We detected 745 customers using Paddle. The most common industry is Software Development (33%) and the most common company size is 2-10 employees (61%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We are unable to detect churned customers for this vendor, only new customers
About Paddle
Paddle operates as a merchant of record for SaaS and digital product companies, handling global payments, currencies, fraud prevention, sales tax compliance, and customer billing support. The platform provides revenue analytics, performance benchmarks, and growth tools to help software businesses scale internationally without managing complex payment infrastructure themselves.
🔧 What other technologies do Paddle customers also use?
Source: Analysis of tech stacks from 745 companies that use Paddle
Commonly Paired Technologies
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Shows how much more likely Paddle 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 Paddle users are primarily SaaS companies with product-led growth strategies and a strong focus on subscription metrics and customer experience. The extremely high correlation with ProfitWell, appearing in 71 companies at over 1400x the normal rate, immediately signals these are businesses obsessed with subscription analytics, churn prevention, and revenue optimization. Combined with tools like Postmark for transactional emails and BetterUptime for reliability monitoring, this points to companies that prioritize seamless product experiences and automated customer communications.
The pairing of Paddle with ProfitWell makes perfect sense because both tools serve subscription businesses, and companies choosing Paddle for payment infrastructure naturally want deep visibility into their subscription metrics. The high correlation with Postmark is equally telling. These companies need reliable transactional email delivery for receipts, subscription updates, and product notifications, suggesting they've moved beyond basic email providers to specialized tools. The presence of Crisp, a customer messaging platform, indicates these companies value direct customer communication channels, likely for onboarding and support.
My analysis shows these are product-led growth companies, likely in the earlier growth stages where they're scaling from initial traction to more substantial revenue. They're not enterprise sales-led organizations that would use heavy CRM infrastructure. Instead, they rely on their product to drive conversions and focus on optimizing the entire customer journey from signup through renewal. The marketplace integrations with Asana and HubSpot suggest they're building ecosystem connections but keeping operations relatively lean.
👥 What types of companies is most likely to use Paddle?
Source: Analysis of Linkedin bios of 745 companies that use Paddle
Company Characteristics
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Shows how much more likely Paddle 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
Funding Stage: Pre seed
26.5x
Industry: Software Development
15.2x
Funding Stage: Seed
14.2x
Industry: Technology, Information and Internet
9.4x
Industry: IT Services and IT Consulting
4.0x
Country: IN
3.2x
I noticed that Paddle's typical customers are software companies selling digital products directly to end users. These aren't enterprise software vendors or agencies serving clients. They're building SaaS tools, productivity apps, AI-powered solutions, developer tools, educational platforms, WordPress plugins, mobile apps, and content creation software. Many operate in crowded categories like project management, SEO tools, video editing, and marketing automation where they need to differentiate and monetize quickly.
The overwhelming majority are small teams, typically 2-50 employees, in early or growth stages. Very few show significant funding. Of those disclosing funding, most raised pre-seed or seed rounds under $3 million. Many list no funding at all, suggesting they're bootstrapped or profitable enough to avoid raising capital. The employee counts often feel aspirational, with some discrepancies suggesting growing teams. These companies are past the initial product-market fit stage but haven't reached scale yet.
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