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.
Feature management provides the capability of controlling the release, visibility, and behavior of software features in real time without changing the underlying code. It allows teams to manage the user experience more safely and flexibly by using feature flags to turn features on or off dynamically. With capabilities like gradual rollouts, teams can introduce features to a subset of users—based on geography, user type, or other criteria—before a full release. It also enables A/B testing, where different versions of a feature are tested with different user groups to measure impact and optimize performance. This approach supports faster delivery, reduces risk, and allows experimentation in production environments. Feature management is commonly used by developers, product managers, QA engineers, and DevOps teams to improve release control, user experience, and deployment safety.
Gartner defines mobile marketing platforms (MMPs) as software solutions that help organizations create, activate, execute, analyze and optimize mobile marketing campaigns and experiences. The platforms target audiences on their mobile device through multiple message types such as SMS/text, push notifications, messaging apps and in-app messages. These platforms enable marketers to engage customers and prospects through a range of mobile-specific tactics — spanning mobile websites, mobile applications, smart device engagement, messaging (such as SMS and native applications), push notifications (such as on mobile apps and off websites), location-triggered interactions and mobile wallet cards. Mobile tactics are particularly suited to, for example, providing time-sensitive notifications to audiences, whether that’s in response to a live event, location-specific moment or a fulfillment update. MMPs also help measure and optimize the effectiveness of mobile strategy. MMPs can operate as stand-alone solutions within a marketing organization’s tech stack, or operate alongside other marketing technology. These technologies can include a set of capabilities within a multichannel marketing hub (MMH), marketing automation platform (MAP), customer data platform (CDP) or other marketing automation applications. Stand-alone MMPs are a more specialized solution, often used in conjunction with an MMH, email platform or B2B MAP.
Gartner defines multichannel marketing hubs (MMHs) as software applications, primarily delivered as SaaS, that orchestrate personalized campaigns and event-driven customer journeys across marketing channels. These applications leverage customer data, predictive models and real-time insights to optimize the timing, channel and content of interactions. MMHs apply advanced analytics, AI and prescriptive intelligence to help marketing and technical teams manage the end-to-end life cycle of customer journeys. Although MMHs overlap with customer data platforms (CDPs) and personalization engines, their primary focus is enabling marketing users to manage large-scale consumer interactions, particularly in owned media channels such as email and app push. Multichannel marketing hubs empower marketers to deliver personalized media and orchestrate customer journeys, thus driving revenue, engagement and loyalty. These SaaS applications unify customer data, predictive insights and real-time decision making to optimize interactions across digital channels. MMHs enable multidisciplinary teams to manage campaigns and event-driven journeys via advanced analytics, artificial intelligence/machine learning (AI/ML) and prescriptive intelligence.