Companies that use Lucky Orange

Source: Analysis of 100 job postings that mention Lucky Orange

I noticed that Lucky Orange buyers are primarily marketing leaders (Directors and AVPs of Marketing at 11%), but the decision-making clearly involves a broader coalition. Digital Marketing Specialists (16%) and Web Managers (11%) appear equally involved in purchasing, suggesting this is often a bottoms-up decision driven by practitioners who need better visibility into user behavior. These teams are focused on conversion rate optimization, demand generation, and creating data-driven cultures within their organizations.

The day-to-day users are heavily weighted toward UX/UI Designers (20%) and dedicated CRO specialists (13%). I found these roles consistently tasked with analyzing heatmaps, session recordings, and user behavior patterns to inform design decisions and testing strategies. They're running A/B tests, optimizing funnels, and translating behavioral data into actionable improvements. Marketing analysts and web designers round out the user base, leveraging Lucky Orange alongside tools like Google Analytics and various testing platforms.

The pain points center on understanding the "why" behind user behavior and driving measurable revenue impact. Multiple postings emphasize the need to "identify friction points" and "optimize user flows," with one role specifically calling for someone to "analyze heatmaps, session recordings, user behavior analysis" to improve customer journeys. Another seeks expertise in "behavioural analytical tools" to build a "more data driven company." The underlying goal is clear: teams want to move beyond surface-level metrics to understand actual user intent and systematically reduce conversion barriers.

Source: Analysis of tech stacks from 7,213 companies that use Lucky Orange

I noticed Lucky Orange users are predominantly e-commerce businesses, specifically direct-to-consumer brands selling through Shopify. The overwhelming presence of Shopify alongside Klaviyo (the leading e-commerce email platform) and Facebook Ads tells me these are online retailers focused on converting website visitors into customers and maximizing the value of each shopper.

The pairing of Lucky Orange with Triple Whale is particularly revealing. Triple Whale is an analytics platform built specifically for Shopify stores to track profitability and marketing attribution. Combined with Lucky Orange's session recordings and heatmaps, this suggests companies obsessed with understanding the complete customer journey from ad click to purchase. Loox appearing so frequently makes similar sense. It's a photo review app for Shopify, and when you're using Lucky Orange to see how visitors actually interact with your product pages, having authentic customer photos displayed prominently becomes a conversion optimization strategy. These companies are clearly testing and optimizing every element of their storefronts.

The full tech stack reveals marketing-led organizations in their growth phase. They're past the very early stage (they have budget for multiple tools) but still deeply focused on conversion rate optimization and customer acquisition efficiency. These aren't enterprise retailers with massive teams. They're likely small to mid-sized DTC brands where every percentage point of conversion improvement directly impacts profitability. The heavy emphasis on Facebook Ads plus Google Search Console shows a multi-channel acquisition approach, and they need Lucky Orange to understand which traffic sources convert best and why.

Source: Analysis of Linkedin bios of 7,213 companies that use Lucky Orange

I noticed that Lucky Orange's typical customers are companies selling physical products or services directly to consumers. The dataset is heavily weighted toward retail, with fashion brands, home goods, furniture, sporting equipment, and specialty food manufacturers making up a substantial portion. Beyond pure retail, I see service providers like law firms, accounting practices, financial services companies, and healthcare organizations. These aren't just listing products on Amazon. They're running their own ecommerce sites, often combining online sales with physical locations or specialized service delivery.

The size range varies dramatically, from solo entrepreneurs to companies with 1,000 plus employees, but the majority cluster in the 10 to 200 employee range. Most appear to be established, revenue-generating businesses rather than early startups. I see very few with significant venture funding, and when funding is mentioned, it's often debt financing or modest seed rounds. These are companies that have proven their business model and are now focused on optimization and growth rather than finding product-market fit.