Advance Purity Cosmetics

Context

Advance Purity is a D2C cosmetics store with a curated catalogue, strong brand voice, and a flat product grid that did the work of category sorting but very little of the work of guidance. First-time visitors landed on a page of products and had no clear path from “what do I need?” to a purchase.

Problem

The storefront’s conversion rate told the story: visitors with no prior brand affinity bounced. Repeat customers converted fine — they already knew the routine they wanted. The missing surface was a guided experience for new buyers who knew they wanted something for something but couldn’t translate that into a basket.

Approach

We designed an in-store skincare advisor framed as a short, friendly quiz — skin type, concerns, goals, budget — that ends in a personalised routine + bundle recommendation. Critically, the recommendation explains why each product fits, so the customer trusts the suggestion. The advisor runs as a React island embedded into the existing storefront, not a separate microsite.

What we built

• Quiz flow — 4–6 questions, conversational tone, single-screen progression
• Recommendation engine — LLM-driven matching between customer profile and product catalogue
• Reasoning copy — each recommendation surfaces 2–3 sentences explaining the fit
• Bundle constructor — auto-assembles a routine (cleanser → treatment → moisturiser → SPF) within the customer’s budget
• Storefront-embedded — runs inside the existing Shopify storefront, not a separate funnel

Stack

React · Astro · OpenAI · Shopify

Outcome

• [PLACEHOLDER] Quiz funnel converts ~3× the cold product grid
• [PLACEHOLDER] Basket size on quiz-led purchases up ~40%
• Personalised reasoning copy — explains why each product fits

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This is a DRAFT case study. Real engagement specifics and a signed-off client quote must be substituted before launch. See spec §7.3 and §13 for the launch gate.