A/B testing tools, compare the two versions (control and variant) of webpage or content to determine the better performing and appealing version. These tools aim to optimize engagement and conversion goals by deploying multiple versions of digital content in real time. Traffic is split at random so that each group sees either version of A/B. By dividing the traffic into two groups, marketers can measure the impact of a change on a predefined goal, such as click-through rates, conversion rates, or any other key performance indicator. Statistical analysis combined with segmentation data is used to improve actions taken by visitors/users across the customer life cycle. A/B testing tools are used by marketers and web developers to make data-driven decisions for product and marketing strategy.
Gartner defines DevOps platforms as those that provide fully integrated and orchestrated capabilities to enable continuous delivery of software using agile and DevOps practices. The capabilities span the development and delivery life cycle built around the continuous integration/continuous delivery (CI/CD) pipeline, including planning, creation, artifact management, security, quality engineering, change management, compliance, environment management, deployment and monitoring. DevOps platforms support team collaboration, consistency, tool simplification and measurement of software delivery metrics. They are delivered primarily as cloud-hosted services with some options for on-premises deployment. DevOps platforms simplify the creation, maintenance and management of the components required for the delivery of various types of modern software. Platforms create common workflows and data models, simplify user access, provide production-like development and test environments, and provide a consistent user experience (UX) to reduce cognitive load. They lead to improved visibility, auditability and traceability for the software delivery value stream. This end-to-end view encourages a systems-thinking mindset and accelerates feedback loops. Organizations use DevOps platforms to minimize tool friction resulting from complex toolchains, manual handoffs and lack of consistent visibility throughout the software development life cycle (SDLC). This enables product teams to deliver faster customer value without compromising quality. The DevOps platforms market reflects the consolidation of technologies across development, security, infrastructure and operations to streamline software delivery.
Personalization engines use knowledge about customers to create and deliver an optimum experience for them and measure the impact on customer experience. These engines apply AI, advanced analytics and business rules to create meaningful experiences across channels that facilitate customer engagement and drive revenue. Personalization engines create a relevant, individualized interaction between two parties designed to enhance the recipient’s experience. A recipient can be a prospect, customer (known or anonymous) or employee (engaging with a customer or prospect). In commercial settings, the engines apply advanced analytics to interpret customer data — whether known or anonymous, behavioral or contextual — and adjust engagement based on where the customer is in their journey and how they’re interacting. The engines adapt content, offers and interactions in real time that facilitate the customer’s journey.