Consumer video feedback software is a type of software that allows customers or users to provide feedback on products, services or experiences using video format. It offers a more dynamic and in-depth way for consumers to convey their thoughts, feelings, and suggestions, compared to traditional text-based feedback. It deploys various analytical techniques like facial recognition, emotion detection, automatic content based tagging and AI driven sentiment analysis to generate insights. It also enables sharing and embedding of videos on websites and emails. Consumer video feedback software is widely used by businesses and brands, e-commerce platforms and market researchers to collect feedback on a variety of topics, which can be used to improve products and services, identify areas for improvement and make better business decisions.
Innovation management tools market help organizations manage the flow of ideas from initial concept generation to final value realization or commercial exploitation. They support diverse methods to generate ideas, both internally or externally; to prioritize and select ideas; to act on selected ideas; to observe and measure activity and impact; and to operate innovation programs at scale. Product capabilities include trendspotting, crowdsourcing, brainstorming or hackathons; stage-gate automation for idea evaluation and selection; and ways to manage a portfolio of active ideas (including idea execution to bring ideas to realization via project or product management).
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.
Sentiment Analysis Tools are software solutions designed to evaluate and interpret text-based data to identify the emotional tone, opinion, or attitude expressed within written communication. These tools leverage advanced technologies such as natural language processing (NLP), machine learning algorithms, and text analytics to process large volumes of unstructured data from diverse sources. By breaking down text into smaller components, a sentiment analysis tool assigns sentiment scores based on predefined scales, categorizing content as positive, negative, or neutral. Social media sentiment analysis tools and social sentiment analysis tools extend these capabilities to platforms such as Twitter, LinkedIn, and Facebook, enabling organizations to monitor brand perception and public opinion in real time. Customer sentiment analysis tools focus on feedback from surveys, reviews, and support interactions to uncover insights that drive improvements in customer experience and engagement. Key functionalities include multilingual support for global communication analysis, integration with business intelligence systems, and customizable dashboards for reporting sentiment trends. These tools often provide visualization features to track sentiment shifts over time and predictive analytics to anticipate emerging patterns. Additional capabilities may include emotion detection beyond basic polarity, topic modeling to associate sentiment with specific themes, and real-time alerts for critical sentiment changes. By transforming qualitative text into quantifiable insights, sentiment analysis tools enable organizations to enhance decision-making, strengthen stakeholder relationships, and maintain transparency across internal and external communications. Typical users include business leaders seeking to inform strategic decisions, HR professionals monitoring employee feedback for organizational health, compliance officers ensuring adherence to ethical standards, and stakeholders responsible for governance and risk management.
Gartner defines Social Monitoring and Analytics as the process of collecting, measuring, analyzing and interpreting the results of interactions and associations among people, topics and ideas from social media sources. These solutions are different from social marketing management tools that may include social analytics capabilities as part of a broader platform, which also include capabilities for content publishing, distribution, and engagement and customer service capabilities. Social Monitoring and Analytics vendors enable users to monitor and analyze conversations happening on social media about their brand, competition industry, and topics relevant to their target customer segments. These tools collect data from various online sources and help users analyze themes, sentiment and perceptions
Gartner defines a voice of the customer (VoC) platform as one that integrates feedback collection, analysis and action into a single interconnected platform that helps understand and improve the customer experience. Sources of feedback extend beyond direct surveying to include other, more indirect and inferred sources. VoC platforms enable leaders responsible for functions such as customer service, marketing, or sales to better manage the customer experience (CX) through a deep understanding of customer needs, motivations, goals and behaviors. The resulting insights trigger recommendations and actions across the enterprise.
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.