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Live Chat

Definition

Live chat is a communication channel that enables real-time text-based conversations between customers and human support agents through a website or app widget. Unlike email (asynchronous) or phone (voice), live chat provides immediate text-based support.

How it works

Live chat delivers faster resolution than email (seconds vs hours) with the convenience of text-based communication. Agents can handle 3-5 simultaneous conversations (vs 1 phone call), making it more efficient for support teams.

Modern live chat often combines AI and human agents. An AI chatbot handles initial questions, and human agents take over for complex issues (human handoff). This hybrid model provides the speed of AI with the quality of human support.

Why it matters

Live chat tends to earn higher satisfaction than other channels (Kayako reports 73% for live chat, compared with 61% for email and 44% for phone) because it combines instant response with personalized human attention. When paired with AI, live chat becomes even more effective: AI handles volume while humans handle complexity.

How Chatsy uses it

Chatsy includes built-in live chat that works alongside the AI chatbot. The AI handles first-line support, and when it cannot resolve an issue or the customer requests a human, the conversation transfers seamlessly to a live agent. Agents see the full AI conversation, customer data, and context.

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What else should I know about Live Chat?

Agents handle 3-5 simultaneous live chat conversations versus just 1 phone call, improving efficiency

Key takeaways

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Example scenarios

  1. 01

    AI-first live chat workflow

    A customer opens the chat widget and is greeted by an AI chatbot. The AI resolves their shipping question in 3 seconds. If the customer has a follow-up the AI cannot handle, they click "Talk to a human" and a live agent joins the same conversation thread.

  2. 02

    Proactive live chat on high-value pages

    A B2B software company triggers a live chat invitation when visitors spend over 60 seconds on the pricing page. Sales agents engage prospects in real time, answering comparison questions and booking demos, increasing conversion rates by 20%.

  3. 03

    Multi-agent collaboration on complex issues

    A customer reports a billing error that requires both a support agent and a billing specialist. The live chat platform allows the support agent to bring in a billing colleague who can see the full conversation history and resolve the issue without transferring the customer.

Key takeaways

  • Live chat provides real-time text-based support; Kayako reports a 73% satisfaction rate, versus 61% for email and 44% for phone
  • Agents handle 3-5 simultaneous live chat conversations versus just 1 phone call, improving efficiency
  • The AI + live chat hybrid model provides the speed of automation with the quality of human support
  • Live chat is faster than email (seconds vs hours) and more convenient than phone for most customers
  • Without live chat as a human fallback, AI chatbots become frustrating dead ends for complex issues

Frequently asked questions

For most support scenarios, yes. Live chat is faster to initiate, agents handle multiple conversations simultaneously, and customers can multi-task while waiting. Phone remains better for emotionally complex situations or when detailed verbal explanation is needed.

Yes. AI chatbots handle repeat questions, but some conversations still need a person, and Tidio found that 30% of users prefer waiting for a human even when a chatbot is available. Live chat provides the human fallback that makes AI chatbots a complete support solution rather than a frustrating dead end.

Most agents effectively handle 3-5 simultaneous conversations. Experienced agents with good tooling can manage up to 7. Beyond that, response quality and speed degrade noticeably. AI chatbots have no such limit, handling thousands concurrently.

Aim for under 30 seconds for the first response and under 1 minute between subsequent replies. Set customer expectations with queue position indicators when agents are busy. Use AI-suggested responses to help agents reply faster without sacrificing quality.

Related terms

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Further reading

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