Before using Margin Optimized Recommendations in your Bluecore campaigns, the first step is to import relative or actual margin data for your products to the Bluecore product catalog.
This article provides an overview of how to import product-level margin data into Bluecore that will enable the following features:
To utilize these features, you must provide product margin data that maps cleanly to existing product IDs within the Bluecore catalog. Upload files through Bluecore’s file import process.
Please be sure the data upload satisfies the following requirements:
- The data file type must be a .csv file.
- The uploaded margin data contains a meaningful range of values.
- The majority of products within the catalog are assigned a margin value.
The following fields must be uploaded to use Bluecore’s Margin Optimization features:
| Field | Data Type | Description | Cadence |
|---|---|---|---|
| ID | String | This field maps to existing product IDs within the Bluecore catalog. | The suggested cadence for this type is monthly, but this can occur more frequently if product-level margin values change often enough to justify doing so. |
| partner_margin_score | Float | A numerical margin value for each product which can be either:
The actual margin value (e.g. product id 123 with a margin of 40% would be represented simply as 40) OR Ageneralized score which is representative of the relative product ranking by actual margin value (e.g. a range of 1-10 where the lowest margin products are bucketed by a score of 1 and the highest margin products are bucketed by a score of 10) |
The suggested cadence for this type is monthly, but this can occur more frequently if product-level margin values change often enough to justify doing so. |
New data will be reflected within the Margin Optimization Dashboard the following day after upload.
Below is a successful example of the a one-time upload of a product margin file via the file management workflow within the Bluecore UI:
