Overview

LiveChat was founded in 2002 in Wroclaw, Poland by Mariusz Cieply and Grzegorz Cieply. It is a leading real-time live chat software, listed on the Warsaw Stock Exchange (ticker LVC), and now part of the Text.com product family, serving over 36,000 business customers worldwide. Centered on live chat, it provides proactive invitations, visitor monitoring, AI chatbots, ticketing, and deep analytics, covering pre-sales and after-sales support for e-commerce, SaaS, and service industries.

LiveChat's core strength is the "live chat + AI automation + analytics" loop: ChatBot answers 24/7, and 200+ integrations embed customer service seamlessly into existing business systems. Compared with Intercom (more messaging-driven marketing support) and Zendesk (more comprehensive), LiveChat is closer to small and mid-sized teams in usability and real-time responsiveness. See customer service platform guide for overall selection.

Key Strengths

  • Professional live chat experience: Proactive invitations, visitor monitoring, file transfer, and satisfaction ratings cover instant pre-sales conversion and fast after-sales response; see AI chatbot website integration.
  • AI automation cuts costs: The built-in ChatBot visual drag-and-drop builder answers common questions 24/7, enabling human-bot collaboration that significantly reduces labor costs; see AI customer service bot guide.
  • Rich integration ecosystem: 200+ third-party integrations cover Shopify, WordPress, Salesforce, Mailchimp, and more, linking deeply with store systems for e-commerce; see Shopify store setup tutorial.
  • Data-driven operations: Deep analytics track agent performance, customer satisfaction (CSAT), and conversation trends, helping teams quantify service efficiency and improve continuously.
  • Public company stability: Listed on the Warsaw Stock Exchange with financial transparency and continuous product iteration, suiting teams that value provider stability.

Product Ecosystem

LiveChat Live Chat

The core product with proactive invitations, visitor monitoring, file transfer, satisfaction ratings, and deep analytics - the real-time communication entry point for pre-sales and after-sales.

ChatBot (AI Chatbot)

A visual drag-and-drop chatbot builder with AI natural language processing, integrating seamlessly with LiveChat for human-bot collaboration and 24/7 responses to common questions.

HelpDesk (Help Desk)

A multi-channel ticketing system integrating email, chat, and social requests with automated assignment and SLA management, forming a complete support loop with chat.

KnowledgeBase (Knowledge Base)

A self-service help center builder with article management and SEO optimization, letting customers solve common issues themselves.

Analytics and Reports

Built-in analysis of agent performance, customer satisfaction, and conversation trends to support data-driven operations and team assessment.

Limitations

  • Starter plan limits: The Starter plan includes only 1 chat channel and few agents, so growth requires the more expensive Team or Business plans.
  • Per-agent costs rise quickly: Plans are billed per agent, so total cost climbs fast as teams grow; budget-sensitive teams should evaluate in advance.
  • Stacking feature costs: Advanced ChatBot, help desk, and knowledge base capabilities require higher plans or separate billing, adding to total cost.
  • Limited enterprise capability: Compared with Zendesk, enterprise-level customization, complex automation, and ecosystem depth are more limited.
  • Plan-dependent analytics: Some advanced analytics depend on subscription plans, with limited historical data retention and export scope.

Use Cases

  • E-commerce online support (recommended ★★★★★): Live chat, proactive invitations, and 200+ integrations link with store systems such as Shopify, boosting pre-sales conversion.
  • SaaS product support (recommended ★★★★★): Real-time feedback with a ticket loop, plus AI chatbots to cut support costs.
  • Small and mid-sized businesses (recommended ★★★★): Quick to adopt and feature-complete for daily customer service needs.
  • Teams needing AI auto-response (recommended ★★★★): ChatBot answers 24/7, suiting teams that want to cut labor costs and speed up responses.
  • Large enterprises (recommended ★★★): For enterprise-level customization and complex automation, evaluate more comprehensive platforms such as Zendesk.

Pricing

Plan Price (reference) Key features
Starter About $20/agent/mo 1 chat channel, 1 email, 1 ChatBot
Team About $41/agent/mo All-channel chat, more agents and reports
Business About $59/agent/mo Advanced analytics, more integrations and customization
Enterprise Custom quote Dedicated support, advanced security and customization

Note: These are historical public reference prices; actual billing follows the current offers on the official LiveChat website.

FAQ

  • What business scenarios suit LiveChat best? It best suits e-commerce, SaaS, and service teams needing real-time online chat, with instant pre-sales conversion and fast after-sales response, plus 24/7 coverage with AI chatbots; see website chatbot integration.

  • How do I choose between LiveChat, Intercom, and Zendesk? Small and mid-sized teams wanting ease of use, real-time speed, and value suit LiveChat; messaging-driven marketing support points to Intercom; large enterprises needing full ticketing and ecosystem should evaluate Zendesk; see support ticket system comparison.

  • How do I use the LiveChat AI chatbot? Use the ChatBot visual drag-and-drop builder to configure conversation flows and knowledge content, then integrate with LiveChat for human-bot collaboration and 24/7 responses; see AI customer service bot guide.

  • Does LiveChat support Chinese? Yes, it supports multi-language interfaces and conversation content for Chinese and global users; the help desk and knowledge base also support multi-language configuration; see website internationalization guide.

  • Can LiveChat integrate with e-commerce platforms? Yes, 200+ integrations cover Shopify, WordPress, Salesforce, and more, linking deeply with store systems; see Shopify store setup tutorial.