The factor value

Use the factor value for emphasis and de-emphasis rules to increase the affinity score of items that match the rules conditions.

When you are creating emphasis and de-emphasis rules, you have a factor option. With this option, you can adjust how much emphasis to place on recommendations that match the rule conditions.

As part of the Digital Recommendations process, each recommendation is scored and ranked based on the strength of its affinity to the target.

Using the factor value with emphasis rules: When you use emphasis rules, you can use the factor value to increase the affinity score. The factor value increases how much items are emphasized. For example, if a recommendation has a score of 500 and you use a factor of 2, the new score is 500*2=1000. This can change the rank of the recommendation and move it further to the front of the recommendation list.
Using the factor value with de-emphasis rules: When using de-emphasis rules, you can use the factor value to decrease the affinity score. The factor value increases how much items are de-emphasized. For example, if a recommendation has a score of 500 and you use a factor of 2, the new score is 500 / 2=250. This can change the rank of the recommendation and move it further toward the end of the recommendation list.

When multiple factors affect a target/recommendation pair

There are three scenarios when multiple factors apply to a target recommendation pair.

Multiple emphasis rules: If you are using multiple emphasis rules that use the factor value, and a target/recommendation pair is affected by both rules, the factor values are combined. For example, if a recommendation has a score of 500 and has two factor values that apply: 2 and 3, the resulting factor is 500*2*3= 3000.
Multiple De-emphasis rules: If you are using multiple de-emphasis rules that use the factor value, and a target/recommendation pair is affected by both rules, the factor values are combined. For example, if a recommendation has a score of 500 and has two factor values that apply: 2 and 3, the resulting factor is 500/(2*3)=83.3.
Emphasis and De-emphasis rules: If you are using emphasis and de-emphasis rules that use the factor value, and a target/recommendation pair is affected by both rules, the factor values are combined. For example, if a recommendation has a score of 500 and has 2 factor values that apply: emphasis of 2, de-emphasis of 3, the resulting factor is (500*2)/3=333.3.

The factor value that is required to change the rank of a recommendation is different for every offer, so you need to try multiple factors to get specific results.