here you will find all information about customer journey analytics (and Adobe Analytics) related topics.
-
The Data Quality Dilemma in Adobe’s Data Collection
Navigating the multi-stage transformation pipeline: A strategic guide to managing data transformations across Adobe’s ecosystem When working with Adobe’s data collection ecosystem, you quickly realize you’re not dealing with a simple ETL (Extract, Transform, Load) process. Instead, you’re managing what I call an E-T-T-T-L-T-L-T process – Extract, Transform, Transform, Transform, Load, Transform, Load, Transform. With
-
Exploring a Self-Service Assistant for Adobe Customer Journey Analytics
I recently embarked on a fun experiment: building a self-service assistant for Adobe Customer Journey Analytics (CJA). The goal was simple but ambitious — create an assistant that could answer questions about projects, dimensions, metrics, or even general CJA concepts, without requiring technical know-how or deep familiarity with the interface. The idea came from a
-
3 ways the CJA API helps us migrate from Adobe Analytics to Customer Journey Analytics
One of the most important milestones in our digital analytics journey is the migration from Adobe Analytics (AA) to Customer Journey Analytics (CJA). This isn’t just a tech upgrade—it’s a strategic leap into a more flexible, real-time, and queryable analytics world built on top of Adobe Experience Platform. We’ve taken this opportunity not only to
-
CJA Readiness: Three key considerations before migrating to CJA
Migrating from Adobe Analytics (AA) to Customer Journey Analytics (CJA) is a complex but valuable transformation that enables businesses to leverage more advanced analytics capabilities within the Adobe Experience Platform (AEP). The pre-migration process depends on several factors, primarily focusing on data collection, the existing Adobe Analytics setup, and custom integrations. In this guide, we
-
Lessons learned from my first experience with Customer Journey Analytics (CJA)
Customer Journey Analytics (CJA) offers powerful capabilities for understanding customer experiences across multiple touchpoints. However, my initial hands-on experience revealed several challenges and insights that I wish I had known beforehand. In this post, I will share four key lessons about data ingestion, identity mapping, historical data ingestion, and handling product data within Adobe Experience
-
Why data quality matters in Adobe Analytics and how to ensure it
In the field of digital analytics, the quality of your data plays a critical role. If the data collected through Adobe Analytics is inaccurate, incomplete, or inconsistent, the insights you draw—and the decisions you make—could be fundamentally flawed. To avoid this, testing and validating your data collection process is essential. Thankfully, Adobe’s ecosystem provides a