Every label, and the data behind it.

These are the actual sentences Sold So Many prints on a product image. Each one is grouped under the store data that has to exist before it can appear. The numbers below are examples — on your store they are your own, and a label that cannot be backed by real data does not render at all.

Sales

Sold today

Paid orders from the last 24 hours.

“23 sold today”Factual
“Chosen by 23 others today”Social
“23 sold”Minimal
“Top in Jackets today”Ranked
“Selling fast, 23 today”Urgent
“Selling well today”Ambient

Sold this week

Paid orders from the last 7 days.

“140 sold this week”Factual
“Chosen by 140 others this week”Social
“140 this week”Minimal
“140 chose this in the last 7 days”Time-framed
“Top in Jackets this week”Ranked
“Popular this week”Ambient

Sold this month

Paid orders from the last 30 days.

“460 sold this month”Factual
“Chosen by 460 others this month”Social
“460 sold”Minimal
“460 chose this recently”Time-framed
“In demand this month”Ambient

Best seller in a collection

Rank by 30-day order volume against the other products in the same collection.

“Top seller in Jackets”Factual
“Chosen by 460 in Jackets”Social
“Top in Jackets”Minimal
“#1 in Jackets this month”Ranked
“A Jackets favorite”Ambient

Bought in quantity

The largest single-order quantity seen recently, anonymised.

“Someone bought 6 at once”Factual
“6 bought together”Minimal
“A stock-up favorite”Urgent
“Popular for bulk buys”Ambient

Recently ordered

Time since the most recent paid order.

“Last ordered 12 minutes ago”Factual
“Ordered 12 minutes ago”Minimal
“Just ordered 12 minutes ago”Urgent
“Selling right now”Ambient

Selling fast

Orders per day over the recent window.

“Selling 3 a day”Factual
“Fast mover”Minimal
“Fastest mover in Jackets”Ranked
“Moving fast, 3 a day”Urgent
“Selling quickly right now”Ambient

Often bought after viewing

The share of product views that end in a purchase.

“Viewers here often go on to buy”Factual
“Customers who view this tend to buy”Social
“A customer favorite”Minimal
“Top converter in Jackets”Ranked
“Often turns into a purchase”Urgent
“A customer favorite”Ambient

Browsing interest

Viewed

Unique product views from your storefront pixel.

“310 viewed this this week”Factual
“310 shoppers looked at this this week”Social
“310 views this week”Minimal
“Viewed this week”Time-framed
“Getting attention this week”Ambient

Added to cart

Add-to-cart events from your storefront pixel.

“48 added this to a cart this week”Factual
“48 shoppers added this this week”Social
“48 added this week”Minimal
“Added to carts this week”Time-framed
“Finding its way into carts”Ambient

Add-to-cart rate

Add-to-carts as a share of product views, reported in broad bands.

“Added to cart by about 1 in 4 shoppers”Factual
“About 1 in 4 shoppers add this to their cart”Social
“Often added to cart”Minimal
“Most carted in Jackets”Ranked
“A popular pick right now”Ambient

Happening right now

Viewing now

Live count of shoppers on the page right now.

“14 viewing now”Factual
“14 others are looking at this”Social
“14 viewing”Minimal
“14 people viewing right now”Urgent
“Catching eyes”Ambient

In cart now

Live count of open carts holding this product.

“8 in cart right now”Factual
“8 others have this in their cart”Social
“8 in cart”Minimal
“8 carted in the last hour”Urgent
“A popular cart pick”Ambient

Since a shopper was last here

Sold since your last visit

Orders placed between a returning shopper's previous visit and now.

“5 sold since you were here”Factual
“5 sold since last visit”Minimal
“5 more sold since you last looked”Urgent
“5 sold since your last visit”Personal

Viewed while you were away

Other shoppers who viewed the page since a returning visitor last left.

“17 viewed since you left”Factual
“17 others looked while you were away”Social
“17 viewed while you were away”Minimal
“17 more shoppers checked this since you were here”Urgent
“Others noticed too — 17 viewed since your last visit”Personal

Carted while you were away

Add-to-carts since a returning visitor last left.

“8 carted since you left”Factual
“8 added to cart while you were away”Social
“8 added since last visit”Minimal
“8 more shoppers carted this since you were here”Urgent
“While you were gone — 8 added this to cart”Personal

Reviews

Rating

Your own review app's rating and count.

“Rated 4.8★ by 126 customers”Factual
“126 customers rate this 4.8★”Social
“4.8★ (126)”Minimal
“Top rated in Jackets”Ranked
“Highly rated”Ambient

New reviews

Reviews left in the last 7 days.

“9 new reviews this week”Factual
“9 customers reviewed this week”Social
“9 new reviews”Minimal
“Freshly reviewed”Ambient

Stock

Back in stock

Inventory history — a product that went from zero back to available.

“Restocked 2 hours ago”Factual
“Was sold out for 3 days”Social
“2 hours ago”Minimal
“Back in stock — restocked 2 hours ago”Time-framed
“Just restocked — was sold out for 3 days”Urgent
“Back after selling out”Ambient

Sells out often

Recorded sellouts in the last 30 days.

“Sold out 3× this month”Factual
“3 sellouts this month”Social
“3× sold out this month”Minimal
“Sold out 3× in the last 30 days”Time-framed
“Often sold out in Jackets”Ranked
“Sold out 3× this month”Urgent
“Sells out often”Ambient

When and where people buy

Peak hour

The hour of day your store takes the most orders.

“Peak hour”Minimal
“Busiest time of the day”Time-framed
“Peak shopping hour right now”Urgent
“Store is buzzing right now”Ambient

Popular in a region

Order concentration by delivery region.

“Popular in Berlin”Factual
“A favorite in Berlin”Social
“Top in Berlin”Minimal
“Popular with Berlin customers”Ambient

Store-wide nudges

Store activity

Store-wide shopper and order counts, used by the nudge.

“42 orders placed today”Factual
“Join 42+ shoppers today”Social
“Our busiest hour”Time-framed
“Orders every 6 minutes”Urgent
“42 people shopping right now”Ambient

The same labels in your shoppers’ language

Shopper-facing copy ships in Danish, German, French, Spanish, Dutch, Italian, Turkish and Arabic, written per language rather than machine translated from the English. Two are published here in full: every label in Danish and every label in German.

Why there are several wordings for one number

The same fact can be said plainly or warmly, and which one converts depends on the store. Every label above is a different register on the same underlying number, so you can match the voice of your storefront without changing what is claimed. Presets pick a register for you; you can override any line.

What has to be true before a label appears

Each label has a minimum the data has to clear before it shows — enough orders, enough views, a real restock in the window. Below that threshold the label is skipped rather than rounded down or filled in, so a quiet product shows nothing instead of showing something flattering and false. Small catalogues get an extra layer: counts are coarsened or withheld where an exact number would reveal more about the business than a shopper needs.

More on where the numbers come from in the FAQ.