An Adobe Real-Time CDP Business Practitioner wants to forward raw website events to an analytics destination in real-time rather than sending a segment using a cookie identifier.
Which type of destination should the practitioner use?
A Real-Time CDP Business Practitioner has a client who wants to target audiences across Facebook. To send segments to this social destination, what are the first two steps they should take? (Choose two.)
As a Real-Time Business Practitioner, it is required to create a custom merge policy in Adobe Experience Platform for an upcoming use case to ensure profile attributes to take precedence from latest datasets and are applied across all datasets automatically.
Which merge method should the practitioner select?
Before using Adobe Real-Time CDR a telecommunications company was directly uploading a segment of likely-to-churn customers from SalesForce Marketing Cloud into Facebook for its social campaigns every 7 days. Now, the company can stream this data into RTCDP for segmentation and share with the Facebook connector in near real-time.
Which two metrics can be tracked to calculate the value of RTCDP for this customer? (Choose two.)
Answer : B, C
Two metrics that can be tracked to calculate the value of RTCDP for this customer are time-to-market and CPA. Time-to-market measures how quickly the customer can reach their target audience with relevant offers and messages using RTCDP's near real-time segmentation and activation capabilities. CPA (cost per acquisition) measures how much it costs the customer to acquire a new customer or retain an existing one using RTCDP's data-driven optimization and personalization features.
An outdoor retailer and Adobe Real-Time CDP customer tries to create a segment that identifies females who browsed camping supplies on its website. The retailer first selected experience events of users who have visited campaign supply product pages in the past 30 days. The initial size of the segment was 450,000 profiles. However, when the retailer AND'd the gender attribute from its loyalty system, the size of the segment dropped to only 7;000 profiles.
What is the most likely explanation for this dramatic drop in segment size?
Answer : D
The most likely explanation for the dramatic drop in segment size is that the majority of browsers on the website are not authenticated. This means that they do not have a loyalty account or a unique identifier that can be matched with the gender attribute from the loyalty system. Therefore, they are excluded from the segment that ANDs the gender attribute with the browsing behavior. To increase the segment size, the retailer could use other methods to identify or infer the gender of anonymous browsers, such as cookies, device IDs, or third-party data.
A financial services start-up implements Adobe Real-Time CDP and ingests third-party data with lead information. The start-up provides credit cards with crypto currency bonus offers.
Which two attributes could be used to understand high-value prospects? (Choose two.)
Answer : B, C
Two attributes that could be used to understand high-value prospects are household income and credit score. Household income indicates the financial capacity and spending power of a prospect, which could affect their interest in credit cards with crypto currency bonus offers. Credit score indicates the creditworthiness and risk level of a prospect, which could affect their eligibility and approval for credit cards with crypto currency bonus offers.
A Real-Time Business Practitioner has to export a customer's email address and corresponding attributes to a SFTP connection. Which destination type is recommended in this scenario?