Home > CNFANS: Integrate Spreadsheet Data with Your Purchase Analytics

CNFANS: Integrate Spreadsheet Data with Your Purchase Analytics

2026-01-29

Unlock deeper understanding of your business metrics by seamlessly exporting your CNFANS spreadsheet data for advanced, cross-platform analysis. Move beyond basic figures and gain actionable insights into your core operations.

Why Export and Integrate Your Data?

Exporting your CNFANS data transforms static spreadsheets into a dynamic asset. By integrating it with your dedicated analytics tools (like Power BI, Tableau, or custom dashboards), you empower your team to:

  • Conduct deep-dive analysis
  • Combine purchase data
  • Automate report generation
  • Perform complex calculations

How to Export Your Data from CNFANS

  1. Navigate to the Orders or Analytics
  2. Apply your desired filters (date range, product SKU, supplier, etc.) to focus the dataset.
  3. Locate and click the "Export""Download CSV"
  4. Your browser will download a standard .CSV

Key Metrics for Advanced Analysis

Once integrated, your exported data becomes the foundation for tracking these critical performance areas:

Product Performance

Go beyond total sales. Analyze profitability per unit, sell-through rates, seasonal trends, and inventory turnover

Refund & Return Ratios

Calculate precise refund ratios per product, category, or supplier. Identify quality or fulfillment issues by tracking reasons for returns over time, directly impacting your bottom line.

Shipping & Logistics Trends

Monitor average shipping costs, carrier performance, delivery time reliability, and regional duty/tax impacts. Optimize your supply chain by pinpointing delays and cost overruns.

From Data to Decisions

With your CNFANS data exported and integrated, you can build comprehensive dashboards that answer strategic questions:

  • Which products have the highest net margin after accounting for returns?
  • How do shipping choices affect customer satisfaction and repeat purchases?
  • What is the true total landed cost of inventory from specific suppliers?

Start by exporting a current quarterly dataset, import it into your preferred analytics tool, and begin connecting the dots for smarter, data-driven procurement.