CN110807665A - Method and device for improving conversion rate of marketing commodities - Google Patents

Method and device for improving conversion rate of marketing commodities Download PDF

Info

Publication number
CN110807665A
CN110807665A CN201911054188.7A CN201911054188A CN110807665A CN 110807665 A CN110807665 A CN 110807665A CN 201911054188 A CN201911054188 A CN 201911054188A CN 110807665 A CN110807665 A CN 110807665A
Authority
CN
China
Prior art keywords
commodity
information
user
obtaining
shopping cart
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201911054188.7A
Other languages
Chinese (zh)
Inventor
刘铁
熊磊
许先才
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Yunintegral Technology Co Ltd
Original Assignee
Shenzhen Yunintegral Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Yunintegral Technology Co Ltd filed Critical Shenzhen Yunintegral Technology Co Ltd
Priority to CN201911054188.7A priority Critical patent/CN110807665A/en
Publication of CN110807665A publication Critical patent/CN110807665A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0251Targeted advertisements
    • G06Q30/0255Targeted advertisements based on user history
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a method and a device for improving the conversion rate of marketing commodities, which relate to the technical field of data processing and are used for obtaining first commodity information of a first shop; 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 second commodity information according to the first movie and television play, wherein the second commodity information is the associated commodity information recommended in the first movie and television play; determining that the first commodity and the second commodity have a first association relation according to the first commodity information and the second commodity information; placing the first commodity into the first shopping cart according to the first incidence relation; the first label information of the first commodity in the first shopping cart is obtained, and the first label information is sent to the first user, so that the aims of accurately putting advertisements to target people are achieved, the hit rate and accuracy of E-commerce advertisements are improved, the customer obtaining cost is reduced, and the technical effect of the output value is improved.

Description

Method and device for improving conversion rate of marketing commodities
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for improving the conversion rate of marketing commodities.
Background
The basic definition of electronic commerce is a novel business operation mode which is used for enabling buyers and sellers to conduct various business activities without conspiracy in the wide business activities all over the world and under the open network environment of the internet based on a browser/server application mode, and realizing online shopping of consumers, online transactions and online electronic payment among merchants, various business activities and related comprehensive service activities. At present, the brand of the e-commerce attracts the eyes of people mainly through marketing means such as time-limited discount, gift sales promotion, preferential package, multi-person group, price cutting, value card, point store, charging and having a good gift and the like in the forms of television media, outdoor electronic screens and the like.
However, the applicant of the present invention finds that the prior art has at least the following technical problems:
when the electric commodity board adopts the television media to put advertisements, the target population cannot be accurately defined, so that the hit rate and the accuracy of the electric commercial advertisements are low, and the commodity conversion rate is low.
Disclosure of Invention
The embodiment of the invention provides a method and a device for improving the conversion rate of marketing commodities, which solve the technical problems that the target population cannot be accurately defined when an electronic commodity board adopts a television medium to put advertisements in the prior art, so that the hit rate and the accuracy of electronic commerce advertisements are low and the commodity conversion rate is low, and achieve the technical effects of accurately putting advertisements to the target population, improving the hit rate and the accuracy of electronic commerce advertisements, reducing the customer acquisition cost and improving the output value.
In view of the above problems, embodiments of the present application are proposed to provide a method and apparatus for improving conversion rate of marketing goods.
In a first aspect, the present invention provides a method for increasing the conversion rate of a marketed commodity, said method comprising: obtaining first commodity information of a first shop, wherein the first shop is a shop on a first e-commerce platform; 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 second commodity information according to the first movie and television play, wherein the second commodity information is related commodity information recommended in the first movie and television play; determining that the first commodity and the second commodity have a first association relation according to the first commodity information and the second commodity information; placing the first commodity into the first shopping cart according to the first incidence relation; and obtaining first label information of a first commodity in the first shopping cart, and sending the first label information to the first user.
Preferably, the determining that the first commodity and the second commodity have the first association relationship according to the first commodity information and the second commodity information includes:
acquiring first basic attribute information of a first commodity; obtaining second basic attribute information of a second commodity; judging whether the first basic attribute and the second basic attribute have first similarity or not; when the first basic attribute and the second basic attribute have first similarity, determining that the first commodity and the second commodity have a first association relationship.
Preferably, the placing the first item into the first shopping cart according to the first association includes:
obtaining a first price for a first commodity; obtaining a second price for the second item; obtaining a price difference between the first price and the second price according to the first price and the second price; determining whether the price difference between the first price and the second price exceeds a first predetermined threshold; placing the first item in the first shopping cart when the price differential does not exceed a first predetermined threshold.
Preferably, the placing the first item into the first shopping cart according to the first association includes:
obtaining first search information of the first user on a first e-commerce platform; determining first interest information of the first user according to the first search information; determining the correlation degree of the first interest information and the first commodity according to the first interest information; judging whether the correlation degree of the first interest information and the first commodity exceeds a second preset threshold value or not; placing the first item in the first shopping cart when the correlation exceeds a second predetermined threshold.
Preferably, the method further comprises:
obtaining first historical order information of a first user on the first e-commerce platform within a preset time; determining second shop information according to the first historical order information, wherein the consumption amount of the first user in the second shop is the largest in a preset time; determining third commodity information purchased by the first user in a first time period of the second shop according to the consumption amount; judging whether the third commodity and the first commodity have a first association relation or not; when the first association relationship exists, the first commodity is placed in the first shopping cart; and obtaining first label information of a first commodity in the first shopping cart, and sending the first label information to the first user.
Preferably, the determining third merchandise information purchased by the first user in the first time period of the second shop according to the consumption amount comprises:
obtaining a fourth item of the second store, wherein the fourth item is a new item of the second store at the second time; judging whether the fourth commodity and the third commodity have a first association relation or not; when the first association relationship exists, the fourth commodity is put into the first shopping cart; and obtaining second label information of a fourth commodity in the first shopping cart, and sending the second label information to the first user.
In a second aspect, the present invention provides an apparatus for increasing conversion rate of a marketing good, the apparatus comprising:
a first obtaining unit, configured to obtain first commodity information of a first store, where the first store is a shop on a first e-commerce platform;
a second 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 third obtaining unit, configured to obtain second commodity information according to the first movie and television play, where the second commodity information is associated commodity information recommended in the first movie and television play;
a first determining unit, configured to determine, according to the first commodity information and the second commodity information, that the first commodity and the second commodity have a first association relationship;
the first execution unit is used for placing the first commodity into the first shopping cart according to the first association relation;
and the second execution unit is used for obtaining first label information of a first commodity in the first shopping cart and sending the first label information to the first user.
Preferably, the determining, by the first determining unit, that the first product and the second product have the first association relationship based on the first product information and the second product information includes:
a fourth obtaining unit configured to obtain first basic attribute information of a first commodity;
a fifth obtaining unit configured to obtain second basic attribute information of a second commodity;
a first judging unit, configured to judge whether the first basic attribute and the second basic attribute have a first similarity;
a second determining unit configured to determine that the first item and the second item have a first association relationship when the first base attribute and the second base attribute have a first similarity.
