Companies that use Swym

Analyzed and validated by Henley Wing Chiu

Swym We detected 1,429 customers using Swym, 5,174 companies that churned or ended their trial, and 7 customers with estimated renewals in the next 3 months. The most common industry is Retail (79%) and the most common company size is 2-10 employees (81%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.

About Swym

Swym captures shopper intent through wishlist, back-in-stock alerts, and save-for-later features, then uses this first-party data to create personalized shopping experiences and automated marketing campaigns that drive conversions and boost customer loyalty across 45,000+ e-commerce brands.

⏱️ Data is delayed by 1 month. To show real-time data, sign up for a free trial or login
Company Employees Industry Region YoY Headcount Growth Usage Start Date
VELA 2–10 Retail Apparel and Fashion US +81.8% 2025-12-21
BABYBOO Fashion 51–200 Retail Apparel and Fashion AU -1.4% 2025-12-21
Pin Up Girl Clothing 2–10 Retail US 0% 2025-12-03
Shellsea 11–50 Retail US N/A 2025-12-03
Mundo In 51–200 Furniture MX N/A 2025-11-25
Singular Society 2–10 Retail SE -9.4% 2025-11-25
Drops - Contemporary Wines 2–10 Retail DE N/A 2025-11-22
THE HAIR BAR TOKYO 2–10 Retail JP N/A 2025-11-09
Curvy by Capriosca Swimwear 2–10 Apparel & Fashion AU 0% 2025-10-22
NUDE PROJECT 51–200 Retail Apparel and Fashion ES +57.6% 2025-10-21
By Jake Hall 2–10 Retail GB N/A 2025-10-12
Wear Your Curls 2–10 Retail US N/A 2025-10-08
Boatseats.com 11–50 Sporting Goods Manufacturing US N/A 2025-09-28
Swazi New Zealand Ltd 11–50 Apparel & Fashion NZ -8.7% 2025-09-06
LOLA & SOTO BUSINESS GROUP, INC. 51–200 Retail US N/A 2025-08-31
schleich® 201–500 Manufacturing DE -20.5% 2025-07-30
Bellamianta 11–50 Personal Care Product Manufacturing GB +8% 2025-07-23
Orla Kiely 11–50 Retail GB +16% 2025-06-08
マインドウインド公式オンラインストア 2–10 Retail JP N/A 2025-05-30
MagpieBeautyUSA 2–10 Retail US N/A 2025-05-17
Showing 1-20 of 1,429

Market Insights

🏢 Top Industries

Retail 1059 (79%)
Retail Apparel and Fashion 79 (6%)
Apparel & Fashion 20 (1%)
Manufacturing 20 (1%)
Personal Care Product Manufacturing 17 (1%)

📏 Company Size Distribution

2-10 employees 1161 (81%)
11-50 employees 155 (11%)
51-200 employees 74 (5%)
201-500 employees 23 (2%)
501-1,000 employees 8 (1%)

🔧 What other technologies do Swym customers also use?

Source: Analysis of tech stacks from 1,429 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.

👥 What types of companies is most likely to use Swym?

Source: Analysis of Linkedin bios of 1,429 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.

Alternatives and Competitors to Swym

Explore vendors that are alternatives in this category

Insider Insider Promi Promi Listrak Listrak Rebuy Engine Rebuy Engine OctaneAI OctaneAI Voyado Voyado TrenDemon TrenDemon Salesforce Marketing Cloud Personalization Salesforce Marketing Cloud Personalization Contentsquare Contentsquare Iterable Iterable Klaviyo Klaviyo Movable Ink Movable Ink Zeta Zeta Optimizely Digital Experience Optimizely Digital Experience Braze Braze Webengage Webengage Nosto Nosto Customer.io Journeys Customer.io Journeys MoEngage MoEngage Bloomreach Bloomreach Mutiny Mutiny Clevertap Clevertap connectif connectif Bluecore Bluecore Dynamic Yield Dynamic Yield Fresh Relevance Fresh Relevance BlackCrow AI BlackCrow AI DotDigital DotDigital Segmentify Segmentify Adobe Experience Cloud Adobe Experience Cloud Epsilon Accelerate Epsilon Accelerate UseDrop UseDrop Permut Permut Frenzy Frenzy Shogun Shogun Maestra Maestra Tofu Tofu Monocle Monocle Dynamics Customer Journey Dynamics Customer Journey

Loading data...