How AI lifts AOV and conversion in beauty ecommerce

Paid media costs keep rising while signal quality falls, particularly when you add in the opacity of Google Pmax and Meta Advantage+. At the same time, shoppers expect personalised help, fast, and without repeating themselves.  

The answer is to move more of the revenue work to owned channels using AI that captures consented signals, coaches the customer, and adds the right products at the right time. 

If you can achieve this fluently, you can improve conversion and basket size and lower costs to serve as you find yourself not having to constantly reacquire the same customers. It also gives you first‑party data you can use across CRM and merchandising. 

The problem in one paragraph 

Most beauty and skincare sites resort to more generic PDPs and blanket promos. Not only does this keep you fishing in very oversaturated pools both organically and through paid media, whilst it may keep traffic moving, it leaves money on the table: bounce stays high, baskets stay meagre and your service teams spend the day re-answering compatibility and sensitivity questions ad nauseum. 

So, the problem isn’t clicks, it’s brand attachment. Without a clear regimen story and one relevant add-on at the right moment, shoppers default to a single SKU at best, then leave: particularly if you’re a multi-brand seller where you’ll also be combatting price-comparison shoppers. Add in noisy/fuzzy attribution and strict UK/EU privacy rules and you’re struggling to build AOV, relying on a customer aquation spiral.  

Solution overview 

Put an AI consult at the front of the journey and connect it to dynamic recommendations. Capture goals, concerns, ingredient likes and avoids, and routine complexity in plain fields, then: 

This is how AOV and conversion improve without never ending discounts. 

How it works: process and roles 

Proof, not promises 

Customers spend more when the site does the thinking for them. A routine story on the PDP beats a single SKU. Short, clear coaching after purchase reduces “this didn’t work” of “wasn’t suitable for my skin” returns. Self-service answers cut the clicking around that stalls checkout. This where AOV typically moves: attach on regimen bundles, premium step introduction, and fewer confidence-driven returns. 

Competitor Context 

Haut.AI and Revieve both do a good job on visual diagnostics. Renude goes deeper. Ingredient-level reasoning, dermatologist-trained logic, and explanations that actually make sense to a shopper. 

If you want to sanity-check any vendor, ask about their recommendation system and how routines are built in plain English. This will help you to understand if the approach will hold up at scale. This is one of our specialisms at Renude so get in touch and speak with us today.