A SaaS connector that moves WooCommerce data into analytics and reporting tools like Google Sheets, Excel, Power BI, and more.
Vendor
Supermetrics
Company Website
Supermetrics WooCommerce Connector enables seamless transfer of WooCommerce store data into various analytics, BI, and reporting platforms, supporting data-driven insights and business reporting without manual exports.
Key Features
Multi-Platform Data Integration Connect WooCommerce to multiple destinations.
- Google Sheets, Microsoft Excel, Looker Studio, Power BI, BigQuery, Snowflake, Amazon S3, and more supported.
- Centralizes e-commerce data for unified reporting.
Rich Metrics and Dimensions Access a wide range of WooCommerce data points.
- 28 metrics and 82 dimensions, including sales, products, orders, and customer data.
- Enables detailed and granular analysis.
Custom Calculated Fields Create new data fields without coding.
- Define custom calculations directly in the connector interface.
- Tailor reports to unique business needs.
Template-Based Quick Start Accelerate setup with ready-made templates.
- Pre-built templates for common e-commerce reports.
- Reduces time to insights for new users.
Secure and Role-Based Access Follows WooCommerce’s permission model.
- Requires Shop Manager or higher role for connection.
- Uses WooCommerce REST API credentials for secure data access.
Automated Data Transfers Schedule and automate data pulls.
- Keeps reports up-to-date without manual intervention.
- Supports recurring data refreshes.
Benefits
Centralized Reporting Aggregate WooCommerce data with other business data.
- Reduces manual data exports and consolidates reporting workflows.
- Enables holistic business performance analysis.
Enhanced Decision-Making Access comprehensive e-commerce insights.
- Monitor sales trends, product performance, and customer behavior.
- Identify growth opportunities and operational bottlenecks.
Time and Resource Savings Automate repetitive data tasks.
- Eliminates manual data entry and report generation.
- Frees up resources for higher-value analysis.