ADVERTISEMENT DATA METRIC DETERMINATION WITHIN MOBILE APPLICATIONS

• US 20170345056A1
• Filed: 05/26/2017
• Published: 11/30/2017
• Est. Priority Date: 05/27/2016
• Status: Active Application

• Current Assignee: App Annie Inc.
• Original Assignee: App Annie Inc.
• Inventors: Chen, Yu, Kazakov, Andrey, Gannutin, Maxim, Kotsik, Vitali, Sudarshan, Swetha
• Application Number:
  US15/607,082
• Publication Number:
  US 20170345056A1
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

An advertisement analysis system generates reports that include ad share or spend information within mobile applications. The system identifies a list of mobile applications to track and scans for a known software development kit (SDK) code within each application. If a known ad network SDK is found, the advertisement analysis system simulates the mobile application by plugging in the application having the known SDK within a test application. The test application sends network requests to the ad network to determine a publisher-id pattern of the ad network. The advertisement analysis system searches for the determined pattern within each mobile application and stores it as a key. The advertisement analysis system sends requests to the ad network using stored keys, and extracts ad information from the responses of the ad network. The advertisement analysis system aggregates the ad information and generates an ad report that includes the ad share/spend information.

Claims

1. A method comprising:

identifying one or more mobile applications that are installed on a plurality of client devices;

identifying one or more ad network SDKs used by the one or more mobile applications to communicate with one or more ad networks;

identifying one or more keys associated with the one or more mobile applications installed on the plurality of client devices

determining, based on the identified one or more keys, ad information related to one or more advertisements presented to users of the plurality of client devices through the one or more mobile applications using the one or more ad networks;

generating one or more ad data metrics based on the determined ad information, the ad metrics describing how the one or more advertisements are presented to the users of the plurality of client devices; and

generating an ad creative report describing the one or more ad data metrics.

2. The method of claim 1, wherein the one or more mobile applications are identified based on a popularity of each of the one or mobile applications.

3. The method of claim 2, wherein the one or more mobile application are identified based on a rate of download from an app store of each of the one or more mobile applications.

4. The method of claim 1, wherein the ad network SDKs are identified by analyzing code associated with each of the one or more mobile applications.

5. The method of claim 1, wherein identifying the one or more keys comprises extracting one or more publisher identifiers from code associated with each of the one or more mobile applications.

6. The method of claim 1, wherein the ad information is determined by simulating each mobile application of the one or more mobile applications in a test environment.

7. The method of claim 6, further comprising:

transmitting one or more network requests to the one or more ad networks using the simulated mobile applications, each network request comprising one of the one or more keys.

8. The method of claim 7, further comprising:

receiving the one or more advertisements from the one or more ad networks in response to transmitting the one or more network requests.

9. The method of claim 7, further comprising:

determining an ad network request protocol for each ad network of the one or more ad networks.

10. The method of claim 1, wherein the ad data metrics includes an ad spend metric.

11. The method of claim 10, wherein the ad spend metric is determined based on an ad share metric and estimates of costs per installation or costs per impression associated with the one or more mobile applications.

12. The method of claim 1, wherein the ad data metrics include an ad share metric.

13. The method of claim 12, wherein the ad share metric is determined based on numbers of impressions of each of the one or more advertisements in the one or more mobile applications.

14. The method of claim 1, wherein the ad creative report includes at least one of:

a set of ad creatives corresponding to the one or more advertisements, an identifier for each of the one or more mobile applications, or identifiers for publishers of the one or more advertisements.

15. A non-transitory, computer-readable medium comprising instructions that, when executed by a processor, cause the processor to:

identify one or more mobile applications that are installed on a plurality of client devices;

identify one or more ad network SDKs used by the one or more mobile applications to communicate with one or more ad networks;

identify one or more keys associated with the one or more mobile applications installed on the plurality of client devices

determine, based on the identified one or more keys, ad information related to one or more advertisements presented to users of the plurality of client devices through the one or more mobile applications using the one or more ad networks;

generate one or more ad data metrics based on the determined ad information, the ad metrics describing how the one or more advertisements are presented to the users of the plurality of client devices; and

generate an ad creative report describing the one or more ad data metrics.

16. The computer-readable medium of claim 15, wherein the ad network SDKs are identified by analyzing code associated with each of the one or more mobile applications.

17. The computer-readable medium of claim 15, wherein the instructions for identifying the one or more keys comprise instructions that cause the processor to extract one or more publisher identifiers from code associated with each of the one or more mobile applications.

18. The computer-readable medium of claim 17, wherein the instructions further comprise instructions that cause the processor to:

transmit one or more network requests to the one or more ad networks using the simulated mobile applications, each network request comprising one of the one or more keys.

19. The computer-readable medium of claim 15, wherein the ad data metrics includes an ad spend metric.

20. The computer-readable medium of claim 15, wherein the ad data metrics include an ad share metric.