LogRocket provides an integrated platform that captures automatic session replays, product analytics, and AI‑driven issue detection for web and native mobile apps. By recording every user interaction, console and network logs, and performance data, it lets product teams visualize user behavior, analyze funnels and cohorts, and receive AI‑generated insights on technical and UX problems to quickly prioritize fixes and improve conversion.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
DVFounders
Product
Problem
Product teams struggle to pinpoint why users abandon flows, encounter errors, or experience frustrating interactions because raw logs, separate analytics tools, and manual debugging are fragmented and time‑consuming.
Solution
LogRocket combines automatic session replay, product analytics, and AI‑driven issue detection in a single platform. It captures every user action, console and network logs, and performance metrics without additional instrumentation, then surfaces quantitative insights such as funnels, path and cohort analysis alongside qualitative visualizations like heatmaps and clickmaps. Galileo AI parses sessions to generate natural‑language descriptions, severity scores, and highlights of high‑impact UX frustrations (e.g., rage clicks, dead clicks) and technical errors. Teams can filter, search, and export data via APIs, set alerts, and integrate results into existing workflows (Slack, Teams, Jira, etc.) to prioritize and resolve problems quickly. The solution enables data‑driven decisions that improve conversion, retention, and overall user experience across web and native mobile apps.
Target Audience
Primary customers are product managers, UX designers, and engineering teams building web or native mobile applications who need integrated visibility into user behavior, errors, and conversion metrics.
Features
- Automatic capture of all events, page views, console logs, network requests, errors, and performance data with a single SDK line
- Pixel‑perfect session replay with DOM playback, user metadata, and the ability to mask sensitive information
- AI‑powered issue detection (Galileo AI) that provides natural‑language descriptions, severity scoring, and highlights of critical moments
- Product analytics tools including conversion funnels, path analysis, cohort and retention charts, and out‑of‑the‑box dashboards
- UX analytics visualizations such as heatmaps, scrollmaps, and clickmaps for aggregate behavior insights
- Real‑time alerting and customizable issue digests delivered to Slack, Microsoft Teams, email, or webhooks
- Extensive integrations with issue‑tracking, customer‑feedback, and observability platforms, plus API access for data export and streaming
- Flexible deployment options (SaaS or self‑hosted) with compliance features like GDPR/CCPA support, SOC II, SSO, and role‑based access controls