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HIGHBOT

    Analytics

    Analytic overview that allows you to better control your bot and effectively train it to work on your terms.

    Highbot Analytics shows you how users talk to the bot, what they are looking for, where they 'drop off', and which answers really help. Thanks to this, you can improve content faster, increase bot effectiveness, and better understand customer needs.

    Setup in minutes

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    Key metrics to start

    In the panel you receive data such as:

    Total conversations

    Volume of interactions.

    Unique users

    How many people actually used the bot.

    Activity over time

    When the bot works most intensively.

    Length distribution

    How many conversations end after 1-2 messages vs longer dialogues.

    And you know if the bot just 'greets' customers or actually leads the user to an answer / product / contact.

    Activity Timeline

    Weekly Activity

    The chart shows conversation distribution across the week. You can see which days are busiest and plan your support resources accordingly.

    Conversations by time of day

    You will see when users ask most often (e.g., morning / noon / afternoon / evening / night).

    This facilitates planning support, content publication, and consultant hours (if bot passes matters to a human).

    Conversation History

    All conversations — content and basic data

    You have access to the full conversation history, along with basic info, e.g.:

    • Start date and time
    • Number of messages in conversation
    • Topics / Intents (if configured)
    • Conversation content (readable preview)

    Why is this important? Because you don't analyze 'dry numbers' — you see real questions and real user problems.

    Conversation History
    Customer Contacts

    Customer Contacts

    If a user leaves data during a conversation, the panel will save it in the section: Customer Contacts

    • name / email / phone (if provided)
    • conversation context (what problem the user came with)
    • contact history (easier sales or support follow-up)

    This turns chat into real leads, not just a 'question box'.

    How you will use analytics in practice

    Improve site content

    See what people ask about most frequently.

    Increase bot effectiveness

    Know where conversations drop off after 1-2 messages.

    Limit repetitive support questions

    Catch top topics and pin the best answers.

    Build better sales paths

    Conversations show intent and the decision stage.