Nice-to-have
It replaces counter try-ons and guesswork when picking shades, so the need is real; but $52 a month signals tiny paying volume, and beauty analysis looks more like one-off curiosity than an ongoing must-have, leaving retention in doubt.
Real-revenue cases
Glimora
Nice-to-haveAn AI beauty app on iOS and Android that analyzes users' faces, skin tone and undertone, offers virtual makeup try-ons and a Glow Score, earning about $52 a month from subscriptions or in-app purchases.
- Monthly revenue
- $52 / mo
- Primary source
- View original
01
Real-demand verdict
End users pay for the beauty-analysis features through App Store / Google Play subscriptions or in-app purchases; Stripe-verified revenue is $52 a month.
In-store shade matching, sales-associate recommendations, and trial-and-error buying
02
Where the first customers came from
Not mentioned in the source material
03
Tactics you can copy
- 01Turn the analysis into a shareable score (Glow Score) so users post it and bring in traffic
- 02Lead with instant virtual try-on so first-session drop-off stays low
- 03Split skin tone, undertone, eyes, brows and lips into separate analyses to create reasons to come back
Moving it to an AI business
For AI app builders, the transferable move is packaging model output as a shareable score or label: analysis-type AI products rarely drive repeat purchase on their own, but turning results into social currency buys cheap acquisition.
04
Evidence and limits
Stripe-verified
Revenue basis · Stripe-verified (TrustMRR)
What evidence is missing
The source body is empty apart from a one-line summary; no user numbers, conversion or retention data
The $52/month figure doesn't reveal whether it's subscription or one-off purchases, nor the number of paying users
First-customer source and acquisition method are missing, so replicability can't be verified
Primary source