Purchase velocity is how fast a product sells, measured as units sold per store per week. It is the same measure that retailers and brands simply call velocity, and it shows how well a product sells in the stores that already carry it. Because it divides out the number of stores, it lets a brand compare performance fairly across retailers, regions, and time periods.
The basic calculation takes the units sold in a period, divides by the number of stores carrying the product, and divides again by the number of weeks. A product that sold 12,000 units across 500 stores in four weeks has a velocity of six units per store per week.
Many syndicated data reports adjust that number for distribution, reporting units per store selling or units per million dollars of ACV. The adjustment matters because a product in a handful of large stores and a product in many small stores can post the same total sales with very different velocity. Reading velocity next to ACV gives the fuller picture.
Velocity comes from point-of-sale data, either straight from the retailer or through Nielsen or Circana. That makes it a solid count of what moved through the register. It says nothing about who bought or whether the same people are coming back.
Velocity is the number a retail buyer looks at first. At line review, a product with weak velocity is at risk of losing facings or being cut, whatever the brand has spent supporting it, because that shelf space could be earning more with another item.
Velocity is also the clearest test of whether new distribution is working. A brand that gains stores and sees velocity hold steady is growing. A brand that gains stores and sees velocity fall is spreading the same demand across more shelves, and the retailer will notice before long.
Because velocity only counts units, it cannot tell a brand why a product is fast or slow. A strong week can come from a price promotion, a display, or a group of households coming back for retrial, and the brand needs other data to know which one it was.
A beverage brand gains distribution across more stores in a regional grocery chain and watches total sales climb. Its velocity in the original stores holds steady, but the new stores sell at roughly half that rate. Total sales look like growth, while the velocity data tells the brand that shoppers in the new stores have not found the product yet and that it needs to drive trial there before the next review.
Confusing purchase velocity with review velocity. The two terms sound alike and both come up in retail conversations, but purchase velocity counts units sold per store per week, while review velocity counts how quickly new reviews arrive on a product page. A product can have fresh reviews coming in every week and still sell slowly on the shelf.
Where TrueLoyal fits: Velocity tells a brand how fast a product moves. Receipt scanning adds who bought among members who opt in, along with the store and the items, which helps a brand understand the people behind that movement.
Purchase velocity is units sold per store per week, and it measures how fast a product moves off the shelf. Review velocity is the rate at which new reviews come in for a product. They are separate measures, and strong review velocity does not guarantee strong sales velocity.
Purchase velocity is units sold divided by the number of stores carrying the product, divided again by the number of weeks in the period. Many syndicated reports also adjust it for distribution so that store size is taken into account.
There is no single good number, because velocity varies widely by category, retailer, and price point. Brands usually judge it against the category average and against the products sitting next to them on the shelf.
No. Velocity comes from point-of-sale counts, which show how many units sold and where, with no information about the households behind those units.
ACV, or all commodity volume, measures how much of the market a product is available in, weighted by the size of the stores that carry it. It is based on each store's total sales across all categories, so a large store counts for more than a small one. A product with 80% ACV is sold in stores that together account for 80% of total retail sales in the market being measured.
POS data is the record of sales captured at the point of sale, which is the register or checkout where a transaction happens. It shows what sold, in what quantity, at what price, in which store, and when. For brands selling through retail, it is the most direct count of how many units actually moved to shoppers.
A line review is the meeting where a retailer decides what it will stock in a category for the coming period. Every item in the category is assessed, some are kept, some are cut, and new items are considered against the ones already on the shelf. For a brand selling through retail it is the single highest-stakes event of the year.
A facing is one unit of a product visible at the front of the shelf. An item with four facings occupies four units of width at eye level in the planogram, and an item with one facing occupies one. Facings determine how much of the shelf a product owns and, with it, how easily a shopper finds it.
Review velocity is the rate at which new reviews arrive on a product, measured in reviews per week or per month rather than the total. It measures whether a product page is currently gathering evidence or coasting on reviews written a long time ago.
Buying rate is how much each buying household purchases of a brand or category over a set period, usually a year. It is measured in units, dollars, or purchase occasions per buying household. Together with household penetration it explains where a brand's volume comes from, because penetration times buying rate equals volume.
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