CN110910179A

CN110910179A - Grouping marketing method and device

Info

Publication number: CN110910179A
Application number: CN201911215726.6A
Authority: CN
Inventors: 刘铁; 熊磊; 许先才
Original assignee: Shenzhen Yunintegral Technology Co Ltd
Current assignee: Shenzhen Yunintegral Technology Co Ltd
Priority date: 2019-12-02
Filing date: 2019-12-02
Publication date: 2020-03-24
Anticipated expiration: 2039-12-02
Also published as: CN110910179B

Abstract

The invention provides a group-piecing marketing method and a group-piecing marketing device, which relate to the technical field of shopping marketing, and are characterized in that when a first member purchases a first goods, a first receiving address of the first member is obtained; obtaining a second shipping address of a second member when the second member purchases the first goods; judging whether a first preset condition is met or not according to the first goods receiving address and the second goods receiving address; when the first preset condition is met, determining that the first member and the second member have a first grouping relationship; if the first member and the second member both accept the grouping shopping mode, when the first member purchases the second goods, the second goods are recommended to the second member, or when the second member purchases the second goods, the second goods are recommended to the first member, the purpose of accelerating the transmission of product information is achieved, real-time grouping is achieved, the enthusiasm of users participating in grouping is enhanced, and the competitiveness of an internet shopping platform and the technical effect of user experience are improved.

Description

Grouping marketing method and device

Technical Field

The invention relates to the technical field of shopping marketing, in particular to a grouping marketing method and a grouping marketing device.

Background

With the rapid development of internet technology, networks have become an indispensable part in modern daily life, on an online transaction platform, merchants can create various activities for users, provide various preferential information, such as discount offers, full discount offers and the like, and users can select corresponding activities to obtain corresponding preferential information according to their needs, thereby facilitating and attracting users to use various preferential information to consume in stores. Meanwhile, the group-piecing mode becomes a marketing activity tool newly added in nearly two years for each large shopping platform or small chat program, each commodity has independent purchase price and group-piecing price in the group-piecing mode, and the buyer can invite friends to participate in the group through the group-piecing mode for purchase, so that the group is successfully formed and the order is effective after a certain number of people is reached, and the group purchase price can be enjoyed.

However, the applicant of the present invention finds that the prior art has at least the following technical problems:

the existing group-splicing mode has a long period and is inconvenient, so that the user experience is poor, the information transmission efficiency is low, the applicable crowd is not wide, and the autonomous group-splicing of small-scale crowd is difficult to realize.

Disclosure of Invention

The embodiment of the invention provides a group-piecing marketing method and a group-piecing marketing device, which solve the technical problems of poor user experience, low information transmission efficiency and low applicable population caused by long group-piecing mode period and inconvenient group-piecing mode in the prior art, and achieve the technical effects of accelerating the transmission of product information, realizing real-time group-piecing, enhancing the enthusiasm of users participating in group-piecing, and improving the competitiveness of an internet shopping platform and the user experience.

In view of the above problems, the embodiments of the present application are proposed to provide a party marketing method and apparatus.

In a first aspect, the present invention provides a group-piecing marketing method, including: when a first member purchases a first good, obtaining a first receiving address of the first member; obtaining a second shipping address of a second member when the second member purchases the first goods; judging whether a first preset condition is met or not according to the first goods receiving address and the second goods receiving address; when the first preset condition is met, determining that the first member and the second member have a first grouping relationship; according to the first grouping relationship, if the first member and the second member both accept a grouping shopping mode, recommending the second goods to the second member when the first member purchases the second goods, or recommending the second goods to the first member when the second member purchases the second goods.

Preferably, the method further comprises: obtaining a first party record of the first member; obtaining a first average purchasing power of the first member according to the first group-piecing record; obtaining a second party record of the second member; obtaining a second average purchasing power of the second member according to the second group record; obtaining a first difference value according to the first average purchasing power and the second average purchasing power; judging whether the first difference value meets a first preset threshold value or not; and when the first preset threshold value is met, determining that the first member and the second member have a first grouping relationship.

Preferably, the method further comprises: obtaining a first browsing record and a first sharing record of the first member; obtaining a first favorite cargo type list of the first member according to the first browsing record, the first sharing record and the first grouping record; obtaining a second browsing record and a second sharing record of the second member; obtaining a second favorite cargo type list of the second member according to the second browsing record, the second sharing record and the second grouping record; obtaining a first cargo type for the second cargo; and when the first member purchases a second good and the first good type is in the second favorite goods type list, recommending the second good to the second member, or when the second member purchases the second good and the first good type is in the first favorite goods type list, recommending the second good to the first member.

