Analytics and Tracking

This page explains how to monitor and analyze the performance of your FelAIProductAdvisor to optimize its effectiveness and ROI.

Overview

The FelAIProductAdvisor includes built-in analytics capabilities that allow you to track conversations, measure performance, and gain insights into customer behavior. These analytics can help you optimize your product advisor, improve customer satisfaction, and increase conversions.

Available Analytics

Conversation Analytics

The FelAIProductAdvisor tracks various metrics related to customer conversations:

Metric	Description
Total Conversations	Number of chat sessions initiated
Average Conversation Length	Average number of messages per conversation
Average Response Time	Average time taken for the advisor to respond
Completion Rate	Percentage of conversations that led to a product view or purchase
Abandonment Rate	Percentage of conversations abandoned before completion

Product Performance

Track how the product advisor influences product discovery and sales:

Metric	Description
Products Shown	Number of products displayed in conversations
Product Click Rate	Percentage of displayed products that were clicked
Conversion Rate	Percentage of conversations that led to purchases
Average Order Value	Average value of orders initiated through the advisor
Revenue Attribution	Total revenue attributed to the product advisor

User Engagement

Understand how customers interact with the product advisor:

Metric	Description
Engagement Rate	Percentage of visitors who interact with the advisor
Return Usage Rate	Percentage of users who return to use the advisor again
Average Session Duration	Average time users spend interacting with the advisor
Message Count	Average number of messages sent by users
Feature Usage	Frequency of usage for different advisor features

Accessing Analytics

Admin Dashboard

The main analytics dashboard is available in the Shopware Administration:

1. Navigate to Marketing > FelAIProductAdvisor
2. Click on the Analytics tab
3. View the overview dashboard or select specific reports

Analytics Reports

The following reports are available:

1. Overview Report: Summary of key metrics and trends
2. Conversation Report: Detailed analysis of conversations
3. Product Performance Report: How products perform in the advisor
4. User Engagement Report: How users interact with the advisor
5. ROI Report: Return on investment analysis

Tracking Setup

Default Tracking

By default, the FelAIProductAdvisor tracks basic metrics without any additional configuration. This includes:

• Conversation counts
• Message counts
• Product displays and clicks
• Basic conversion tracking

Enhanced Tracking

For more detailed analytics, you can enable enhanced tracking:

1. Navigate to Marketing > FelAIProductAdvisor > Settings
2. Go to the Analytics tab
3. Enable Enhanced Tracking
4. Configure the tracking options:
   • User Identification: Track returning users
   • Session Recording: Record conversation flows
   • Heatmaps: Track where users click in the chat interface
   • Funnel Analysis: Track user progression through conversation stages

Integration with Other Analytics Tools

Google Analytics Integration

The FelAIProductAdvisor can be integrated with Google Analytics to track advisor interactions:

1. Navigate to Marketing > FelAIProductAdvisor > Settings
2. Go to the Integrations tab
3. Enable Google Analytics Integration
4. Enter your Google Analytics tracking ID
5. Configure event tracking options

Events tracked in Google Analytics include:

• Advisor Opened
• Conversation Started
• Product Displayed
• Product Clicked
• Conversation Completed
• Conversion

Custom Event Tracking

You can also set up custom event tracking for specific actions:

1. Navigate to Marketing > FelAIProductAdvisor > Settings
2. Go to the Integrations tab
3. Enable Custom Event Tracking
4. Define custom events to track

Conversation Logs

The FelAIProductAdvisor stores conversation logs that you can review to gain qualitative insights:

Accessing Conversation Logs

1. Navigate to Marketing > FelAIProductAdvisor
2. Click on the Conversation Logs tab
3. Browse or search for specific conversations

Log Details

Each conversation log includes:

• Complete message history
• Products shown and clicked
• User information (if available)
• Timestamps
• Conversion outcomes

Privacy Considerations

To comply with privacy regulations:

• Conversation logs are anonymized by default
• Personal information is not stored unless explicitly configured
• Logs can be automatically deleted after a configurable period
• Users can be informed about data collection through a privacy notice

Performance Optimization

Using Analytics for Optimization

The analytics data can help you optimize your product advisor:

1. Identify Drop-off Points: Analyze where users abandon conversations
2. Improve Product Recommendations: See which products perform well in recommendations
3. Refine AI Instructions: Update system instructions based on conversation patterns
4. Optimize Placement: Determine the best pages for placing the product advisor
5. Adjust Design: Modify the design based on engagement metrics

A/B Testing

You can conduct A/B tests to compare different configurations:

1. Navigate to Marketing > FelAIProductAdvisor > A/B Testing
2. Click Create New Test
3. Configure test variants:
   • Different system instructions
   • Different welcome messages
   • Different designs
4. Set the test duration and traffic allocation
5. Start the test and monitor results

ROI Calculation

The FelAIProductAdvisor includes tools to calculate the return on investment:

ROI Metrics

Metric	Description
Total Revenue	Revenue generated through the advisor
Conversion Lift	Increase in conversion rate compared to non-advisor users
Cost Savings	Reduction in customer service costs
API Costs	Costs of OpenAI API usage
Net ROI	Overall return on investment

Accessing ROI Reports

1. Navigate to Marketing > FelAIProductAdvisor
2. Click on the ROI Analysis tab
3. View the ROI dashboard or generate custom reports

Best Practices for Analytics

1. Set Clear Goals: Define what success looks like for your product advisor
2. Monitor Regularly: Check analytics at least weekly to identify trends
3. Act on Insights: Use the data to make continuous improvements
4. Compare Periods: Look at performance over time to measure improvement
5. Segment Data: Analyze performance across different product categories or user types
6. Balance Metrics: Consider both quantitative metrics and qualitative feedback
7. Test Incrementally: Make one change at a time to accurately measure impact

Next Steps

After setting up and reviewing analytics, you can:

1. Optimize your AI configuration based on insights
2. Refine your system instructions to address common questions
3. Customize the design to improve engagement
4. Explore advanced integration options for better tracking