How Distribution Drives Market Share

Product & Brand ManagementWilbur, K. C.; Farris, P. W. (2014) · 2014Journal of Retailing

Topicsdistribution·market share·double jeopardy·cpg·acv·new product launch·sku

Your team brings you a new-product launch plan built on an optimistic distribution target and a matching share forecast. Approve it, and you commit millions in retailer fees before a single unit sells. The question is whether that share number is realistic. This research shows the answer is already sitting in your own portfolio: the relationship between your existing products' distribution and the share they earn is a reliable yardstick for whether a new product's plan holds up, or is quietly overpromising.

Share isn't proportional to distribution: it's convex.

Most planning assumes that getting a product into more stores tracks proportionally with market share. The data says otherwise. Across the products within a category, share is convex in distribution: the best-distributed products hold disproportionately more share per point of distribution than thinly stocked ones. This is a cross-sectional pattern, not a within-product growth curve, and a brand's own weakest products are not exempt from it.

Data chart

The accelerating pattern is most common among leading brands

The accelerating pattern shows up in almost every leading brand but in fewer and fewer brands further down the ranking, so a brand's rank changes how reliably the pattern applies.

Action guide

Before approving a launch, check the new product's distribution and share assumptions against the curve your existing products already trace; treat a product that sits worse than the curve as a launch risk to re-examine.
Add an independent check on distribution assumptions to your new-product gates.Since nearly a third of launches fail within a year and optimistic distribution numbers are easy to slip into a forecast.
Expect the steepest convexity in higher-revenue and more concentrated categories, and, separately, in beauty and personal-care product types, where thinly stocked products hold especially little share.Scrutinize wide-distribution assumptions most closely there, more than in flatter categories like diapers or toothbrushes.
Do not assume your strongest brand protects its smaller products: their thinly stocked items hold disproportionately little share too. The paper documents this pattern but does not test pruning or repositioning outcomes.So treat those remedies as an inference worth piloting, not a proven fix.
Treat retailer facing-concentration as context, not a validated lever: the paper offers it only as a likely explanation for the convex pattern.It does not model shelf-space allocation or test what concentrating facings on your best-distributed products would return.

Evidence

Across a category's products, market share is convex in how widely each one is stocked: the best-distributed products hold disproportionately more share than thinly stocked ones, and the gap is biggest at the high end.
This pattern held in 33 of 37 product categories studied, so it is the rule, not an exception.
A leading brand's own weakest products aren't spared either: within the brand's line, its thinly stocked products hold far less share per point of distribution than its best sellers do.
The pattern is steepest in higher-revenue and more concentrated categories, and, separately, in beauty and personal-care product types.
Roughly 29% of new products launched in 2004 had failed completely within twelve months; even category leaders failed about 32% of the time.
A brand's existing distribution-to-share curve predicts new products well, and it never flatters them: when a new product misses the curve, it misses low.

Key takeaway

Across a category's products, share is convex in distribution rather than proportional to it, so the best-distributed products hold disproportionately more share than thinly stocked ones.

Source

Wilbur, K. C., & Farris, P. W. (2014). Distribution and market share. Journal of Retailing, 90(2), 154–167. https://doi.org/10.1016/j.jretai.2013.08.003

Read the paper ↗

Evidence strength: Strong, but descriptive. The study documents a repeatable pattern, replicated across categories, linking how widely a product is stocked to its market share; it does not prove that adding distribution causes a proportional share gain, and it does not measure return, payback, or margins. Scope: US grocery, drug, and mass CPG categories; excludes Wal-Mart, club, convenience, and private label.