Preferably, the method further comprises: when the first member purchases a second good, obtaining a first price for the second good; obtaining a first average consumption value of the second member for the commodity with the first goods type according to the second group record; comparing the first price to the first average consumption value; obtaining a second difference between the first price and the first average consumption value when the first price is higher than the first average consumption value; judging whether the second difference value meets a second preset threshold value or not; and recommending the second goods to the second member when the second preset threshold is met.

Preferably, after the second goods are recommended to the second member when the first member purchases the second goods, or recommended to the first member when the second member purchases the second goods, the method further comprises: after the second member receives the information of the second goods sent by the first member, or after the first member receives the information of the second goods sent by the second member, a party-piecing order is initiated; obtaining a preset grouping condition of the grouping order; judging whether the preset group splicing condition is met or not according to the first member and the second member; and if not, sending the piecing order to a third member within a preset time, wherein the third member and the second member and/or the first member have a second piecing relation.

Preferably, the method further comprises: when the first member purchases a second good and/or when the second member purchases the second good, obtaining evaluation information of the second good; obtaining the evaluation score of the user for the second goods according to the evaluation information; judging whether the evaluation score meets a third preset threshold value; and when the third preset threshold value is not met, sending reminding information to the first member and/or sending reminding information to the second member.

In a second aspect, the present invention provides a piecing marketing device, the device comprising:

a first obtaining unit for obtaining a first shipping address of a first member when the first member purchases a first good;

a second obtaining unit configured to obtain a second shipping address of a second member when the second member purchases the first goods;

the first judging unit is used for judging whether a first preset condition is met according to the first receiving address and the second receiving address;

a first determining unit, configured to determine that the first member and the second member have a first group-piecing relationship when the first preset condition is satisfied;

and the first recommending unit is used for recommending the second goods to the second member when the first member purchases the second goods or recommending the second goods to the first member when the second member purchases the second goods if the first member and the second member both accept the grouping shopping mode according to the first grouping relation.

Preferably, the apparatus further comprises:

a third obtaining unit configured to obtain a first party record of the first member;

a fourth obtaining unit configured to obtain a first average purchasing power of the first member according to the first grouping record;

a fifth obtaining unit configured to obtain a second party record of the second member;

a sixth obtaining unit configured to obtain a second average purchasing power of the second member according to the second clustering record;

a seventh obtaining unit configured to obtain a first difference value according to the first average purchasing power and the second average purchasing power;

a second judging unit, configured to judge whether the first difference satisfies a first preset threshold;

a second determining unit, configured to determine that the first member and the second member have a first grouping relationship when the first preset threshold is met.

Preferably, the apparatus further comprises:

an eighth obtaining unit, configured to obtain a first browsing record and a first sharing record of the first member;

a ninth obtaining unit, configured to obtain a first favorite cargo type list of the first member according to the first browsing record, the first sharing record, and the first grouping record;

a tenth obtaining unit, configured to obtain a second browsing record and a second sharing record of the second member;

an eleventh obtaining unit, configured to obtain a second favorite cargo type list of the second member according to the second browsing record, the second sharing record, and the second grouping record;

a twelfth obtaining unit for obtaining the first cargo type of the second cargo;

a second recommending unit, configured to recommend a second good to the second member when the first member purchases the second good and the first good type is in the second favorite goods type list, or recommend the second good to the first member when the second member purchases the second good and the first good type is in the first favorite goods type list.

Preferably, the apparatus further comprises:

a thirteenth obtaining unit for obtaining a first price of a second good when the first member purchases the second good;

a fourteenth obtaining unit, configured to obtain, according to the second piece of grouping record, a first average consumption value of the second member for the commodity having the first goods type;

a first comparison unit for comparing the first price with the first average consumption value;

a fifteenth obtaining unit for obtaining a second difference between the first price and the first average consumption value when the first price is higher than the first average consumption value;

a third judging unit, configured to judge whether the second difference value satisfies a second preset threshold;

and the third recommending unit is used for recommending the second goods to the second member when the second preset threshold value is met.

