Journey Builder AI Intermediate

Journey Builder becomes significantly more intelligent when integrated with Einstein AI. Einstein Split activities, Send Time Optimization wait steps, and engagement score-based decisions enable journeys that adapt to each subscriber's predicted behavior, creating truly personalized customer experiences.

Einstein Journey Builder Activities

ActivityFunctionUse Case
Einstein SplitRoutes subscribers based on Einstein engagement scoresSend different content to high vs. low engagement subscribers
Einstein STO WaitHolds messages until each subscriber's optimal send timeMaximize open rates by sending at personalized times
Einstein Decision SplitBranches based on predictive scores and likelihoodRoute high-conversion-probability contacts to sales
Frequency CapLimits sends based on Einstein's optimal frequency recommendationPrevent email fatigue for less-engaged subscribers

Building an AI-Powered Journey

  1. Define Entry Criteria

    Set up journey entry based on events (form submit, purchase, etc.) and optionally filter by Einstein engagement scores to ensure only relevant subscribers enter.

  2. Add Einstein STO Wait

    Before each email activity, add an Einstein STO wait step that holds the message until the optimal send time for each subscriber (within a configurable window).

  3. Use Einstein Splits

    Add Einstein Split activities to route subscribers down different paths based on their engagement likelihood. High-engagement paths can be more aggressive, while low-engagement paths focus on re-engagement.

  4. Set Frequency Caps

    Use Einstein Engagement Frequency to cap the number of messages per subscriber per period, preventing over-communication.

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STO windows: Einstein Send Time Optimization works within a window you define (e.g., 24 hours). The AI selects the best time within that window for each subscriber. Smaller windows provide more predictable delivery but may miss the optimal time.

AI Journey Optimization Strategies

  • Engagement-based branching: Send premium content and exclusive offers to highly engaged subscribers while using re-engagement tactics for low-engagement contacts
  • Predictive exit criteria: Exit subscribers from journeys when their engagement score drops below a threshold, preventing continued messaging to uninterested contacts
  • Dynamic cadence: Adjust the delay between journey steps based on engagement levels - faster cadence for engaged subscribers, slower for others
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Quick implementation: Add an Einstein STO wait step before the first email in your most important journey. This single change can improve open rates by 10-20% with minimal effort.
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