Marketing score
Every treatment rule contains a marketing score that is represented by the slider. The default score is 50. The higher a score, the more likely it is that Interact selects the offer to recommend. Depending on how you configure your treatment rules across multiple campaigns, you can have multiple offers that are assigned to the same smart segments.
Interact uses the marketing score to help determine which offer displays if multiple offers are available for a single request. For example, if a request for offers must choose between offer A with the marketing score of 30 and offer B with the marketing score of 80, Interact presents offer B.
If two or more of the highest-scoring offers have the same score, Interact breaks the tie among the offers by making random selection from the matching offers. This helps to ensure that a single visitor interacting in the same zone multiple times is more likely to see different offers on each interaction.You can change this behavior, if wanted, by modifying the Interact | offerServing | offerTieBreakMethod configuration property. See the "Interact Runtime Configuration Properties" appendix of the Interact Administrator's Guide for details.
If you assign the same offer to the same segment with different scores, for example, two different campaigns might create treatment rules for the same interactive channel, Interact uses the higher score.
You can also define the marketing score by using advanced options for the treatment rule. You can build an expression by using IBM® macros, offer attributes, session variables, dimension tables, and any value in a customer's profile to define the marketing score.
You can override any changes to the marketing score made on the interaction strategy tab by providing data in a score override table. Using a score override table, you can easily import scores that are generated in IBM® PredictiveInsight, Contact Optimization, or some other modeling software. In the Score Override table, you can define scores greater than 100.
If you enable built-in learning, the marketing score is used in the learning algorithms.
For details about working with the score override table, see the Interact Administrator's Guide.