Preferably, the apparatus further comprises:

the first execution unit is used for initiating a party-assembling order after the second member receives the information of the second goods sent by the first member or after the first member receives the information of the second goods sent by the second member;

a sixteenth obtaining unit, configured to obtain a preset clique-assembling condition of the clique-assembling order;

a fourth judging unit, configured to judge whether the preset grouping condition is satisfied according to the first member and the second member;

and the fourth recommending unit is used for sending the piecing order to a third member within a preset time if the piece-grouping order is not met, wherein the third member and the second member and/or the first member have a second piecing relation.

Preferably, the apparatus further comprises:

a seventeenth obtaining unit configured to obtain evaluation information of the second good when the first member purchases the second good and/or when the second member purchases the second good;

an eighteenth obtaining unit, configured to obtain, according to the evaluation information, a rating of the user for the second good;

a fifth judging unit, configured to judge whether the score number satisfies a third preset threshold;

and the fifth recommending unit is used for sending reminding information to the first member and/or sending reminding information to the second member when the third preset threshold value is not met.

In a third aspect, the present invention provides a group-piecing marketing device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the following steps: when a first member purchases a first good, obtaining a first receiving address of the first member; obtaining a second shipping address of a second member when the second member purchases the first goods; judging whether a first preset condition is met or not according to the first goods receiving address and the second goods receiving address; when the first preset condition is met, determining that the first member and the second member have a first grouping relationship; according to the first grouping relationship, if the first member and the second member both accept a grouping shopping mode, recommending the second goods to the second member when the first member purchases the second goods, or recommending the second goods to the first member when the second member purchases the second goods.

In a fourth aspect, the present invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of: when a first member purchases a first good, obtaining a first receiving address of the first member; obtaining a second shipping address of a second member when the second member purchases the first goods; judging whether a first preset condition is met or not according to the first goods receiving address and the second goods receiving address; when the first preset condition is met, determining that the first member and the second member have a first grouping relationship; according to the first grouping relationship, if the first member and the second member both accept a grouping shopping mode, recommending the second goods to the second member when the first member purchases the second goods, or recommending the second goods to the first member when the second member purchases the second goods.

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 group-piecing marketing method and device provided by the embodiment of the invention, when a first member purchases a first goods, a first receiving address of the first member is obtained; obtaining a second shipping address of a second member when the second member purchases the first goods; judging whether a first preset condition is met or not according to the first goods receiving address and the second goods receiving address; when the first preset condition is met, determining that the first member and the second member have a first grouping relationship; according to first piece together the relation, if first member with the piece together shopping mode is all accepted to the second member, then when first member when purchasing the second goods, will the second goods recommend for the second member, or when the second member purchases during the second goods, will the second goods recommends for first member to it is longer to have solved the piece together mode cycle among the prior art, and piece together the mode inconvenient moreover, causes user experience poor, and information transfer is inefficient, is suitable for not wide technical problem of crowd, has reached the transmission of acceleration product information, realizes real-time piece together, strengthens the enthusiasm that the user participated in the piece together, improves internet shopping platform's competitiveness and user experience's technical effect.

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 grouping marketing method according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a grouping marketing device according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of another grouping marketing device in the embodiment of the invention.

Description of reference numerals: the device comprises a first obtaining unit 11, a second obtaining unit 12, a first judging unit 13, a first determining unit 14, a first recommending unit 15, 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 group-piecing marketing method and a group-piecing marketing device, which are used for solving the technical problems of poor user experience, low information transmission efficiency and not wide applicable population caused by long group-piecing mode period and inconvenient group-piecing mode in the prior art.

The technical scheme provided by the invention has the following general idea:

when a first member purchases a first good, obtaining a first receiving address of the first member; obtaining a second shipping address of a second member when the second member purchases the first goods; judging whether a first preset condition is met or not according to the first goods receiving address and the second goods receiving address; when the first preset condition is met, determining that the first member and the second member have a first grouping relationship; according to the first grouping relation, if the first member and the second member both accept the grouping shopping mode, when the first member purchases the second goods, the second goods are recommended to the second member, or when the second member purchases the second goods, the second goods are recommended to the first member, so that the transmission of product information is accelerated, real-time grouping is realized, the enthusiasm of users participating in grouping is enhanced, and the competitiveness of an internet shopping platform and the technical effect of user experience are improved.

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 grouping marketing method according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a party marketing method, where the method includes:

step 110: when a first member purchases a first good, a first shipping address of the first member is obtained.

