Mulebuy spreadsheet
In today's e-commerce landscape, customer reviews serve as a goldmine of insights for product improvement. This article explores how AliExpress review data can be analyzed within spreadsheet platforms like Google Sheets or Microsoft Excel to derive actionable product enhancement strategies through sentiment analysis and keyword extraction.
Export product reviews from AliExpress in CSV format. Key data fields should include: review text, star rating, date, and product variant (if applicable).
Clean the data by removing:
Utilize spreadsheet functions or add-ons like:
Implement TF-IDF algorithms or simpler word frequency analysis to identify:
Create dashboards that show:
Example findings might reveal:
| Review Insight | Potential Improvement |
|---|---|
| Frequent complaints about sizing accuracy | Revise size charts, add try-on videos |
| Positive mentions of fast shipping | Highlight delivery speed in marketing |
| Confusion about product features | Improve description formatting and visuals |
Systematic analysis of AliExpress reviews in spreadsheet platforms provides cost-effective, data-driven insights for product improvement. Regular sentiment tracking (quarterly recommended) enables continuous quality enhancement and better alignment with customer expectations.
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