Adobe Customer Journey Analytics Features
Customer-level analysis
Power your first-party data strategy with customer-level analysis. Customer Journey Analytics connects, standardises and governs your customer data for fast, holistic analysis. It also gives you cross-channel insights and powerful visualisations, so you get an end-to-end view of every journey.
Customer data collection and identity stitching
Unify customer IDs, traits and behavioural data across channels, devices and time — online and off-line — and assign it all to a single profile for comprehensive customer insights.
- Data collection. Use open and modern APIs for large-scale data streaming ingestion and computing.
- Off-line data ingestion. Integrate data from your existing CRM or any other off-line enterprise data source, for enriched dimensional analysis.
- Graph-based stitching. Combine IDs from multiple channels and devices into a single person ID, with the ability to restate historical data.
Customer data model
Run analyses with our modern data framework engineered to support all customer data types in their natural state and without loss of detail or structure.
- Modernised framework. Leverage flexible schemas and modern data structures, purpose-built for sophisticated on-demand customer data handling.
- Scalable structure. Use highly compressible database technology to power complex data queries that can quickly retrieve results from billions of rows and multiple data sources — without writing logic.
Customer attribution models
Analyse integrated marketing performance by examining customer engagement across any combination of campaigns, channels and content.
- Algorithmic attribution. Dynamically determine the optimal allocation of credit for a campaign or even a selected metric.
- Rules-based attribution. Use out-of-the-box models that assign credit for engagement based on pre-determined rules to give you multiple viewpoints into marketing channel impact.
- Participation models. Take advantage of multi-touch attribution to understand which touchpoints customers are exposed to the most, letting you identify which part of your site, app or other channels are critical to conversion.
Analysis workspace
Give teams a simple-to-use, drag-and-drop canvas to perform complex customer-level analyses across multiple datasets and sources without the need to write SQL.
- Accessible insights. Build reusable projects customised to your unique questions while blending different views of data to tell a powerful data-driven story.
- Robust toolset. Leverage multiple tools to query and draw insights from your data, including freeform tables, cohorts, segmentation, attribution, visualisations and context labelling.
- Speed-focused design. Optimise your queries to return results quickly — with all the underlying data fully correlated — so you can make decisions in the moment, not after weeks or hundreds of static reports.
More about customer-level analysis.
Content as a Service v3 - individual feature - Tuesday, 22 October 2024 at 16.06
Learn how to use customer-level analysis features.
Find what you need in Experience League, our vast collection of how-to content — including documentation, tutorials and user guides.
