Using indirect engagement signals, create custom objectives for offers in
objective-based recommenders. This objective trains the machine learning model to deliver
relevant, personalized offers that drive your business goals. To do this, the model links
promotional offers to downstream conversions, such as product purchases.
Required Editions
User Permissions Needed
To configure recommenders:
Change and Edit Recommenders
Custom objectives with indirect signals differ from standard objectives. Make sure you meet
these requirements.
When you configure the engagement signal metric for the objective, provide the offer as the
item identifier.
Configure the Profile Data Graph to include both the indirect item (for example, offer) and
direct item (for example, product or form).
Configure the conversion event ingested into Data 360 from SDK or a data stream to track the
specific offer applied during the conversion. If an offer has a many-to-one (N:1) relationship
with a promotion, identify the promotion in the conversion event instead of the offer.
Select an engagement signal metric that identifies the promotion or offer as the item
identifier.
This item identifier must match the identifier that you plan to include with your
conversion event. For example, see Example: Product Order with Offer.
Click Next
Select additional engagement signals to train the machine learning model.
For these additional signals, use the direct conversion item, such as the purchased
product, as the item identifier.
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