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The easiest way increase website conversion
SessionCam uses a unique machine-learning algorithm to automatically measure customer struggle on your website. Known as the CS Score, it helps prioritize the pages that need optimization and, through session replay, then shows you real customers experiencing issues on these pages. It is designed to significantly reduce the time and cost involved in finding and fixing website issues that are affecting the user experience (UX).
Stunning session replay
SessionCam provides the most accurate replay of browser-based customer behavior recorded from your website, showing mouse movement, clicks, form input, page scrolling, mobile gestures, dynamic Ajax interaction and more. SessionCam maintains a perfect version of the individual page design and content as seen by the user at the time they visited your website.
Comprehensive, intuitive reporting
SessionCam includes a comprehensive suite of reporting tools that let you aggregate, segment, visualize and analyze user activity and conversion data. All reports link to recorded sessions so you can watch relevant recordings of real user behavior to backup your hypotheses. Data recorded by SessionCam can be exported from our console or accessed automatically via our API.
SessionCam has been designed to seamlessly integrate with your existing web analytics, multivariate testing (MVT), Voice of the Customer (VoC) and web chat solutions. Our solution can be integrated with traditional web analytics solutions like Google Analytics to provide a direct link to each session recording, for example.
Excellent customer support and insight consultancy
We want to make sure that you get the maximum value from using our solution. Our service starts with our Customer Success Team who help you through implementation and then remain available to provide day-to-day assistance. You can also tap into the additional wealth of UX/CRO expertise from our in-house team of Insight Consultants to drive website optimization and support your investment in SessionCam.