Glassbox
What is Glassbox?
Discover how Glassbox can enhance your workflow
Key Capabilities
What makes Glassbox powerful
Sessions and Signals
Record DOM changes clicks network and errors on web and mobile with masking which builds a trustworthy dataset for teams to analyze.
Funnels and Journeys
Quantify drop offs detours and recovery then size opportunities so teams target fixes that move conversion and satisfaction fastest.
Dev Tools and Logs
Jump from issues to console logs and network traces attached to the exact session to reduce time to reproduce and fix across teams.
Exports and Tests
Send events to warehouses and A B tools and link insights to experiments so improvements are measured against revenue and support KPIs.
Key Features
What makes Glassbox stand out
- Session replay with masking that links user behavior to evidence so designers engineers and support align on what actually happened during journeys
- Journey and funnel analysis that quantifies drop offs and recovery paths so teams prioritize the fixes with the highest impact on revenue and CX
- Struggle detection for rage clicks dead links and error loops that reveals hidden friction and guides targeted experiments and content changes
- Story or AI assisted analysis that answers questions in plain language which helps non analysts find opportunities from behavioral data quickly
- Developer console and network capture that shortens time to reproduce issues and speeds cross team debugging for web and mobile apps
- Heatmaps and interaction maps that visualize attention and gestures so UX choices become data informed and defensible during reviews
- Warehouse exports and integrations that connect analytics with BI and A B testing so improvements are measured against KPIs not opinions
- Enterprise security and governance that include SSO PII masking and audit logs so regulated teams deploy analytics responsibly at scale
Use Cases
How Glassbox can help you
- Ecommerce checkout optimization where funnels show step failures and replay validates fixes that reduce abandonment and increase revenue
- Onboarding flows in SaaS where struggle indicators and interaction maps reveal where new users stall so teams refine copy guidance and UI
- Support deflection where agents watch replays instead of asking for screenshots which lowers handle time and raises first contact resolution
- Mobile app stability work where crashes gestures and network traces tie to sessions and versions so engineering prioritizes the right fixes
- Content and merchandising tests where heatmaps and journey analysis measure the lift from layout pricing or messaging changes reliably
- Financial services journeys where masking and governance allow analytics without exposing PII so compliance and product teams align
- Self serve troubleshooting for growth teams where AI answers questions about segments and paths which speeds quick wins between releases
- Executive reviews that link projects to conversion retention and NPS changes so leadership invests in work with verified impact
Perfect For
product managers designers engineers support leaders and data teams at digital businesses who need evidence based insights privacy controls and faster diagnosis across web and mobile journeys to raise conversion and reduce friction
Quick Information
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Frequently Asked Questions
Is there a public price list today?
How is privacy handled during capture?
Does this replace product analytics fully?
Will it work for native mobile apps?
How fast can teams get value?
Can support teams use it safely with customers?
How do we share findings with leadership?
Is there a free plan or trial?
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