30 results about "Marketing efficiency" patented technology

The invention relates to the technical field of big data analysis, and particularly discloses a marketing management system based on big data analysis. The system comprises a data fusion center, a real-time portrait engine, a multi-contact attribution analysis module, a strategy optimizer and an execution gateway, and multi-source user data are integrated, a user interest model is dynamically updated, contact contribution weights are quantized, and marketing strategies are intelligently generated. Universe user view construction, real-time interest tracking, accurate attribution analysis and automatic marketing decision making are realized, and finally the marketing efficiency and the input-output ratio are improved.

The application discloses a data processing method, device and equipment and a computer readable storage medium. The method comprises the following steps: querying a triple corresponding to entity information of current communication content; performing time segmentation on the current communication content based on the triple, and obtaining each conversation window; determining a basic emotion value corresponding to each conversation window based on user image data corresponding to each conversation window, and determining a first image emotion value corresponding to each conversation window based on the basic emotion value; determining a first voice emotion value based on user voice data corresponding to each conversation window and the basic emotion value; and determining a customer preference degree corresponding to each conversation window based on the first image emotion value and the first voice emotion value. The application enriches the data dimension by collecting more sufficient data in a specific scene, improves the success rate of online marketing activities, and improves the timeliness of data application and marketing efficiency in online business marketing.

The application discloses a kind of based on digital twin's cell customer marketing interaction method and system, method includes: constructing cell level, building level, room level digital twin three-dimensional model, support hierarchical down drilling;Establish the associated mapping of business data and model;Realize business data hierarchical visualization and interactive response, based on data identification target customer, generate flexible dispatching and track execution.The application realizes the deep integration of business and space, improves marketing efficiency and accuracy, and helps enterprise decision-making scientific and business transformation.

The invention relates to the technical field of digital marketing, and discloses an omnibearing intelligent advertisement management system, which comprises an advertisement data acquisition module, an intelligent evaluation and analysis module, a strategy optimization engine module, a cross-channel execution module, a closed-loop feedback module and a safety audit module, a logic deviation between advertisement content characteristics and user behavior data is recognized in real time through a multi-source cooperation mechanism, and cooperation conflicts are eliminated through a dynamic compensation algorithm; the environment sensing unit continuously tracks equipment state and network condition change, and triggers self-adaptive decision path reconstruction to prevent release deviation; the spectral analysis engine deconstructs and evaluates the composite advertisement materials in a layered mode, and element-level precise optimization is achieved; the emergency response mechanism verifies the strategy feasibility through sandbox rehearsal, and quickly deals with environment mutation and public opinion risks. The core problems of multi-source data fusion failure, strategy environment adaptation misalignment, composite material evaluation deviation, crisis response lag and the like are solved, and the advertisement putting accuracy and the marketing efficiency are improved.

The invention provides a cross-platform marketing data integration and analysis system based on a large model, and relates to the technical field of market analysis management, and the system comprises the following function modules: a data collection module which collects the multi-dimensional indexes of a product of each platform; the benefit analysis module is used for constructing a cross-platform marketing digital model and outputting a marketing benefit index; the credibility verification module is used for carrying out correlation test and finally obtaining a marketing benefit credibility result; and the investment scheme regulation and control module is used for adjusting a subsequent investment scheme according to the marketing benefit index, the marketing benefit credibility result and competitive product marketing data. According to the method, the marketing benefit index is continuously optimized and normalized through an online learning mechanism; meanwhile, a credibility verification mechanism and an intelligent investment scheme module are introduced based on sales fluctuation correlation test, and by means of automatic elimination of a last scheme, migration of budget and dynamic regulation and control of a scheme period according to competitive product change, the real-time performance and credibility of analysis and the scheme intelligent level are remarkably improved.

