CN110807664A - Cross-platform customer marketing method and device - Google Patents
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Abstract
The invention provides a cross-platform customer marketing method and a cross-platform customer marketing device, which relate to the technical field of data processing, and are characterized in that first film watching information of a first user is obtained, wherein the first film watching information is a first film and television play watched by the first user; acquiring first commodity information according to the first movie and television play, wherein the first commodity information is related commodity information recommended in the first movie and television play; obtaining first label information according to the first commodity information; obtaining first shopping cart information of a first user on a first e-commerce platform, wherein the first shopping cart has second commodity information; obtaining second label information according to the second commodity information; judging whether the first label information and the second label information have a first association relation or not; when the first label information and the second label information have a first incidence relation, the first commodity is placed in the first shopping cart, and therefore the technical effect of improving the accuracy and the hit rate of E-commerce advertisements is achieved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a cross-platform customer marketing method and a cross-platform customer marketing device.
Background
The online shopping is that commodity information is searched through the Internet, a shopping request is sent out through an electronic purchase order, then a private check account number or a credit card number is filled, and a manufacturer delivers goods through a mail order mode or delivers goods to the home through a delivery company. In China, the general payment mode is money to delivery (direct bank transfer, online remittance) and the guarantee transaction is payment to delivery, etc. With the popularization of the internet, the advantages of online shopping are more prominent and increasingly become an important shopping form. However, the number of new net visitors is reduced, and the number of old net visitors is reduced, so that the number of net users is increased slowly. And along with the slowing of the acceleration of Chinese netizens, the increase speed and the absolute increase of Chinese network shopping users fall back. In order to attract the eyes of users, the e-commerce platform adopts various marketing means, such as people in television screenplay inserting advertisements, time-limited discounts, gift sales promotion, consumer coupons and the like.
However, the applicant of the present invention finds that the prior art has at least the following technical problems:
the e-commerce brand selects advertisement marketing, and when a user watches the associated commodities recommended in the movie theater, the associated commodities can be attracted by the movie theater, the memory points of the commodities are few, so that the advertisement putting precision is poor, the target crowd cannot be efficiently identified, and the marketing conversion rate is low.
Disclosure of Invention
The embodiment of the invention provides a cross-platform customer marketing method and a cross-platform customer marketing device, which solve the technical problems that in the prior art, when an e-commerce brand party selects advertisements for marketing, the advertisement putting precision is poor, target crowds cannot be efficiently determined, and the marketing conversion rate is low, and achieve the technical effects of improving the accuracy and the hit rate of e-commerce advertisements, accurately implementing marketing on the target crowds, improving the conversion rate and the purchase rate, improving the output value and reducing the labor cost.
In view of the above problems, the embodiments of the present application are proposed to provide a cross-platform customer marketing method and apparatus.
In a first aspect, the present invention provides a cross-platform customer marketing method, the method comprising: acquiring first viewing information of a first user, wherein the first viewing information is a first movie and television play watched by the first user; obtaining first commodity information according to the first movie and television play, wherein the first commodity information is related commodity information recommended in the first movie and television play; obtaining first label information according to the first commodity information; obtaining first shopping cart information of a first user on a first e-commerce platform, wherein the first shopping cart has second commodity information; obtaining second label information according to the second commodity information; judging whether the first label information and the second label information have a first association relation or not; and when the first label information and the second label information have a first association relationship, placing the first commodity into the first shopping cart.
Preferably, when the first tag information and the second tag information have a first association relationship, placing the first article in the first shopping cart includes:
obtaining a first price of the first commodity according to the first commodity information; obtaining a second price of the second commodity according to the second commodity information; calculating the closeness of the first association relation according to the first price, the second price, the first label information and the second label information; judging whether the closeness of the first incidence relation exceeds a first preset threshold value or not; and when the closeness of the first incidence relation exceeds a first preset threshold value, placing the first commodity into the first shopping cart.
