Real-Time Customer Data Platform

Description:It would be highly beneficial to display the size of an individual profile directly within the Profile Viewer in Adobe Experience Platform (AEP). Why is this feature important?Currently, while we can view various attributes and audience memberships in the UI, there is no visibility into ...

Description:Add a built‑in Data Quality Dashboard in RT-CDP that continuously monitors incoming streaming data for schema deviations, missing key attributes, duplicate records, and outlier values. When anomalies exceed configurable thresholds, trigger:Automated alerts (email or slack)Visual drill‑do...

Description:Introduce a Destination Activation Replay feature that tracks failed or missed activation (e.g., due to API downtime, schema mismatch, rate limits) and allows for automatic or manual reprocessing once the destination becomes healthy again - ensuring no critical activation is permanently ...

Description:Introduce a Source Health Dashboard that monitors the status, freshness, volume, and latency of incoming data sources (batch and streaming) in real time. Add alerting features for drops in ingestion, data schema mismatches, or unusual data volume patterns. Why is this feature important?E...

Description:Introduce a real-time audience fatigue scoring mechanism that tracks user responsiveness (or lack thereof) across channels (email, push, ads, etc.) and automatically adjusts frequency caps or suppresses the user from further campaigns until engagement improves. Why is this feature import...

Description:Introduce a predictive LTV (Lifetime Value) model natively inside Real-Time CDP that scores customers dynamically based on their engagement, transactions, browsing behavior, and other attributes - allowing marketers to automatically prioritize higher-value users for premium campaigns, of...

Description:Enable dynamic suppression of users from active marketing campaigns in real time based on recent negative experiences - such as failed transactions, customer complaints, or product returns - using Adobe Real-Time CDP signals and event-based triggers.Suppressed users can be re-evaluated f...

Description:Introduce a feature in Adobe Real-Time CDP that utilizes machine learning to predict customer churn based on real-time behavioral and transactional data. The system would allow marketers to define churn-risk thresholds and automatically activate personalized retention journeys (e.g., ema...

Description:Introduce the ability for multiple users to collaboratively build and refine audience definitions in Adobe Real-Time CDP with support for version history, change tracking, and inline comments.This feature would help cross-functional teams (marketers, analysts, data scientists) work toget...

Description - It would be nice to have at profile-level the amount of emails each profile have received and opened in the last 30 days.Why is this feature important to you - It would be possible to address journeys based on communication-engagement withouth having to do it at audience-level. How wou...