Customer Journey Analytics Greater Insights for existing Adobe stakeholders
March 27, 2025

Customer Journey Analytics Greater Insights for existing Adobe stakeholders

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Adobe Customer Journey Analytics

Customer Journey Analytics (CJA) is used within my organization to provide a window into our web behavioral data, our email marketing data, as well as offline data derived from a enterprise data warehouse connector. It is presented as a tool to provide insights from an "omni-channel marketing" perspective, as well as a tool to determine the relative lift from our series of customer journeys.

Pros

  • Web Behavioral data analysis
  • Email marketing performance
  • Offline data analysis (BI)
  • Stitching of multiple datasets based on unified ID
  • Ability to calculate / derive new fields from existing fields

Cons

  • Requires innate understanding of Adobe Experience Platform
  • Requires significant investment from leadership, marketing, data teams
  • Requires understanding of complexity of underlying systems
  • Needs Adobe WebSDK installed on website for best results
  • ROI dictated by the number of individuals dedicated to maintaining the AEP instance for the business
  • Marketing team should be operating at a high level of technical understanding to derive the most benefit
  • Clear understanding of business KPIs and a willingness to judge strictly against these standards is a requirement
Adobe Customer Journey Analytics is only as fast as the data that enters into it. If a business has Edge capabilities based on their use of Adobe's WebSDK, then all insights from the web data are in realtime. The moment this is stitched with batch data, such as the case in CRM data, then performance is slowed to the most latent performer. New methods of streaming in data from S3 or from more advaned data warehouses, such as Snowflake, are required in order to reduce latency.
Users of Adobe Analytics will be pleased to note Adobe Customer Journey Analytics's ability to perform non-destructive changes to data variables (so long, processing rules). Users familiar with Adobe Analytics will immediate adopt Adobe Customer Journey Analytics without a large amount of onboarding or training. That said, users without prior exposure to Adobe products will face a steep learning curve if they are migrating from another BI tool.
Adobe Customer Journey Analytics is poised to become the future of Adobe Analytics - it is more powerful, allows for greater customization and immediate feedback. Its ability to stitch on row or fields is far greater than Analytics, and ability to interpret events in a serialized fashion unlocks more insights than what was previously capable in this tool.
Adobe Customer Journey Analytics is easier to understand and requires less coding knowledge than Tableau, but users must adopt most Adobe offerings to realize any benefit whereas Tableau is more system-agnostic.

Do you think Adobe Customer Journey Analytics delivers good value for the price?

Yes

Are you happy with Adobe Customer Journey Analytics's feature set?

Yes

Did Adobe Customer Journey Analytics live up to sales and marketing promises?

No

Did implementation of Adobe Customer Journey Analytics go as expected?

Yes

Would you buy Adobe Customer Journey Analytics again?

Yes

If a customer is mature in their marketing technology stack and already has a firm understanding or pre-existing relationship with Adobe, Adobe Customer Journey Analytics is a good addon. If a business finds the historical Adobe Analytics architecture limiting or has a series of complex use cases, Adobe Customer Journey Analytics offers far higher flexibility in ability to code on the front end for a website.
Customers should Adobe Journey Optimizer as part of their stack to derive the greatest benefit from Adobe Customer Journey Analytics. Web behavioral analysis enhancements are nice but Adobe Journey Optimizer is needed to realize the full benefit of this tool.

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