Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. An example apparatus includes at least one memory, programmable circuitry, and instructions to cause the programmable circuitry to generate a first demographic correction model based on a first matrix, the first matrix including first data indicative of user accesses to media, the first matrix associated with a first demographic, generate a second demographic correction model based on a second matrix, the second matrix including second data indicative of user accesses to the media, the second matrix associated with a second demographic, and generate predicted demographics of a user associated with the user accesses based on the first demographic correction model and the second demographic correction model, the predicted demographics including the first demographic and the second demographic.

A network-based communication system that includes a dynamic attribution platform using Artificial Intelligence (AI), for identifying a state of a user, at a given moment, while the user is engaged in a product transaction or search journey. Based on analysis provided by the Artificial Intelligence, the system provides a series of gesture driven prompts to the user to capture the specific information from the user to allow for the product transaction to occur or journey to continue.

Various systems and methods may aggregate content from one or more poll results database/sources, social media platforms, content sites, and/or other sources. For polling data, each category of results may correspond to direct responses to polling questions. For example, a question may be posed to respondents “Do you have a favorable or unfavorable impression of <Entity>?” in which “<Entity>” corresponds to an entity for which a brand score is being generated. The responses may include the categories such as: “Very Favorable,” “Somewhat Favorable,” “Somewhat Unfavorable,” “Very Unfavorable,” “Never Heard Of,” “Heard Of, but No Opinion.” For non-polling data, the system may parse the content (e.g., words or phrases, graphics such as “emoji”, comments, etc.) to categorize the non-polling data into one of the above categories, which may correspond to a polling category. Brand scores may be generated based on the polling data and/or the non-polling data.

A system that incorporates teachings of the present disclosure may include, for example, a media processor having a controller to present media content provided by a media content source operating in an interactive television (iTV) network, access a client program which presents an overlay that superimposes onto the media content, wherein the client program enables the media processor to associate at least a portion of the media content with a user-generated comment, receive the user-generated comment, wherein the user-generated comment provides commentary on the portion of the media content, associate the user-generated comment with the portion of the media content, and transmit the user-generated comment to a third party for determination of marketing parameters of the portion of the media content. Other embodiments are disclosed.

A technique for dynamically adjusting a digital advertising campaign during an active campaign flight is discussed. Using feedback from a digital survey over an exposed audience of user populations, brand lift may be calculated on a per ad creative and/or per site basis. User characteristics derived from content consumption patterns may be used to optimize ongoing campaigns and formulate target audiences and target creative formats for new campaigns.

This disclosure provides methods, systems, and platforms for automatically prompting a mobile device user to download an application to their mobile device after a triggering event. Triggering events include calling a business, receiving a call from a business, and navigating to a website. In some embodiments, a business can run a targeted campaign to automatically prompt a mobile device user to download an application. In some embodiments, the platform interacts with an application installed on the mobile device. The prompt displayed on the mobile device includes an actionable option to download an application.

The present invention is directed to system architecture of a measurement platform configured to determine advertisement awareness by consumers and methods for determining advertisement awareness by consumers at low cost. The system architecture is flexible and may be applied to any advertisement and is configured to operate without involvement or approval of the advertiser. The system uses user recognition rather than user recall as an indication of measuring awareness within a publisher's website, by tracking advertisement exposure to consumers and dynamically constructing sample interrogation sets to query consumers.

Provided herein are systems and methods for measuring effectiveness of an advertising campaign. Measurement of persuasion metrics, rather than engagement metrics, may provide more meaningful data on understanding how brands are actually moving their audience over time.

Configurations for facilitating electronic commerce are disclosed. In some embodiments, a retailer/non-profit entity (“provider”) sends content and offer and a selectable link to prospective consumers via a messaging service. The offer is sufficiently defined such that a consumer's selection of the link provides a preliminary acceptance to the provider's offer. A consumer's acceptance to the provider offer can be received by a front-end commerce application (FECA) and the FECA can reply via the messaging service with a shortened unique universal resource locator (URL) for selection by the consumer where upon selection of this URL will seamlessly place the consumer in communication with their funding source of choice. Such a configuration efficiently bridges communication between a messaging service and an Internet Protocol service allowing ad-hoc access to a transaction account via simple link selections by a consumer in response to an advertising impression.

Methods and apparatus to determine census information of events. An example apparatus includes an apparatus comprising a universe estimate calculator to determine an auxiliary equation based on census data corresponding to a first event and a second event, a constraint equation controller to select a first constraint equation and a second constraint equation based on the census data, the first constraint equation corresponding to the first event, the second constraint equation corresponding to the second event, a census information generator to determine first census information and second census information based on the auxiliary equation, the first constraint equation, the second constraint equation, panel data, and the census data, the first census information corresponding to the first event, the second census information corresponding to the second event, the first census information and the second census information not included in the census data, and a report generator to generate a report including the first census information and the second census information.