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Personalization Hub Manual / Version 2301

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Creating Experiences for Segmentation

The supported segmentation use case divides the customer base into disjoint sets of segments. For each segment, you want to use, you have to create a P13NSegment in CoreMedia Studio. You have two ways of applying an experience to a segment:

  • Each segment can be used as a direct target rule of an experience.

  • The Monetate AI decides about the segment with a single individual fit experience.

For the first case you create an experience for each segment, while for the second case you only create one experience with all segments.

Prerequisites

You have already defined P13NSegment content items in Studio as described in Section 4.2.2, “Creating Segments in Studio”.

Direct Target Rule
  1. Define an experience with the goal to serve everyone the same experience. Apply the required targeting rules and add a single variant with the CoreMedia JavaScript action.

    Define Monetate experience

    Figure 4.8. Define Monetate experience


  2. Select the variant action and paste the following code into the JavaScript code field:

                cm_p13n.pushSegment("<segment_name>");
                

    Replace <segment_name> with the name of the corresponding Studio content item, which you have created in Section 4.2.2, “Creating Segments in Studio”.

    Add code to variants

    Figure 4.9.  Add code to variants


  3. Continue with experiences for other segments.

AI Optimized Content Selection
  1. Create a single experience with goal To optimize my goal with Machine Learning. Individual Fit. For each segment add a variant.

    Add an experience for AI powered segmentation

    Figure 4.10.  Add an experience for AI powered segmentation


For each variant add a single CoreMedia action and paste the following code into the JavaScript code field:

          cm_p13n.pushSegment("<segment_name>");
        

Replace <segment_name> with the name of the corresponding Studio content item, which you have created in Section 4.2.2, “Creating Segments in Studio”.

Experience for AI powered content selection

Figure 4.11.  Experience for AI powered content selection


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