CN115187277A - Intelligent marketing system based on electronic business card - Google Patents
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Abstract
The invention discloses an intelligent marketing system based on electronic business cards, which belongs to the technical field of marketing and comprises a business card module, a tracking module and a server; the business card module is used for generating an electronic business card; the tracking module is used for tracking and analyzing the client behavior information, acquiring openid and unioni of the visitor under the authorization of the user, and layering the user by adopting an AARRR user layering model, wherein the AARRR model comprises acquisition, activation, retention, recommendation and manifestation; real-time incremental data and stock data of Spark are adopted, and Spark Streaming is used for accessing real-time Kafka forwarding data for index real-time analysis calculation and prediction; the stock data accesses the MongoDB database, widens the channels of getting customers through intelligent electronic business card marketing products, and makes the offline activities online to obtain higher-quality returns and reduce the loss of potential customer clues.
Description
Technical Field
The invention belongs to the technical field of marketing, and particularly relates to an intelligent marketing system based on electronic business cards.
Background
With the continuous development of information technology, the original marketing and marketing expenses are mainly used for advertising, sales promotion, preferential activities and the like, the purpose is to improve the scale of users and shape brand influence, and with the continuous rise of the maintenance and acquisition cost of the users and the continuous change of communication tools, the original marketing mode has greater limitation, so that at present, brand owners need to improve the stock operation capacity urgently and cultivate the user stickiness; therefore, the invention provides an intelligent marketing system based on electronic business cards, aiming at the problems of difficulty in obtaining customers, difficulty in leaving customers, difficulty in producing contents, high conversion cost and the like.
Disclosure of Invention
In order to solve the problems existing in the scheme, the invention provides an intelligent marketing system based on electronic business cards.
The purpose of the invention can be realized by the following technical scheme:
an intelligent marketing system based on electronic business cards comprises a business card module, a tracking module and a server;
the business card module is used for generating an electronic business card; the tracking module is used for tracking and analyzing the customer behavior information, and the specific method comprises the following steps:
acquiring openid and unioni of visitors under the authorization of a user, and layering the user by adopting an AARRR user layering model, wherein the AARRR model comprises acquisition, activation, retention, recommendation and manifestation; real-time incremental data and stock data of Spark are adopted, and Spark Streaming is used for accessing real-time Kafka forwarding data for index real-time analysis calculation and prediction; the stock data accesses a MongoDB database for model training of machine learning; and setting a client unit and analyzing the behavior of the client.
Further, the working method of the business card module comprises the following steps:
setting a standardization unit, wherein the standardization unit is used for setting a standard electronic business card by an enterprise administrator, adding staff information needing to set the standard electronic business card by the enterprise administrator to form an added staff list, and generating corresponding standard electronic business cards in batches according to the added staff list; the standard electronic business card comprises a standard part and a personal part, wherein the standard part is a fixed part and can only be adjusted by an enterprise administrator, and the personal part is adjusted by corresponding enterprise staff;
after the staff obtains the standard electronic business card, the personal part of the standard electronic business card is adjusted according to personal needs to obtain the staff electronic business card.
Further, the method of operation of the client unit comprises:
obtaining a customer index value, converting the customer index value into a product assignment, and marking the product assignment as PZi, wherein i represents a corresponding index, i =1, 2, … …, n, and n is a positive integer; setting a weight coefficient of a corresponding index, marking the weight coefficient as alpha i, acquiring historical conversion data of a corresponding client, analyzing the acquired historical conversion data to acquire a client correction value, marking the client correction value as KX, and calculating a product recommendation value formula according to the product recommendation value formula
Calculating a product recommended value, wherein b1 and b2 are both proportional coefficients, and the value range is 0<b1≤1，0<b2 is less than or equal to 1, lambda is a correction factor and has a value range of 0<Lambda is less than or equal to 1; and marking the product with the product recommendation value larger than the threshold value X1 as a target product, analyzing the target product, acquiring the information of similar recommended products, and sending the information to corresponding business personnel.
