Skip to main contentZeroagent provides comprehensive analytics to help store owners understand customer interactions, support tickets, and platform usage. These analytics offer valuable insights to improve customer engagement, enhance decision-making, and optimize AI performance.
1. π¨οΈ User Conversation Analytics
This section tracks user interactions, providing a complete picture of customer behavior and preferences.
Captured Data
- User Details: Name, Email, and IP address to identify and segment customers.
- User Sentiment: AI analyzes the entire conversation to determine if the sentiment is positive, neutral, or negative, helping businesses gauge customer satisfaction.
- Total Orders & Amount Spent: Tracks user purchase history, highlighting shopping behavior and high-value customers.
- Chat Summary: A concise AI-generated summary of the full conversation, ensuring quick access to key details without reviewing entire chat logs.
Benefits
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Personalize user interactions based on shopping history and sentiment.
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Identify high-value customers and offer targeted promotions.
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Optimize AI chatbot responses for better customer support.
2. ποΈ Ticket Analytics
Ticket analytics help businesses track support requests and customer issues efficiently.
Captured Data
- Email, Subject, & Description: Captures the essential details of every support ticket.
- User Sentiment on Ticket: AI detects the emotional tone of the ticket to prioritize urgent or frustrated customers.
Benefits
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Prioritize critical issues based on sentiment analysis.
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Improve customer support response times.
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Identify common issues and optimize support workflows
3. π Dashboard Analytics
Dashboard analytics provide insights into the platform usage and overall AI assistant performance.
Captured Data
- Total Tokens Used & Total Storage Used: Tracks resource consumption to help businesses monitor usage.
- Total Orders, Queries & Conversations: Measures the AI assistantβs effectiveness in handling customer interactions.
Benefits
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Optimize resource allocation based on actual usage.
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Monitor AI assistant engagement and performance.
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Gain a holistic view of store activity and customer interactions.