Research: Commercial Data Collection by TikTok & Meta Pixels

Research Deep Dive: Commercial Data Collection by TikTok and Meta Pixels

Most businesses view tracking pixels as harmless tools for ad attribution. However, Jscrambler’s latest research reveals a more invasive reality: TikTok and Meta pixels are quietly harvesting granular customer information, checkout interactions, and product-level data, often before a user even grants consent.

This overcollection of data doesn't just threaten compliance; it hands your most valuable commercial data directly to global advertising platforms.

In this session, we examine real-world evidence of data-harvesting practices used by TikTok and Meta, as identified by the Jscrambler research team.

Our analysis breaks down the technical aspects of how these data collection methods operate, including how pixels can bypass consent systems and turn "anonymous" browsing into persistent user profiles. Additionally, we provide technical strategies to help regain control on the client side without compromising business performance.

Watch now!

Following the session, you’ll walk away with:

The Reality of Shadow Profiling: How pixels use deterministic hashing to reconstruct identities from emails and phone numbers.
The Consent Gap: Evidence of pixels transmitting sensitive data before a user opts in or even after they "Reject All."
The Commerce Leak: Why sharing cart values and product mix with ad platforms creates a competitive disadvantage.
Runtime Governance: Practical strategies to block unauthorized data exfiltration and ensure GDPR/CCPA compliance.