Software-as-a-service (SaaS) providers offer robust features, functionalities, and solutions for consumers, but sometimes struggle with low end user adoption. Often, this is a result of informational content that doesn’t adequately engage or educate users. SaaS companies can use user-behaviour and predictive analytics to assess data and understand where people run into challenges or drop off.
These insights enable early identification of issues and can guide product fixes or enhancements to improve user adoption or retention. From an efficiency perspective, generative AI can help their professionals write, code, design, and create engaging, dynamic online content that improves user satisfaction and adoption.
For example, generative AI can help SaaS companies create content focused on their application’s best practices, use cases, and tips, providing users with a valuable knowledge base. They can also develop interactive and personalized tutorials based on user roles and their interaction data with the software. Generative AI can further help tech companies offer dynamic support content to users based on their usage patterns and queries. By hyper-personalizing the learning experience, the customer is receiving exactly what they want, which can increase adoption rates, highlight product differentiation, and improve overall customer satisfaction.