CN113744025A - E-commerce goods recommendation method based on WeChat small program and community keywords - Google Patents

E-commerce goods recommendation method based on WeChat small program and community keywords Download PDF

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CN113744025A
CN113744025A CN202111012453.2A CN202111012453A CN113744025A CN 113744025 A CN113744025 A CN 113744025A CN 202111012453 A CN202111012453 A CN 202111012453A CN 113744025 A CN113744025 A CN 113744025A
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杨勇
李雅鑫
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Feiwan Network Technology Suzhou Co ltd
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Feiwan Network Technology Suzhou Co ltd
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Abstract

The invention relates to the technical field of e-commerce goods, and discloses an e-commerce goods recommendation method based on a WeChat applet and community keywords. According to the E-commerce goods recommendation method based on the WeChat small program and the community keywords, the effect of effective stable sales of the community is achieved by setting E-commerce goods recommendation, the community, data acquisition, system analysis and buyer recommendation, the data acquisition and data storage effect is achieved through subsequent reading and analysis, the system analysis effectively achieves the best package effect, and the buyer recommends the effect of expanding the sales volume of the small program E-commerce platform.

Description

E-commerce goods recommendation method based on WeChat small program and community keywords
Technical Field
The invention relates to the technical field of e-commerce goods, in particular to an e-commerce goods recommendation method based on WeChat small programs and community keywords.
Background
Social e-commerce refers to a process of applying socialized elements such as attention, sharing, discussion, communication interaction and the like to purchase services of electronic commerce through a social network platform or a social function of an e-commerce platform so as to better complete a transaction. The consumers are presented with shop selection and commodity comparison before purchasing, communication and interaction with e-commerce enterprises in the purchasing process, consumption evaluation and shopping sharing after purchasing commodities, and the like.
The prior art has the following defects and shortcomings: the existing e-commerce system has the defects that the supply speed is slow, and when a merchant needs to change the price of a commodity or other information, a plurality of programs are needed, the working efficiency is low, and the existing commodity supply system needs workers to manage the commodity at any time, and the existing e-commerce system cannot find out the shortage of the commodity in time when the commodity quantity is insufficient, so that the buyer can lack the commodity in purchase.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an e-commerce goods recommendation method based on a WeChat applet and a community keyword, which can solve the problem of the existing e-commerce goods recommendation method based on the WeChat applet and the community keyword; this device is recommended, the community, data collection, system analysis and buyer recommend through setting up the E-commerce goods, carries out the effectual effect of stably selling of community, and the data collection is preserved follow-up reading analysis's effect with data, and the effectual effect that gives the best package of system analysis, and the buyer recommends the effective problem of solving of the effect that enlarges the sale amount of little procedure E-commerce platform.
In order to achieve the purpose of the E-commerce goods recommendation method based on the WeChat applet and the community keywords, the invention provides the following technical scheme: an e-commerce goods recommendation method based on WeChat small programs and community keywords comprises e-commerce goods recommendation, a community, data acquisition, system analysis and buyer recommendation.
Preferably, the e-commerce goods recommending step is as follows:
the method comprises the following steps: enterprise WeChat: the large-scale business needs to be done by the identity of an enterprise, on enterprise WeChat, the data of each client is dynamic and updated in real time, and can be continuously and deeply contacted with a user at any time, and iteration is continuously optimized;
step two: small program mall: the e-commerce applet avoids malignant competition in the industry by using the uniqueness of the applet, and marketing is carried out through the social platform and each large circle, so that the sales level can be guaranteed.
Preferably, the community step is as follows:
the method comprises the following steps: merging the aspiration: the method is a precondition for establishing the community, namely a community formed by gathering commodities together for common recognition;
step two: and (3) structural hierarchy: the method determines the survival of a community, wherein the structure comprises constituent members, an exchange platform, a joining principle and a management specification;
step three: value output: the method determines the value of the community, continuously outputs valuable things, is one of important indexes for checking the vitality of the community, and also measures the output result of group members, all the members in the good community have high-quality output in different levels and different fields, and stronger energy can be released;
step four: operation management: the service life of the community is determined, and the community which is not managed by operation hardly has a longer life cycle;
step five: copying and diffusing: the method determines the scale of the communities according to the growth stages of the communities, each community has a certain growth period, and different stages are controlled by different rhythms.
