Corporate learning technologies help organizations train, develop, engage and analyze their learners. They help organizations with compliance, certifications, onboarding, talent development, upskilling, collaboration, coaching and mentoring, sales training, partner education, and customer training.
Customer success management (CSM) platforms are AI-enabled SaaS solutions used by B2B organizations selling subscription-based solutions to guide life cycle interactions and provide visibility into account health. CSM platforms help customer success and account-facing teams to achieve customer retention, growth and value realization objectives. They provide the ability to define and execute playbooks and automate customer outreach based on triggers or specific journey stages. Using data ingested from internal and external sources, these platforms can provide customer health alerts and suggest or automate next best actions. These platforms also provide capabilities for managing and resourcing the customer success function. Businesses that offer high-value products and/or services, often sold through subscription models, are using CSM programs to retain and grow revenue from existing accounts. Customer success management is the business discipline of guiding customers to realize value through product adoption or service utilization across the owning life cycle. It uses a data-driven approach to monitor customer health and engagement and uncover insights that drive proactive and prescriptive action leading the customer to derive value, renew, expand and advocate. CSM platforms are necessary to scale the function, providing oversight and insight into team performance and the hundreds or thousands of accounts at various life cycle stages. CSM platforms provide capabilities to create a holistic view of the customer, guide customers through their onboarding and owning journey, and surface customer health indicators in a way that provides actionable insights to all stakeholders. They also provide capabilities for managing the function, including customer segmentation, account assignments and planning, individual activity and performance, pipeline management and revenue forecasting.
Gartner defines product analytics as applications used to collect and analyze behavior data and sentiment to increase user engagement, adoption and satisfaction to improve experiences and drive retention. This solution category is embedded within mobile apps, desktop apps, websites/portals, software and edge devices. Product analytics often enables in-product engagement for onboarding and activation as well as the collection, tracking and analysis of user data to draw insights about the ways in which users engage
Gartner uses the following market definitions: Web analytics tools — Specialized analytics tools used to understand and improve the digital CX, attract and retain users, and analyze operations and actions taken across responsive websites and mobile apps. Product analytics tools — Tools and processes used to understand the behavior of users across products or services to inform decisions about how to improve the product experience and increase product engagement. Digital experience analytics tools — Tools that provide diagnostic insights into visitor activity and the CX on responsive web and mobile apps, enabled by advanced analytics and machine learning, session replay and heat map technology.