Preferably, the placing the first commodity into the first shopping cart according to the first association relationship in the first execution unit includes:
a sixth obtaining unit configured to obtain a first price of the first commodity;
a seventh obtaining unit configured to obtain a second price of the second commodity;
an eighth obtaining unit configured to obtain a price difference between the first price and the second price according to the first price and the second price;
a second determination unit for determining whether the price difference between the first price and the second price exceeds a first predetermined threshold;
a third execution unit for placing the first item in the first shopping cart when the price difference does not exceed a first predetermined threshold.
Preferably, the placing the first commodity into the first shopping cart according to the first association relationship in the first execution unit includes:
a ninth obtaining unit, configured to obtain first search information of the first user on a first e-commerce platform;
a third determining unit, configured to determine first interest information of the first user according to the first search information;
a fourth determining unit, configured to determine, according to the first interest information, a degree of correlation between the first interest information and the first commodity;
a third judging unit, configured to judge whether a degree of correlation between the first interest information and the first commodity exceeds a second predetermined threshold;
a fourth execution unit for placing the first item in the first shopping cart when the degree of correlation exceeds a second predetermined threshold.
Preferably, the apparatus further comprises:
a tenth obtaining unit, configured to obtain first historical order information of the first e-commerce platform for a first user within a predetermined time;
a fifth determining unit configured to determine second store information according to the first historical order information, wherein the consumption amount of the second store is the largest by the first user in a predetermined time;
a sixth determining unit configured to determine, according to the consumption amount, third commodity information purchased by the first user at the second store for a first time period;
a fourth judging unit, configured to judge whether the third commodity and the first commodity have a first association relationship;
a fifth execution unit, configured to place the first item in the first shopping cart when the first item has a first association relationship;
a sixth execution unit, configured to obtain first tag information of a first commodity in the first shopping cart, and send the first tag information to the first user.
Preferably, the sixth determining unit, after determining the third item information purchased by the first user at the first time period of the second store according to the amount of the consumed money, includes:
an eleventh obtaining unit configured to obtain a fourth item of the second store, wherein the fourth item is a new item of the second store at the second time;
a fifth judging unit, configured to judge whether the fourth commodity and the third commodity have a first association relationship;
a seventh executing unit, configured to place the fourth commodity in the first shopping cart when the fourth commodity has the first association relationship;
an eighth execution unit, configured to obtain second tag information of a fourth product in the first shopping cart, and send the second tag information to the first user.
In a third aspect, the present invention provides an apparatus for increasing conversion rate of a marketing good, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any one of the above methods when executing the program.
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 method and the device for improving the conversion rate of the marketing commodity, provided by the embodiment of the invention, the first commodity information of a first shop is obtained, wherein the first shop is a shop on a first e-commerce platform; 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 second commodity information according to the first movie and television play, wherein the second commodity information is related commodity information recommended in the first movie and television play; determining that the first commodity and the second commodity have a first association relation according to the first commodity information and the second commodity information; placing the first commodity into the first shopping cart according to the first incidence relation; the method comprises the steps of obtaining first label information of a first commodity in the first shopping cart, and sending the first label information to a first user, so that the technical problems that when an electronic commodity board side adopts a television medium to put advertisements in the prior art, target crowds cannot be accurately defined, the hit rate and accuracy of electronic commerce advertisements are low, and commodity conversion rate is low are solved, the technical effects of accurately putting the advertisements to the target crowds, improving the hit rate and accuracy of the electronic commerce advertisements, reducing customer acquisition cost and improving output value are achieved.
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 schematic flow chart of a method for increasing conversion of a marketing good according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an apparatus for increasing conversion rate of a marketing commodity according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of another apparatus for increasing conversion rate of marketing goods in the 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 first determining unit 14, a first executing unit 15, a second executing unit 16, 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 method and a device for improving the conversion rate of marketing commodities, which are used for solving the technical problems that in the prior art, when an electric commodity plate party adopts a television medium to put advertisements, target crowds cannot be accurately defined, so that the hit rate and the accuracy rate of electric commercial advertisements are low, and the commodity conversion rate is low.
The technical scheme provided by the invention has the following general idea: obtaining first commodity information of a first shop, wherein the first shop is a shop on a first e-commerce platform; 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 second commodity information according to the first movie and television play, wherein the second commodity information is related commodity information recommended in the first movie and television play; determining that the first commodity and the second commodity have a first association relation according to the first commodity information and the second commodity information; placing the first commodity into the first shopping cart according to the first incidence relation; the first label information of the first commodity in the first shopping cart is obtained, and the first label information is sent to the first user, so that the technical effects of accurately putting advertisements to target people, improving the hit rate and accuracy of E-commerce advertisements, reducing the customer obtaining cost and improving the output value are 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 schematic flow chart of a method for increasing conversion rate of marketing goods in an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a method for increasing conversion rate of marketing goods, the method including:
step 110: first commodity information of a first shop is obtained, wherein the first shop is a shop on a first e-commerce platform.
