Abstract: Systems for rating leads are presented. A lead providing service preferably provides a tagging interface that allows users interested in leads to assign the leads one or more tags. The tags represent metrics by which one or more leads can be rated by other users. A rating interface is also provided to allow users to rate the leads with respect to the tags by setting a rating value according to a rating scale. Leads are presented to users along with the tags and tag ratings that calculated from the rating values submitted by users.

Abstract: Methods of providing leads are presented. A lead database storing leads is made available, possibly via a lead mining service, where leads comprise closing values and attributes that have attributes values or attribute metadata describing the attributes. Lead purchasers can modify the closing values or attributes of the leads as they work the leads. An analytics engine can derive one or more value drivers for a lead purchaser based on a multi-varitate analysis of the closing values and attributes of the leads. Sources of leads can be assigned trust scores that indicate a measure of confidence that the source can provide leads according to the purchaser's value drivers.

Abstract: Adaptive lead pricing systems are presented. Users of a lead mining service can use a lead attribute interface to modify a lead's attributes where the attributes can include an attribute value of the lead attribute or attribute metadata bound to the lead attribute. As leads are worked, an analytic engine tracks attribute values and attribute metadata as they vary with time with respect to closing values of the leads. The analytic engine derives correlations among the closing values of the leads, the attribute values, and the attribute metadata by using multi-variate testing techniques. The correlations can be used to adapt a sales price of the lead to form a current price at which the lead is offered to a lead purchaser through a purchasing interface.

Abstract: Lead mining services and methods are presented. A lead mining service stores leads having attributes, a history, or a closing value in a database and allows lead consumers to defined policies for acceptable leads. The service provides leads to the lead consumers according to their defined lead policies. Each consumer can work a lead by modifying lead attributes, or closing values. Based on how consumers work leads, an analytic engine associated with the service can discover or establish trends from leads having acceptable closing values. The trend information can be used to form a predication comprising a set of one or more leads that are predicted to have acceptable closing values for the lead consumers were the set of leads fail to satisfy the consumer's lead policies. Contemplated lead mining services identify leads that would ordinarily be overlooked or fall outside the scope of a lead policy.