Preferably, the structural hierarchy further comprises:
the components are as follows: people who have the same quality are found and called to form a pyramid or a ring structure, and the initial group of members can have great influence on the subsequent communities;
a communication platform: for a large camp to be gathered as daily communication, QQ, WeChat, YY and the like are common at present;
the principle of addition is as follows: the community has old members and a platform is built, so that more people can be given with names slowly, a certain screening mechanism is set as a threshold to ensure the quality of the community, and a subscriber can be especially cherished the community because the subscriber is difficult to join;
management specification: more and more communities need to be managed, so that once an administrator is set up, the community specifications are improved continuously.
Preferably, the value output further comprises:
the ceremonial feeling: if the participation needs to pass the application, the group rule is accepted when the participation is in the group, the reward and punishment are accepted when the behavior is accepted, and the like, the community specification is ensured;
sense of participation: through organized discussion, sharing and the like, the community quality of talking, doing and harvesting in the group is ensured;
tissue feeling: for example, the battle effectiveness of the community is ensured through division, cooperation, execution and the like of certain subject matters;
attribution feeling: such as mutual assistance, activities, etc. by online and offline, thus ensuring the cohesion of the community.
Preferably, the data acquisition step is as follows:
the method comprises the following steps: the keyword of the purchased commodity: the enterprise WeChat customer service system collects the keywords of the product of the commodity which the shop owner wants to purchase through the enterprise WeChat group or when the enterprise WeChat customer service system communicates with the shop owner;
step two: storing in a database: the keywords of the products of the commodities which are expected to be purchased by the storekeeper are collected and stored in the database, so that the keywords can be conveniently searched in the subsequent search and the subsequent purchase of the client.
Preferably, the system analysis steps are as follows:
the method comprises the following steps: commercial products: the system reviews the past commodity associated sales information and integrates the existing data to increase the sales promotion of commodities:
step two: store shop: combining the physical store scale of the purchasing shop, the area of the shop and the current season for the current season to obtain hot commodities;
step three: and (3) a promotion scheme: the sales increase is promoted to a certain extent by the effect brought by the promotion activity and the increase of the number of commodities aiming at the exclusive package of the product combination of a single store;
step four: and (3) combining the set meal: and matching to obtain the optimal matching combination by combining the scheme given by the existing system.
Preferably, the buyer recommending steps are as follows:
the method comprises the following steps: WeChat applet keyword search: the method comprises the following steps that accurate requirements are met, and information of commodities is directly popped up in search keywords by a client or personnel in a community;
step two: social sharing: the interaction and sharing between the users and the enterprises are generated among the users to form a public praise transmission effect;
step three: WeChat public diversion: quick jumps of a public number menu, pictures and texts are supported, and small programs are guided based on contents/communities and the like;
step four: message template: the message template realizes 'secondary exposure' to help the second drainage or the repurchase;
step five: pushing messages: the used applets can all appear in an applet list in the WeChat discovery page through the use record, and if active communication is achieved with customer service, the business can push information to the customer service, so that more space is provided for diversion to conversion.
Compared with the prior art, the invention provides the E-commerce goods recommendation method based on the WeChat applet and the community keywords, which has the following beneficial effects:
1. the E-commerce goods recommendation method based on the WeChat applet and the community keywords comprises the steps of setting a community, establishing the community by the allegedly joint condition, namely, the joint approval of commodities, forming the community by gathering, determining the survival of the community by a structural level, wherein the structure comprises member, an exchange platform, a joining principle and a management standard, outputting the value, determining the value of the community, continuously outputting valuable things, determining one of important indexes of the vitality of the community, measuring the output result of a member, outputting high-quality output of different levels and different fields by all members in the good community, releasing stronger energy, determining the scale of the community by operation management and replication diffusion, determining the scale of the community by the scale of the community, and determining the growth stage of the community by the scale of the community, wherein each community has a certain growth period, different stages are controlled by different rhythms, so that a certain stable sale effect is achieved;
2. according to the E-commerce goods recommendation method based on the WeChat small program and the community keywords, by setting collected data, when an enterprise WeChat group or a shop merchant communicates with the WeChat small program, a system stores the keywords of the products of the commodities which the shop merchant wants to purchase into a database by collecting the keywords of the products of the commodities which the shop merchant wants to purchase, so that the keywords can be conveniently searched in subsequent searching and subsequent purchasing of a client, and the effect of storing the data and subsequently reading and analyzing the data is achieved;
3. according to the E-commerce goods recommendation method based on the WeChat small program and the community keywords, through setting system analysis, previous commodity associated sales information is reviewed through the system, the existing data are integrated to increase sales promotion of commodities, and the current season is quickly sorted out for hot commodities in the current season in the area where the shop belongs in combination with the physical shop scale of the purchasing shop;
4. the E-commerce goods recommendation method based on the WeChat small program and the community keywords comprises the following steps of setting recommendation of a buyer and searching through the WeChat small program keywords: the method has the advantages that accurate requirements are met, the customers or personnel in the community directly pop up information of commodities in search keywords, interaction and sharing between the users and enterprises are achieved between the users to form a public praise propagation effect, quick jumping of public number menus, pictures and texts is supported, the small programs are guided based on contents/the community, the information template achieves 'secondary exposure' to help the small programs to be guided or purchased again, use records are recorded, the used small programs can be displayed in a small program list in a WeChat discovery page, if active communication is achieved with customer service, the merchants can push information to the small programs, more space is provided for guiding to conversion, and accordingly the effect of expanding sales volume of a small program e-commerce platform is achieved.
Drawings
FIG. 1 is a schematic diagram of an E-commerce goods recommendation method based on WeChat small programs and community keywords according to the invention;
FIG. 2 is a community schematic diagram of an e-commerce goods recommendation method based on WeChat applets and community keywords according to the invention;
FIG. 3 is a schematic diagram of data collected by the e-commerce goods recommendation method based on the WeChat applet and the community keywords in accordance with the present invention;
FIG. 4 is a system analysis diagram of an e-commerce goods recommendation method based on WeChat small programs and community keywords according to the present invention;
fig. 5 is a schematic diagram of buyer recommendation of the e-commerce goods recommendation method based on the WeChat applet and the community keyword.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 5, an e-commerce item recommendation method based on a wechat applet and a community keyword includes e-commerce item recommendation, a community, data collection, system analysis, and buyer recommendation.
E-commerce goods recommendation steps are as follows:
the method comprises the following steps: enterprise WeChat: the large-scale business needs to be done by the identity of an enterprise, on enterprise WeChat, the data of each client is dynamic and updated in real time, and can be continuously and deeply contacted with a user at any time, and iteration is continuously optimized;
step two: small program mall: the e-commerce applet avoids malignant competition in the industry by using the uniqueness of the applet, and marketing is carried out through the social platform and each large circle, so that the sales level can be guaranteed.
The community steps are as follows:
the method comprises the following steps: merging the aspiration: the method is a precondition for establishing the community, namely a community formed by gathering commodities together for common recognition;
step two: and (3) structural hierarchy: the method determines the survival of a community, wherein the structure comprises constituent members, an exchange platform, a joining principle and a management specification;
step three: value output: the method determines the value of the community, continuously outputs valuable things, is one of important indexes for checking the vitality of the community, and also measures the output result of group members, all the members in the good community have high-quality output in different levels and different fields, and stronger energy can be released;
step four: operation management: the service life of the community is determined, and the community which is not managed by operation hardly has a longer life cycle;
step five: copying and diffusing: the method determines the scale of the communities according to the growth stages of the communities, each community has a certain growth period, and different stages are controlled by different rhythms.
The structural hierarchy further includes:
the components are as follows: people who have the same quality are found and called to form a pyramid or a ring structure, and the initial group of members can have great influence on the subsequent communities;
a communication platform: for a large camp to be gathered as daily communication, QQ, WeChat, YY and the like are common at present;
the principle of addition is as follows: the community has old members and a platform is built, so that more people can be given with names slowly, a certain screening mechanism is set as a threshold to ensure the quality of the community, and a subscriber can be especially cherished the community because the subscriber is difficult to join;
management specification: more and more communities need to be managed, so that once an administrator is set up, the community specifications are improved continuously.