Specifically, the first member is a personal account registered on a shopping platform of the internet, and when the first member registers an account, the first member usually needs to fill in relevant personal information, such as a mobile phone number, an identification number, a receiving address, a gender, and the like, and after the first member registers the account, the user can perform a transaction on the shopping platform, such as Taobao, Weitai, Jingdong, Shuduo, and the like. When the first member browses commodities on the shopping platform, if the first member sees that the favorite commodities can be purchased, the payment is finally carried out through various online payment means to complete the transaction, the seller also delivers the commodities according to the receiving address of the first member, and after the first member receives the commodities, the online shopping process is completed. Therefore, after the user purchases the first goods, the first receiving address of the first member can be correspondingly obtained according to the related information of the first member, and the address information can be company, home, school, etc. For example, after the first member purchases cotton slippers by piecing together, the first member may further obtain the shipping address information of the first member, such as the Huanfu area in Beijing.

Step 120: when a second member purchases the first goods, a second shipping address of the second member is obtained.

Specifically, as described in the foregoing step 110, the second member is a personal account registered on a shopping platform of the internet, and when registering an account, the second member generally needs to fill in relevant personal information, such as a mobile phone number, an identification number, a receiving address, a gender, and the like, and after registering, the user can perform a transaction on the shopping platform, such as naobao, guicheng, kyoto, powden, and the like. When the second member browses commodities on the shopping platform, if the second member sees that the favorite commodities can be purchased, the second member finally pays through various online payment means to complete the transaction, and the seller also delivers the commodities according to the receiving address of the second member, so that the online shopping process is completed after the second member receives the commodities. After the second member purchases the first goods, the first goods purchased by the second member and the first goods purchased by the first member are the same goods, but there may be a difference in size and color between the first goods and the second goods, that is, the two goods are the same product. Further, a second receiving address of the second member can be obtained according to the related information of the second member, and the address information can be company, home, school, etc. For example, after the first member purchases cotton slippers by grouping together, the second member also purchases cotton slippers by grouping together, and the slippers purchased by the two users are the same product but have different colors and sizes, so that the receiving address information of the second member can be obtained, for example, in the Changpio district in Beijing.

Step 130: and judging whether a first preset condition is met or not according to the first receiving address and the second receiving address.

Step 140: and when the first preset condition is met, determining that the first member and the second member have a first grouping relationship.

Specifically, after the first receiving address of the first member and the second receiving address of the second member are obtained, whether the two addresses satisfy the first preset condition or not can be further determined according to the first receiving address and the second receiving address. The specific judgment logic is as follows: and obtaining a first distance difference according to the first receiving address and the second receiving address, and judging whether the first distance difference is within a preset range. The predetermined range may be designed according to actual needs, for example, the distance may be within a preset kilometer, the distance may be within the same community, the same administrative district, the same city district, the same province, and the like, and no specific limitation is imposed in this embodiment. When the first receiving address and the second receiving address are within the preset range, and then the first member and the second member can be judged to have a first group-piecing relation, namely, when group-piecing activities are carried out, two persons of the first member and the second member can be pieced together. That is, the first member and the second member may be organized into a group through an internet channel to purchase the same commodity at a discount, and finally obtain a price advantage. The participation in the party can effectively reduce the transaction cost of the consumers and obtain reasonable low price on the premise of ensuring the quality and the service. As described above, when the shipping address of the first member is the hoffy area in beijing city and the shipping address of the second member is the chang-par area in beijing city, if the predetermined range is the same city area or the same province, the address information of the first member and the second member satisfies the first preset condition, and it can be determined that the first member and the second member can be joined; for another example, when the receiving address of the first member is shanxi province, west and ampere city, the receiving address of the second member is three gorges city, south and Henan province, if the predetermined range is 500 km, the address information of the first member and the second member meets the first preset condition, and similarly, it can be determined that the first member and the second member can be joined together.

Step 150: according to the first grouping relationship, if the first member and the second member both accept a grouping shopping mode, recommending the second goods to the second member when the first member purchases the second goods, or recommending the second goods to the first member when the second member purchases the second goods.

