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SessionCam Launches Customer Struggle Score
SessionCam's Customer Struggle Score applies machine learning to diagnose and solve Web site conversion problems.
Posted May 18, 2016
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SessionCam, provider of session replay, heat-mapping, and conversion-funnel technology, today launched Customer Struggle Score to help marketers enhance conversion rate optimization.

SessionCam Customer Struggle Score (CS Score) applies advanced machine-learning techniques to automatically identify specific areas of Web sites where customers struggle. Armed with this advanced technology, companies can now diagnose, fix, and optimize their high-traffic ecommerce sites.

SessionCam CS Score works in the background, analyzing thousands of customer sessions every day to identify and highlight behavior that indicates problems with Web site usability.The patent-pending CS Score algorithm applies machine-learning science so it becomes increasingly efficient at identifying which sessions an analyst should review.

Liz Cobbold, director of digital and customer experience at Adnams, is one of several Web site optimization experts who have used this new technology. "We were able to identify pages where we were not delivering the right customer experience. CS Score really helped us prioritise our resources on the most important pages and quickly make changes to rectify problems," she said in a statement.

"With CS score, we have established a measure for the level of struggle within a customer's journey through a Web site," said Kevin Goodings, CEO of SessionCam, in a statement. "Using Customer Struggle Score, CRO specialists can quickly zero in and fix the root causes of customer struggles on any Web site and avoid slogging through hundreds of session replays looking for clues. It's a huge time-saver and helps analysts focus their time on the sessions that deliver the most value."

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