The invention belongs to the technical field of online and offline fusion, and particularly discloses an online and offline fusion culture activity marketing management method and system, and the method comprises the steps: carrying out the real-time collection and time synchronization of online user interaction behavior data and offline participant behavior data; constructing a dynamic potential energy field model based on the data, setting online interaction nodes and offline region nodes as model nodes, and calculating node potential energy values by synthesizing behavior intensity, geographical popularity, time attenuation factors and corresponding weights; inputting the model into a pre-trained diffusion type graph neural network, constructing an activity relation graph, simulating heat diffusion, and predicting a node potential energy change trend; and finally, calculating online and offline potential energy gradients, and automatically generating an execution resource scheduling instruction or a content pushing strategy when the online and offline potential energy gradients exceed a preset threshold value, thereby realizing adaptive adjustment of online and offline marketing contents and entity resources, solving the problem of heat dislocation, and improving marketing efficiency and user experience.

The invention belongs to the field of customer relationship management based on big data, and particularly relates to a customer relationship management system based on big data, which comprises a multi-source sensing and acquisition module; a scene modeling module; a scene prediction and decision module; a strategy execution and closed loop optimization module; according to the method, a closed loop of acquisition-modeling-prediction decision-execution-attribution retraining is constructed, multi-source data is opened to form global customer portraits and scene representation, and a strategy list of human, time and place is generated according to individual probability evaluation and risk score and is executed in real time, so that personalized marketing is realized, resource waste is reduced, and the marketing efficiency is improved. And furthermore, customer loyalty is remarkably improved, a wastage rate is reduced, supply and demand matching is improved, inventory turnover is accelerated, promotion homogenization is avoided, and stable increase of revenue is promoted.

The application provides a multi-channel cooperative target customer cultivation system and method, and relates to the technical field of computers. User data from multiple channels is received to identify the identity of a user and generate a unique marketing user identifier for the user. When a cultivation task is performed on the user, all channels associated with the marketing user identifier of the user are obtained, the highest priority single channel is selected according to a preset channel priority strategy, and the marketing content of this time is sent to the user only through the single channel. A cultivation workflow containing conditional branch nodes is constructed, the cultivation workflow is driven by user behavior events, and subsequent predefined branch actions are triggered based on user behavior events and conditional branch nodes. The application solves the problem of marketing resource waste and user experience fragmentation caused by data silos, realizes the transformation of marketing processes from extensive broadcasting to precise personalized reach, and improves marketing efficiency, customer experience and business conversion rate.

The invention relates to the technical field of commodity sales optimization, and discloses an intelligent commodity recommendation and display system, which comprises an identification module, and is characterized in that the identification module records shoppers and articles through a first camera and a second camera, and generates shopper data and article data; and the analysis module calculates the purchase demand and purchase tendency of the shopper according to the data of the shopper so as to output an adjustment instruction. High-intention commodities are actively pushed to the front of customers, searching and hesitation time is shortened, the shopping experience of the customers is optimized, the commodities are automatically close to and directly face the sight line, light guide is assisted, taking is more convenient and visual, especially convenience is brought to old people, children or customers carrying objects, the satisfaction degree is improved, intervention is based on real behaviors instead of guessing, and the method is suitable for large-scale popularization and application. And invalid sales promotion is avoided, resources are concentrated for customers with real demands, the marketing efficiency is improved, tasks such as commodity display optimization, sales promotion display adjustment and the like are automatically completed, and the workload of frequently and manually arranging goods shelves by shop assistants is reduced.

The invention provides a method and a device for determining a product popularization scheme. The method comprises the following steps: acquiring basic data of a building material target customer; performing data cleaning on the basic data to obtain cleaned data; performing customer group division according to the cleaning data and a preset grouping model to obtain grouped customer data; matching is carried out according to the grouped customers and a preset product popularization scheme, and a first product popularization scheme is obtained; and dynamically adjusting the first product promotion scheme according to the obtained customer change data to obtain a target product promotion scheme. According to the invention, the product promotion scheme can be adjusted in real time according to the change condition of the customer demand, and the marketing efficiency and the product transaction rate can be improved.

The embodiment of the invention provides a marketing verbal skill generation method and device and electronic equipment, and relates to the technical field of financial science and technology. The marketing verbal skill generation method comprises the following steps: acquiring a customer intention label and a marketing stage label in a historical outbound marketing scene; using the fine-tuned large model to generate a marketing verbal skill according to the client intention label and the marketing stage label; and storing the generated marketing verbal skill in a marketing verbal skill library. According to the method, the outbound marketing efficiency can be improved.

