Technical writing and strategic analysis for beauty brand e-commerce leads, digital directors, and founders building DTC storefronts.
I spent years helping beauty brands find virtual try-on solutions. Most were too expensive, too slow, or too inaccurate for anything outside the lightest shade ranges. Here's what I learned — and why I decided to build the alternative.
Shade mismatch is the top reason shoppers return lip and foundation products. We looked at the data and what brands can realistically do about it.
Shoppers who try on a shade are significantly more likely to add to cart. We walk through the mechanism, the data, and what it means for your product pages.
Most AR try-on systems were built for lighter skin tones first — and it shows. Here's what the Fitzpatrick scale means for rendering, and how we think about it.
From storefront speed to shade visualization to post-purchase UX — a practical checklist for independent beauty brands building or upgrading their digital presence.
The fastest AR try-on is useless if the shade looks wrong on screen. We break down the undertone classification pipeline and why we prioritize precision over raw frame rate.
A practical walkthrough of connecting LumeCore to a Shopify product page — from script tag placement to shade catalog setup to testing across devices.
Over 70% of beauty e-commerce sessions are on mobile. Here's what mobile-first AR try-on actually requires in terms of performance, UX, and camera API constraints.