Further, the method for obtaining the customer index value comprises the following steps:
the method comprises the steps of obtaining client track information, pushing the client track information to kafaka, cleaning data through pyspark, completing index extraction of unstructured data, converting the unstructured data into an index value used for operation and maintenance, carrying out quantitative statistics and analysis of message content on the index value obtained through Spark RDD operators, establishing a learning model, and filtering invalid information of the index value through the learning model to obtain a client index value.
Further, the method for analyzing the target product comprises the following steps:
identifying the types of target products, screening similar products in the enterprise according to the types of the target products, calculating the matching degree of the similar products by taking the target products as a reference, calculating the adaptability between the similar products and corresponding customers, integrating the matching degree and the adaptability of a single similar product into a combined coordinate, and inputting the combined coordinate into a coordinate system;
the method comprises the steps of obtaining a product recommendation value of a target product, matching a corresponding maximum combination radius according to the obtained product recommendation value, identifying a combination center in a coordinate system, obtaining a combination area according to the combination center and the combination radius, identifying a combination coordinate in the combination area, and marking the similar products corresponding to the combination coordinate as similar recommendation products.
Further, the method for calculating the matching degree of the similar products by taking the target product as a reference comprises the following steps:
classifying products in an enterprise according to types, marking the products as classified products, setting characteristic extraction items corresponding to the products of the types, extracting the characteristics of the classified products according to the set characteristic extraction items, converting the characteristics into characteristic vectors, and marking the vectors as TXj, wherein i represents the corresponding classified products, j =1, 2, … … and m is a positive integer; establishing a product feature library according to the classified product information and the corresponding characteristic vectors;
matching the corresponding product feature library according to the target product information, matching the corresponding characteristic vector from the product feature library, marking as TM, and matching according to a matching formula
And calculating the matching degree between the target product and the classified product, wherein eta is an adjusting coefficient.
Furthermore, the system also comprises an intelligent chatting module, a marketing recommendation module and a driving module;
the intelligent chat module is used for consulting by the client and marking a corresponding label for the client according to the consulting record;
the marketing recommendation module is used for pushing industry hotspot information to the client;
the driving module is used for promoting staff to obtain guests by using the electronic business cards.
Furthermore, the intelligent chat module manually labels the chat content based on the chat content with the client.
Compared with the prior art, the invention has the beneficial effects that:
the method has the advantages that through intelligent electronic business card marketing products, customer acquisition channels are widened, offline activities are online, higher-quality returns are obtained, and loss of potential customer clues is reduced; the product is not only a simple electronic business card, but also can display the unified enterprise image by integrating staff, product/service, company and self-media into a whole, and can easily develop WeChat client resources through AI sky eyes, achieve business card fission, intelligently screen intention clients, intelligently analyze client characteristics and establish a transaction track in a labeling way; the intelligent business card takes the WeChat small program as a carrier, skips over WeChat friends for direct communication, shortens the distance between an enterprise and a user, and enables the conversion to be more efficient. In addition, the client also builds an intelligent electronic business card for the enterprise by using the small program, and the intelligent electronic business card becomes a main place for the enterprise to publicize, promote and obtain the clients and the live clients.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
As shown in fig. 1, an intelligent marketing system based on electronic business cards includes a business card module, a tracking module, an intelligent chat module, a marketing recommendation module, a driving module and a server;
the business card module is used for generating electronic business cards, and the specific method comprises the following steps:
the method comprises the steps that a standardization unit is arranged, the standardization unit is used for an enterprise administrator to set standard electronic business cards, the standard electronic business cards can be applied to staff of one or the whole department as required, the staff business cards can change immediately, the standardization unit is manually set by the enterprise administrator as required and is equivalent to the initial electronic business cards of the enterprise staff, the enterprise administrator adds staff information needing to set the standard electronic business cards to form an added staff list, and corresponding standard electronic business cards are generated in batches according to the added staff list; the standard electronic business card comprises a standard part and a personal part, wherein the standard part is a fixed part and can only be adjusted by an enterprise administrator, and the personal part is adjusted by corresponding enterprise staff;
after the staff obtains the standard electronic business card, the personal part of the standard electronic business card is adjusted according to personal needs to obtain the electronic business card, namely the electronic business card used by the individual.
