Contentsquare launches new AI agent and analytics capabilities across ChatGPT apps, LLM traffic, and conversation intelligence ->
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Use cases

Turn every customer voice into actionable digital clarity

Uncover why users get stuck, reach out, or abandon their journeys. Analyze calls, live chats, AI agent interactions and email exchanges alongside digital session replay to catch experience gaps, optimize AI bot performance, and protect revenue.

 Visual — Use Case — Learn from Conversations

Trusted and used by 1.3+ million websites and apps

    Bridge the gap between customer conversations and digital analytics

    • Icon — Solutions — Get deeper context in Product Analytics
      Get deeper context in Product Analytics

      Surface transcript topics, contact drivers, and sentiment trends directly inside your native Contentsquare dashboards alongside funnels and session replays.

    • Icon — Solutions — See issue cause and impact with Sense Analyst
      See issue cause and impact with Sense Analyst

      Ask AI natural language questions to understand what’s driving conversion drops and revenue friction from what customers are actually saying in chat, voice, and email.

    • Icon  — Solutions — Superpower your champions
      Superpower your Product, CX, and Marketing champions

      Inform product roadmaps, UX redesigns, and growth campaigns by using cross-channel customer interactions as the strategic insights they are. 

    Unlock the power of Conversation Intelligence

    Combine customer conversations and digital analytics to see your whole experience

    Pinpoint digital friction in Product Analytics

    Filter behavioral funnels and cohorts by interaction sentiment. Identify exactly which site bugs, broken forms, or missing product details are forcing users to abandon journeys or reach out.

    Core Capabilities - Conversation Intelligence in Product Analytics - 655x600 ratio

    Optimize AI bot performance when trust is at stake

    Track bot containment, handoffs, and drop-off points. See exactly where your AI agents succeed or fall short so you can refine prompts, improve guardrails, and boost deflection.

    [Visual] AI Agent Analytics

    Identify where digital friction drives high support costs

    Connect conversation topics directly to session replays and site analytics. Discover which broken forms, missing info, or checkout bugs are forcing customers to reach out and drive up costs.

    [Visual] CI Use Case - Reduce cost per contact

    Catch churn signals before surveys ever reach your inbox

    Detect shifts in customer sentiment, repeated contact patterns, and unresolved issues automatically—so that you can step in before churn happens.

    CI Use Case - Predict and reduce customer churn

    Fuel your product roadmap with real customer demand

    Surface feature requests, UX complaints, and competitor mentions directly from call and chat transcripts. Use quantified feedback to validate engineering backlogs with confidence.

    [Visual] Contentsquare-vs-Qualtrics-vs-Medallia-advanced-conversation-analysis

    Ask complex CX questions in plain language

    Use Sense Analyst to query digital behavior and conversation transcripts at the same time. Get instant, AI-generated answers explaining why conversion dropped, the revenue impact, and how to fix it.

    High fidelity - Conversation insights

    Frequently Asked Questions

    • Contentsquare shows what happens in digital journeys. Conversation Intelligence adds what customers say and why they reached out, connecting their behavior with deeper conversation context inside Product Analytics and Sense Analyst.