Conversation Analytics: Read and Improve Chats
Analyze chats systematically: spot common questions and knowledge gaps, measure popular products and conversion, and improve your assistant with real data.
Good service is measured by how quickly people get a usable answer — and how reliably complicated cases reach a human. This category covers using assistants in everyday service: availability outside business hours, relief from recurring questions, escalation rules, coordination with phone and email, and a tone that matches the company. A second focus is analysis: which questions really come in, where conversations break off, which content is missing from the website. We show how to derive concrete improvements from that — for the assistant and for the content itself. We also cover team coordination: who reviews conversation logs, how often, and which changes usually follow from that.
Analyze chats systematically: spot common questions and knowledge gaps, measure popular products and conversion, and improve your assistant with real data.
A 24/7 AI assistant answers questions from your FAQ and knowledge base, gives order status, deflects routine and escalates with full context to your team.
Contact form, staffed live chat or AI assistant: cost, response time, availability and scalability compared, plus the best combination for your website.
When an AI chat should hand off to a human: the four triggers, full context transfer without repetition and a clearly visible option to reach your team.