Automatic interaction capture
Glassbox says it captures 100% of digital session data across websites and mobile apps, using tagless data capture to reduce reliance on additional tagging.
Digital experience analytics for teams improving web and mobile customer journeys.
Glassbox is a digital experience analytics platform for websites and mobile apps. It automatically captures digital interactions and provides tools to examine customer behavior, technical performance, and journey outcomes. Teams use it to find friction, assess which customers or journeys are affected, and coordinate changes across product, analytics, engineering, customer experience, and compliance work.
Its analysis spans individual sessions, pages, journeys, and groups of users. Session replay, journey and funnel analysis, interaction maps, and performance tools help teams investigate what happened and connect digital behavior with technical or business outcomes. The platform also supports real-time and retrospective analysis, with collaboration features for sharing findings.
Glassbox says it captures 100% of digital session data across websites and mobile apps, using tagless data capture to reduce reliance on additional tagging.
Replay digital sessions to inspect what a customer experienced, support issue investigation, and review interactions relevant to complaints or operational problems.
Analyze customer journeys and funnels to locate abandonment and understand where users encounter friction during conversion workflows.
Interaction maps, heatmaps, and struggle and error analysis help teams examine on-page engagement and identify points of difficulty.
Review technical performance alongside behavior and engagement data to investigate issues and compare their customer or business impact.
The platform describes real-time alerts and AI-driven recommendations for issues affecting customer experience, alongside shared views and collaboration tools for cross-team prioritization.
Product and analytics teams can trace where customers leave account-opening, payment, or other digital journeys, then use session evidence to investigate likely friction.
Support or operations teams can review relevant session interactions to understand what went wrong and help resolve complaints; the financial-services page also describes co-browsing support.
Financial-services teams can use the site's described alerts for abnormal activity and replay suspicious sessions to inform investigation and response.
Financial-services teams can select sessions for retention in a secure, compressed archive so relevant interactions can be retrieved and replayed during investigations.
Product and development teams can review replays, struggles, interaction maps, and customer-experience KPIs to assess product versions and guide iteration.
The platform is described for websites and mobile apps, including native mobile applications.
Glassbox describes its data capture as tagless and says it can provide behavioral and performance insights without additional tagging. It also supports importing existing tags and customization.
Yes. The site describes native integrations and an open API, with connection options for categories including web analytics, application performance monitoring, tag management, voice of customer, A/B testing, and personalization.
The platform describes real-time and retrospective analysis, including session replay. For financial-services workflows, selected sessions can be retained in an archive for later retrieval.
Traffic data is for reference only.
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