Example methods, apparatus, systems and articles of manufacture to implement calibration of convenience panel data to reduce behavioral bias are disclosed. Disclosed example apparatus include a distribution estimator to determine a first behavioral distribution for first convenience panel data associated with a first market and a measurement period, determine a second behavioral distribution for second convenience panel data associated with a second market and the measurement period, and determine a third behavioral distribution for probabilistic panel data associated with the second market and the measurement period. Disclosed example apparatus also include a distribution calibrator to calibrate the first behavioral distribution determined for the first convenience panel data associated with the first market based on (i) the second behavioral distribution determined for the second convenience panel data associated with the second market and (ii) the third behavioral distribution determined for the probabilistic panel data associated with the second market.

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.

Example embodiments of the disclosed technology implement a brand penetration determination system using image semantic content. A geographic sub-region determination system is configured to partition a geographic area into two or more sub-regions. An image content analysis engine is configured to determine, from images captured at one or more sites within each sub-region, a number of detections of a brand within each respective sub-region. A brand penetration index generation system is configured to generate a brand penetration index for each sub-region based on the number of detections of the brand in the respective sub-region weighted by one or more factors (e.g., population factor, category factor, etc.), which is stored in memory with an indicator of each respective sub-region. In splitting the geographic area into two or more sub-regions, the number and/or boundaries of sub-regions are determined so as to ensure that the population within each sub-region is above a threshold.

Methods, systems, and apparatus for defining, generating, utilizing, and/or detecting a geo-fence are described. A trigger is obtained, the trigger generated in response to a change in a geo-fence criteria. One or more boundaries of the geo-fence based on the geo-fence criteria are defined in response to obtaining the trigger.

A computer-implemented method for generating a classified map on a computing device includes: receiving statistical data associated with each zone of a plurality of zones; generating based on the statistical data at least one classification score for each zone of the plurality of zones by performing a latent factor analysis on the statistical data to generate at least one latent factor score; causing to be displayed a map of a geographic region having the plurality of zones on a display of a computing device; based at least partially on the at least one classification score, causing at least one classification tag to be overlayed over each zone of the plurality of zones on the map to generate the classified map. A system and computer program product for generating a classified map on a computing device are also disclosed.

Systems, methods and computer program products for forecasting future values of an item, where an initial value for the item is determined, and then a baseline forecast for a future reference period is computed based on factors that include microeconomic data which is specific to an industry of the item and macroeconomic data which is non-specific to the industry of the item. The forecast may also be adjusted based on data for a set of competitive items. The forecast for the item is stored and is then made available to clients that can access the forecast to determine the expected future value of the item at some point in the future.

Example methods and apparatus for associating media devices with a demographic composition of a geographic area are disclosed. A disclosed example method includes receiving a plurality of Internet Protocol addresses assigned to a media device associated with a panel member, determining a most used Internet Protocol address from the plurality of Internet Protocol addresses, accessing geographic information and determining a geographic location corresponding to the most used Internet Protocol address, accessing demographic information and determining a demographic profile associated with the geographic location, and associating at least one of the geographic location or the demographic profile with the media device.

In one embodiment, a method includes receiving a message comprising status data from a second computing device, determining that a geographic area is a hotspot based at least on the status data, where mobile users in a hotspot have a high probability of accessing an application on their mobile computing devices, and sending an indication that the geographic area is a hotspot to a third-party computing device, where the indication is used by the third-party computing device to determine a value for delivery of content to computing devices associated with the geographic area.

Disclosed herein are systems and methods that relate to wireless communication mesh network design and operation. In one aspect, the disclosed process may involve (1) obtaining potential-customer information related to a set of potential customers for a service to be provided through a wireless communication mesh network in an AOI, where the potential-customer information comprises both (i) information related to potential customers that are identified during a pre-marketing phase and (ii) information related to potential customers that are identified during a door-to-door marketing phase, and where the set of potential customers have a corresponding set of customer locations in the AOI, (2) evaluating the obtained potential-customer information and thereby identifying a subset of customer locations at which to deploy the wireless communication mesh network, and (3) generating and outputting information that facilitates deployment of the wireless communication mesh network at the identified subset of customer locations in the AOI.

Provided is a computer-implemented method that includes obtaining a user location dataset indicative of a location visited by a user, the user location dataset being based at least in part on a location signal received from a mobile computing device associated with the user, determining that the location visited corresponds to a geographic location of a place of interest, determining, using a computer, a visit count corresponding to the location dataset, adjusting a visit count for the place of interest to include the visit count corresponding to the location dataset, and storing the adjusted visit count for the place of interest in a visitation rate datastore.