Conversational marketing is a customer-centric approach that leverages real-time, personalized interactions between companies and customers and mimics human dialogue for the vendor at scale. These technologies employ AI chatbots and automation to design session-based, cross-channel exchanges in the form of natural language dialogue, using a blend of text and audio. Unlike traditional marketing methods that often rely on one-way communication, conversational marketing employs session-based two-way dialogues which foster meaningful relationships and enhance the customer journey and experience. Conversations occur across various channels — primarily live chat, SMS, email and voice. Integrations across the revenue tech stack facilitate personalized interactions. Conversational marketing strategy is used by digital marketers as well as sales and customer service teams to improve engagement, increase conversion and increase seller capacity.
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.