Companies that use Signifyd

Analyzed and validated by Henley Wing Chiu
All โ€บ ecommerce fraud protection โ€บ Signifyd

Signifyd We detected 1,344 customers using Signifyd, 179 companies that churned or ended their trial, and 29 customers with estimated renewals in the next 3 months. The most common industry is Retail (63%) and the most common company size is 2-10 employees (59%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.

Note: We can't detect customers with API-only implementations or using it in mobile apps only (edge cases)

About Signifyd

Signifyd provides an end-to-end commerce protection platform that uses machine learning and a global commerce network to help ecommerce retailers prevent fraud and abuse, maximize order approvals, and automate customer experiences with a 100% financial guarantee against fraudulent transactions and chargebacks.

โฑ๏ธ 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
Don Brown Bus Parts 2โ€“10 Retail US N/A 2025-12-18
R & Y A/C Compressors 11โ€“50 Motor Vehicle Manufacturing US N/A 2025-12-15
Something Greek 11โ€“50 Apparel & Fashion US 0% 2025-12-14
Grip Genie 2โ€“10 Retail US N/A 2025-12-04
InfinitDrones 11โ€“50 Aviation and Aerospace Component Manufacturing CA N/A 2025-12-03
Valvetronic Designs 11โ€“50 Motor Vehicle Parts Manufacturing US +18.2% 2025-12-03
TekReplay 11โ€“50 Computers and Electronics Manufacturing US -27.8% 2025-12-01
zlikehair 2โ€“10 Retail US N/A 2025-11-17
Pujรจ 2โ€“10 Retail GB N/A 2025-11-17
LittleStuff4u Cosmetics 2โ€“10 N/A N/A N/A 2025-11-14
Altitude-sports.com 201โ€“500 Retail CA -0.8% 2025-11-08
Rose & Bolt Grateful Dead Jewelry / Hiouchi Jewels 2โ€“10 Retail US N/A 2025-11-06
Runnings 1,001โ€“5,000 Retail US N/A 2025-11-01
Cha Cha Boutique 2โ€“10 Retail US N/A 2025-10-31
Pangea 2โ€“10 Retail SG N/A 2025-10-23
Dr. BRANDT 51โ€“200 Cosmetics US 0% 2025-10-23
Carl's Golfland 51โ€“200 Sporting Goods Manufacturing US 0% 2025-10-19
Tennis Express 51โ€“200 Sporting Goods Manufacturing US 0% 2025-10-17
Modern Nurseryโ„ข 2โ€“10 Retail US N/A 2025-10-11
Roseglam Beauty 2โ€“10 Retail DE N/A 2025-10-03
Showing 1-20 of 1,344

Market Insights

๐Ÿข Top Industries

Retail 776 (63%)
Retail Apparel and Fashion 99 (8%)
Manufacturing 36 (3%)
Retail Luxury Goods and Jewelry 33 (3%)
Wellness and Fitness Services 26 (2%)

๐Ÿ“ Company Size Distribution

2-10 employees 788 (59%)
51-200 employees 194 (15%)
11-50 employees 181 (14%)
201-500 employees 81 (6%)
1,001-5,000 employees 38 (3%)

๐Ÿ“Š Who in an organization decides to buy or use Signifyd?

Source: Analysis of 100 job postings that mention Signifyd

Job titles that mention Signifyd
i
Job Title
Share
Fraud Analyst
24%
Fraud Prevention Specialist
16%
Product Manager
12%
Accounts Receivable/Reconciliation Specialist
12%
My analysis shows that Signifyd's buyers are primarily concentrated in fraud operations, payments, and finance departments. The Vice President of Customer Success role at Signifyd itself reveals the company sells into enterprise retailers, while Corporate Development Analysts reference Signifyd as a minority investment target for major payment processors. Product Managers in payments and fraud platforms are key decision-makers, responsible for integrating Signifyd into their checkout and order management ecosystems. Their strategic priorities focus on reducing fraud losses while maintaining conversion rates and minimizing friction for legitimate customers.

