plan of the outbound customer, and the voice content of the outbound customer can be the voice verification code, and the voice verification code is the marketing information.
Step S103, screening out user tags related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user tags;
in an alternative embodiment, the user tag comprises: an activity tag and a base tag, the base tag comprising: ID, age, gender, and location information of the user; 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 tags for all the users;
and recording the user label 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 represented in the form of tags, wherein the behavior tags of the users are obtained by analyzing historical behavior data of the users on commodity information pages, such as browsing duration and browsing times, and historical operations of commodities corresponding to the pages, such as purchasing and putting in shopping carts and the like. And then constructing a user data set by combining the behavior label and the basic label.
In an optional embodiment, the user tag further comprises a service tag; after the historical behavior data and the historical operation data are respectively analyzed and the used behavior tags of all the users are generated, the method further comprises the following steps:
and mining the behavior labels and the basic labels of all the users to obtain the service labels of the users, wherein the service labels are used for representing the relevant marketing characteristics of the users.
In the embodiment of the invention, business label extraction is carried out on the user behavior label and the basic label, for example, a label of 'young consumer group' is marked according to the years involved in the basic label, and a label of 'digital feverish friend' is marked according to a 'mobile phone' and a 'tablet computer' involved in the behavior label.
In addition, the specific commercial behavior tag in the corresponding time period can be obtained based on the historical behavior tag corresponding to the behavior data of the user in the specific time period.
Step S104, determining a target customer according to the user label related to the target marketing plan;
in the embodiment of the invention, according to the user tags related to the target marketing plan, all the customers corresponding to the customer tags are determined in the customer data set and are defined as the target customers.
Step S105, marketing information is pushed to the target client within the target marketing budget.
In an optional embodiment, pushing marketing information to the targeted customers within the targeted marketing budget includes:
selecting a target marketing means according to the target marketing budget;
and pushing marketing information to the target customer through the target marketing means.
In particular implementations, the means for facilitating the marketing completion phase can include: and sending short messages, outbound calls and even interviews, because the target marketing means can be selected according to the target marketing budget, and then marketing information is pushed to the target client according to the target marketing means.
It should be noted that pushing the marketing information is intended to allow the customer to receive the marketing information, and therefore, 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, a client behavior thermodynamic diagram of the commodity to be pushed is generated by acquiring and counting historical data of the information page of the commodity to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of the specific behavior of the customer in each flow unit of the to-be-pushed commodity information page; analyzing the client behavior thermodynamic diagram to obtain target marketing information and a target marketing plan aiming at the to-be-pushed commodity information page, wherein the target marketing plan comprises a target marketing budget; screening out user tags related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user tags; determining a target customer according to the user label related to the target marketing plan; pushing marketing information to the target customer within the target marketing budget. And based on the user tags, target customers in each marketing process are accurately determined, marketing information is pushed to the target customers to promote the completion of commodity transaction, and the influence of the marketing information on the completion of the marketing process is further improved.
In a second embodiment, please refer to fig. 2, which is a flowchart illustrating a second step of the marketing information pushing method based on the user tag according to the second embodiment of the present invention, specifically including:
step S201, acquiring and counting historical data of an information page of a commodity to be pushed, and generating a customer behavior thermodynamic diagram of the commodity to be pushed;
in the embodiment of the present invention, the customer behavior thermodynamic diagram may mainly include indicators such as PV (page view), UV (user view), number of clicks, and order conversion rate.
Step S202, analyzing the client behavior thermodynamic diagram to obtain target marketing information and a target marketing plan aiming at the to-be-pushed commodity information page, wherein the target marketing plan comprises a target marketing budget;
in the embodiment of the present invention, for the customer behavior thermodynamic diagram obtained in step S201, the attrition rate of the customer in each link may be analyzed, for example: abnormal data of input or click times of an input box or a button in the page can be seen according to the thermodynamic diagram, the problems of page interaction or product policy and the like are analyzed, and the page is adjusted or a marketing scheme is formulated according to the analysis result.
For example, there may be a page that is only applied for a phone card in a specific area, and even if a netizen or a user in a non-local city clicks an application button many times, the response of the phone card information page still cannot be obtained, and at this time, the response may be performed by pushing the corresponding phone card application page according to the area where the netizen or the user in the non-local city is located.
Step S203, performing word segmentation on the target marketing plan, and outputting text data after word segmentation;
it should be noted that the word segmentation in the above description is a process of recombining continuous word sequences into word sequences according to a certain specification. For example: the Chinese character string can obtain four word segmentation units of '1 ten thousand advertisement fee', 'college student', 'simple' and 'rice steamer' after word segmentation. In addition, the plan "put 1 ten thousand advertising fees and market the simple rice steamer to the college student group" is decomposed into a word sequence having four lemmas, i.e., the target marketing plan keyword in the embodiment of the present invention.
Step S204, screening user tags related to the text data after word segmentation from a user data set;
in an alternative embodiment, the filtering of the user data set for user tags related to the segmented text data comprises:
extracting marketing key words from the text data after word segmentation to obtain a target marketing label;
and screening the user tags corresponding to the target marketing tags 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 is matched with the target marketing label, so that a more accurate target customer group is obtained.
Step S205, determining a target customer according to the user label related to the target marketing plan;
step S206, marketing information is pushed to the target client within the target marketing budget.
