You took the plunge about the iPhone X and you’re not even sure if you’re supposed to say iPhone X or iPhone ten.
But what’s the big difference between this model and the one you had before collecting a new monthly payment added to your stack of bills?
Facial recognition is the big difference. Are you unlocking your phone or is it unlocking you? This could bring in a new era for marketers. Since the announcement of the iPhone X, facial recognition has quickly become the topic of dinner conversations everywhere. Facial recognition used to be reserved for top secret labs or something you saw the President use in a movie. But now we have access to it as well (celebrities, they’re just like us!)
While this feature is marketed as a security function for unlocking your phone, a consumer device used by the masses is a seriously powerful technology.
It is said 90% of personal communications is nonverbal. Every day there are instances where we don’t understand the nonverbal cues of the person on the other end of our screens. We use emojis and GIFs to try and share emotion within our digital interactions.
For all of us in the communications business, we know good experiences lead to trust and loyalty while bad experiences lead to brand rejection. So what could we do as marketers if we were able to obtain real-time reactions from a consumers? Imagine a world where we have access to consumer’s facial expressions and emotional cues in reaction to products and brands?
If we could access the facial cues from patients waiting for an extended time in the emergency room? The excitement on someone’s face when they try out a restaurant’s new dish. Or the skepticism on your face when you’re indulging in a purchase you shouldn’t be.
Currently, Apple is keeping detailed facial recognition data local on the phone and not storing it on its servers. App makers can use the iPhone X, with the user’s permission, to read a rough map of a stream of facial expressions. While Apple may never store this information for public use, it’s interesting to think about a world where we design advertisements based on the most unique human feature. This technology would tell us more about our consumers than we’ve ever known before.