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Benefits of Using Unique Properties
Benefits of Using Unique Properties

Learn about use cases for utilizing Unique Properties in Rally.

Sophie avatar
Written by Sophie
Updated over 7 months ago

When creating new Custom Properties, when the Unique characteristic is enabled, the content of the Property can appear only once. This is useful for usernames or custom identifiers and for companies where Participant emails are unavailable or may not be the preferred unique user identifier.

  • The Unique characteristics can only be set during Property creation.

  • The Unique characteristics cannot be removed after Property creation.

  • Currently, Rally only allows "Text" Property Types to be Unique.

  • You can have up to 10 Unique Properties in one company Workspace.

💡 Email outreach in Rally will not be possible if you don’t track or store email addresses for Participants.

Data Integrity

Unique Properties ensure each Participant's data is accurately tracked and managed throughout the research process. This helps maintain data integrity by avoiding duplicates or misattributions.

Privacy Protection

Using unique Properties instead of personally identifiable information (PII) like email addresses helps protect Participant privacy. It reduces the risk of sensitive information being exposed or misused.

Flexibility

Unique Properties provide flexibility in Participant identification. Unlike email addresses, which may change or be unavailable, Unique Properties can be assigned based on various criteria, such as usernames, numeric IDs, or custom identifiers.

Integrations

Unique Properties facilitate seamless integration with other systems and databases. They allow researchers to import Participant data from different sources, such as Salesforce, Snowflake, or analytics tools like Amplitude, without relying solely on email addresses.

Consistency

With Unique Properties, researchers can maintain consistency in Participant tracking across multiple Studies or Panels.

Scalability

Unique Properties support scalability by enabling researchers to manage large Participant datasets efficiently. They provide a structured approach to Participant management, making it easier to scale research operations.

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