Specifically, after it is determined that the first member and the second member can be joined, according to the first joining relationship, corresponding joining services can be provided for the two members. If the first member and the second member have received the shopping mode of the pieced together group purchase, in this way, when the first member purchases the second goods in the pieced together mode, the second goods can be recommended to the second member, so that the second member can acquire the pieced together information in real time, and simultaneously, when the second member purchases the second goods in the pieced together mode, the second goods are recommended to the first member, so that the first member can acquire the pieced together information in real time, wherein the second goods are different from the first goods. Therefore, the difficulty of finding product information meeting the requirements of a user in massive commodity information quickly and accurately is reduced, potential customers can be mined and developed for shops, the sales volume of E-commerce enterprises can be effectively increased, the intelligent degree is improved, accurate commodity recommendation is realized, and the system has the advantages of high working efficiency and wide application range. For example, according to the first grouping relationship, if both the first member and the second member accept the grouping, when the first member purchases the laundry detergent on the plurality of groups, the link of the laundry detergent may be sent to the second member, or when the second member purchases the laundry detergent on the plurality of groups, the link of the laundry detergent may be sent to the first member.

Therefore, through the group-piecing marketing method in the embodiment, the information transfer can be accelerated, the real-time group-piecing is realized, the enthusiasm of users participating in the group-piecing is enhanced, the competitiveness of an internet shopping platform is improved, more users are excavated and attracted to be added to the shopping platform, the rapid growth of the internet and the e-commerce market is facilitated, good products are promoted more rapidly, and more benefits are obtained for the users, so that the technical problems that the group-piecing mode period is longer in the prior art, the group-piecing mode is inconvenient, the user experience is poor, the information transfer efficiency is low, and the method is suitable for the technical problems of not wide crowds.

Further, the grouping marketing method in this embodiment may also be implemented by combining an artificial intelligence technology, wherein the english abbreviation of artificial intelligence is ai (artificial intelligence), which is a new technical science for researching and developing theories, methods, techniques and application systems for simulating, extending and expanding human intelligence. The method comprises the following specific steps: obtaining a photo of a first member purchasing a first goods and a photo of a second member purchasing the first goods; the method comprises the following steps that pictures of first goods purchased by a first member and pictures of first goods purchased by a second member are sequentially input into a model, the model is obtained by using multiple groups of data through machine learning training, each group of data in the multiple groups of data comprises a first data group and a second data group, and each group of data of the first data group comprises: the first member purchases a photo of a first goods, and first identification information for identifying a first receiving address in the photo of the first member purchasing the first goods is obtained; each group of data of the second type data group comprises: the second member purchases the photo of the first goods, and second identification information of a second receiving address in the photo of the first goods purchased by the second member is identified; and under the condition that the first receiving address and the second receiving address meet a first preset condition, determining that the first member and the second member have a first piecing relationship, and recommending the second goods to the second member when the first member purchases the second goods according to the first piecing relationship, or recommending the second goods to the first member when the second member purchases the second goods.

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 automatically learn rules from the data and predict unknown data by using the rules.

Further, the method further comprises: obtaining a first party record of the first member; obtaining a first average purchasing power of the first member according to the first group-piecing record; obtaining a second party record of the second member; obtaining a second average purchasing power of the second member according to the second group record; obtaining a first difference value according to the first average purchasing power and the second average purchasing power; judging whether the first difference value meets a first preset threshold value or not; and when the first preset threshold value is met, determining that the first member and the second member have a first grouping relationship.

Specifically, the first piecing record is historical piecing order information of the first member in a preset time, for example, the first piecing record may be a piecing record of the first member in the past month, a quarter or a half year, and the specific preset time may be adjusted according to an actual situation, which is not limited in this embodiment. The first piecemeal record comprises the goods of the first member piecemeal, the goods type, the goods price and other information, and therefore the first average purchasing power of the member can be obtained by analyzing the first piecemeal record of the first member. Similarly, the second piecing record is historical piecing order information of the second member within a preset time, which is the same as the preset time for obtaining the first piecing record of the first member, for example, the piecing record of the first member within the past month, one quarter or half year, and the second member is obtained. The second piecemeal record comprises information of the goods of the second member piecemeal, the goods type, the goods price and the like, so that the second average purchasing power of the member can be obtained by analyzing the second piecemeal record of the second member; wherein, first average purchasing power and the average purchasing power of second have represented first member's average consumption ability respectively, the average consumption ability of second member, through comparing first average purchasing power and the average purchasing power of second, can obtain the first difference between the two, and then judge whether first difference is in first preset threshold value within range, judge promptly whether the consumption level of first member and second member is close mutually, when satisfying first preset threshold value, explain first member and second member's consumption custom and consumption ability are close relatively, like this, can judge that first member and second member have first piece together the relation, can piece together. For example, when the average purchasing power of a first member king over a piece is 200 yuan, the average purchasing power of a second member Zhang over a piece is 300 yuan, and when the preset threshold is set to 200 yuan, the average purchasing power of the member king and Zhang meet the requirement of the preset threshold, and the grouping operation can be performed.