Specifically, the method for improving the conversion rate of the marketing goods in the embodiment of the application obtains a first goods operated by a first shop, obtains a first movie and television show watched by a first user, obtains second goods information in an advertisement put in the first movie and television show, further determines that the first goods and the second goods have a first association relationship, puts the first goods into a first shopping cart, marks first tag information on the first goods put into the first shopping cart, and sends the first tag information to the first user, so that the purpose of accurately putting the advertisement on a target crowd is achieved, the hit rate and the accuracy rate of the e-commerce advertisement are improved, the customer acquisition cost is reduced, and the output value is improved. First, by obtaining first commodity information of a first shop on a first e-commerce platform, the first commodity is a commodity in a first shop operating range. The e-commerce platform is a platform for providing online transaction negotiation for enterprises or individuals. The enterprise electronic commerce platform is a management environment which establishes a virtual network space for carrying out business activities on the Internet and ensures the smooth operation of business; the system is an important place for coordinating and integrating information flow, cargo flow and fund flow in order, relevance and high-efficiency flow. Enterprises and merchants can fully utilize network infrastructure, payment platforms, security platforms, management platforms and the like provided by the electronic commerce platform. The first e-commerce platform is selected from Taobao, Jingdong mall, Tianmao mall, Sunning, Wei-Hui, Neika, etc. The first shop is such as three squirrel flagships, treasure house official flagships, etc. Step 120: 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.
Step 130: and obtaining second commodity information according to the first movie and television play, wherein the second commodity information is the associated commodity information recommended in the first movie and television play.
Specifically, the first viewing information is a first movie watched by the first user. By obtaining the first viewing information, the advertisement or the advertisement inserted in the first movie and television show can be obtained, for example, the commodities such as beverages, clothes, chewing gum, cosmetics and the like can be inserted in the movie and television show in a form of mouth-casting or using by people in the movie and television show, so that the purpose of attracting the eyeballs of the audience is achieved. And obtaining second commodity information which appears in the broadcast according to the advertisement information implanted in the first movie and television show, namely the second commodity information is related commodity information recommended by the advertisement in the first movie and television show. For example, a yogurt that a character in a recent heat-broadcast drama is drinking from a certain li is used as a second commodity.
Step 140: and determining that the first commodity and the second commodity have a first association relation according to the first commodity information and the second commodity information.
Further, the determining that the first commodity and the second commodity have the first association relationship according to the first commodity information and the second commodity information includes: acquiring first basic attribute information of a first commodity; obtaining second basic attribute information of a second commodity; judging whether the first basic attribute and the second basic attribute have first similarity or not; when the first basic attribute and the second basic attribute have first similarity, determining that the first commodity and the second commodity have a first association relationship.
Specifically, a first association relationship between a first commodity and a second commodity is determined by obtaining the second commodity in a first movie and television show watched by a first user and the first commodity of a first store on a first e-commerce platform. By obtaining first base attribute information of a first commodity and second base attribute information of a second commodity. The first basic attribute information is an inherent property of the first commodity and is a set of differences of the first commodity in different fields. The second basic attribute information is a property inherent to the second product itself. And judging whether the first basic attribute and the second basic attribute have first similarity according to semantic analysis, and determining that the first commodity and the second commodity have a first association relation when the first basic attribute and the second basic attribute have the first similarity. For example, the basic attribute of the yogurt in the movie theater dare to be watched by the plum is the dairy product in the food, and the basic attribute of the cheese bread sold in the three squirrel flagship shops on the Taobao is the fermented dairy product in the food, so that the yogurt and the cheese bread are determined to have a first correlation relationship by semantic analysis that the basic attributes of the yogurt and the cheese bread have a first similarity.
Step 150: and placing the first commodity into the first shopping cart according to the first association relation.
Further, the placing the first item into the first shopping cart according to the first association relationship includes: obtaining a first price for a first commodity; obtaining a second price for the second item; obtaining a price difference between the first price and the second price according to the first price and the second price; determining whether the price difference between the first price and the second price exceeds a first predetermined threshold; placing the first item in the first shopping cart when the price differential does not exceed a first predetermined threshold.
Further, the placing the first item into the first shopping cart according to the first association relationship includes: obtaining first search information of the first user on a first e-commerce platform; determining first interest information of the first user according to the first search information; determining the correlation degree of the first interest information and the first commodity according to the first interest information; judging whether the correlation degree of the first interest information and the first commodity exceeds a second preset threshold value or not; placing the first item in the first shopping cart when the correlation exceeds a second predetermined threshold.
Specifically, after the first association relationship between the first commodity and the second commodity is obtained through step 140, the first commodity may be placed in the first shopping cart according to two ways, the first way is to obtain a first price of the first commodity and a second price of the second commodity, and a first predetermined threshold of the price difference of the commodities is set by calculating the price difference between the first price and the second price, where the first predetermined threshold of the price difference of the commodities is set according to the value difference of the commodities, and if the value of the commodity is 50 yuan, the first predetermined threshold of the price difference is set to 10 yuan. And judging whether the price difference exceeds a first preset threshold value, and placing the first commodity into the first shopping cart when the price difference does not exceed the first preset threshold value. That is, the price difference between the second product recommended by the advertisement in the movie and television show and the first product in the first store is small, and the first product is highly accepted by the first user. And secondly, obtaining first search information of the first user on the first E-commerce platform, and determining that the first user is interested in a certain type of commodity in the near future according to the first search information, namely the first interest information of the first user. The relevance of the first interest to the first item is determined from the first interest information, and a second predetermined threshold, such as 70%, of the relevance is set. And judging whether the correlation degree of the first interest and the first commodity exceeds a second preset threshold value, and placing the first commodity into the first shopping cart when the correlation degree exceeds the second preset threshold value. For example, if a plum person searches for information of foods such as milk biscuits on a Taobao network in a last week, the first interest of the plum person is a milk product, so that the relevance of the first interest to a first commodity yogurt is 76%, and the yogurt is put into a first shopping cart of the plum person.
