Below is what each number means, where it comes from, and how I'd actually use it when deciding what to change on a store.
Where to find skin analysis analytics in Face Age
Open the Face Age app in your Shopify admin. The first screen is the Dashboard. It shows your current plan, how many analyses and mapped products you have left, the main numbers for this month and your top products over the last 30 days.
For anything more detailed, go to the Analytics page. That's where the custom date range, product-level tables and the sessions-over-time charts are.
A small habit that saves confusion: when a teammate quotes a number, ask which screen and which date range. The Dashboard is fixed to the current month. The Analytics page is whatever range someone last picked.
Dashboard metrics
Analyses
How many skin analyses were completed this month. One shopper scanning twice counts as two. This is also the number that counts against your plan's monthly scan allowance, which is why the Dashboard shows remaining analyses next to it.
If Analyses is low, the problem is almost always visibility, not the scan itself. Check where the scan is placed. A floating button that only shows on the homepage won't get much use. Our post on Modal vs Section placement goes through the options.
Added to cart
How many recommended products shoppers added to the cart after an analysis. It's the action that sits between seeing a recommendation and buying it, so it's the number to watch when you change your product mapping or the routine.
Conversion
This is the one to get right. In Face Age, Conversion = products added to cart ÷ product visits that came from the analysis.
So it answers a narrow question: when a shopper clicked through to a recommended product, how often did they add it? It doesn't tell you how many scans ended in an order, and you shouldn't compare it with the store-wide conversion rate in Shopify Analytics. Those measure different things.
Where it's useful is comparing your own recommendations against each other. A product with lots of visits and few adds might have a weak product page, a price surprise, or it may simply be a poor match for the concerns you mapped to it.
Estimated revenue
An estimate the app shows for revenue connected to the analysis. Read it as a direction, not a figure for your accounts. Carts get abandoned and discounts get applied, so it won't match what lands in your bank.
For real money, use tagged orders (more on that below).
Top products (last 30 days)
The recommended products most often added to cart over the last 30 days. It's a quick check on whether your product mapping is behaving. If a cheap cleanser tops the list every month and your serums never appear, look at the severity thresholds and conditions on those serums.
Analytics page metrics
Custom date range
Everything on this page follows the range you pick. Use it to compare before and after a change, like turning on a skin scan discount or moving the scan to product pages. Pick ranges of equal length, and avoid comparing a sale week with a normal week.
Product display rate
How often a given product is shown in recommendations. A product that's mapped but almost never displayed is usually blocked by a condition: severity set too high, an AND rule that rarely matches, or an exclusion you forgot about.
This metric is the best debugging tool on the page. When a brand asks "why does nobody see our new eye cream?", the answer is usually here.
Top products added to cart
The same idea as the Dashboard list, but for your chosen range.
Products after analysis: visits, add to cart and conversion
A table with one row per recommended product, showing product visits from the analysis, adds to cart and the Conversion figure for that product. Sort it by visits first. The products at the top are where shoppers are actually landing, so improvements there count most.
Sessions and usage over time
A chart of scanner sessions and analyses across your range. Use it to spot drops after a theme change. If a theme update moved or hid the app block, you'll see it here before anyone emails you.
Tagged orders: the number to trust for sales
Face Age tags orders placed after an analysis in Shopify. That means you don't need to rely on the app's estimate to see what scanning shoppers actually bought.
In Shopify admin, filter Orders by that tag. You can export the list, total it, or compare average order value against untagged orders. You can also use the tag in Shopify's own reports. Because these are real orders, refunds and discounts are already reflected.
One caution: an order being tagged tells you the shopper did a scan before buying. It doesn't prove the scan caused the purchase. Keep that in mind before you claim anything in a board deck.
A simple monthly routine for reading the numbers
Here's what I'd check once a month, in this order:
First, Analyses against your plan allowance. If you're close to the cap, either move up a plan or reconsider where the scan is promoted. Plans and allowances are on the pricing page.
Second, product display rate for anything new. New products often go unseen because of strict conditions.
Third, the products-after-analysis table, sorted by visits. Fix the product pages with many visits and few adds.
Fourth, tagged orders in Shopify, for the actual revenue picture.
That's about twenty minutes, and it catches most problems before they cost you a month.
What the analytics don't cover
The scan result itself isn't scored for anyone. The app reports how shoppers used the scanner and recommendations, not whether a concern reading was right. It's a cosmetic analysis of a photo: Not a medical diagnosis; does not replace a dermatologist.
If you want to know what happens after the first purchase, look at returning shoppers. With analysis history on, you can see who comes back and scans again, and the comparison view shows how their readings changed. That's covered in skin analysis history on Shopify.
FAQ
How does Face Age calculate conversion? Products added to cart divided by product visits from the analysis. It's an add-to-cart rate, not an order rate.
Is estimated revenue the same as sales? No. For real sales, filter the orders Face Age tags in Shopify.
Can I see analytics for a custom date range? Yes, on the Analytics page. The Dashboard shows the current month.
Where do I find orders that came after a skin analysis? They're tagged in Shopify, so filter your Orders list by that tag.
