Net Pure Product Margin Report by ASIN

DataChannel’s Net Pure Product Margin Report by ASIN pipeline can be used to request and retrieve data on Amazon’s net pure product margins for selling a vendor’s items. Data is reported at the aggregate level across a vendor’s catalog of items and at the ASIN level across DAY, WEEK, MONTH, QUARTER, and YEAR reporting periods, grouped at the ASIN level.

Read more about the pipeline here

Configuring the Credentials

Select the account credentials which has access to relevant Amazon Vendor Central data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline

Select Net Pure Product Margin Report by ASIN from the dropdown

amazonvendorcentral net pure product margin report by asin list

Setting Parameters

Parameter Description Values

Number of Days

Required

Enter the number of days for which you wish you get the data in each run.

'NUMBER'

Report Period

Required

This refers to the reporting period for the report.

DAY,WEEK,MONTH,QUARTER,YEAR

Default Value: DAY

Insert Mode

Required

This refers to the manner in which data will get updated in the data warehouse, with 'Delete' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement.

Upsert, Append, Replace

Default Value: Upsert

amazonvendorcentral net pure product margin report by asin config

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run

If scheduling is not required, you can use the toggle to run the pipeline manually.

Normal Scheduling

Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.

Advance Scheduling

Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name

Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.

Dataset Description

Enter a short description (optional) describing the dataset being fetched by this particular pipeline.

Notifications

Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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