Preferably, when the first tag information and the second tag information have a first association relationship, placing the first article in the first shopping cart includes:
the method comprises the steps of obtaining first historical order information of a first user on a first e-commerce platform, wherein the first historical order information comprises third commodity information; obtaining third label information according to the third commodity information; judging whether the third label information and the first label information have a first association relation or not; when the first association relationship exists, determining the purchase times of the first user for purchasing the third commodity; judging whether the purchase frequency of the first user for purchasing the third commodity exceeds a second preset threshold value or not; and when the number of times of purchase exceeds a second preset threshold value, placing the first commodity into the first shopping cart.
Preferably, the method further comprises:
the method comprises the steps of obtaining first browsed commodity information of a first user on a first e-commerce platform, wherein the first browsed commodity information comprises fourth commodity information; obtaining first viewing information of a first user, wherein the first viewing information comprises a first time when the first user views a first movie; and pushing the fourth commodity information to the first user according to the first time.
Preferably, the method further comprises:
obtaining second shopping cart information of the first e-commerce platform of the first user within a preset time; determining first demand information of the first user in a preset time according to the second shopping cart information; and obtaining first recommendation information at a sharing discovery unit of a second e-commerce platform according to the first demand information, and sending the first recommendation information to the first user, wherein the first recommendation information is commodity information associated with a first demand.
In a second aspect, the present invention provides a cross-platform customer marketing apparatus, the apparatus comprising:
a first obtaining unit, configured to obtain first viewing information of a first user, where the first viewing information is a first movie and television play watched by the first user;
a second obtaining unit, configured to obtain first commodity information according to the first movie and television play, where the first commodity information is associated commodity information recommended in the first movie and television play;
a third obtaining unit configured to obtain first tag information according to the first commodity information;
a fourth obtaining unit, configured to obtain first shopping cart information of the first user on a first e-commerce platform, where the first shopping cart has second commodity information;
a fifth obtaining unit, configured to obtain second tag information according to the second commodity information;
a first judging unit, configured to judge whether the first tag information and the second tag information have a first association relationship;
the first execution unit is used for placing the first commodity into the first shopping cart when the first label information and the second label information have a first association relationship.
Preferably, the placing the first article in the first shopping cart when the first tag information and the second tag information have a first association relationship in the first execution unit includes:
a sixth obtaining unit configured to obtain a first price of the first commodity according to the first commodity information;
a seventh obtaining unit configured to obtain a second price of the second commodity according to the second commodity information;
an eighth obtaining unit, configured to calculate, according to the first price, the second price, the first tag information, and the second tag information, a closeness of the first association obtained;
a second judging unit, configured to judge whether the closeness of the first association exceeds a first preset threshold;
a second executing unit, configured to place the first commodity into the first shopping cart when the closeness of the first association exceeds a first preset threshold.
Preferably, when the first tag information and the second tag information have a first association relationship, the placing the first article in the first shopping cart in the first execution unit includes:
a ninth obtaining unit, configured to obtain first historical order information of a first user on a first e-commerce platform, where the first historical order information includes third commodity information;
a tenth obtaining unit configured to obtain third tag information according to the third article information;
a third judging unit, configured to judge whether the third tag information and the first tag information have a first association relationship;
a first determining unit configured to determine a number of times of purchase of the third product by the first user when the first determining unit has a first association relationship;
a fourth judging unit, configured to judge whether the number of times of purchase of the third commodity by the first user exceeds a second preset threshold;
and the third execution unit is used for placing the first commodity into the first shopping cart when the number of times of purchase exceeds a second preset threshold value.
Preferably, the apparatus further comprises:
an eleventh obtaining unit, configured to obtain first browsed commodity information of a first user on a first e-commerce platform, where the first browsed commodity information includes fourth commodity information;
a twelfth obtaining unit, configured to obtain first viewing information of a first user, where the first viewing information includes a first time when the first user views a first movie;
and the fourth execution unit is used for pushing the fourth commodity information to the first user according to the first time.