The day-to-day users are overwhelmingly fraud analysts and operations teams who rely on Signifyd's fraud prevention platform to review flagged transactions, approve or reject orders, and identify emerging fraud patterns. Reconciliation specialists use Signifyd to verify orders and reconcile merchant provider statements, while customer service teams interact with the system when handling order inquiries. These practitioners spend their days monitoring alerts, investigating suspicious activity, and maintaining accurate documentation for chargeback management.

The core pain points center on balancing fraud prevention with customer experience. Companies seek to minimize "fraud losses" and "chargeback losses" while avoiding "false positives" that hurt legitimate sales. One posting explicitly mentions needing to "maximize customers' revenue and their security," while another emphasizes "maintaining minimal friction at checkout for genuine customers." The recurring theme is protecting revenue without sacrificing conversion rates, with roles focused on "continuous improvements in payment fraud processes" to achieve optimal risk-reward balance.

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

Source: Analysis of tech stacks from 1,344 companies that use Signifyd

Commonly Paired Technologies
i
Technology
Likelihood
1427.1x
386.9x
102.4x
83.8x
38.3x
20.3x
I noticed that Signifyd users are predominantly e-commerce companies, specifically direct-to-consumer brands operating on modern commerce platforms. The overwhelming presence of Shopify (1,043 companies) combined with marketing automation tools like Klaviyo and Attentive tells me these are digital-first retailers focused on customer acquisition and retention through owned channels.

The pairing of Signifyd with Klaviyo makes immediate sense because both address critical e-commerce needs. While Signifyd handles fraud prevention and payment protection, Klaviyo manages email and SMS marketing campaigns. These companies are processing enough transactions to worry about chargebacks and fraud while simultaneously investing in sophisticated customer communication. The extremely strong correlation with Attentive (102.4x more likely) reinforces this, since SMS marketing represents a mature growth strategy that requires substantial order volume to justify. Yotpo's presence suggests these brands also care deeply about social proof and user-generated content, which is classic DTC playbook behavior.

The full stack reveals marketing-led growth companies that have moved beyond startup phase. They're investing in premium tools across the customer journey, from fraud prevention to retention marketing to customer service automation (DigitalGenius). This isn't the lean stack of an early-stage company. These businesses are likely doing seven or eight figures in annual revenue, managing thousands of transactions monthly, and dealing with the operational complexities that come with scale.

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

Source: Analysis of Linkedin bios of 1,344 companies that use Signifyd

Company Characteristics
i
Trait
Likelihood
Industry: Retail Luxury Goods and Jewelry
22.3x
Industry: Retail Apparel and Fashion
13.8x
Industry: Retail
7.7x
Country: US
1.9x
Country: CA
1.6x
Company Size: 51-200
1.5x
I noticed that Signifyd's typical customers are predominantly retail and e-commerce companies selling physical products directly to consumers. These aren't software companies or B2B service providers. They're businesses moving tangible goods: apparel brands like LoveShackFancy and Blakely Clothing, footwear retailers like Boot Barn and Keds, sporting goods sellers like Tennis Express, beauty products from brands like Dr. BRANDT and Proactiv, and specialty retailers ranging from drone equipment to luxury handbags. Even the less obviously retail-focused companies like Pura or Halfday Iced Tea are consumer product brands selling through online channels.

These companies span the maturity spectrum, though most appear to be established businesses rather than early startups. I see major enterprises like Boot Barn with 10,000+ employees and Authentic Brands Group generating $32 billion in retail sales, alongside mature mid-market players like Runnings (75+ years, 3,500 employees) and smaller but established operations like TekReplay (since 2008). Very few show typical startup signals like recent seed funding or small teams.

Alternatives and Competitors to Signifyd

Explore vendors that are alternatives in this category

Sift Sift Seon Seon Bureau Bureau Sardine Sardine DataDome DataDome NoFraud NoFraud Forter Forter TrueValidate TrueValidate Riskified Riskified

Loading data...