The invention discloses a catering brand management and marketing promotion method and system, and relates to the technical field of catering marketing. The method comprises the steps of determining a total marketing budget and a promotion period of each product according to types, life cycle stages and market parameters of products in a store basic product library; screening to-be-popularized products according to the current moment and calculating residual popularization time; judging whether the exclusive marketing team can finish promotion on time or not, and if not, calling standby idle marketing power; marketing groups are divided according to the number of teams, functions and constraint conditions with the purpose of minimizing transition time are constructed in combination with product relevance, and an execution scheme is configured; and finally, the effect achievement rate is calculated by collecting marketing data, and the next budget is adjusted in a closed-loop mode. According to the invention, marketing resource dynamic allocation and execution scheme optimization are realized, time and labor costs are reduced, and catering marketing efficiency and effect are improved.

The application discloses a novel digital marketing collaboration method and system suitable for small and medium-sized banks, relates to the field of marketing collaboration, and comprises the following steps: acquiring user attributes of target users; constructing user portraits of the target users according to the user attributes; analyzing demand information through a preset CNN-BiLSTM model to determine demand intentions of the target users; verifying matching degrees of the demand intentions according to the user portraits; converting the demand intentions into marketing task indexes; acquiring all department resource information; determining evaluation indexes of all departments according to the department resource information and the marketing task indexes in combination with a game theory weighting and a multi-criteria compromise solution sorting; comparing the evaluation indexes with a preset evaluation threshold; and if the evaluation indexes are smaller than the preset evaluation threshold, using a preset screening model to determine a marketing task allocation department. The application can effectively improve the marketing efficiency of small and medium-sized banks.

The invention discloses a debit card marketing method, a debit card marketing device, debit card marketing equipment and a computer program product. The debit card marketing method comprises the following steps: acquiring multi-dimensional information of a single-side credit card customer; according to the multi-dimensional information and the multi-dimensional portrait condition of the high-potential customer group, identifying the high-potential customer group in the unilateral credit card customers; and for the high-potential customer group, a preset debit card marketing strategy is utilized to carry out marketing reaching so as to drive a single-side credit card customer to be converted into a double-card customer, and the preset debit card marketing strategy comprises a product reaching strategy and a channel reaching strategy. According to the method, the multi-dimensional information of the unilateral credit card customers is acquired, the high-potential customer groups are accurately identified, and the preset debit card marketing strategy is used for targeted marketing, so that the effect of marketing activities is improved, the individual requirements of different customer groups are better met, the conversion rate of the unilateral credit card customers is improved, and the marketing efficiency is improved. And therefore, the comprehensive use degree and loyalty of the customer on bank products can be improved.

The application discloses a kind of service processing method, storage medium and system.Therein, the method includes: based on service scene demand selects multiple target components to be used, wherein multiple target components are used to build journey type business process on the business canvas corresponding to service scene demand;Multiple target components are horizontally laid out in the horizontal direction of business canvas, and target business process is generated;Using target business process, the business file corresponding to service scene demand is processed in stream, and service processing result is obtained, wherein business file is used to record the business behavior to be executed.The application solves the technical problems that the marketing efficiency is low, the flexibility is poor and the user experience is poor due to the use of existing automated marketing tools for business processing.

The invention discloses a method for supporting real-time development of marketing activities, and the method comprises the steps: enabling branches to autonomously maintain activity numbers, standard judgment types and white list data through a branch intelligent management platform which comprises a data storage module, a parameter checking module, a judgment execution module and an interface calling module; when a customer participates in an activity, a head office platform forwards a standard judgment transaction to a branch system, after the branch system checks parameters, judgment is executed in three types including white list judgment, real-time judgment and white list and real-time judgment, whether the customer is in a white list or not is judged and verified in the white list, and the state of the customer is verified by calling an external interface in real time. According to the method, the problems of slow response and incapability of real-time judgment of the head office are solved, the activity period is shortened, and the marketing efficiency is improved.

