Analytics

The Analytics tab provides a snapshot of your chatbot’s performance and impact. Here’s a quick breakdown:

Messages and Chats

The analytics dashboard displays the total number of messages exchanged between users and the chatbot, along with the number of unique conversations. This helps gauge how actively users are engaging with the bot and whether interactions are brief or more in-depth.

User Feedback (Likes & Dislikes)

User satisfaction is reflected through likes and dislikes. Monitoring these responses can help identify areas where the bot performs well and areas that need improvement. Encouraging feedback from users can provide actionable insights for refining responses.

Live Agent Transfers

Tracking conversations transferred to a live agent helps assess how well the chatbot is handling queries. A low transfer rate suggests that the bot is effectively resolving user inquiries, while a higher rate may indicate areas where AI responses need improvement.

Messages & Chats Trends

The trend graph visualizes activity over time, making it easy to spot peaks and dips in user engagement. Understanding these patterns helps in identifying when users are most active and whether specific events or campaigns influence engagement levels.

Geographical Insights

A world map displays the locations of users interacting with the bot. This is useful for businesses targeting specific regions and can guide decisions on localization, multilingual support, and regional marketing strategies.

Leveraging Insights for Optimization

Regularly reviewing analytics helps refine chatbot interactions, improve response accuracy, and enhance the user experience. Monitoring chat trends, user feedback, and engagement patterns allows for proactive improvements, ensuring the chatbot remains effective and aligned with business goals.