TY - GEN
T1 - A method for mobile download conversion rate measurement based on device fingerprinting
AU - Schuch, Alexander
AU - Holzmann, Clemens
AU - Lettner, Florian
N1 - Copyright:
Copyright 2014 Elsevier B.V., All rights reserved.
PY - 2013
Y1 - 2013
N2 - Users download mobile applications after being drawn to the application stores, including referrals from advertising campaigns on websites. To determine if a mobile application install originates from a specific campaign, mobile devices need to be uniquely identified before referral to the mobile application store and after a successful install. However, the mobile sandbox environment makes it impossible to exchange device identifiers between a mobile web browser and other mobile applications on the same device. This paper introduces an alternative approach that makes it possible to create identifiers based on measurable device characteristics. The proposed use of device fingerprinting allows to uniquely identify devices even across multiple mobile applications and regardless of the mobile operating system. The presented comparison algorithm is capable of finding two independently created identifiers that were measured on the same mobile device, which makes it possible to determine successful mobile application installs that originated from a specific website.
AB - Users download mobile applications after being drawn to the application stores, including referrals from advertising campaigns on websites. To determine if a mobile application install originates from a specific campaign, mobile devices need to be uniquely identified before referral to the mobile application store and after a successful install. However, the mobile sandbox environment makes it impossible to exchange device identifiers between a mobile web browser and other mobile applications on the same device. This paper introduces an alternative approach that makes it possible to create identifiers based on measurable device characteristics. The proposed use of device fingerprinting allows to uniquely identify devices even across multiple mobile applications and regardless of the mobile operating system. The presented comparison algorithm is capable of finding two independently created identifiers that were measured on the same mobile device, which makes it possible to determine successful mobile application installs that originated from a specific website.
KW - Algorithms
KW - H.3.5 [Information Storage and Retrieval]: Online Information Services - commercial services, web-based services
KW - I.5.5 [Pattern Recognition]: Design Methodology - feature evaluation and selection
KW - Measurement
UR - http://www.scopus.com/inward/record.url?scp=84897628207&partnerID=8YFLogxK
U2 - 10.1145/2536853.2536885
DO - 10.1145/2536853.2536885
M3 - Conference contribution
SN - 9781450321068
T3 - ACM International Conference Proceeding Series
SP - 424
EP - 433
BT - Proceedings - 11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013
T2 - 11th International Conference on Advances in Mobile Computing and Multimedia, MoMM 2013
Y2 - 2 December 2013 through 4 December 2013
ER -