journey-design

Map cross-channel customer journeys by defining journey states, entry and exit criteria, and timing windows to create an executable state machine. This approach replaces guess-based marketing planning with precise, measurable touchpoints and branching logic.

Predict conversion rates, bottlenecks, and time-to-convert by running Monte Carlo simulations on your journey states and triggers. This simulates expected outcomes and touchpoint volumes to validate stage transitions before implementation.

Model branching logic by defining how engagement signals move users between journey states. You can route personalization differently by audience segment and behavior using specific triggers and transition rules within the state machine.

To design a cross-channel marketing journey, you need your journey objective, target audience segments, available channels, and desired outcomes. These inputs generate a state-machine plan with touchpoints, branching rules, and an implementation checklist.

Generate touchpoint-ready content briefs and a platform-by-platform implementation checklist directly from your journey design. This includes specific execution steps, tracking, and monitoring requirements for each channel.