Predictive Analytics Identifies User Needs Before They Arise, Enabling Preemptive Actions to Accelerate Engagement and Adoption
WalkMe, the leading digital adoption platform and one of the fastest growing software companies globally, announced that it has launched WalkMe Artificial Intelligence (AI) Predictive Analytics, an enterprise-grade solution that can understand users’ behaviors while they’re using a system, and predict their next actions in order to drive greater user engagement and adoption.
For any enterprise technology solution, a central factor in its success is delivering an intuitive and attractive user experience – yet challenges in retention and adoption still permeate the industry. WalkMe AI Predictive Analytics sits on top of any enterprise software or native mobile application, enabling organizations to determine the statistical likelihood that a person will stop using the solution – typically due to a poor user experience.
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Using its proprietary WalkMe UX product sensor technology, WalkMe collects hundreds of data points per second in real-time, including non-personally identifiable information such as browser type, timestamps, and insights into a user’s interaction within the system. On mobile applications, WalkMe’s technology can also identify the physical state of the person using the app – such as whether they are standing, sitting or on-the-go.
Based on the likelihood that a user will churn, organizations can then create targeted campaigns – such as offering step-by-step guidance to navigate within the system or an in-app notification for a sales promotion – to boost customer engagement and adoption. Built for business users, WalkMe requires no technical knowledge or R&D effort to create and implement campaigns. By targeting the user at the optimal time with the right messages or guidance, WalkMe streamlines the user experience, while increasing the company’s return on investment.
Rephael Sweary, Co-Founder and President of WalkMe, “Organizations across every size and sector invest hundreds of millions of dollars globally in technologies that they believe will deliver a greater customer experience – only to find that they have incorrectly anticipated the user’s needs. If someone is out for a morning run, for example, it’s clearly an unsuitable time for a bank to ask them about a home loan they were interested in – a better time may be in the evening when they’re relaxing at home. Using WalkMe AI Predictive Analytics, organizations now have real data and predictive insights at their disposal: a formidable tool to transform user adoption.”
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