Install or upgrade by 20 November for BFCM60 plus a free done-for-you setup.Install by 20 Nov · BFCM60 + free setup

09d 17h 46m 40s09d 17h

See the offer
Face Age

Skin Scan Serum Recommendations: Mapping Serums and Moisturizers to Scan Results

Skin scan serum recommendations only work if each serum is mapped to the concerns and levels it actually suits. In Face Age, you link every serum and moisturizer to visible concerns like pigmentation, dryness or redness, pick the severity levels (low, medium, high), and add quiz-based excludes for things a photo can't see. Do that well and the result shows one or two serums that clearly fit, not your whole shelf.

Serums and moisturizers are where most skincare stores have the deepest range and the most confused shoppers. They're also where a loose setup shows the fastest. Here's how I'd map them.

Key terms

  • Concern: a visible skin topic the scan reads, such as wrinkles, pores, acne, pigmentation, dark circles, eye bags, redness or dryness. Face Age reads 13 of them.
  • Severity level: low, medium or high, assigned per concern.
  • Condition (AND): the concerns and levels a product is linked to. Every rule in this box must match.
  • Extra Condition (OR): include or exclude rules based on quiz answers. Excludes always win.
  • Automate AI: an option that links products to concerns from their names and descriptions, as a starting point you then review.

The scan is a cosmetic analysis for shopping guidance. Not a medical diagnosis; does not replace a dermatologist.

Why serums are the hardest category to map

Serums are targeted by design. A vitamin C serum, a niacinamide serum and a peptide serum each speak to different concerns, and their product copy often claims several at once. If you map each one to every concern its description mentions, every shopper sees every serum. That's the most common setup mistake I see.

Moisturizers have the opposite problem. Almost everyone needs one, so stores either forget to map them or map one to everything and never show the richer formulas.

Skin scan serum recommendations: a sample mapping

Here's how a store with five serums and three moisturizers might set things up. The product types are generic examples, not recommendations for any brand.

Product Concerns linked Levels Quiz exclude
Brightening serum (vitamin C type) Pigmentation Medium, High Exclude if "very sensitive"
Niacinamide serum Pores, Redness Medium, High None
Hydrating serum (hyaluronic type) Dryness Low, Medium, High None
Retinoid-style night serum Wrinkles Medium, High Exclude if "pregnant or nursing" (only if you ask) or "very sensitive"
Calming serum Redness Low, Medium None
Light gel moisturizer All concerns Low Exclude if quiz answer is "dry"
Everyday moisturizer All concerns Low, Medium, High None
Rich barrier cream Dryness Medium, High Exclude if quiz answer is "oily"

A few choices in that table are worth explaining.

The brightening serum skips "low". A shopper with low visible pigmentation doesn't need a targeted serum pushed at them. Keeping it to medium and high makes the recommendation feel earned.

The calming serum skips "high". That's a judgment call. Some stores prefer to show their gentlest option to everyone with redness. Others prefer to keep high-redness results light and suggest checking with a professional. Either way, decide on purpose.

Excludes do the safety work. A photo can't tell you someone reacts to strong actives. The quiz can. If you ask a sensitivity question, wire its answer to an exclude on your stronger serums. Excludes beat includes, so nothing slips through.

Our longer post on severity, conditions and exclusions covers the logic in more detail.

Use Automate AI, then edit

Automate AI reads product names and descriptions and suggests concern links. It's a fast first pass, especially with a big catalog. But product copy is written to sell, so it tends to over-claim. A moisturizer described as "brightening, smoothing, plumping and soothing" will get linked to four concerns.

After the auto pass, I'd sort by category and go serum by serum. Ask: if a shopper had only this concern at this level, is this the product I'd hand them? If not, remove the link.

Keep mapping current as the range changes

Catalogs move. A new serum launches, an old one is discontinued, a moisturizer gets reformulated without fragrance. Each change can quietly break your results. A discontinued serum that stays mapped can leave a gap or point shoppers to an out-of-stock page. A new one that never gets mapped will never show after a scan, however good it is.

The simplest habit is to make mapping part of the product launch checklist, next to photos and copy. Once a month, open the Face Age analytics page and look at which products show after an analysis and which get added to cart. If a serum shows often but is rarely added, its mapping or its page may need a look.

How many products should one result show?

There's no setting that's right for every store, but the shopper's experience tells you. If someone with medium pigmentation and low dryness sees two serums and one moisturizer, that reads like advice. If they see seven serums, they're back on a category page with extra steps.

Test with real scans. Take five photos with different skin (staff who volunteer are fine) and count what shows. If the list is long, tighten levels before you touch anything else.

Where routines come in (Plus and above)

On Plus at $129, Face Age's routine generator builds AM and PM routines from the scan and your mapped products. That's where serum mapping pays off twice. A well-mapped vitamin C type serum lands in the morning step; a retinoid-style serum in the evening. If your serums are mapped loosely, the routine gets crowded too.

You can read how the routines are put together on the routines feature page, and see shopper-facing recommendation details on recommendations.

Product Insight on serum pages

Shoppers often land straight on a serum page from search or an ad. The optional Product Insight block explains on that page how the product matches a shopper's analysis. It only helps if the serum's mapping is accurate. A vague link turns into a vague explanation. More on that block in Product Insight on Shopify.

A quick audit checklist

  • Every serum is linked to no more than two or three concerns.
  • Targeted serums skip "low" unless you have a good reason.
  • At least one moisturizer covers every concern at every level, so no result comes back without one.
  • Strong actives have a quiz-based exclude.
  • You've run five real scans and read the product list out loud.
  • New products get mapped the day they're added, not "later".

Plans and pricing

Product recommendations and the Quiz Builder are on every plan: Start $59, Plus $129, Growth $249, Scale $499 a month on Shopify, with a 7-day trial. Routines, history and PDF reports start on Plus. See pricing.

FAQ

Can an AI skin scan recommend a serum? Yes, from the serums you've mapped to the concerns it reads.

How many serums should show after a scan? One or two per result usually reads like advice. Narrow with levels and excludes.

Should every shopper see a moisturizer? Many stores map one basic moisturizer to all concerns and levels, then target richer ones.

Which Face Age plan includes product recommendations? Every plan, from Start at $59. Routines start on Plus at $129.

Share
Ask AI for a summary
Article bySophia BennettAI Skincare & Beauty Technology Writer

Put a skin scan on your store today

Add Face Age to your site with the SDK, a plugin or the Shopify app — and start with a 7-day free trial.

Choose which cookies Face Age can use on this site. You can change this any time from “Cookie preferences” in the footer. Privacy Policy