Companies that use Swym

Analyzed and validated by Henley Wing Chiu

Swym We detected 1,315 companies using Swym, 5,613 companies that churned, and 7 customers with upcoming renewal in the next 3 months. The most common industry is Retail (77%) and the most common company size is 2-10 employees (79%). We find new customers by detecting JavaScript snippets or configurations on customer websites.

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Company Employees Industry Country Region Usage Start Date
GREAT AMERICAN JEWELRY ONLINE 2–10 Retail
US United States
North America 2026-04-30
Ivy City Co. 51–200 Retail Apparel and Fashion
US United States
North America 2026-04-18
CSD.Shop 11–50 Retail Apparel and Fashion
GB United Kingdom
Europe 2026-04-06
Vapourcore Online Ltd. 11–50 Retail
GB United Kingdom
Europe 2026-03-24
Baby Phat Jeans LLC 51–200 Retail Apparel and Fashion
US United States
North America 2026-03-22
Rose Shadow Collection 2–10 N/A N/A North America 2026-03-17
MARKARIAN 2–10 Retail Apparel and Fashion
US United States
North America 2026-03-08
Universal Standard 11–50 Retail Apparel and Fashion
US United States
North America 2026-03-04
Cotswolds Distillery 51–200 Wine & Spirits
GB United Kingdom
Europe 2026-03-04
By Livi 2–10 N/A
DK Denmark
Europe 2026-03-04
Sparkle In Pink 11–50 Retail
US United States
North America 2026-02-26
Vegan Store Ltd 2–10 Retail
MT MT
Europe 2026-01-30
Maison7 2–10 Retail
AE UAE
Europe 2026-01-25
EarthHero 2–10 Retail
US United States
North America 2026-01-17
Mustard 11–50 Consumer Goods
GB United Kingdom
Europe 2026-01-02
VELA 2–10 Retail Apparel and Fashion
US United States
North America 2025-12-21
BABYBOO Fashion 51–200 Retail Apparel and Fashion
AU Australia
Oceania 2025-12-21
Pin Up Girl Clothing 2–10 Retail
US United States
North America 2025-12-03
Salty Mermaid Swimwear 2–10 Retail Apparel and Fashion
US United States
N/A 2025-12-03
Singular Society 2–10 Retail
SE Sweden
Europe 2025-11-25
Showing 1-20

Market Insights

🏢 Top Industries

Retail 956 (77%)
Retail Apparel and Fashion 78 (6%)
Apparel & Fashion 22 (2%)
Retail Luxury Goods and Jewelry 20 (2%)
Manufacturing 16 (1%)

📏 Company Size Distribution

2-10 employees 1036 (79%)
11-50 employees 152 (12%)
51-200 employees 81 (6%)
201-500 employees 22 (2%)
501-1,000 employees 7 (1%)

👥 What types of companies use Swym?

Source: Analysis of Linkedin bios of 1,315 companies that use Swym

Company Characteristics
i
Trait
Likelihood
Industry: Luxury Goods & Jewelry
44.4x
Industry: Apparel & Fashion
30.1x
Industry: Retail Apparel and Fashion
22.0x
Country: Ireland
6.6x
Country: Australia
2.2x
Country: United Kingdom
1.4x
I noticed that Swym's customers are overwhelmingly product-focused retailers and consumer brands, spanning fashion, jewelry, home goods, food and beverage, and lifestyle products. These aren't service businesses or SaaS companies. They're selling physical things: retro dresses, luxury jewelry, organic rice, tanning products, vinyl records, workout apparel, and matcha tea. Many operate in the "considered purchase" space where customers browse extensively before buying.

Most of these companies sit in the growth stage, not early startup or mature enterprise. The employee counts cluster between 10-200, with many in the 11-50 range. Very few show institutional funding, and when they do, it's modest Series A or B rounds. They've moved past scrappy launch phase but haven't scaled to corporate bureaucracy. They're at that inflection point where they need sophisticated ecommerce tools but can't build everything custom. They have enough revenue to invest in platforms like Swym but still care deeply about ROI.

🔧 What other technologies do Swym customers also use?

Source: Analysis of tech stacks from 1,315 companies that use Swym

Commonly Paired Technologies
i
Technology
Likelihood
93.1x
60.7x
52.5x
32.5x
27.7x
24.0x
I noticed that Swym users are clearly e-commerce companies, specifically those building on Shopify. The overwhelmingly strong correlation with Shopify (24x more likely, 1306 companies) tells me these are predominantly direct-to-consumer brands rather than traditional retailers. The presence of tools like Klaviyo, Yotpo, and Smile.io suggests they're sophisticated online merchants focused on customer retention and repeat purchases.

The pairing with Klaviyo makes perfect sense because Swym is a wishlist and shopping list tool, and Klaviyo excels at email marketing automation. These companies are likely sending targeted campaigns about wishlisted items, price drops, and back-in-stock notifications. The strong correlation with Smile.io (52.5x more likely) reinforces this retention focus since it's a loyalty program platform. Together, these tools create a system that encourages customers to save items, come back, and earn rewards for repeat purchases. Yotpo's presence (60.7x more likely) adds social proof through reviews, helping convert those wishlist browsers into buyers.

The full stack reveals marketing-led companies obsessed with customer lifetime value rather than one-time transactions. These aren't early-stage startups experimenting with basic tools. They're growth-stage or mature e-commerce brands that have moved beyond just acquiring customers and are now investing in retention infrastructure. The presence of Route.com for shipping insurance and Boost Commerce for site search suggests they're handling meaningful order volumes and optimizing the entire shopping experience.

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