36results about How to "Improve marketing success" patented technology

The invention discloses an information management method and system for an intelligent store, and terminal equipment. The method comprises the steps: recognizing a target object entering the store, and building or obtaining the file information corresponding to the target object according to a recognition result; detecting the moving path of the target object in the store, carrying out the statistics of the information of commodities that the target object is interested in according to the moving path, and gathering the information of commodities that the target object is interested in to thecorresponding file information; analyzing the file information corresponding to the target object, and obtaining the preference feature information of the target object; and transmitting the preference feature information of the target object to a preset terminal. According to the invention, the method enables a worker of the store to carry out the targeted marketing campaign, thereby improving the marketing success rate, and improving the experience of a customer.

The invention relates to a method for realizing automatic external call, which comprises a data acquisition / statistics module, a CTI server, an APD module, a user database and an IVR server, and is characterized in that the method automatically calls certain number of users according to current prediction algorithm and busy / free conditions of CTI seat resource, external line resource and other related resources, the communicated users are switched to seat representatives for marketing service, thereby effectively improving service efficiency of the seat representatives, and further improving marketing success ratio.

The invention discloses a product recommendation method and device based on voice data, equipment and a storage medium. The method comprises the following steps of: obtaining a sample; obtaining a user identifier and a historical call record of a user, the historical call record of each user is converted into a text file for semantic analysis; obtaining user characteristics, analyzing the historical call record of each user by using a voice analysis model; establishment of time portrait, constructing a user portrait by using the user feature and the time portrait; the user identifier and the user portrait are correspondingly stored in a user information base; and according to the user identifier of the to-be-communicated user, obtaining a user portrait corresponding to the user identifierof the to-be-communicated user from a user information base, determining a target product according to the user feature of the user portrait, determining a communication time according to the time portrait of the user portrait, and outputting the target product and the communication time to the client. According to the embodiment of the invention, targeted services can be effectively provided forclients, and the popularization success rate of business products is improved.

The invention discloses a real-time automatic marketing method, and the method comprises the steps of collecting the user behavior information data; real-time processing the collected user behavior information data; real-time triggering the user, which conveying the product information to the behavior information matching with the marketing rule of the marketing operation. The invention also discloses a real-time automatic marketing system. The real-time automatic marketing method and system can form a single data processing channel for the real-time marketing operation dispense with manpower and automatically convey the marketing information to the user in the shortest possible time for obtaining the automatic marketing effect, high marketing success rate can be realized while having the best marketing opportunity.

The invention relates to the technical field of data processing, and discloses a prediction method and device for the secondary purchase intention of customers, used for improving the accuracy of a predicted result of the secondary purchase intention of the customers. The method comprises the following steps of: reading a target customer list from a specified storage position, acquiring historical benefits of respective customers according to customer identifiers stored in the obtained target customer list, determining the variation tendency of the historical benefits as well as the purchasing power parameters and customer maturity of the respective customers according to the historical benefits; calculating the user psychological comfort levels of the respective customers according to the acquired parameters; and generating a final marketing customer list according to customer identifiers of the customers whose user psychological comfort levels reach set conditions. Thus, the calculation workload can be reduced, the calculation speed can be improved, and therefore the operation pressure of a server can be effectively reduced. The invention also discloses an evaluation device.

The invention discloses a method and a system realizing bank hall marketing in an embodiment. The method comprises steps of collecting client's personal information and transacted business class information selected by a client through a client terminal device; sending the collected client's personal information and transacted business class information to personal central database sub system, analyzing whether the information matches with client's information primarily stored, displaying the analyzed matching result on a computer terminal, generating welcome message and related marketing message; according to a primarily stored phone number, sending the welcome message and related marketing message to the client and a related bank hall personnel to make the client know the latest business information in time and guide the related bank hall personnel to provide the client with pertinent services. The invention can display and update client's information in time, send corresponding welcome message and marketing message to clients, and improve marketing success rate and bank service quality.

The embodiment of the invention provides self-help bank information pushing method and device. The method comprises the following steps: counting up behavior information for taking actions on marketing content seen by a plurality of sample users so as to judge first attraction degrees of the marketing content to the sample users; taking sample concerning points and sample position movement paths corresponding to the plurality of sample users as samples to be input, and classifying the plurality of sample users by a first self-organized neural network to obtain a plurality of sample user sets; obtaining a target concerning point and a target position movement path of a target user according to an image recognition algorithm; and taking the target concerning point and the target position movement path as samples to be input, and obtaining a target marketing content set corresponding to the maximum value of a second attraction degree and selecting any one target marketing content from the target marketing content set to be pushed to the target user. The embodiment of the invention provides a method for accurately calculating the attraction degrees of the marketing content to customers, and the marketing success rate of the marketing content is improved.

