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BigCommerce topic analytics
Topic
Updated Apr 6, 2026
BigCommerce

40 BigCommerce E-cigarettes Stores: Stats & Market Data (2026)

40 active BigCommerce stores fall into the E-cigarettes segment, with 1 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 Smoking & Vaping, Electronics, Food & Beverages. 52% maintain social media profiles — Instagram leads — and 0% run Meta ad campaigns.

52%
Social media
0%
Meta ads
75%
Contact info
Total Stores
40
Active BigCommerce stores
New (30d)
1
Newly added in the last 30 days
Avg. Products
2,142
Among 40 stores with catalog data
Avg. Price
$28
Among 23 stores with pricing data

Growth trend

Stores newly indexed each month over the past 12 months

2 1 0
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr

1 new stores were added in the past 30 days (2% of the total). Growth has slowed, but new stores are still opening.

Products & categories

How many products stores carry, plus category breakdown.

1-9 3 · 8%
10-49 6 · 15%
50-199 8 · 20%
200-999 13 · 32%
1k-4.9k 7 · 18%
5k+ 3 · 8%
Category coverage

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

Smoking & Vaping
100% coverage
Electronics
5% coverage
Food & Beverages
2% coverage

Among stores with catalog data, the 200-999 product range is most common. The average is 2,142 products per store. That's smaller than the BigCommerce average of 2,562. The strongest country concentrations are United Kingdom.

Pricing & currencies

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

Under $25 14 · 61%
$25-$49 6 · 26%
$50-$99 3 · 13%
Store currencies
USD 29 CAD 2

Among stores with pricing data, the most common price range is Under $25. The average is higher at $28 because some stores price much higher, pulling it up. That's below the BigCommerce average of $341.

Social media platforms

Instagram (50%), Facebook (42%), Twitter / X (22%).

Instagram
50%
Facebook
42%
Twitter / X
22%
YouTube
15%
LinkedIn
2%
Pinterest
2%
TikTok
2%

Social media adoption is strong at 52%, and 0% of stores run Meta ad campaigns. That's 21 percentage points below the BigCommerce average of 73%.

Marketing & analytics tools

Google Analytics (68%), Google Tag Manager (12%), Facebook Pixel (2%).

Google Analytics
68%
Google Tag Manager
12%
Facebook Pixel
2%
Google Ads
2%

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Representative stores

A varied sample — weighted by data completeness, refreshed daily

766 products $17 avg
Smoking & Vaping vape juice e-cigarettes
1,726 products $86 avg
Smoking & Vaping smoke shop vape store
2,842 products $17 avg
Smoking & Vaping vape shop e-cigarettes
24 products $40 avg
Electronics Smoking & Vaping e-cigarettes vaping
1,576 products $32 avg
Smoking & Vaping vaping e-liquids
1,589 products $2 avg
Smoking & Vaping smoking accessories e-cigarettes
119 products $19 avg
Smoking & Vaping disposable vapes cbd hemp products
8 products
Smoking & Vaping Food & Beverages vape shop e-cigarettes
422 products
Smoking & Vaping disposable vapes e-cigarettes
195 products $54 avg
Smoking & Vaping vape products e-cigarettes
65 products $43 avg
Smoking & Vaping vaping e-cigarettes
414 products $9 avg
Smoking & Vaping disposable vapes e-cigarettes

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FAQ

How many BigCommerce E-cigarettes stores are there?

We currently track 40 active BigCommerce stores in the E-cigarettes segment.

Are BigCommerce E-cigarettes stores growing?

Yes. In the last 30 days, 1 new stores were indexed in the E-cigarettes segment, showing a 2% monthly growth rate.

What is the average product price in BigCommerce E-cigarettes stores?

Among stores with pricing data, the average listed price is about $28, 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.