Home > Sentiment Analysis of AliExpress Product Reviews in Spreadsheets and Product Improvement Strategies

Sentiment Analysis of AliExpress Product Reviews in Spreadsheets and Product Improvement Strategies

2025-04-22
Product 1

THE NORTH FACE Down jacket（28 styles）-0234

$30.42
Product 1

AirPods 3-0102

$7.64
Product 1

Jordan 4 Retro (40 color)-0001

$34.72
Product 1

New Balance 9060 series (20 style)-0011

$38.89
Product 1

2024 New Jordan 4 (12 colors)-0010

$38.89
Product 1

Rolex watches (3 qualities 14 styles)-0396

$52.78
Product 1

GOYARD Fashion bags-0182

$9.58
Product 1

Balenciaga Triples (7 styles) -0515

$83.33
Product 1

UGG CLASSIC MINI（27 Style）-0013

$25
Product 1

Louis Vuitton fashion bag-0185

$48.61
Product 1

Louis Vuitton LV belt（36 style）-0246

$11.81
Product 1

Canada Goose new high-end down jacket short shiny-4313

$133.33
Product 1

AMIRI MA-1-0024

$72.22
Product 1

Burberry Down jacket-0827

$38.89
Product 1

UGG Tazz comfortable soft fashion wear height increase warm-4500

$34.72
Product 1

Jordan 4 anti-slip wear-resistant mid-top retro basketball shoes-4241

$123.33
Product 1

Apple AirPods Pro 3 Bluetooth Earphones with MagSafe Charging Case (USB-C)-4743

$17.92
Product 1

UGG simple lightweight fashion rubber sole cotton boots-4499

$20.56
Product 1

UGG Tazz split leather all-match non-slip low-top casual shoes-4309

$37.5
Product 1

LOUIS VUITTON LV Trainer leather round toe lace-up low-top children's sneakers-4084

$33.06

Introduction

In today's competitive e-commerce landscape, customer feedback holds immense value in shaping product development. This paper explores how businesses can leverage AliExpress review data

Methodology

1. Data Collection

Export product reviews from AliExpress to CSVExcel

  • Date, product SKU
  • Star ratings (1-5)
  • Review text in original language + English translation

2. Sentiment Analysis

Utilize spreadsheet add-ons like:

  • Google Sheets' Natural Language API
  • Azure Text Analytics

Automatically classify sentiment scores and extract positive/negative keywords

Key Findings Interpretation

Case Example: Bluetooth Headphones (1,287 reviews)

Trait Pos. Mentions Criticism Keywords
Sound Quality 78% (4-5★) "bass weak", "tinny"
Battery Life 62% (3-5★) "dies fast", "overstated"
Sample breakdown showing priority improvement areas

Implementation Framework

  1. Feature Prioritization Matrix

    Plot frequent complaints against technical feasibility to create an action plan

  2. A/B Testing Integration

    Use sentiment trends to validate design changes in subsequent product batches

Conclusion

By systematically analyzing review sentiments in accessible tools like Google Sheets, manufacturers can transform qualitative feedback into:

  • 20-30% reduction in common product complaints
  • Specific R&D focus areas
  • Data-backed marketing claims (e.g. "Improved battery based on 900+ user reviews")
```

sugargoo.eu Legal Disclaimer: Our platform functions exclusively as an information resource, with no direct involvement in sales or commercial activities. We operate independently and have no official affiliation with any other websites or brands mentioned. Our sole purpose is to assist users in discovering products listed on other Spreadsheet platforms. For copyright matters or business collaboration, please reach out to us. Important Notice: sugargoo.eu operates independently and maintains no partnerships or associations with Weidian.com, Taobao.com, 1688.com, tmall.com, or any other e-commerce platforms. We do not assume responsibility for content hosted on external websites.

© 2005-2024 sugargoo.eu