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The Eightx E-commerce Penetration Index · Live · updated June 24, 2026

How much of your category is actually bought online?

"16.9% of retail is e-commerce" hides the only number that matters to you: yours. Online is 44% of clothing but under 1% of fuel. Where your category sits decides your retail-vs-DTC mix and where the next dollar of growth comes from. A monthly model, reconciled to the official Census national share.

The read · Apr 2026

E-commerce is 16.9% of US retail and climbing — but it runs from 44% of clothing to under 1% of fuel.

The official national share is just the dollar-weighted average of every category below. Our model projects it reaches about 17.35% by Oct 2026.

16.9%national e-commerce share · official Census · Apr 2026
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16%17%18%now▸ ProjectionJan '25Apr '26Oct '26
Official share (Census) Model projection Likely range (80%)

Estimated online penetration by category · Apr 2026

1
Clothing & accessories
44.2%
model estimate ±6.6 pts · $24.6B of $55.6B online
16-mo trend
in 6 mo45%
2
Sporting goods, hobby & books
44.1%
model estimate ±6.6 pts · $10.7B of $24.2B online
16-mo trend
in 6 mo45%
3
Electronics & appliances
42.1%
model estimate ±6.3 pts · $11.7B of $27.7B online
16-mo trend
in 6 mo43%
4
Miscellaneous (office, gifts, florists)
35.7%
model estimate ±5.3 pts · $9.6B of $26.9B online
16-mo trend
in 6 mo36%
5
Furniture & home furnishings
29.8%
model estimate ±4.4 pts · $5.8B of $19.5B online
16-mo trend
in 6 mo30%
6
General merchandise
19.8%
model estimate ±2.9 pts · $20.1B of $101.4B online
16-mo trend
in 6 mo20%
7
Health & personal care
17.8%
model estimate ±2.6 pts · $9.6B of $54.2B online
16-mo trend
in 6 mo18%
8
Building materials & garden
13.0%
model estimate ±1.9 pts · $6.2B of $47.5B online
16-mo trend
in 6 mo13%
9
Food & beverage
5.9%
model estimate ±0.9 pts · $5.6B of $93.9B online
16-mo trend
in 6 mo6%
10
Motor vehicles & parts
4.6%
model estimate ±0.7 pts · $6.6B of $142.8B online
16-mo trend
in 6 mo5%
11
Gasoline stations
0.6%
model estimate ±0.4 pts · $0.4B of $62.3B online
16-mo trend
in 6 mo1%

Bars scaled to the leading category. "In 6 mo" is the model's projected penetration. Each row is an estimate of how much of that category's total product demand is bought online — including pure-play sales attributed back to the category — not the raw store-channel split.

How this model works & sources

The problem. The U.S. Census Bureau publishes total retail sales by category every month (MRTS) and the national e-commerce share every quarter (ECOMPCTSA via FRED, currently 16.9%), but it does not publish online share within each category. Worse, a sweater bought on a pure-play site is booked as "nonstore," not as apparel — so raw category sales understate where products are really bought.

The model. Three steps, all in transparent arithmetic. (1) We redistribute nonstore (pure-play) demand back into the product categories it represents using a product-mix prior, forming each category's true product-demand base. (2) We estimate each category's online penetration with a logistic adoption curve (the standard S-shaped diffusion-of-innovations model; Rogers 1962, Bass 1969) calibrated to that category's known starting level. (3) We reconcile those penetrations to the official national e-commerce share by iterative proportional fitting (the Deming–Stephan 1940 / Stone RAS method), solving a single scaling factor so the dollar-weighted average penetration equals the official national figure exactly. The category priors only have to be right in relative terms; the absolute level is pinned to Census every month, so the estimates self-correct. The ±band widens with months since the last national print (3 now) and with each category's distance from the anchor.

What it is and isn't. A labeled model nowcast, not a survey of actual transactions. Priors are seeded from 2022 Census product-line E-Stats + industry e-commerce benchmarks. Sources: U.S. Census Bureau Monthly Retail Trade Survey (seasonally adjusted) and the Federal Reserve's ECOMPCTSA series. For company-level reads, see the Public DTC Leaderboard and the DTC Macro Pulse. For the category-by-category editorial deep dive, see e-commerce penetration by category, or browse all live indexes. Powered by hub.eightx.co.

Channel strategy for your brand

Is your category's shift online a tailwind or a threat?

Where your category sits on this curve changes everything about pricing, retail-vs-DTC mix and where the next dollar of growth comes from. We help DTC brands read it and act on it.

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