AEP review.
February 26, 2025

AEP review.

Michał Guzdek | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Adobe Real-Time Customer Data Platform

Create audiences and then activate them through digital marketing.

Pros

  • Audience segmentation.
  • Web and mobile tagging.
  • Profile orchestration.

Cons

  • Automations inside platform - data transformation.
  • Using code to create audiences is available only now through API.
  • Widgets on profile - save templates - its useful for consulting demos.
  • Better understanding customer behaviour in online channels.
  • One place for customer activation.
Except for the price, it is easy to use and has a nice design.
Activation - great Segmentation - in UI, there should be the possibility of writing advanced code Tags. Both Mobile and Desktop Data Ingestion - might be pain in the ass. Changing one customer attribute is time-consuming. It should be some super admin or some feature. One user can change some customers' attributes easily. Data Transformation - Maybe there are some modules for that in AJO?
Synerise - All segments are real-time. We do not need to wait for the batch process. Data automations/transformation processes in SAS 360 - do not know well. However, AEP has better UI.

Do you think Adobe Real-Time Customer Data Platform delivers good value for the price?

Not sure

Are you happy with Adobe Real-Time Customer Data Platform's feature set?

No

Did Adobe Real-Time Customer Data Platform live up to sales and marketing promises?

No

Did implementation of Adobe Real-Time Customer Data Platform go as expected?

Yes

Would you buy Adobe Real-Time Customer Data Platform again?

Yes

It's a great tool. It lacks automations inside the platform for data transformation and data manipulation (I know about Data Distiller). Unfortunately, it's the most expensive CDP on the market.

Adobe Real-Time CDP Feature Ratings

Customer Data Management
7.4
Account Scoring
Not Rated
Customer Data Governance
10
Data Connectors
10
Data Enhancement
5
Data Ingestion
7
Data Storage
7
Data Visibility
5
Event Data
7
Identity Resolution
8
Audience Segmentation & Targeting
7.0
Standard visitor segmentation
7
Behavioral visitor segmentation
7
Website personalization
7
Tag Management
8.5
Tag library
8
Ease of writing custom tags
9
Rules-driven tag execution
9
Tag performance monitoring
7
Page load times
9
Mobile app tagging
9

Comments

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