In the world of agent shopping, making informed purchase decisions is key. Beyond checking individual QC photos, Sugargoo's powerful spreadsheet feature offers a macro view of product quality, allowing you to analyze trends and filter data for smarter, more confident purchases.

Why the Spreadsheet is a Game-Changer

While Quality Control (QC) photos provide a snapshot of a single item, the Sugargoo Spreadsheet

  • Identify Long-Term Trends:
  • Move Beyond Anecdotes:
  • Proactive Risk Reduction:before

How to Filter and Analyze for Informed Choices

The true power of the spreadsheet lies in filtering. Here’s how to slice the data to find exactly what you need.

1. Filtering by Product Type or Category

Looking for a specific item like "Jordan 4" or "designer t-shirt"? Use the product type/category filter.

  1. Locate the column for "Product Name""Category".
  2. Apply a filter to show only rows containing your keywords.
  3. Analyze the aggregated QC pass/fail or noted flaw rates for that specific product type. A high flaw rate for a particular sneaker model is a major warning sign.

2. Investigating by Supplier or Seller

This is crucial for finding reliable sources. Use the "Seller""W2C Link"

  1. Filter the spreadsheet to show orders from a specific seller or store link.
  2. Examine the consistency of their QC results. Does 90% of their product get a "QC Pass"? Or are there frequent issues like color mismatches or poor stitching?
  3. Combine this with sorting by date

3. Tracking Specific Flaws Over Time

Use the "QC Remarks"

  1. Filter for common keywords like "sole flaw", "glue stain", "size small", or "color difference".
  2. Notice which products or sellers are most associated with these recurring issues. This helps you understand the typical risks

Turning Data into Your Action Plan

After filtering, your analysis should guide your next steps:

  • Green Light:
  • Proceed with Caution:
  • Red Flag:

By mastering the Sugargoo spreadsheet, you transition from a reactive shopper to a strategic one. You leverage the power of community data to predict quality, minimize risks, and ultimately build a haul you can trust.