The invention discloses an electronic device, a method of predicting preference tendency, and a computer readable storage medium. The method comprises: receiving user information of a target user andproduct information of a target product; according to the user information, crawling microblog speaking data of the target user in a latest preset time range, extracting keywords and performing vectorization processing, to form a first user portrait; acquiring personal attribute data of the target user, extracting the keywords and performing vectorization processing, to form a second user portrait; splicing the first user portrait and the second user portrait to obtain a third user portrait; performing vectorization processing on marketing characteristics of the target product, to form a product portrait; inputting the third user portrait, the product portrait and preset contact vector of each channel to a pre-trained model to predict, to obtain the highest score of preference tendency ofthe target user on the target product and a corresponding channel contact vector combination. The technical scheme improves marketing success rate of business personnel.

The invention provides a marketing data processing method and a marketing data processing device. The marketing data processing method comprises the steps of establishing a positive and negative sample set of a marketing training model according to marketing business basic data; establishing a marketing training model according to the positive and negative sample sets and a random forest algorithm; determining initial marketing data according to the marketing business data to be predicted and the marketing training model; updating the marketing training model by utilizing the initial marketingdata; and performing marketing data processing by using the updated marketing training model to generate marketing list data. According to the marketing data processing method provided by the invention, manual marking is changed into automatic marking, so that the marking workload of business personnel is effectively reduced. The marking accuracy is improved. The model updating strategy is changed from a single coverage updating strategy to an intelligent updating strategy. Therefore, the difficulty of setting the model parameters by the business is reduced, intelligent updating is realized,and the marketing success rate is improved.

The invention discloses an implicit attribute extraction method and device. The method comprises the steps of preprocessing an original corpus to obtain an effective corpus; performing sentence segmentation on the effective corpus to obtain a short sentence set; dividing the short sentence set into an explicit sentence set and an implicit sentence set according to commodity attributes, wherein theexplicit sentence set is composed of short sentences containing commodity explicit attribute clusters, and the implicit sentence set is composed of short sentences except for the short sentences containing the commodity explicit attribute clusters; constructing a mapping relationship between a commodity explicit attribute cluster and sentiment words according to the explicit sentence set; judgingwhether sentiment words exist in implicit sentences in the implicit sentence set or not, and if not, abandoning the implicit sentences; and if so, obtaining an implicit attribute corresponding to theimplicit sentence according to the mapping relationship between the commodity explicit attribute cluster and the sentiment word. According to the method, comment fine-grained sentiment analysis can be more comprehensive, so that a user purchase strategy is more accurate, and merchants can improve own commodities more accurately.

The invention discloses a user communication circle relation identification method based on a communication frequency and a communication index, belonging to the technical field of operator communication circle reputation and home package recommendation marketing. The method comprises a step of calculating a communication frequency and a communication index between every two users, a step of establishing a communication circle model corresponding to the users according to the communication frequency, the communication index and a contact time period, wherein the communication circle model comprises a work circle model, a life cycle model and a comprehensive circle model, a step of establishing a user social network model based on communication circle information corresponding to the users, and a step of constructing a home relation model based on the user life circle model. According to the method, problems of poor marketing pertinence, a low cost-benefit ratio and easily caused user complaints of an existing single-client group sending mode are effectively solved, according to the method, and the rate of marketing success is significantly improved through the identification and classification of user social network relations and home relations.

A method and apparatus for information pushing are provided in an embodiment of that present invention, according to the identity of the user, acquiring at least two mobile phone numbers correspondingto a user, determining at least one target mobile phone number according to consumption records and communication records of each mobile phone number, wherein the at least one target mobile phone number is a subset of the at least two mobile phone numbers, and pushing information to the at least one target mobile phone number. The method does not directly push the information to all the mobile phone numbers of the user, but selects one or more target mobile phone numbers according to the consumption record and communication record of each mobile phone number, and pushes the information to thetarget mobile phone number of the user. Compared with the prior art, the invention can reduce the marketing cost and improve the marketing success rate.