Preferably, the apparatus further comprises:
a thirteenth obtaining unit for obtaining second shopping cart information of the first user at the first e-commerce platform within a predetermined time;
the second determining unit is used for determining first demand information of the first user in a preset time according to the second shopping cart information;
the fifth execution unit is used for obtaining first recommendation information in a sharing discovery unit of a second e-commerce platform according to the first demand information and sending the first recommendation information to the first user, wherein the first recommendation information is commodity information associated with the first demand.
In a third aspect, the present invention provides a cross-platform customer marketing system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor performing the steps of any of the methods described above.
In a fourth aspect, the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods described above.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the cross-platform customer marketing method and device provided by the embodiment of the invention, first film watching information of a first user is obtained, wherein the first film watching information is a first film play watched by the first user; obtaining first commodity information according to the first movie and television play, wherein the first commodity information is related commodity information recommended in the first movie and television play; obtaining first label information according to the first commodity information; obtaining first shopping cart information of a first user on a first e-commerce platform, wherein the first shopping cart has second commodity information; obtaining second label information according to the second commodity information; judging whether the first label information and the second label information have a first association relation or not; when the first label information and the second label information have the first incidence relation, the first commodity is placed into the first shopping cart, so that the technical problems that in the prior art, when an e-commerce brand party selects advertisement marketing, the advertisement putting precision is poor, target crowds cannot be efficiently defined, and the marketing conversion rate is low are solved, the accuracy and the hit rate of e-commerce advertisements are improved, the marketing is accurately carried out on the target crowds, the conversion rate and the purchase rate are improved, the output value is improved, and the labor cost is reduced are solved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
FIG. 1 is a flow chart illustrating a cross-platform customer marketing method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a cross-platform customer marketing system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another cross-platform customer marketing device according to an embodiment of the present invention.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a first judging unit 16, a first executing unit 17, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 306.
Detailed Description
The embodiment of the invention provides a cross-platform customer marketing method and a cross-platform customer marketing device, which are used for solving the technical problems that when an e-commerce brand party selects advertisements for marketing, the advertisement putting precision is poor, target crowds cannot be efficiently identified, and the marketing conversion rate is low in the prior art.
The technical scheme provided by the invention has the following general idea: acquiring first viewing information of a first user, wherein the first viewing information is a first movie and television play watched by the first user; obtaining first commodity information according to the first movie and television play, wherein the first commodity information is related commodity information recommended in the first movie and television play; obtaining first label information according to the first commodity information; obtaining first shopping cart information of a first user on a first e-commerce platform, wherein the first shopping cart has second commodity information; obtaining second label information according to the second commodity information; judging whether the first label information and the second label information have a first association relation or not; when the first label information and the second label information have a first incidence relation, the first commodity is placed into the first shopping cart, so that the aims of improving the accuracy and the hit rate of E-commerce advertisements are achieved, marketing is accurately implemented for target crowds, the conversion rate and the purchase rate are improved, the output value is improved, and the technical effect of reducing the labor cost is achieved.
The technical solutions of the present invention are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present invention are described in detail in the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Example one
Fig. 1 is a flowchart illustrating a cross-platform customer marketing method according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a cross-platform customer marketing method, where the method includes:
step 110: the method comprises the steps of obtaining first viewing information of a first user, wherein the first viewing information is a first movie and television play watched by the first user.
Specifically, the cross-platform customer marketing method in the embodiment of the application obtains a first movie and television show watched by a first user, obtains first commodity information in an advertisement launched in the first movie and television show, obtains first label information of a first commodity, obtains first shopping cart information of the first user on a first e-commerce platform, contains second commodity information in the first shopping cart, obtains a second label of a second commodity, compares that a first correlation relationship exists between the first label and the second label, places the first commodity in the first shopping cart, and places the first commodity in the first shopping cart of the first e-commerce platform due to the correlation relationship between the label information of the first commodity and the label information of the second commodity, so that the user can purchase the first commodity conveniently, accuracy and hit rate of the e-commerce advertisement are improved, and marketing is accurately performed on target crowds, the conversion rate and the purchase rate are improved, the output value is improved, and the labor cost is reduced. First, the first viewing information is a first movie watched by the first user. The first viewing information is not limited to a movie and television play, and also includes a video or a short video on application software, such as a video or a tremble on a beep, and a short video on a micro-view. By obtaining the first viewing information, it is possible to obtain advertisement information embedded in the first movie and television show or advertisement information inserted by actors in the movie and television show, such as drinks drunk by characters in the movie and television story line, cosmetics used, or advertisements about chewing gum inserted by actors in the movie and television show.