Step 160: and obtaining first label information of a first commodity in the first shopping cart, and sending the first label information to the first user.
Specifically, according to step 150, the first commodity is placed in the first shopping cart of the first user, the first label information is marked on the first commodity in the first shopping cart, and the first label information is sent to the first user, so that the user is prompted about the marketing activities of the first commodity, such as discount information and gift buying information of the first commodity, and then the advertisement can be accurately delivered to the target customer, the hit rate of the advertisement is improved, the user can purchase the first commodity directly, and the commodity conversion rate is improved. If the first commodity is yoghourt, label information is marked on the yoghourt, and discount information of the yoghourt is sent to the first user.
Therefore, by the method for improving the conversion rate of marketing goods in the embodiment, aiming at the fact that the second goods released in the advertisement in the first movie and television show watched by the first user have the first association relation with the first goods in the first shop, the first goods are placed in the first shopping cart, the first goods placed in the first shopping cart are marked with the first label information and sent to the first user, so that the purpose of accurately releasing the advertisement to the target crowd is achieved, the hit rate and the accuracy rate of the e-commerce advertisement are improved, the customer obtaining cost is reduced, and the output value is improved, and the technical problems that when the e-commerce signboard adopts a television medium to release the advertisement in the prior art, the target crowd cannot be accurately defined, the hit rate and the accuracy rate of the e-commerce advertisement are low, and the commodity conversion rate is low are solved.
Furthermore, the data fusion method in this embodiment may also be implemented by combining an Artificial Intelligence technology, wherein Artificial Intelligence (AI) is also called machine Intelligence, which 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 realizes Intelligence, and a computer similar to human brain Intelligence is manufactured, so that the computer can realize higher-level application. The method comprises the following specific steps: obtaining a photo of a first commodity, wherein the photo of the first commodity comprises first commodity information; inputting a picture of the first commodity 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: the system comprises a first commodity, first identification information used for identifying a second commodity in a first movie and television show watched by a first user and second label information used for identifying a first incidence relation between the first commodity and the second commodity; acquiring output information of the model, wherein the output information is first label information of a first commodity; the output information of the model is used for placing the first commodity into the first shopping cart by utilizing the first association relation between the first commodity and the second commodity, and then marking the first commodity in the first shopping cart with the first label information.
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: obtaining first historical order information of a first user on the first e-commerce platform within a preset time; determining second shop information according to the first historical order information, wherein the consumption amount of the first user in the second shop is the largest in a preset time; determining third commodity information purchased by the first user in a first time period of the second shop according to the consumption amount; judging whether the third commodity and the first commodity have a first association relation or not; when the first association relationship exists, the first commodity is placed in the first shopping cart; and obtaining first label information of a first commodity in the first shopping cart, and sending the first label information to the first user.
Specifically, in the embodiment of the application, first historical order information of a first user on a first e-commerce platform in a predetermined time is obtained. And obtaining second shop information in the first historical order information, wherein the consumption amount of the first user in the second shop is the largest in a preset time. That is, the maximum amount of money consumed by the first user in the second store of the first e-commerce platform in the last month is obtained. And determining that the first user purchases the third commodity with the largest quantity at the second shop at the first time according to the consumption amount, and judging whether the third commodity and the first commodity have a first association relationship, wherein if the third commodity is milk chocolate, the milk chocolate and the yoghourt have the first association relationship. The method comprises the steps of placing a first commodity into a first shopping cart of a first user, further obtaining first label information of the first commodity in the first shopping cart, and sending the first label information to the first user, wherein the first label is discount information such as basic attributes and prices of the first commodity.
Further, after determining the third merchandise information purchased by the first user in the first time period of the second shop according to the consumption amount, the method includes: obtaining a fourth item of the second store, wherein the fourth item is a new item of the second store at the second time; judging whether the fourth commodity and the third commodity have a first association relation or not; when the first association relationship exists, the fourth commodity is put into the first shopping cart; and obtaining second label information of a fourth commodity in the first shopping cart, and sending the second label information to the first user.
Specifically, after determining the information that the number of third commodities purchased by the first user in the first time period is the largest through the consumption amount of the first user in the second store, the fourth commodity of the second store is obtained, wherein the fourth commodity is a new commodity laid by the second store at the second time, whether the fourth commodity and the third commodity have the first association relationship or not is judged, and when the fourth commodity and the third commodity have the first association relationship, the fourth commodity is placed in the first shopping cart of the first user, so that the second label information of the fourth commodity in the first shopping cart is obtained, and the second label information is sent to the first user. For example, the third commodity is cashew nuts, the first user purchases the largest number of cashew nuts in the second shop before one month, then walnuts are newly provided in the second shop after one month, the cashew nuts and the walnuts belong to the nut types, the walnuts are placed in the first shopping cart of the first user, the walnut is marked with the label of the nuts and sent to the first user, the first user can purchase the cashew nuts conveniently, and the commodity conversion rate is improved.
Example two
Based on the same inventive concept as the method for improving the conversion rate of the marketing goods in the previous embodiment, the present invention further provides a method and an apparatus for improving the conversion rate of the marketing goods, as shown in fig. 2, the apparatus includes:
a first obtaining unit 11, configured to obtain first commodity information of a first store, where the first store is a shop on a first e-commerce platform;
a second obtaining unit 12, where the second obtaining unit 12 is 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 third obtaining unit 13, where the third obtaining unit 13 is configured to obtain second commodity information according to the first movie and television drama, where the second commodity information is related commodity information recommended in the first movie and television drama;
a first determining unit 14, wherein the first determining unit 14 is configured to determine that the first commodity and the second commodity have a first association relationship according to the first commodity information and the second commodity information;
