CUX
CUX is a digital experience analytics platform that combines behavioral analytics with UX expertise to help companies identify and fix user journey issues.
Profile
Analyzes website and app user behavior to identify and fix conversion problems.
CUX is a digital experience analytics platform that combines behavioral analytics with UX expertise to help companies identify and fix user journey issues. Founded in Poland, the company has grown to serve major brands across industries by providing insights into real user behavior on websites and mobile apps. CUX differentiates itself by pairing its analytics tools with hands-on consultancy from senior UX experts, offering a hybrid approach that goes beyond traditional web analytics.
The platform tracks clicks, scrolls, and hesitations to pinpoint conversion roadblocks, with case studies showing measurable improvements for clients like Rossmann (+2 percentage points in checkout) and T-Mobile (68% overnight conversion surge). Recent expansions include mobile app analytics capabilities launched in 2026. While not disclosing specific revenue figures, CUX's growing client roster of European brands suggests steady traction in the competitive digital analytics space.
Who buys this
- E-commerce companies optimizing checkout flows
- SaaS businesses improving onboarding experiences
- Financial services firms reducing form abandonment
- Retail brands with complex digital storefronts
- Media companies managing subscription funnels
Publicly disclosed clients
- Rossmann
- T-Mobile
- Santander
- PZU
- Warner Bros
- Kubota
- Eurocash
Strengths and what to watch
Strengths
- Combines quantitative analytics with qualitative UX expertise in one platform
- Proven case studies showing immediate conversion improvements for clients
- Cross-platform tracking covering both web and mobile app behavior
Watch for
- Increasing competition from AI-powered analytics tools entering the market
- Potential over-reliance on consultancy services versus scalable product
- Limited public information about financial performance or funding history
Recent moves
Key Information
- Founded
- 2018
- Headquarters
- Poland
Frequently Asked Questions
What is CUX and what does it do?
CUX is a digital experience analytics platform that tracks user behavior like clicks, scrolls, and hesitations to identify conversion roadblocks. It combines quantitative data with UX consultancy, helping brands improve website and app performance. Clients include Rossmann and T-Mobile, with documented conversion lifts.
How does CUX help improve website conversions?
CUX pinpoints where users struggle by analyzing behavior patterns across web and mobile. Its team then provides actionable UX recommendations. Case studies show measurable results, like Rossmann's 2% checkout improvement and T-Mobile's 68% overnight conversion surge after implementing CUX insights.
What types of companies use CUX analytics?
CUX serves e-commerce brands optimizing checkouts, SaaS firms improving onboarding, financial services reducing form abandonment, retail with complex storefronts, and media managing subscriptions. Notable clients include Santander, Warner Bros, and Kubota across Europe, demonstrating cross-industry applicability for digital experience optimization.
Does CUX track mobile app user behavior?
Yes, CUX expanded to mobile app analytics in 2026. The platform now tracks in-app interactions alongside web behavior, providing unified insights. This helps brands identify friction points across all digital touchpoints, though web analytics remains its historical strength with more documented case studies.
How is CUX different from Google Analytics?
CUX combines behavioral data with hands-on UX consultancy, going beyond traditional metrics. It focuses specifically on identifying and fixing conversion blockers through expert analysis of micro-interactions like hesitation patterns, whereas GA provides broader traffic analytics without dedicated UX interpretation.
What are the limitations of using CUX?
CUX faces growing competition from AI analytics tools and may rely heavily on consultancy versus pure software scalability. Financial transparency is limited, and while web capabilities are proven, mobile analytics is newer with fewer public case studies demonstrating equivalent impact to its web optimization successes.