Companies that use Swym

Analyzed and validated by Henley Wing Chiu

Swym We detected 1,420 customers using Swym, 5,243 companies that churned, and 10 customers with upcoming renewal in the next 3 months. The most common industry is Retail (78%) and the most common company size is 2-10 employees (81%). We find new customers by detecting JavaScript snippets or configurations on customer websites.

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
EarthHero 2โ€“10 Retail US N/A 2026-01-17
Mustard 11โ€“50 Consumer Goods GB -6.7% 2026-01-02
BABYBOO Fashion 51โ€“200 Retail Apparel and Fashion AU -1.4% 2025-12-21
Pin Up Girl Clothing 2โ€“10 Retail US 0% 2025-12-03
Mundo In 51โ€“200 Furniture MX N/A 2025-11-25
Singular Society 2โ€“10 Retail SE -9.4% 2025-11-25
THE HAIR BAR TOKYO 2โ€“10 Retail JP N/A 2025-11-09
irodore๏ผˆๆ—งsuhada๏ผ‰ 2โ€“10 Retail JP N/A 2025-10-24
Curvy by Capriosca Swimwear 2โ€“10 Apparel & Fashion AU 0% 2025-10-22
NUDE PROJECT 51โ€“200 Retail Apparel and Fashion ES +57.6% 2025-10-21
CoffeeSweat 2โ€“10 Retail HK N/A 2025-10-20
By Jake Hall 2โ€“10 Retail GB N/A 2025-10-12
Wear Your Curls 2โ€“10 Retail US N/A 2025-10-08
Swazi New Zealand Ltd 11โ€“50 Apparel & Fashion NZ -8.7% 2025-09-06
LOLA & SOTO BUSINESS GROUP, INC. 51โ€“200 Retail US N/A 2025-08-31
schleichยฎ 201โ€“500 Manufacturing DE -20.5% 2025-07-30
Bellamianta 11โ€“50 Personal Care Product Manufacturing GB +8% 2025-07-23
TSONGA EUROPE 11โ€“50 Retail ZA N/A 2025-06-28
Orla Kiely 11โ€“50 Retail GB +16% 2025-06-08
ใƒžใ‚คใƒณใƒ‰ใ‚ฆใ‚คใƒณใƒ‰ๅ…ฌๅผใ‚ชใƒณใƒฉใ‚คใƒณใ‚นใƒˆใ‚ข 2โ€“10 Retail JP N/A 2025-05-30
Showing 1-20 of 1,420

Market Insights

๐Ÿข Top Industries

Retail 1047 (78%)
Retail Apparel and Fashion 84 (6%)
Apparel & Fashion 22 (2%)
Manufacturing 20 (1%)
Personal Care Product Manufacturing 16 (1%)

๐Ÿ“ Company Size Distribution

2-10 employees 1150 (81%)
11-50 employees 152 (11%)
51-200 employees 78 (6%)
201-500 employees 23 (2%)
501-1,000 employees 9 (1%)

๐Ÿ‘ฅ What types of companies is most likely to use Swym?

Source: Analysis of Linkedin bios of 1,420 companies that use Swym

Company Characteristics
i
Trait
Likelihood
Industry: Retail Apparel and Fashion
11.6x
Industry: Manufacturing
8.2x
Industry: Retail
6.4x
Country: AU
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.

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

Source: Analysis of tech stacks from 1,420 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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