a first executing unit 15, where the first executing unit 15 is configured to place the first commodity into the first shopping cart according to the first association relationship;
a second executing unit 16, where the second executing unit 16 is configured to obtain first tag information of a first product in the first shopping cart, and send the first tag information to the first user.
Further, the determining, by the first determining unit, that the first article and the second article have the first association relationship according to the first article information and the second article information includes:
a fourth obtaining unit configured to obtain first basic attribute information of a first commodity;
a fifth obtaining unit configured to obtain second basic attribute information of a second commodity;
a first judging unit, configured to judge whether the first basic attribute and the second basic attribute have a first similarity;
a second determining unit configured to determine that the first item and the second item have a first association relationship when the first base attribute and the second base attribute have a first similarity.
Further, the placing the first commodity into the first shopping cart according to the first association relationship in the first execution unit includes:
a sixth obtaining unit configured to obtain a first price of the first commodity;
a seventh obtaining unit configured to obtain a second price of the second commodity;
an eighth obtaining unit configured to obtain a price difference between the first price and the second price according to the first price and the second price;
a second determination unit for determining whether the price difference between the first price and the second price exceeds a first predetermined threshold;
a third execution unit for placing the first item in the first shopping cart when the price difference does not exceed a first predetermined threshold.
Further, the placing the first commodity into the first shopping cart according to the first association relationship in the first execution unit includes:
a ninth obtaining unit, configured to obtain first search information of the first user on a first e-commerce platform;
a third determining unit, configured to determine first interest information of the first user according to the first search information;
a fourth determining unit, configured to determine, according to the first interest information, a degree of correlation between the first interest information and the first commodity;
a third judging unit, configured to judge whether a degree of correlation between the first interest information and the first commodity exceeds a second predetermined threshold;
a fourth execution unit for placing the first item in the first shopping cart when the degree of correlation exceeds a second predetermined threshold.
Further, the apparatus further comprises:
a tenth obtaining unit, configured to obtain first historical order information of the first e-commerce platform for a first user within a predetermined time;
a fifth determining unit configured to determine second store information according to the first historical order information, wherein the consumption amount of the second store is the largest by the first user in a predetermined time;
a sixth determining unit configured to determine, according to the consumption amount, third commodity information purchased by the first user at the second store for a first time period;
a fourth judging unit, configured to judge whether the third commodity and the first commodity have a first association relationship;
a fifth execution unit, configured to place the first item in the first shopping cart when the first item has a first association relationship;
a sixth execution unit, configured to obtain first tag information of a first commodity in the first shopping cart, and send the first tag information to the first user.
Further, the sixth determining unit, after determining the third item information purchased by the first user in the first time period of the second store according to the amount of the consumed money, includes:
an eleventh obtaining unit configured to obtain a fourth item of the second store, wherein the fourth item is a new item of the second store at the second time;
a fifth judging unit, configured to judge whether the fourth commodity and the third commodity have a first association relationship;
a seventh executing unit, configured to place the fourth commodity in the first shopping cart when the fourth commodity has the first association relationship;
an eighth execution unit, configured to obtain second tag information of a fourth product in the first shopping cart, and send the second tag information to the first user.
Various modifications and specific examples of the method for improving conversion rate of marketing goods in the first embodiment of fig. 1 are also applicable to the apparatus for improving conversion rate of marketing goods in the present embodiment, and the method for implementing the apparatus for improving conversion rate of marketing goods in the present embodiment is clear to those skilled in the art from the foregoing detailed description of the method for improving conversion rate of marketing goods, so for the brevity of the description, detailed description is omitted here.
EXAMPLE III
Based on the same inventive concept as the method for improving the conversion rate of the marketing good in the previous embodiment, the present invention further provides an apparatus for improving the conversion rate of the marketing good, as shown in fig. 3, comprising a memory 304, a processor 302 and a computer program stored in the memory 304 and running on the processor 302, wherein the processor 302 executes the program to implement the steps of any one of the methods for improving the conversion rate of the marketing good.
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 method for improving conversion rate of the marketing goods 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, realizes the steps of: obtaining first commodity information of a first shop, wherein the first shop is a shop on a first e-commerce platform; 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 second commodity information according to the first movie and television play, wherein the second commodity information is related commodity information recommended in the first movie and television play; determining that the first commodity and the second commodity have a first association relation according to the first commodity information and the second commodity information; placing the first commodity into the first shopping cart according to the first incidence relation; and obtaining first label information of a first commodity in the first shopping cart, and sending the first label information to the first user.
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 method and the device for improving the conversion rate of the marketing commodity, provided by the embodiment of the invention, the 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 commodity information of a first shop, wherein the first shop is a shop on a first e-commerce platform, and second commodity information of the first shop is obtained, wherein the first shop is a shop on the first e-commerce platform; determining that the first commodity and the second commodity have a first association relation according to the first commodity information and the second commodity information; placing the first commodity into the first shopping cart according to the first incidence relation; the method comprises the steps of obtaining first label information of a first commodity in the first shopping cart, and sending the first label information to a first user, so that the technical problems that when an electronic commodity board side adopts a television medium to put advertisements in the prior art, target crowds cannot be accurately defined, the hit rate and accuracy of electronic commerce advertisements are low, and commodity conversion rate is low are solved, the technical effects of accurately putting the advertisements to the target crowds, improving the hit rate and accuracy of the electronic commerce advertisements, reducing customer acquisition cost and improving output value are achieved.
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 (9)

