Companies that use SmartLook

Source: Analysis of 100 job postings that mention SmartLook

I noticed SmartLook purchases are driven primarily by product and design leadership, though the tool appears across diverse contexts. Product Managers and UX Researchers are key decision-makers, prioritizing user behavior analytics and conversion optimization. Digital Marketing and eCommerce leaders also evaluate SmartLook for campaign performance and funnel analysis. The strategic focus is clear: teams want to transform qualitative user data into actionable product improvements and revenue growth.

Day-to-day users span a surprisingly wide range. Product Designers use SmartLook to validate design decisions and monitor feature adoption. UX Researchers conduct usability testing and analyze session recordings to identify friction points. Digital Marketing Specialists track campaign effectiveness and optimize conversion rates. Even Tax Specialists at Intuit use SmartLook's video chat capabilities for customer consultations, showing the platform's versatility beyond traditional analytics.

The pain points reveal companies struggling to bridge data and decision-making. I found phrases like "analyze user behavior and drive design decisions," "ensure data and insights inform every important decision," and "examining the data to generate hypotheses and plans of high impact." Teams are moving away from assumptions toward evidence-based design. Another posting emphasized "data-driven design decisions across all products," while others mentioned using SmartLook alongside tools like Google Analytics and Hotjar to create comprehensive user understanding. The underlying goal is transforming raw session data into competitive advantage through better product experiences.

Source: Analysis of tech stacks from 4,431 companies that use SmartLook

I noticed SmartLook users are overwhelmingly e-commerce companies, specifically those running direct-to-consumer brands on Shopify. The presence of Klaviyo, the leading email marketing platform for online stores, alongside Shopify itself tells me these are merchants focused on building repeatable, data-driven customer relationships rather than one-off transactions.

The pairing of Triple Whale and Klaviyo is particularly revealing. Triple Whale is an analytics platform built specifically for e-commerce brands to track customer acquisition costs and lifetime value across channels. When I see this combined with Klaviyo's retention-focused email flows and Facebook Ads, it suggests companies running sophisticated paid acquisition funnels while simultaneously nurturing customers through email. Microsoft Clarity appearing 18 times more often than baseline makes perfect sense here too. These companies are obsessively analyzing user behavior on their sites, trying to optimize conversion rates and understand where visitors drop off in the purchase funnel.

My analysis shows these are marketing-led organizations in growth stage, probably somewhere between 1 million and 50 million in revenue. They're not enterprise companies with complex sales cycles. Instead, they're performance marketers who live and die by their conversion rates, customer acquisition costs, and retention metrics. The heavy reliance on Google Search Console indicates they're also investing in organic traffic, not just paid channels. These companies need to understand every interaction on their website because small improvements in conversion rate directly impact profitability when you're spending significantly on Facebook Ads.

Source: Analysis of Linkedin bios of 4,431 companies that use SmartLook

I noticed that SmartLook's typical customer operates in the direct-to-consumer space, predominantly selling physical products online. These companies span fashion and apparel (streetwear, dance shoes, nursing bras, men's grooming), consumer goods (charging accessories, cocktail bombs, fitness equipment), specialty retail (luxury watches, organic food, art supplies), and real estate services. What unites them is that they're building brands, not just selling products. They maintain their own e-commerce sites and prioritize the customer experience from discovery through purchase.

These companies are predominantly in the scaling phase. Most have 2-50 employees, suggesting they've moved beyond pure startup mode but aren't yet large enterprises. A few have raised funding (Series A, seed rounds), but many appear bootstrapped. They're at the stage where they're expanding distribution, growing their team, and professionalizing operations, but founder involvement remains central to the brand story.