Dashboard

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Overview of Analytics Dashboard

The Analytics Dashboard provides valuable insights into how your chatbot interacts with customers. It tracks engagement levels, message trends, and customer behavior, helping you refine chatbot responses and improve overall performance.

To access the analytics, navigate to Laxi.ai Dashboard → Analytics.

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AI Messages

This section tracks how many messages the AI has sent in customer interactions. It provides a quick overview of the chatbot’s activity and helps measure overall engagement.

A higher number of AI messages indicates frequent customer interactions. If you notice a sudden increase, it may suggest customers are asking more questions, and you may need to optimize responses.

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Message Categories

Messages handled by the chatbot are classified into different categories based on the type of customer query. This helps understand what users ask most frequently, allowing you to refine your chatbot’s responses.

Some common categories include:

• Product inquiries
• Order tracking
• Payment assistance
• General store policies

By analyzing these categories, you can identify trends in customer needs and improve your knowledge base accordingly.

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Customer Feedback

Laxi.ai allows customers to rate their chatbot experience by providing feedback after an interaction. This helps assess response quality and refine the chatbot’s performance.

Monitoring customer feedback helps you:

• Identify areas where the chatbot may need better responses
• Improve user satisfaction based on feedback trends
• Adjust tone and suggested messages

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Trending Products

The Trending Products section shows which products are being browsed, recommended, or discovered through the AI agent. These trends help store owners identify popular products and potential bestsellers.

If certain products appear frequently, it may indicate customer interest, suggesting they should be featured more prominently in your store or marketing campaigns.

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Conversations Over Time

This section displays a graph of conversations handled by the chatbot over the past 30 days.

It helps you analyze:

• Peaks in chatbot usage, which may indicate promotions or seasonal trends
• Declining trends that may suggest a need for chatbot improvements
• The general engagement level of customers over time

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Products and Links

This section tracks the products and links that have been shared with customers during chatbot interactions.

• Trending links help you see which store pages or products are frequently recommended by the chatbot.
• If a particular link or product is shared often, it may indicate high customer interest and can be used in promotions or marketing campaigns.

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Weekly Activity

This weekly activity graph tracks chatbot usage over the past seven days, broken down by time of day.

It helps store owners:

• Identify peak hours when customers engage with the chatbot the most
• Spot trends in chatbot usage and adjust store support accordingly
• Ensure AI responses are optimized for busy periods

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Customer Locations

Laxi.ai also tracks where customers are interacting with the chatbot. This location-based insight is useful for:

• Understanding which regions have the highest engagement
• Adjusting chatbot responses based on local languages or preferences
• Identifying potential markets for expansion

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Final Thoughts

The analytics dashboard provides powerful insights into chatbot interactions, customer preferences, and AI performance. By reviewing these metrics regularly, you can refine your chatbot responses, optimize product recommendations, and improve overall customer experience.

For a deeper analysis, explore individual conversation history and detailed performance tracking sections in analytics.