1. A method for increasing conversion of a marketed good, said method comprising:
obtaining first commodity information of a first shop, wherein the first shop is a shop on a first e-commerce platform;
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 second commodity information according to the first movie and television play, wherein the second commodity information is related commodity information recommended in the first movie and television play;
determining that the first commodity and the second commodity have a first association relation according to the first commodity information and the second commodity information;
placing the first commodity into the first shopping cart according to the first incidence relation;
and obtaining first label information of a first commodity in the first shopping cart, and sending the first label information to the first user.
2. The method of claim 1, wherein said determining that the first item and the second item have the first association relationship based on the first item information and the second item information comprises:
acquiring first basic attribute information of a first commodity;
obtaining second basic attribute information of a second commodity;
judging whether the first basic attribute and the second basic attribute have first similarity or not;
when the first basic attribute and the second basic attribute have first similarity, determining that the first commodity and the second commodity have a first association relationship.
3. The method of claim 1, wherein said placing said first item into said first shopping cart in accordance with said first association comprises:
obtaining a first price for a first commodity;
obtaining a second price for the second item;
obtaining a price difference between the first price and the second price according to the first price and the second price;
determining whether the price difference between the first price and the second price exceeds a first predetermined threshold;
placing the first item in the first shopping cart when the price differential does not exceed a first predetermined threshold.
4. The method of claim 1, wherein said placing said first item into said first shopping cart in accordance with said first association comprises:
obtaining first search information of the first user on a first e-commerce platform;
determining first interest information of the first user according to the first search information;
determining the correlation degree of the first interest information and the first commodity according to the first interest information;
judging whether the correlation degree of the first interest information and the first commodity exceeds a second preset threshold value or not;
placing the first item in the first shopping cart when the correlation exceeds a second predetermined threshold.
5. The method of claim 1, wherein the method further comprises:
obtaining first historical order information of a first user on the first e-commerce platform within a preset time;
determining second shop information according to the first historical order information, wherein the consumption amount of the first user in the second shop is the largest in a preset time;
determining third commodity information purchased by the first user in a first time period of the second shop according to the consumption amount;
judging whether the third commodity and the first commodity have a first association relation or not;
when the first association relationship exists, the first commodity is placed in the first shopping cart;
and obtaining first label information of a first commodity in the first shopping cart, and sending the first label information to the first user.
6. The method of claim 5, wherein the determining third merchandise information purchased by the first user for the first time period at the second store based on the amount of payment comprises:
obtaining a fourth item of the second store, wherein the fourth item is a new item of the second store at the second time;
judging whether the fourth commodity and the third commodity have a first association relation or not;
when the first association relationship exists, the fourth commodity is put into the first shopping cart;
and obtaining second label information of a fourth commodity in the first shopping cart, and sending the second label information to the first user.
7. An apparatus for increasing conversion of a marketed good, said apparatus comprising:
a first obtaining unit, configured to obtain first commodity information of a first store, where the first store is a shop on a first e-commerce platform;
a second 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 third obtaining unit, configured to obtain second commodity information according to the first movie and television play, where the second commodity information is associated commodity information recommended in the first movie and television play;
a first determining unit, configured to determine, according to the first commodity information and the second commodity information, that the first commodity and the second commodity have a first association relationship;
the first execution unit is used for placing the first commodity into the first shopping cart according to the first association relation;
and the second execution unit is used for obtaining first label information of a first commodity in the first shopping cart and sending the first label information to the first user.
8. An apparatus for increasing conversion of a marketed good, 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 according to any one of claims 1-6.
9. 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 6.
CN201911054188.7A 2019-10-31 2019-10-31 Method and device for improving conversion rate of marketing commodities Pending CN110807665A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911054188.7A CN110807665A (en) 2019-10-31 2019-10-31 Method and device for improving conversion rate of marketing commodities