The value output further includes:
the ceremonial feeling: if the participation needs to pass the application, the group rule is accepted when the participation is in the group, the reward and punishment are accepted when the behavior is accepted, and the like, the community specification is ensured;
sense of participation: through organized discussion, sharing and the like, the community quality of talking, doing and harvesting in the group is ensured;
tissue feeling: for example, the battle effectiveness of the community is ensured through division, cooperation, execution and the like of certain subject matters;
attribution feeling: such as mutual assistance, activities, etc. by online and offline, thus ensuring the cohesion of the community.
The data acquisition steps are as follows:
the method comprises the following steps: the keyword of the purchased commodity: the enterprise WeChat customer service system collects the keywords of the product of the commodity which the shop owner wants to purchase through the enterprise WeChat group or when the enterprise WeChat customer service system communicates with the shop owner;
step two: storing in a database: the keywords of the products of the commodities which are expected to be purchased by the storekeeper are collected and stored in the database, so that the keywords can be conveniently searched in the subsequent search and the subsequent purchase of the client.
The system analysis steps are as follows:
the method comprises the following steps: commercial products: the system reviews the past commodity associated sales information and integrates the existing data to increase the sales promotion of commodities:
step two: store shop: combining the physical store scale of the purchasing shop, the area of the shop and the current season for the current season to obtain hot commodities;
step three: and (3) a promotion scheme: the sales increase is promoted to a certain extent by the effect brought by the promotion activity and the increase of the number of commodities aiming at the exclusive package of the product combination of a single store;
step four: and (3) combining the set meal: and matching to obtain the optimal matching combination by combining the scheme given by the existing system.
The buyer recommending steps are as follows:
the method comprises the following steps: WeChat applet keyword search: the method comprises the following steps that accurate requirements are met, and information of commodities is directly popped up in search keywords by a client or personnel in a community;
step two: social sharing: the interaction and sharing between the users and the enterprises are generated among the users to form a public praise transmission effect;
step three: WeChat public diversion: quick jumps of a public number menu, pictures and texts are supported, and small programs are guided based on contents/communities and the like;
step four: message template: the message template realizes 'secondary exposure' to help the second drainage or the repurchase;
step five: pushing messages: the used applets can all appear in an applet list in the WeChat discovery page through the use record, and if active communication is achieved with customer service, the business can push information to the customer service, so that more space is provided for diversion to conversion.
In conclusion, the community is established by the allegedly concordance, namely the joint recognition of commodities, and is grouped together to form a community, the structure level is used for determining the survival of the community, the structure comprises the components, an exchange platform, a joining principle and a management specification, the value output is used for determining the value of the community, the continuous output of valuable things is used for examining and verifying the vital signs of the community, the output result of the members is also measured, all the members in the good community have high-quality output in different levels and different fields, stronger energy can be released, the scale of the community is determined by operation management and copying and diffusion, the scale of the community needs to see the growth stage of the community, each community has a certain growth period, and the different stages are controlled by different rhythms, so that the effect of stable sales is achieved, through the enterprise WeChat group or the WeChat communication with the shop owner, the system stores the keywords of the products of the commodities which the shop owner wants to purchase into the database by collecting the keywords of the products of the commodities which the shop owner wants to purchase, so as to facilitate subsequent search and searching the keywords during subsequent purchase of the customers, thereby achieving the effect of storing and subsequently reading and analyzing the data, reviewing the prior commodity associated sales information through the system, integrating the existing data to increase sales promotion of the commodities, combining the scale of the physical shop of the shop owner and the area where the shop belongs, rapidly sorting out the current season hot commodities, aiming at the package of the exclusive product combination of a single shop owner, the effect brought by the sales promotion activity and the increase of the number of the commodities promote the sales growth to a certain extent to carry out matching combination with the scheme given by the existing system, therefore, the effects of analyzing data and effectively giving the best package are achieved, and the method comprises the following steps of: the method has the advantages that accurate requirements are met, the customers or personnel in the community directly pop up information of commodities in search keywords, interaction and sharing between the users and enterprises are achieved between the users to form a public praise propagation effect, quick jumping of public number menus, pictures and texts is supported, the small programs are guided based on contents/the community, the information template achieves 'secondary exposure' to help the small programs to be guided or purchased again, use records are recorded, the used small programs can be displayed in a small program list in a WeChat discovery page, if active communication is achieved with customer service, the merchants can push information to the small programs, more space is provided for guiding to conversion, and accordingly the effect of expanding sales volume of a small program e-commerce platform is achieved.
