Disclosed are methods and systems for generating targeted advertising campaigns for a business-to-business (B2B) company. The method comprises first retrieving an ideal customer profile (ICP), and generating candidates leads that match the ICP. Next, generating test campaigns, scoring each test campaign based on a number of acquired leads and a campaign cost per lead (CPL), where the number of acquired leads is calculated based on feedback information received from each test campaign, and where each test lead who responds affirmatively to one of the test campaigns is marked as an acquired lead, and generating a targeted advertising campaign to a larger subset of the candidate leads based on the test campaign scores. The present invention utilizes a closed-loop approach to customize campaign audiences, to optimize targeted advertising campaigns and ICPs, and as a result, to produces high-quality, low-cost, targeted advertising campaigns for B2B companies.

Methods consistent with the present disclosure allow purchasers of a product to become a product distributor as part a multi-level marketing (MLM) organization. Once a person has purchased an item (a product or service) via their user device, they may be allowed to share information associated with the item with other user devices. These other user devices may be devices owned by members of a same social media group and the information shared with these other user devices may include materials that promote the sale of specific products. New users may be sent invitations to join an existing social media group, existing users may be sent invitations to join new or other social media groups, or both new users and existing users may be sent invitations to join particular groups based on these users being associated with a similar set of demographic data.

In one aspect, an example method includes (i) obtaining, by a computing system, historical content consumption data for a content-presentation device; (ii) determining, by the computing system and using the historical content consumption data, a first retention rate for a first replacement advertisement segment; (iii) determining, by the computing system and using the historical content consumption data, a second retention rate for a second replacement advertisement segment; (iv) selecting, by the computing system, the first replacement advertisement segment rather than the second replacement advertisement segment based on the first retention rate being greater than the second retention rate; and (v) causing, by the computing system, the first replacement advertisement segment to be transmitted to the content-presentation device.

In one aspect, an example method includes (i) determining an estimated number of replacement advertisement segment viewings remaining before an end date of a first advertising campaign; (ii) determining a number of impressions remaining for the first advertising campaign in order to reach a guaranteed total; (iii) determining, using the estimated number of replacement advertisement segment viewings and the number of impressions remaining, a first value of serving a first replacement advertising segment corresponding to the first advertising campaign to a content-presentation device; (iv) determining a second value of serving a second replacement advertisement segment corresponding to a second advertising campaign to the content presentation device; (v) selecting the first replacement advertisement segment rather than the second replacement advertisement segment based on the first value being greater than the second value; and (vi) causing the first replacement advertisement segment to be transmitted to the content-presentation device.

A method of avoiding infinite loops of changes to a dynamic web page to display on a client device includes displaying the dynamic web page received from a content provider on the client device, wherein the dynamic web page comprises a modified element having an original modification. The method further includes receiving an indication that the modified element was updated to generate an updated modified element. The method further includes, in response to receiving the indication, determining, by a processing device, that reapplying the original modification to the updated modified element would result in an infinite loop on the dynamic web page. The method further includes, based on the determination, displaying the updated modified element on the dynamic without reapplying the original modification to the updated modified element.

A sales enhancement system and method is disclosed. The sales enhancement system is configured to use one or more deal program collections, which are groupings or compilations of deal programs. The sales enhancement system manages deal programs in the deal program collections at various stages of use including: associating a deal program with multiple deal program collections; determining the number of deals to assign to the different deal programs; using triggers to select which deal program collections to access; transmitting an offer for a deal; and processing acceptances of the offers.

The claimed subject matter includes techniques for providing an application testing service with a user interface that enables a user to evaluate performance data for computer implemented decision policies. An example method includes displaying a first reward statistic comprising an actual performance result for a policy implemented by an application. The method also includes obtaining experimental data corresponding to previously implemented policies, computing a second reward statistic for a hypothetical policy using a reward function applied to the experimental data. The method also includes displaying the second reward statistic together with the first reward statistic to enable a user to compare the first reward statistic and the second first reward statistic.

An example method involves a computing device displaying a first action-outcome node corresponding to a first marketing-campaign action, displaying a plurality of outcomes of the first marketing-campaign action, positioned around the first action-outcome node, wherein each outcome corresponds to a potential result of the first marketing-campaign action, displaying a second action-outcome node corresponding to a second marketing-campaign action, displaying a plurality of outcomes of the second marketing-campaign action, positioned around the second action-outcome node, wherein each outcome corresponds to a potential result of the second marketing-campaign action, and displaying a graphical link connecting an outcome of the first action-outcome node to the second action-outcome node.

Systems, methods and media for adaptive real time modeling and scoring are provided. In one example, a system for automatically generating predictive scoring models comprises a trigger component to determine, based on a threshold or trigger, such as a detection of new significant relationships, whether a predictive scoring model is ready for a refresh or regeneration. An automated modeling sufficiency checker receives and transforms user-selectable system input data. The user-selectable system input data may comprise at least one of email, display or social media traffic. An adaptive modeling engine operably connected to the trigger component and modeling sufficiency checker is configured to monitor and identify a change in the input data and, based on an identified change in the input data, automatically refresh or regenerate the scoring model for calculating new lead scores. A refreshed or regenerated predictive scoring model is output.

This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.