We detected 25 companies using Refiner and 6 companies that churned. The most common industry is Software Development (25%) and the most common company size is 51-200 employees (46%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
Source: Analysis of Linkedin bios of 25 companies that use Refiner
I noticed that Refiner's customers span an incredibly diverse range of industries, but they share a common thread: they're all digital-first businesses dealing directly with end users. These aren't traditional B2B service providers. Instead, they build platforms, marketplaces, and SaaS products. I see event management software (Swapcard), influencer marketing platforms (Vamp), email marketing tools (Flexmail, Wisepops), online marketplaces (AutoScout24, Crowdcube), and consumer-facing applications. Even the non-tech companies like Eurospin and European Handball Federation operate sophisticated digital channels to reach their audiences.
My analysis shows these are predominantly growth-stage companies. About 60% have between 11-200 employees, that sweet spot where you've found product-market fit but need to scale intelligently. The funded companies (Alude, hackajob, Mill, Crowdcube) raised between $3M and $70M, typically Series A or B. They're past the scrappy startup phase but not yet enterprise giants. They have enough customers to need sophisticated feedback systems but are still agile enough to act on insights quickly.
🔧 What other technologies do Refiner customers also use?
Source: Analysis of tech stacks from 25 companies that use Refiner
Commonly Paired Technologies
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Shows how much more likely Refiner 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 Refiner users are typically product-led B2B SaaS companies operating with sophisticated, data-driven growth strategies. The presence of Segment alongside Refiner tells me these companies treat customer data as a core asset, routing user behavior and feedback through a central hub to power multiple downstream tools. They're not just collecting survey responses in isolation but weaving that feedback data into their entire analytics infrastructure.
The pairing of Intercom and Refiner is particularly revealing. These companies are using Intercom for day-to-day customer communication while Refiner handles structured feedback collection like NPS and product surveys. This suggests they understand the difference between conversational support and systematic user research. The strong correlation with Retool indicates engineering teams that build internal tools to act on customer insights quickly, creating custom dashboards or workflows that connect feedback to product decisions. When I see Azure DevOps appearing frequently, it confirms these are development-focused organizations with mature engineering practices who likely integrate user feedback directly into their sprint planning.
My analysis shows these companies are firmly product-led but with enough scale to invest in professional tooling across their stack. They're past the early startup phase where everything lives in spreadsheets, but they're growth-stage enough to still care deeply about user feedback driving product direction. The LinkedIn Ads correlation suggests B2B targeting with longer sales cycles where understanding user sentiment becomes critical for retention and expansion revenue.
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