On this page: Explore a library of practical Adobe Journey Optimizer use cases and end-to-end scenarios to help you design journeys, model data, and build activation logic.
This section brings together a collection of practical use cases to help you get the most out of Adobe Journey Optimizer. Whether you are looking for tactical patterns—like suppression logic, personalization techniques, or journey exit strategies—or complete end-to-end scenarios covering marketing and technical workflows, you will find links to relevant samples below.
Use this library as a reference point when designing journeys, modeling data, or building activation logic. Each example includes recommendations you can tailor to your specific needs.
Work with experience events
Learn common patterns and scalable approaches to help you make the most of Experience Events in Adobe Journey Optimizer. These use cases are designed to help you solve frequent challenges such as managing opt-outs, controlling message frequency, personalizing content based on user behavior, and reacting to real-time signals.
Query journey datasets
To build your use cases, you need to query the Adobe Journey Optimizer datasets, such as system datasets for ingesting tracking experience events, the dataset for ingesting step events in a journey, the dataset for ingesting offer propositions to the users, and more.
See also several commonly used examples to query Journey Step Events.
Business use cases
Technical use cases
Video tutorials
Browse video tutorials to learn key steps to build most common use cases with Adobe Journey Optimizer.
Customer onboarding
Learn how to implement a customer onboarding journey in Journey Optimizer.
Abandoned cart
Learn how to implement the abandoned shopping cart use case, using the Playbook feature in Adobe Journey Optimizer.
Re-engagement
Learn how Adobe adapted the Intelligent Re-engagement use case to work with the Luma demo site, building on the foundation implementation documented in the Data Architect and Data Engineer tutorial and the Experience Platform Web SDK tutorial.
Real-time offer personalization
Using weather-related data in Adobe Journey Optimizer to serve offers allows businesses to personalize customer experiences based on real-world, real-time environmental conditions.
Track and report offers delivered via decisioning
Enable reporting and performance analysis for offers delivered through Adobe Journey Optimizer: when offers are personalized and delivered based on contextual signals, it's essential to track both impressions and user interactions to evaluate their effectiveness.
Personalize offers with ranking formulas
Learn how to deliver personalized financial offers by leveraging user attributes like ZIP code and annual income within Adobe Journey Optimizer. By using ranking formulas, offers are intelligently scored and prioritized based on location-specific promotions and income-based eligibility.
See also the video tutorial for Scaling orchestration to omnichannel engagement in Adobe Journey Optimizer: Over the course of six lessons, you learn how to elevate business communications from simple outbound messaging to sophisticated omnichannel experiences. Through practical examples, you gain insights into creating customer journeys that seamlessly blend proactive outreach with responsive engagement.
Blog posts
Browse the following blog posts to find more guidance and best practices when building your journeys:
Use Case: How to Send Emails Only on Weekdays in Adobe Journey Optimizer - Also available as a community blog post
Use Case: Advanced Approval Strategies
Use Case: Daily Frequency Capping
Use Case: Fast External Audience Activation with Custom Upload
Use Case: Personalization beyond the Profile
Take Flight with Personalization: How Airlines Can Elevate Offers with Adobe Journey Optimizer
This section contains structured knowledge intended to support interpretation, retrieval, and question answering related to this topic.
For complete understanding, this information should be combined with the documentation on this page. Neither source is intended to stand alone; the page describes the feature, while this section provides additional context that helps disambiguate terminology, intent, applicability, and constraints.
- TL;DR: This page is a curated library of practical journey use cases — covering experience events, dataset queries, business scenarios, technical patterns, video tutorials, and community blog posts — to help practitioners get the most out of Adobe Journey Optimizer.
Intents:
- Find practical use case examples covering business scenarios such as multi-channel messaging, subscriber campaigns, and weekday-only email delivery
- Locate technical use case patterns for custom actions, throughput limiting, and removing profiles from a live journey
- Access video tutorials for common journey patterns including customer onboarding, cart abandonment, and re-engagement
- Query Adobe Journey Optimizer datasets (step events, tracking events, offer propositions) to build custom analytics and reporting
- Use Experience Event lookup patterns to manage opt-outs, frequency, and real-time personalization
Glossary:
- Experience Event: A time-stamped record of a customer interaction (e.g., purchase, click, page view) stored in Adobe Experience Platform and used to trigger or personalise journeys (product-specific)
- Step event: An automatically generated dataset record that captures every step a profile takes in a journey, used for custom reporting and debugging (product-specific)
- Custom action: A journey activity that calls an external API to send data to or receive data from a third-party system (product-specific)
Guardrails:
- Each use case example includes recommendations that should be tailored to specific needs; they are starting points, not prescriptive configurations
- Dataset queries require access to Adobe Experience Platform Query Service
- Video tutorials reference external learning resources on Experience League
Terminology:
- Canonical name: Use cases — Acronym: none — variants: journey use cases, practical examples, recipes
- Synonyms: “business use case” = “marketing use case”; “technical use case” = “developer use case”
FAQ:
- Q: Where do I start if I am new to journey entry and exit criteria? — Begin with the comprehensive guide to journey entry and exit criteria, which includes real-world use cases, best practices, and step-by-step configuration guidance.
- Q: How do I query journey step events for custom reporting? — Use the Adobe Experience Platform Query Service to query the journey step events dataset; example queries are available in the linked datasets query examples page.
- Q: Where can I find a use case for sending emails only on weekdays? — See the weekday email use case page, also available as a community blog post.
- Q: How can I remove profiles from a live journey? — Use the profile attribute exit criteria feature on a paused journey, as described in the technical use case for removing profiles from a live journey.