Adobe Customer Journey Analytics Features
Agentic and AI-driven insights
Use agentic, generative, and predictive AI 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.
Data Insights Agent
Automate analysis and visualization of cross-channel customer data with Data Insights Agent to reveal rich insights and take pre-approved actions such as diagnosing underlying drivers and recommending optimizations.
- Data analysis. Track campaign performance, analyze customer behavior, and spot emerging trends using simple language prompts rather than complex dashboards and queries needed.
- Rapid insights. Skip the analyst queue and use everyday language to ask questions, questions such as “What are my top 10 pages?” or “Which products have the highest revenue?"
- Trusted insights. Build confidence in every decision with fully transparent, traceable insights and the ability for analysts to further verify, refine, and collaborate.
Proactive insights (in development)
Discover trusted, high-value insights with Data Insights Agent that proactively surfaces meaningful patterns and opportunities business users might not think to explore.
- From reactive to proactive. Explore new insights and opportunities powered by continuous cross‑channel analysis that surfaces high‑confidence insights.
- Analyst approved. Build trust with proactively generated insights that include built‑in controls that let analysts validate, curate, and enrich insights before they reach business users.
Root cause analysis
Turn every metric into an AI‑powered investigation with Data Insights Agent, that lets you move from “What happened?” to “Why did it happen?” in minutes — no analyst queue needed.
- Top drivers. Instantly surface the top drivers behind any change, complete with confidence scores.
- Confidence. Get scores for correlative strength, statistical significance, and impact quantification across every insight to drive trust.
- Hypothesis validation. Use a conversational interface to ask questions and drill deeper into the underlying causes of each driver.
Data storytelling
Transform the Analysis Workspace into presentation-ready slides with a single click. Data Insights Agent analyzes your panels, visualizations, and metrics to uncover the story hidden in your data — surfacing trends, anomalies, and correlations you might have missed.
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 more about agentic and AI-driven insights.
Learn how to use agentic and AI-driven insights.
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