Companies that use Boost Commerce

Analyzed and validated by Henley Wing Chiu ยท Updated
All โ€บ ecommerce search โ€บ Boost Commerce

Boost Commerce We detected 5,425 companies using Boost Commerce, 2,281 companies that churned, and 114 customers with upcoming renewal in the next 3 months. The most common industry is Retail (61%) and the most common company size is 2-10 employees (63%). We find new customers by detecting JavaScript snippets or configurations on customer websites. Note: We can't detect companies that use Boost Commerce with a headless implementation or backend search

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Company Employees Industry Country Region Usage Start Date
Fitz and Floyd 201โ€“500 Manufacturing
United States
North America 2026-06-10
SPARKLE COLLECTION 2โ€“10 Retail
Hong Kong
Asia 2026-06-06
MH RESELL 2โ€“10 Retail
Japan
Asia 2026-06-06
HipKids 2โ€“10 Retail
Australia
Oceania 2026-06-05
Barber Temple 2โ€“10 Cosmetology and Barber Schools
Australia
Oceania 2026-06-03
OMAC GLOBAL 51โ€“200 Automotive
Turkey
Europe 2026-06-01
Traverseon 2โ€“10 Retail
Hong Kong
Asia 2026-05-31
GANNIKUS Original 2โ€“10 Retail
Germany
Europe 2026-05-30
Thrills 51โ€“200 Retail
Australia
Oceania 2026-05-28
Gibsonlook 11โ€“50 Retail
United States
North America 2026-05-26
EMEET 201โ€“500 Retail Office Equipment
United States
North America 2026-05-26
BURDENS - plumbing | bathroom | kitchen 201โ€“500 Building Materials
Australia
Oceania 2026-05-26
RealGreek.com 2โ€“10 Retail
United States
North America 2026-05-25
Matcha Motors Japan Auto Parts 2โ€“10 Retail
Japan
Asia 2026-05-25
Helico Performance | Delivered 2โ€“10 Retail
Switzerland
Europe 2026-05-21
Huxbaby 2โ€“10 Apparel & Fashion
Australia
N/A 2026-05-18
Totally Toronto Art 2โ€“10 Retail
Canada
N/A 2026-05-17
Cashmirino 11โ€“50 Retail
United Kingdom
Europe 2026-05-17
Bonka Bird Toys 2โ€“10 Retail
United States
North America 2026-05-17
Alter Ego Running 11โ€“50 Retail Apparel and Fashion
United States
N/A 2026-05-16
Showing 1-20

New Users (Companies) Detected Over Time

i

Market Insights

๐Ÿข Top Industries

Retail 3218 (61%)
Retail Apparel and Fashion 461 (9%)
Retail Luxury Goods and Jewelry 143 (3%)
Manufacturing 126 (2%)
Apparel & Fashion 115 (2%)

๐Ÿ“ Company Size Distribution

2-10 employees 3372 (63%)
11-50 employees 1159 (22%)
51-200 employees 539 (10%)
201-500 employees 161 (3%)
1,001-5,000 employees 58 (1%)

๐Ÿ‘ฅ What types of companies use Boost Commerce?

Source: Analysis of Linkedin bios of 5,425 companies that use Boost Commerce

Company Characteristics
i
Trait
Likelihood
Industry: Luxury Goods & Jewelry
27.6x
Industry: Apparel & Fashion
25.3x
Industry: Retail Luxury Goods and Jewelry
23.5x
Funding Stage: Debt financing
4.7x
Country: Philippines
4.1x
Funding Stage: Private equity
3.8x
I noticed that Boost Commerce primarily serves product-focused retail and e-commerce businesses selling physical goods. These aren't software companies or service providers. They're businesses moving tangible products like bicycles, coffee equipment, outdoor gear, jewelry, apparel, furniture, cosmetics, and sporting goods. Whether it's Reid Cycles selling bikes direct to consumers, Bottle Barn offering fine wines, or Jamie Kay creating children's clothing, these companies need robust e-commerce infrastructure to showcase extensive product catalogs.

These are predominantly established small to medium businesses, not early-stage startups. Most have 11-50 employees, though some reach 51-200. They reference founding dates from decades ago (Truefitt & Hill since 1805, Uncle Sam's since 1969, Interwood since 1974), suggesting mature operations. Only a handful mention funding rounds, and those are typically seed stage. The majority appear to be bootstrapped, profitable businesses that have grown organically. They have physical locations alongside e-commerce operations, indicating they've reached a scale requiring sophisticated digital infrastructure.

๐Ÿ”ง What other technologies do Boost Commerce customers also use?

Source: Analysis of tech stacks from 5,425 companies that use Boost Commerce

Commonly Paired Technologies
i
Technology
Likelihood
92.0x
90.8x
89.2x
65.2x
38.8x
26.3x
I noticed that Boost Commerce users are almost exclusively e-commerce companies built on Shopify, with the platform appearing 26.3 times more often than normal. This isn't just any Shopify store though. The correlation with premium tools like Klaviyo, Gorgias, and Attentive tells me these are sophisticated, growth-stage merchants who've moved beyond basic store functionality and are investing heavily in customer retention and experience optimization.

The pairing with Klaviyo (38.8x more likely) and Attentive (65.2x more likely) is particularly revealing. These companies are running sophisticated email and SMS marketing campaigns, suggesting they have substantial customer databases and are focused on lifecycle marketing rather than just acquisition. The strong correlation with Gorgias (90.8x more likely) reinforces this, since it means they're handling enough customer service volume to need dedicated helpdesk software. Together, these tools paint a picture of merchants actively nurturing customer relationships at scale.

What really caught my attention is Rebuy Engine appearing 89.2 times more often. This is a personalization and upsell engine, which means these companies are optimizing for average order value and repeat purchases. Combined with Searchanise (92.0x more likely), they're clearly dealing with large product catalogs where search and discovery become critical bottlenecks.

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