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Adobe Customer Journey Analytics features

Data Flexibility

No more relying on IT. Powerful tools and features for advanced data processing tasks
can help you analyze customer data more efficiently. With Adobe Customer Journey Analytics, you can
quickly gain valuable insights by combining separate datasets, adjusting how you view them, adding fields, and correcting data errors
on the fly without changing the original data.

Derivative Fields

Save time and resources with built-in features that allow you to instantly transform data and adjust your analysis. You can apply changes, override metrics or dimensions, correct errors found in uploaded data, and improve the accuracy of your data without compromising the original data.

    • On-demand modifications. You can create new dimensions or metrics in multiple fields, easily rename field values, and correct data errors.
    • Rule builder. You can use a custom rule builder to make complex data changes without having to rewrite or collect data.
    • Ad hoc reporting adjustments. You can generate marketing channel reports and categorize relevant metadata as needed.

Data View

Analysts can easily and quickly adjust data views for specific and accurate interpretations based on requirements and business questions while maintaining the underlying data set.

    • Unified customer data. You can integrate data from data sources in Adobe Experience Platform for seamless use in Adobe Customer Journey Analytics. You can take advantage of the data preparation feature to adjust for schema differences between report suites.
    • Adaptive analysis. You can change the settings of schema elements while keeping the schema intact.

Binding Dimensions

If a customer diverts to another product or channel, improve the accuracy of your analysis and reporting with powerful attribution analytics that ensures search queries, discount codes, and more are applied to conversions.

    • Save dimensions. You can save dimension values even after you have achieved your initial goal.
    • Detailed analysis. You can run detailed analysis by selectively analyzing the attribution of dimensions within an array of objects without affecting the entire event.

Adobe Experience Platform Data Mirror

Take advantage of the new data mirroring feature to seamlessly synchronize data between your organization's data warehouse and Customer Journey Analytics. You'll always have access to the most up-to-date and comprehensive customer data.

    • Warehouse support. You can sync with data warehouses such as Snowflake, Google BigQuery, and Databricks.
    • Data accuracy. You can keep all updates, data inserts, and deletions in your data warehouse in sync with Customer Journey Analytics.
    • Configure automation. Automatically synchronize data to eliminate manual updates or data variations, reducing the risk of human error and saving time.
    • Understand the entire journey. Integrate offline and digital behavioral data to gain a comprehensive view of customer behavior, preferences, and trends.

Leverage 120% of data flexibility capabilities

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