Deterministic Matching

Deterministic matching uses unique identifiers to accurately match users across devices and platforms.

Why it matters

Ensures precise user identification.
Improves cross-device tracking accuracy.

How to measure

Match rate of identifiers.
Consistency over time and across platforms.

Details

Deterministic matching relies on unique identifiers such as email addresses, phone numbers, or user IDs to connect user activity across different devices and platforms. This method is highly accurate because it uses explicit data provided by users, ensuring that the same user is recognized regardless of the device they are using. In mobile contexts, deterministic matching is crucial for delivering personalized experiences and accurate attribution.

Mobile engineers and growth teams leverage deterministic matching to enhance user engagement and retention by ensuring that interactions are consistent and relevant. This approach is particularly effective in environments where privacy regulations permit the use of personal identifiers.

Examples & formulas

An example of deterministic matching is linking a user's app activity on a smartphone with their web activity on a desktop using their email address as a common identifier.

Common mistakes

Relying solely on deterministic data in regions with strict privacy laws; ensure compliance with local regulations.
Overlooking data quality; ensure identifiers are accurate and up-to-date.