Companies that use LogRocket

Source: Analysis of 100 job postings that mention LogRocket

I analyzed 70 job postings mentioning LogRocket and found that frontend engineers represent 34% of roles, followed by backend engineers at 10%, product managers at 9%, and IT support specialists at 6%. Only 2 postings were leadership roles, indicating that LogRocket purchasing decisions likely sit with engineering directors, VPX of product, or technical leads who understand frontend observability needs. These teams are prioritizing user experience quality, performance optimization, and rapid troubleshooting capabilities.

The day-to-day users are predominantly frontend developers working in React, TypeScript, and modern JavaScript frameworks. They use LogRocket alongside other monitoring tools for session replay, error tracking, and user behavior analysis. One posting specifically mentions using LogRocket for "behavioral insights, heatmaps, and UX improvement," while another includes it in a stack with Sentry and Datadog for "monitoramento e rastreio de erros/performance no front." These practitioners need to quickly diagnose production issues and understand how users actually interact with their applications.

The core pain points center on delivering exceptional user experiences at scale. Companies want to "build high-performance, scalable web applications," ensure "pixel-perfect UI components," and "optimize application performance across browsers and devices." Multiple postings emphasize the need to "monitor test coverage, defect trends, and release readiness" and maintain "crash free sessions." LogRocket appears as a critical tool for teams obsessed with frontend quality, enabling them to move from reactive debugging to proactive experience optimization.

Source: Analysis of tech stacks from 130 companies that use LogRocket

I noticed that LogRocket users tend to be sophisticated digital businesses that are deeply focused on understanding and optimizing user behavior. The presence of tools like Bombora, Chartbeat, and Segment tells me these companies are serious about data collection and analysis across every customer touchpoint. They're not just building products, they're building measurement systems around those products.

The pairing of LogRocket with Segment is particularly revealing. Segment acts as a customer data pipeline that routes information to different tools, while LogRocket captures granular session replays and performance data. Together, they create a comprehensive view of user behavior from both quantitative and qualitative angles. The strong correlation with Chartbeat suggests these companies care intensely about real-time engagement metrics, likely because they're operating content-heavy or high-traffic digital properties where every interaction matters. Trustarc's presence indicates these are mature companies dealing with enterprise customers or operating in regulated spaces where privacy compliance isn't optional.

My analysis shows these are likely product-led growth companies in mid to late stages of development. They've moved beyond basic analytics and are investing in specialized tools to understand micro-conversions and friction points. The emphasis on session replay technology combined with audience intelligence tools like Bombora and Clickagy suggests a hybrid approach where product insights inform sales and marketing strategies. These companies are using product usage data to identify expansion opportunities and refine their targeting.

Source: Analysis of Linkedin bios of 130 companies that use LogRocket

I noticed LogRocket's customer base is remarkably diverse in what they build and sell. These companies span e-commerce brands selling everything from mattresses and stickers to power stations and luxury bamboo linens, SaaS platforms for workforce management and data analytics, financial services companies handling insurance and loans, healthcare organizations from dental chains to telehealth providers, and traditional businesses like hospitality groups and retailers. What unites them is they all have significant digital customer touchpoints, whether that's an online store, a web application, or a customer portal where experience really matters.

The stage mix is interesting. I see a healthy blend of venture-backed startups at seed through Series E stages, established private companies with decades of history, and larger enterprises with thousands of employees. The employee counts range from tiny 2-10 person teams up to 10,000+ organizations. Many are in that critical growth phase, either recently funded or actively scaling their operations and customer base.