audiencesfrom

AudiencesFrom is a term used in data-driven marketing and software platforms to describe a mechanism for deriving audience segments from one or more data sources. It may refer to a function, API parameter, or configuration directive that aggregates user identifiers from input sources to produce a targetable audience for campaigns, analytics, or personalization.

In practice, audiencesFrom accepts a list of sources such as customer relationship management (CRM) data, website event logs, mobile app analytics, and third-party data providers. The operation may include identity resolution, data normalization, and privacy controls. Depending on the platform, it can produce either a static audience snapshot or a dynamic audience that updates as sources change. Filters, lookback windows, and minimum activity thresholds are commonly supported to refine the resulting segment.

Example usage might look like audiencesFrom(['crm','webEvents','appAnalytics'], {country: 'US', minPurchases: 1, lookbackDays: 30}). The resulting audience can be used for targeted advertising, personalized messaging, or incremental analytics experiments.

Origins and naming vary by platform; audiencesFrom is not a standardized API across vendors. The concept aligns with broader practices in audience segmentation and customer data platforms, identity resolution, and lookalike modeling.

Considerations include data quality, consent and privacy compliance, cross-source matching challenges, and latency. Responsible use should respect user preferences and regulations such as GDPR or CCPA.

See also: audience segmentation, customer data platform, identity resolution, lookalike modeling.