Step 120: and obtaining first commodity information according to the first movie and television play, wherein the first commodity information is the associated commodity information recommended in the first movie and television play.
Step 130: and obtaining first label information according to the first commodity information.
Specifically, the first commodity information is obtained according to advertisement information implanted in the first movie and television show or advertisement information inserted by actors in the movie and television show, that is, the first commodity information is related commodity information recommended by an advertisement in the first movie and television show. For example, a recent hot cast episode has emerged with a certain brand of cosmetics used by actress. And obtaining first label information through the first commodity information, and marking the first label information for the first commodity according to the efficacy, the effect or the applicable group of the commodity. For example, when a certain movie and television show is watched by a certain plum, a certain brand of cosmetics used by actress appears in the movie and television show, the name, efficacy and the like of the cosmetics are obtained according to the brand of cosmetics, such as cream, and basic skin care is used as label information of the commodity.
Step 140: first shopping cart information of the first user on a first E-commerce platform is obtained, wherein the first shopping cart has second commodity information.
Step 150: and obtaining second label information according to the second commodity information.
Specifically, by obtaining first shopping cart information of a first user on a first e-commerce platform, the first shopping cart information is information of the first user adding an intention commodity into a shopping cart on the first e-commerce platform, and the first shopping cart is provided with a second commodity, such as an intention commodity of a Li-De-Bao net added into the shopping cart, bread, sweater, toner, milky lotion, lipstick and the like. And obtaining second label information of the second commodity according to the second commodity information, wherein the second label is inherent attribute, efficacy, action or applicable group information of the second commodity. For example, li zhi is loaded with various commodities in a shopping cart of a treasure collection net, wherein cosmetics include lipstick, eye shadow, makeup remover, toner and the like, and the toner is used as a second commodity and labeled as moisturizing and skin-care.
Step 160: and judging whether the first label information and the second label information have a first association relation.
Step 170: and when the first label information and the second label information have a first association relationship, placing the first commodity into the first shopping cart.
Further, when the first tag information and the second tag information have a first association relationship, placing the first item in the first shopping cart includes: obtaining a first price of the first commodity according to the first commodity information; obtaining a second price of the second commodity according to the second commodity information; calculating the closeness of the first association relation according to the first price, the second price, the first label information and the second label information; judging whether the closeness of the first incidence relation exceeds a first preset threshold value or not; and when the closeness of the first incidence relation exceeds a first preset threshold value, placing the first commodity into the first shopping cart.
Further, when the first tag information and the second tag information have a first association relationship, placing the first item in the first shopping cart includes: the method comprises the steps of obtaining first historical order information of a first user on a first e-commerce platform, wherein the first historical order information comprises third commodity information; obtaining third label information according to the third commodity information; judging whether the third label information and the first label information have a first association relation or not; when the first association relationship exists, determining the purchase times of the first user for purchasing the third commodity; judging whether the purchase frequency of the first user for purchasing the third commodity exceeds a second preset threshold value or not; and when the number of times of purchase exceeds a second preset threshold value, placing the first commodity into the first shopping cart.
Specifically, whether the first label and the second label have the first association relationship is judged by comparing, that is, the semantics of the first label and the second label are judged through semantic analysis, so as to determine whether the first label and the second label have the association, if the first label is used as the basis skin care, and the second label is used as the moisturizing skin care, the first label and the second label have the association. The first label is the food material, and the second label is the dress, and then the two have no relevance. When the first label and the second label have a first association relationship, whether the first commodity is put into the first shopping cart is judged in two ways. Firstly, the closeness of the first association relation is calculated according to the prices of the first commodity and the second commodity, the first label and the second label, and then the first commodity is placed in the first shopping cart according to the closeness. That is to say, by obtaining a first price of a first commodity and a second price of a second commodity, calculating a difference between the first price and the second price, calculating a similarity between the first label and the second label, and calculating a closeness of the first association relationship according to a price difference between the first price and the second price and the similarity between the first label and the second label, where the price of the first commodity is 280 yuan, the price of the second commodity is 350 yuan, the first label is a basic skin care, the second label is a moisturizing skin care, the similarity between the first label and the second label is 85%, and the closeness is calculated to be 68% according to a set price coefficient. Setting a first preset threshold value, such as 55%, of the closeness of the first association relationship, determining whether the closeness of the first association relationship exceeds the first preset threshold value, and placing the first commodity in the first shopping cart of the first user when the closeness of the first association relationship exceeds the first preset threshold value. And secondly, obtaining third commodities purchased by the first user according to the historical order information of the first user, determining that the first user purchases the third commodities for multiple times when the third commodities have a correlation with the first commodities, and placing the first commodities in a first shopping cart of the first user. The first user purchases a third commodity by obtaining first historical order information of the first user on the first e-commerce platform, third label information of the third commodity is marked, and first relevance is judged according to semantics of the third label and the first label, if the third label is baked food and the first label is dairy product, the third label and the first label have first relevance. When the first association relationship exists, determining the number of times of purchasing the third commodity by the first user, that is, determining whether the first user buys the third commodity again, if the number of times of purchasing is 3. And setting a second preset threshold of the purchase frequency of the third commodity purchased by the first user, for example, setting the second preset threshold to be 2. And judging whether the purchase frequency of the first user for purchasing the third commodity exceeds a second preset threshold value or not, and when the purchase frequency exceeds the second preset threshold value, placing the first commodity into the first shopping cart to show that the first user purchases the commodity related to the first commodity, so that the accuracy and the hit rate of E-commerce advertisements can be improved, and the conversion rate and the purchase rate of the user are improved.
Therefore, through the cross-platform customer marketing method in the embodiment, the advertisement put in the movie theater can be associated with the shopping cart of the user, the association relation between the commodity in the advertisement and the commodity in the shopping cart of the user is determined according to the comparative analysis of the commodity in the advertisement and the commodity in the shopping cart of the user, and then the commodity in the advertisement is put in the shopping cart of the user, so that the accuracy and the hit rate of the e-commerce advertisement are improved, the marketing is accurately carried out on target crowds, the conversion rate and the purchase rate are improved, the output value is improved, the labor cost is reduced, and the technical problems that in the prior art, when the e-commerce brand selects the advertisement marketing, the putting accuracy of the advertisement is poor, the target crowds cannot be efficiently defined, and the marketing conversion rate.
Furthermore, the cross-platform customer marketing method in this embodiment may also be implemented by combining an Artificial Intelligence technology, wherein Artificial Intelligence (AI) is also called intelligent machine and machine Intelligence, and is a subject for researching a computer to simulate some thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, and the like) of a human, and mainly includes a principle that the computer implements Intelligence, and a computer similar to human brain Intelligence is manufactured, so that the computer can implement higher-level applications. The method comprises the following specific steps: obtaining a photo of a first movie, wherein the photo of the first movie comprises first commodity information; inputting the picture of the first movie into a model, wherein the model is obtained by machine learning training using a plurality of sets of data, and each set of data in the plurality of sets of data comprises: a first item, first identification information for identifying the first item, and second tag information for identifying a second item in a first shopping cart of a first user; and acquiring output information of the model, wherein the output information is that a first commodity is put into a first shopping cart, and the output information of the model is used for determining a first incidence relation between a first label and a second label, and then screening and determining that the first commodity is put into the first shopping cart.
