We detected 17 customers using Seon, 3 companies that churned or ended their trial, and 1 customers with estimated renewals in the next 3 months. The most common industry is Gambling Facilities and Casinos (35%) and the most common company size is 11-50 employees (41%). 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 Seon
Seon provides a fraud prevention and AML compliance platform that leverages 900+ proprietary real-time data signals to enrich customer profiles, flag suspicious behavior, and streamline compliance workflows for companies like Revolut and Wise.
🔧 What other technologies do Seon customers also use?
Source: Analysis of tech stacks from 17 companies that use Seon
Commonly Paired Technologies
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Shows how much more likely Seon 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 Seon users overwhelmingly rely on web analytics and conversion optimization tools, which tells me these are growth-focused digital businesses obsessed with understanding user behavior. The combination of Microsoft Clarity, Cloudflare, and Facebook Ads suggests companies that are actively acquiring customers online and need fraud prevention as part of their conversion funnel.
The pairing of Microsoft Clarity with Seon makes immediate sense. Clarity shows how users interact with websites, and Seon identifies fraudulent ones. These companies want to optimize for legitimate conversions while blocking bad actors. The Cloudflare correlation is equally telling. These businesses handle enough traffic and face sufficient security threats that they need both infrastructure protection and transaction-level fraud detection. Meanwhile, Facebook Ads appearing 14.8 times more frequently reveals these companies are spending serious money on paid acquisition, which means fraud prevention directly impacts their ROI. Every fake signup or fraudulent transaction wastes ad spend.
The full stack reveals marketing-led companies in active growth mode. They're spending on customer acquisition, carefully tracking performance, and protecting their funnels from fraud that would corrupt their metrics and waste budget. These aren't early-stage startups figuring out product-market fit, nor are they enterprise sales organizations. They're likely Series A to C companies or profitable bootstrapped businesses running performance marketing at scale. They need real-time fraud detection because they're processing high volumes of signups or transactions.
👥 What types of companies is most likely to use Seon?
Source: Analysis of Linkedin bios of 17 companies that use Seon
I noticed that Seon's customers operate predominantly in high-risk transaction environments where fraud is an existential threat. The majority are gambling and betting operators, offering online casinos, sports betting, and gaming platforms. Several are cryptocurrency or fintech companies handling currency exchanges and digital payments. These aren't companies selling physical products. They're processing thousands of daily transactions from anonymous or semi-anonymous users where a single fraud ring could devastate their business model.
The companies span a wide maturity range. LeoVegas Group employs over 1,400 people and is backed by MGM Resorts, clearly a mature enterprise. Atlantic City Casino has 1, employees and 28 years of history. But many are smaller, growth-stage operations like Palmerbet with just 25 employees despite being third-generation, or newer entrants like SpinBet established in 2021 with 55 employees. The common thread isn't their size but their growth trajectory in regulated, high-risk markets.
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