We detected 45 companies using Adyen. The most common industry is Retail (27%) and the most common company size is 51-200 employees (29%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
Source: Analysis of Linkedin bios of 45 companies that use Adyen
I noticed that Adyen's customers are primarily consumer-facing businesses that need to process transactions at scale. These are retailers selling fashion, beauty, and sporting goods (Accessorize, Bonobos, Crocs, Diadora), direct-to-consumer brands (Dollar Shave Club, Paula's Choice), travel and hospitality companies (1Cover, City Expert, Auto Discount Location), and food delivery services (Cortilia, La Brigade de Véro). They're companies where the checkout experience directly impacts revenue, whether online, in-store, or both.
These companies span a wide maturity range, but most are established businesses in growth mode. I see many with 50-500 employees, suggesting they've moved past startup chaos but aren't massive enterprises yet. The funding stages vary wildly, from bootstrapped operations to Series D companies to Post-IPO (Crocs), but employee counts reveal operational scale. Companies like City Beach (900+ employees, 65+ stores) and R.M. Williams (500+ employees, 70+ locations globally) are mature retailers managing complex, multi-channel operations.
🔧 What other technologies do Adyen customers also use?
Source: Analysis of tech stacks from 45 companies that use Adyen
Commonly Paired Technologies
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Shows how much more likely Adyen 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 Adyen users are predominantly enterprise e-commerce brands with sophisticated digital storefronts and heavy investment in marketing technology. The presence of Agentforce Commerce and Salesforce Marketing Cloud as top correlations tells me these are companies running on Salesforce's commerce platform, likely mid-to-large retailers or direct-to-consumer brands that need robust payment infrastructure to match their advanced selling capabilities.
The pairing of Datadog Real User Monitoring with Adyen makes perfect sense for companies where payment performance directly impacts revenue. These businesses are monitoring checkout flows in real-time because even small latency issues can cost them significant conversion rates. Similarly, Dash Hudson's strong correlation suggests these are visual-first brands, probably in fashion, beauty, or lifestyle categories where Instagram and social commerce drive substantial sales. They need payment systems that can handle high volumes from social traffic spikes. Amazon Ads appearing alongside Adyen indicates these companies are running multi-channel strategies, selling both on their own sites and through Amazon, requiring unified payment reporting across platforms.
The full stack reveals these are marketing-led organizations in growth or scale-up mode. They're investing heavily in customer acquisition through multiple channels (social, Amazon, email) and obsessing over conversion optimization through monitoring tools. The Salesforce ecosystem dominance suggests they have substantial revenue, likely $50M+ annually, since that platform requires serious investment. These aren't early-stage startups testing payment processors. They're established brands scaling aggressively.
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