Ring tried to tell a feel-good story. Help find a lost dog. The backlash was immediate.
What People Actually Saw
Ring's Super Bowl ad was designed to show the product doing something good. But people didn't see a feel-good story. They saw something else entirely.
- ▶It felt like surveillance. If it can find a dog, it can find anything.
- ▶Consent was missing. The feature was on by default.
- ▶Trust was already thin. Big tech doesn't get the benefit of the doubt anymore.
The intent was good. The perception was not. And perception is what drives backlash.
Healthcare Advertising Lives in That Same Reality
Because in healthcare, surprise sounds like one sentence:
"How did they know that about me?"
That sentence is the risk. Not a regulatory filing. Not a fine. A person seeing an ad for a condition they've never told anyone about, and immediately wondering who is watching them.
That moment of surprise is where trust collapses. And in healthcare, trust is everything.
The Simplest Test in Healthcare Advertising
If a patient complained and a journalist called, could you explain why that person saw the ad in one sentence that the average person would say is reasonable?
If your answer involves words like AI, models, predict, or infer—you have a problem.
If you cannot explain it simply, people will assume the worst.
Why This Is Also a Legal Standard
This isn't just a PR concern. State privacy laws have embedded consumer expectations directly into the legal standard. Several states require that data practices align with what a reasonable person would expect.
Surprise is not just bad optics. In some states, it is grounds for enforcement.
The Ring ad failed the one-sentence test. Most predictive health audience methods would too.
The Takeaway
Surprise is the risk. Not just for Ring. For any brand that uses data people didn't expect to share.
In healthcare, that bar is even higher. Patients are not expecting to be targeted based on what a model thinks they might have. And when they are, the reaction is not confusion. It's suspicion.
The solution isn't to hide how audiences are built. It's to build them in ways you'd be comfortable explaining out loud.