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Your Analytics Dashboard Explained

Written by Shawn
Updated over a month ago

Your Analytics Dashboard Explained

Your Convi Analytics Dashboard is the central hub for understanding your AI Shopping Assistant’s performance. It provides the data you need to measure effectiveness, identify customer trends, and make informed decisions to improve your support strategy.

In this article


You can access your analytics by clicking on the Analytics tab from the main navigation menu in your Convi panel.

ℹ️ Note: The data on the dashboard can be filtered by a specific date range. Use the date picker in the top-right corner to select from: Last week, Last 30 days, Last 90 days, or All time.

Understanding the Key Metrics

The dashboard is divided into several sections, each providing a unique insight into your AI's performance.

1. Overview

This section provides a high-level summary of your AI's activity and effectiveness over the selected date range. It includes:

  • Total Conversations: The total number of unique conversations initiated by customers.

  • Conversations Resolved by AI: The number and percentage of conversations successfully resolved by the AI without human intervention.

  • Total AI Replies: The total number of messages sent by the AI assistant.

2. Abilities Usage in Conversations

This donut chart shows which AI abilities are being used most frequently in conversations. This helps you understand which automated tasks are providing the most value to your customers. Common abilities include:

  • Products search

  • Knowledge Search

  • Order tracking

  • Handover to human

3. Conversation Topics

This donut chart breaks down the main topics of customer inquiries. By understanding what your customers are asking about most, you can identify areas where your knowledge base may need to be expanded or where new AI abilities could be beneficial. Common topics include:

  • Shipping & Delivery

  • Returns & Refunds

  • Product & Catalog

  • Store Information

4. Message Feedback

This section displays customer satisfaction ratings based on their feedback (thumbs up/thumbs down) on the AI's responses. This is a direct measure of how helpful your customers find the AI assistant.

5. Customers Most Often Start Chats From These Pages

This table shows the top pages on your website where customers initiate conversations. This data can help you identify pages that may have confusing information or where customers have common questions, allowing you to proactively add information or improve the page content.

How to Use Analytics to Improve Your AI

Your analytics dashboard is more than just a report; it's an actionable tool for improvement.

💡 Tip: Regularly review your "Conversation Topics" and "Top Conversation Pages" to identify gaps in your AI's knowledge. If you see a high number of inquiries about a specific topic, consider creating a new FAQ in your Knowledge Base to address it.

By monitoring these metrics, you can continuously refine your AI's performance, leading to higher customer satisfaction, increased resolution rates, and a more efficient support operation.


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