The invention discloses a work use flow and an installation method, when the E-commerce goods recommendation method based on a WeChat small program and community keywords is used, the E-commerce goods recommendation, the community, data acquisition, system analysis and buyer recommendation are set, the E-commerce goods recommendation method needs to be done by the identity of an enterprise through large-scale commerce, the data of each client is dynamic on the WeChat of the enterprise, is updated in real time and can be continuously and deeply contacted with the user at any time, iteration is continuously optimized, because the enterprise is directly connected with the user, the enterprise in the ToB field needs to feed back faster, the iteration period of a product needs to be quicker, the E-commerce small program avoids malignant competition in the industry by utilizing the uniqueness of the small program, the marketing level can be ensured by utilizing a social platform and each large circle, marketing is established by the same way through setting the community, and is the premise of establishing the community by the same way, the commodity is commonly accepted, the commodities are grouped together to form a community, the structure level is used for determining the survival of the community, the structure comprises constituent members, an exchange platform, a joining principle and a management standard, the value output is used for determining the value of the community, continuously outputting valuable things is one of important indexes for checking the vitality of the community, the output result of a group member is also measured, all members in the good community have high-quality output in different levels and different fields, stronger energy can be released, the operation management and the replication diffusion determine the scale of the community, the scale of the community needs to see the growth stages of the community, each community has a certain growth period, the different stages are controlled by different rhythms, and the system collects keywords of products of commodities expected to be purchased by a shop through enterprise WeChat customer service and when the enterprise WeChat service or the shop WeChat communication, the method comprises the steps of storing keywords of products of commodities which are expected to be purchased by a collection shop into a database, searching the keywords when subsequent searching and subsequent purchasing of customers are facilitated, reviewing related sales information of commodities in the past through a system, integrating the existing data to increase sales promotion of the commodities, combining the physical shop scale of the purchasing shop, the area where the shop belongs to, and rapidly sorting out hot commodities in the current season, aiming at a package of exclusive product combinations of a single shop, the effect brought by sales promotion activities and the increase of the number of the commodities promote the sales growth to a certain extent and combine the scheme given by the existing system to match out the best matching combination, and searching through WeChat small program keywords: the method has the advantages that accurate requirements are met, the customers or personnel in the communities search keywords to directly pop up information of commodities, interaction and sharing between users and enterprises are achieved between the users to form a public praise propagation effect, quick jumping of public number menus, pictures and texts is supported, the small programs are guided based on contents/communities and the like, the information template achieves 'secondary exposure' to help the small programs to be guided or purchased again, the used small programs are recorded and can be displayed in a small program list in a WeChat discovery page, and if the small programs are actively communicated with customer service, the merchants can push information to the small programs, so that more space is provided for conversion from guiding to conversion.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. An E-commerce goods recommendation method based on WeChat small programs and community keywords is characterized by comprising the following steps: including e-commerce item recommendations, communities, collected data, system analysis, and buyer recommendations.
2. The e-commerce goods recommendation method based on the WeChat applet and the community keywords as claimed in claim 1, wherein: the E-commerce goods recommending steps are as follows:
the method comprises the following steps: enterprise WeChat: the large-scale business needs to be done by the identity of an enterprise, on enterprise WeChat, the data of each client is dynamic and updated in real time, and can be continuously and deeply contacted with a user at any time, and iteration is continuously optimized;
step two: small program mall: the e-commerce applet avoids malignant competition in the industry by using the uniqueness of the applet, and marketing is carried out through the social platform and each large circle, so that the sales level can be guaranteed.