Further, the method further comprises: obtaining a first browsing record and a first sharing record of the first member; obtaining a first favorite cargo type list of the first member according to the first browsing record, the first sharing record and the first grouping record; obtaining a second browsing record and a second sharing record of the second member; obtaining a second favorite cargo type list of the second member according to the second browsing record, the second sharing record and the second grouping record; obtaining a first cargo type for the second cargo; and when the first member purchases a second good and the first good type is in the second favorite goods type list, recommending the second good to the second member, or when the second member purchases the second good and the first good type is in the first favorite goods type list, recommending the second good to the first member.

Specifically, the first browsing record is related trace information of goods search and browsing performed by a first member on a shopping platform within preset time, the first sharing record is a record of goods shared by a first user to other friends within preset time, and then all goods browsed, shared and purchased by the first member can be analyzed according to the first browsing record, the first sharing record and the first grouping record, the preference degree of each goods can be scored in sequence, finally all goods are subjected to type division, and the goods types of which the scores meet the threshold requirement are sorted to obtain a first favorite goods type list of the first member; similarly, according to the method, a second favorite cargo type list of the second member can be correspondingly obtained according to the second browsing record, the second sharing record and the second grouping record of the second member; furthermore, the corresponding first goods type can be obtained according to the second goods, so that when the first member purchases the second goods, whether the goods type of the second goods is in the favorite goods type list corresponding to the second member needs to be judged, if yes, the second goods can be recommended to the second member, similarly, when the second member purchases the second goods, whether the goods type of the second goods is in the favorite goods type list corresponding to the first member needs to be judged, and if yes, the second goods can be recommended to the first member. For example, when the second item is coffee beans, the first member wants to buy coffee beans in a group purchase, and the coffee beans are found in the preferred item type list of the first member by judgment, and then the coffee beans can be recommended to the first member.

Further, when the first member purchases a second good and the first good type is not in the second favorite goods type list, obtaining the association degree of the first good type and each goods type in the second favorite goods type list; sequentially judging whether the association degree of the first cargo type and each cargo type in the second favorite cargo type list meets a fifth preset threshold value or not; and if the fifth preset threshold value is met, recommending the second goods to the second member.

Further, when the second member purchases a second good and the first good type is not in the first favorite goods type list, obtaining the association degree between the first good type and each goods type in the first favorite goods type list; sequentially judging whether the association degree of the first cargo type and each cargo type in the first favorite cargo type list meets a sixth preset threshold value or not; and if the sixth preset threshold is met, recommending the second goods to the first member.

Further, the method further comprises: when the first member purchases a second good, obtaining a first price for the second good; obtaining a first average consumption value of the second member for the commodity with the first goods type according to the second group record; comparing the first price to the first average consumption value; obtaining a second difference between the first price and the first average consumption value when the first price is higher than the first average consumption value; judging whether the second difference value meets a second preset threshold value or not; and recommending the second goods to the second member when the second preset threshold is met.

Specifically, when the first member wants to group and buy the second goods, the price of the second goods is acquired, an average consumption value for the member for all items having the first item type may then be obtained based on the record of the second member's party, such that, a difference between the price of the second good and the average consumption value may be further determined, and when the price of the second good is lower than the average consumption value, recommending the second goods to the second member directly, when the price of the second goods is higher than the average consumption value, obtaining a second difference value between the first price and the first average consumption value, then judging whether the second difference value is within a second preset threshold range, if so, recommending the second goods to the second member, the second preset threshold may be arbitrarily set by the second member, and is not specifically limited in this embodiment. For example, when a first member wanes a facial cleanser which wants to buy the Fulirika through group purchase and the price of the facial cleanser is 150 Yuan, the average consumption value of a second member for buying skin care products is found to be 300 Yuan through judgment, and the link of the facial cleanser is directly recommended to the second member; when a first member is in need of group purchase of the down jackets and the price of the first member is 1500 Yuan, the average consumption value of the down jacket products purchased by a second member is found to be 800 Yuan through judgment, if the second preset threshold value is set to be 1000, the difference between the two is in the range of the second preset threshold value, and the link of the down jackets can be directly recommended to the second member.

