In the competitive e-commerce landscape, customer reviews provide invaluable insights into product performance, customer expectations, and areas for improvement. This paper explores the application of text mining techniquesspreadsheetsHubbuycn
SPLIT, UNIQUE, COUNTIF) or scripts for automation.Keywords extracted fall into two categories:
| Category | Example Keywords | Implications for Optimization |
|---|---|---|
| Customer Pain Points | "slow delivery," "size discrepancy," "battery life" | Improve logistics communication, sizing charts, or product specifications. |
| Product Strengths | "affordable," "user-friendly," "durable" | Emphasize these features in marketing materials to reinforce brand value. |
Proposed steps to translate insights into action:
Keyword extraction via spreadsheet-based text mining provides an accessible, actionable method for translating raw customer feedback into product optimization strategies. Through this process, Hubbuycn and similar platforms can systematically address customer concerns while capitalizing on strengths, ensuring consistent market relevance and heightened customer satisfaction.
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