Further, the training model in this embodiment is obtained by using machine learning training with multiple sets of data, where machine learning is a way to implement artificial intelligence, and has a certain similarity with data mining, and is also a multi-domain cross subject, and relates to multiple subjects such as probability theory, statistics, approximation theory, convex analysis, and computation complexity theory. Compared with the method for finding mutual characteristics among big data by data mining, the machine learning focuses on the design of an algorithm, so that a computer can learn rules from the data in a whitish manner, and unknown data can be predicted by using the rules.
Further, the method further comprises: the method comprises the steps of obtaining first browsed commodity information of a first user on a first e-commerce platform, wherein the first browsed commodity information comprises fourth commodity information; obtaining first viewing information of a first user, wherein the first viewing information comprises a first time when the first user views a first movie; and pushing the fourth commodity information to the first user according to the first time.
Specifically, first browsed commodity information of a first user on a first e-commerce platform is obtained, and the first browsed commodity information is commodity information searched by the first user on the first e-commerce platform, wherein the first browsed commodity information comprises fourth commodity information. And obtaining the first time when the first user watches the first movie and television play, and pushing the fourth commodity information to the first user at the first time. For example, the college classmates search for books of the research english on the treasure network, open a movie and television drama in weekends, and send purchase links or web page information of the books of the research english browsed on the treasure network to the college classmates when the college classmates watch the movie and television drama.
Further, the method further comprises: obtaining second shopping cart information of the first e-commerce platform of the first user within a preset time; determining first demand information of the first user in a preset time according to the second shopping cart information; and obtaining first recommendation information at a sharing discovery unit of a second e-commerce platform according to the first demand information, and sending the first recommendation information to the first user, wherein the first recommendation information is commodity information associated with a first demand.
Specifically, the second shopping cart information of the first e-commerce platform in the preset time is obtained, namely the commodity information added by the first user in the first e-commerce platform in the last month time, namely the second shopping cart information, is obtained. First demand information of the first user in the last month time, such as milk powder, diaper and the like, can be determined according to the second shopping cart information. And obtaining associated commodity information such as a feeding bottle, a baby clothes and the like in a sharing discovery unit of the second e-commerce platform according to the first requirement information, and sending the obtained associated commodity as first recommendation information to the first user. For example, the first user adds diaper to a treasure shopping cart in a month, it can be inferred that the recent demand information of the first user is mother and infant supplies, and the purchase rate can be improved by recommending the first user with knowledge about mother and infant, commodity usage, usage and other information on a small red book.
Example two
Based on the same inventive concept as the cross-platform customer marketing method in the foregoing embodiment, the present invention further provides a cross-platform customer marketing method apparatus, as shown in fig. 2, the apparatus includes:
a first obtaining unit, configured to obtain first viewing information of a first user, where the first viewing information is a first movie and television play watched by the first user;
a second obtaining unit, configured to obtain first commodity information according to the first movie and television play, where the first commodity information is associated commodity information recommended in the first movie and television play;
a third obtaining unit configured to obtain first tag information according to the first commodity information;
a fourth obtaining unit, configured to obtain first shopping cart information of the first user on a first e-commerce platform, where the first shopping cart has second commodity information;
a fifth obtaining unit, configured to obtain second tag information according to the second commodity information;
a first judging unit, configured to judge whether the first tag information and the second tag information have a first association relationship;
the first execution unit is used for placing the first commodity into the first shopping cart when the first label information and the second label information have a first association relationship.
Further, when the first tag information and the second tag information have a first association relationship, the placing the first item into the first shopping cart in the first execution unit includes:
a sixth obtaining unit configured to obtain a first price of the first commodity according to the first commodity information;
a seventh obtaining unit configured to obtain a second price of the second commodity according to the second commodity information;
an eighth obtaining unit, configured to calculate, according to the first price, the second price, the first tag information, and the second tag information, a closeness of the first association obtained;
a second judging unit, configured to judge whether the closeness of the first association exceeds a first preset threshold;
a second executing unit, configured to place the first commodity into the first shopping cart when the closeness of the first association exceeds a first preset threshold.
