KAKOBUY Spreadsheet: Using Pivot Tables for Multi-Store Analysis
In today's competitive e-commerce landscape, selling across multiple platforms or storefronts has become the norm. However, managing and analyzing data from these disparate sources can be a significant challenge. The KAKOBUY SpreadsheetPivot Tables
What is a Pivot Table and Why is it Essential for Multi-Store Analysis?
A Pivot Table is an interactive data summarization tool found in spreadsheet programs like Microsoft Excel and Google Sheets. It allows you to automatically sort, count, total, or average the data stored in one table or spreadsheet and present the summary in a second table, called the Pivot Table.
For a multi-store seller on platforms like Amazon, eBay, Shopify, and others, Pivot Tables are indispensable because they:
- Consolidate Data:
- Save Time:
- Reveal Hidden Trends:
- Enable Data-Driven Decisions:
- Save Time:
The Multi-Store Data Aggregation Workflow
Before creating a Pivot Table, the first critical step is data preparation. Effective analysis stems from clean, consistent, and consolidated data.
Step 1: Standardize and Combine Your Data
Ensure each data export from your different seller accounts has consistent columns. Essential fields include:
Store NameProduct SKUASINProduct NameDateQuantityTotal SalesUnits
Copy and paste all individual store reports into one master sheet within your KAKOBUY Spreadsheet. This master list is your source data for the Pivot Table.
Step 2: Create Your Multi-Store Analysis Pivot Table
- Select any cell within your master data range.
- Navigate to Insert Pivot Table.
- In the Pivot Table Editor, you will define how your data is summarized by dragging fields into four areas: Filters, Rows, Columns, and Values.
Key Analyses to Optimize Your Future Orders
Here are practical ways to use Pivot Tables for strategic decision-making:
1. Overall Sales Performance by Store
- Rows:Store Name
- Values:Total SalesQuantity Sold
Insight Gained:
Use the same setup as the "Best-Selling Products" analysis but sort the "Sum of Quantity Sold" from smallest to largest. Insight Gained:
The true power of this analysis lies in its application. Use the insights to: Mastering Pivot Tables within your KAKOBUY Spreadsheet
The Ultimate Pivot Table Setup for Product Planning
Analysis Goal
Rows Area
Columns Area
Values Area
Business Decision
Best-Selling Products (Cross-Platform)
Product SKU / Name
(Blank)
Sum of Quantity Sold
Identify top performers to prioritize for inventory and promotion.
Monthly Sales Trend by Store
Store Name
Date (Grouped by Months)
Sum of Total Sales
Understand seasonal fluctuations for each sales channel.
Product Performance per Store
Product Name
Store Name
Sum of Quantity Sold
Discover if a product is a star on one platform but underperforms on another, allowing for platform-specific strategies.
4. Identifying Underperformers
From Analysis to Action: Optimizing Your Orders
Conclusion