Illustratively, an enterprise administrator sets basic decoration information of business cards in a PC management background, namely, standard electronic business cards are set, and then one or all employees of a department are applied, and the business cards of the employees can change immediately. The business card decoration is divided into two modes of specific application and initialization application, namely a personal part and a standard part, the initialization application mode is that new employees are added and all employees in the whole department are applied in batches, one-time application is realized, the whole quantity of business cards are generated, and the management and the distinguishing of related employees by enterprise managers are fully and conveniently realized.
And the information change is pushed to the MQ message queue, and the business card updating task at the server side can read the MQ message to update the business cards of the staff under the corresponding enterprise and synchronously update the personal information business card addresses of the staff.
The decorated content includes but is not limited to basic information of business cards, my impression, my brief introduction, my products, my cases, my videos, picture exhibition and the like, and the functions can perform corresponding content supplement, while the specific application uses the function of decorating the business cards and applies to certain specific employees who have special positions or identifications, such as recommended products or picture exhibition. In addition, the name card styles are dozens of styles, can be applied to employees, and can be immediately effective when different styles are selected for switching.
Because the business card related information of each employee is not completely identical, compared with the telephone number, a plurality of telephone numbers and a plurality of electronic mailboxes may exist in a sales department at the same time, the employee can also change certain business card information at an enterprise and micro AI end, basic information such as the personal telephone number, micro letter, mailbox, image and the like is not uniform, and is individual, corresponding modification operation must be carried out on the employee, the business card decoration content after the administrator applies the employee or the personal information modified by the employee can enter a business card generation queue message, a server related program script can immediately generate a business card picture, after a small program business card two-dimensional code or micro letter forwarding is checked by a client, the client acquires the business card related to the employee in real time, latest products, cases and personalized pictures of the employee are transmitted in time, rapid decoration can be carried out through a bottom technology, a business card generating mechanism, namely point-and play is adopted, and powerful guarantee is provided for subsequent acquisition of an electronic business card, data transmission and popularization of a successful case, and the electronic business card acquisition is started.
The tracking module is used for tracking and analyzing the customer behavior information, and the specific method comprises the following steps:
the method comprises the steps that when a user authorizes to obtain openid and unioni of a visitor in a concerted manner, an AARRR user layering model is adopted to layer the user, the AARRR model is composed of five parts, namely Acquisition, activation, retention, refer, revenue and Revenue, a user flow funnel is formed, the Retention is used as an assessment standard of the Revenue, if a client actively retains a contact mode, namely representing Revenue, and the client repeatedly visits certain products, the current client is considered as a recommending client, and sales required by the client pay attention to follow up in time.
Real-time incremental data and inventory data of spark are adopted. Real-time data is accessed into Kafka forwarding data in real time by using Spark Streaming and is used for index real-time analysis calculation and prediction; and the stock data accesses a MongoDB database for model training of machine learning.
Each triggering operation of a client can timely push WeChat information and AI end short message notification to a current business card, a client unit is set, behaviors of the client can be conveniently and timely analyzed, for example, which product is clicked, the time length of browsing products and cases is long, and how long a detailed case is clicked, information can be timely transmitted to other media such as WeChat owned by the current business card, the information is pushed to kafaka, once the information is received, data cleaning is carried out through pyspark, and the purpose of data cleaning is to carry out index extraction on unstructured data read through MongoDB or Kafka and convert the unstructured data into index values used for operation and maintenance, for example, time stamps, host names, message codes and message content keywords are extracted through Python regular expressions in log data. After the index values are screened out, quantitative statistics and analysis of message contents are carried out on the indexes through a Spark RDD operator, functions of classifying or regressing the index values, pattern recognition of alarm contents, association analysis and the like are achieved through a learning model, some invalid information is filtered, products required by a client can be known, related products can be analyzed in real time, in addition, the small program has a dynamic function, the client can clearly pay attention to real-time dynamics of a company where a business card user is located through uninterruptedly sending the related dynamics, each dynamic state checked by the client can be timely transmitted to staff of the business card user, although the interaction is not real time, tracking of data information is uninterrupted, the client and the business card owner do not have any relation, and data transmission always has association by means of a big data analysis technology.
