Profitability Analysis
Understand how DataHawk builds Amazon Seller profitability reporting, where to read profit metrics, and when to use the ledger reference.
Profitability analysis in DataHawk connects Amazon financial events, advertising costs, refunds, taxes, and your uploaded cost data into a complete view of business performance. Use this guide when you need to understand how margins are built, why some P&L lines appear at account level, and where to go when you need the underlying tables.
What Profitability Analysis covers
DataHawk's Amazon Seller profitability analysis helps you move from top-line sales to true profitability. It brings together sales revenue, refunds, COGS, Amazon fees, marketing spend, adjustments, and tax treatment.
| Layer | What it answers |
|---|---|
| Revenue | How much customers paid before refunds, costs, and fees |
| Refunds | How returned or reversed orders reduced revenue |
| COGS | How your uploaded product cost affects gross profit |
| Amazon fees | Fulfillment, storage, service, warehousing, and related Amazon charges |
| Marketing | Sponsored ads, coupons, and promotional costs |
| Taxes and adjustments | Tax treatment, corrections, and other financial movements |
Where to use it
Use Profitability Analysis when you want to:
- Understand whether sales growth is also creating margin
- Compare profitability by brand, product, SKU, or ASIN
- Separate revenue issues from cost, fee, or advertising issues
- Review profitability after a campaign, promotion, price change, or fee increase
- Build weekly or monthly finance reporting from DataHawk tables or dashboards
What to set up first
Profit reporting needs your Amazon Seller account connection and your product costs.
| Requirement | Why it matters |
|---|---|
| Amazon Seller account | Provides financial events, orders, refunds, and fee information |
| Amazon Advertising account | Adds advertising spend where it needs to affect profitability |
| COGS upload | Lets DataHawk calculate gross profit and downstream margin |
| Product mapping | Helps connect financial events to products, brands, and SKUs |
Without COGS, DataHawk can still show revenue, refunds, Amazon fees, and marketing costs, but it cannot calculate true gross profit or net profit.
Common reading questions
Where to read profitability
| Need | Best starting point |
|---|---|
| High-level P&L | Seller Analytics dashboard |
| Profitability by SKU or ASIN | Profit Explorer |
| Brand -> SKU breakdown with fees and ad spend | Download Center |
| Account-level fees such as storage | "No Brand" / "No SKU" row in Download Center |
| Exact tables, metrics, and SQL | Amazon Seller Profit Data technical reference |
Organic vs. paid sales breakdown is not currently available in the Download Center view.
Where to go next
When you need table names, metric formulas, accrual vs. recorded methodology, deferred transaction fields, or SQL examples, use the technical reference.
Amazon Seller Profit Data
Profit ledger, metric tables, event sources, accrual and recorded views, and SQL examples.
Why are fees under No SKU?
Why account-level Amazon fees appear without a product or brand, and what to check.
Upload Amazon COGS
Add product costs so DataHawk can calculate gross profit, operating profit, and net profit.