43 results about "Market segmentation" patented technology

The present invention provides methods and systems for defining commercial transaction components; defining rules for mapping customer transactions into individual components; market segmentation in light of these individual definitions and bundling individual components of an offer into optimized packages for presentation and sale. A data processing system in accordance with one embodiment of the present invention, examines the commercial behavior of enrolled customers, breaks each of the constituent transactions into purchases of atom-level components; catalogues those components; extracts demographic information from said transactions and other sources; facilitates demographic studies of groups of such customers; optimizes offerings to such groups; and facilitates the consummation of those offers of sale. The processing system may also facilitate customers fiscal management through the communication of data necessary to practice the instant invention.

The present invention provides a system for implementing a loyalty program on a network-wide level. The system associates UPC and SKU data on a network level to reward consumers and / or to analyze the data for a variety of business purposes, such as market segmentation analyses and / or analyses relating to consumer spending behaviors or patterns for example. In accordance with one aspect of the invention, the association of UPC and SKU data by the system facilitates implementation of an incentive or loyalty program by providing a universal rewards currency. This universal rewards currency may be “spent” by participants who have earned rewards and accepted by the other participants in the multi-tiered network created by the system. The network may comprise any number of participants, including consumers, retailers (and any of their employees), manufacturers, third-party providers, and the like. In accordance with another aspect of the invention, the association of UPC and SKU data by the system facilitates data analysis on a network level based upon several factors, including a consumer ID, consumer profile, retailer ID, SKU number, UPC, manufacturer ID, and / or the like. The system may compile any of the above data across multiple entities for the purpose of data analysis, such as analyses which may be employed in strategic planning and marketing for example.

Methods of obtaining server usage information and organization information related to the market / organizational context in which the server is operated. Server information is collected from servers and is sent over a network. Server usage information may be obtained by receiving server information over a network and processing the server information. Server usage information may be segmented based on market segments of the organizations that operate the servers. Reports may be generated and provided to the customer. Server usage information may be used to improve server-related products and services.

A business planning solution for sales force effectiveness in promoting products in a target market is provided. The planning solution analyzes sales and market data to identify target market segments that are likely to respond to sales force activity. Business resources can then be allocated to optimize sales force activity. Detailed sales call plans can be generated. The business planning solution may be implemented as a computer software application on conventional stand alone or networked computer arrangements. For pharmaceutical industry applications, the software application is configured to process pharmaceutical market research data.

Systems and methods for indexing and searching companies for use in a stock trading application are provided. Indexing may assign a scoring system based on the several pre-determined factors as well as the data source from which the data has been received. Additionally, the indexing methodology supports the creation of minimarkets of stocks based on a term-based or user interest-based groupings of companies.

The present invention provides a system for implementing a loyalty program on a network-wide level. The system associates UPC and SKU data on a network level to reward consumers and / or to analyze the data for a variety of business purposes, such as market segmentation analyses and / or analyses relating to consumer spending behaviors or patterns for example. In accordance with one aspect of the invention, the association of UPC and SKU data by the system facilitates implementation of an incentive or loyalty program by providing a universal rewards currency. This universal rewards currency may be “spent” by participants who have earned rewards and accepted by the other participants in the multi-tiered network created by the system. The network may comprise any number of participants, including consumers, retailers (and any of their employees), manufacturers, third-party providers, and the like. In accordance with another aspect of the invention, the association of UPC and SKU data by the system facilitates data analysis on a network level based upon several factors, including a consumer ID, consumer profile, retailer ID, SKU number, UPC, manufacturer ID, and / or the like. The system may compile any of the above data across multiple entities for the purpose of data analysis, such as analyses which may be employed in strategic planning and marketing for example.

The claimed subject matter can provide a mechanism that facilitates market segmentation among search engines. A segmentation mechanism is provided that displays a plurality of search engines that can be employed in connection with a plurality of search types. Thus, an Internet search query can be analyzed, e.g., by keywords to determine a type of search being performed, and subsequently directed to the search engine selected for that type rather than all search queries going to a single search engine. The routing of a query can be based upon a user's choices, which takes advantage of the fact that some search engines perform better than others based upon the type of search. The segmentation mechanism can be built into, e.g., an operating system, a browser and the like, and can be easily configured.

A method and system are disclosed for monitoring user interactions and generating proactive responses thereto within a social media environment. Social media interactions are monitored, collected, and processed to generate social network advocacy analyses, which are in turn processed to generate predictive models. In turn, the predictive models are referenced to perform targeting market segmentation operations and to generate proactive marketing response recommendations.

