Abstract: In an automated leads-and-bids matching system, bid profiles are defined to describe desires of lead buyers. Received leads are matched to active ones of the bid profiles whose specifications the leads substantially match. Lead segmentation data is captured on-the-fly for example by inducing potential consumers to navigate their way through tree-organized web sites that categorize the consumers according to their geographic location, income/revenue range, class of products desired and/or other attributes. Live voice or other telecommunication connections to the pre-classified consumers are coupled to corresponding, pre-classified telecommunication nodes of a call processing system. The call processing system deduces the segmentation data of the consumers from the identities of the pre-classified nodes through which their connections pass. The deduced segmentation data is passed to an automated matching system or auctioning subsystem that finds the highest bids for each given lead.

Abstract: In an automated leads-and-bids matching system, bid profiles are defined to describe desires of lead buyers. Received leads are matched to active ones of the bid profiles whose specifications the leads substantially match. Lead segmentation data is captured on-the-fly for example by inducing potential consumers to navigate their way through tree-organized web sites that categorize the consumers according to their geographic location, income/revenue range, class of products desired and/or other attributes. Live voice or other telecommunication connections to the pre-classified consumers are coupled to corresponding, pre-classified telecommunication nodes of a call processing system. The call processing system deduces the segmentation data of the consumers from the identities of the pre-classified nodes through which their connections pass. The deduced segmentation data is passed to an automated matching system or auctioning subsystem that finds the highest bids for each given lead.

Abstract: In an automated leads-and-bids matching system, bid profiles are defined to describe desires of lead buyers. Received leads are matched to active ones of the bid profiles whose specifications the leads substantially match. Lead segmentation data is captured on-the-fly for example by inducing potential consumers to navigate their way through tree-organized web sites that categorize the consumers according to their geographic location, income/revenue range, class of products desired and/or other attributes. Live voice or other telecommunication connections to the pre-classified consumers are coupled to corresponding, pre-classified telecommunication nodes of a call processing system. The call processing system deduces the segmentation data of the consumers from the identities of the pre-classified nodes through which their connections pass. The deduced segmentation data is passed to an automated matching system or auctioning subsystem that finds the highest bids for each given lead.

Abstract: In an automated leads-and-bids exchange system, bid profiles are defined to describe desires of lead buyers. Received leads are matched to active ones of the bid profiles whose specifications the leads substantially match. An auctioning subsystem finds the highest one or group of bids for each given lead. A quality rating database rates the quality of leads provided by different sellers. A price discounting engine discounts the amount paid to sellers who are rated as inferior sources of leads.

Abstract: In an automated leads-and-bids exchange system, bid profiles are defined to describe desires of lead buyers. Received leads are matched to active ones of the bid profiles whose specifications the leads substantially match. An auctioning subsystem finds the highest one or group of bids for each given lead. A quality rating database rates the quality of leads provided by different sellers. A price discounting engine discounts the amount paid to sellers who are rated as inferior sources of leads.

Abstract: In an automated leads-and-bids matching system, bid profiles are defined to describe desires of lead buyers. Received leads are matched to active ones of the bid profiles whose specifications the leads substantially match. Lead segmentation data is captured on-the-fly for example by inducing potential consumers to navigate their way through tree-organized web sites that categorize the consumers according to their geographic location, income/revenue range, class of products desired and/or other attributes. Live voice or other telecommunication connections to the pre-classified consumers are coupled to corresponding, pre-classified telecommunication nodes of a call processing system. The call processing system deduces the segmentation data of the consumers from the identities of the pre-classified nodes through which their connections pass. The deduced segmentation data is passed to an automated matching system or auctioning subsystem that finds the highest bids for each given lead.

Abstract: In an automated leads-and-bids exchange system, bid profiles are defined to describe desires of lead buyers. Received leads are matched to active ones of the bid profiles whose specifications the leads substantially match. An auctioning subsystem finds the highest one or group of bids for each given lead. A quality rating database rates the quality of leads provided by different sellers. A price discounting engine discounts the amount paid to sellers who are rated as inferior sources of leads.