Payoff Reads · Assortment and private label
Did our private label lift margin, and did new items grow the basket or just cannibalize existing items?
Find out what your private label adds to category margin, after the trade funding it gives up, and whether new and local items grow the basket or just cannibalize the rest of the shelf. Each store is read vs. a twin built from stores that haven't reset their shelves yet.
- 12 Pays for itself
- 5 No significant effect
- 3 Costs money
What your numbers can't show
Your category reports show what sold. They can't show which sales were new and which were cannibalized from the rest of the shelf.
In 2025, private label sold a record $282.8 billion across U.S. retail: 23.5% of the units sold, but 21.3% of the dollars, because each item sells for less (PLMA, from Circana data). That gap is why private label can lower a category's topline sales while raising its margin, and why a sales report can read a winning private label as a loss.
What lands on your desk
A private label launch, as Seurat reads it
Heartland Markets launched Heartland Select, its private label, in 3 categories (bottled water, salty snacks, and nuts and trail mix) at 20 of its 42 stores between April and July 2025, as each store's shelves were reset. Each reset store was read vs. a twin built from stores not yet reset, including the 22 still waiting to be reset.
The answer, in three lines:
per reset store, per week, in the 3 categories, vs. stores not yet reset
| What changed | Result | Confidence band | Verdict |
|---|---|---|---|
| Units sold | +3.5% | Confidence band: +1.5% to +5.5% | Significant lift |
| Topline sales | −$45 | Confidence band: −$110 to +$20 | No significant effect |
| Inside visits | +10 | Confidence band: −60 to +80 | No significant effect |
| Margin on Heartland Select | +$290 | Counted, not estimated | |
| Margin on the national brand items it replaced | −$215 | Confidence band: −$235 to −$195 | Significant drop |
| Trade funding given up: scan deals and display fees | −$15 | Cost of the program | |
| What Heartland Select adds to the bottom line | +$60 | Confidence band: +$40 to +$80 | Pays for itself |
by category, per reset store per week
| Category | Heartland Select adds | Confidence band | Verdict |
|---|---|---|---|
| Bottled water | +$45 | Confidence band: +$32 to +$58 | Pays for itself |
| Nuts and trail mix | +$30 | Confidence band: +$21 to +$39 | Pays for itself |
| Salty snacks | −$15 | Confidence band: −$27 to −$3 | Costs money |
store by store (6 of 20)
| Store | Reset | Heartland Select adds, per week | Confidence band | Verdict |
|---|---|---|---|---|
| Store 5, Collins Rd | Apr 2025 | +$140 | Confidence band: +$85 to +$195 | Pays for itself |
| Store 12, Ely Rd | Apr 2025 | +$95 | Confidence band: +$40 to +$150 | Pays for itself |
| Store 29, Market St | May 2025 | +$35 | Confidence band: −$20 to +$90 | No significant effect |
| Store 36, Westgate Dr | Jun 2025 | +$10 | Confidence band: −$45 to +$65 | No significant effect |
| Store 23, Hwy 6 E | Jun 2025 | −$60 | Confidence band: −$115 to −$5 | Costs money |
| Store 40, Hwy 151 | Jul 2025 | −$85 | Confidence band: −$140 to −$30 | Costs money |
by store type, per reset store per week
| Store type | Heartland Select adds | Confidence band | Verdict |
|---|---|---|---|
| 3 highway stores | −$70 | Confidence band: −$125 to −$15 | Costs money |
| The other 17 reset stores | +$83 | Confidence band: +$60 to +$106 | Pays for itself |
the local shelf, per store per week, vs. stores without it
| What changed | Result | Confidence band | Verdict |
|---|---|---|---|
| Local item sales | +$310 | Confidence band: +$250 to +$370 | Significant lift |
| Other items in the same baskets | −$240 | Confidence band: −$320 to −$160 | Significant drop |
| Basket size | +$0.02 | Confidence band: −$0.05 to +$0.09 | No significant effect |
| Margin, after the items they replaced | +$25 | Confidence band: −$15 to +$65 | No significant effect |
the 40 items cut, per store per week, vs. stores that kept them
| What changed | Result | Confidence band | Verdict |
|---|---|---|---|
| Sales that shifted to items remaining on the shelf | +$270 | Confidence band: +$220 to +$320 | Significant lift |
| Candy and snack sales | −$50 | Confidence band: −$105 to +$5 | No significant effect |
| Expired-product write-offs | −$20 | Confidence band: −$28 to −$12 | Significant drop |
| Candy and snack margin, after write-offs | +$4 | Confidence band: −$16 to +$24 | No significant effect |
| Inside visits | −5 | Confidence band: −75 to +65 | No significant effect |
The confidence band shows the 95% confidence interval. When the band spans zero, the result isn't statistically significant. Heartland Markets is a fictional chain. Every number on this page is made up to show the format.
How the read works
Shelves usually get reset a few stores at a time, as a new planogram rolls out across the chain. That staggered rollout is what makes the read possible: the stores that haven't reset yet show what the reset stores would have sold with the old shelf.
Can your assortment be read?
It depends on how the change reached your stores, more than on how many stores you run. There are 3 routes.
- 1
Your private label or new items went in store by store, as shelves were reset
- How the read works
- Each reset store vs. a twin built from stores that haven't reset yet
- What it answers
- What private label adds to category margin, and whether new items grow the basket or just cannibalize the rest of the shelf
- 2
Some stores cut items
- How the read works
- Stores that cut them vs. stores that kept them
- What it answers
- Whether shoppers switched to the items remaining on the shelf, or stopped buying
- 3
A new or local item went in at every store at once
- How the read works
- Each store vs. its own twin, built from its history and the categories the item shouldn't touch
- What it answers
- Whether the item grew the basket, or just took sales from items already in it
We check your reset dates and item history on the first call, before you commit to anything.
What we need, and what stays with you
We need:
- Weekly sales and units by store and item, in the categories that changed
- The date each store's shelf was reset, and which items went in or came out
- Your margins by item or category, as percentages
- Scan deals, display fees and other trade funding by category, if you track them
- Expired-product write-offs by store and category
- For new and local items, how many baskets they were in and those baskets' average total, by store and week, if your system reports it
- Where your loyalty program can follow members, visits by member, with member IDs you've scrambled (hashed) yourself
- 1 to 2 years of history
We never ask for:
How long it takes
Questions buyers ask us
After this read
Read several changes in one request, or keep each category measured week by week.
Sources: PLMA, "U.S. Private Label Industry Reached $282.8 Billion in Sales in 2025," January 2026, from Circana data.