Manual CSV File Mapping for "idSpecific" Objects in the UI

Question

Hi all,I am wondering how manual CSV file mapping will work with the idSpecific object in the UI. Specifically, in some systems, we can only generate CSV consent for specific emails. If the data comes in CSV format, how can we map the idSpecific using the UI? We need to use idSpecific because a user might have different email addresses and consent status for each of these emails. For example, our data is in a table format like this:membershipIDemailconsentabc123test_1@example.comyabc123test_2@example.comn How can we map this data in the UI as an idSpecific object like below? Wondering if we can use any wildcard char for this mapping works?"idSpecific": {
  "email": {
    "test_1@example.com": {
      "marketing": {
        "email": {
          "val": "y"
        }
      }
    },
    "test_2@example.com": {
      "marketing": {
        "email": {
          "val": "n"
        }
      }
    }
  }
}  Thanks,Imv

Indra-2 · Accepted Answer

"consents": { "collect": { "_adobexxxxxx": { "Email": f"john.smith{i}@abc.com" }, "val": "y" }"consents": { "collect": { "_adobeqxxxxxx": { "Email": f"john.smith11{i}@abc.com" }, "val": "n"}

Anil_Umachigi · Answer

@bestimv create a custom field group and pass multiple email address in an array, assuming membership id is primary key you can map multiple emails with consents.

Ideally you will create a custom consent field group and pass consent for other channels within the same field group

Hope that helps

Anil

membershipID	email	consent
abc123	test_1@example.com	y
abc123	test_2@example.com	n

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