Further, when the second member purchases a second good, obtaining a first price of the second good; obtaining a second average consumption value of the first member for the commodity with the first cargo type according to the first clustering record; comparing the first price to the second average consumption value; obtaining a third difference between the first price and the second average consumption value when the first price is higher than the second average consumption value; judging whether the third difference value meets a fourth preset threshold value or not; and recommending the second goods to the first member when the fourth preset threshold is met.

Further, after recommending the second goods to the second member when the first member purchases the second goods, or recommending the second goods to the first member when the second member purchases the second goods, the method further comprises: after the second member receives the information of the second goods sent by the first member, or after the first member receives the information of the second goods sent by the second member, a party-piecing order is initiated; obtaining a preset grouping condition of the grouping order; judging whether the preset group splicing condition is met or not according to the first member and the second member; and if not, sending the piecing order to a third member within a preset time, wherein the third member and the second member and/or the first member have a second piecing relation.

Specifically, when a first member purchases a second item, the second item is recommended to a second member, then the second member accepts the invitation for spelling of the second item sent by the first member, or when the second member purchases the second item, the second item is recommended to the first member, then the first member accepts the invitation for spelling of the second item sent by the second member, then a spelling order is initiated according to the requirement, a spelling condition of the spelling order, such as the number of parties, the time of the spelling, etc., is obtained, then it is determined whether the first member and the second member can meet the condition requirement of the spelling order, when the condition is not met, such as the number of parties is not met, a link of the spelling order is sent to a third member within a preset time, and the preset time is within a certain time before the end of the spelling time, that is, a part of time needs to be reserved for the first member or the second member to pull other members to participate, and meanwhile, whether the other members buy the group needs to be considered, wherein the third member and the second member or the first member also have a grouping relationship, so that the transaction conversion rate of the grouping commodities is further improved, and the experience of the participants is improved.

Further, the method further comprises: when the first member purchases a second good and/or when the second member purchases the second good, obtaining evaluation information of the second good; obtaining the evaluation score of the user for the second goods according to the evaluation information; judging whether the evaluation score meets a third preset threshold value; when the third preset threshold value is not met, sending reminding information to the first member and/or sending reminding information to the second member;

specifically, when the first member purchases the second goods and/or the second member purchases the second goods, all the evaluation information of the second goods by other users who purchased the product is further obtained, then, the second goods are scored according to the evaluation information correspondingly, whether the evaluation score meets a third preset threshold value or not is judged, and when the evaluation score meets the third preset threshold value, the member continues shopping, if not, the evaluation of the goods is not approved by the public, the quality or the subsequent service brings poor experience to the user, at this time, the reminding information is sent to the first member, and/or, the reminding information is sent to the second member, the information is provided for the first member or the second member in time, and the goods information screening is intelligently carried out on the user, so that the influence on the group experience of the user due to the fact that the user buys bad goods is avoided. For example, if a certain plum wants to piece together and buy a pair of shoes, the evaluation information of other users on the shoes is obtained with a score of 85 points, if the preset score is 70 points, the threshold requirement is met, the user can continue to buy the shoes, if the preset score is 90 points, the threshold requirement is not met, a reminding message needs to be sent to the certain plum to inform the user, and the user is prevented from buying an unsatisfactory product.

Example two

Based on the same inventive concept as the group-piecing marketing method in the foregoing embodiment, the present invention further provides a group-piecing marketing method and apparatus, as shown in fig. 2, the apparatus includes:

a first obtaining unit 11, wherein the first obtaining unit 11 is used for obtaining a first receiving address of a first member when the first member purchases a first goods;

a second obtaining unit 12, wherein the second obtaining unit 12 is configured to obtain a second receiving address of a second member when the second member purchases the first goods;

a first judging unit 13, where the first judging unit 13 is configured to judge whether a first preset condition is met according to the first receiving address and the second receiving address;

a first determining unit 14, where the first determining unit 14 is configured to determine that the first member and the second member have a first grouping relationship when the first preset condition is met;

a first recommending unit 15, where the first recommending unit 15 is configured to recommend the second goods to the second member when the first member purchases the second goods, or recommend the second goods to the first member when the second member purchases the second goods, if the first member and the second member both accept the grouping shopping mode according to the first grouping relationship.

