On this page: Explore Coworker capabilities in Adobe Journey Optimizer for creating loyalty challenges and analyzing loyalty program performance.
Loyalty capabilities in Adobe Journey Optimizer help you create and manage loyalty challenges and analyze loyalty program performance through natural-language prompts. Use Loyalty Challenge Management to define challenge audiences, actions, timing, and rewards. Use Loyalty Insights to explore loyalty points, member tiers, redemptions, revenue, and discount trends.
Learn more:
- Coworker skills for Journey Optimizer — overview of Coworker skills across Journeys, Loyalty, Content Management, and Decisioning in Journey Optimizer.
- Coworker documentation — overview of Coworker’s Campaigns, Chat, and Projects capabilities.
- Coworker Chat UI guide — how to access and navigate Coworker Chat.
Loyalty skills empower loyalty administrators and analysts to create, manage, and analyze loyalty programs using natural language. With these AI-powered skills, you can quickly design engaging loyalty challenges, track performance metrics, and make data-driven decisions to optimize member engagement and program profitability. Whether you’re building a new challenge or analyzing loyalty program trends, Loyalty skills streamline the entire loyalty management workflow.
Loyalty Challenge Management loyalty-challenge-management
Loyalty Challenge Management enables Journey Optimizer users to create and manage loyalty challenges in Coworker using natural language prompts. For comprehensive documentation on creating, configuring, and managing loyalty challenges, including detailed setup instructions, refer to the Loyalty Challenges guide.
Key use cases
Prompting best practices
- Name it: Give the challenge a clear, memorable title in quotes.
- Specify the audience: Who qualifies (e.g., all members, a tier, a segment, new enrollees, cardholders, subscribers).
- Define the action and how much: What members must do, and the frequency, threshold, or sequence that counts as completion.
- Set the time window: A start date (and end date if fixed-duration) plus the timezone.
- State the reward: Points, miles, statement credits, status extensions, vouchers, or perks granted on completion.
- Reference the qualifying event: Point to the specific SKU, product, account action, or engagement event the challenge tracks.
Out of scope skills
The following functionalities are currently not supported:
- Challenge deletion
- Full content authoring automation for challenge messaging in all cases
Loyalty Insights Skill loyalty-data-insight
Loyalty Insights Skill enables Journey Optimizer users to analyze and query loyalty program performance data using natural language. This skill provides insights into loyalty points, member tiers, redemptions, and revenue metrics, allowing loyalty administrators and analysts to make data-driven decisions about their loyalty programs.
Key use cases:
How many loyalty points were gained by members in each loyalty tier during August 2026?
Show me the total loyalty points redeemed by member loyalty status—not loyalty tier—during August 2026.
Show the total loyalty points balance broken down by loyalty tier during August 2026.
How much in loyalty discounts was applied to each loyalty tier during August 2026?
Show the total loyalty discounts broken down by loyalty program during August 2026.
What was the total order revenue generated by each loyalty program during August 2026?
Show the total loyalty discounts broken down by product category during August 2026.
Show me the loyalty program performance report for Q3 2026.
Challenge Recommendations Skill loyalty-challenge-recommendations
The Coworker Recommendation feature enables marketers to request grounded, specific challenge recommendations through natural language conversations in CX Coworker. Recommendations use loyalty program trends and performance data and can focus on increasing member spend, winning back inactive members, improving underperforming challenges, focusing on products or categories, or addressing points expiry.
Marketers can narrow recommendations to the goals they care about and pass a recommendation to the Loyalty Challenge Management skill to create or edit a live challenge without leaving the conversation.
Key use cases
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Request recommendations in natural language
Ask for challenge recommendations in a Coworker conversation and receive grounded, specific ideas based on loyalty program trends and performance data.
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Focus recommendations on a goal
Narrow recommendations to a specific goal, such as increasing member spend, winning back inactive members, improving underperforming challenges, focusing on products or categories, or addressing points expiry.
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Review an opportunity and its rationale
Open the Opportunities tab and select View details to review the recommendation, proposed challenge, and rationale.
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Implement a recommendation as a live challenge
Select Create with AI to pass the recommendation to the Loyalty Challenge Management skill. Continue the conversation to provide missing details and create or edit the challenge without leaving Coworker Chat.
After the challenge is created or edited, review the challenge details and journey in challenge authoring before publishing.
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 documents CX Coworker skills for Loyalty Challenges in Adobe Journey Optimizer — Loyalty Challenge Management, Loyalty Insights Skill, and Challenge Recommendations — including their use cases, scope, and challenge-creation workflow.
Intents
- Create and manage loyalty challenges using natural language prompts with Loyalty Challenge Management.
- Query and analyze loyalty program performance data — points, tiers, redemptions, and revenue — using natural language with Loyalty Insights Skill.
- Use Challenge Recommendations to review opportunity details and create a challenge draft with AI.
- Review and complete challenge details in challenge authoring before publishing.
- Learn which capabilities Loyalty Challenge Management does not support, such as challenge deletion and full content authoring automation for challenge messaging in all cases.
- Learn how to structure a prompt to create a loyalty challenge (audience, action, timing, reward).
Glossary
- Loyalty Challenge Management (product-specific): CX Coworker skill that creates and manages loyalty challenges through natural language prompts.
- Loyalty Insights Skill (product-specific): CX Coworker skill that analyzes and queries loyalty program performance data — points, tiers, redemptions, and revenue metrics — using natural language.
- Challenge Recommendations (product-specific): Coworker feature that enables marketers to request grounded, specific challenge recommendations through natural language conversations, narrow them to their goals, and implement them as live challenges.
Guardrails
- Loyalty skills are available in Coworker for eligible organizations. Customers with a Loyalty license can access these loyalty skills, even if they do not have an additional Coworker license.
- Loyalty Challenge Management does not support challenge deletion or full content authoring automation for challenge messaging in all cases.
- Challenge Recommendations uses loyalty program trends and performance data. It can pass a recommendation to Loyalty Challenge Management, which creates or edits the live challenge.
Terminology
- Do not confuse: “Loyalty Challenge Management” (creates and edits challenges), “Loyalty Insights Skill” (analyzes and queries loyalty program performance data), and “Challenge Recommendations” (surfaces precomputed loyalty recommendations) are distinct capabilities on this page.
FAQ
- Do I need a separate Coworker license to use Loyalty skills? No, customers with a Loyalty license can access Loyalty skills even without an additional Coworker license.
- Can Loyalty Challenge Management delete a challenge? No, challenge deletion is not supported.
- What kind of data can Loyalty Insights Skill query? Loyalty points granted, earned, and redeemed; order revenue and loyalty discount trends; and program performance metrics by tier, program, product category, or time period.
- What does Challenge Recommendations provide? It provides grounded, specific challenge recommendations based on loyalty program trends and performance data, including recommendations for increasing member spend, winning back inactive members, improving underperforming challenges, focusing on products or categories, and addressing points expiry.
- What happens after I select Create with AI? The Loyalty Challenge Management skill uses the recommendation as context, asks for missing challenge information when needed, and creates or edits the live challenge within the Coworker conversation.
- What should I include when asking Loyalty Challenge Management to create a challenge? A clear title, the qualifying audience, the required action and how much/how often, the time window and timezone, the reward, and the qualifying event.