The claimed subject matter can provide a mechanism that facilitates market segmentation among search engines. A segmentation mechanism is provided that displays a plurality of search engines that can be employed in connection with a plurality of search types. Thus, an Internet search query can be analyzed, e.g., by keywords to determine a type of search being performed, and subsequently directed to the search engine selected for that type rather than all search queries going to a single search engine. The routing of a query can be based upon a user's choices, which takes advantage of the fact that some search engines perform better than others based upon the type of search. The segmentation mechanism can be built into, e.g., an operating system, a browser and the like, and can be easily configured.

The invention relates to the technical field of internet information processing, in particular to a massive data processing method. By setting filtering conditions of fields and the like, key information units in each document of original data are extracted and corresponding data records are formed; the data records are stored in a database; and based on this, an associative relationship among the information units is obtained by extension according to the same information units contained in different data records. According to the method, associated information paths hidden in massive target information can be analyzed as needed in massive internet information; a very reliable and convenient way is provided for deep mining and application of data information; and effective technical support is provided for target background analysis, market promotion, market segmentation, risk prediction and prevention control, and the like.

The invention discloses an E-commerce platform customer behavior analytical method based on big data. The analytical method includes the following steps that first, the information of trading information pages of well-known E-commerce websites on the Internet is analyzed; second, a key url is acquired, a collecting rule is set by analyzing the web pages and data are captured; third, data verification is conducted on the captured data; fourth, the collected data are stored in a classified mode according to categories; fifth, clustering analysis is conducted on the information under the same category to obtain the preference to prices by customers and the purchase frequency information; sixth, corresponding industrial reports are generated according to analysis results. By the adoption of the method, the market segmentation and the level of competition of a certain industry in the E-commerce field can be acquired, hence, existing enterprises can be guided to adjust operating strategies, new enterprises can be guided to enter in the blue ocean industry, enterprise development is promoted, and resource matching can be guided to a certain extent.

The invention relates to the technical field of internet information processing, in particular to a data mining processing method. By setting filtering conditions of fields and the like, key information units in each document of original data are extracted and corresponding data records are formed; the data records are stored in a database; and based on this, associated information of target information and corresponding associated paths are obtained by extension according to the same information units contained in different data records. According to the method, an associative relationship hidden in massive target information can be analyzed as needed in massive internet information; a very reliable and convenient way is provided for deep mining and application of data information; and effective technical support is provided for target background analysis, market promotion, market segmentation, risk prediction and prevention control, and the like.

The present invention provides methods and systems for defining commercial transaction components; defining rules for mapping customer transactions into individual components; market segmentation in light of these individual definitions and bundling individual components of an offer into optimized packages for presentation and sale. A data processing system in accordance with one embodiment of the present invention, examines the commercial behavior of enrolled customers, breaks each of the constituent transactions into purchases of atom-level components; catalogues those components; extracts demographic information from said transactions and other sources; facilitates demographic studies of groups of such customers; optimizes offerings to such groups; and facilitates the consummation of those offers of sale. The processing system may also facilitate customers fiscal management through the communication of data necessary to practice the instant invention.

Methods of obtaining server usage information and organization information related to the market / organizational context in which the server is operated. Server information is collected from servers and is sent over a network. Server usage information may be obtained by receiving server information over a network and processing the server information. Server usage information may be segmented based on market segments of the organizations that operate the servers. Reports may be generated and provided to the customer. Server usage information may be used to improve server-related products and services.

A method for entering a market with high barriers to entry and a plurality of proprietary business elements includes converting at least one of the business elements into a universal business element that can accept a wide variety of inputs from other business elements, while converting a remaining one of the plurality of business elements to commoditized business elements. In addition, a market of a resulting business is limited so that the resulting business straddles a gap between two subdivisions of the market. Thus, a combination of technology and market division enables conversion of otherwise proprietary system to commodity equipment that can work with a wide variety of existing vendor equipment while competing technologically with highly engineered solutions. For example as applied to the undersea telecommunications market, one exemplary embodiment of the present invention employs an optical repeater that can accept any existing submarine cable, in combination with an optical line interface terminal that can accept existing terrestrial terminal equipment. Regarding market division, this embodiment is specifically limited to spans of less than 5000 kilometers, and preferably between 350 and 4000 kilometers, thereby straddling both the long-haul and short-haul markets while providing highly desirable services and capability. By selecting this market segment, the embodiment achieves highly desirable economics without the usual concomitant high engineering costs.