In one embodiment, the client unit operates by:
obtaining a customer index value, converting the customer index value into a product assignment value, and marking the product assignment value as PZi, wherein i represents a corresponding index, i =1, 2, … …, n is positive integerCounting; setting a weight coefficient of a corresponding index, marking the weight coefficient as alpha i, acquiring historical conversion data of a corresponding client, analyzing the acquired historical conversion data to acquire a client correction value, marking the client correction value as KX, and calculating a product recommendation value formula according to the product recommendation value formula
Calculating a recommended value of the product, wherein b1 and b2 are both proportional coefficients and have a value range of 0<b1≤1，0<b2 is less than or equal to 1, lambda is a correction factor and has a value range of 0<Lambda is less than or equal to 1; marking the products with the product recommendation value larger than a threshold value X1 as target products, wherein the threshold value X1 is discussed and set by an expert group; and analyzing the target product, acquiring information of similar recommended products, and sending the information to corresponding service personnel.
And converting the client index value into a product assignment, setting a corresponding conversion assignment matching table by the expert group, and matching to obtain a corresponding product assignment. The weighting coefficients are set by the expert group based on all the historical customer conversion data.
The obtained historical conversion data is analyzed, intelligent analysis is carried out by adopting a mode of establishing a neural network model, and a specific establishing and training method is common knowledge in the field.
The method for acquiring the client index value comprises the following steps:
the method comprises the steps of obtaining client track information including which product is clicked, the time length of browsing the product and the case, the time length of clicking the detailed case, pushing the client track information to kafaka, cleaning data through pyspark, completing index extraction of unstructured data, converting the unstructured data into an index value used for operation and maintenance, carrying out quantitative statistics and analysis of message content on the index value obtained through Spark RDD operators, establishing a learning model, and filtering invalid information of the index value through the learning model to obtain the client index value.
How to build the learning model is common knowledge in the art, and therefore, will not be described in detail.
The method for analyzing the target product comprises the following steps:
identifying the types of target products, screening similar products in the enterprise according to the types of the target products, calculating the matching degree of the similar products by taking the target products as a reference, calculating the adaptability between the similar products and corresponding customers, integrating the matching degree and the adaptability of a single similar product into a combined coordinate, and inputting the combined coordinate into a coordinate system;
obtaining a product recommendation value of a target product, matching a corresponding maximum merging radius according to the obtained product recommendation value, identifying a merging center in a coordinate system, obtaining a merging area according to the merging center and the merging radius, identifying a merging coordinate in the merging area, and marking the similar products corresponding to the merging coordinate as similar recommended products.
Calculating the fitness between the similar products and the corresponding clients, namely judging the conformity degree between the corresponding similar products and the corresponding clients according to the consumption records before the clients, firstly setting client consumption labels, matching the corresponding fitness between the similar products and the consumption labels, wherein the specific unpublished part is common knowledge in the field, and thus detailed description is omitted.
And matching the corresponding maximum merging radius according to the obtained product recommendation value, setting a corresponding matching table by an expert group in advance, and matching the corresponding maximum merging radius according to the matching table.
The method for identifying the merging center in the coordinate system is selected according to the matching degree and the fitness corresponding to the merged coordinate, and the product closest to the target product is taken as the merging center; or directly taking the coordinates corresponding to the target product as the center to perform the corresponding maximum merging radius adjustment, which is specifically common knowledge in the art, and therefore, the detailed description is omitted.
The method for calculating the matching degree of the similar products by taking the target product as the reference comprises the following steps:
classifying products in an enterprise according to types, marking the products as classified products, setting characteristic extraction items corresponding to the products of the types, extracting the characteristics of the classified products according to the set characteristic extraction items, converting the characteristics into characteristic vectors, and marking the vectors as TXj, wherein i represents the corresponding classified products, j =1, 2, … … and m is a positive integer; establishing a product feature library according to the classified product information and the corresponding characteristic vectors;
matching corresponding product characteristics according to target product informationLibrary, matching corresponding characteristic vector from product feature library, marking as TM, and matching according to matching formula
And calculating the matching degree between the target product and the classified product, wherein eta is an adjustment coefficient and is discussed and set by an expert group.
