The book grades 50 apps. The pattern does not stop at 50. Once you can see the playbook, you can spot it everywhere. Here are the adjacent categories running the same model, grouped by the chapter that already explains it.
Any free utility that asks for location is a candidate: flashlight apps, QR scanners, coupon apps, parking finders. The product is free because the location feed is the product. If a simple tool wants background location, ask what it is funding.
The wearables category as a whole, smart rings, watches, sleep trackers, and connected scales, collects heart rate, sleep, and cycle data. The data is health-grade, but most of it sits outside the protections people assume cover anything medical.
Connected-vehicle telematics is an industry standard, not a single brand's choice. Many modern cars collect location and driving behavior and have relationships with insurers and brokers. The FTC's 2026 order against GM and OnStar set a marker the rest of the industry is now reading carefully.
Kochava is one name in a market of hundreds. People-search sites, identity-graph vendors, and ad-tech middlemen all assemble and sell profiles. Banning one broker raises the floor; it does not empty the market. Knowing the category exists is half the defense.
Every major platform now runs a recommendation engine tuned for watch time. The mechanics that learn your attention on one app are the same mechanics on the next. Switching apps does not switch off the optimization.
Encrypted contents do not mean private metadata. Across messaging apps, who you talk to, how often, and from where can still be logged and analyzed even when the message body cannot be read. Encryption protects the letter, not the envelope.
