As of November 8, 2026, a public panel of convenience and grocery stores on a delivery platform is publishing sales velocity for 6,403 pantry items, 5,798 snacks, 4,826 drinks and 3,485 frozen products, refreshed on November 6. ShelfVelo ranks a Dr Pepper PET at a velocity index of 100 with more than 41,500 items sold across 14 stores of the panel, and a Pillsbury cookie dough at a rising index of 100 with 19,100 items across 4 stores. Both numbers are real. Neither is a market share.
What a velocity index is actually measuring
A velocity index compresses two different things into one number: how fast an item sells, and how many stores in the panel sell it at all. That compression is useful for spotting demand and dangerous for estimating share. An item selling 19,100 units across four stores is doing something very different from an item selling 19,500 units across eight stores, and the index alone will not tell you which is the stronger listing.
For a brand, the honest use of a panel like this is diagnostic. It answers a distribution question rather than a demand question: is the item present in enough stores for its velocity to mean anything, and is the velocity moving because of price, placement or season? Those are the two variables a brand can act on in the following week, and neither requires a national census to answer.
Three reads that separate coverage from demand
| Signal | What the panel shows | Coverage read | Demand read |
|---|---|---|---|
| High velocity, few stores | 19,100 items across 4 stores | Listing is thin, so the number is fragile | Test wider distribution before scaling spend |
| High velocity, many stores | 41,500 items across 14 stores | Listing is broad enough to trust | A candidate for depth and pack investment |
| Steady velocity, many stores | 2,881 of 3,485 frozen items rated steady | Distribution is holding | Demand is stable, not accelerating |
| Cooling velocity, many stores | 329 of 3,485 frozen items rated cooling | Coverage unchanged, so this is demand | Check price gap and substitute launches |
The frozen split is the clearest illustration. Of 3,485 tracked frozen products, 271 are rising, 2,881 are steady, 329 are cooling and only 3 are surging. A distribution problem would show up as items vanishing from store coverage; a demand problem shows up as items staying listed while their velocity drifts down. The cooling group is where the two cases get confused most often, because the item is still on the shelf and the brand assumes the shelf is doing its job.
There is a second distortion worth naming. A delivery-channel panel over-represents items that travel well and under-represents items that shoppers prefer to inspect, which means fresh, bulk and heavy categories are structurally under-counted. Reading a bakery or produce number from this panel as if it were a store-level truth will push a brand toward the wrong conclusion about its own availability, and the error compounds across a season.
Coverage first, then depth
The sequence matters more than the metric. Coverage tells you whether the item can be bought; depth tells you whether it can be bought twice in the same week. A brand that fixes depth before coverage spends money on replenishment for stores that never listed the item, and a brand that fixes coverage before depth creates a listing that sells out by noon and teaches the platform that the item does not deserve shelf space. Coverage, then depth, then price is the order that survives a peak.
A weekly tripwire, not a quarterly report
Panels like this update weekly, and the value is in the cadence rather than the precision. A quarterly review catches a listing loss three months after it happened, which in a twelve-week season is the whole season. A weekly check on a fixed list of ten SKUs against store coverage catches the same event in seven days, and the fix is usually a listing correction rather than a media spend.
Building the weekly check
The last step is the one that changes decisions. A cooling item with a stable price gap and no new substitute is usually a demand signal worth acting on. A cooling item with a widened price gap is a pricing problem wearing a demand costume, and the fix belongs in the price file rather than in the media plan. Separating those two cases is what a velocity panel is genuinely good at, provided the coverage base is read first.
FAQ
Can a delivery-channel panel be used to estimate national market share?
No. It samples one channel, and the publisher describes it as a delivery-channel sample rather than a census. Use it for direction and coverage, not for share.
Why does store count matter so much in a velocity reading?
Because velocity is computed over the stores that sell the item. An item in four stores has a fragile base, and a small change in one store moves the index sharply.
What does a steady velocity tier mean?
That the item is holding its rate of sale across the panel. It is a distribution confirmation rather than a growth signal, and it is the most common state in a mature category.
How should a brand act on a cooling item?
Check the price gap and any new substitute first. If both are unchanged, treat it as demand. If the gap widened, treat it as pricing and fix the price file.