The characteristic extraction items of the corresponding type of products are set manually according to the characteristics of the corresponding type of products, such as price, application, package, weight and the like.
The characteristic extraction of the classified products is carried out according to the set characteristic extraction items, and the extraction can be carried out by the existing data extraction technology.
The method for converting the characteristic vector is to perform assignment conversion on the extracted data to form corresponding assignments, and establish the characteristic vector according to the obtained assignments, and the specific unpublished part is common knowledge in the field, so detailed description is omitted.
The intelligent chat module is used for consulting by the client and marking a corresponding label for the client according to the consulting record;
through the continuous transmission of data, the update of relevant data of electronic business cards of employees, the continuous love of clients, and the clients can initiate the consultation of various products or cases. Every consultation is informed to an AI end in real time or is reminded by WeChat or short message, so that the chat message sent by the client can be pushed to a person corresponding to the staff business card in time to answer the question or the demand of the client in time, and the satisfaction degree of the client is greatly improved by tracking service in the whole process of 24 hours, thereby improving the acceptance degree of related products. And meanwhile, the client can be manually labeled according to the chat content.
The information that the electronic business card transmitted is not merely the simple information description of certain staff's business card, what show often lets the customer go to find more value through a business card, this and traditional paper business card difference, every product, case and pamphlet all have corresponding chat entry, in time fix a position the information when making things convenient for the chat consultation, the customer finds the product that customer oneself needs the consultation anytime and anywhere, intelligent robot replies the function equally abundantly simultaneously, make a telephone call, add the believe function of a little and can both demonstrate at the chat window, social channel through abundant communication mode and various approaches, ensure that the customer can not fall alone. Therefore, the electronic business card has the social function while displaying individuation, and the dependence on social tools such as a traditional tool is broken.
The marketing recommendation module is used for pushing industry hotspot information to the client;
through the active chat of customers, the customers are often customers who meet the needs of the customers or need solutions urgently, and the customers 'actively take a hit'. Certainly, some clients who check the business card and do not initiate active chatting exist, and the existing content may not arouse the interest of the clients, so that an industry article consultation unit and a video information unit are arranged, and the clients can further know the products and cases of the electronic business card through detailed industry consultation cases and video introduction.
The article industry information unit recommends industry hotspot information in time through individuation, and through the citation of articles, for example, the current new energy rises, the market has abundant industrial requirements on new energy automobiles and lithium batteries, but some enterprises and factories engaged in the new energy industry also face some difficulties, and the enterprises and factories do not know the problems and the problems, so that the industry is good, but the development of the enterprises and factories is not satisfactory. The article industry information module carries real-time hot spot information, adds corresponding product or case solution schemes, two-dimensional codes of electronic business cards of publishers and other contact ways, timely chats a system tool, and accurately acquires the industry of customers through a big data technology, so that the hot spot information corresponding to the industry of customers and product cases of customers in corresponding industries are pushed in real time, real-time recommendation of the customers is really realized, the value of the business cards transmitted by the customers to the electronic business cards is not only a traditional paper business card, but also a business card can know the development trend of the whole industry.
The video information unit can vividly reflect hot information of each industry, the picture is more visual, through the display of actual video data and the video explanation of detailed cases, a client can deeply know the current industry condition and development trend, through a big data technology, the recommended video seen by each client is consistent with that of the industry, the bottom of each video detail page is provided with a corresponding product or case text link, and the client can consult more quickly and accurately by corresponding contact modes of a name card two-dimensional code, weChat, intelligent chat, telephone and the like of an electronic name card owner.
The article or video industry consultation is through the actual article or video description, and the big data recommendation algorithm is oriented, so that each client sees the content which is the problem encountered by the current client or the content in which the client is interested, and the manner enables the client to easily find the problem needing to be improved or solved, helps the client really realize that the current industry information can be obtained in real time by scanning one business card, and further improves the marketing capacity.