The invention provides an intelligent retail service method and system for accurately recommending related commodities. The method comprises the following steps: S101, acquiring voice data, limb movement data and face data when a customer browses the commodities; s102, feeding back commodity related information to the customer according to the voice data, the body movement data and the face data when the customer browses the commodity, searching the commodity of the category in a commodity database according to the commodity required by the customer, and moving along with the customer in real time; s103, performing voice recommendation on the commodities of the category according to the priority level, and displaying attribute information of the commodities through a display screen; s104, scanning the bar code of the commodity to complete self-service settlement, and adjusting warehouse-in and warehouse-out data of the commodity. The invention can judge the demands of the customer according to the voice data and the body movement data of the customer in combination with the face data so as to accurately recommend the related commodities, can help the customer with difficulty to select the commodities, improves the marketing success rate, saves the time of the customer, and is suitable for the retail field.

The embodiment of the invention provides a task execution method and device and electronic equipment, the method can be applied to a client screening scene, data in a pre-stored database is a client data set, screening operation can be performed on client information data, a target data set is a target client information set, and recommendation of at least one product to a client is regarded as a task. According to the invention, the client data set can be screened to obtain the target client information set, and at least one task is determined according to the attribute information of the target client information set, so that the product corresponding to the task is promoted to a precisely positioned target client group; furthermore, task data to be executed are determined from the target customer information set according to the execution result of the task execution, and the task data to be executed are the same type of customer information set conforming to the execution result, so that suitable products can be conveniently recommended to customers of the same type, accurate marketing is realized, and the marketing success rate is effectively improved while the marketing profit is increased.

The invention discloses an accurate marketing method, and belongs to the field of intelligent marketing, and the method comprises the following specific steps: (1), carrying out the selection and judgment of user operation, and collecting related user information; (2) capturing user behavior data and carrying out analysis and judgment; (3) screening marketing data and generating a corresponding pushing scheme; (4) collecting and judging user operation information in real time; related data can be screened for multiple times, bad information contained in the data can be deleted, a safe and healthy network environment can be maintained, the marketing success rate is improved, the workload of workers is reduced, the working enthusiasm of the workers is improved, the stored pushing scheme can be directly called for use, the operation memory of a server does not need to be occupied, the scheme making efficiency is improved, and resources are saved.

The invention relates to a marketing method and device based on an artificial intelligence decision tree, and the method comprises the steps: obtaining training sample data, enabling the training sample data to comprise a plurality of pieces of potential user sample data, and enabling each piece of potential user sample data to comprise potential user feature data which comprise current account balance data, annual average account balance data, account balance average growth rate data, account activeness data, enterprise operation age limit data, tax credit rating data, tax amount average growth rate data, and the customer category are one of important value customers, important retention customers, important development customers and low value customers; based on the training sample data,obtaining a decision tree customer category prediction model through training; obtaining target user feature data; obtaining a customer category to which the target user belongs according to the target user feature data; and displaying the customer category to which the target user belongs so as to facilitate a customer manager to make a corresponding offline marketing plan, or marketing a product corresponding to the customer category.

The invention relates to a marketing object recognition device. The marketing object recognition device comprises a primary bottom plate and a secondary bottom plate, wherein the secondary bottom plate is provided with a first inductor; a primary exhibition platform, a secondary exhibition platform and an interaction table are arranged on the primary bottom plate; the primary bottom plate is provided with a second inductor; the first inductor and the second inductor are co-connected to a first timer; the secondary exhibition platform is provided with an exhibition window; the exhibition windowis provided with a third inductor; the interaction table is provided with a labeling mechanism; the labeling mechanism comprises a stand column; a vertical gas cylinder is arranged on the stand column; the gas cylinder is controlled by the second inductor; the lower end of the gas cylinder is provided with a labeling base; a plurality of vertical slide slots are formed in the labeling base; labeling rods are slidably arranged in the slide slots; the bottoms of the labeling rods are provided with printing plates; the tops of the labeling rods are provided with cams driven by a labeling motor;and return springs are arranged between the labeling rods and slot walls of the slide slots. The marketing object recognition device is used for recognizing a marketing object to screen out an objectwith marking potential, and makes a proper marketing method for a special object, so that a marketing success rate is increased.

The invention discloses a method for establishing and analyzing electric power user portraits based on big data technology, which can obtain historical electricity consumption information, basic attributes, payment information and appeal information of electric power users; determine the collection of classification categories of user portraits, and the influence of classification results The factor set determines the mapping relationship between the influencing factor set and the classification set; the obtained data is randomly selected, and part of it is used as a training sample, and the data is used as a prediction sample; the training sample and the prediction sample are normalized, discretized, and Attribute reduction, determine the set of influencing factors after correction; train the training samples, and use ten-fold cross-validation as the test mode, establish a power user portrait prediction model based on the naive Bayesian classifier, use the prediction model to predict the samples Data classification, mining and analysis to obtain power user portraits. The invention facilitates the forecasting and management of electric power flows.