The invention relates to the technical field of data analysis, in particular to a data analysis method and system based on artificial intelligence, comprising: acquiring behavior interaction data and historical marketing activity data of a target customer group, determining association attributes of different behavior types of the customer group and promoted products based on the behavior interaction data, according to the association attributes, determining behavior association indexes of the customer groups and the promoted products and similar customer groups; and dividing the similar customer groups into different index intervals based on the behavior association indexes of the similar customer groups. According to the invention, through deep analysis of the behavior interaction data and the historical marketing activity data of the customer groups, association relationships between different behavior types and the promoted products can be effectively identified, so that the customer groups are accurately divided, similar customer groups highly matched with the promoted products are found, the marketing activities can be performed in a more targeted manner, and the marketing efficiency is improved. And resource waste caused by blind marketing is avoided.

The invention discloses an automatic marketing method, device and equipment and a storage medium, relates to the technical field of marketing, and discloses automatic marketing, comprising the following steps: collecting a use behavior of a consumer using a mobile device; judging whether a network environment where the mobile equipment is located is a network-free environment or not; if it is determined that the network environment is a network-free environment, matching a target marketing strategy corresponding to the use behavior from a super SIM card, the super SIM card being installed in the mobile device; and triggering the target marketing strategy at the mobile device. That is, the target marketing strategy corresponding to the use behavior is matched from the super SIM card, so that the target marketing strategy is prevented from being acquired from the cloud, the corresponding target marketing strategy can still be matched according to the use behavior when the mobile device is in a network-free environment, the target marketing strategy is further timely matched according to the use behavior, and the user experience is improved. And the marketing efficiency is improved.

The invention provides a multi-channel collaborative target customer cultivation system and method, and relates to the technical field of computers. The method comprises the following steps: receiving user data from multiple channels, identifying a user identity, and generating a unique marketing user identifier of the user; when a cultivation task is executed on the user, all channels associated with the marketing user identifier of the user are obtained, a single channel with the highest priority is selected according to a preset channel priority strategy, and the marketing content of this time is sent to the user only through the single channel; an incubation workflow containing conditional branch nodes is constructed, the incubation workflow is driven by the user behavior events, and subsequent predefined branch actions are triggered based on the user behavior events and the conditional branch nodes. According to the method and the system, the problems of marketing resource waste and user experience separation caused by data islands are solved, the transformation of the marketing process from extensive broadcasting to accurate personalized reaching is realized, and the marketing efficiency, the customer experience and the commercial conversion rate are improved.

The invention relates to the technical field of data processing and data analysis, and discloses a marketing activity data analysis system which comprises a data module, a marketing effect module, a marketing discount module, a marketing target module, a marketing plan module, a marketing standard module and a marketing evaluation module. The marketing effect module provides multi-dimensional marketing effect analysis accurate to customer groups and issuing conditions, the marketing discount module realizes accurate discount calculation in a multi-activity superposition scene, and the marketing target module and the marketing plan module analyze target achievement and plan execution of marketing activities respectively. The marketing standard module provides a unified judgment standard, the marketing evaluation module performs comprehensive evaluation, the requirements of enterprises for marketing activity analysis can be comprehensively met, and the marketing efficiency and the marketing accuracy are remarkably improved.

The invention discloses a training method of a distribution model, and a distribution method and device, and relates to the technical field of computers. A specific embodiment of the training method of the distribution model comprises the following steps: determining a customer service quality category of a customer service and a customer quality category of a customer; determining an association relationship between the customer service and the customer according to the customer service quality category and the customer quality category; constructing a training sample set based on the customer service quality category, the customer quality category and the association relationship, training by using the training sample set to obtain a distribution model, and distributing the customer to the customer service based on the distribution model; customer service staff and customers of different quality levels can be analyzed and distributed. A specific embodiment of the distribution method comprises the steps of determining a target customer service corresponding to each to-be-distributed customer in a to-be-distributed customer list by using a distribution model based on the obtained to-be-distributed customer list; and each to-be-allocated customer is allocated to the corresponding target customer service, so that the marketing efficiency and the marketing effect are improved.