In the embodiment of the invention, a client behavior thermodynamic diagram of the commodity to be pushed is generated by acquiring and counting historical data of the information page of the commodity to be pushed; the customer behavior thermodynamic diagram refers to a frequency statistical diagram of the specific behavior of the customer in each flow unit of the to-be-pushed commodity information page; analyzing the client behavior thermodynamic diagram to obtain target marketing information and a target marketing plan aiming at the to-be-pushed commodity information page, wherein the target marketing plan comprises a target marketing budget; screening out user tags related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user tags; determining a target customer according to the user label related to the target marketing plan; pushing marketing information to the target customer within the target marketing budget. And based on the user tags, target customers in each marketing process are accurately determined, marketing information is pushed to the target customers to promote the completion of commodity transaction, and the influence of the marketing information on the completion of the marketing process is further 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 used for acquiring and counting historical data of an information page of a 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 the specific behavior of the customer in each flow unit of the to-be-pushed commodity information page;
the analysis module 102 is configured to analyze the customer behavior thermodynamic diagram to obtain target marketing information 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 out a user tag 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 comprises: a behavior tag and a base tag; the construction of the user data set comprises:
the traversal module is used for traversing all the 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 to generate behavior tags for all the users;
in an optional embodiment, the user tag further comprises a service tag; after the historical behavior data and the historical operation data are respectively analyzed and the used behavior tags of all the users are generated, the method further comprises the following steps:
mining all the behavior tags and basic tags of the users to obtain service tags of the users, wherein the service tags are used for representing relevant marketing characteristics of the users.
A recording module, configured to record a user tag of each user to form a user data set, where the base tag includes: ID, age, gender, and location information of the user.
In an optional embodiment, the screening module 103 comprises:
the word segmentation sub-module is used for segmenting words of the target marketing plan and outputting text data after word segmentation;
and the user tag screening submodule is used for screening the user tags related to the text data after word segmentation from the user data set.
In an optional embodiment, the user tag filter sub-module 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 tags corresponding to the target marketing tags from the user data set.
A determining module 104, configured to determine a target customer according to the user tag related to the target marketing plan;
a pushing module 105, configured to push marketing information to the target customer within the target marketing budget.
In an optional embodiment, the push module 105 comprises:
a selection submodule for selecting a targeted marketing means according to the targeted marketing budget;
and the pushing submodule is used for pushing marketing information to the target client through the target marketing means.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and modules may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed 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 can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone article, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be essentially or partially contributed by the prior art, or all or part of the technical solution may be embodied in a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute 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), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A marketing information pushing method based on user tags is characterized by comprising the following steps:
acquiring and counting historical data of a 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 the specific behavior of the customer in each flow unit of the to-be-pushed commodity information page;
analyzing the client behavior thermodynamic diagram to obtain target marketing information and a target marketing plan aiming at the to-be-pushed commodity information page, wherein the target marketing plan comprises a target marketing budget;
screening out user tags related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user tags;
determining a target customer according to the user label related to the target marketing plan;
pushing marketing information to the target customer within the target marketing budget.
2. The user tag-based marketing information pushing method according to claim 1, wherein the user tag comprises: an activity tag and a base tag, the base tag comprising: ID, age, gender, and location information of the user; 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 tags for all the users;
and recording the user label of each user to form a user data set.
3. The method of pushing marketing information based on user tags according to claim 1 or 2, wherein the step of filtering out the user tags related to the targeted marketing plan from a preset user data set comprises:
performing word segmentation on the target marketing plan, and outputting text data after word segmentation;
and screening the user tags related to the text data after word segmentation from the user data set.
4. The method of pushing marketing information based on user tags according to claim 3, wherein the step of filtering the user tags related to the segmented text data from the user data set comprises:
extracting marketing key words from the text data after word segmentation to obtain a target marketing label;
and screening the user tags corresponding to the target marketing tags from the user data set.
5. The user tag-based marketing information pushing method according to any one of claims 2 to 4, wherein the user tag further comprises a business tag; after the historical behavior data and the historical operation data are respectively analyzed and the used behavior tags of all the users are generated, the method further comprises the following steps:
mining all the behavior tags and basic tags of the users to obtain service tags of the users, wherein the service tags are used for representing relevant marketing characteristics of the users.
6. The method of pushing marketing information based on user tags according to any one of claims 1-5, wherein within the targeted marketing budget, pushing marketing information to the targeted customers comprises:
selecting a target marketing means according to the target marketing budget;
and pushing marketing information to the target customer through the target marketing means.
7. A marketing information pushing device based on a user label is characterized by comprising:
the acquisition module is used for acquiring and counting historical data of a 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 the specific behavior of the customer in each flow unit of the to-be-pushed commodity information page;
the analysis module is used for analyzing the client behavior thermodynamic diagram to obtain target marketing information and a target marketing plan aiming at the to-be-pushed commodity information page, and the target marketing plan comprises a target marketing budget;
the screening module is used for screening out user tags related to the target marketing plan from a preset user data set, wherein the user data set comprises users and corresponding user tags;
the determining module is used for determining a target customer according to the user label related to the target marketing plan;
and the pushing module is used for pushing marketing information to the target client within the target marketing budget.
8. The user tag-based marketing information pushing device according to claim 7, wherein the user tag comprises: an activity tag and a base tag, the base tag comprising: ID, age, gender, and location information of the user; the construction of the user data set comprises:
the traversal module is used for traversing all the 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 to generate behavior tags for all the users;
and the recording module is used for recording the user label of each user to form a user data set.
9. The user tag-based marketing information pushing device according to claim 7 or 8, wherein the filtering module comprises:
the word segmentation sub-module is used for segmenting words of the target marketing plan and outputting text data after word segmentation;
and the user tag screening submodule is used for screening the user tags related to the text data after word segmentation from the user data set.
10. The user tag-based marketing information pushing device according to claim 9, 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 tags corresponding to the target marketing tags from the user data set.
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