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Features of Adobe Customer Journey Analytics

Customer Analytics

Enhance your first-party data strategy with powerful customer analytics. Adobe Customer
Journey Analytics connects, standardizes, and manages customer data to provide fast
, comprehensive analytics. It also provides cross-channel insights and rich visualizations, so you
have a unified view of all journeys.

Customer data collection and identity linking

Unify customer identity, attribute, and behavioral data across channels, devices, and time of day, online and offline, and apply them to a single profile for comprehensive customer insights.

    • Data ingestion. You can use modern open APIs to perform large-scale data streaming ingestion and compute.
    • Offline data ingestion. You can integrate data from your existing CRM or other offline enterprise data sources to run enriched dimensional analysis.
    • Graph-based connectivity. Consolidate identities from multiple channels and devices into one personal identity to modify historical data.

Customer Data Model

Run your analysis with a modern data framework that supports all customer data types in their natural state without loss of detail or structure.

    • Innovative frameworks. Leverage flexible schemas and modern data structures specifically designed for on-demand, sophisticated customer data processing.
    • Scalable structure. Using high-compression database technology, you can quickly retrieve results from billions of rows and multiple data sources without writing logic, so you can run any complex data query.

Customer attribution analysis model

Analyze the performance of your integrated marketing by examining customer engagement across campaigns, channels, and content.

    • Algorithmic attribution analysis. You can dynamically specify the optimal credit allocation for a campaign or selected metric.
    • Rule-based attribution analysis. Use an out-of-the-box model that assigns credit for engagement based on predefined rules to understand the impact of your marketing channels from multiple perspectives.
    • Engagement models. Multi-touchpoint attribution analysis helps you identify the touchpoints that your customers are most exposed to, so you can understand what is important for conversions on your site, app, and other channels.

Analysis Workspace

Use a simple drag-and-drop canvas to easily execute complex customer analytics across multiple datasets and sources. You don't have to write SQL.

    • Accessible insights. Build reusable projects tailored to unique questions and combine different data views to share powerful, data-driven insights.
    • Powerful tools. Leverage multiple tools, including free-form tables, cohorts, segmentation, attribution analysis, visualization, and contextual labeling, to query data and derive insights.
    • Designed for speed. Correlate all underlying data to optimize queries for faster results. Make decisions in real-time without having to write hundreds of static reports over weeks.

Leverage 120% of your customer analytics capabilities

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