Fingerprinting attribution is a method of tracking users based on non-unique device signals, such as IP address, device type, operating system, browser version, and other hardware or software characteristics. Unlike device ID tracking, fingerprinting does not rely on a unique identifier, but instead creates a probabilistic profile to attribute app installs, conversions, or user actions.<\/p>\n
Fingerprinting attribution is often used when traditional identifiers are unavailable or restricted due to privacy regulations. It allows marketers and Mobile Measurement Partners (MMPs) to continue tracking user activity, measure campaign performance, and attribute installs or conversions even in privacy-conscious environments.<\/p>\n
Works without a unique device ID<\/p>\n<\/li>\n
Useful in privacy-focused environments or restricted tracking conditions<\/p>\n<\/li>\n
Can track users across multiple apps or websites probabilistically<\/p>\n<\/li>\n
Supports attribution when other identifiers are unavailable<\/p>\n<\/li>\n<\/ul>\n
Less accurate than deterministic tracking methods<\/p>\n<\/li>\n
Can result in duplicate or missed attributions due to shared or changing device signals<\/p>\n<\/li>\n
Susceptible to errors from VPNs, network changes, or device spoofing<\/p>\n<\/li>\n
Provides probabilistic rather than definitive user identification<\/p>\n<\/li>\n<\/ul>\n","protected":false},"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false},"class_list":["post-58519","glossary-term","type-glossary-term","status-publish","hentry"],"acf":[],"yoast_head":"\n