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.

A method and apparatus for managing and integrating lead sources for a marketing/advertisement campaign on a platform that allocates and optimizes lead source budgets and provides a customer service and payment processing function. The present technology as disclosed and claimed herein provides a platform that is a customer retention and customer management system that is automated to provide lead estimations and optimizations to allocate and optimize lead source budgets where the system has a learning function that improves over time.

A method and apparatus for managing and integrating lead sources for a marketing/advertisement campaign on a platform that allocates and optimizes lead source budgets and provides a customer service and payment processing function. The present technology as disclosed and claimed herein provides a platform that is a customer retention and customer management system that is automated to provide lead estimations and optimizations to allocate and optimize lead source budgets where the system has a learning function that improves over time.

A computer implemented method for generating a GUI includes presenting a prompt for an event, receiving an input for an event, and displaying an event as an event card in response to the input for that event. The method also includes presenting a prompt for at least one filter, receiving an input for at least one of filter; and displaying the at least one filter as a card in response to the input for the at least one filter. The method also includes associating a logical operation with the event and the at least one filter, and displaying the logical operation between the event card and the filter card.

Systems and methods are provided for object discovery and object mapping through an application with a Graphical User Interface (GUI). Objects are discovered through an object recommendation channel and through user input of key words and/or key phrases. Each object includes an Intensity of Interest (IoI), which is a relative preference for an object reflected by relative size in the object map. Additionally, the object map provides a visual display which indicates relationships among objects.

Systems and methods for conducting a test on a third-party testing platform are provided. A networked system causes presentation of a setup user interface to a third-party user, whereby the setup user interface includes a field for indicating an attribute of a publication to be tested. The networked system receives, via the setup user interface, an indication of the attribute, a subject to be tested, and one or more test parameters. The networked system applies the attribute change to a first version of the publication to generate a second version of the publication. The first version is presented to a first subset of potential users and the second version is presented to a second subset of potential users. Interactions with both the first version and the second version are monitored and analyzed to determine results of the test. The results are then presented to the third-party user.

Systems and methods are described herein for resolving advertisement placement conflicts. Specifically, a number of parameters may be entered into a system in order to distribute advertisements into advertisement slots. In many instances, a combination of these parameters causes a conflict in the system where all the parameters cannot be applied in order to place advertisements into advertisement slots. The conflict may be resolved by using an advertisement assignment model to determine which parameters may be relaxed in order to arrive at an optimal solution that violates a smallest number of parameters having the least priority. When such a solution is found, the advertisement assignment model may be modified and advertisements may be placed into advertisement slots based on the modified advertisement assignment model.

The disclosed embodiments provide a system for performing an experiment strategy for member-based ramping. During operation, the system divides members of an online system into a control group and a treatment group. Next, the system configures delivery of content to the control group over a first set of channels that charge for actions related to the content and delivery of the content to the treatment group over a second set of channels that charge for the actions related to the content, wherein the second set of channels is smaller than the first set of channels. The system then performs a first experiment that selects an adjustment factor for content delivered over the second set of channels to the treatment group to achieve revenue neutrality and/or engagement neutrality between the treatment and control groups.

Techniques of prioritizing campaigns based on scrubbing rules using a bitmap are provided. A plurality of user rules is stored and a first set of users is identified for each user rule. A user rule index is generated based on the first set of users. A plurality of campaigns is stored and a second set of users is identified for each campaign. A campaign index is generated based on the second set of users. For each user indicated in the campaign index, a set of zero or more user rules is identified and a set of one or more campaigns is identified. A second set of campaign rules of a campaign that is in the set of one or more campaigns is identified. A determination is made whether at least one rule in the second set of campaign rules is in the first set of zero or more user rules.

A computer-implemented method for dynamic link redirection includes receiving a request to display online content to a user, determining a plurality of current content links in the online content, for each current content link among the plurality of current content links, performing operations including: obtaining current assessment parameters for the current content link, generating a current assessment for the current content link based on the current assessment parameters, obtaining a plurality of alternative content links based on the current content link, generating a plurality of alternative assessments for each alternative content link among the plurality of alternative content links based on respective alternative assessment parameters for the alternative content link, determining a selected content link among the plurality of alternative content links based on the current assessment and the plurality of alternative assessments, replacing the current content link in the online content with the selected content link, and displaying the online content to the user.