Talk to salesBeauty Insights
Turn Personalization Data into Revenue Intelligence
Beauty Insights is an AI-powered analytics platform designed for beauty retailers, department stores, and specialty beauty e-commerce to understand how customers interact with personalized beauty discovery experiences.
By analyzing engagement across tools like AI Skin Analysis, Fragrance Finder, Foundation Matching, our data reveals exactly which products customers click, which brands they prefer, and what drives add-to-cart behavior.
Trusted by
Industry Leaders
Real-Time Beauty Intelligence & Insights
- AI Persona Intelligence
Automatically builds AI-generated shopper personas based on real customer interactions. - Competitor Analysis
Stay ahead of the competition by tracking their products and market share. - Performance Overview
Track how personalization tools perform across your storefront. The Performance Overview Dashboard provides a real-time snapshot of how customers interact with AI-powered beauty tools across your site. - Product Performance Intelligence
Understand exactly which products perform best within AI-driven discovery journeys.
Features
Powered by the Beauty Industry’s Most Advanced Data Foundation
Beauty Insights is powered by the Inference Beauty data platform and its proprietary database. This deep beauty-specific dataset allows the platform to generate insights far beyond traditional retail analytics.
- 140,000+ beauty products
- 60,000 decoded ingredients
- 3M+ monthly beauty consumer profiles
Product Performance
Understand how personalization influences purchase decisions
Customer Types
Increase conversion rate and average order value by understanding needs
Cross-Brand Recommendations
Drive multi-brand and multi-category beauty baskets
Built for Modern Beauty Retail
The result is a powerful layer of beauty retail intelligence that helps retailers increase conversion rates, grow average order value (AOV), and drive multi-brand beauty baskets. Our insights dashboard is designed specifically for:
- Department store beauty retailers
- Specialty beauty chains
- Beauty e-commerce platforms
- Luxury cosmetics retailers
By combining AI-powered personalization with deep beauty data intelligence, retailers can transform customer interaction data into measurable commercial growth.
Traditional analytics tools track page views and transactions. Beauty Insights goes further by analyzing customer interaction with AI-powered beauty recommendations and product discovery journeys.
Retailers gain a clear understanding of:
- How many shoppers interact with personalization tools
- Which recommended products generate the highest click-through rates
- Which products convert into add-to-cart actions
- Which brands perform best within personalized recommendations
- How shopper personas influence product performance
This enables retailers to optimize product merchandising, recommendation strategies, and beauty assortment planning based on real behavioral insights.
80%
new users match their skin tone
+30%
Conversions
38%
Increase in sales
87%
Completion rate
75%
Clicks on Add-To-Cart
99%
Accuracy
750
daily users
+30%
Increase in Conversion
Beauty Insights
Beauty Insights turns AI-powered beauty discovery into measurable retail intelligence.
Unleash the Power of Data-Driven Insights
Beauty Insights is an AI-powered beauty analytics platform for retailers and beauty e-commerce, designed to track how shoppers interact with personalized beauty discovery tools and product recommendations. The platform provides detailed insights into customer engagement, product click-through rates, add-to-cart activity, and top-performing beauty products, helping retailers understand which brands and categories drive the strongest performance.
With advanced analytics on AI Skin Analysis, Fragrance Finder, Hair Analysis, and Foundation Matching, Beauty Insights reveals daily engagement trends, peak shopping behavior, and product performance across personalized journeys. The platform also generates AI-based shopper personas, identifying common consumer profiles, brand preferences, ingredient interests, and category affinities.