Provided herein are exemplary systems and methods including a secure intelligent networked architecture with dynamic feedback including an intelligent probabilistic influence server having a hardware processor and a memory for storing executable instructions, an interactive graphical user interface communicatively coupled over a network to the intelligent probabilistic influence server, a cloud resource communicatively coupled over the network to the intelligent probabilistic influence server and the interactive graphical user interface, the intelligent probabilistic influence server configured to receive from the interactive graphical user interface an indicator of a influencer target universe, identify on the network the influencer target universe, and store the influencer target universe.

Embodiments of system are disclosed in which selection strategies for a direct marketing campaign that identify consumers from a credit bureau or other consumer database can be planned, tested, and/or refined on a stable subset of the credit database. In some embodiments, once refined, consumer selection criteria may be used to execute the direct marketing campaign on the full consumer/credit database, which is preferably updated approximately twice weekly. In one preferred embodiment, the data for the test database represents a random sampling of approximately 10% of the full database and the sampling is regenerated approximately weekly in order to provide a stable set of data on which campaign developers may test their campaign. For each consumer in the sampling, the environment may allow a client to access and use both attributes calculated by the credit bureau and proprietary attributes and data owned by the client. The system allows for a plurality of clients to use the system substantially simultaneously while protecting the privacy and integrity of the client's proprietary data and results.

Techniques and systems are described for analyzing components of digital marketing content as part of a digital marketing campaign. A computing device of an analytics system receives user interaction data that describes an effect of user interaction with a plurality of items of digital marketing content on achieving an action. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system then generates outcome data describing a likely effect of the plurality of components on achieving the action based on association with respective items of digital marketing content. Additionally, the analytics system generates a recommendation to configure a subsequent item of digital marketing content based on the outcome data. The recommendation is based on the likely effect of the different ones of the plurality of components, to generate more effective digital marketing content items for digital marketing campaigns.

This disclosure provides aspects and embodiments of methods, services, and platforms for prompting users with a zero account balance to send a callback message to a contact informing the contact that the user cannot call them and asking the contact to call the user. This disclosure further provides location determining platforms and rewards platforms for users.

A system and process to create a lookalike model for a target audience to deliver advertisements are disclosed. According to one embodiment, the method comprises selecting survey data from a survey database that relates to an advertisement. A heterogenous treatment effect (HETE) model is trained on the survey data. Persuadable customers are identified from the survey database for the advertisement based on the HETE model. An optimized customer list is generated using personally identifiable information.

A method for conducting ad research is provided. The method includes identifying a plurality of panelists, wherein each panelist has a user device, embedding a first object in digital content that will be viewed by the plurality of panelists, using the first object to place a cookie on a respective user device when each panelist views the digital content, wherein the cookie enables a server to identify the respective user device, embedding a second object in a test advertisement, serving the test advertisement to at least some of the plurality of panelists using the cookies, generating data related to the serving of the test advertisement using the second object, and collecting ad effectiveness data from the plurality of panelists regarding the test advertisement.

Systems and methods for assessing the veracity of content are described. The method may include determining a truth rating for each of a plurality of factual claims in a document, generating a veracity score for the document based on the truth rating for each of the identified plurality of factual claims, generating a meta-data score for the document based on metadata of the document, and generating a content structure score for the document. The method may then include generating a reliability index for the document based on the veracity score and the meta-data score and presenting the scores and the overall reliability index to a user via a user application.

Systems and methods to provide a response to advertising determine and/or obtain a commercial good that is related to an advertisement presented to a user, and further determine and/or obtain a commercial source for that commercial good. Information regarding the particular commercial good and/or the corresponding commercial source is presented to the user, for example using a graphical user interface. The user may subsequently be able to buy the commercial good from the commercial source.

The present disclosure relates to digital experience development platforms and, more particularly, one or more components, systems and methods thereof of an intelligent digital experience development platform (IDXDP) configured to assist different users in the development, design and deployment of digital applications. A computer-implemented method comprises: rendering, by a computer device, an object in response to actions performed through the computer device; collecting, by the computer device, a syntax associated with the object; processing, by the computing device, the collected syntax to determine an intent associated with the object; and matching, by the computing device, a recommended action to the intent.

The present disclosure relates to digital experience development platforms and, more particularly, one or more components, systems and methods thereof of an intelligent digital experience development platform (IDXDP) configured to assist different users in the development, design and deployment of digital applications. A computer-implemented method includes: receiving, by a computing device, an event stream comprising user actions performed within a development tool; identifying, by the computing device, a pattern using the event stream; determining, by the computing device, a confidence level of the pattern; and in response to the confidence level of the pattern exceeding a threshold, the computing device providing a recommendation based on the pattern.