The driving module is used for promoting staff to use the electronic business card to obtain a guest;
the source of the client is provided, the user of the electronic business card is a great motive force, certainly, according to the angle of the electronic business card, each employee is provided with a different electronic business card, each employee corresponds to one two-dimensional code, the more people scan the code to obtain the guest, the different data sources of the guest are related guest obtaining success cases carried out in the modes of the electronic business card two-dimensional code and the like, and for the manager of the business card, the employee is continuously promoted to use the electronic business card to obtain the guest.
Because the main body of the electronic business card application object is the same enterprise or organization, the electronic business card has a special client which sees the multi-dimensional data statistics or ranking of the current electronic business card user obtaining the customers in the company or the department, the digital entities such as the client clue number, the client number, the successful transaction of the client and the like of each employee are displayed, and the evaluation on the actual workload of the employee and the performance of the work can be clear through the multi-dimensional line chart and the list display.
The driving mechanism can stimulate the staff to acquire more customers, the assessment of the staff is a powerful tool, the staff can further forward through the business card and actively contact the customers, so that more customer data are acquired, the customer volume is increased, the staff and the customers continuously communicate with each other, the marketing mechanism of business card fission is achieved all the time, and the wide propagation is indirectly provided for business card fission propagation.
Through the steps and depending on a big data technology, the customer actively forwards or shares the electronic business card to enable the business card to be cracked and spread faster and faster, and the customer is easier and easier to get, so that the electronic business card is a great breakthrough to the traditional paper business card.
The main supporting force of fission propagation is that after a business card is generated, operation data of a client is continuously transmitted to a background of business card staff, business card data of related products, cases and the like seen by the client can be closer to the requirements of the client, the client can further forward the business card to all staff of a client company or organization and the client or the peer of the client, and staff of the client can continuously forward the business card to more people. The data can be completely displayed and collected by triggering each business card operation and browsing and clicking each time, the business cards are quickly split and spread through a quick social tool and personalized popularization, and WeChat friends can obtain the recommendation of the related business cards. Fission propagation is the final catalogue of the electronic business card, so that intelligent marketing can be realized by using one electronic business card.
The electronic business card realizes the customer acquisition and transmission through the WeChat small program technology:
1. the one-click sharing can be sent to WeChat friends and WeChat groups in a group or forwarded to a friend circle.
2. The method is not limited by time and regions, and is continuously diffused and spread by virtue of the advantages of WeChat fission, so that the method is wide in audience range.
3. With the technical support, more information can be displayed, such as related enterprise brand official networks and introduction of product service contents.
4. The mobile phone can make a call by one key, recognize information communication functions of adding WeChat to the two-dimensional code, leaving a message in an online form and the like, and has a positioning navigation function, so that visitors can conveniently arrive at a store and the like.
At present, electronic business cards based on WeChat propagation are common in the forms of H5 pages and business card applets, can be shared in WeChat friends, weChat groups or friend circles, and are displayed in the form of an article record; it can also be added to WeChat groups and public articles as gadgets. Through click access, the business card information is known, more contents such as serial company publicity and brand service are realized, and meanwhile, information such as contact ways and office addresses is obtained, so that contact and communication are facilitated.
First, with technical support, pages based on wechat propagation, the "information cover" appearing in chat conversations, circles of friends, usually takes 3 presentation forms:
1. two-dimensional code poster picture: and identifying the two-dimensional code by long pressing the picture, and jumping to enter a new page.
2. A piece of information with pictures and titles: clicking to jump to a new page.
3. WeChat applet: click directly to access the applet page.
When an electronic business card is shared and transmitted in a WeChat environment, the shell cover displayed outside can be used by the 3 forms. And clicking to access, and then jumping to the inner page of the electronic business card display. On the electronic business card page, a communication mode can be obtained, business services can be checked, a preliminary impression can be established, and communication can be generated. After the communication is established, the sales staff continuously follow up to promote the transaction. An electronic business card becomes an important link for solving the link of getting customers and transforming after the promotion and promotion are finished.
