YouScan

Key Features

- Visual insights: Powered by image recognition technology, YouScan allows companies to collect and analyze images containing their brand regardless of the text background. The platform allows brands to discover how customers use their product by detecting scenes and objects and filtering data by demographics, location, etc. - Trends detection: YouScan automatically detects trending discussions and their sentiment. This functionality allows analyzing topics with up to 100 million mentions in social media in a fully automated way. There is a possibility to drill down and see all the analytics of a particular trend: sources, geography, demographics, etc. - Auto-categorization: YouScan machine learning algorithms can easily determine the category of each content piece. Category examples include commerce, charity, recipes, WOM (word-of-mouth, user-generated content) and so on. This feature allows users to configure automatic rules for further markup of messages. For instance, commercial posts can be automatically deleted or placed in the "Processed” folder. - Sentiment Analysis: Based on effective techniques of morphological, syntactical and semantic analysis of specific language and human sentiment analysis, YouScan's proprietary algorithms detect content sentiment automatically. Users can manually tag and replace automatically assigned sentiment to achieve more accurate results of sentiment analysis. - Integrations: YouScan can be seamlessly integrated into the existing workflow, allowing users to receive data directly to the CRM or Service Desk system in both manual and automatic mode. YouScan API enables customers to work with important data within external dashboards or other analytical tools. It can be integrated with messengers (Slack, Telegram), Helpdesk and CRM solutions (e.g., ZenDesk, FreshDesk, BrandEmbassy, bpm’online, etc.). For custom integrations, YouScan offers extended API. - Smart alerts: Smart Alerts automatically send notifications about the most important events happening in a particular monitoring topic. Intelligent algorithms designed to detect critical incidents before any "fires" flare up. During the process, a combination of multiple parameters — such as source, sentiment, engagement, the number of "likes," the potential audience, the general "background" of the subject itself — is taken into account; any deviation from the average indicators is captured and analyzed.