Workflow

Benchmark AliExpress Shipping Times Against Competitors

Optimizing shipping times is crucial for eBay dropshippers. Slow delivery leads to negative feedback, refund requests, and lost sales. While you control your product selection and customer service, AliExpress shipping speed is often perceived as a black box. Fetch Order Tracking provides the data to demystify this and, more importantly, benchmark your performance against competitors to identify areas for improvement.

Advertisement

The Problem: Subjective Shipping Performance

You might know your average shipping time from AliExpress to the US is 15 days. But is that good? Is it competitive? Without a reference point, it's just a number. Your competitors are also dropshipping from AliExpress, and some are likely doing it better. Their faster shipping times translate directly into higher customer satisfaction and repeat business.

Fetch solves this by providing granular data on every order. When you track orders for multiple eBay stores (yours and those you identify as competitors), you can directly compare their logistics performance metrics.

Setting Up for Benchmarking

To effectively benchmark, you need data from both your stores and competitor stores. Here’s how to prepare:

  1. Integrate Your Stores: Connect all your eBay stores to Fetch. Ensure your AliExpress order IDs are being correctly imported for each sale. This provides your baseline data.
  2. Identify Competitors: Find eBay stores selling similar products sourced from AliExpress. Look for sellers with high volume, good feedback, and competitive pricing.
  3. Track Competitor Orders: This requires a bit of manual effort initially. For each competitor, you'll need to manually add their eBay order IDs into Fetch. While you won't have their AliExpress tracking numbers, Fetch can still scrape public tracking information (like USPS, Royal Mail, etc.) if available, giving you a delivery date. For a more robust comparison, you may need to make test purchases from competitors to capture their full AliExpress tracking details.
Advertisement

Key Metrics for Comparison

Once you have a sufficient dataset, focus on these Fetch fields for benchmarking:

  • gmt_create (AliExpress order creation time): The start of the AliExpress process.
  • gmt_send (AliExpress order shipment time): When the package leaves the AliExpress warehouse.
  • gmt_received (Customer delivery time): When the tracking shows the item was delivered to the customer.
  • order_status: Provides high-level status (e.g., WAIT_SELLER_SEND_GOODS, FINISH).
  • logistics_status: More granular tracking updates (e.g., IN_TRANSIT, DELIVERED).

From these timestamps, you can derive critical timeframes:

  • Processing Time (gmt_send - gmt_create): How long it takes AliExpress or the supplier to process and ship an order.
  • Transit Time (gmt_received - gmt_send): The actual time the package spends in transit.
  • Total Delivery Time (gmt_received - gmt_create): The end-to-end time from order placement to customer receipt.

Performing the Benchmark Analysis

1. Isolate Data by Route/Product

Shipping times vary wildly by destination country and product type (due to different suppliers or shipping methods). Filter your Fetch data by:

  • Destination Country: Compare US-bound orders against US-bound orders.
  • Product Category: If you sell electronics and clothing, compare electronics to electronics.
  • Shipping Method: If you use ePacket for some and AliExpress Standard Shipping for others, compare like-for-like.

2. Calculate Averages and Medians

For each filtered segment, calculate the average and median for processing time, transit time, and total delivery time for your stores and your competitors'.

Focus on the median as well as the average. The median is less susceptible to outliers (e.g., a single lost package that eventually gets delivered after 60 days) and often provides a more accurate picture of typical customer experience.

3. Identify Discrepancies

Compare your metrics directly:

  • Are your processing times longer? This could indicate slower suppliers, or a delay in you placing the order on AliExpress.
  • Are your transit times longer? This is often due to the shipping method chosen. Competitors might be using faster, albeit potentially more expensive, options.
  • Are your total delivery times consistently higher? This is the ultimate metric for customer satisfaction.

4. Analyze Refund and Dispute Data

Fetch's refund detection is another powerful benchmarking tool. Compare:

  • gmt_refund vs. gmt_received: How long after delivery (or expected delivery) are refunds being initiated?
  • end_reason: Are competitors experiencing fewer refunds due to 'logistics problems' or 'package not received'?

If competitors have significantly fewer refunds related to shipping, it's a strong indicator they are delivering faster or more reliably.

Actionable Insights and Optimization

Once you've identified areas where you underperform, take action:

  • Supplier Review: If your processing times are slow, evaluate your current AliExpress suppliers. Are there alternatives with faster dispatch?
  • Shipping Method Upgrade: If transit times are the issue, investigate faster shipping options. Even a slightly more expensive method that shaves 3-5 days off delivery can significantly improve customer satisfaction and reduce refund rates. Test these new methods on a subset of orders.
  • Order Placement Efficiency: Ensure you're placing AliExpress orders as quickly as possible after an eBay sale. Automation tools can help here.
  • Communication: If competitors are delivering faster, consider proactively communicating estimated delivery windows based on your actual Fetch data, managing customer expectations.

Benchmarking with Fetch isn't a one-time task. Logistics performance changes, new suppliers emerge, and shipping lanes fluctuate. Regularly review your data to stay competitive and continuously optimize your dropshipping operation. For more insights on optimizing your workflow, visit our homepage.

Advertisement

Try the fetcher More guides
Chat on WhatsApp