The present invention provides methods and systems for defining commercial transaction components; defining rules for mapping customer transactions into individual components; market segmentation in light of these individual definitions and bundling individual components of an offer into optimized packages for presentation and sale. A data processing system in accordance with one embodiment of the present invention, examines the commercial behavior of enrolled customers, breaks each of the constituent transactions into purchases of atom-level components; catalogues those components; extracts demographic information from said transactions and other sources; facilitates demographic studies of groups of such customers; optimizes offerings to such groups; and facilitates the consummation of those offers of sale. The processing system may also facilitate customers fiscal management through the communication of data necessary to practice the instant invention.

The present invention provides methods and systems for defining commercial transaction components; defining rules for mapping customer transactions into individual components; market segmentation in light of these individual definitions and bundling individual components of an offer into optimized packages for presentation and sale. A data processing system in accordance with one embodiment of the present invention, examines the commercial behavior of enrolled customers, breaks each of the constituent transactions into purchases of atom-level components; catalogues those components; extracts demographic information from said transactions and other sources; facilitates demographic studies of groups of such customers; optimizes offerings to such groups; and facilitates the consummation of those offers of sale. The processing system may also facilitate customers fiscal management through the communication of data necessary to practice the instant invention.

The invention discloses a dyeing method of white bamboo charcoal polyester fiber. The dyeing method comprises a desizing step, a dyeing step, an alkali deweighting step, a reducing and cleaning step and a drying step, wherein the desizing step comprises the steps of preparing a sodium carbonate solution in the concentration of 0.5%-1.2%, adding a detergent in the concentration of 0.5%-1.5%, desizing at the temperature of 80 DEG C-110 DEG C for 30-60 minutes with the bath ratio of 1: 30 and further taking out the fiber and fabric; the dyeing step comprises the step of putting the fiber after desizing into a dyeing jar, wherein the mixture ratio of a dyeing solution is as follows: the mass fraction of a reactive dye is 1%-7%, the mass fraction of glauber salt is 2%-5% and the mass fracture of ammonium sulfate is 0.1%-0.5%. According to the dyeing method of the white bamboo charcoal polyester fiber, disclosed by the invention, the impacts of a dyeing and finishing process on a health care function of bamboo charcoal can be reduced, rate of dye-uptake, color fastness and soft performance of hand feeling are increased, and the defect that the ordinary bamboo charcoal fiber is of gray and black and can not be suitable for demands of market segmentation can be effectively solved.

The invention relates to the technical field of internet information processing, and especially relates to a big data analysis processing method. The method comprises: through setting fields and other filtering conditions, extracting a key information unit in each document in original data, and forming corresponding data recordings, storing each data recording in a database, based on the above, according to the same information units included in different data recordings, using a big data processing framework in a cloud computing platform to abstract associated relations among the information units. The method can analyze associated information implied behind mass target information, and corresponding association paths as needed in mass Internet information. The method provides a very reliable and convenient approach for deep mining and application of data information, and provides effectively technical supports for target background analysis, market popularization, market segmentation, risk prediction and risk control.

The invention provides an Internet advertisement putting method and an apparatus thereof. The method is characterized by acquiring a terminal usage record of a user from a server or a base station, wherein the terminal usage record of the user includes an identifier of a terminal; according to the terminal usage record of the user, extracting information of terminal usage of the user; according to the information of terminal usage of the user, constructing market segmentation of the user; and according to the identifier of the user terminal, putting a preset advertisement to the terminal used by the user according to the market segmentation of the user. Compared to the prior art, by using the method and the apparatus, there are the advantages that through the terminal usage record, the information of terminal usage of the user is extracted so that even if information written by the user is less or the information is not real, real information of the user can be still extracted from the terminal usage record; and a user demand is further known and the advertisement which accords with the demand is put so that advertisement putting precision is greatly increased.

The invention discloses an enterprise market segmentation and positioning method based on data mining, and relates to the technical field of enterprise market analysis and decision making. According to the method, through dynamic relation modeling and real-time interaction mode tracking, in combination with time sequence analysis and an iterative updating mechanism, the market dynamic change can be accurately captured, and the problem that a traditional method is slow in response is solved. Meanwhile, potential relations among data points are deeply mined by adopting information correlation analysis and a graph network algorithm, the limitation of a traditional method is broken through, and more accurate market subdivision is realized; besides, based on prediction scene generation and decision path optimization, a scene simulation technology and external verification data are combined to generate a high-confidence prediction scene, scientific, comprehensive and dynamically optimized decision support is provided for enterprises, and it is ensured that the enterprises keep competitive power in a complex and changeable market.

The present invention relates to the technical field of Internet information processing, and particularly to a cloud computing platform based big data processing method. The method comprises according to the same information elements contained in different data records, using a big data processing framework under a cloud computing platform to abstract associated information of target information. The big data processing framework of the cloud computing platform, such as a MapReduce, a SparkIn and the like under a Hadoop system assigns the task to a plurality of nodes to be processed by automatic segmentation of the task, and the division and autonomy manner can implement parallel processing on massive data and greatly improves data processing efficiency. The method disclosed by the present invention, through the big data processing framework, can analyze associated information hidden behind massive target information in the complex Internet information according to requirements, and provides a reliable and convenient way for deepen excavation and application of data information, and provides effective technical support for target background analysis, marketing, market segmentation, risk prediction, risk prevention and control, and the like.

A method, system, and apparatus for estimating potential sales of animal products based on estimated animal population determined from a transaction history of sentinel products associated with particular animals. A set of sentinel products is determined that is associated with a specific type of animal. A number of the type of animal in a geographic region is estimated based on a transaction history associated with the set of sentinel products. A potential sales estimate for the geographic region is determined based on the estimated number of the particular type of animal in the geographic region.

The invention relates to the field of credit risk management, in particular to a method for generating a credit risk index on the basis of an individual credit report. According to the method, an overdue payment record of a single credit product is divided into different grades and is then converted into a Markov chain mathematical model; a conversion state matrix of the Markov chain mathematical model is calculated; the mathematical expectation of the overdue grade indexes of the term end single credit product is obtained through the backtrace operation of the conversion state matrix; and the integral risk index of a borrower is obtained according to the asset ratio of the borrower. The method for generating the credit risk index on the basis of the individual credit report overcomes the existing methods of only considering the credit default; the repayment information in the credit record is utilized to the maximum degree; and the integral index showing the credit risk is built. The index can be used as the measure for the individual credit risk, and can also be widely applied as an important input variable in customer market segmentation or credit risk modeling.

A method, system, and apparatus for estimating potential sales of animal products based on estimated animal population determined from a transaction history of sentinel products associated with particular animals. A set of sentinel products is determined that is associated with a specific type of animal. A number of the type of animal in a geographic region is estimated based on a transaction history associated with the set of sentinel products. A potential sales estimate for the geographic region is determined based on the estimated number of the particular type of animal in the geographic region.

The invention belongs to the technical field of stepped pricing systems, particularly relates to a stepped pricing system based on a dynamic packaging specification, and aims to solve the problems that consumers purchase unnecessary commodities, waste is generated and the cost is high due to the fact that flexible matching and corresponding pricing cannot be carried out according to specific requirements of the consumers in the prior art. In order to solve the problems that in the prior art, the market price is limited, and the sales potential and profit margin of merchants are limited, the invention provides the following scheme that the system comprises a user module and a menu analysis module, and the user module is connected with a menu input module, through precise pricing and personalized services, the market subdivision requirements can be better met, more consumers can be attracted, and the market competitiveness is improved. In addition, the system can quickly respond to market changes and optimize product combination and pricing strategies through intelligent design and data analysis capability, so that the system stands out in fierce market competition, and more business opportunities and profit growth points are brought to merchants.

A method for determining an optimal number of lottery retailers is disclosed. The optimal number of lottery retailers for a region can be determined based households of the same segmentations purchasing lottery products similarly, and there is a strong correlation between lottery agent density (population / retailers) and per capita lottery sales. The lottery agent density (LAD) necessary to produce high per capita sales can be identified and applied to all markets of that household segmentation.

The application discloses a kind of public transport passenger travel behavior space-time semantic similarity measurement method, the implementation steps of this method include: (1) based on the card data of passenger extraction departure place, departure time, travel mode, activity type and destination 5 kinds of travel attributes, further construct public transport passenger individual travel sequence;(2) the travel attribute in passenger travel sequence is expressed as discrete variable;(3) the travel behavior attribute and travel sequence are analogized as word and sentence respectively, and the travel attribute is converted into word vector by applying Word2vec model, so as to realize the space-time semantic embedding representation of travel sequence;(4) the space-time semantic similarity of passenger multi-day travel behavior is measured by using improved word shift distance.The application solves the defect that traditional travel behavior similarity measurement model cannot consider its space-time semantic correlation, can provide support for passenger market segmentation, individual travel demand modeling and public transport policy making etc..