The Recommendation component,
<esales-recommendation>, is used to enable product recommendations on pages. Recommendations are currently only supported when used together with the Product page component,
The Product page component keeps track of notifications and visitor interactions and requires a product key supplied to its
product-key-attribute. It is recommended to supply the key either dynamically or statically.
<esales-product-page [product-key]="product.key"></esales-product-page> <esales-recommendation zone-id="sp2" size="8" type="ALTERNATIVE" label="Similar items"></esales-recommendation> <esales-recommendation zone-id="sp1" size="4" type="COMPLEMENTARY" label="You might also like"></esales-recommendation>
Risk of incorrect usage
Using an incorrect key, e.g. a product group key or a variant key, will result in incorrect notifications and in turn incorrect statistics. No product recommendations will be displayed if an incorrect key is used.
Ensure that a product key is used.
A product key must be an exact match of a product's key in the data feed. I.e. discontinued products that purposely have not been added to the data feed, but still exists on the site, will not be able to display recommendations for that product.
Dynamic product key¶
If a product key is set dynamically in the Product page component it must be in the form of
Static product key¶
product-key can be set with a static value to the attribute. The following example has the key
P1 set as the value for
Key retrieval via URL
If a product key is not available, the Product page component will try to find the product based on the URL provided for each product in the product feed. This requires a set-up of the
productPageUrlPrefix as defined in the Script initialisation.
It is however recommended to always supply a product key and not rely on retrieval though the URL.
If there are multiple URL paths leading to the same product, the Product page component will not be able to resolve a product key on all paths.
If multiple products share the same product page URL, recommendations based on product page URL will choose a product to make recommendations for at random.
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