How Kickbite Tracking Works

You can have the most intelligent attribution model, but if tracking is broken, all is broken. Kickbite uses a 4-layer tracking system to reconstruct customer journeys as accurately as possible. This tracking system is installed on the website of the customers.

Important:

Kickbite only tracks users who have given consent.

The goal of the system is simple:

Identify users across sessions and devices, build journeys, and reconnect broken journeys. This is the base for the AI attribution models from Kickbite.

The first layer is local storage, based on directory files from the browser cache.

This method is very sticky and works well for keeping track of users on the same device over time.

Strength

Limitation

For cross-device identification, Kickbite uses third-party cookies and platform IDs from sources such as. For cross-nrowser Kickbite uses its own cookie.

These platforms are often very good at cross-device and cross-domain recognition because users are frequently logged into the same email account across devices.

Strength

Limitation

The third layer is fingerprinting.

This helps identify users when other identifiers are missing or incomplete.

It acts as an additional signal to improve journey reconstruction.

Strength

The fourth layer is product behavior matching.

Kickbite stitches sessions together when there is high confidence that they belong to the same user based on:

Example:
If a user browses a specific set of products in one session and later buys those same products in another broken session, Kickbite can reconnect those journeys.

Strength

Customer journeys often break because of:

Kickbite solves this by combining multiple signals instead of relying on only one method.

This creates a stronger foundation for attribution and helps reduce the amount of revenue that would otherwise fall into: