architect-canvas-components

The best way to structure Braze Canvas journeys for high-volume sends is using Delay steps, personalized delays, and rate-limiting patterns to manage cadence and quiet hours. This ensures predictable, auditable user journeys while balancing throughput constraints.

Choose between Decision Splits and Audience Paths based on routing reliability and reducing ambiguous branching logic. Audience Paths are ideal for qualifying high-value users, while Action Paths handle event-based routing to ensure predictable, testable user journeys.

Yes, you can integrate AI agents into Braze Canvas by using Agent steps to score and personalize content per user. This architecture includes explicit fallback routing for agent errors and can combine with Content Optimizer for dynamic decisioning.

Configure Braze Experiment Paths with Winning Path enabled by sequencing experiment components within your Canvas flow. This setup allows you to optimize conversion rates by automatically directing users to the best-performing journey variant over time.

Use fallback routing in Braze Canvas AI agent steps to handle agent errors and maintain journey continuity. It is required when building AI-augmented routing patterns to ensure predictable user experiences even when dynamic scoring or personalization fails.

Yes, Braze Canvas supports context variables for multi-channel campaign sync. You can set context variables within Audience Paths to manage personalization data and ensure consistent messaging across all components in your user journey architecture.