Aspects of the invention include receiving, at a processing system, weather data that is associated with a target consumer. Content of a digital advertisement for a vendor is selected based at least in part on the weather data that is associated with the target consumer, and information about an item or a service provided by the vendor. The digital advertisement, including the content, is transmitted for presentation to the target consumer via a user interface. A response to the digital advertisement is received from the target consumer. The content of the digital advertisement is modified based at least in part on the response to the digital advertisement from the target consumer. The digital advertisement, including the modified content, is transmitted for presentation to the target consumer via the user interface.

A targeted advertising campaign may be developed by a server that received an identifier for a source resource associated with a social media platform for a digital advertising campaign. Source resources may be URLs and/or URI that provide a location of information stored on the Internet. Often times, the source resource is associated with a social medial platform. The source resource may be accessed and one or more units of interest (UOIs) may be collected therefrom. A UOI and an associated source resource may be associated together as a target audience. A set of target audiences may be generated and provided to a user, who may select one or more of the target audiences for the advertising campaign. The advertising campaign may be run and metrics regarding performance of the advertising campaign may be gathered. These metrics may be used to iteratively improve the advertising campaign.

Disclosed is a system and method for labeling digital content based on intended psycho-emotional effect on a viewer in order to provide an advisory prior to viewing comprising the steps of: uploading or stream-initiating a digital content by a viewer; selecting at least one intended psycho-emotional effect from the content based on scraped meta-data tags of the content; and overlaying a digital nutrition label to the digital content corresponding to the scraped psycho-emotional effect from the content, wherein the overlaid label displays at least one of an effect or triggered neurotransmitter associated with the effect in order to provide an advisory to the viewer prior to viewing the labeled digital content.

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.

The present disclosure relates to systems, methods, and non-transitory computer readable media for generating a predicted response to a digital survey question and identifying digital survey questions to remove from a digital survey. For example, the disclosed systems can reduce the number of digital survey questions distributed as part of a digital survey by identifying and removing similar digital survey questions. In addition, the disclosed systems can generate a predicted response to an unprovided digital survey question based on determining relationships between respondents. Further, based on respondent relationships, the disclosed systems can identify digital survey questions that a respondent is likely to answer and can provide the digital survey questions to a respondent device of the respondent.

A method for signature extraction in a data management platform (DMP) includes receiving personally identifiable information (PII) data of customers from one or more clients at the DMP; generating non-PII data using the PI data; and building a signature for each of the customers using the non-PII data. The method further comprises generating a customer DNA for each customer, using the PII data and the signatures. The method further comprises generating segments for each customer using the PII data. The method further comprises generating segments for each customer using the non-PII data. The non-PII data comprises at least one of an ID (identifier), signature, psychographics, and demographics of each customer. The DMP is further configured to generate a signature of each customer. The signature is unique for each customer and the identity of the customer is not known.

System, device, and method for determining predicted annoyance level of multimedia content. A Predicted Annoyance Level (PAL) management unit processes content of frames of an endless-loop cinemagraph content-item, and determines a PAL score that indicates a predicted level of annoyance that the content-item is predicted to cause viewers due to motion of content in its content-item. The determining of the PAL score is based on comparison of content of pairs of frames of the endless-loop cinemagraph content-item; content of each frame of is compared to content of its immediately preceding frame, except for the first frame of the endless-loop cinemagraph content item which is compared to the last frame thereof. The PAL score is adjusted based on time-length and frame rate of the content item. Analysis of the PAL score triggers one or more notifications, alerts, or mitigation operations.

This specification describes technologies relating to content presentation. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of receiving ad information from a seller; generating, using one or more processors, a single conversion ad using the received ad information, where the single conversion ad has an available inventory of one such that only a single conversion of the ad can be performed; transmitting the single conversion ad to one or more potential buyers; receive an input from one of the one or more potential buyers; and notifying the seller of the user input. Other embodiments of this aspect include corresponding systems, apparatus, and computer program products.

Embodiments of a system method and computer program product for selecting an advertisement and presenting it to a user are described. Products and services offered by various merchants are read using a merchant specific catalog and stored in a common format. Categories for such products and services are normalized and virtual categories are created using various product attributes. Visual creatives, termed as ad-templates are created to control the visual and interactive aspects of the ad, including ad-size, color, as well as product attributes that are displayed in the ad. Ad-templates may be constrained to specific products or product categories. A learning algorithm uses an adaptive sampling process to sample various products, product categories and ad-templates independently for different learning units such as individual users, groups of users determined by some demographics, individual web pages and groups of web pages grouped using various similarity criteria. The performance of the ad is measured using various learning statistics, such as the click-through-rate, conversion rate, etc. The learning algorithm uses the learning statistics to optimize the return for the advertiser by favoring the products or categories that perform better on one or more specified criteria.

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.