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Flint Engine — The eCommerce Operating System

Flint Engine eCommerce OS

Analytics

Overview

Flint Engine provides analytics across your store, marketing campaigns, and customer interactions. Analytics data helps you understand performance, identify trends, and make informed business decisions.

Dashboard Metrics

The main dashboard at Dashboard shows key business metrics:

  • Order count and revenue trends
  • License activation metrics
  • Recent activity log
  • Customer acquisition trends

Order Analytics

Navigate to Orders to analyze:

  • Total orders by date range
  • Revenue per product
  • Payment status distribution
  • Order status pipeline
  • Average order value

Customer Analytics

Track customer behavior through:

  • Products → Customers — Customer count and purchase history
  • Products → Activity — License activation and usage patterns
  • CRM → Reports — Comprehensive customer analytics

Campaign Analytics

Navigate to Reports in the Marketing workspace for:

  • Email campaign performance over time
  • Open and click rates by campaign
  • Subscriber growth trends
  • Unsubscribe and bounce rates
  • Revenue attributed to email campaigns

SEO Analytics

The SEO module provides:

  • SEO Dashboard — Overall SEO health score
  • 404 Monitor — Broken link tracking
  • SEO Audit — Content optimization analysis
  • Search Console — Google Search integration

CRM Reports

The CRM workspace includes dedicated reporting:

  • CRM → Reports — Sales pipeline and revenue reports
  • CRM → Finance — Payment and expense summaries
  • CRM → Invoices — Invoice aging and collection metrics

AI-Powered Analytics

Flint AI provides intelligent insights:

  • AI Activity — Log of all AI operations and their outcomes
  • AI Generations — Content generation history and quality metrics
  • Lead Generator — Lead scoring and qualification metrics

Exporting Data

Most analytics can be exported for external analysis:

  • CSV export for order and customer data
  • PDF reports for campaigns and invoices
  • JSON export for programmatic analysis

Tip: Review analytics weekly to spot trends early. Focus on metrics that directly impact revenue: order count, conversion rate, and customer retention.