Getting Started with Audiences

This article serves as a structured index to help you navigate and understand the core concepts, tools, and workflows for building, managing, and deploying audiences. Below, you’ll find categorized topics with brief descriptions of each guide and how they can assist you.

Audience Overview

• Audiences- An Overview
  This guide explores the core components of Syntasa’s Audience Module and how they work together to transform raw data into actionable customer segments.

Data Layer

The Data Layer is the foundation for audience creation, enabling seamless integration and organization of data sources.

• Data Layer Overview
  Learn the basics of Syntasa’s Data Layer, its purpose, and how it centralizes data for audience-building workflows. Ideal for understanding prerequisites and architecture.

• Creating a Data Layer
  Step-by-step instructions to configure and deploy a Data Layer, including source connections and dataset configurations.

• Data Layer Dependencies
  This screen shows which components (like Attributes, Audiences, or Sync Apps) rely on the Data Layer. Managing these dependencies ensures seamless operations—for example, modifying a dataset in the Data Layer may require reprocessing connected Attributes or Audiences. 

• Attribute and Audience Results Table
  Understand how Syntasa stores computed results from Attributes and Audiences, including schema details and usage in downstream processes.

Attributes

Attributes define the behavioral or demographic criteria used to segment audiences.

• Attributes List
  Browse pre-built Attributes and learn how to filter, search, and apply them to audience criteria.

• Creating Attributes Using Attribute Builder
  Build custom Attributes manually using logic-based rules, filters, and SQL-like syntax.

• Creating Attributes Using Auto-Extract
  Generate attribute values automatically from distinct values from the selected source column instead of manually defining each attribute value.

• Executing Attributes
  Run and test Attributes to validate outputs and ensure accuracy before integrating them into audiences.

• Attributes Result Tables
  Review the structure and content of Attribute result tables, including how to access and interpret computed data.

Audience

Audiences are dynamic customer segments created by combining Attributes and logic.

• Audience List
  Manage existing Audiences, view performance metrics, and organize them for campaigns.

• Creating Audience Using Audience Builder Page
  Design Audiences step-by-step using drag-and-drop tools, logic operators, and pre-built Attributes.

• Creating Audience Using Auto-Extract
  Generate audience values automatically from distinct values from the selected attribute instead of manually defining each audience value.

• Executing Audiences
  Execute Audience logic to generate actual audience, validate outputs, and troubleshoot errors.

• Audiences Results Table
  Analyze the structure and content of Audience output tables.

Audience Sync

Sync Audiences with external platforms for activation in campaigns.

• Creating an Audience Sync App
  Configure a Sync App to connect Syntasa Audiences with downstream systems like Facebook, Google etc.

• Audience Sync
  Monitor Audience data synchronization to ensure real-time updates.

Datasets

Datasets shows the preview of attribute and audience results table. Refer this article for more details.

Operations

Learn to manage and monitor attribute, audience and sync execution jobs, troubleshoot errors, and optimize performance. This screen allows creating and scheduling audience jobs. Refer this article for more details.