Ai Powered Enhanced Insights Adobe Customer Journey Analytics Transform your growing amount of customer experience data into enhanced intelligence using generative ai and machine learning (ml) for segmentation, attribution, propensity modeling, and queries. use algorithmic attribution to compare marketing channels to determine those responsible for specific conversions. Adobe customer journey analytics 功能 由人工智能驱动的洞察 使用代理式 ai、生成式 ai 和机器学习服务来加速和增强日常分析任务，如分段、归因、数据处理、查询和数据故事讲述。借助更高效的强化洞察，您可以花费更少的时间梳理数据，将更多时间用于.
Customer Journey Analytics Transform Your Data Adobe Experience Adobe unveiled powerful capabilities that deliver actionable and comprehensive data insights through purpose built ai agents that power a unified customer experience, with tools to orchestrate engaging experiences across different channels. these innovations are powered by adobe’s ai platform, which unites ai agents and models across adobe. Guided analysis enables users to self serve high quality data and insights about the customer journey through guided workflows, built on the cross channel data of customer journey analytics. cross functional teams, from marketing to product, can connect in real time to use and understand these reports. Customer journey analytics surfaces insights when needed to empower all user types — both technical and non technical — to augment user workflows to uncover insights, assist users to confidently engage with data, and upskill faster. ai and machine learning have been a key pillar of our analytics strategy for years allowing you to:. Connect customer identity and interactions across channels, devices, and time to map a complete view of the customer journey that reveals insights previously out of reach. a powerful interactive interface lets you explore journeys through rich, adaptable visualizations, ai supported workflows, and real time self serve reporting capabilities.
Customer Journey Analytics Transform Your Data Adobe Experience Customer journey analytics surfaces insights when needed to empower all user types — both technical and non technical — to augment user workflows to uncover insights, assist users to confidently engage with data, and upskill faster. ai and machine learning have been a key pillar of our analytics strategy for years allowing you to:. Connect customer identity and interactions across channels, devices, and time to map a complete view of the customer journey that reveals insights previously out of reach. a powerful interactive interface lets you explore journeys through rich, adaptable visualizations, ai supported workflows, and real time self serve reporting capabilities. The ai assistant in customer journey analytics is trained on its adobe experience league documentation. when asked a question, ai assistant responds with a helpful answer that enables quick learning. as a novice user, you can use ai assistant to learn customer journey analytics concepts and onboard yourself to products and features that you are. We are now making anomaly detection available in customer journey analytics. for the first time, users can get a better sense of the “hand off” that happens between channels such as customer support and the mobile app. it is purpose built ai that helps them identify pain points, or areas they can further refine the experience. Customer ai can integrate with customer journey analytics to the extent that customer ai enabled datasets can be leveraged in data views and reporting in customer journey analytics. you can: track propensity scores for a segment of users over time. use case: understand the likelihood of customers in a specific segment to convert.