The invention discloses a marketing object matching method and system for sealed products. The method comprises the steps of: obtaining a product sales data set which is a sales data set of the sealed products at the first time; obtaining a preset screening condition; screening the product sales data set according to the preset screening condition to obtain first matched product information; extracting product parameter information according to the matched product information; obtaining production parameter information; obtaining matching parameter information according to the product parameter information and the production parameter information; obtaining second matching product information according to the matching parameter information; and obtaining first marketing object information according to the second matching product information and the product sales data set. The technical problems that marketing objects cannot be recognized and matched, the marketing cost is high, and the marketing success rate is low in the prior art are solved.

Embodiments of the present invention provide a method and device for information push. The method obtains at least two mobile phone numbers corresponding to the user according to the user's identification, and determines at least one target mobile phone number according to the consumption records and communication records of each mobile phone number. , the at least one target mobile phone number is a subset of the at least two mobile phone numbers, and information is pushed to the at least one target mobile phone number; this method does not directly push information to all mobile phone numbers of the user, but according to each According to the consumption records and communication records of the mobile phone numbers, one or more target mobile phone numbers are selected, and information is pushed to the target mobile phone numbers of the user. Compared with the prior art, the marketing cost can be reduced, and the marketing success can also be improved. Rate.

The invention discloses a user identification method and device, and relates to the technical field of big data. A specific embodiment of the method comprises the steps of obtaining user data from a data warehouse by calling a preset data interface; based on the user data, determining a belonging customer group according to a preset customer group classification component so as to match a recognition model corresponding to the belonging customer group; and calling an identification model engine, selecting a data acquisition time point to obtain historical data of the user, calculating according to the historical data to obtain a scoring result of the user, and pushing the user data of which the scoring result meets a preset matching condition to a third-party marketing platform. Therefore, the problems that existing house loan product recommendation is low in accuracy and poor in user experience, and manpower and material resources are consumed can be solved.

The present invention provides a customer service activity management system, method and related devices. The method includes obtaining the first user's authority from the customer service activity database, and generating the first user's exclusive preferential activity list according to the first user's authority and sending it to the first user. A user terminal; receiving an instruction to generate a reward code for a target preferential activity sent by the first user terminal, generating an exclusive reward code for the first user according to the instruction and sending it to the first user terminal; sending the The second user's award-winning record is stored in the marketing record of the first user in the Huike activity database; the second user's award-winning record is regularly obtained from the Huike activity database, and whether the second user receives the award is checked. Satisfy the conditions for claiming awards, and mark the claiming records that meet the conditions for winning awards as reaching the standard; control the authority of the first user according to the rate of reaching the standard of the winning records in the marketing records of the first user. The invention can automatically register while issuing electronic coupon codes to customers in real time.

The invention discloses a user identification method and device, and relates to the technical field of big data. A specific implementation of the method includes obtaining user data from the data warehouse by calling a preset data interface; based on the user data, determining the customer group according to the preset customer group classification component to match the corresponding customer group Recognition model; call the recognition model engine, select the data collection time point to obtain the historical data of the user, and then calculate the scoring result of the user according to the historical data, and push the user data whose scoring result meets the preset matching conditions To third-party marketing platforms. Therefore, the embodiments of the present invention can solve the problems of low accuracy in recommendation of existing housing loan products, poor user experience, and costing manpower and material resources.

The embodiment of the invention provides self-help bank information pushing method and device. The method comprises the following steps: counting up behavior information for taking actions on marketing content seen by a plurality of sample users so as to judge first attraction degrees of the marketing content to the sample users; taking sample concerning points and sample position movement paths corresponding to the plurality of sample users as samples to be input, and classifying the plurality of sample users by a first self-organized neural network to obtain a plurality of sample user sets; obtaining a target concerning point and a target position movement path of a target user according to an image recognition algorithm; and taking the target concerning point and the target position movement path as samples to be input, and obtaining a target marketing content set corresponding to the maximum value of a second attraction degree and selecting any one target marketing content from the target marketing content set to be pushed to the target user. The embodiment of the invention provides a method for accurately calculating the attraction degrees of the marketing content to customers, and the marketing success rate of the marketing content is improved.

