SYSTEMS AND METHODS FOR EVALUATING ADVERTISING METRICS
Systems and method for evaluating advertising metrics are disclosed and described.
1 . A computerized system to evaluate advertising metrics, the computerized system comprising at least one subsystem that:
receives advertising metrics from an application handling advertisements;
augments the advertising metrics with data from an advertising client; and
validates the advertising metrics.
2 . The computerized system of claim 1 further comprising at least one subsystem that determines a level of trustworthiness for the application.
3 . The computerized system of claim 1 further comprising at least one subsystem that determines a level of trustworthiness for the advertising metrics.
4 . The computerized system of claim 1 , further comprising at least one subsystem that:
determining a level of trustworthiness for the application;
determining a historical level of trustworthiness for the advertising metrics;
and refining the level of trustworthiness for the application based on the historical level of trustworthiness of the advertising metrics.
5 . A computerized method of evaluating advertising metrics, the method comprising:
receiving advertising metrics from an application handling advertisements;
examining a level of trustworthiness for the application; and
validating the advertising metrics if the level of trustworthiness is not sufficient.
6 . The computerized method of claim 5 , further comprising augmenting the advertising metrics with data from an advertising client.
7 . The computerized method of claim 5 wherein the level of trustworthiness is a numeric value selected from a range of numbers representing different levels of trustworthiness.
8 . The computerized method of claim 5 further comprising comparing the level of trustworthiness for the application to a trustworthiness threshold to determine if the level of trustworthiness for the application is sufficient.
9 . A computerized system comprising at least one subsystem that:
determines whether an application is trusted or untrusted; and
assigns a level of trustworthiness to the application.
10 . The computerized system of claim 9 further comprising at least one subsystem that uses a Boolean attribute to represent whether an application is trusted or untrusted.
11 . The computerized system of claim 9 , further comprising at least one subsystem that:
maintains a list of IDs for the applications that are trusted; and
checks the list of IDs to determine if the application is trusted or untrusted.
12 . The computerized system of claim 9 , further comprising at least one subsystem that:
receives a list of IDs for the applications that are trusted; and
checks the list of IDs to determine if the application is trusted or untrusted.
13 . The computerized system of claim 12 wherein the list of IDs are received from an advertising service provider.
14 . The computerized system of claim 9 wherein the list of IDs are received at runtime.
15 . The computerized system of claim 9 , wherein the application is trusted if the application has a certificate issued by a certification authority trusted by an advertising service provider.
16 . The computerized system of claim 9 , further comprising at least one subsystem that receives from the application a validation URL for a certification authority to confirm whether the application is trusted or untrusted.
17 . A mobile device adapted to determine a level of trustworthiness, the mobile device comprising:
a processor;
a memory to store instructions, the instructions when executed cause the processor to
receive information about an application; and
apply heuristics to the information to determining a level of trustworthiness for the application.
18 . The mobile device of claim 17 wherein receiving information is performed during registration of the application with an advertising client.
19 . The mobile device of claim 17 wherein the information comprises a source of the application.
20 . The mobile device of claim 17 wherein the information comprises an ID for an advertising service provider associated with the application.
21 . The mobile device of claim 17 wherein the information comprises one or more properties of the application.
22 . The mobile device of claim 17 further comprising representing the level of trustworthiness with a trustworthiness value.
23 . A machine-readable medium having stored thereon instructions to cause a computer to perform a method of reporting advertising metrics, the method comprising:
receiving advertising metrics from an application;
creating an augmented report comprising the advertising metrics provided by the application and advertising metrics locally available at an advertising client; and
transmitting the augmented report to an advertising server.
24 . The machine-readable medium of claim 23 wherein the augmented report further comprises an indication whether the application is trusted or untrusted.
25 . The machine-readable medium of claim 24 wherein the augmented report further comprises a level of trustworthiness for the application.
26 . The machine-readable medium of claim 24 wherein the augmented report further comprises a level of trustworthiness for the metrics report.
27 . The machine-readable medium of claim 24 wherein the augmented report further comprises an indication whether heuristics were performed to evaluate the trustworthiness of the metrics report.
28 . The machine-readable medium of claim 24 wherein the augmented report further comprises an indication whether the metrics report was discarded after validation.
29 . A method of validating a metrics report from an application, the method comprising:
receiving an Ad Application report from an application;
retrieving a trustworthiness value for the application; and
using the trustworthiness value for the application and applied heuristics to determine a trustworthiness value for the Ad Application report.
30 . The method of claim 29 wherein the applied heuristics comprise validating the metrics report against an application manifest available to an advertising client or to an advertising server.
31 . The method of claim 29 wherein the applied heuristics comprise validating the metrics report against a count of advertisements passed to the application by the advertising client.
32 . The method of claim 29 wherein the applied heuristics comprise validating the metrics report against a frequency or a quantity of advertising actions reported.
33 . The method of claim 29 wherein the applied heuristics comprise validating the metrics report against a report validation history for the application.
34 . The method of claim 29 wherein the applied heuristics comprise validating the metrics report against metadata for one or more advertisements.