Unlocking the Power of Data to Find Your Top-Performing Sellers
For the savvy shopper on SuperBuy, the service isn't just about purchasing items—it's about mastering the platform. One of the most powerful, yet underutilized, tools at a power user's disposal is the order history spreadsheet. By moving beyond single transactions and analyzing data over time, you can transform raw numbers into actionable intelligence, identifying reliable, high-quality sellers who consistently deliver value, month after month.
The Core Analytical Toolkit
Effective trend analysis rests on three fundamental techniques: sorting, averaging, and visualization. Here’s how to apply each to your SuperBuy data.
1. Strategic Sorting & Filtering
The first step is to organize your chaos. Export your complete order history from SuperBuy, which typically includes columns for Seller Name, Item Purchased, Price (CNY), Purchase Date, and Agent Remarks
By Seller & Date:Seller NamePurchase Date
Filter for Timeframes:
2. Calculating Averages & Key Metrics
Raw prices are just numbers; averages tell a story. Create a separate summary sheet where you list each unique seller.
Average Item Price:
Purchase Frequency:
Quality Consistency Score:
3. Visualizing Trends with Charts
Our brains process visuals faster than tables. Transform your summary data into charts.
Line Chart for Price & Consistency:
Bar Chart for Monthly Frequency:
Sparklines (Mini-charts):
Putting It All Together: A Monthly Review Routine
Imagine it's the end of October. You export your Q3 (July-Sept) data.