Each type of product recommendation has different data dependencies, and the Insight data checker can identify issues in your data. This tool appears in the sidebar when you create a new product recommendation.
For products to be available for selection in a product block, they need to be added to an account's AccountInsight in a collection name that's prefixed with catalog_.
The checks identify two categories of problem:
Warnings
You can still create the recommendation, but the results won't be optimal.Errors
The state of your data prevents the recommendation from being created.
The Insight data checker works at two levels: catalogue and product. The catalogue level flags schema issues, while the product level identifies the specific product causing the problem.
Validation types
The following table details the Insight data checks performed on your data.
Type | Description | Status |
Schema validation | Checks whether the dependent Insight data collections use a valid schema and have the correct fields.
| Error |
SKU validation | Checks whether each product has a unique SKU. This field must be unique, otherwise, your best sellers may wrongly attribute sales. | Warning |
URL validation | Checks whether your products have valid links. Without a valid link, contacts aren't able to click through to view the product. Links must be full URLs pointing to your live website. | Warning |