In the competitive landscape of Amazon marketplace, sellers leverage Sugargoo Spreadsheets to transform raw advertising data into actionable insights. By analyzing metrics like impressions, clicks, CTR, conversion rates, ad spend, and ROAS, sellers can refine campaigns across Sponsored Products, Brands, and Display Ads to maximize efficiency and sales.
Amazon sellers routinely export campaign performance data (CSV/Excel) and import it into Sugargoo Spreadsheets. Key columns typically include:
Example spreadsheet function to clean data: =TRIM(CLEAN(imported_data!A2:Z1000))
Using Pivot Tables and XLOOKUP, sellers compare:
Ad Type | Avg. CTR | Conversion Rate | ROAS |
---|---|---|---|
Sponsored Products | 0.35% | 8.2% | 3.5 |
Brand Campaigns | 0.28% | 6.5% | 2.8 |
Conditional formatting visualizes high/low performers:
Formula example to flag underperforming keywords: =IF(AND([@CTR]<0.2%,[@ACOS]>30%), "Pause", "Keep")
Sellers model scenarios using spreadsheet functions:
=[@CurrentBid]*1.2
(20% increase) with projected CTR impactForecasting example: =FORECAST.LINEAR(new_bid,historical_performance_range,bid_range)
By systematically applying spreadsheet insights, sellers achieve:
"Sugargoo Spreadsheets turned our manual guesswork into a scalable optimization engine - we now reallocate budgets weekly based on modeled projections." - Top 1000 Amazon Seller
Pro Tip: Combine with Amazon's API for real-time data sync, and use QUERY()
functions to automate report generation.