Glassbox
Glassbox captures sessions events and signals across web and apps then applies analytics and AI to surface friction quantify impact and guide fixes for journeys funnels and technical errors with enterprise governance and privacy.
Overview
Glassbox provides digital experience analytics that unite qualitative replay with quantitative product data. The capture layer records DOM changes clicks network calls errors and mobile gestures while privacy rules mask sensitive fields. Teams analyze funnels segments and struggle indicators like rage clicks and dead ends and Story or AI features answer natural language questions about drop offs and patterns.
Dev tools attach console logs and network traces to sessions so engineers reproduce issues quickly while product leads see conversion lift from fixes. Integrations export events to warehouses and connect with experimentation tools to close the loop between insights and outcomes. Packaging is sales quoted with editions tailored by volume retention features and seats and the website highlights modular capabilities including session replay customer journey analytics interaction maps and product analytics with enterprise controls for SSO audit logging and access policies.
Organizations adopt Glassbox to reduce time to insight cut support burden and align design engineering and growth around measurable improvements.
Key features
- 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
Best for
- 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
Capabilities
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.
Frequently Asked Questions
Is there a public price list today?
Glassbox pricing is sales quoted and varies by monthly sessions retention and features the site provides plan guidance and buyers typically trial first.
How is privacy handled during capture?
Admins define masking for sensitive fields and roles control access audit logs record usage which supports deployments in regulated industries.
Does this replace product analytics fully?
Many teams run Glassbox alongside event analytics and experimentation and use exports to keep datasets aligned across platforms and BI.
Will it work for native mobile apps?
SDKs capture gestures screens and technical signals for major platforms which complements web and provides a full customer journey view.
How fast can teams get value?
Proofs of value often focus on one funnel or feature and pair replay with A B tests to validate lift within the first few weeks.
Can support teams use it safely with customers?
Yes replays with masking reduce PII exposure while giving agents the context needed to resolve complex issues faster.
How do we share findings with leadership?
Dashboards and AI summaries translate findings into impact metrics which helps secure buy in for prioritized fixes.
Is there a free plan or trial?
A free plan or trial is available so teams can validate capture quality and initial findings before committing to a paid contract.