3. The e-commerce goods recommendation method based on the WeChat applet and the community keywords as claimed in claim 1, wherein: the community steps are as follows:
the method comprises the following steps: merging the aspiration: the method is a precondition for establishing the community, namely a community formed by gathering commodities together for common recognition;
step two: and (3) structural hierarchy: the method determines the survival of a community, wherein the structure comprises constituent members, an exchange platform, a joining principle and a management specification;
step three: value output: the method determines the value of the community, continuously outputs valuable things, is one of important indexes for checking the vitality of the community, and also measures the output result of group members, all the members in the good community have high-quality output in different levels and different fields, and stronger energy can be released;
step four: operation management: the service life of the community is determined, and the community which is not managed by operation hardly has a longer life cycle;
step five: copying and diffusing: the method determines the scale of the communities according to the growth stages of the communities, each community has a certain growth period, and different stages are controlled by different rhythms.
4. The e-commerce goods recommendation method based on the WeChat applet and the community keywords as claimed in claim 3, wherein: the structural hierarchy further includes:
the components are as follows: people who have the same quality are found and called to form a pyramid or a ring structure, and the initial group of members can have great influence on the subsequent communities;
a communication platform: for a large camp to be gathered as daily communication, QQ, WeChat, YY and the like are common at present;
the principle of addition is as follows: the community has old members and a platform is built, so that more people can be given with names slowly, a certain screening mechanism is set as a threshold to ensure the quality of the community, and a subscriber can be especially cherished the community because the subscriber is difficult to join;
management specification: more and more communities need to be managed, so that once an administrator is set up, the community specifications are improved continuously.
5. The e-commerce goods recommendation method based on the WeChat applet and the community keywords as claimed in claim 3, wherein: the value output further comprises:
the ceremonial feeling: if the participation needs to pass the application, the group rule is accepted when the participation is in the group, the reward and punishment are accepted when the behavior is accepted, and the like, the community specification is ensured;
sense of participation: through organized discussion, sharing and the like, the community quality of talking, doing and harvesting in the group is ensured;
tissue feeling: for example, the battle effectiveness of the community is ensured through division, cooperation, execution and the like of certain subject matters;
attribution feeling: such as mutual assistance, activities, etc. by online and offline, thus ensuring the cohesion of the community.
6. The e-commerce goods recommendation method based on the WeChat applet and the community keywords as claimed in claim 1, wherein: the data acquisition steps are as follows:
the method comprises the following steps: the keyword of the purchased commodity: the enterprise WeChat customer service system collects the keywords of the product of the commodity which the shop owner wants to purchase through the enterprise WeChat group or when the enterprise WeChat customer service system communicates with the shop owner;
step two: storing in a database: the keywords of the products of the commodities which are expected to be purchased by the storekeeper are collected and stored in the database, so that the keywords can be conveniently searched in the subsequent search and the subsequent purchase of the client.
7. The e-commerce goods recommendation method based on the WeChat applet and the community keywords as claimed in claim 1, wherein: the system analysis steps are as follows:
the method comprises the following steps: commercial products: the system reviews the past commodity associated sales information and integrates the existing data to increase the sales promotion of commodities:
step two: store shop: combining the physical store scale of the purchasing shop, the area of the shop and the current season for the current season to obtain hot commodities;
step three: and (3) a promotion scheme: the sales increase is promoted to a certain extent by the effect brought by the promotion activity and the increase of the number of commodities aiming at the exclusive package of the product combination of a single store;
step four: and (3) combining the set meal: and matching to obtain the optimal matching combination by combining the scheme given by the existing system.
8. The e-commerce goods recommendation method based on the WeChat applet and the community keywords as claimed in claim 1, wherein: the buyer recommending steps are as follows:
the method comprises the following steps: WeChat applet keyword search: the method comprises the following steps that accurate requirements are met, and information of commodities is directly popped up in search keywords by a client or personnel in a community;
step two: social sharing: the interaction and sharing between the users and the enterprises are generated among the users to form a public praise transmission effect;
step three: WeChat public diversion: quick jumps of a public number menu, pictures and texts are supported, and small programs are guided based on contents/communities and the like;
step four: message template: the message template realizes 'secondary exposure' to help the second drainage or the repurchase;
step five: pushing messages: the used applets can all appear in an applet list in the WeChat discovery page through the use record, and if active communication is achieved with customer service, the business can push information to the customer service, so that more space is provided for diversion to conversion.
CN202111012453.2A 2021-08-31 2021-08-31 E-commerce goods recommendation method based on WeChat small program and community keywords Pending CN113744025A (en)

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