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BigCommerce topic analytics
Topic
Updated July 13, 2026
BigCommerce

110 BigCommerce Coffee Stores: Stats & Market Data (2026)

110 active BigCommerce stores fall into the Coffee segment, with 1 newly added in the last 30 days. Among stores with catalog data, the most common product count range is 10-49, with prices typically in the Under $25 range. The leading categories are Food & Beverages, Apparel & Accessories, Home & Garden. 49% maintain social media profiles — Facebook leads — and 1% run Meta ad campaigns.

49%
Social media
1%
Meta ads
44%
Contact info
Total Stores
110
Active BigCommerce stores
New (30d)
1
Newly added in the last 30 days
Avg. Products
981
Among 110 stores with catalog data
Avg. Price
$101
Among 75 stores with pricing data

Growth trend

Stores newly indexed each month over the past 12 months

6 3 0
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun
Jul

1 new stores were added in the past 30 days (1% of the total). Growth is slow, suggesting this is a mature or saturated space. This is below the BigCommerce average of 8%.

Products & categories

How many products stores carry, plus category breakdown.

1-9 13 · 12%
10-49 39 · 35%
50-199 39 · 35%
200-999 15 · 14%
1k-4.9k 3 · 3%
5k+ 1 · 1%
Category coverage

Categories are non-exclusive -- a store can belong to more than one category, so percentages may add up to more than 100%.

Food & Beverages
98% coverage
Apparel & Accessories
5% coverage
Home & Garden
3% coverage
Books & Literature
2% coverage
Celebrations & Gifts
2% coverage
Electronics
2% coverage
Hardware
1% coverage
Health
1% coverage
Office Supplies
1% coverage
Sporting Goods
1% coverage

Among stores with catalog data, most have smaller catalogs in the 10-49 product range. The average is higher at 981 because some stores carry much larger inventories. That's smaller than the BigCommerce average of 2,607. The strongest country concentrations are Australia, United Kingdom, United States.

Pricing & currencies

How products are priced, plus the currencies stores list in.

Under $25 31 · 41%
$25-$49 24 · 32%
$50-$99 16 · 21%
$100-$199 1 · 1%
$500+ 3 · 4%
Store currencies
USD 84 AUD 9 GBP 4 CAD 2 EUR 1 SGD 1

Among stores with pricing data, the most common price range is Under $25. The average is higher at $101 because some stores price much higher, pulling it up. That's below the BigCommerce average of $343.

Social media platforms

Facebook (41%), Instagram (40%), Twitter / X (13%).

Facebook
41%
Instagram
40%
Twitter / X
13%
YouTube
8%
LinkedIn
5%
Pinterest
3%

About 49% of stores maintain social media profiles and 1% run Meta ads — moderate marketing investment overall.

Marketing & analytics tools

Google Analytics (62%), Facebook Pixel (33%), Google Tag Manager (14%).

Google Analytics
62%
Facebook Pixel
33%
Google Tag Manager
14%
Google Ads
10%
TikTok Pixel
5%
Pinterest Pixel
3%

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Representative stores

A varied sample - weighted by data completeness, refreshed daily

45 products $29 avg
Food & Beverages Coffee
148 products $53 avg
Food & Beverages Coffee
39 products $54 avg
Food & Beverages Coffee
38 products $35 avg
Food & Beverages Coffee
58 products $15 avg
Food & Beverages Coffee
60 products $65 avg
Food & Beverages Tea Coffee
60 products $12 avg
Food & Beverages Coffee
22 products $59 avg
Food & Beverages Coffee Tea
11 products $4 avg
Food & Beverages Coffee
28 products $31 avg
Food & Beverages Coffee Tea
160 products $16 avg
Food & Beverages Coffee

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FAQ

How many BigCommerce Coffee stores are there?

We currently track 110 active BigCommerce stores in the Coffee segment.

Are BigCommerce Coffee stores growing?

Yes. In the last 30 days, 1 new stores were indexed in the Coffee segment, showing a 1% monthly growth rate.

What is the average product price in BigCommerce Coffee stores?

Among stores with pricing data, the average listed price is about $101, with the most common pricing band at Under $25.

How often is the data updated?

The data is updated weekly. Most store records are refreshed within a few days of any change.

Can I export the data?

Yes. All paid plans include CSV exports. You can use the data for lead generation, market research, and competitor analysis.