Live chat software from LiveChat is an online chat software solution in SaaS model. It helps both visitors and owners of the e-commerce website. With chat button placed on the website, visitors receive simple & quick access to live chat with customer service representatives or sales support without installing any additional software. At the same time operators have got even more functionalities: personal and automated chat invitations, web traffic monitoring and real-time visitor information are just basic features to start with. LiveChat application includes search engine icons to make easy recognizing referring website and keywords, the possibility of setting up link shortcuts, cobrowsing, opening links on customer side, using tag-based canned responses and transferring the customer between different agents without losing chat history.LiveChat allows holding multiple with customers, partners and employees at the same time. Also, more advanced users will appreciate the feature of tracking chat conversion in Google Analytics, integrations with CRM software (Salesforce, SugarCRM), ecommerce platforms (Shopify, ZenCart, Magento), CMS platforms (Joomla, Drupal, Wordpress), remote desktop tool (LogMeIn Rescue) and help desk software (Zendesk). For more complex implementations, group and department setup is possible with additional rights management. Shared chat history and advanced reporting and analytics section make LiveChat useful tool in online sales and support. The application fills the gap between phone and email communication. Customers and web visitors receive free and instant access to the needed information, while the agents can provide support up to 5 times more effective than on the phone, capturing customers directly on the website and guiding them through the sales process. All the data transmission in LiveChat is processed with SSL encoded protocol, what guarantees top security level and safe communication channel in the company.
Efforts to detect fake news are not as advanced as they would appear, given that the best practices so far rely on pattern detection that can itself be exploited by malicious actors, according to new research from MIT.