Use Cases Features Pricing API Log in
BigCommerce topic analytics
Topic
Updated May 18, 2026
BigCommerce

37 BigCommerce Cutlery Stores: Stats & Market Data (2026)

37 active BigCommerce stores fall into the Cutlery segment, with 6 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 $50-$99 range. The leading categories are Hardware, Home & Garden, Arts & Entertainment. 57% maintain social media profiles — Facebook leads — and 0% run Meta ad campaigns.

57%
Social media
0%
Meta ads
54%
Contact info
Total Stores
37
Active BigCommerce stores
New (30d)
6
Newly added in the last 30 days
Avg. Products
6,866
Among 37 stores with catalog data
Avg. Price
$157
Among 29 stores with pricing data

Growth trend

Stores newly indexed each month over the past 12 months

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

6 new stores were added in the past 30 days — 16% of the total, making this one of the fastest-growing areas on the platform.

Products & categories

How many products stores carry, plus category breakdown.

1-9 1 · 3%
10-49 3 · 8%
50-199 3 · 8%
200-999 13 · 35%
1k-4.9k 7 · 19%
5k+ 10 · 27%
Category coverage

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

Hardware
32% coverage
Home & Garden
14% coverage
Arts & Entertainment
8% coverage
Apparel & Accessories
5% coverage
Food & Beverages
5% coverage
Celebrations & Gifts
3% coverage
Office Supplies
3% coverage
Toys & Games
3% coverage

Among stores with catalog data, the 200-999 product range is most common. The average is 6,866 products per store. That's larger than the BigCommerce average of 2,677. The strongest country concentrations are United States, Australia, Canada.

Pricing & currencies

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

Under $25 3 · 10%
$25-$49 2 · 7%
$50-$99 10 · 34%
$100-$199 4 · 14%
$200-$499 9 · 31%
$500+ 1 · 3%
Store currencies
USD 25 CAD 2 AUD 1 EUR 1 NZD 1

Among stores with pricing data, most prices fall in the $50-$99 range. The average listed price is $157. That's below the BigCommerce average of $352.

Social media platforms

Facebook (51%), Instagram (46%), Twitter / X (24%).

Facebook
51%
Instagram
46%
Twitter / X
24%
YouTube
22%
Pinterest
14%
LinkedIn
5%
TikTok
5%

Social media adoption is strong at 57%, and 0% of stores run Meta ad campaigns.

Marketing & analytics tools

Google Analytics (70%), Facebook Pixel (35%), Google Tag Manager (22%).

Google Analytics
70%
Facebook Pixel
35%
Google Tag Manager
22%
Google Ads
16%
TikTok Pixel
5%

Need store-level data?

Export emails, social profiles, and tech stacks for every store in this segment.

Start Free Trial

Representative stores

A varied sample - weighted by data completeness, refreshed daily

25 products $41 avg
Hardware knives tools
51 products $68 avg
VictoryKnives New Zealand
229 products $90 avg
1,325 products $372 avg
435 products $129 avg
Hardware Apparel & Accessories knives distributor
2,453 products $180 avg
30 products $124 avg
Hardware knives cutlery
539 products $22 avg
Hardware Food & Beverages kitchen utensils cutlery

Want the full dataset?

Access complete store details - emails, phone numbers, social profiles, tech stack - and export unlimited data as CSV.

Start Free Trial

FAQ

How many BigCommerce Cutlery stores are there?

We currently track 37 active BigCommerce stores in the Cutlery segment.

Are BigCommerce Cutlery stores growing?

Yes. In the last 30 days, 6 new stores were indexed in the Cutlery segment, showing a 16% monthly growth rate.

What is the average product price in BigCommerce Cutlery stores?

Among stores with pricing data, the average listed price is about $157, with the most common pricing band at $50-$99.

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.