We detected 696 customers using Rewardful, 113 companies that churned or ended their trial, and 30 customers with estimated renewals in the next 3 months. The most common industry is Software Development (33%) and the most common company size is 2-10 employees (48%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We track companies that installed the Rewardful script to track affiliate referrals and conversions
About Rewardful
Rewardful provides affiliate and referral tracking software for SaaS companies that integrates with payment platforms like Stripe and Paddle to automatically track referrals, apply discounts, and manage commissions.
🔧 What other technologies do Rewardful customers also use?
Source: Analysis of tech stacks from 696 companies that use Rewardful
Commonly Paired Technologies
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Shows how much more likely Rewardful 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 companies using Rewardful are clearly subscription-based SaaS businesses focused on recurring revenue. The presence of Stripe for payments, combined with specialized SaaS metrics tools like Profitwell and Baremetrics, tells me these companies live and die by MRR, churn rates, and customer lifetime value. They're running affiliate or referral programs through Rewardful specifically because their business model supports paying commissions on recurring revenue.
The pairing of Rewardful with Profitwell and Baremetrics is particularly revealing. These aren't general analytics tools. They're purpose-built for tracking subscription metrics, which means these companies need to understand their unit economics deeply enough to know whether an affiliate program actually makes financial sense. The extremely high correlation with Stripe suggests they're processing payments directly rather than through enterprise billing systems. Meanwhile, the Intercom combination shows they're investing heavily in customer communication and self-service support, likely because they need to keep acquisition costs low while maintaining healthy retention.
My analysis shows these are product-led growth companies, probably in the $1M to $20M revenue range. The presence of Senja, a testimonial management tool, confirms they're leaning on social proof and user-generated content rather than traditional sales teams. They're using support and education (Intercom) to drive adoption, affiliates (Rewardful) to drive acquisition, and detailed analytics (Profitwell, Baremetrics) to optimize the entire funnel. This is a marketing-led motion where the product sells itself, but they need distribution channels.
👥 What types of companies is most likely to use Rewardful?
Source: Analysis of Linkedin bios of 696 companies that use Rewardful
Company Characteristics
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Shows how much more likely Rewardful 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
61.8x
Funding Stage: Series A
38.3x
Funding Stage: Seed
32.3x
Industry: Technology, Information and Internet
15.9x
Industry: Software Development
15.5x
Industry: Education
8.3x
I noticed that Rewardful's typical customers are B2B SaaS companies building tools for specific professional workflows. These aren't consumer apps or marketplaces. They're platforms that help other businesses operate: AI sales assistants, accounting automation for e-commerce, HR compliance software for home care agencies, CRM systems, project management tools, and specialized vertical solutions. Many are enabling technologies, things like "AI-powered," "automation," or infrastructure that other companies build on top of.
Most are early-stage, funded startups. I counted numerous pre-seed and seed rounds, typically ranging from $250K to $3M. Employee counts cluster heavily in the 2-10 and 11-50 ranges. Many explicitly mention being "built for" or "trusted by" certain customer types, which signals they're still establishing product-market fit rather than dominating their categories. The few larger companies (50+ employees) are exceptions, not the norm.
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