Ecommerce Brands Urged to Audit Product Data for Growth

This article provides a comprehensive data diagnosis method for products on the International Station. By focusing on key metrics such as clicks, visitors, inquiries, TM consultations, and orders, it offers a layered approach to identify product issues. Targeted optimization suggestions are then proposed to help sellers improve product conversion rates and create bestsellers. The method allows for a deeper understanding of product performance and provides actionable steps to enhance visibility and sales within the Alibaba.com platform.
Ecommerce Brands Urged to Audit Product Data for Growth

Struggling with underperforming products on your international e-commerce platform? The solution might be simpler than you think. This proven three-step diagnostic method helps quickly identify performance issues and transform your product data into consistent sales.

Step 1: Identify Key Metrics to Pinpoint Problem Products

Effective problem-solving begins with understanding your data. Focus on these five critical metrics: total store clicks, unique visitors, inquiry numbers, instant message consultations, and order submissions. Sort products by "total clicks" from highest to lowest to quickly identify high-exposure but low-conversion products that deserve optimization attention.

Step 2: Tiered Analysis for Targeted Solutions

Different performance patterns require distinct solutions. Break down your products into these three categories for precise troubleshooting:

Type 1: Strong Traffic but Weak Conversions

When products attract clicks but generate few inquiries or orders, consider these corrective actions:

  • Traffic source analysis: Ensure system-recommended or external traffic aligns with your featured products through coordinated campaigns.
  • Search term optimization: Eliminate irrelevant search terms to improve targeting precision.
  • Image optimization: Study top competitors' product images for your key search terms and refine your visual presentation accordingly.
  • Pricing strategy: Evaluate whether your pricing and minimum order quantities remain market-competitive through regular benchmarking.
  • Promotion adjustment: Consider pausing paid promotions for non-featured products to focus resources.

Type 2: Orders Without Customer Engagement

Products generating sales but lacking customer interaction suggest conversion path issues:

  • Content alignment check: Verify search term relevance, image-product congruence, and pricing logic.
  • Promotion activation: Immediately implement paid promotions for confirmed featured products lacking exposure support.

Type 3: Inquiries Without Sales Conversion

When customer interest doesn't translate to orders, examine these factors:

  • Inquiry analysis: Review customer communications with sales teams to identify obstacles like customs restrictions, shipping costs, or payment terms.
  • Geographic targeting: Confirm traffic originates from intended markets to reduce non-converting inquiries.
  • Traffic strategy: Differentiate between paid promotion-driven and organic traffic products, optimizing each approach accordingly.

Step 3: Continuous Optimization for Market Leadership

Data analysis represents an ongoing improvement process rather than a one-time fix. Regular performance reviews and strategic adjustments based on market dynamics and customer feedback remain essential for developing top-selling products in competitive marketplaces.

Performance metrics provide invaluable guidance. Through systematic analysis and targeted improvements, businesses can revitalize product performance and establish sustainable sales growth.