Analytics and Reports

Track your product performance, AI search visibility, and conversion metrics to understand the impact of your optimization efforts.

Overview

The Analytics and Reports section provides comprehensive insights into how your optimized content is performing. Track metrics across multiple dimensions to understand what's working and where you can improve.

Use these insights to refine your optimization strategy, improve content quality, and maximize your return on investment.

Dashboard metrics

Your dashboard provides an at-a-glance view of key performance indicators:

• Total Products: The total number of products in your inventory, including optimized and non-optimized items.
• Active Experiments: Number of A/B tests currently running to compare different content variations.
• Pending Reviews: Content items waiting for your review and approval before deployment.
• Data Quality Score: Overall quality rating of your product data, including completeness and accuracy.

Performance reports

Detailed performance reports show how your optimized content impacts key business metrics:

Conversion metrics

• Conversion rate improvements
• Click-through rates
• Time on page
• Bounce rate changes

Revenue impact

• Revenue per product
• Average order value
• Revenue attribution to content
• ROI calculations

Engagement metrics

• Page views
• User interactions
• Content engagement depth
• Return visitor rates

AI search analytics

Track how your products appear in AI-powered search results and voice assistants:

Search visibility

Monitor how often your products appear in AI search results for relevant queries.

• Search impression counts
• Query match rates
• Position in search results
• Visibility trends over time

Query analysis

Understand what queries lead customers to your products.

• Top performing search queries
• Query-to-product matching
• Long-tail keyword performance
• Voice search optimization

A/B test results

Compare different content variations to determine what works best for your products:

• Test Configuration: Set up experiments comparing different content types, lengths, or styles to see which performs better.
• Statistical Significance: Results show statistical confidence levels to help you make data-driven decisions.
• Winner Selection: Automatically identify winning variations based on conversion rates and engagement metrics.

Quality metrics

Monitor the quality of your content and product data:

• Content Quality Scores: Track quality scores for generated content, including SEO optimization, readability, and brand alignment.
• Data Completeness: Monitor how complete your product data is, identifying missing fields that could impact optimization.

Data quality scores

Your data quality score reflects the overall health of your product data:

• Field Completeness: Percentage of required and recommended fields that are populated for your products.
• Data Accuracy: Validation of data formats, consistency, and correctness across your product catalog.
• Optimization Readiness: How well your product data is structured for AI content generation and optimization.

Exporting reports

Export your analytics data for further analysis or reporting.

Available formats

• CSV files for spreadsheet analysis
• JSON for programmatic access
• PDF reports for presentations

Report types

• Performance summaries
• Detailed metric breakdowns
• Time-series data
• Comparative analyses

Pro tips

• Review analytics regularly to identify trends and optimization opportunities.
• Use A/B testing to validate content strategies before rolling them out broadly.
• Focus on improving data quality scores to enhance AI content generation results.
• Export reports periodically to track long-term performance trends and ROI.

Quick links

• Go to Dashboard