摘要:
Embodiments facilitate confidential and secure sharing of anonymous user profile data to improve the delivery of customized content. Embodiments of the invention provide a data appliance to an entity such as a business to convert profile data about the business's customers into anonymous identifiers. A similar data appliance is provided to a content provider in one embodiment to generate identifiers for its user profile data. Because the anonymous identifiers are generated with the same anonymization method, identical identifiers are likely generated from profile data of the same users. Therefore, the identifiers can be used to anonymously match the customers of the business to the users of the content provider. Therefore, data can be shared to improve customized content such as advertisements that the business wishes to place with the content provider without requiring the business to disclose customer data in an unencrypted form, and any non-matched data can remain confidential.
摘要:
In some embodiments, systems and methods are disclosed for generating filters to determine whether a consumer is likely to have a scoreable credit record based on non-credit data, and to determine a potential risk level associated with an unscoreable credit record based on non-credit data. Existing scoreable and unscoreable records are compared to determine factors correlated with having an unscoreable record, and a multi-level filter is developed. Unscoreable records having at least one entry are compared to determine whether they are “good” or “bad” risks, factors correlated with either condition are determined, and a filter is developed. The filters can be applied to records comprising demographic data to determine consumers that are likely to have unscoreable records but represent good risks.
摘要:
A process and system for integrating information stored in at least two disparate databases. The stored information includes consumer transactional information. According to the process and system, at least one qualitative variable which is common to each database is identified, and then transformed into one or more quantitative variables. The consumer transactional information in each database is then converted into converted information in terms of the quantitative variables. Thereafter, an integrated database is formed for predicting consumer behavior by combining the converted information from the disparate databases.
摘要:
The present invention provides a system, method, software and data structure for independently predicting attitudinal and message responsiveness, using a plurality of attitudinal or other identification classifications and a plurality of message content or version classifications, for a selected population of a plurality of entities, such as individuals or households, represented in a data repository. The plurality of predictive attitudinal (or identification) classifications and plurality of predictive message content (ore version) classifications have been determined using a plurality of predictive models developed from a sample population and applied to a reference population represented in the data repository, such as attitudinal, behavioral, or demographic models. For each predictive attitudinal (or identification) classification, at least one predominant predictive message content or version classification is independently determined. The exemplary embodiments also provide, for each predictive attitudinal classification, corresponding information concerning predominant communication media (or channel) types, predominant communication timing, predominant communication frequency, and predominant communication sequencing.
摘要:
Embodiments of the invention include systems and methods that enable the association and aggregation of consumer data gathered from online and offline sources. In particular, several embodiments are directed to linking consumer data in a data source controlled by an entity (e.g., such as a company's CRM (customer relationship management) database) to offline data sources such as demographic data, and/or online data sources such as online interaction data. The linking may be based on several identifiers (IDs) associated with the data sources. The systems and methods disclosed herein thus facilitate the association of these disparate data sources and enable various entities to better tailor interactions with the consumers. In other embodiments, a shared cookie data management system and method is disclosed. The shared cookie serves as a vehicle through which entities can selectively share consumer information with other entities in a system with uniform format and technical infrastructure.
摘要:
A client transmits one or more lead records to a lead enhancement module that is configured to enhance the received lead records and return enhanced lead records to the client. The lead enhancement module may return a contactability score for each lead record, indicating a likelihood that the individual identified in the lead may be contacted using the contact information provided in the lead record and/or additional contract information located by the lead enhancement module. The lead enhancement module may also receive additional data items associated with leads from one or more data sources. Additionally, statistical models that may be customized for each client may be applied to information associated with lead records in order to determine one or more propensity scores for each of the lead records, where a propensity score indicates a likelihood that an individual will take a particular action, such as purchasing particular goods or services.
摘要:
The various embodiments of the invention provide software and metadata structures for a data processing system and method, for applications such as marketing campaign management, speech recognition and signal processing. An exemplary system embodiment includes a first data repository adapted to store a plurality of entity and attribute data; a second data repository adapted to store a plurality of entity linkage data; a metadata data repository adapted to store a plurality of metadata modules, with a first metadata module having a plurality of selectable parameters, received through a control interface, and having a plurality of metadata linkages to a first subset of metadata modules; and a multidimensional data structure.
摘要:
Share of Wallet (“SOW”) is a modeling approach that utilizes various data sources to provide outputs that describe a consumers spending capability, tradeline history including balance transfers, and balance information. These outputs can be appended to data profiles of customers and prospects and can be utilized to support decisions involving prospecting, new applicant evaluation, and customer management across the lifecycle. The outputs can be used as attributes to consider in developing a credit bureau scorecard.
摘要:
Commercial size of spending wallet (“CSoSW”) is the total business spend of a business including cash but excluding bartered items. Commercial share of wallet (“CSoW”) is the portion of the spending wallet that is captured by a particular financial company. A modeling approach utilizes various data sources to provide outputs that describe a company's spend capacity. Marketing companies that sell lists compile those lists by searching one or more databases for names and/or businesses that match certain criteria. Those marketing companies can use the CSoW/CSoSW modeling approach to show predicted spend and/or revenues for each company on a list. This makes the list more valuable to list buyers.
摘要:
A process and system for integrating information stored in at least two disparate databases. The stored information includes consumer transactional information. According to the process and system, at least one qualitative variable which is common to each database is identified, and then transformed into one or more quantitative variables. The consumer transactional information in each database is then converted into converted information in terms of the quantitative variables. Thereafter, an integrated database is formed for predicting consumer behavior by combining the converted information from the disparate databases.