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BigCommerce topic analytics
Topic
Updated June 8, 2026
BigCommerce

43 BigCommerce Vintage Stores: Stats & Market Data (2026)

43 active BigCommerce stores fall into the Vintage segment, with 0 newly added in the last 30 days. Among stores with catalog data, the most common product count range is 200-999, with prices typically in the Under $25 range. The leading categories are Antiques & Collectibles, Apparel & Accessories, Arts & Entertainment. 60% maintain social media profiles — Facebook leads — and 2% run Meta ad campaigns.

60%
Social media
2%
Meta ads
63%
Contact info
Total Stores
43
Active BigCommerce stores
New (30d)
0
Newly added in the last 30 days
Avg. Products
3,316
Among 42 stores with catalog data
Avg. Price
$378
Among 35 stores with pricing data

Growth trend

Stores newly indexed each month over the past 12 months

3 1 0
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
May
Jun

0 new stores were added in the past 30 days (0% of the total). Growth is slow, suggesting this is a mature or saturated space. This is below the BigCommerce average of 14%.

Products & categories

How many products stores carry, plus category breakdown.

1-9 2 · 5%
10-49 1 · 2%
50-199 7 · 17%
200-999 15 · 36%
1k-4.9k 9 · 21%
5k+ 8 · 19%
Category coverage

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

Apparel & Accessories
7% coverage
Arts & Entertainment
5% coverage
Jewelry & Watches
5% coverage
Celebrations & Gifts
2% coverage
Home & Garden
2% coverage
Toys & Games
2% coverage

Among stores with catalog data, the 200-999 product range is most common. The average is 3,316 products per store. That's larger than the BigCommerce average of 2,714. The strongest country concentrations are Australia, Italy.

Pricing & currencies

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

Under $25 11 · 31%
$25-$49 6 · 17%
$50-$99 5 · 14%
$100-$199 5 · 14%
$200-$499 3 · 9%
$500+ 5 · 14%
Store currencies
USD 29 AUD 4 EUR 2 CAD 1

Among stores with pricing data, the most common price range is Under $25. The average is higher at $378 because some stores price much higher, pulling it up. That's above the BigCommerce average of $344.

Social media platforms

Facebook (53%), Instagram (47%), Twitter / X (19%).

Facebook
53%
Instagram
47%
Twitter / X
19%
Pinterest
14%
YouTube
14%

Social media adoption is strong at 60%, and 2% of stores run Meta ad campaigns.

Marketing & analytics tools

Google Analytics (53%), Facebook Pixel (16%), Google Tag Manager (9%).

Google Analytics
53%
Facebook Pixel
16%
Google Tag Manager
9%
Google Ads
7%
Pinterest Pixel
2%
TikTok Pixel
2%

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Representative stores

A varied sample - weighted by data completeness, refreshed daily

2,030 products $49 avg 1 ads
Antiques & Collectibles vintage antiques
2,499 products $181 avg
85 products $240 avg
Apparel & Accessories vintage men's clothing
423 products $255 avg
Antiques & Collectibles vintage collectibles
876 products $110 avg
Antiques & Collectibles antiques vintage
254 products $65 avg
Antiques & Collectibles collectibles figurines
784 products $12 avg
Antiques & Collectibles collectibles memorabilia
277 products $49 avg
Antiques & Collectibles collectible vintage
463 products $67 avg
Arts & Entertainment Celebrations & Gifts vintage home decor
954 products $5 avg
Antiques & Collectibles vintage lighting
437 products $21 avg
Antiques & Collectibles collectibles vintage

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FAQ

How many BigCommerce Vintage stores are there?

We currently track 43 active BigCommerce stores in the Vintage segment.

Are BigCommerce Vintage stores growing?

Yes. In the last 30 days, 0 new stores were indexed in the Vintage segment, showing a 0% monthly growth rate.

What is the average product price in BigCommerce Vintage stores?

Among stores with pricing data, the average listed price is about $378, 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.