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Define your audience

You typically define use case audiences in a customer engagement platform (such as Braze or Salesforce Marketing Cloud) and then send them to the Decisioning Studio Pro agent, which divides customers into treatment groups to conduct randomized controlled trials.

Treatment groups

Group Description
Decisioning Studio Pro Customers who receive AI-optimized recommendations
Random Control Customers who receive randomly selected options (baseline comparison)
Business-as-Usual (optional) Customers who receive the current marketing journey (for comparing against existing performance)
Holdout (optional) Customers who receive no communications (to measure overall campaign impact)

Configure your audience

  1. Create a segment for the audience you want to target.
  2. Provide the Segment ID to your AI Decisioning Services team.
  1. Configure an SFMC Data Extension for your audience and provide the data extension ID
  2. Set up SFMC Installed Package for API integration with the appropriate permissions required by Decisioning Studio Pro
  3. Confirm this data extension is refreshed daily, as Decisioning Studio Pro pulls from the latest incremental data available

Provide the extension ID and API key to the AI Decisioning Services team, who assist with the next steps for ingesting customer data.

Google Cloud Storage

If the audience is not currently stored in Braze or Salesforce Marketing Cloud, then the next best step is to configure an automated export directly to a Braze-controlled Google Cloud Storage (GCS) bucket.

To determine whether this is feasible, refer to the documentation for your platform. For example, mParticle offers a native integration with Google Cloud Storage. If this is the case, Braze can provide a GCS bucket to export audience data to.

Additional resources

Next steps

After defining your audience, proceed to set up orchestration:

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