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Adobe Customer Journey Analytics features

AI-powered insights

Use agent AI, generative AI, and machine learning services to segment, analyze attribution,
Expedite routine analytics tasks such as data processing, querying, and data storytelling
. With efficient, enhanced AI-powered insights
, you can spend less time sifting through data and focus on improving your business.

Data Insights Agent

Use Data Insights Agent to automatically analyze and visualize cross-channel customer data. With rich insights, you can quickly take pre-approved actions, such as diagnosing root causes and delivering the right optimizations.

    • Data analysis. In Analysis Workspace, you can use natural language prompts instead of technical tools to quickly build and evolve your projects.
    • Quick insights. With simple questions like "What are the top 10 pages?" or "What are the best-selling products?", you can get the information you want right away.
    • Responsible AI use. Visualize your data with AI-powered insights to understand and see results.

Algorithmic Attribution Analysis

Compare activity across devices, channels, and content to understand the drivers of specific conversion events across all time periods and metrics.

    • Machine learning analytics. You can use machine learning to assign attribution values to different attributors and channels for successful conversion events.
    • Weighted attribution analysis. Automatically assign the appropriate attribution weights to the most important touchpoints and provide the best model for each channel based on the customer's actual interaction patterns.

Outlier detection

Automatically find statistically significant differences in your data, and reduce the time spent manually running and searching through hundreds of reports with in-app outlier alerts.

    • Data relationships. Statistical methods to analyze the correlation of cross-channel customer data can be used to distinguish between "true signals" and "noise."
    • Outlier alerts. You can investigate several outliers, such as a sharp drop in average order price or page views, or a spike in low-revenue orders.
    • Contributing factors. Identify and optimize potential outlier drivers.

Intelligent captions

Generative AI automatically generates insights and provides captions to help you easily understand key trends and important events found in your data.

    • Automatic insight generation. When data changes, insights are automatically updated.
    • Easy-to-understand highlights. Even if you're not an analyst, you can easily get and understand important insights.
    • Context-based reporting. When you share insights, context is automatically provided so that even non-technical users can troubleshoot issues on their own. This saves analysts time and allows them to focus on more important things.

Experimental panel

Evaluate the impact and effectiveness of your experiments across channels based on all online and offline sources with machine learning-enabled analytics.

    • Machine learning-based coordination. As more activity occurs and more data accumulates, machine learning automatically adjusts the data. This provides more accurate results and gives confidence in the causal relationship.
    • Clarity of causal relationships. With native integration with Adobe Journey Optimizer, it's easy to understand the cause-and-effect relationships between customer interactions and how they lead to specific outcomes.

Product Support Agent

Diagnose, resolve, and report product issues quickly and easily with Adobe's agent AI, Product Support Agent. It supports self-service with interactive guidance, so you can resolve issues faster and be more productive.

    • Problem-solving. Use natural language prompts to instantly get answers to frequently asked questions based on expert-curated documents.
    • Support case management (in development). You can open a support case with the AI assistant. The AI assistant then automatically gathers contextual insights, such as chat logs, IDs, and issue descriptions, to resolve them quickly.
    • Support case tracking (in development). You can track the status of your support case seamlessly.

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