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Enabling learning from Paid-specific models for the Paid channel

Updated on August 3, 2022

If required, you can enable channel-specific adaptive models for paid media to help optimize your advertising based on responses from the Paid channel.

Pega Customer Decision Hub Paid Media Manager User Guide
Unlike surrogate channel models, a Paid-specific model also enables the strategy to take the type of paid destination into account as one of the parameters, so that the same action can have a different priority for YouTube, Instagram, and LinkedIn. This accounts for the difference in how each individual is influenced by each destination for each action.

To enable Paid-specific models, perform the following steps:

  1. In Dev Studio, create a dynamic system setting with the following values:
    • Purpose - dataflow/paidmedia/paidstrategy/enableStoreDecisionResults
    • Ruleset - PegaMKT-Engine
    • Value - true
  2. If your Next-Best-Action strategy uses real-time containers or real-time event triggers, refresh the Next-Best-Action Designer configuration by performing the following steps:
    1. In the Pega Customer Decision Hub portal, click Next-Best-ActionDesignerChannelsEdit.
    2. Click Save.
    Note: You do not need to refresh the Next-Best-Action Designer configuration if you use only outbound runs.
  3. Optional: To disable delayed learning again, change the value of the enableStoreDecisionResults dynamic system setting to false, and then edit and save the Channels tab in Next-Best-Action Designer again.
What to do next: For more information about configuring and running paid strategies, see Extending next-best-action to digital advertising platforms with Paid Media Manager.
    • Previous topic Enabling learning from own-channel models for the Paid channel
    • Next topic Configuring the PaidMediaSync queue processor to optimize performance

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