The embodiment of the invention discloses an information pushing method and device based on deep learning, electronic equipment and a medium. The method comprises the steps: acquiring the insurance related information of a first user who is out of insurance within a specified time and does not purchase an insurance product after the insurance is out of insurance; acquiring the insurance feature information corresponding to an insurance index according to the insurance related information; importing the insurance feature information into a trained target network model to obtain a target insurance grade of the first user; if the target insurance grade is greater than a preset insurance grade, determining target insurance product information of which the number of effective browsing times exceeds a preset number of times of the first user according to the insurance-related information; acquiring user information of the first user; and finally, sending the user information and the target insurance product information to user equipment of the target user. According to the method, the potential insured customers with higher insured levels are screened out from the insured customers, and the potential insured customers effectively browse more insurance product information to push to the product customer manager, so that the insurance marketing success rate and efficiency are improved.

The invention relates to a method for realizing automatic external call, which comprises a data acquisition / statistics module, a CTI server, an APD module, a user database and an IVR server, and is characterized in that the method automatically calls certain number of users according to current prediction algorithm and busy / free conditions of CTI seat resource, external line resource and other related resources, the communicated users are switched to seat representatives for marketing service, thereby effectively improving service efficiency of the seat representatives, and further improving marketing success ratio.

The invention discloses a data processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-tested data matrix corresponding to a to-be-tested user, wherein the to-be-tested data matrix comprises data which may affect whether the to-be-tested user agrees with a marketing activity or not; respectively inputting the to-be-tested datamatrix into a first sparse matrix model and a second sparse matrix model to respectively obtain a first prediction result and a second prediction result; and obtaining a final result based on the first weight value corresponding to the first sparse matrix model, the second weight value corresponding to the second sparse matrix model, the first prediction result and the second prediction result. The obtained final result is obtained by combining the two prediction results and the weight values thereof, so that the method is more accurate than a method of directly taking the prediction result output by the model as the final result. The staff in the financial industry can determine whether to perform marketing on the to-be-tested user based on the final result, so that the staff in the financial industry no longer perform blind marketing, and the marketing success rate is improved.

The invention discloses a marketing strategy updating method and device and a computer readable storage medium. The method comprises the steps of obtaining marketing failure dialogue data and marketing success dialogue data; performing intention recognition processing on the marketing failure dialogue data and the marketing success dialogue data by adopting an intention recognition model to obtain a first dialogue semantic tag graph and a second dialogue semantic tag graph; associating the marketing failure dialogue data with the marketing success dialogue data based on the first dialogue semantic tag graph and the second dialogue semantic tag graph; analyzing and processing the marketing success dialogue data associated with the marketing failure dialogue data to generate a marketing success strategy; and adding the marketing success strategy into the marketing strategy of the marketing failure dialogue data to update the marketing strategy of the marketing failure dialogue data. In this way, the success rate of marketing can be improved.

The invention is suitable for the technical field of marketing systems, and particularly relates to an automatic channel marketing system, and the system comprises a basic data obtaining module which is used for obtaining user information data and marketing data, and constructing a marketing business opportunity database; the business opportunity analysis module is used for analyzing the user information data and generating auxiliary marketing business opportunity information; the service data acquisition module is used for acquiring user service data and judging whether a business opportunity work order is created or not; and the work order processing module is used for creating a new business opportunity work order and finishing business opportunity work order processing. According to the invention, the user information is collected to construct the online database, all the related information of the user is stored in the database, and the user demand is analyzed according to the related information of the user to generate the accurate marketing scheme and provide the accurate marketing scheme for the seller, so that the seller can accurately capture the user demand, and the marketing efficiency is improved. And more timely and accurate services are provided, the marketing success rate is improved, and the user experience is also improved.

The invention relates to a two-dimensional code distribution method and system, an electronic device and a storage medium, and the method comprises the steps: creating a live code, generating a corresponding ID record in a database, and enabling the information in the live code to comprise the information of a plurality of different persons; acquiring a url address of the open interface of the server, and fitting the url address with the ID record to generate an external two-dimensional code; and obtaining an adding request of the user according to the external two-dimensional code, querying according to an ID record in the request to obtain a corresponding live code, obtaining a personal live code of a person needing to be added currently in the live code according to a user-defined polling rule, and returning the personal live code to the user side. Through application of the method and the device, the problem in the related technology that the enterprise micro account is unavailable and the customer is lost when a certain live code receives a plurality of adding requests under an extreme condition due to the fact that the multi-user live codes cannot be equally distributed is solved, and the marketing success rate of the enterprise and the user experience feeling are favorably improved.