Adobe Customer Journey Analytics Features

Data flexibility

Drive efficiency in customer data analysis with tools and features that let users do advanced data handling tasks without a lengthy IT cycle. With Customer Journey Analytics, marketers can combine separate datasets, adjust views, add fields, and fix data errors on-the-fly without altering the original data — so they can derive meaningful insights.

Data Engineering Agent*

Easily scale and streamline data onboarding, SQL preparation, data collection, and troubleshooting with AI-driven automation that delivers faster, smarter, and more trusted data activation.

Data onboarding. Reduce weeks of highly manual onboarding, schema mapping, data preparation, and more to hours with automated, guided conversational workflows and intelligent recommendations.
Natural language SQL preparation. Create, test, and launch SQL jobs using conversational prompts with built-in guided error recovery, real-time tracking, and transparent resource usage.
Data collection and troubleshooting. Provide conversational guidance to the agent as it configures and manages data collection objects for faster implementation timelines, cleaner setups, and higher quality data powering downstream applications.

*Coming soon

Derived fields

Save time and resources with powerful built-in capabilities that let you transform data and adapt your analyses on the fly. Make changes, redefine metrics or dimensions, fix errors found in uploaded data, and instantly improve data accuracy — both retroactively and going forward — without harming the original data.

On-demand element modification. Create new dimensions or metrics from multiple fields and easily rename field values or fix errant data.
Rules builder. Use a customizable rule builder to apply complex data changes without rewriting and re-ingesting data.
Ad-hoc reporting adjustments. Build marketing channel reports and classify relevant metadata as needed.

Data views

Empower analysts to quickly and easily adapt their data view for specific and precise interpretations based on their needs and business questions — all while preserving the underlying dataset.

Unified customer data. Unify data from data sources in Adobe Experience Platform for seamless use in Customer Journey Analytics. Leverage data preparation capabilities to reconcile schema variations between report suites.
Adaptable analysis. Change schema element settings without changing the schema itself.

Binding dimensions

Improve the accuracy of analyses and reporting with precise attribution that ensures actions or elements — such as search terms or discount codes — are applied to the relevant conversion, even if the customer detoured to other products or channels before completing the action.

Dimension storage. Store dimension values beyond the initial hit.
Detailed analysis. Selectively attribute dimensions within arrays of objects for a detailed analysis, without affecting the entire event.

Sneaker ad with binding dimension options

Data warehouse syncing with Customer Journey Analytics to provide attributed conversion information

Adobe Experience Platform Data Mirror

Leverage new data mirroring capabilities to enable seamless data synchronization between your organization’s data warehouse and Customer Journey Analytics for access to the most up-to-date and comprehensive customer data.

Warehouse support. Sync with data warehouses such as Snowflake, Google BigQuery, and Databricks.
Data accuracy. Keep Customer Journey Analytics in sync with your data warehouse, including any updates, data insertions, or deletions.
Automation configurations. Sync data automatically to eliminate manual updates or data transformations, and reduce the risk of human error and save time.
Full journey visibility. Unify offline data with digital behavioral data for a holistic view of customer behaviors, preferences, and trends.