The method comprises the following steps: creating a practical intelligent business card:
1. a two-dimensional code poster;
a poster picture, a concise and attractive file and speech technique matched with language, and a page two-dimensional code generated by the technology can be directly used for sharing and popularization. And by combining a marketing mechanism, more people are promoted to participate, and the WeChat group, the friends and the friend circle of more people are shared and popularized.
Through the WeChat identification two-dimensional code technology, code scanning pictures or long-time press identification are carried out, the inner pages of poster pictures are accessed, and the pages of electronic business cards are displayed.
And (4) carrying out drainage on the two-dimensional code poster picture, and then, retrieving the electronic business card for customer conversion.
2. Smart forms (chat);
the form is suitable for various information collection scenes, and when the form is combined with a business card, the form is defined as a part of the communication component function and is used for receiving and transmitting various message information or business opportunity clues.
Through various possible information consultation scenes, visitor leave a message for consultation, and the intelligent business card pushes the received information to an operator to follow up processing.
Taking an electronic business card of a salesperson as an example, the business card page table sheet receives consultation information, the system pushes the consultation information to the salesperson to follow, the information is filtered, effective information is precipitated, the effective information continues to follow until a transaction is achieved, and the system becomes a cooperative client.
3. One-key dialing of a telephone;
if the two types are used for popularizing and receiving information, the direct communication is convenient if a one-key dialing function is used, the traditional advertisement people see the telephone and need to input a mobile phone number to generate the contact, and the intelligent business card can realize and solve the problem of inconvenient communication. When a user needs to know more about a certain service or service, the user can directly make a call at the mobile phone end to directly communicate with sales or service personnel, and information can be acquired more efficiently through communication.
4. Adding WeChat;
the use and popularization of WeChat are not doubtful, and all aspects in life, establishing connection and generating communication need to pass the WeChat. It has several functions of information communication, telephone and video, etc., and is further than making telephone.
The intelligent business card comprises a WeChat module, a WeChat two-dimensional code is displayed, the WeChat is directly identified and added, the two parties establish a relationship, and then information can be obtained by consultation immediately.
In various practical marketing scenes, the customer WeChat is the most important link before obtaining customers.
Step two: planning an intelligent business card application scene;
the customer needs are actively mined, mainly for establishing contact, generating communication and providing convenient service. The application of the intelligent business card needs to be connected with the business service scene in series, and the intelligent business card plays a better role.
Application scenarios
1. A PC terminal official network;
2. moving the micro official net;
3. a public number or applet;
4. pushing by other channels;
step three: pushing out a driving mechanism to continuously push business cards to be spread;
the online of a product needs to plan a marketing mode to be popularized, and the online use of the intelligent business card as a customer acquisition and conversion tool also needs to be matched with a marketing driving mechanism, so that the product can be popularized and used in a wider range, and becomes a marketing tool for enabling enterprises to acquire customers and convert the customers.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. An intelligent marketing system based on electronic business cards is characterized by comprising a business card module, a tracking module and a server;
the business card module is used for generating an electronic business card; the tracking module is used for tracking and analyzing the customer behavior information, and the specific method comprises the following steps:
acquiring openid and unioni of visitors under the authorization of a user, and layering the user by adopting an AARRR user layering model, wherein the AARRR model comprises acquisition, activation, retention, recommendation and manifestation; real-time incremental data and stock data of Spark are adopted, and Spark Streaming is used for accessing real-time Kafka forwarding data for index real-time analysis calculation and prediction; the stock data accesses the MongoDB database for model training of machine learning; and setting a client unit and analyzing the behavior of the client.
2. The intelligent marketing system based on electronic business cards of claim 1, wherein the business card module working method comprises:
setting a standardization unit, wherein the standardization unit is used for setting a standard electronic business card by an enterprise administrator, adding staff information needing to set the standard electronic business card by the enterprise administrator to form an added staff list, and generating corresponding standard electronic business cards in batches according to the added staff list; the standard electronic business card comprises a standard part and a personal part, wherein the standard part is a fixed part and can only be adjusted by an enterprise administrator, and the personal part is adjusted by corresponding enterprise staff;
after the staff obtains the standard electronic business card, the personal part of the standard electronic business card is adjusted according to personal needs to obtain the staff electronic business card.
