A facility for generating analytical information based on individual reports of multiple scheduled presentations of interstitial media assets is provided. Data files are received, each including multiple status reports regarding multiple scheduled presentations of multiple media assets by a plurality of distinct media receiver devices in multiple disparate locations. The data files are decrypted, such that the decrypted one or more data files include, for each of the multiple status reports, at least a media asset identifier and a presentation status indicator, and parsed to generate one or more database entries containing information regarding the scheduled media presentations and the plurality of distinct media receiver devices. One or more user interfaces are provided to allow execution of queries based on the generated one or more databases.

A computing system compares various reference fingerprints each representing a reference media stream broadcast on a different respective known channel, and the computing system determines that a plurality of the reference fingerprints match each other, thus defining a multi-match group of the matching reference fingerprints. In response, the computing system identifies a fingerprint feature that could define a distinction between the reference fingerprints, and the computing system resolves the multi-match based on the identified feature, thereby determining the channel carrying the media stream being rendered by the media presentation device. And the computing system could then take channel-specific action based on the determined channel.

A computing system compares various reference fingerprints each representing a reference media stream broadcast on a different respective known channel, and the computing system determines that a plurality of the reference fingerprints match each other, thus defining a multi-match group of the matching reference fingerprints. In response, the computing system identifies a fingerprint feature that could define a distinction between the reference fingerprints, and the computing system resolves the multi-match based on the identified feature, thereby determining the channel carrying the media stream being rendered by the media presentation device. And the computing system could then take channel-specific action based on the determined channel.

Methods, apparatus, systems, and articles of manufacture are disclosed to locate persons based on adjustable signal strength thresholds. Example instructions cause processor circuitry to at least collect monitoring area information for a monitoring environment. Example instructions additionally cause the processor circuitry to determine, based on the monitoring area information, one or more one or more signal strength thresholds to set for one or more radio frequency (RF) beacons deployed to the monitoring environment. In some examples, example instructions cause the processor circuitry to, after reception of monitoring information from one or more devices in the monitoring environment, process the monitoring information and the one or more signal strength thresholds to determine one or more locations of the one or more devices in the monitoring environment.

Methods, apparatus, systems and articles of manufacture are disclosed selectively generating and storing hashed reference signatures. An example method disclosed herein determining whether watermark coverage of a first media segment satisfies a dropout constraint, the first media segment corresponding to a first monitoring time interval of a media source feed and, when the watermark coverage of the first media segment does not satisfy the dropout constraint hashing first media signatures associated with the first media segment to generate corresponding first hashed signatures and generating first reference data for the first media segment, the first reference data including the first hashed signatures and the first media signatures. The example method further includes, when the watermark coverage of the first media segment satisfies the dropout constraint, generating second reference data for the first media segment, the second reference data including the first media signatures.

Content synchronization with over-the-air radio transmissions captures user engagement and telemetry data. User engagement data creates a closed-loop feedback with over-the-air content and is tracked. User engagement and telemetry data feeds machine learning algorithms for radio station advertising effectiveness and programming refinement. User telemetry data identifies the listener radio receiving device. Machine learning applied to over-the-air advertising content categorizes ads for correlation with user behavior profile and ad effectiveness. Prediction models predict listener demographics and user engagement with advertising content in anonymous and registered mode. Over-the-air advertisements are synchronized with ad content provided to broadcast listeners on an electronic user device. Ad content may be listed, searched, and acted on by telephone, email, website click-through, including special ads and coupons targeted to users based on telemetry and user profile and behavior.

Content synchronization with over-the-air radio transmissions captures user engagement and telemetry data. User engagement data creates a closed-loop feedback with over-the-air content and is tracked. User engagement and telemetry data feeds machine learning algorithms for radio station advertising effectiveness and programming refinement. User telemetry data identifies the listener radio receiving device. Machine learning applied to over-the-air advertising content categorizes ads for correlation with user behavior profile and ad effectiveness. Prediction models predict listener demographics and user engagement with advertising content in anonymous and registered mode. Over-the-air advertisements are synchronized with ad content provided to broadcast listeners on an electronic user device. Ad content may be listed, searched, and acted on by telephone, email, website click-through, including special ads and coupons targeted to users based on telemetry and user profile and behavior.

A method for broadcasting a data stream in at least one broadcast network. The method includes inserting, into the data stream, at least one identifier associated with at least one broadcast area of the broadcast network used to broadcast the data stream. The at least one identifier is transmitted in signalling information of an application to be executed by at least one receiver of the data stream.

Systems and methods for evaluating a customer premise equipment (CPE) device to determine whether it is being used to perpetuate theft of service (TOS). A computing system may be configured to collect raw data from a customer premise equipment (CPE) device associated with a subscriber account, determine TOS features based on the collected raw data, determine a risk score for the CPE based on the TOS features, determine whether the risk score exceeds a threshold value, and classifying the CPE device as a TOS device in response to determining that the risk score exceeds the threshold value.

Methods, apparatus, systems, and articles of manufacture to monitor media are disclosed. An example apparatus includes first means for performing a first mapping of a first media identifier and timestamp to a second media identifier in a look-up table (LUT), the first media identifier and timestamp based on media obtained from a server, the first media identifier to identify the media, means for determining a third media identifier and a second timestamp based on media monitoring information (MMI) obtained from the server, the MMI obtained from the server in response to an access of the media identified by the third media identifier by a media device, second means for performing a second mapping of the third media identifier and the second timestamp to the first media identifier and timestamp in the LUT, and means for crediting access of the media to the media device based on the second mapping.