How to Categorize Products for Sephora UK

Understanding Sephora UK Product Categorization

Sephora UK represents the pinnacle of prestige beauty retail in the United Kingdom, offering a curated selection of premium cosmetics, skincare, fragrance, and hair care products from over 300 brands. As part of the global Sephora network owned by LVMH, the UK platform maintains rigorous product categorization standards that directly impact product visibility, search rankings, and customer discovery. Our AI-powered categorization API helps beauty brands automatically classify products into Sephora UK's comprehensive taxonomy with exceptional accuracy.

When you sell through Sephora UK, accurate product categorization is essential for reaching beauty-conscious consumers who rely on precise filtering to find products matching their specific needs. Sephora's taxonomy is designed around the customer journey, organizing products by category, concern, skin type, benefit, and ingredient preferences. A moisturizer, for example, needs categorization that reflects not only its product type but also its key benefits like hydration, anti-aging, or sensitive skin suitability.

Manual categorization for Sephora UK presents significant challenges, particularly for brands with extensive product lines spanning multiple beauty categories. The beauty industry's specialized terminology, ingredient focus, and concern-based organization require deep understanding of both product formulation and consumer search behavior. Our enterprise API addresses these complexities by leveraging advanced machine learning models trained specifically on prestige beauty taxonomy structures and product classification patterns.

The Sephora UK taxonomy follows global beauty retail conventions while incorporating platform-specific categorization logic. Categories are organized hierarchically, starting with major divisions like Makeup, Skincare, Fragrance, Hair, Bath & Body, and Tools & Accessories. Each division branches into detailed subcategories organized by product type, application area, and consumer benefit. Understanding this structure and mapping products correctly is crucial for brand success on the UK's most prestigious beauty platform.

Sephora UK Category Taxonomy

Sephora UK's taxonomy is a sophisticated beauty classification system designed for prestige beauty consumers who expect precise product organization and detailed filtering capabilities. The taxonomy reflects how beauty enthusiasts shop, organizing products by category, concern, skin type, ingredient preference, and brand positioning.

The primary taxonomy division includes Makeup (with subcategories for Face, Eyes, Lips, Cheeks, Brushes & Applicators), Skincare (Cleansers, Moisturisers, Serums, Eye Care, Masks, Sun Care), Fragrance (Women's, Men's, Home Scents), Hair (Shampoo, Conditioner, Styling, Treatments), Bath & Body (Body Care, Hand Care, Gifts), and Tools & Accessories. Each category supports multiple levels of refinement for precise product placement.

Beyond primary categorization, Sephora UK emphasizes concern-based and benefit-based filtering. Skincare products can be tagged with concerns like Acne & Blemishes, Anti-Aging, Dryness, Sensitivity, and Dullness. Makeup products filter by coverage level, finish type, and skin tone compatibility. Our API recommends appropriate concern tags alongside category classifications, enabling comprehensive product data enrichment.

Popular Sephora UK Categories

Sephora UK continuously evolves its taxonomy to accommodate emerging beauty trends, new product categories, and changing consumer preferences. Our AI models are regularly updated to reflect these changes, ensuring your product categorizations remain accurate and aligned with current Sephora UK standards throughout the year including key beauty shopping periods.

API Integration Guide for Sephora UK

Integrating our categorization API for Sephora UK product feeds is straightforward. We provide RESTful endpoints that accept beauty product descriptions and return detailed categorization results including category paths, concern tags, confidence scores, and recommended attributes.

import requests

def categorize_for_sephora_uk(product_description, api_key):
    base_url = "https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php"
    params = {
        "query": product_description,
        "api_key": api_key,
        "data_type": "google"  # Returns beauty-optimized categories
    }
    response = requests.get(base_url, params=params)
    return response.json()

# Example usage for Sephora UK
result = categorize_for_sephora_uk(
    "Charlotte Tilbury Pillow Talk Lipstick Matte Revolution",
    "your_api_key_here"
)
print(f"Category: {result['category']}")

async function categorizeForSephoraUK(productDescription, apiKey) {
    const baseUrl = 'https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php';
    const params = new URLSearchParams({
        query: productDescription,
        api_key: apiKey,
        data_type: 'google'
    });
    const response = await fetch(`${baseUrl}?${params}`);
    return response.json();
}

// Example usage
categorizeForSephoraUK('Drunk Elephant Protini Polypeptide Moisturiser 50ml', 'your_api_key')
    .then(result => console.log('Category:', result.category));

curl -X GET "https://www.productcategorization.com/api/ecommerce/ecommerce_category6_get.php" \
  -d "query=NARS Orgasm Blush Powder Peachy Pink with Golden Shimmer" \
  -d "api_key=your_api_key_here" \
  -d "data_type=google"