Show Menu
TOPICS×

Privacy request processing in Real-time Customer Profile

Adobe Experience Platform Privacy Service processes customer requests to access, opt out of sale, or delete their personal data as delineated by privacy regulations such as the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA).
This document covers essential concepts related to processing privacy requests for Real-time Customer Profile.

Getting started

It is recommended that you have a working understanding of the following Experience Platform services before reading this guide:
  • Privacy Service : Manages customer requests for accessing, opting out of sale, or deleting their personal data across Adobe Experience Cloud applications.
  • Identity Service : Solves the fundamental challenge posed by the fragmentation of customer experience data by bridging identities across devices and systems.
  • Real-time Customer Profile : Provides a unified, real-time consumer profile based on aggregated data from multiple sources.

Understanding identity namespaces

Adobe Experience Platform Identity Service bridges customer identity data across systems and devices. Identity Service uses identity namespaces to provide context to identity values by relating them to their system of origin. A namespace can represent a generic concept such as an email address ("Email") or associate the identity with a specific application, such as an Adobe Advertising Cloud ID ("AdCloud") or Adobe Target ID ("TNTID").
Identity Service maintains a store of globally defined (standard) and user-defined (custom) identity namespaces. Standard namespaces are available for all organizations (for example, "Email" and "ECID"), while your organization can also create custom namespaces to suit its particular needs.
For more information about identity namespaces in Experience Platform, see the identity namespace overview .

Submitting requests

The sections below outline how to make privacy requests for Real-time Customer Profile using the Privacy Service API or UI. Before reading these sections, it is strongly recommended that you review the Privacy Service API or Privacy Service UI documentation for complete steps on how to submit a privacy job, including how to properly format submitted user identity data in request payloads.
Privacy Service is only able to process Profile data using a merge policy that does not perform identity stitching. If you are using the UI to confirm whether your privacy requests are being processed, ensure that you are using a policy with "None" as its ID stitching type. In other words, you cannot use a merge policy where ID stitching is set to "Private graph".

Using the API

When creating job requests in the API, any IDs provided within userIDs must use a specific namespace and type . A valid identity namespace recognized by Identity Service must be provided for the namespace value, while the type must be either standard or unregistered (for standard and custom namespaces, respectively).
You may need to provide more than one ID for each customer, depending on the identity graph and how your profile fragments are distributed in Platform datasets. See the next section profile fragments for more information.
In addition, the include array of the request payload must include the product values for the different data stores the request is being made to. When making requests to the Data Lake, the array must include the value "ProfileService".
The following request creates a new privacy job for a single customer's data in the Profile store. Two identity values are provided for the customer in the userIDs array; one using the standard Email identity namespace, and the other using a custom Customer_ID namespace. It also includes the product value for Profile ( ProfileService ) in the include array:
curl -X POST \
  https://platform.adobe.io/data/core/privacy/jobs \
  -H 'Authorization: Bearer {ACCESS_TOKEN}' \
  -H 'Content-Type: application/json' \
  -H 'x-api-key: {API_KEY}' \
  -H 'x-gw-ims-org-id: {IMS_ORG}' \
  -H 'x-sandbox-name: {SANDBOX_NAME}' \
  -d '{
    "companyContexts": [
      {
        "namespace": "imsOrgID",
        "value": "{IMS_ORG}"
      }
    ],
    "users": [
      {
        "key": "user12345",
        "action": ["access","delete"],
        "userIDs": [
          {
            "namespace": "Email",
            "value": "ajones@acme.com",
            "type": "standard"
          },
          {
            "namespace": "Customer_ID",
            "value": "12345678",
            "type": "unregistered"
          }
        ]
      }
    ],
    "include": ["ProfileService"],
    "expandIds": false,
    "priority": "normal",
    "analyticsDeleteMethod": "anonymize",
    "regulation": "ccpa"
}'

Using the UI

When creating job requests in the UI, be sure to select AEP Data Lake and/or Profile under Products in order to process jobs for data stored in the Data Lake or Real-time Customer Profile, respectively.

Profile fragments in privacy requests

In the Profile data store, the personal data for an individual customer will often be comprised of multiple profile fragments, which are associated with the person through the identity graph. When making privacy requests to the Profile store, it is important to note that requests are only processed on the profile-fragment level, rather than the entire profile.
For example, consider a situation where you are storing customer attribute data in three separate datasets, which use different identifiers to associate that data with individual customers:
Dataset name
Primary identity field
Stored attributes
Dataset 1
customer_id
address
Dataset 2
email_id
firstName , lastName
Dataset 3
email_id
mlScore
One of the datasets uses customer_id as its primary identifier, whereas the other two use email_id . If you were to send a privacy request (access or delete) using only email_id as the user ID value, only the firstName , lastName , and mlScore attributes would be processed, while address would not be affected.
To ensure that your privacy requests process all relevant customer attributes, you must provide the primary identity values for all applicable datasets where those attributes may be stored (up to a maximum of nine IDs per customer). See the section on identity fields in the basics of schema composition for more information on fields that are commonly marked as identities.
If you are using different sandboxes to store your Profile data, you must make a separate privacy request for each sandbox, indicating the appropriate sandbox name in the x-sandbox-name header.

Delete request processing

When Experience Platform receives a delete request from Privacy Service, Platform sends confirmation to Privacy Service that the request has been received and affected data has been marked for deletion. The records are then removed from the Data Lake or Profile store once the privacy job has completed. While the delete job is still processing, the data is soft-deleted and is therefore not accessible by any Platform service. Refer to the Privacy Service documentation for more information on tracking job statuses.
While a successful delete request removes the collected attribute data for a customer (or set of customers), the request does not remove the associations established in the identity graph.
For example, a delete request that uses a customer's email_id and customer_id removes all attribute data stored under those IDs. However, any data which is thereafter ingested under the same customer_id will still be associated with the appropriate email_id , as the association still exists.
In future releases, Platform will send confirmation to Privacy Service after data has been physically deleted.

Next steps

By reading this document, you have been introduced to the important concepts involved with processing privacy requests in Experience Platform. It is recommended that you continue reading the documentation provided throughout this guide in order to deepen your understanding of how to manage identity data and create privacy jobs.
For information on processing privacy requests for Platform resources not used by Profile, see the document on privacy request processing in the Data Lake .