Further, the apparatus further comprises:

Various changes and specific examples of the aforementioned grouping marketing method in the first embodiment of fig. 1 are also applicable to the grouping marketing device of this embodiment, and through the aforementioned detailed description of the grouping marketing method, those skilled in the art can clearly know the implementation method of the grouping marketing device in this embodiment, so for the brevity of the description, detailed descriptions are omitted here.

EXAMPLE III

Based on the same inventive concept as the one of the above-described grouping marketing methods, the present invention further provides a grouping marketing device, on which a computer program is stored, which when executed by a processor implements the steps of any one of the above-described grouping 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 group-piecing marketing method in the foregoing embodiments, the present invention also provides a computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements the steps of: when a first member purchases a first good, obtaining a first receiving address of the first member; obtaining a second shipping address of a second member when the second member purchases the first goods; judging whether a first preset condition is met or not according to the first goods receiving address and the second goods receiving address; when the first preset condition is met, determining that the first member and the second member have a first grouping relationship; according to the first grouping relationship, if the first member and the second member both accept a grouping shopping mode, recommending the second goods to the second member when the first member purchases the second goods, or recommending the second goods to the first member when the second member purchases the second goods.

In a specific implementation, when the program is executed by a processor, any method step in the first embodiment may be further implemented.

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

1. A method of conglomeration marketing, the method comprising:

when a first member purchases a first good, obtaining a first receiving address of the first member;

obtaining a second shipping address of a second member when the second member purchases the first goods;

judging whether a first preset condition is met or not according to the first goods receiving address and the second goods receiving address;

when the first preset condition is met, determining that the first member and the second member have a first grouping relationship;

according to the first grouping relationship, if the first member and the second member both accept a grouping shopping mode, recommending the second goods to the second member when the first member purchases the second goods, or recommending the second goods to the first member when the second member purchases the second goods.

2. The method of claim 1, wherein the method further comprises:

obtaining a first party record of the first member;

obtaining a first average purchasing power of the first member according to the first group-piecing record;

obtaining a second party record of the second member;

obtaining a second average purchasing power of the second member according to the second group record;

obtaining a first difference value according to the first average purchasing power and the second average purchasing power;

judging whether the first difference value meets a first preset threshold value or not;

and when the first preset threshold value is met, determining that the first member and the second member have a first grouping relationship.

3. The method of claim 2, wherein the method further comprises:

obtaining a first browsing record and a first sharing record of the first member;

obtaining a first favorite cargo type list of the first member according to the first browsing record, the first sharing record and the first grouping record;

obtaining a second browsing record and a second sharing record of the second member;

obtaining a second favorite cargo type list of the second member according to the second browsing record, the second sharing record and the second grouping record;

obtaining a first cargo type for the second cargo;

and when the first member purchases a second good and the first good type is in the second favorite goods type list, recommending the second good to the second member, or when the second member purchases the second good and the first good type is in the first favorite goods type list, recommending the second good to the first member.

4. The method of claim 3, wherein the method further comprises:

when the first member purchases a second good, obtaining a first price for the second good;

obtaining a first average consumption value of the second member for the commodity with the first goods type according to the second group record;

comparing the first price to the first average consumption value;

obtaining a second difference between the first price and the first average consumption value when the first price is higher than the first average consumption value;

judging whether the second difference value meets a second preset threshold value or not;

and recommending the second goods to the second member when the second preset threshold is met.

5. The method of claim 1, wherein the second good is recommended to the second member when the first member purchases the second good, or after the second good is recommended to the first member when the second member purchases the second good, the method further comprises:

after the second member receives the information of the second goods sent by the first member, or after the first member receives the information of the second goods sent by the second member, a party-piecing order is initiated;

obtaining a preset grouping condition of the grouping order;

judging whether the preset group splicing condition is met or not according to the first member and the second member;

and if not, sending the piecing order to a third member within a preset time, wherein the third member and the second member and/or the first member have a second piecing relation.

6. The method of claim 1, wherein the method further comprises:

when the first member purchases a second good and/or when the second member purchases the second good, obtaining evaluation information of the second good;

obtaining the evaluation score of the user for the second goods according to the evaluation information;

judging whether the evaluation score meets a third preset threshold value;

and when the third preset threshold value is not met, sending reminding information to the first member and/or sending reminding information to the second member.

7. A conglomerate marketing device, the device comprising:

8. A chunking marketing device 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:

9. A computer-readable storage medium, on which a computer program is stored, which program, when executed by a processor, carries out the steps of: