A digital labor task system and method is provided. The system and method includes a deployable instance of a natural language understanding model supported by machine learning neural networks with access to one or more addressable email management suite. The system builds a prospect profile, builds a personality profile, generates an account list, generates messaging summary, and engages in a campaign. The system sends marketing materials and ingests and analyzes responses, replaying to incoming responses based on confidence score metrics from the natural language understanding model. The system further identifies actionable opportunities and notifies one or more user of the actionable opportunity.

Systems and methods for voice-based collection of statistical data are provided. An example method includes sensing, by an acoustic sensor, an ambient acoustic signal; determining, by one or more processors communicatively coupled to a user device and the acoustic sensor, that the user device has played a question prompting a user to answer the question; analyzing, by the one or more processors, the ambient acoustic signal to determine that the user has uttered an answer; converting, by the one or more processors, the ambient acoustic signal including the uttered answer into audio data; sending, via the user device, the audio data to a remote computing system; converting the audio data into text and at least one feature associated with the user; generating a record including the text and the at least one feature; and adding, by the remote computing system, the record to the statistical data.

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.

A method to create advertisement and sales trackability is provided. The method includes collecting a consumer data and retrieving, from a publishing server, a media data linking an audience with a content provided by the publishing server, the content including an advertisement for a product, and retrieving a retailer data indicative of a purchase track record of the product. The method also includes identifying one or more attributes of a population segment associated with the consumer data, the media data, and the retailer data, determining an adjustment factor indicative of a statistical data associated with the population segment, and generating, based on the adjustment factor, a measurement scheme to support a decision to modify, improve, or cancel a campaign. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

A method for conducting online opinion polls, the method including a poll registration stage, a poll definition stage, a poll distribution stage, a questionnaires elimination stage, a statistical analysis stage, a dispatching stage, and a remuneration stage comprising the steps of remunerating each respondent of the poll, and remunerating the system, where the remuneration of a respondent for participating the poll is in a form of a coupon sent to a residence of the respondent, thereby allowing detecting unreliable users such that if each registered user is authenticated, then if the same user is registered several times, his reliability is downgraded, and the system will stop offering him to participate in their polls.

This disclosure provides methods, services, and platforms that automatically prompt mobile phone users to add contact information to their phone book after a triggering event such as calling a phone number. The methods, services, and platforms allow mobile network operators to provide a service that allows businesses to potentially have their numbers added to the phonebook of a mobile phone after a disconnected call.

A system and a method for automatically collecting content, the method comprising the steps of: defining a plurality of content sites, creating a collection of virtual agents data including user characteristic data and user behavioral data, presenting the collection of virtual agents to the plurality of content sites; receiving content from the visited internet site; and storing the received content or presenting it to a user.

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.

The present invention relates to methods for evaluating the effectiveness of all types of communication carried on offline communication media so as to generate data equivalent to the data obtained in online communication media. The present invention uses tangible tools such as fixed-line telephones, cellphones, computers, tablets and any other wearable mobile device to generate that data that will be used in media plans that are much more precise and efficient than the plans currently known. Finally, the present invention relates to said media plan obtained using one of said methods as well as the purchase of optimized media.

A method for identifying, contracting, evaluating, bounding, and filtering out uncertainty in survey data is provided. The method includes: receiving survey responses with respect to a customer survey; constructing a simulated numerical model that replicates the structure of the original survey by using responses that are generated randomly from distribution of responses with constraint variability that specifically account for the uncertainty that arises from the subjective nature of sampling response from an ordinal range of possible options; matching between the original survey and the numerical model using a machine learning algorithm; and evaluating and filtering out the uncertainty of the original survey. In addition, a method is offered to constrain and contract the uncertainty by assigning survey responses to corresponding evenly distributed bins and by calibrating the survey responses by attaching a short textual description to each of the ordinal values in the original survey.