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 personalization engines as technology that enables marketing professionals to identify, set up, conduct and measure the optimum experience for an individual based on knowledge about them, their intent and context. Personalization engines apply context about individual users and their circumstances to select, tailor and deliver messaging such as content, offers and other interactions through various digital channels in support of three use cases: Marketing: Delivering the right message to the right audience and in the right context (i.e., tone, timing and channel) to maximize marketing and advertising performance. It involves behavioral inference, segmentation, testing, targeting and optimization of marketing campaign content, messaging and engagements across marketing and communication channels. Digital commerce: Tailoring content, offers, recommendations and experiences across digital sales channels. It includes personalized site search and navigation and customized content across homepages, category landing pages and product detail pages, with the goal of increasing conversion and delivering online revenue growth. Service and support: Using customer insight, journey context and user feedback (i.e., surveys and stated intent) to customize online and offline experiences across business functions to reduce customer effort or increase customer satisfaction and advocacy.
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.