Adobe Exam AD7-E601 Topic 3 Question 11 Discussion

Actual exam question for Adobe's AD7-E601 exam

Question #: 11
Topic #: 3

[All AD7-E601 Questions]

A global retailer wants to send promotional discount offers to the following:

Existing customers who are:

* Within 50 miles of their nearest store

* Have made one of the following:

* Visits to the website more than 3 times in the last 2 weeks

* Purchase of items worth more than $200 in the last 2 months

* Have high propensity to purchase

This offer will be sent via SMS if the customer has subscribed to SMS. Otherwise, the offer will be sent via email.

They have made the following digital investment:

* Adobe Experience Platform

* Adobe Audience Manager

* Adobe Analytics

* Adobe Campaign

* Adobe Target

* Adobe Advertising Cloud

* CRM

Which steps should the retailer take to meet the requirement?

A1. Onboard CRM data into AEP
2. Create Adobe Analytics and AAM source connection in AEP
3. Create segment in Adobe Target for visitors with high propensity score to purchase
4. Import segment in AEP and combine with web visits, distance from store, and purchase order data attributes
5. Share segment with Adobe Advertising Cloud

B1. Onboard CRM data into AEP
2. Create Adobe Analytics source connection In AEP
3. Share AEP data with AAM
4. Use Look-Alike Modeling in AAM to create the segment
5. Share segment with Target and Campaign

C1. Onboard CRM data into AEP
2. Create segment in Adobe Target for visitors with high propensity score to purchase
3. Import segment in AEP and combine with web visits, distance from store, and purchase order data attributes
4. Share segment across Adobe Experience Cloud

D1. Onboard CRM data into AEP
2. Create Adobe Analytics source connection In AEP
3. Build and deploy a propensity score model in data science workspace
4. Create segment in AEP using the propensity score, web visits, distance from store, and purchase order data attributes
5. Share segment with Adobe Campaign

Show Suggested Answer

Suggested Answer: B

Analytical functions are functions that allow users to perform complex calculations on data within a segment definition. For example, users can use analytical functions to calculate averages, sums, counts, ranks, percentiles, and more. Analytical functions can help users create more advanced segments based on derived metrics or attributes. Reference: :Analytical Functions Overview

by Eun at Oct 22, 2023, 07:56 AM

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