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.
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.
![https://main--bacom--adobecom.hlx.page/fragments/products/modal/videos/analytics/customer-journey-analytics/derived-fields#derived-fields | User interface of query parameters and marketing channel event results | :play-medium:](./media_131dbaacb5a435172d9f93da2880068ca9289e95f.png?width=750&format=png&optimize=medium)
![https://main--bacom--adobecom.hlx.page/fragments/products/modal/videos/analytics/customer-journey-analytics/data-views#data-views | User interface of freeform tables and call center metrics | :play-medium:](./media_1947d0ecfea604933511772a3f30191ff09ecea10.png?width=750&format=png&optimize=medium)
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](./media_1a8b9f9f77b8958c9b6eed19731842aad90350dd8.png?width=750&format=png&optimize=medium)
More about data flexibility.
Content as a Service v3 - data-flexibility - Tuesday, October 22, 2024 at 16:02
Learn how to use data flexibility features.
Find what you need in Experience League, our vast collection of how-to content — including documentation, tutorials, and user guides.