Cross-Border E-commerce Return Rate Statistics Table

16/03/2025 3Eeye


 

Cross-Border E-commerce Return Rate Statistics Table

 

 

Platform Name: 3Eeye 

Statistical Period: ______ Year ______ Month 

Prepared By: ____________________ 

 

 

 

I. Basic Data Statistics

 

Category

 Total Orders

 Return Quantity

Return Rate

Target Return Rate

Target Met?

Apparel

 1,200

96

=C2/B2`

8%

=IF(D2<=E2,"Yes","No")`

Electronics

800

24

`=C3/B3

3%

=IF(D3<=E3,"Yes","No")`

Home Goods

500

35

`=C4/B4

5%

=IF(D4<=E4,"Yes","No")`

Total/Avg

=SUM(B2:B4)

`=SUM(C2:C4)

=Total Returns/Total Orders

 

 

 

II. Return Reason Analysis 

 

Category

Quality Issues

Size/Color Mismatch

Description Mismatch

 Shipping Damage

Other Reasons

Apparel

15%

60%

10%

10%

5%

Electronics

40%

5%

30%

20%

5%

Home Goods

25%

20%

35%

15%

5%

 

 

 

III. Return Cost Impact 

 

Category

Avg. Unit Cost (CNY)

Return Loss Cost (CNY)

Shipping Responsibility

Resale Rate

Apparel

150

=C2150

Seller covers 70%

45%

Electronics

800

=C3800

Platform insurance

20%

Home Goods

300

=C4300

Shared 50/50

 60%

Total

=SUM(E2:E4)

 

 

 

IV. Improvement Tracking

 

Category

Implemented Measures

Impact (Return Rate Change)

Next Steps

Apparel

Added size charts and product videos

8% 6.5%

Introduce AI virtual try-on

Electronics

Enhanced QC and extended warranties

3.5% 2.8%

Optimize product descriptions to reduce overstatements

Home Goods

Upgraded packaging and installation guides

7% 5%

Sign damage compensation agreements with logistics providers

 

 

 

 Usage Instructions 

 

1. Automatic Calculations:

   - Return Rate: `Return Quantity / Total Orders` (e.g., Apparel formula: `=C2/B2`). 

   - Return Loss Cost: `Return Quantity × Avg. Unit Cost` (e.g., Apparel: `=C2150`). 

 

2. Data Visualization: 

   - Select data range Insert line/bar charts to analyze return rate trends. 

   - Use Pareto Charts to identify top 20% causes driving 80% of returns. 

 

3. Optimization Tips: 

-          High-Return Categories: Prioritize size accuracy (apparel), QC processes (electronics), and packaging (home goods). 

 

 


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