Abstract: Improvement of the quality of name and address matching processes using e-mail domains is provided. A distinction is made between e-mail domains designed to be used by employees of an entity and domains designed to be used by individuals or organizations who aren't employees of the domain owner entity. By analyzing domain names in conjunction with known relationships between e-mail addresses and names of companies, it is possible to differentiate between employee-use domains and public-use domains and maintain a collection of employee-use domains that are associated with the domain owner's business name. When performing a name and address matching process, the e-mail domains of the input records can be checked against the collection of employee-use domains and the records for the input name and address can be supplemented to include the domain owner's name and address as alternative information.

Abstract: A method and system for maintaining the privacy of consumers wishing to make a purchase while enabling them to benefit from a group discount is provided. Consumers register with a service provider that maintains their personal information in private. When a consumer is interested in purchasing a product or patronizing a traditional “brick and mortar” establishment, the consumer provides information to the service provider regarding such interest. The service provider can query other registered consumers to determine if there are others that have a similar interest. Using the leverage of all the consumers that respond to the query, the service provider can negotiate with one or more merchants to provide some type of group offer, without having to disclose the consumers' personal information. Upon successful negotiation of a group offer, the consumers will be provided with the offer.

Abstract: Improvement of the quality of name and address matching processes using e-mail domains is provided. A distinction is made between e-mail domains designed to be used by employees of an entity and domains designed to be used by individuals or organizations who aren't employees of the domain owner entity. By analyzing domain names in conjunction with known relationships between e-mail addresses and names of companies, it is possible to differentiate between employee-use domains and public-use domains and maintain a collection of employee-use domains that are associated with the domain owner's business name. When performing a name and address matching process, the e-mail domains of the input records can be checked against the collection of employee-use domains and the records for the input name and address can be supplemented to include the domain owner's name and address as alternative information.

Abstract: Methods and systems for identifying, retrieving and analyzing social media data pertinent to a business' customers to derive personal information that can be used for targeted advertising, thereby helping the business improve and grow. A scanning engine searches social media spaces to identify the presence of a business' customers. A data engine will collect the social activity data from the various social networking sites based upon social presence identified by the scanning engine. An analytic engine will analyze the information collected by the data engine. This will give a business a 360 degree view of its business and customers and help the business to find the cause behind the effect and develop the right strategy to improve and grow its business.

Abstract: A computer method that is used to control call center volumes for a range of dates. The method involves utilizing previous mailing campaign and call center response data to determine when the mail arrives in the home and when a call center is contacted in response to information in the mail; predicting the call center volumes based initially on the previous campaign and call center response data and as the mailing campaign and call center responses progresses updating call center predictions based on current mailing campaign data; and determining in home mail volumes needed to control call center volumes.

Abstract: A computer controlled method that enables a mailer to control when recipients will receive mail mailed by the mailer. The method involves receiving a mailing composition, the desired mailing in home delivery date ranges and carrier schedules; utilizing a prediction model built from historical delivery data to predict when the quantities of mail will arrive for the mailing; and using the prediction model to determine preferred induction dates for the mailing.

Abstract: A method utilizing a computer to predict what volumes of mail will arrive at a given destination on a given date. The method is accomplished by: utilizing the composition of a mailing campaign that contains a plurality of mailing shipments that contain a plurality of containers containing a plurality of mail pieces; making a prediction curve for each container when the shipment is inducted at a carrier facility; and building a mailing campaign prediction based upon the container predictions; wherein each shipment prediction curve is added to the mailing campaign prediction at the date when the shipment is inducted at the carrier facility.

Abstract: A computer method that is used to predict when recipients of mail pieces will contact a call center in response to information contained in the mail pieces. The method involves, utilizing previous mailing campaign data to determine when the mail piece arrives in the home and when a call center is contacted in response to information in the mail piece; and predicting call volumes based initially on previous campaign data and as the mailing campaign progresses updating call center predictions based on current mailing campaign data.

Abstract: A computer method that determines the best day of the week for a recipient to receive a mail piece that is part of a mailing campaign. The method includes by applying a unique code to each mail piece in the mailing; tracking the mail piece to determine when the mail piece is received by a recipient; correlating the recipient's response to information contained in the mail piece with the day of the week when the mail piece is delivered to the recipient.

Abstract: A computer method that is used to control call center volumes for a range of dates. The method involves utilizing previous mailing campaign and call center response data to determine when the mail arrives in the home and when a call center is contacted in response to information in the mail; predicting the call center volumes based initially on the previous campaign and call center response data and as the mailing campaign and call center responses progresses updating call center predictions based on current mailing campaign data; and determining in home mail volumes needed to control call center volumes.