LiveSession
LiveSession is a session replay and heatmap SaaS for product and e‑commerce analytics.
LiveSession operates in the Unclassified segment.
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- Founded
- Unknown
- Headquarters
- Gen. W. Sikorskiego Street no. 3/2, 53-659 Wroclaw, Poland
- Core Segment
- Unclassified
- Company Size
- Unknown
- Official Links
- Website
- Verified
- 2026-03-12
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Key competitors include LogRocket, FullStory.
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LiveSession: About
The company operates a horizontal B2B SaaS model focused on behavioural analytics for web and e‑commerce products. It creates value by capturing, storing and replaying user sessions, and by providing analysis tools such as heatmaps, funnels, segments and dashboards that help teams understand behaviour and resolve UX or conversion problems. The product integrates with marketing, support and developer tools and is available via a self‑service web interface and an e‑commerce app (e.g. Shopify), reducing implementation friction for digital product teams.
Revenue is generated through recurring subscription fees that scale with usage, measured as the number of recorded sessions, and differentiated by feature limits such as data retention, team members and projects. An enterprise tier provides custom session volumes and contract terms for larger customers requiring higher scale or specific compliance and support levels.
LiveSession: Market Position
LiveSession sp. z o.o. is a Polish software company providing a web-based session replay and product analytics platform. Its tool records and replays user sessions, generates heatmaps and clickmaps, and tracks funnels and events so digital product and e‑commerce teams can diagnose user experience issues and improve conversion flows.
The company monetises through tiered SaaS subscriptions priced by the volume of recorded sessions, with free, Basic, Pro and custom Enterprise plans, and a 14‑day free trial. Its customers are primarily small and mid‑sized SaaS and e‑commerce businesses, as well as product managers, UX designers, marketers and developers who need behavioural analytics without building such capabilities in‑house.
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