Bot Analytics
The Bot Analytics feature in the Chat360 platform provides detailed insights and performance metrics for chatbots deployed across various channels. This feature helps users understand the effectiveness and efficiency of their bots by offering comprehensive data on bot interactions, completions, and drop-offs.
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Key Features
- Total Bots
- Total Active Bots
Displays the total number of bots created in the system. Provides a quick overview of the total bots managed within the platform.
Shows the number of bots currently active and in use. Helps in identifying how many bots are currently engaged with users.
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Bot Insight
- Bot Conversation
- Bot Goal Completion
- Conversation Dropoff Rate
The number of conversations initiated by the bots over the selected period. Measures the engagement level of bots with users.
The percentage of bot interactions that successfully completed predefined goals. Indicates the effectiveness of bots in achieving their intended outcomes.
The percentage of conversations where users disengaged before completing the interaction Identifies issues in conversation flow and user engagement.
Bot Performance
Bot List
- Bot Name: Name of the bot
- Created On: Date the bot was created.
- Channel: Platform where the bot is deployed.
- Status: Current operational status of the bot.
- Chat Count: Number of chats handled by the bot
- Conversion Rate: Percentage of successful goal completions.
- Actions: Options to view detailed analytics for each bot.
- Navigation
- Refresh: Button to refresh the data displayed.
- Download: Button to download the bot performance data for further analysis.
- Usage
- Access: Navigate to the "Analytics" section and select "Bot Analytics" from the top menu.
- Customization: Users can filter data by time period and download reports for offline analysis.
- Monitoring: Regularly check bot insights and performance metrics to optimise bot interactions and improve user engagement.
A detailed list of bots with their creation date, channel, status, chat count, and conversion rate.
Allows users to filter data based on a specific time period.