As an e-commerce seller managing multiple storefronts, consolidating data from different platforms can be challenging. Learn how KAKOBUY's spreadsheet tools, particularly pivot tables, can transform your multi-store analysis and purchasing decisions.
Understanding Multi-Store Data Challenges
Managing inventory across multiple marketplaces creates data silos that obscure the bigger picture. Without proper analysis tools, you might:
- Overspend on slow-moving products
- Miss trending items across platforms
- Maintain inefficient inventory levels
- Make uninformed purchasing decisions
Preparing Your Multi-Store Data in KAKOBUY
Start by exporting your sales data from each platform (Amazon, eBay, Shopify, etc.) into a standardized KAKOBUY spreadsheet format:
Recommended Data Structure:
• Date | Store Name | Product SKU | Product Name | Category | Units Sold | Revenue | Cost | Profit | Location
Ensure consistent naming conventions across all stores for accurate aggregation. KAKOBUY's template system can help maintain this consistency automatically.
Creating Your First Multi-Store Pivot Table
Step 1: Data Consolidation
Import all store data into a single KAKOBUY spreadsheet. Use the "Combine Data" function to merge multiple files while preserving formatting.
Step 2: Insert Pivot Table
Select your entire dataset and navigate to Insert Pivot Table. Choose to create it in a new worksheet for optimal organization.
Step 3: Configure Key Fields
Drag and drop these fields into the corresponding areas:
ROWS Area:
• Product Category
• Product Name/SKU
COLUMNS Area:
• Store Name
• Date (by month or quarter)
VALUES Area:
• Sum of Units Sold
• Sum of Revenue
• Average Profit Margin
FILTERS Area:
• Date Range
• Product Category
• Store Location
Advanced Multi-Store Analysis Techniques
Cross-Platform Performance Comparison
Create pivot tables that compare product performance across different marketplaces:
- Identify which products excel on specific platforms
- Calculate cross-platform best sellers
- Discover platform-specific trends
Seasonal Trend Analysis
Group sales data by month and year to identify seasonal patterns across all your stores:
- Plan inventory for peak seasons
- Adjust pricing strategies accordingly
- Optimize advertising spend timing
Profitability by Store and Category
Use calculated fields to analyze profit margins across different dimensions:
- Determine your most profitable store-category combinations
- Identify underperforming products across platforms
- Make data-driven sourcing decisions
Optimizing Future Orders with Pivot Table Insights
Inventory Replenishment Strategy
Based on your pivot table analysis, create an optimized ordering plan:
| Product Type | Order Strategy | Data Support |
|---|---|---|
| High-turn items | Bulk orders + frequent replenishment | Consistent sales across multiple stores |
| Platform-specific stars | Targeted inventory allocation | Strong performance on 1-2 platforms only |
| Seasonal performers | Timed bulk purchasing | Clear seasonal patterns in historical data |
Product Portfolio Optimization
Use pivot tables to identify:
- Products to discontinue (poor cross-platform performance)
- Opportunities for product bundling
- Optimal pricing across different platforms
- Hidden best sellers waiting for inventory investment
KAKOBUY-Specific Features for Enhanced Analysis
Leverage these KAKOBUY spreadsheet capabilities for superior multi-store analysis:
Automated Data Refresh
Connect your pivot tables to KAKOBUY's API for automatic data updates from all connected stores.
Template Library
Access pre-built pivot table templates specifically designed for e-commerce multi-store analysis.
Collaboration Features
Share pivot table insights with your team or purchasing partners while maintaining data security.
Putting It All Together
Multi-store pivot table analysis in KAKOBUY transforms scattered data into actionable insights. By aggregating information across all your sales channels, you gain a comprehensive view of your business that enables smarter inventory decisions, optimized product assortment, and increased profitability.
Pro Tip: