Leve seu aplicativo para o próximo nível com o Affise MMP (Mobile Measurement Partner)
Aderir agora ⚡
Back to Glossary

Hashed Device ID

i

A cryptographically hashed (obfuscated) version of a device identifier (GAID, IDFA) used for privacy-safe attribution.

Why Hashed Device IDs matter

Hashed Device IDs are used to balance attribution and privacy. They allow advertisers and measurement platforms to:

  • Recognize returning devices without exposing raw identifiers

  • Attribute installs, conversions, or events across channels

  • Reduce the risk of handling sensitive device level data

How Hashed Device IDs work

A Hashed Device ID is created by processing the original device identifier, such as an IDFA (Identifier for Advertisers) or Android Advertising ID, through a cryptographic hashing function. This converts the raw identifier into a fixed-length string that:

  • Can be shared and matched across platforms

  • Cannot be reversed or decoded back into the original identifier

  • Ensures user privacy while maintaining the ability to track engagement and attribution

This hashing process allows advertisers and MMPs to continue measuring user interactions, app installs, in-app events, and other key metrics while complying with privacy regulations such as GDPR and CCPA.

Hashed Device IDs in advertising and analytics

Hashed Device IDs are widely used in mobile advertising, attribution, and analytics, especially in environments where raw device identifiers are restricted or unavailable. Applications include:

  • Campaign performance tracking: accurately measure conversions, installs, and user engagement.

  • Cross-channel attribution: link user interactions across multiple ad networks or apps.

  • Fraud prevention: detect unusual activity without exposing raw device data.

  • Privacy-conscious targeting: serve relevant ads while respecting user privacy.

By enabling secure, anonymized tracking, Hashed Device IDs strike a balance between effective marketing measurement and user privacy. They allow advertisers to optimize campaigns, evaluate channel performance, and make data-driven decisions without compromising sensitive information.