When the try-before-you-buy moment happens on your phone camera.
Foxtale is a Series C-funded Indian skincare brand that built its reputation on science-backed products for Indian skin types. To deepen personalization and help customers find their perfect products through AI-powered skin analysis, the brand integrated AR technology and a quiz-based skin assessment into their mobile app.
We integrated Fynd's Glam AR technology for AI-powered skin analysis and built a personalized quiz that delivered tailored skincare recommendations. After data-driven optimization of the initial low-completion quiz, we achieved a 333% improvement in completion rates, a 40% increase in conversion for users who completed the quiz, and a 25% higher average order value through personalized bundle recommendations.
Three people needed the AR skin analysis to solve a real problem — a customer who didn't know which serum to choose, a product manager whose quiz wasn't completing, and a growth lead who needed AR to prove its commercial value.
Skincare shoppers with specific concerns like combination skin or hyperpigmentation struggled to identify the right product from a wide range of options and frequently purchased the wrong serum. The absence of personalized guidance made confident product selection difficult.
🧴 Customers overwhelmed by product options unable to identify their right skincare routineProduct managers saw a quiz with 12-15% completion and knew that users who finished it converted at a meaningfully higher rate — but the drop-off was happening mid-flow and the specific point of abandonment was unknown. High potential was being stranded behind a broken experience.
📉 12-15% quiz completion rate — most users abandoning before personalized recommendationsGrowth leads faced the challenge of justifying a significant AR development investment with measurable commercial outcomes. Without clear uplift in conversion rate and average order value, the feature risked being classified as an engagement novelty rather than a revenue driver.
🎯 AR feature needing measurable commercial ROI to justify the development investmentFoxtale's initial personalized quiz had the right premise — help customers understand their skin concerns and recommend the right products — but the execution wasn't completing. With 12-15% quiz completion, Divya's team was seeing strong conversion signals from completers but couldn't fix the experience without understanding exactly where users were leaving. The data showed the potential; the UX wasn't delivering it.
Karan's ROI question was legitimate. AR technology is a meaningful investment, and the integration of Fynd's Glam AR into the existing app architecture required a tight 15-day delivery window. If the AR skin analysis improved quiz completion and drove conversion and AOV uplift, it would prove its value. If it was a novelty that users tried once and abandoned, it would be an expensive experiment. The optimization needed to be rigorous and the measurement clear.
“A personalization feature with proven commercial potential — and a completion rate low enough to hide that potential from most users.”
We gave Tara an instant skin analysis she trusted, gave Divya the drop-off data she needed to optimize, and gave Karan the commercial proof that AR was a business feature, not a novelty.
Integrated Fynd's Glam AR technology enabling AI-powered skin analysis from the phone camera — detecting skin concerns, tone, hydration level, and specific conditions that inform personalized product recommendations.
Human-CentricityDelivered the complete AR skin analysis and personalized quiz feature from concept to production in 15 days — maintaining momentum and user excitement around the feature without a drawn-out development cycle.
ResilienceSystematically analyzed user drop-off points using question-level analytics — identified the specific quiz moments causing abandonment, streamlined question flow, improved UX/UI for those steps, and tested iteratively until completion rates reached 50%.
SustainabilityBuilt recommendation logic connecting AR skin analysis results and quiz answers to specific Foxtale products and bundles — Tara's hyperpigmentation concern surfaces the right serum with supporting products for a complete routine.
Human-CentricityDesigned the recommendation presentation to surface product bundles — complete routines rather than individual items — driving the 25% AOV improvement through the natural logic of a comprehensive skincare regimen.
SustainabilityImplemented analytics segmenting conversion rates and AOV by quiz completion status — giving Karan the before/after evidence that AR skin analysis and personalized quiz completion drove measurably better commercial outcomes.
ResilienceTara points her phone camera and gets an instant analysis of her skin concerns — hyperpigmentation confirmed, recommended routine displayed, complete bundle ready to add to cart. The personalization isn't a quiz result; it's a clinical-feeling assessment that builds purchase confidence.
Divya's iterative optimization turned a 12-15% completion rate into 50% — each drop-off analysis revealing a specific UX friction that a targeted fix resolved. Question-level analytics transformed a feature with potential into a feature that delivered on it.
Karan's AR investment is validated with commercial data: 40% higher conversion, 25% higher AOV, and a 333% improvement in the completion rate that activates both. The feature drives more revenue per user than any other in the app.
The AR skin analysis creates a competitive advantage that generic skincare browsing cannot replicate — a customer who has been analyzed and recommended a specific Foxtale routine is significantly less likely to switch to a competitor's generic recommendation.
AI-powered skin analysis and personalized recommendation quizzes for skincare and beauty brands — built to drive completion, conversion, and AOV, not just engagement.