We detected 1,972 customers using NoFraud, 243 companies that churned or ended their trial, and 53 customers with estimated renewals in the next 3 months. The most common industry is Retail (74%) and the most common company size is 2-10 employees (78%). 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 NoFraud
NoFraud protects ecommerce businesses from fraud by using AI and expert analyst review to deliver instant pass or fail decisions on every order, backed by a 100% financial guarantee against chargebacks and includes an optimized checkout experience that reduces friction for trusted shoppers.
🔧 What other technologies do NoFraud customers also use?
Source: Analysis of tech stacks from 1,972 companies that use NoFraud
Commonly Paired Technologies
i
Shows how much more likely NoFraud customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that NoFraud users are overwhelmingly direct-to-consumer e-commerce brands, specifically fast-growing Shopify merchants. The presence of Shopify in nearly every tech stack, combined with sophisticated marketing automation tools like Klaviyo and retention platforms like Yotpo, tells me these are companies selling physical products directly to consumers online with a strong focus on repeat purchases and customer lifetime value.
The pairing of NoFraud with Klaviyo makes perfect sense because high-volume e-commerce brands need both fraud protection and email marketing automation working in tandem. When you're sending thousands of personalized emails to drive purchases, you need confidence that the orders coming through are legitimate. The extremely high correlation with Postscript and Attentive is even more revealing. These are premium SMS marketing platforms, which suggests these brands are sophisticated enough to build multi-channel communication strategies and are processing enough transactions to justify the cost of text message campaigns. Rebuy Engine's presence indicates these companies are focused on upselling and cross-selling, meaning they've moved beyond just acquiring customers to maximizing revenue per transaction.
The full picture shows marketing-led companies in their growth or scale-up phase. They're past the early startup stage where basic Shopify and email might suffice, but they're investing heavily in conversion optimization and customer retention rather than traditional sales teams. These aren't enterprise businesses with complex sales cycles. They're consumer brands running on tight margins where fraud losses directly impact profitability.
👥 What types of companies is most likely to use NoFraud?
Source: Analysis of Linkedin bios of 1,972 companies that use NoFraud
Company Characteristics
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Shows how much more likely NoFraud customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Retail Health and Personal Care Products
18.9x
Industry: Apparel & Fashion
15.6x
Industry: Retail Luxury Goods and Jewelry
13.9x
Country: US
1.4x
Country: CA
1.2x
I noticed NoFraud primarily serves direct-to-consumer e-commerce companies selling physical products. These aren't B2B software companies or service providers. They're brands manufacturing and selling tangible goods: furniture makers like RJ Living and Edloe Finch, supplement companies like Micro Ingredients and ALOHA, apparel brands like PATTERN Beauty and Focus Clothing, and specialty retailers from BMX bikes to kitchen knives. Many occupy that sweet spot between commodity retail and premium lifestyle brands, where product quality and brand story matter equally.
My analysis shows these are predominantly growth-stage companies. The employee counts cluster heavily in the 11-50 and 51-200 ranges. I see some funding rounds, typically Series A or B when disclosed, but many are bootstrapped or privately held. They're past the garage startup phase but haven't reached enterprise scale. They have enough volume to worry seriously about fraud, enough brand equity to protect, but likely lean teams without extensive fraud prevention infrastructure.
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