A system and method including a downloadable application which forces to view targeted advertisements on their mobile device in order to gain access to use of the mobile device. The ads appear on a lock screen of the mobile device upon powering up or waking up of the mobile device. The user can take one of several actions with respect to the displayed ad and upon such action screen is unlocked and the user is provided with full function of the mobile device. The user can be incented for each action through the accumulation of points which can be used towards paying the user's phone bill or for receiving another reward.

A system and method including a downloadable application which forces to view targeted advertisements on their mobile device in order to gain access to use of the mobile device. The ads appear on a lock screen of the mobile device upon powering up or waking up of the mobile device. The user can take one of several actions with respect to the displayed ad and upon such action screen is unlocked and the user is provided with full function of the mobile device. The user can be incented for each action through the accumulation of points which can be used towards paying the user's phone bill or for receiving another reward.

Methods, apparatus, systems, and articles of manufacture to calibrate payload information are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry. The processor circuitry is to execute the instructions to obtain (a) passive measurement data and (b) background active measurement (BAM) data from panelists in a market of interest, the BAM data associated with network usage metrics of panelist wireless devices undisturbed by panelist behavior. The processor circuitry is also to execute the instructions to assign a first share of the passive measurement data and a second share of the BAM data to particular areas within the market of interest, the first share based on a number of passive measurement occurrences in a first one of the particular areas, the second share based on a number of BAM occurrences in the first one of the particular areas. The processor circuitry is also to execute the instructions to remove a bias between the passive measurement data and the BAM data by calibrating the BAM data for the market of interest using weights determined for the first one of the particular areas based on the first and second shares.

Methods, apparatus, systems, and articles of manufacture to calibrate payload information are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry. The processor circuitry is to execute the instructions to obtain (a) passive measurement data and (b) background active measurement (BAM) data from panelists in a market of interest, the BAM data associated with network usage metrics of panelist wireless devices undisturbed by panelist behavior. The processor circuitry is also to execute the instructions to assign a first share of the passive measurement data and a second share of the BAM data to particular areas within the market of interest, the first share based on a number of passive measurement occurrences in a first one of the particular areas, the second share based on a number of BAM occurrences in the first one of the particular areas. The processor circuitry is also to execute the instructions to remove a bias between the passive measurement data and the BAM data by calibrating the BAM data for the market of interest using weights determined for the first one of the particular areas based on the first and second shares.

Methods, apparatus, systems, and articles of manufacture to calibrate payload information are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry. The processor circuitry is to execute the instructions to obtain (a) passive measurement data and (b) background active measurement (BAM) data from panelists in a market of interest, the BAM data associated with network usage metrics of panelist wireless devices undisturbed by panelist behavior. The processor circuitry is also to execute the instructions to assign a first share of the passive measurement data and a second share of the BAM data to particular areas within the market of interest, the first share based on a number of passive measurement occurrences in a first one of the particular areas, the second share based on a number of BAM occurrences in the first one of the particular areas. The processor circuitry is also to execute the instructions to remove a bias between the passive measurement data and the BAM data by calibrating the BAM data for the market of interest using weights determined for the first one of the particular areas based on the first and second shares.

Methods, apparatus, systems, and articles of manufacture to calibrate payload information are disclosed. An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry. The processor circuitry is to execute the instructions to obtain (a) passive measurement data and (b) background active measurement (BAM) data from panelists in a market of interest, the BAM data associated with network usage metrics of panelist wireless devices undisturbed by panelist behavior. The processor circuitry is also to execute the instructions to assign a first share of the passive measurement data and a second share of the BAM data to particular areas within the market of interest, the first share based on a number of passive measurement occurrences in a first one of the particular areas, the second share based on a number of BAM occurrences in the first one of the particular areas. The processor circuitry is also to execute the instructions to remove a bias between the passive measurement data and the BAM data by calibrating the BAM data for the market of interest using weights determined for the first one of the particular areas based on the first and second shares.

Methods, apparatus, systems and articles of manufacture are disclosed to calibrate payload information. An example apparatus a data acquirer to obtain (a) passive measurement data and (b) background active measurement (BAM) data from panelists in a market of interest, the BAM data associated with network usage metrics of panelist wireless devices undisturbed by panelist behavior. The example apparatus further includes a share assignor to assign a first share of the passive measurement data and a second share of the BAM data to particular areas within the market of interest, the first share based on a number of passive measurement occurrences in a first one of the particular areas and the second share based on a second number of BAM occurrences in the first one of the particular areas, a weight calculator to determine weights for the first area based on the first and second shares, and a BAM calibrator to remove a bias between the passive measurement data and the BAM data by calibrating the BAM data for the market of interest using the weights.

Methods, apparatus, systems and articles of manufacture are disclosed to calibrate payload information. An example apparatus a data acquirer to obtain (a) passive measurement data and (b) background active measurement (BAM) data from panelists in a market of interest, the BAM data associated with network usage metrics of panelist wireless devices undisturbed by panelist behavior. The example apparatus further includes a share assignor to assign a first share of the passive measurement data and a second share of the BAM data to particular areas within the market of interest, the first share based on a number of passive measurement occurrences in a first one of the particular areas and the second share based on a second number of BAM occurrences in the first one of the particular areas, a weight calculator to determine weights for the first area based on the first and second shares, and a BAM calibrator to remove a bias between the passive measurement data and the BAM data by calibrating the BAM data for the market of interest using the weights.

A method of adding a value to a customer account is provided. A request to add a value to a customer account of a customer is received from a point of sale terminal. The request may comprise value identification data associated with the value and account identification data associated with the customer account. The customer account identification data may be entered at the point of sale. The request may be associated with a purchase of the value. The value may be caused to be added to the customer account. During subsequent value purchase transactions, additional value may be added to the account.

A method of adding a value to a customer account is provided. A request to add a value to a customer account of a customer is received from a point of sale terminal. The request may comprise value identification data associated with the value and account identification data associated with the customer account. The customer account identification data may be entered at the point of sale. The request may be associated with a purchase of the value. The value may be caused to be added to the customer account. During subsequent value purchase transactions, additional value may be added to the account.