Product sales
Prepare the sales measure from the agreed export and label its basis clearly. Sales, settlements, refunded amounts and cash paid out are different values and should not share an ambiguous revenue label.
Amazon marketplace data + Monthwrap
Your own data reporting
Amazon marketplace reporting from your exports.
Prepare Amazon sales, unit and advertising figures for upload, then combine them with the work your marketplace agency delivered.
AvailablePrepared CSV / Excel upload
Inside the monthly reportSample data
Marketplace Studio / Northline Home
A prepared marketplace snapshot
Product sales$6,405Total across the four sample days
Units sold281Prepared units column
Ad spend$881Separate advertising cost column
Prepared numbersMonthly report
| Record | Reported numbers |
|---|---|
| 2026-10-01 | $1,500 sales |
| 2026-10-02 | $1,620 sales |
| 2026-10-03 | $1,485 sales |
| 2026-10-04 | $1,800 sales |
Prepared sample figures. Rows show product sales, which are not Amazon payout, profit or a separate amount to add to ad-attributed sales.
Amazon marketplace data, at a glance.
- Connect with
- Prepared CSV / Excel uploadNo native Amazon connector. Prepare dated numeric columns from your exports before uploading; raw Amazon reports are not automatically mapped.
- Updates
- Whenever you upload a prepared CSV or Excel file.
- Earlier months
- Include the earlier dates you have in the file. Re-uploading a date and metric replaces that uploaded value.
- In your report
- Sales, units and ad spend that you prepare.
Built around your client’s questions
The account is bigger than an advertising export.
For Amazon marketplace agencies using prepared CSV or Excel data.
A marketplace agency works across listing content, campaign changes and the commercial reality of the store. A client needs to understand the sales period and the work delivered, not simply receive another export with unfamiliar columns. Start by deciding which figures answer the client’s questions and what each one means.
Monthwrap supports this through prepared numeric uploads. Arrange the selected Amazon figures by date, bring them into the client workspace and build a report around the relevant sales, units and advertising measures. Add the listing and optimization work your team records. This is an upload workflow, with no native Amazon account sign-in or automatic mapping of raw reports.
Choose the numbers that matter
What Amazon marketplace data
brings to the report.
Sales, units and ad spend that you prepare. Choose the relevant figures, add comparisons where the data supports them, and explain what changed.
Units sold
Bring a dated units measure to help explain volume alongside sales. State whether returns or other adjustments are included, and keep the definition consistent between reporting periods.
Advertising spend
Import ad costs as their own dated number with a clear currency. Use a compatible reporting period when discussing spend alongside product sales or other marketplace outcomes.
Prepared efficiency measures
If you include an advertising ratio, explain its numerator, denominator and attribution window. Calculate the period measure appropriately rather than adding daily ACOS or ROAS values.
For your next client report
A marketplace management retainer
Combine the client’s prepared sales figures with listing, content and campaign work recorded by the agency. Explain what changed during the month and which issues need attention next.
Arrange the report in your own layoutRead it from the client’s side
See the complete
Amazon marketplace report.
A full fictional agency report, with the work delivered, the numbers behind it and the plan for next month. Use its structure to plan your own mix of sources and client results.
Open the sample reportMake the connection
From Amazon marketplace data
to the right client.
No native Amazon connector. Prepare dated numeric columns from your exports before uploading; raw Amazon reports are not automatically mapped.
Connection methodPrepared CSV / Excel uploadAvailabilityAvailableYour connected account’s API permissions and plan apply.
- 01
Choose and reconcile the exports
Select the marketplace and reporting period, then confirm which sales, unit and advertising definitions the agency will use. Keep the source exports available for checking.
- 02
Prepare dated numeric columns
Build a CSV or .xlsx file with dates first and one named numeric column per measure. Raw Amazon exports may need rearranging; they are not automatically mapped by Monthwrap.
- 03
Import and review the report
Upload to the correct client, review errors and metric settings, then compare selected dates with the source. Add the work delivered and a clear explanation before sharing the report.
Know what each
number means.
No native Amazon connector
There is no Amazon OAuth connection, direct Seller Central sync or automatic Sponsored Ads import in this route. Your agency prepares and uploads the numbers it wants to report.
Sales is not profit
A sales total alone does not account for fees, fulfilment, returns, cost of goods or settlement timing. Only present a profit measure when you have prepared and explained the necessary inputs.
Before you connect
A few useful
answers.
Can I connect Amazon directly?
This page describes a prepared CSV or Excel workflow. There is no native Amazon sign-in or direct account sync. The integration directory labels the route as an upload so agencies can plan their reporting process accurately.
Will a raw Seller Central export work unchanged?
Only if it already matches the expected dated numeric layout. In most cases, select and rearrange the relevant fields first. Monthwrap does not automatically interpret every Amazon report format.
Can I see a complete marketplace agency report?
Yes. The Amazon marketplace sample report shows how prepared results and agency work can form a complete report. Its figures are fictional examples, and the sample is not evidence of a direct Amazon connection.
Start with your next client report
The data has a source.
The story has your name.
Bring your sources together, choose your layout and add the context your client needs.
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