Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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. In one embodiment, the client specifies which of a plurality of enhancements should be applied to lead records received from the particular client. In one embodiment, the lead enhancement module returns a contactability score for each lead record, indicated 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. In one embodiment, data items associated with the individual that are returned to the client are selected based on a vertical market of the client. In one embodiment, custom models that are defined on a per client basis are applied to lead records that are received from the particular client.

Abstract: 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.

Abstract: 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.

Abstract: A lead enhancement module transmits to one or more data sources an enhancement list requesting additional data items associated with a lead record. The enhancement list may comprise one or more data bundles, each comprising indicators associated with one or more additional data items. A personalized data bundle may be created by each client listing those specific additional data items that the particular client would like to retrieve for lead records from the client. A default data bundle may be included in the enhancement list for clients that have not defined a personalized data bundle, or the default bundle may be included in the enhancement list in addition to the personalized data bundle. Various default bundles, such as vertical market specific data bundles, may be created and provided to the client for possible inclusion in the enhancement list.

Abstract: 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. In one embodiment, the client specifies which of a plurality of enhancements should be applied to lead records received from the particular client. In one embodiment, the lead enhancement module returns a contactability score for each lead record, indicated 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. In one embodiment, data items associated with the individual that are returned to the client are selected based on a vertical market of the client. In one embodiment, custom models that are defined on a per client basis are applied to lead records that are received from the particular client.

Abstract: 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.

Abstract: A lead enhancement module transmits to one or more data sources an enhancement list requesting additional data items associated with a lead record. The enhancement list may comprise one or more data bundles, each comprising indicators associated with one or more additional data items. A personalized data bundle may be created by each client listing those specific additional data items that the particular client would like to retrieve for lead records from the client. A default data bundle may be included in the enhancement list for clients that have not defined a personalized data bundle, or the default bundle may be included in the enhancement list in addition to the personalized data bundle. Various default bundles, such as vertical market specific data bundles, may be created and provided to the client for possible inclusion in the enhancement list.

Abstract: A process is described for preparing 4,4'-dihydroxydiphenylethane by reacting phenol with a 1,2-dihaloethane in which the halogen is chlorine, bromine or iodine, in at least the stoichiometric proportions of 2:1 in contact with a catalyst comprising lanthanum oxide supported on an inorganic material such as silica at a temperature from about 125.degree. to about 225.degree. C. and in the presence of a hydrogen halide as a promoter.

Abstract: Bitumen filled polyester foams are provided through a process which comprises forming a solution of a bitumen having a softening point of at least about 80.degree. C. and a cyclic diacid anhydride at a temperature above the softening point of a bitumen, the bitumen solution is then mixed with a monoterminal epoxide and a polyterminal epoxide in the presence of a blowing agent resulting in the initiation of an exothermic reaction. The process for producing bitumen filled polyester foams through the in situ polymerization of polyesters in a solution of bitumen and the foams produced by the process constitute the invention.