Adobe Customer Journey Analytics Features
AI-driven insights
Use generative AI and machine learning services to expedite and augment everyday analytics tasks like segmentation, attribution, data processing, queries, and data storytelling. With more efficient and enhanced insights, you’ll spend less time combing through data and more time improving your business.
AI Assistant
Use natural language prompts to query data to answer ad-hoc questions.
- Rapid insights. Ask questions like “What are my top 10 pages?” or “Which products have the highest revenue?" to get instant insights.
- Personalized visualizations. Uncover insights with auto-generated personalized visualizations and data in tabular form for further analysis.
- Easy fine-tuning. Ask an unlimited number of iterative questions to fine-tune your analysis.
Algorithmic attribution
Compare activity across devices, channels, and content to understand the drivers responsible for specific conversion events — across any time period and metric.
- Machine learning analysis. Use machine learning to assign attribution values across various contributing factors and channels of successful conversion events.
- Weighted attribution. Automatically assign appropriate attribution weight to the most important touches and provide a best-fit model per channel based on your customers' actual interaction patterns.
Anomaly detection
Automatically find statistically significant differences across your data and get in-app anomaly alerts, saving you the time it takes to manually run and search through hundreds of reports.
- Data relationships. Separate “true signals” from “noise” using statistical methods that analyze relationships in cross-channel customer data.
- Anomaly alerts. Investigate anomalies, including drastic drops in average order value or page views, spikes in orders with low revenue, and many more.
- Contributing factors. Identify potential factors that contribute to anomalies and make appropriate optimizations.
Intelligent captions
Generative AI automatically produces insights and provides user-friendly captions about key trends and important events found in data.
- Generated insights. Jumpstart your analysis journey with auto-generated insights that are automatically updated as data changes.
- Easy highlights. Help non-analysts easily identify and understand insights worth highlighting.
- Contextual reporting. Enable non-technical users to be self-sufficient by automatically providing context when sharing insights to free up analysts’ time.
Experimentation panel
Evaluate the impact and validity of experiments, across channels, from any online and offline source with enhanced analysis supported by machine learning.
- Machine learning-powered refinement. As more activity occurs and more data is accumulated, machine learning automatically refines the data to provide a more precise result and higher confidence in cause-and-effect relationships.
- Cause and effect clarity. Understand the cause-and-effect relationships between customer interactions and how they drive specific outcomes through the native integration with Adobe Journey Optimizer.
Learn how to use AI-driven insight features.
Find what you need in Experience League, our vast collection of how-to content including documentation, tutorials, and user guides.