3. The intelligent marketing system based on electronic business cards according to claim 1, wherein the working method of the client unit comprises:
obtaining a customer index value, converting the customer index value into a product assignment, and marking the product assignment as PZi, wherein i represents a corresponding index, i =1, 2, … …, n, and n is a positive integer; setting weight coefficient of corresponding index, marking as alpha i, obtaining historical conversion data of corresponding client, and comparing obtained historyAnalyzing the converted data to obtain a client correction value marked as KX according to a product recommendation value formula
Calculating a recommended value of the product, wherein b1 and b2 are both proportional coefficients and have a value range of 0<b1≤1，0<b2 is less than or equal to 1, lambda is a correction factor and has a value range of 0<Lambda is less than or equal to 1; and marking the product with the product recommendation value larger than the threshold value X1 as a target product, analyzing the target product, acquiring similar recommended product information, and sending the similar recommended product information to corresponding service personnel.
4. The intelligent marketing system based on electronic business cards according to claim 3, wherein the method for obtaining the customer index value comprises:
the method comprises the steps of obtaining client track information, pushing the client track information to kafaka, cleaning data through pyspark, completing index extraction of unstructured data, converting the unstructured data into an index value used for operation and maintenance, carrying out quantitative statistics and analysis of message content on the index value obtained through Spark RDD operators, establishing a learning model, and filtering invalid information of the index value through the learning model to obtain a client index value.
5. The intelligent marketing system based on electronic business cards, according to claim 3, characterized in that the method for analyzing the target products comprises:
identifying the types of target products, screening similar products in the enterprise according to the types of the target products, calculating the matching degree of the similar products by taking the target products as a reference, calculating the adaptability between the similar products and corresponding customers, integrating the matching degree and the adaptability of a single similar product into a combined coordinate, and inputting the combined coordinate into a coordinate system;
obtaining a product recommendation value of a target product, matching a corresponding maximum merging radius according to the obtained product recommendation value, identifying a merging center in a coordinate system, obtaining a merging area according to the merging center and the merging radius, identifying a merging coordinate in the merging area, and marking the similar products corresponding to the merging coordinate as similar recommended products.
6. The intelligent marketing system based on electronic business cards, according to claim 3, wherein the method for calculating the matching degree of the similar products based on the target products comprises:
classifying products in an enterprise according to types, marking the products as classified products, setting characteristic extraction items corresponding to the products of the types, extracting characteristics of the classified products according to the set characteristic extraction items, converting the characteristic extraction items into characteristic vectors, and marking the characteristic vectors as TXj, wherein i represents the corresponding classified products, j =1, 2, … … and m are positive integers; establishing a product feature library according to the classified product information and the corresponding feature vectors;
matching the corresponding product feature library according to the target product information, matching the corresponding characteristic vector from the product feature library, marking as TM, and matching according to a matching formula
And calculating the matching degree between the target product and the classified product, wherein eta is an adjusting coefficient.
7. The intelligent marketing system based on electronic business cards, according to claim 1, characterized in that it further comprises an intelligent chat module, a marketing recommendation module and a driving module;
the intelligent chat module is used for consulting by the client and marking a corresponding label for the client according to the consulting record;
the marketing recommendation module is used for pushing industry hotspot information to the client;
the driving module is used for promoting staff to obtain guests by using the electronic business cards.
8. The intelligent marketing system based on electronic business cards of claim 7, wherein the intelligent chat module manually tags based on chat content with the customers.
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| CN117252995A (en) * | 2023-11-17 | 2023-12-19 | 深圳市加推科技有限公司 | Intelligent business card using method, intelligent sales system and storage medium |
| CN117252995B (en) * | 2023-11-17 | 2024-03-05 | 深圳市加推科技有限公司 | Intelligent business card using method, intelligent sales system and storage medium |
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