Debloat AI · B2C · face debloating app
Scan the user's face and show a harsh bloat rating just before the paywall
Founder says it worked well; no numbers
Workedonboardingpaywall
What they did
Onboarding asks the user to take a face picture before the paywall (sunk cost), then shows a slightly exaggerated bloat rating ('you're really bloated... you have to fix it now') followed directly by the paywall. Framing is aimed at the user's insecurity; social proof also used.
What happened
'One of the things that worked well for us'; not quantified.
In their words
The Superwall Podcast · Rafael Kramer - this 14 yr old makes $100k/mo PROFIT building apps with ai (here's how)“one of the things that worked well for us was just like doing the face scan before the actual paywall. So, you would kind of have the sunk cost fallacy of actually, you know, taking the picture.”
“We actually showed the rating and then it was like a little bit exaggerated. So, it was like, "Okay, you're really bloated, and then, you know, here, you have to fix it now." And then that would be like the the actual paywall.”
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