B2B Product Opportunities-Recommended for you Report

B2B Product Opportunities-Recommended for you Report can be used to request and retrieve comma-separated report. It includes recommended products that might be a good opportunity for the selling partner’s business on Amazon. Each report offers up to 10,000 recommendations and is refreshed weekly by Amazon. This report is only available in the US, Spain, UK, France, Germany, Italy, India, Japan marketplaces.

Configuring the Credentials

Select the account credentials which have access to relevant Amazon Seller 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 B2B Product Opportunities-Recommended for you Report from the dropdown

amazonsellercentral b2b product opportunities recommended for you report list

Setting Parameters

Parameter	Description	Values
Categories	*Optional* Enter a semicolon separated list of Categories to use to filter the report.	{Category1; Category2;____} *Default Value:* ALL
Sub-Categories	*Optional* Enter a semicolon separated list of Subcategories to use to filter the report.	{Sub-Category1; Sub-Category2;____} *Default Value:* ALL
Depersonalised	*Optional* Choose whether you want to request a depersonalized report. A depersonalized report provides default recommendations that are not customized based on current seller history.	{TRUE, FALSE} *Default Value:* FALSE
Filter Mode	*Optional* Use "include" to include only the Categories or Sub-Categories specified by you, or "exclude" to exclude them from the report.	{INCLUDE, EXCLUDE} *Default Value:* INCLUDE
Insert Mode	*Required* Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.Recommended to use "Upsert" option unless there is a specific requirement.	{Upsert, Append, Replace} *Default Value:* UPSERT

Parameter

Description

Values

Categories

Optional

Enter a semicolon separated list of Categories to use to filter the report.

{Category1; Category2;____}

Default Value: ALL

Sub-Categories

Optional

Enter a semicolon separated list of Subcategories to use to filter the report.

{Sub-Category1; Sub-Category2;____}

Default Value: ALL

Depersonalised

Optional

Choose whether you want to request a depersonalized report. A depersonalized report provides default recommendations that are not customized based on current seller history.

{TRUE, FALSE}

Default Value: FALSE

Filter Mode

Optional

Use "include" to include only the Categories or Sub-Categories specified by you, or "exclude" to exclude them from the report.

{INCLUDE, EXCLUDE}

Default Value: INCLUDE

Insert Mode

Required

Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.Recommended to use "Upsert" option unless there is a specific requirement.

{Upsert, Append, Replace}

Default Value: UPSERT

If both a list of Categories and Sub-Categories are provided, the returned report will only filter for Sub-Categories, and disregard the input from Categories.

amazonsellercentral b2b product opportunities recommended for you report 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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