在此页面上：探索Adobe Journey Optimizer中的同事功能，以创建忠诚度挑战并分析忠诚度计划绩效。
Adobe Journey Optimizer中的忠诚度功能可帮助您创建和管理忠诚度挑战，并通过自然语言提示分析忠诚度计划的效果。 使用忠诚度挑战管理定义挑战受众、操作、时间和奖励。 使用忠诚度分析来探索忠诚度积分、成员层、赎回、收入和折扣趋势。
了解详情：
- Journey Optimizer的同事技能 — 概述Journey Optimizer中跨历程、忠诚度、内容管理和决策的同事技能。
- 同事文档 — 同事的营销活动、聊天和项目功能概述。
- 同事聊天UI指南 — 如何访问和导航同事聊天。
忠诚度技能使忠诚度管理员和分析人员能够使用自然语言创建、管理和分析忠诚度计划。 借助这些AI支持的技能，您可以快速设计引人入胜的忠诚度挑战、跟踪绩效指标并做出数据驱动型决策以优化成员参与和项目获利能力。 无论您是在提出新的挑战，还是在分析忠诚度计划趋势，忠诚度技能都可以简化整个忠诚度管理工作流。
忠诚度挑战管理 loyalty-challenge-management
忠诚度挑战管理使Journey Optimizer用户能够使用自然语言提示创建和管理同事中的忠诚度挑战。 有关创建、配置和管理忠诚度挑战的完整文档，包括详细的设置说明，请参阅忠诚度挑战指南。
主要用例
提示最佳实践
- 将其命名为：用引号为挑战提供一个清晰易记的标题。
- 指定受众：符合条件的受众（例如，所有成员、层、区段、新注册者、持卡人、订阅者）。
- 定义操作和数量：成员必须执行的操作，以及计为完成的频率、阈值或序列。
- 设置时间范围：开始日期（如果持续时间固定，则为结束日期）加上时区。
- 说明奖励：积分、英里、结算积分、状态延期、优惠券或完成时授予的津贴。
- 引用符合条件的事件：指向挑战跟踪的特定SKU、产品、帐户操作或参与事件。
超出范围技能
目前不支持以下功能：
- 挑战删除
- 在所有情况下实现挑战消息传递的完全内容创作自动化
忠诚度分析技能 loyalty-data-insight
借助“忠诚度分析技能”，Journey Optimizer用户可以使用自然语言分析和查询忠诚度计划效果数据。 此技能可提供有关忠诚度积分、成员层、赎回和收入量度的洞察，从而让忠诚度管理员和分析师能够制定关于其忠诚度计划的数据驱动型决策。
主要用例：
2026年8月期间成员在每个忠诚度级别中获得了多少忠诚点数？
向我显示2026年8月期间按成员忠诚度状态（而非忠诚度级别）兑换的忠诚度总点数。
显示2026年8月按忠诚度级别划分的忠诚度总点数余额。
2026年8月每个忠诚度级别应用的忠诚度折扣是多少？
显示2026年8月按忠诚度计划细分的总忠诚度折扣。
每个忠诚度计划在2026年8月产生的总订单收入是多少？
显示2026年8月按产品类别划分的总忠诚度折扣。
显示2026年第三季度的忠诚度计划绩效报表。
挑战“推荐”技能 loyalty-challenge-recommendations
“同事推荐”功能使营销人员能够通过CX Coworker中的自然语言对话来请求基于背景的特定挑战推荐。 推荐使用忠诚度计划趋势和绩效数据，并可专注于增加成员支出、赢回非活动成员、改善表现不佳的挑战、专注于产品或类别，或解决点过期问题。
营销人员可以将推荐缩小到他们关心的目标，并将推荐传递给“忠诚度挑战管理”技能，以创建或编辑实时挑战，而无需离开对话。
主要用例
-
以自然语言请求推荐
在同事对话中要求提供挑战建议，并根据忠诚度计划趋势和绩效数据获得有根据的具体想法。
-
将推荐集中于目标
缩小针对特定目标的建议，如增加成员开支、赢回非活动成员、改善性能不佳的挑战、专注于产品或类别，或解决点失效问题。
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查看机会及其理由
打开 机会 选项卡，然后选择 查看详细信息 以查看推荐、建议的质询和理由。
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将推荐作为实时挑战实施
选择 使用AI创建 以将推荐传递给忠诚度挑战管理技能。 继续对话以提供缺少的详细信息并创建或编辑挑战，而无需离开同事聊天。
创建或编辑挑战后，查看挑战详细信息并在发布之前进行挑战创作。
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.