The invention provides an advertisement information pushing method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a multi-dimensional object feature of a target object; inputting the multi-dimensional object features into the trained coding network to obtain a target coding vector output by the trained coding network; inputting the target coding vector and the first price reduction variable into the trained prediction network to obtain a first target probability output by the trained prediction network; inputting the target coding vector and the second price reduction variable into the trained prediction network to obtain a second target probability output by the trained prediction network; and based on the first target probability and the second target probability, determining whether to push the target price reduction advertisement information to the target object. According to the method, price reduction sensitive users can be intelligently screened to perform price reduction advertisement pushing on the users, and the price reduction marketing efficiency is improved.

The invention provides a job domain marketing support system based on a legal customer, and the system comprises five core modules: a project establishment module, a customer operation module, an order issuing module, a profit sharing module, and a data analysis module, and all the modules construct a cooperative closed loop through clear data interaction: the project establishment module completes project establishment and team configuration of the legal customer; the project approval information, the team data and the benefit distribution rule are synchronized to the customer operation module and the order issuing module, so that basic support is provided for subsequent links; the policy issuing module pushes the generated insurance policy and insurance premium information to the profit sharing module in real time, so that precision and timeliness of profit sharing calculation are guaranteed; the project establishment module, the customer operation module, the order issuing module and the profit sharing module all upload operation data to the data analysis module, the data analysis module carries out multi-dimensional statistical analysis and then feeds back strategy optimization suggestions, and iteration of all the modules is fed back. Through module cooperation and data connection, standardization, automation and data driving of the whole process of legal person customer job domain marketing can be achieved, the marketing efficiency and customer satisfaction are effectively improved, and core support is provided for an insurance company in legal person customer market competition.

The application discloses a marketing model data processing method and system and a computer readable storage medium, and the method comprises the following steps: acquiring marketing information; performing data mining on a marketing object according to the marketing information to obtain multi-dimensional category data reflecting the marketing object; predicting the marketing multi-dimensional category data based on a preset marketing model to obtain a model prediction result under a marketing scenario; and explaining the model prediction result based on a pre-constructed model result explanation system to obtain and display a marketing outstanding category under different dimensions. The technical gap between the relatively complex mathematical principles behind the model and the business personnel who are not familiar with the model can be filled by the application, and the business personnel can accurately find a marketing breakthrough point and determine a marketing method in a specific use scenario through the model prediction result, their own experience and the model result explanation system in multiple dimensions, so that the marketing efficiency, the marketing accuracy and the marketing lower limit are improved.

The invention provides a marketing work order intelligent scheduling method and system based on network state awareness, electronic equipment, a storage medium and a program product, and aims to solve the problems that the mapping relation between package types and regional network features is not clear and marketing is extensive. The method comprises the steps of obtaining network operation parameters of a target region in real time, generating feature information representing the network coverage state of the target region; analyzing a change trend of the feature information, dynamically determining a communication service package combination suitable for the target region based on the change trend, and generating corresponding marketing strategy information; according to the marketing strategy information and pre-stored marketing resource information, the marketing task is distributed to at least one marketing execution entity through optimization calculation; the execution state of the marketing task is tracked in real time, and if it is detected that the change of the network operation parameters exceeds a preset threshold value, the step of generating the feature information is restarted. According to the invention, double improvement of marketing efficiency and customer experience is realized.

The invention provides a telecommunication marketing strategy generation method and device and a storage medium, relates to the field of telecommunication marketing, and can solve the problem of low marketing efficiency. The method comprises the following steps: performing intention recognition based on voice information of a user in a telecommunication customer service hotline to obtain intention probability distribution; feature extraction is carried out on the user data to obtain a user portrait, and the user portrait is used for representing objective attributes of a telecommunication service currently used by a user and subjective feelings of the user; based on the intention probability distribution and the user portrait, a user score is determined, and the user score is used for representing the intention degree of bandwidth service installation of the user; and under the condition that the user score is greater than the user score threshold, determining a marketing strategy of the broadband service corresponding to the user score, and pushing the marketing strategy to the terminal of the user. According to the method, different requirements of different users can be accurately matched, different marketing strategies are pushed to different users, the marketing efficiency is improved, and the user experience is improved.

