Multi-Dimensional Comparison and Market Insights of Amazon Cross-Border E-Commerce Sales Data in Spreadsheets-OK Spreadsheet-The best and new spreadsheet

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For cross-border e-commerce sellers on Amazon, leveraging sales data analysis is crucial for uncovering market trends and optimizing business strategies. By conducting multi-dimensional comparisons in spreadsheets—covering pricing tiers, customer demographics, and market share across different Amazon marketplaces and product categories—sellers can gain data-driven insights to strengthen their competitive edge.

1. Sales Data Comparison Across Amazon Marketplaces

Spreadsheet tools like Google SheetsMicrosoft Excel

Market Share: Compare revenue contribution by marketplace (e.g., Amazon US vs. EU vs. Japan).

Pricing Strategies: Analyze price elasticity and average selling price (ASP) variations per region.

User Demographics: Map age, gender, and purchasing preferences to localize listings.

Tip: Use pivot tables to dynamically track category-wise growth rates and identify emerging markets.

2. Product Category-Specific Trends

Divide data by top-level categories

Identify high-demand/low-competition niches via SVCR
Monitor post-pandemic demand shifts (e.g., decline in home fitness, surge in travel gear).

Sample Spreadsheet Framework for Category Analysis:

Q2 2023 Sales Comparison: Amazon US vs. DE (Electronics vs. Apparel)

Metric Electronics (US) Apparel (US) Electronics (DE) Apparel (DE)

Avg. Price $127 $38 €114 €33

Conversion Rate 4.2% 6.8% 3.9% 7.1%

3. Actionable Market Insights