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911054188.7A CN110807665A (en) 2019-10-31 2019-10-31 Method and device for improving conversion rate of marketing commodities

Publications (1)

Publication Number Publication Date
CN110807665A true CN110807665A (en) 2020-02-18

Family

ID=69489935

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911054188.7A Pending CN110807665A (en) 2019-10-31 2019-10-31 Method and device for improving conversion rate of marketing commodities

Country Status (1)

Country Link
CN (1) CN110807665A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112907273A (en) * 2021-01-11 2021-06-04 柳州市彭莫山农业科技有限公司 Method and device for increasing sales of uncaria tea

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010021914A1 (en) * 1998-09-18 2001-09-13 Jacobi Jennifer A. Personalized recommendations of items represented within a database
CN103971256A (en) * 2013-01-25 2014-08-06 阿里巴巴集团控股有限公司 Information push method and device
CN105550895A (en) * 2015-12-07 2016-05-04 美的集团股份有限公司 Store member service providing method and system, electronic member card and control center
CN106961636A (en) * 2017-02-23 2017-07-18 北京金山安全软件有限公司 Commodity information recommendation method and device and electronic equipment
CN107454443A (en) * 2017-02-21 2017-12-08 沈思远 A kind of quick shopping method and system based on video or picture
US10055778B1 (en) * 2005-06-03 2018-08-21 Versata Development Group, Inc. Scoring recommendations and explanations with a probabilistic user model
CN109688469A (en) * 2018-12-27 2019-04-26 北京爱奇艺科技有限公司 A kind of advertisement demonstration method and show device

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010021914A1 (en) * 1998-09-18 2001-09-13 Jacobi Jennifer A. Personalized recommendations of items represented within a database
US10055778B1 (en) * 2005-06-03 2018-08-21 Versata Development Group, Inc. Scoring recommendations and explanations with a probabilistic user model
CN103971256A (en) * 2013-01-25 2014-08-06 阿里巴巴集团控股有限公司 Information push method and device
CN105550895A (en) * 2015-12-07 2016-05-04 美的集团股份有限公司 Store member service providing method and system, electronic member card and control center
CN107454443A (en) * 2017-02-21 2017-12-08 沈思远 A kind of quick shopping method and system based on video or picture
CN106961636A (en) * 2017-02-23 2017-07-18 北京金山安全软件有限公司 Commodity information recommendation method and device and electronic equipment
CN109688469A (en) * 2018-12-27 2019-04-26 北京爱奇艺科技有限公司 A kind of advertisement demonstration method and show device

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
易静: "《跨境电商实务操作教程》", 30 June 2017, 武汉大学出版社 *
杨一翁: "《消费者视角下的推荐***》", 30 September 2016, 知识产权出版社 *
毛郁欣: "《大数据时代电商伦理前沿问题研究》", 31 March 2016, 东北大学出版社 *
陈庆: "《电子商务实战 网店运营》", 31 July 2019 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112907273A (en) * 2021-01-11 2021-06-04 柳州市彭莫山农业科技有限公司 Method and device for increasing sales of uncaria tea

Similar Documents

Publication Publication Date Title
US6035288A (en) Interactive computer-implemented system and method for negotiating sale of goods and/or services
CN110910179B (en) Grouping marketing method and device
CN108269117B (en) Data pushing and determining method and device and computer terminal
US20190155864A1 (en) Method and apparatus for recommending business object, electronic device, and storage medium
CN102332130A (en) Advertising effectiveness measuring apparatus, advertising effectiveness measuring method, program, and electronic advertising apparatus
JP6780992B2 (en) Judgment device, judgment method and judgment program
CN111160971A (en) Method and device for optimizing marketing strategy based on marketing effect
CN108229997A (en) A kind of method and system of internet shopping promotion
CN110807691B (en) Cross-commodity-class commodity recommendation method and device
CN114331543A (en) Advertisement propagation method for large-scale crowd orientation and dynamic scene matching
CN110807664A (en) Cross-platform customer marketing method and device
CN116132749B (en) Advertisement marketing method combined with live broadcast and carried goods
CN110807665A (en) Method and device for improving conversion rate of marketing commodities
CN111178974B (en) Method and device for improving multi-platform fusion
Niu et al. E-Commerce Industry: A Comprehensive Analysis of its Competitive Advantages
CN110738521B (en) Client selling method and device for multi-merchant brand
CN110781399A (en) Cross-platform information pushing method and device
CN114820055A (en) Unmanned vehicle selling commodity pushing method and device, unmanned vehicle and storage medium
CN110766478A (en) Method and device for improving user connectivity
CN110751492A (en) High-value crowd identification method and device
CN111127128B (en) Commodity recommendation method, commodity recommendation device and storage medium
CN112330369A (en) Online trading system for agricultural and sideline products
CN110942303A (en) Electronic certificate pushing method and device based on purchasing behavior
CN110969435B (en) Electronic certificate pushing method and device based on offline store-entering behavior
CN111192112A (en) Multi-platform interaction method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination