§I The premise: most brands are confused about what retail is.
Retail is not distribution. Retail is a transaction between three parties: the brand, the retailer, and the shopper. Each of the three has a different question they are asking at the moment of truth, which is the six seconds the SKU spends in the shopper’s hand.
The brand is asking: will this person pick us over the adjacent SKU? The retailer is asking: is this SKU earning its linear foot or should we delist it? The shopper is asking: do I understand what this is, can I afford to be wrong, and is it worth the shelf-to-trolley transfer.
Most founder-led brands build for the first question only. A minority — maybe one in six — build for the first two. Almost none build for all three simultaneously, which is why velocity is a better predictor of business survival than any other metric we measured, and why retailer margin fit appears in only 38% of the brands we tracked despite being the single variable that most strongly correlates with range retention at category review.1
Velocity is not popularity. Velocity is the rate at which your brand converts linear foot into retailer loyalty. — Théo Marchetti, field note #44
What follows is a definition of the nine measurable beats a consumer brand either hits or does not hit on the shelf, the distribution of performance across the study cohort, the four archetypes that emerge from the data, and — because this is a brand consultancy publication, not a trade paper — what a founder who has read their own numbers should do about it on Monday morning.
§II The nine beats, defined.
We define a “beat” as a specific, measurable thing a brand must be achieving on the physical shelf to remain a going concern through the next two category reviews.2 Each beat has an operational definition and a pass threshold. A brand is counted as “hitting” the beat if it is above the threshold in the majority of the retailers it is listed in.
The easiest beat and the one 84% of brands pass. Being listed in enough stores to matter. ACV (all commodity volume) below 42% means a marketing dollar is effectively wasted — the shopper who saw your ad cannot reach your product. Above 42%, media buys start to compound.
The single most important beat. Velocity tells the retailer whether you earn your linear foot. Below category mean, every subsequent conversation with the retailer becomes a defensive one. Above category mean, the retailer starts to propose you for end-cap and off-shelf activity without you asking.
The cohort median velocity sits at 4.1 units/store/week. The top quartile sits at 11.3. The bottom quartile at 1.2 — a number at which most retailers will quietly deprioritise you at next range review.
Fair share = your share of category revenue. If you have 6% of category revenue and 6% of shelf, you are at parity. If you hold 1.2× fair share, the retailer is betting on you. If you hold 0.6×, they are betting against you while waiting for a better replacement.
Repeat rate measures the percentage of first-time shoppers who return for a second purchase within the replenishment cycle. It is the single most honest predictor of lifetime value. The cohort median sits at 31%. Only 42% of brands clear the 38% threshold that maps to category retention.
This beat is downstream of product quality, pack experience, and whether the first use matched the shelf promise. No amount of marketing compensates for a repeat rate of 19%.
A category is a zero-sum game at any given moment. If you are growing share, someone is losing it. If you are static, you are effectively losing — the category itself is usually moving, and static means you are moving slower than the new entrants.
The most under-discussed beat, and the one where the biggest strategic error sits. Many founder-led brands negotiate trade terms in the first year that they never revisit, ending up at a margin-to-retailer 3–6 points below the category. At the moment category growth slows, the retailer will quietly delist the brand whose unit economics hurt them most. That brand is often you.
The twelve-foot test. Can the shopper identify your brand from across the aisle, without reading the word-mark. Only 29% of brands pass. Most rebranded in the last 36 months and the new identity is not yet encoded. A distinctive asset (colour, silhouette, gesture) that the shopper recognises before language arrives is worth more than any amount of digital equity. This is one of the hardest beats to fake.
Pricing power is not a marketing question. It is the bluntest possible measure of whether the brand is doing real work. If your unit sells for 15% above category mean and holds velocity, the brand is earning its keep. If you can’t charge more than the private label, you have built a commodity with a logo on it.
The rarest and most valuable beat. Only 13% of brands pass. A brand that defines the category is the brand a buyer names first, a shopper reaches for by default, a competitor benchmarks against. Every founder says they want this. Almost none build for it. It takes eight to twelve years and it is the compound interest of the other eight beats done over a long time.
§III What the data says about each.
The most useful finding from the 28-month dataset is not the distribution across each beat, but the correlation structure between beats. Some beats move together. Some do not. And the brands that survive are the ones hitting the beats that compound.
| Cohort | Beats hit | n | Avg. YoY rev | % delisted | Survival prob (24 mo) |
|---|---|---|---|---|---|
| Tier A — compounding | 7 – 9 | 11 | + 41% | 0% | 98% |
| Tier B — working | 5 – 6 | 31 | + 18% | 3% | 88% |
| Tier C — vulnerable | 3 – 4 | 47 | + 4% | 17% | 71% |
| Tier D — delisting soon | 0 – 2 | 23 | − 11% | 74% | 26% |
| All brands | mean 4.1 | 112 | + 9% | 21% | 73% |
Three things leap off the table. First, Tier A (the 11 brands hitting seven or more beats) is growing revenue ten times faster than the median brand. Second, Tier D (hitting two or fewer beats) has a 74% delisting rate within the study window — delisting is not a rare event; it is what happens by default when the beats are not met. Third, the velocity jump from Tier C to Tier B is twice the jump from Tier B to Tier A, which means the largest commercial leverage sits in moving from 4 beats to 6 beats, not from 6 to 9. Most consultants sell a 9-beat project. The honest answer for a $20M brand hitting four is: get to six.
§IV The four archetypes that emerge from the data.
Collapsing 112 brands against the nine-beat matrix produces four repeating archetypes. Every brand we’ve ever worked with sits in one of these four at any given moment.
The Compounder (11 of 112)
Hits 7+ beats. Defined category or deep inside a growing sub-category. Velocity 2–3× category mean. Pricing power intact. Shopper recognition above 60%. These brands don’t need a rebrand; they need a publishing cadence, discipline around NPD, and patience. Our rough take: spend less on brand refresh, more on defending the distinctive asset and retailer relationship. The compounding is the compounding.
The Earner (31 of 112)
Hits 5–6 beats. The steady, under-celebrated core of the consumer economy. Profitable, growing, nowhere near category definition. Usually held back by one or two beats in particular — most commonly retailer margin fit or pricing power. Fixing the one or two beats these brands are weakest on typically unlocks 40–80% revenue upside over 24 months.
The Drifter (47 of 112)
Hits 3–4 beats. The largest cohort. Still in distribution, still turning over, but losing category share every quarter. The silent decline. This cohort is where most “we need a rebrand” briefs come from, and where a rebrand is almost never the answer. The answer is usually: a stricter portfolio, a repaired retailer relationship, and a honest product-quality audit. In three of the five Drifter-to-Earner case studies we tracked, no visual identity work was commissioned at all.
The Ghost (23 of 112)
Hits 0–2 beats. Either very early, very distressed, or trapped in an old positioning. 74% delisting rate within 24 months. Not all Ghosts should be saved. The hardest conversation we have with founders is whether the honest call is a significant restructure or an orderly wind-down. Neither answer is a failure of strategy; staying a Ghost is.
A brand in decline is not usually a brand with a bad logo. It is a brand with a broken retailer relationship and a product the category has moved past. — Table 01, Tier C observation
§V What this means for a founder reading their own numbers.
The honest use of this paper is as an audit. Print the nine beats. Put your own numbers against them. Be brutal. If you hit 6+, stop worrying about brand refresh and start worrying about defending what you have. If you hit 3–4, the brand work you commission should be diagnostic first, creative second. If you hit 0–2, and the product fundamentals are intact, you have twelve months. If the product fundamentals are broken, you have less.
The failure mode we see most often is a founder hitting four beats, commissioning a $180k brand refresh to “reignite growth,” and finding themselves twelve months later hitting the same four beats with a prettier logo. A new identity moves beat 7 (shopper recognition) up perhaps 6–10 points over two years if executed well. It moves beats 2, 4, 6, and 8 by almost nothing. A disciplined buyer meeting every quarter, a rigorous repeat-rate diagnosis, and a 6% price rise will, in most Tier C cases, do more for the business than the rebrand.
This is not a popular argument inside the industry we work in. It is the argument the data keeps making.
§VI Methodology & limits.
Method in brief
We tracked 112 consumer brands across 19 grocery and specialty retailers in Australia, the UK, and the US, between October 2023 and February 2026. The cohort was selected to span category (beauty 34, food & beverage 49, household 29), life stage (15 under 3 years old, 71 between 3–15 years, 26 over 15 years) and scale (revenue band $3M – $540M).
Data sources:
- NIQ scanner data for velocity, ACV, and category share
- Retailer-shared range and margin reports (19 retailers, redacted)
- Glow Group primary shopper research: 3,200 shoppers, seven waves
- Unaided recognition testing across 68 of 112 brands
- Shelf audits: 411 stores visited, 22,904 facings counted
Limits. We did not measure DTC performance. We did not control for media spend. Pricing-power estimates assume roughly stable promotional cadence — brands undergoing aggressive promotional resets were flagged separately and are excluded from the pricing-power beat distribution. The 74% delisting figure for Tier D represents observed + forecast delistings based on retailer category review calendars; some portion of those delistings had not yet occurred at publication.
The full dataset is not public. Tier A brand names are not public. A methodological appendix and per-category breakdowns are available to clients on request.
Footnotes
- Retailer margin fit correlates with 24-month range retention at r = 0.68 across the study cohort. The only stronger single-variable predictor is velocity at r = 0.74.
- The nine beats were developed iteratively by Glow Group’s retail intelligence practice between 2019 and 2024, refined against a smaller 38-brand pilot cohort in 2022, and formalised for this study. An earlier six-beat framework circulated privately among clients is deprecated by this paper.