September 22, 2026 by InsightLeap
You have the report on screen, the range and the view are set, and the only thing left is getting the numbers into a file you can work in. That part takes one click, and everything that matters happens around it: which control you clicked, what format came down, how much history that single download was allowed to hold, and whether the file will line up with the one you pulled last week.
If you are still hunting for the report itself, our walkthrough of Retail Analytics in Vendor Central covers the menu path and every setting on the page, along with the mapping for anyone arriving with Seller Central habits. The two consoles run separate reporting systems, so the export flow you know from the seller side does not carry over. Everything below picks up at the download.
Vendor Central has no single export that spans report types. Each report carries its own export step, and the file it produces covers that report alone.
Inside Retail Analytics, the Sales, Inventory, and Traffic reports each sit on their own report tab with their own download step, so you open a report, set it up, export it, and then go back and repeat the sequence on the next one. Pulling all three means three trips through the console.
Purchase order data sits outside Retail Analytics entirely, and nothing inside Retail Analytics reaches it. The path is Orders, then Purchase Orders, then Manage POs, where the action waiting for you is Export PO to CSV. So a question as ordinary as "how did shipped units track against what was on order" starts life as two exports pulled from two different parts of the console.
One report per download is the operating rule across all of them, which means any comparison across report types happens later in a spreadsheet, on a join key you build yourself. Keep that in mind when you plan a weekly routine: the time goes into walking the console once per report, and the downloads themselves take seconds.
The download control on a Retail Analytics report returns the report as an Excel or CSV file, and on the purchase order side the action is named for CSV specifically.
What lands in the file is whatever was on the screen when you clicked. The column picker that shows and hides columns on the report page carries into the export, so two downloads of the same report over the same range can come back with different columns if somebody adjusted the view in between. Every other upstream decision travels the same way: the granularity, the date range, the distributor view, and the ASIN filter all shape the file, and none of them is recorded anywhere inside it.
So reset the view to a known state before you export anything you intend to compare against an earlier file, and keep a note of what that state was. The filing convention further down is mostly a way of writing that note somewhere you cannot lose it.
Setting the range, the granularity, and the distributor view is covered in the walkthrough linked above. What that piece leaves open is how much any single download is allowed to contain, and the ceilings are tight enough to change how you work.
Taken together, those four describe a window that slides forward and drops its trailing edge whether or not you pulled what was there. Any trend line longer than the lookback has to come out of exports you already took and kept.
Three things go wrong often enough to plan around.
On a wide date range or a large catalog, the export can queue instead of dropping straight into your browser, and you retrieve the finished file from a downloads list in the console. If a big pull does not appear right away, go and look for it there before you assume the click failed and start the whole thing over.
Change the columns, the ASIN filter, or the distributor view between pulls and the second file will not sit under the first in a spreadsheet. If an export feeds something you maintain, write the exact settings down once, next to the file, and reset to them every time you come back.
A weekly export is Amazon's aggregation over its own Sunday-through-Saturday week, while the most recent daily rows are still settling as you read them. Those are two different calculations over two different windows, so pick the granularity that answers your question and stay on it instead of building a series that mixes both.
A folder holding Retail_Analytics_Report(3).csv and four files named like it is not an archive, and fixing that costs about ten seconds per download.
Name every file with the decisions the console made you take, because nothing inside the file will reconstruct them for you six months later: report type, distributor view, granularity, and date range.
sales_manufacturing_weekly_2026-08-24_2026-09-20.csv
inventory_sourcing_monthly_2026-08-01_2026-08-31.csv
Files named that way sort chronologically inside any folder and say what they are without being opened. A skipped period shows up as a gap in the sequence, which is the whole reason the date range belongs in the name.
Then keep one folder per report type rather than a single shared reports dump. The join across types happens later in a spreadsheet, and it is far easier to build when each report type is already a complete, date-ordered run of its own.
Last, export on the same cadence you are archiving: weekly exports pulled weekly, monthly exports pulled monthly, off a calendar reminder instead of from memory. A week you skip is a hole in the series, and once the console's lookback window closes over it, nothing in the interface will backfill it for you.
Two limits sit underneath everything above, and neither has a fix inside the console.
The first is the missing join. Every report is its own download, on its own range, in its own view, so assembling them into one picture is your work, repeated in full every time the question comes up.
The second is retention. File your exports perfectly and you still hold history only from the day you started filing, because anything older than the console's own lookback, along with any period you never pulled, is unreachable through the interface however disciplined the folder is.
InsightLeap covers that second limit. It keeps historic VC reports past what Amazon's own interface will show you, along with product-level sales, inventory, and purchase order data pulled on a schedule, so the archive described above exists without anyone maintaining it by hand. The features page covers what it holds.
If you do one thing with this today, pick the two reports you actually use, export each at the granularity you care about, rename both files on the way into a folder named for their report type, and put a recurring block on the calendar for the same day next week. Do that again the week after, and by the time someone asks for a year-over-year read you will still have the periods the console has already dropped.