This invention relates to the field of virtual product management and distribution, specifically a method and system for managing digital coupons. The system includes: a product popularity prediction module; a user-product joint intention assessment module for calculating incremental purchase probability and identifying price comparison hesitation states; an intelligent digital coupon strategy generation module for calculating personalized discount amounts based on the lowest price of products in the same leaf category browsed by the user; a digital coupon end-to-end control module for strong binding of identity information and coupons; and a digital coupon distribution module for distributing coupons based on willingness level and incremental purchase probability. The method executes the corresponding process. This invention solves problems such as blind coupon distribution, rough layering, and scalping by using multi-dimensional joint intention assessment, dynamic psychological price discounts, and end-to-end security control, achieving accurate distribution and secure circulation of digital coupons, significantly improving marketing efficiency and revenue.

The invention provides an intent-driven marketing activity automatic generation method and system, and the method comprises the steps: obtaining intra-bank business data and a tag library, carrying out the processing of customer data through a big data portrait and a tag algorithm model, and generating and outputting enhanced customer group data and a customer 360 portrait; based on the generated customer group data and customer 360 portraits, classifying and layering customers, establishing and managing a high-quality marketing material library through a management background, tracking and analyzing use data of materials, and outputting user demands and behavior analysis results; issuing an online marketing task to the mobile terminal of the employee, automatically tracking and collecting task completion data, and generating a precision marketing strategy for different clients; meanwhile, using data of the materials are tracked and analyzed, user requirements and behavior analysis results are output, marketing strategies are changed according to behaviors of clients, market changes can be quickly responded, and marketing efficiency is improved.

[Problem] There is a need to overcome the social issue of "lives that could be saved are not being saved" by achieving efficient marketing activities by pharmaceutical and other companies and by precisely reducing waste in sales promotional activities, thus making it possible to lower marketing costs and optimize pharmaceutical costs. [Solution] Provided are a medical sales support information processing device, program, and method, said device including: an acquisition unit that acquires data containing attributes about individual physicians and outcomes of sales promotional activities; a storage unit storing a program and the data; a calculation unit that, in order to reflect differences in prescribing activities or the diversity of activities by multiple physicians in a facility, calculates a sales proportion score by calculating a score in which a correlation coefficient for each of only sales promotional activities for which the p-value is below a prescribed threshold and at a significant level in relation to sales for each facility, a relative impact, and a weight on activity level for each physician are multiplied together, constructs a multivariate logistic regression model, fixes an explanatory variable related to the attributes of physicians therein, assumes that at least one of an explanatory variable related to sales promotional activities or explanatory variable related to a sales representative is an adjustable variable of the model, calculates an optimal combination of adjustable variables necessary to achieve a preset target prescription probability, and calculates, for each physician, a minimum level of sales promotional activity or a target level of the explanatory variable related to a sales representative necessary to achieve the target prescription probability; and an output unit.

The invention discloses a customer marketing method, device and equipment for bank consumption loan, and a computer program product. The method comprises the following steps: acquiring multi-dimensional data of a bank customer; generating a global customer graph of the bank by using a graph generation model according to the multi-dimensional data; generating candidate customer groups by using a graph propagation algorithm according to the global customer graph and the label input condition of the business; and scoring the candidate customer groups by using a pre-trained graph classification model to obtain a scoring result of the candidate customer groups, and determining a final marketing customer group according to the scoring result. According to the method, the global customer graph is constructed, and the candidate customer groups are generated by using the graph propagation algorithm in combination with the business label input condition, so that the accuracy of generation of the candidate customer groups is improved. According to the method, the candidate customer groups are scored by means of the pre-trained graph classification model, and the users with high similarity with the marketing bank customers meeting the business requirements are accurately screened out as the final marketing customer groups, so that the bank can more accurately position the target bank customers, the marketing efficiency is improved, and the marketing cost is reduced.