Estée Lauder Taps 450M Pinterest Users for Visual Scent Personalization

For marketers, personalization is entering a new era of visual intelligence. Scent Scanner doesn't ask users what they like; it reads the images they've already curated, offering a frictionless path from inspiration to purchase. This approach taps into the deep behavioral data Pinterest generates daily from its 450 million users, providing a blueprint for luxury brands to harness platform-native AI for engagement and sales.

Estée Lauder Companies and Jo Malone London have unveiled Scent Scanner, an AI-driven experience exclusive to Pinterest that interprets users' visual curation to deliver personalized fragrance recommendations. Announced on June 18, 2026, the initiative initially rolls out in the US and France, marking a significant leap in how beauty brands leverage social media data for hyper-personalization. Rather than asking consumers to describe scents, the tool analyzes the imagery, color palettes, textures, destinations, and aesthetics saved across a user's Pinterest boards. It then synthesizes these visual cues into a curated 'fragrance wardrobe' of Jo Malone London scents, creating a direct path from inspiration to purchase. This move builds on Jo Malone London's 2025 AI Scent Advisor, which pioneered text-based scent matching, but Scent Scanner shifts the paradigm from words to images, tapping into the deeply expressive nature of Pinterest's platform.

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Estée Lauder Companies and Jo Malone London have unveiled Scent Scanner, an AI-driven experience exclusive to Pinterest that interprets users' visual curation to deliver personalized fragrance recommendations.

Pinterest, with over 450 million monthly active users, has long been a visual discovery engine where people curate their aspirations and tastes. By integrating Scent Scanner, Estée Lauder capitalizes on this behavioral data without requiring users to articulate preferences. Aude Gandon, Chief Digital and Marketing Officer at Estée Lauder, captured the strategic insight: 'For years, personalization in beauty meant asking people what they wanted. The bigger opportunity is to understand what they already love — and to meet them where their taste already lives.' This philosophy aligns with broader industry trends where passive data (images, browsing cues) is becoming more valuable than declared preferences, enabling brands to offer seamless, intuitive recommendations.

The technology relies on sophisticated computer vision and machine learning models trained to infer scent affinities from visual inputs. For instance, a board filled with coastal landscapes and soft blue hues might translate into a fresh marine fragrance, while warm-toned, rustic imagery could suggest woody or spiced notes. This approach not only enhances the consumer experience but also positions Jo Malone London as a pioneer in sensory marketing AI. For Estée Lauder, a company that reported net sales of $15.6 billion in fiscal 2025, digital innovation is a critical growth lever, and Scent Scanner reinforces its commitment to blending luxury with cutting-edge technology.