adobe analytics customer 360

What is Adobe product analytics?
Adobe Product Analytics enables product teams to self-serve data and insights about their product experience through guided analysis workflows, built on the same cross-channel data of Customer Journey Analytics. Discover meaningful segments of users to engage and nurture throughout their lifelong journey with the product
What is Adobe Sensei Genai for customer journey analytics?
Data analysts: Run unlimited cross-channel data breakdowns for deep ad hoc analysis to help drive improved customer experiences. More power with generative AI. Adobe Sensei GenAI for Customer Journey Analytics makes smarter, faster work easier. Here’s what it will do for you:
Why do marketers need a 360o view?
Marketers and analysts are empowered to find insights for critical business questions quickly. Now, they can segment customers and optimize marketing tactics, with all the available data attributes in a single location to drive optimal results. Consolidating all the data sources would provide a clear 360º view.
How are data views used in Adobe Analytics?
These datasets are stitched together by timestamp + a common person ID that we determine for each dataset. These datasets are combined in CJA Connections, and the Connections are exposed via Data Views. These data views are then explored using Analysis Workspace (like traditional Adobe Analytics).

Step 1: Data Ingestion

You can ingest data into AEP using multiple methods — Batch Ingestion & Streaming Ingestion. Let’s look at how to ingest each of these data sources Website data: If Adobe Analytics is implemented already, you can use Adobe Analytics source connector to ingest data into AEP datasets through batch ingestion. If you are using AEP Web SDK, you can send

Step 2: Create A Connection in CJA

Go to CJA > Connections > Create a new Connection > Add Datasets All the datasets created in Step 1 are selected as shown in the below screenshot: While creating the connection, the important field is the Person ID, which needs to be selected for each of these datasets. As mentioned at the start of the article, the way we are combining the datasets

Step 4: Visualization & Analysis in CJA

We can create various types of workspace projects with visualizations in CJA just like traditional Adobe Analytics. · Dashboard to establish a comparison between Online and POS revenue · Visualize cross-channel journeys: You can visualize any brand touchpoint in the exact order it occurs. For example, study the journey of customers who called a cal

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