Analytics

Zeroagent 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.

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1. 🗨️ User Conversation Analytics

This section tracks user interactions, providing a complete picture of customer behavior and preferences.

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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.

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Benefits

• ✅ Personalize user interactions based on shopping history and sentiment.
• ✅ Identify high-value customers and offer targeted promotions.
• ✅ Optimize AI chatbot responses for better customer support.

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2. 🎟️ Ticket Analytics

Ticket analytics help businesses track support requests and customer issues efficiently.

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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.

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Benefits

= ✅ Prioritize critical issues based on sentiment analysis. = ✅ Improve customer support response times. = ✅ Identify common issues and optimize support workflows

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3. 📊 Dashboard Analytics

Dashboard analytics provide insights into the platform usage and overall AI assistant performance.

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Captured Data

• Total Tokens Used & Total Storage Used: Tracks resource consumption to help businesses monitor usage.
• Total Orders, Queries & Conversations: Measures the AI assistant’s effectiveness in handling customer interactions.

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Benefits

• ✅ Optimize resource allocation based on actual usage.
• ✅ Monitor AI assistant engagement and performance.
• ✅ Gain a holistic view of store activity and customer interactions.