Aggregate data from different sellers to identify trends and optimize future orders.
In the dynamic world of e-commerce and retail management, data from multiple sellers or storefronts often sits in isolated silos. The true power of this information is unlocked only when it's consolidated and analyzed as a whole. The KAKOBUY SpreadsheetPivot Tables
Step-by-Step Guide to Multi-Store Analysis with Pivot Tables
Step 1: Data Consolidation
Begin by ensuring all your sales data from different sellers (e.g., Amazon Store A, Shopify Store B, eBay Store C) is compiled into a single, structured table within your KAKOBUY Spreadsheet. Essential columns should include:
- Store/Seller Name:
- Product SKU/ID:
- Date of Sale:
- Quantity Sold:
- Revenue:
- Category:
A clean, unified dataset is the foundation of accurate analysis.
Step 2: Creating Your Pivot Table
Highlight your consolidated data range. Navigate to Insert Pivot Table. Confirm the data range and choose to place the Pivot Table in a new worksheet for a clear workspace. The KAKOBUY Spreadsheet will generate a blank Pivot Table framework and a field list panel.
Step 3: Structuring Your Analysis
This is where you answer key business questions by dragging and dropping fields. Here are powerful configurations for multi-store insights:
Analysis A: Store & Product Performance
- Rows:Product SKU/ID
- Columns:Store/Seller Name
- Values:Quantity SoldRevenue
Insight Generated:
Analysis B: Monthly Sales Trends Across All Stores
- Rows:Date of Sale
- Columns:Store/Seller NameCategory.
- Values:Revenue.
- Filters:Store/Seller Name
Insight Generated:
Analysis C: Category Performance per Store
- Rows:Category
- Columns:Store/Seller Name
- Values:Quantity Sold
Insight Generated:
Step 4: Interpreting Data to Optimize Future Orders
The Pivot Table reveals the story. Use these insights to drive decisions:
- Identify Universal Top-Sellers:all
- Spot Channel-Specific Winners:
- Analyze Slow-Moving Stock:
- Forecast Demand:
- Optimize Marketing Spend:
Pro Tips for KAKOBUY Pivot Table Mastery
- Refresh Regularly:Refresh
- Use Slicers for Interactive Dashboards:Store NameDate. This creates clickable buttons for instantly filtering your entire report, making it a dynamic dashboard.
- Create Pivot Charts: