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Chat Statistics

The Chat Statistics in Surbo Chat Live Agent Platform offers a detailed, interactive summary of all the chats handled by a user or team. Whether you're an Admin, Manager, Team Lead, or Agent, this page provides key insights about each chatβ€”like when it landed, who picked it, how long it lasted, whether it was transferred or reopened, and more.

This is your go-to module for analyzing individual chat sessions, understanding performance patterns, and optimizing how your support teams interact with customers.

Chat Statistics Reference Table

Field Description
🌐 Channel Source Name The platform/channel where the chat originated (e.g., WhatsApp, Messenger)
πŸ”’ Source Identifier Business number or ID from which the chat was initiated
πŸ› οΈ Channel Name Internal label assigned to the chat to track its journey
πŸ“± Customer Identifier Mobile number of the customer
πŸ™ Customer Name Name of the customer who initiated the conversation
🧡 Chat Category Indicates if it's a 1-on-1 or a group chat
πŸ‘€ User Name The name of the person handling the chat (Agent, TL, Manager)
πŸ—£οΈ Chat Type Chat format: Text, Audio, or Video
πŸš€ Chat Medium Origin of the chat: user-initiated, campaign-driven, or via Click-to-WhatsApp Ad
πŸ•’ Chat Timestamp Date & time when the chat landed on the platform
⏱️ Chat Duration Total time spent between customer and agent
πŸ”„ Transfer Indicates if the chat was transferred to another agent or team
♻️ Re-Open Chat If the same chat was reopened within the 24-hour session window
πŸ“Œ Status Final status of the chat (see expanded explanations below πŸ‘‡)
πŸ’¬ Replied Whether the agent sent at least one message during the session
😊 Sentiment Detected tone of the customer: Positive, Mixed, Negative, etc.
πŸ“Š Sentiment Score A numerical score (1–10) derived from sentiment analysis

Expanded: Chat Status

Understanding the Status field is crucial to analyzing the outcome of each chat. Here's a detailed breakdown:

These status tags help you pinpoint friction points in your customer support flowβ€”whether it's delayed responses, missed opportunities, or customer drop-offs.

Status Type Explanation
βœ… Resolved The chat was handled and closed successfully by the agent
⏱️ Agent Timeout The agent didn’t respond within the platform’s timeframe; session auto-ended
🚫 Customer Timeout The customer became inactive, and the session was closed due to their silence
❌ Chat Declined The chat (often a reopened one) was declined by the customer
πŸ’€ Agent No Response The agent picked the chat but didn’t send any message before closing it
❗ Missed Chat The chat remained in the queue or awaiting section and auto-closed

Pro Tips for Smarter Usage

Pro Tip
βœ… Use channel filters to view chats from WhatsApp, Messenger, Line, or Telegram.
πŸ“… The default view shows the past 1 week; update the date range to 15/30 days or customize manually.
πŸ” Monitor Re-Open Chats to check if issues are recurring or previously unresolved.
🧠 Sort by Sentiment and Score to assess customer mood trends across agents.
⏰ Keep an eye on Agent Timeout & Missed Chats for optimizing response strategy.
πŸ“Š Export chats with detailed metadata for performance reports or audits.
🎯 Combine Chat Medium with Chat Status to analyze campaign quality.

Quick Summary List

  • βœ… Real-time access to chat logs and performance stats

  • πŸ” Filter by channel, team, or custom date range

  • πŸ’¬ Tracks response time, agent activity, and session outcomes

  • πŸ“ˆ Shows customer sentiment and chat quality

  • πŸ“€ Enables data export for reporting and team insights