In general, the subject matter described in the specification can be embodied in methods, systems and program products for a verified participant database system that verifies information on potential participants for surveys and promotions that require numerous participants with certain characteristics. Among other features, the verified participant database system aggregates and preferably verifies information, for example, the demographic and purchasing information, of potential participants by receiving permission to obtain information from third-party sources.

Systems and methods are disclosed for assisting users in assessing costs of transactions. For instance, method may include: determining a cost value of at least one transaction associated with a user; classifying the user into a category, based on consumer interest characteristics of the user and consumer interest characteristics associated with the category; determining a relatable product based on the consumer interest characteristics associated with the category, the relatable product being a product purchased by a plurality of persons classified in the category; determining a relatable cost value, the relatable cost value being a representation of the cost value of the at least one transaction using a quantity of the respective relatable product; and presenting the relatable cost value to the user.

Customers receive an incentive with use of an installed cellphone app to image an AR-bearing ad. Matches between data from the customer's accounts for each merchant are compared to the data in association with the customer's logical identifier for their cellphone, and particularly with each incidence of a rendering on their display screen of an AR view of a product advertisement containing the AR-triggering symbol to initiate the corresponding AR enhanced view of the ad. In conjunction with chronological time stamping of occurrences, a likelihood is derived that the customer's viewing of the AR enhanced product advertisement influenced the potential customer's subsequent purchase of the corresponding advertised product as evidenced within the potential customer's rich transactional data from the customer's debit and/or credit accounts. The certainty of each match is determined to further initiate the merchant's incentive to the customer which may be the merchant's donation to a community program.

An example apparatus disclosed herein includes a data input interface to access different sets of initial adjustment factors, the initial adjustment factors generated to correct at least one of misattribution or non-coverage of media impressions logged by a database proprietor, a grouping controller to identify a first set of the initial adjustment factors as a set of donor adjustment factors based on (a) first audience members associated with the set of donor adjustment factors satisfying a first threshold and (b) first impressions associated with the first audience members satisfying a second threshold, and identify a second set of the initial adjustment factors as a set of recipient adjustment factors, and an imputation factor generator to generate imputation factors to correct ones of the recipient adjustment factors based on ones of the donor adjustment factors.

Systems, methods, and apparatus are described herein for determining a location from anonymous data. For example, a computing device may receive anonymous data associated with a browser session initialized by a user via a browser on a user computing device. The computing device may determine that the user has not been assigned a unique identifier. The computing device may determine whether the user opted-in to location tracking. If the user opted-out of location tracking, the computing device may determine a latitude coordinate and a longitude coordinate of the user computing device during the browser session. The computing device may identify a physical address for the user based on the latitude coordinate and the longitude coordinate, for example, using a map application programming interface (API). The computing device may assign the unique identifier to the user. The computing device may associate the unique identifier to the physical address.

Users form custom-defined communities for performing a defined activity amongst themselves. An actor defines the activity and restrictions associated with the activity. Members of the community place requests for the actor to perform member-specific actions during the activity on behalf of the members. The actor performs the activity with the member-specific actions and arranges procurement of results associated with each of the members. The actor and the members may also settle up with one another at least upon procurement. The activity is crowd sourced within the custom-defined community, thereby reducing the need for the members to each individually perform the activity.

Methods for predicting an economic state and establishing an economic state prediction model and corresponding apparatuses, and relates to the technical field of big data are disclosed. A specific implementation solution is: acquiring, from map application data, geographic location point active data in N historical time frames before a to-be-predicted future time frame respectively for a to-be-predicted region, the N being a positive integer; and inputting feature vectors of the geographic location point active data in the N historical time frames before the to-be-predicted time frame into a pre-trained economic state prediction model, to obtain economic indicator data of the to-be-predicted region in the to-be-predicted time frame. An economic state of the to-be-predicted region in the to-be-predicted time frame can be predicted, thus providing a reference for policy making in advance.

A system for identifying digital devices of recipients on farms. The system has a database of information about disclosers including the address of their farms. The system also utilizes a location-based intelligence program adapted to identify digital devices. The system is characterised in that it uses the longitude and latitude of the farm address to identify the digital devices within a certain proximity to that farm address, dispatches messages to any digital device which comes within a certain proximity of the longitude and latitude of the farm address; and the system has a search facility to enable the user of the system to select any farms in the database with certain characteristic information supplied by the discloser.

A method, apparatus, and non-transitory computer readable medium for data analytics are described. Embodiments of the method, apparatus, and non-transitory computer readable medium include monitoring online activity corresponding to a plurality of users; receiving aggregate marketing data for a marketing activity; identifying online activity data for a time period corresponding to the marketing activity based on the monitoring; generating a regression model based on the aggregate marketing data and the online activity data using Bayesian regression, wherein the regression model represents a relationship between the marketing activity and the online activity, comprises a time effect coefficient, and is based on a prior distribution of the time effect coefficient that decays to zero as time increases; and estimating a treatment effect for the marketing activity on the online activity based on the regression model, wherein the treatment effect comprises a rate of effect decay.

Methods and systems for visualizing an inventory management and control. One method comprises receiving and aggregating inventory data from a plurality of nodes of a retail enterprise, scheduling a plurality of purchase orders for at least one item type based on the inventory data, generating inventory projections for the at least one item type based on the inventory data and the plurality of purchase orders, and rendering on a display, as part of a visualization tool user interface, a graphical view representing the inventory projections for the at least one item type, wherein the graphical view automatically updates based on inputs received for adjusting at least one purchase order of the plurality of purchase orders and inputs received for selecting at least one node or at least one group of nodes from the plurality of nodes.