An e-commerce company wants to use the Experience Platform Real-time CDP to contact known prospects or customers who abandon before checking out. The following data sources are available to be imported:- CRM system of customers- Adobe Analytics- Order Processing System detailing ordersThe retailer uses the following tools to market to customers:- Email- Google Display Ads- Adobe Target for personalizationKnown prospects are defined as people who have provided an email address.Which workflow should be used?
Answer(s): A
This is the most suitable workflow to contact known prospects or customers who abandon before checking out. By importing customer data into the profile, the company can enrich their profile data with CRM information, such as email address. By setting up Adobe Analytics as a source, the company can ingest online behavior data from web and app into AEP dataset. By using segmentation to find profiles with email address and visited a product page and added to cart but did not complete checkout, the company can use the segmentation service and UI of AEP to define and evaluate their target audience based on profile attributes and behaviors. By sending the segment of Abandon customers to Campaign and Target, the company can activate their segment across multiple channels, such as email, Google Display Ads, and personalization.
: Onboard Data into Platform : Connect Adobe Analytics Data Sources : Create a Segment : Share Segments with Destinations
A company collects online transaction data from two different sources and onboards into AER The data is housed in two systems:- Digital Order Line (DOL), which gets data at a daily batch latency - Streaming (Web/App)The company prefers to use Streaming data over DOL. Which method should the engineer use?
Answer(s): C
Dataset precedence is a feature that allows users to define how data from different datasets should be merged into a single profile based on their priority. Users can specify which dataset has higher precedence over another dataset when there is conflicting data for the same attribute. This way, the company can use Streaming data over DOL when they have online transaction data from both sources.
: [Dataset Precedence Overview](https://experienceleague.adobe.com/docs/ex
A food company offers monthly subscription meat boxes. People who buy bacon in the past 90 days typically spend 20% more. The company wants to use the Experience Platform to remind customers to add bacon to their upcoming subscription box to increase sales. Subscription boxes cannot be changed 2 weeks before delivery.The company has the following data sources available to be imported:- CRM system of customers- Order Processing System detailing orders- Product Catalog via Magento- Adobe AnalyticsThe company uses the following tools to market to customers:- Email- Google Display Ads- Facebook- Adobe Target for personalizationHow should the engineer set up the segment?
Answer(s): D
This is the most effective workflow to send promotional discount offers to the target audience. By onboarding CRM data into AEP, the company can leverage the profile data and identity stitching features of AEP to create a unified view of their customers. By creating Adobe Analytics source connection in AEP, the company can ingest online behavior data from web and app into AEP dataset. By building and deploying a propensity score model in data science workspace, the company can use the machine learning capabilities of AEP to predict the likelihood of customers to purchase based on their profile and behavior data. By creating a segment in AEP using the propensity score, web visits, distance from store, and purchase order data attributes, the company can use the segmentation service and UI of AEP to define and evaluate their target audience based on profile attributes and behaviors. By sharing the segment with Adobe Campaign, the company can activate their segment across multiple channels, such as email, SMS, postcard, Google Display Ads, and Facebook.
: Onboard Data into Platform : Connect Adobe Analytics Data Sources : Data ScienceWorkspace Overview : Create a Segment : Share Segments with Destinations
After mapping a segment to an external destination, the user notices in the dataflow run tab that some of the identities have been excluded.What are two things that could cause this issue? (Choose two.)
Answer(s): A,D
These are two possible reasons why some identities have been excluded after mapping a segment to an external destination. Some identities were not recognized by the destination means that there was no matching identifier between AEP and the destination system. For example, if AEP sends email addresses as identifiers but the destination system expects phone numbers as identifiers, then there will be no match and those identities will be excluded. Some identities were not meeting consent policies means that there was a violation of data usage governance rules based on data labels and marketing actions. For example, if AEP sends PII data as part of a segment but the destination system is not authorized to use PII data for personalization purposes, then those identities will be excluded.
: Identity Mapping Overview : Data Usage Governance Overview
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Anisha Commented on February 25, 2025 Nice,well organized Anonymous
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