TikTok's "Invisible" Tracking of Grindr and Shopping Habits Sparks Massive GDPR Complaint
Open Grindr to check a message or buy a pair of sneakers on a niche e-commerce site, and TikTok might be watching—even if you don’t have the TikTok app installed on your phone.
The "Trojan Horse" in Your Apps
The complaint alleges that this code syphons data back to TikTok regardless of whether a user has consented to tracking. Most damning is the granularity of the data. The filing outlines how the SDK reportedly tracks login patterns on Grindr, allowing TikTok to infer a user’s sexual orientation—classified as "special category data" under GDPR, which requires explicit, watertight consent. Similarly, the complaint details how the code logs purchase history and session times on shopping apps to build granular consumer profiles.
This isn’t just about serving better ads; it’s about penetrating the private spheres of user life. While users might accept that TikTok knows which dance challenges they watch, few realize the company may know exactly when they are looking for a date or what they just bought on a completely different platform.
An Existential Threat to the Ad Model
For ByteDance, this is more than just another legal headache on top of recent €345 million fines for child safety lapses. This complaint targets the plumbing of the app economy. TikTok’s advertising engine relies heavily on "attribution"—proving to advertisers that an ad shown on TikTok led to a purchase or download elsewhere.
Denials and The Road Ahead
Both companies have moved quickly to contain the fallout. In a statement released yesterday, a TikTok spokesperson flatly rejected the allegations, asserting that their SDKs are designed for "legitimate business purposes" like ad measurement and operate with "clear consent mechanisms." The company insists it does not use the data to make sensitive inferences about sexual orientation.
Grindr, reporting 13 million monthly users, offered a similar defense, stating they do not share data without consent and rely on heavy encryption.