Further, when the first tag information and the second tag information have a first association relationship, the placing the first item into the first shopping cart in the first execution unit includes:
a ninth obtaining unit, configured to obtain first historical order information of a first user on a first e-commerce platform, where the first historical order information includes third commodity information;
a tenth obtaining unit configured to obtain third tag information according to the third article information;
a third judging unit, configured to judge whether the third tag information and the first tag information have a first association relationship;
a first determining unit configured to determine a number of times of purchase of the third product by the first user when the first determining unit has a first association relationship;
a fourth judging unit, configured to judge whether the number of times of purchase of the third commodity by the first user exceeds a second preset threshold;
and the third execution unit is used for placing the first commodity into the first shopping cart when the number of times of purchase exceeds a second preset threshold value.
Further, the apparatus further comprises:
an eleventh obtaining unit, configured to obtain first browsed commodity information of a first user on a first e-commerce platform, where the first browsed commodity information includes fourth commodity information;
a twelfth obtaining unit, configured to obtain first viewing information of a first user, where the first viewing information includes a first time when the first user views a first movie;
and the fourth execution unit is used for pushing the fourth commodity information to the first user according to the first time.
Further, the apparatus further comprises:
a thirteenth obtaining unit for obtaining second shopping cart information of the first user at the first e-commerce platform within a predetermined time;
the second determining unit is used for determining first demand information of the first user in a preset time according to the second shopping cart information;
the fifth execution unit is used for obtaining first recommendation information in a sharing discovery unit of a second e-commerce platform according to the first demand information and sending the first recommendation information to the first user, wherein the first recommendation information is commodity information associated with the first demand.
Various changes and specific examples of the cross-platform customer marketing method in the first embodiment of fig. 1 are also applicable to the cross-platform customer marketing device of the present embodiment, and those skilled in the art can clearly understand the implementation method of the cross-platform customer marketing device in the present embodiment through the foregoing detailed description of the cross-platform customer marketing method, so for the brevity of the description, detailed descriptions are omitted here.
EXAMPLE III
Based on the same inventive concept as the cross-platform customer marketing method in the foregoing embodiment, the present invention further provides a cross-platform customer marketing device, as shown in fig. 3, including a memory 304, a processor 302, and a computer program stored in the memory 304 and executable on the processor 302, wherein the processor 302 executes the computer program to implement the steps of any one of the foregoing cross-platform customer marketing methods.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 306 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other apparatus over a transmission medium. The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
Example four
Based on the same inventive concept as the cross-platform customer marketing method in the foregoing embodiments, the present invention also provides a computer-readable storage medium having a computer program stored thereon, which when executed by a processor, implements the steps of: acquiring first viewing information of a first user, wherein the first viewing information is a first movie and television play watched by the first user; obtaining first commodity information according to the first movie and television play, wherein the first commodity information is related commodity information recommended in the first movie and television play; obtaining first label information according to the first commodity information; obtaining first shopping cart information of a first user on a first e-commerce platform, wherein the first shopping cart has second commodity information; obtaining second label information according to the second commodity information; judging whether the first label information and the second label information have a first association relation or not; and when the first label information and the second label information have a first association relationship, placing the first commodity into the first shopping cart.
In a specific implementation, when the program is executed by a processor, any method step in the first embodiment may be further implemented.
One or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects:
according to the cross-platform customer marketing method and device provided by the embodiment of the invention, first film watching information of a first user is obtained, wherein the first film watching information is a first film play watched by the first user; obtaining first commodity information according to the first movie and television play, wherein the first commodity information is related commodity information recommended in the first movie and television play; obtaining first label information according to the first commodity information; obtaining first shopping cart information of a first user on a first e-commerce platform, wherein the first shopping cart has second commodity information; obtaining second label information according to the second commodity information; judging whether the first label information and the second label information have a first association relation or not; when first label information with when second label information has first incidence relation, will first commodity is put into in the first shopping cart to when having solved among the prior art electricity merchant brand side and chose the advertisement marketing, there is the input precision of advertisement poor, can't high-efficiently circle the target crowd, the technical problem that the conversion rate of marketing is low, reached the target crowd of accurate circle electricity merchant brand side, improve the value degree of customer group, improve the marketing conversion rate, realize the technological effect of accurate marketing.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A cross-platform customer marketing method, the method comprising:
acquiring first viewing information of a first user, wherein the first viewing information is a first movie and television play watched by the first user;
obtaining first commodity information according to the first movie and television play, wherein the first commodity information is related commodity information recommended in the first movie and television play;
obtaining first label information according to the first commodity information;
obtaining first shopping cart information of a first user on a first e-commerce platform, wherein the first shopping cart has second commodity information;
obtaining second label information according to the second commodity information;
judging whether the first label information and the second label information have a first association relation or not;
and when the first label information and the second label information have a first association relationship, placing the first commodity into the first shopping cart.
2. The method of claim 1, wherein said placing said first item in said first shopping cart when said first tag information and said second tag information have a first association comprises:
obtaining a first price of the first commodity according to the first commodity information;
obtaining a second price of the second commodity according to the second commodity information;
calculating the closeness of the first association relation according to the first price, the second price, the first label information and the second label information;
judging whether the closeness of the first incidence relation exceeds a first preset threshold value or not;
and when the closeness of the first incidence relation exceeds a first preset threshold value, placing the first commodity into the first shopping cart.
3. The method of claim 1, wherein said placing said first item in said first shopping cart when said first tag information and said second tag information have a first association comprises:
the method comprises the steps of obtaining first historical order information of a first user on a first e-commerce platform, wherein the first historical order information comprises third commodity information;
obtaining third label information according to the third commodity information;
judging whether the third label information and the first label information have a first association relation or not;
when the first association relationship exists, determining the purchase times of the first user for purchasing the third commodity;
judging whether the purchase frequency of the first user for purchasing the third commodity exceeds a second preset threshold value or not;
and when the number of times of purchase exceeds a second preset threshold value, placing the first commodity into the first shopping cart.
4. The method of claim 1, wherein the method further comprises:
the method comprises the steps of obtaining first browsed commodity information of a first user on a first e-commerce platform, wherein the first browsed commodity information comprises fourth commodity information;
obtaining first viewing information of a first user, wherein the first viewing information comprises a first time when the first user views a first movie;
and pushing the fourth commodity information to the first user according to the first time.
5. The method of claim 1, wherein the method further comprises:
obtaining second shopping cart information of the first e-commerce platform of the first user within a preset time;
determining first demand information of the first user in a preset time according to the second shopping cart information;
and obtaining first recommendation information at a sharing discovery unit of a second e-commerce platform according to the first demand information, and sending the first recommendation information to the first user, wherein the first recommendation information is commodity information associated with a first demand.
6. A cross-platform customer marketing apparatus, the apparatus comprising:
a first obtaining unit, configured to obtain first viewing information of a first user, where the first viewing information is a first movie and television play watched by the first user;
a second obtaining unit, configured to obtain first commodity information according to the first movie and television play, where the first commodity information is associated commodity information recommended in the first movie and television play;
a third obtaining unit configured to obtain first tag information according to the first commodity information;
a fourth obtaining unit, configured to obtain first shopping cart information of the first user on a first e-commerce platform, where the first shopping cart has second commodity information;
a fifth obtaining unit, configured to obtain second tag information according to the second commodity information;
a first judging unit, configured to judge whether the first tag information and the second tag information have a first association relationship;
the first execution unit is used for placing the first commodity into the first shopping cart when the first label information and the second label information have a first association relationship.
7. A cross-platform consumer marketing apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to perform the steps of the method of any one of claims 1-5.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
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