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AnkitJasani29
AnkitJasani29New Participant

Predictive Audience Lifetime Value (LTV) Scoring for Dynamic Campaign PrioritizationNew

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, offers, and loyalty experiences.Why is this feature important?Maximizes ROI by investing marketing resources in users who are likely to bring more revenue over time.Enables smarter segmentation beyond simple past-purchase or recency-frequency models.Enhances personalization by aligning offer types, discount levels, and campaign intensity based on user potential value.Improves strategic planning by giving marketing, sales, and service teams a predictive view of customer quality, not just quantity.Current Behavior:Marketers manually segment users based on historical transactions like total purchase value or number of orders.No predictive scoring available natively in Real-Time CDP; advanced LTV modeling typically requires external data science tools or custom machine learning pipelines.LTV-based prioritization isn't updated in real-time based on new events (e.g., sudden buying spree, major complaints, loyalty program milestones).Use Case:A user shows sudden high engagement with luxury products. The system recalculates their predicted LTV upward and automatically enrolls them in a premium loyalty tier campaign.A segment of users with declining engagement but historically high spend are identified early, allowing for targeted re-engagement offers before they churn.Campaign orchestration tools can use predictive LTV scores to decide who gets personal shopper assistance, exclusive previews, or early access to limited-stock items.

AnkitJasani29
AnkitJasani29New Participant

Real-Time Audience Suppression Based on Recent Negative EventsNew

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 for reactivation once an issue is resolved. Why is this feature important?Prevents wasting marketing budget by sending promotions to frustrated customers who are temporarily disengaged.Improves brand perception by respecting user sentiment and avoiding tone-deaf marketing outreach during sensitive moments.Reduces churn by showing customers you are listening and responding appropriately to their issues.Current Behavior:Audience suppression typically relies on static exclusion lists updated periodically (daily or weekly).No native real-time suppression based on live customer service data, failed transactions, or dissatisfaction signals.There’s no automated mechanism in Real-Time CDP to temporarily pause users from campaigns without manual intervention or external workflow orchestration.Use Case:A customer initiates a return request for a faulty product. Within minutes, they are suppressed from the active upsell email journey and instead flagged for a customer care follow-up.A user reports a poor app experience via feedback forms. The system immediately excludes them from push notification campaigns promoting new features until feedback is addressed.A transaction failure occurs due to payment gateway issues; the user is paused from cart abandonment reminders until the system detects a successful retry.

Farzaneh
FarzanehNew Participant

Allow reports on Journal Entries show value for custom fields that are in rich text formatNew

Description - I have created a report to pull historical data on custom fields that their format is Rich text, however the report is not showing data (the fields show empty in the report). As the WF support advised:  "What happens normally when you set those fields to be tracked is that it will post the updates in the update stream and it can reference the text of the field at that time to be able to display it in the report. Rich Text is one of the only exceptions to this. Normally you can use the "Old Text Value" and "New Text Value" fields like you have, but Rich Text is stored in an HTML format in order to maintain the formatting that is being used.Because of this, though the update stream can show that updates were made, the journal entry report doesn't have a native field in it that can pull and display that HTML text. It's a rare scenario, I think this only the second time I've seen this in the last 2 years or so.In this case the only way you would be able to go about tracking changes in a report like this would be if you were to create a new field, probably a paragraph text field, so that the text can actually be referenced by the report."Why is this feature important to you - My custom fields are in Rich text format and I would like to show my users history of changes/updates to the filed over time. Unfortunately, I cannot just disregard the already created Rich text format custom fields and replace them with Text fields as there are data populated in them within the system. How would you like the feature to work -  I would like there a way to create a historical report of those fields, or at least allow creation of a calculated custom field that pulls data from the Rich text format fields and converts them to text, or change the report code in a way that I can convert the rich text value to text so that the report shows the data.  Current Behaviour - Right now, it is not possible to view the data from Rich text custom fields in Journal Entry reports. Journal entry fields cannot even be pulled/accessed in custom fields/forms for a workaround. 

stephjo
stephjoNew Participant

Ability to Anchor "As of Date" to a Cell in the New Version of Report BuilderNew

This is a feature available in the legacy version of report builder, but not the new one. This feature is a tremendous help in doing reporting for fiscal time periods (WTD, MTD, QTD and YTD) through the previous day without having to manual work in Excel in the form of creating a fiscal calendar reference table, which would then need to get manually updated every year as well. This is an overview of how/why I used this feature:My reports are scheduled to send early in the morning, with reporting through previous day. Our Adobe instance is set up to use our fiscal calendar, and I use fiscal dates for reporting. The issue I have would be when the report is run on day that's the first day of a new fiscal period because I would want this report to actually run the data for the fiscal period that just ended. For example, our weeks start on Sunday. When the report is run on Sunday, I want my WTD reporting to be for the previous Sunday-Saturday. With new report builder, if I just have my weekly data requests set to be current week-current day, the Sunday sends of the report would just show partial data for the current day instead of showing the full previous week. With legacy report builder, I use a cell with a date formula of today-1 and use that as my anchor. So, with legacy report builder referencing that cell as the current day instead of using the day of when the report is running, when the report runs on Sundays, it thinks the current day is actually the previous day, Saturday. So then, a current week-current day setup would result in the previous Sunday-Saturday when the report is ran on Sundays.

AnkitJasani29
AnkitJasani29New Participant

Predictive Audience Churn Modeling with Real-Time InterventionsNew

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., email offers, push notifications, or loyalty incentives). It would also maintain a version history of churn prediction models for transparency, comparison, and improvement over time. Why is this feature important?Increases ROI of marketing campaigns through targeted retention efforts.Enables real-time action, which is crucial for saving at-risk customers.Provides transparency and iterative improvement through model versioning.Supports personalization at scale with minimal manual effort.Reduces revenue loss by proactively identifying customers likely to churn. Current Behavior:Adobe Real-Time CDP allows segmentation and audience activation, but lacks built-in churn prediction and automated intervention capabilities.Churn analysis typically happens outside Adobe in third-party tools.Manual workflows are needed to respond to churn risk.There is no native model history/version control in audience predictions. Use Case:An eCommerce brand wants to reduce churn among its subscription customers. Using this feature:The brand configures a churn prediction model in Real-Time CDP, trained on past behavior like reduced usage, late payments, or service downgrades.When a customer’s data shows signs of churn risk, the system immediately triggers a retention campaign offering a limited-time discount via email and mobile app.Marketers monitor model performance and view previous model versions to refine targeting strategies over time.