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Comprehensive Technical Tutorial for AEP
  • Comprehensive Technical Tutorial for Adobe Experience Platform
    • Architecture
    • Video Overview
  • 0 - Getting started
    • 0.0 Which environment do I use?
    • (Deprecated) Install the Chrome extension for the Experience League documentation
    • 0.1 Use Demo System Next to setup your Adobe Experience Platform Data Collection client property
    • 0.2 Create your Datastream
    • 0.3 Set up the website
    • 0.4 Set up the mobile app
    • 0.5 Ingest Data to AEP through the Website
    • 0.6 Ingest Data to AEP through the Mobile App
    • 0.7 Visualize your own Real-time Customer Profile - UI
    • 0.8 See your Real-time Customer Profile in action in the Call Center
    • 0.9 Set up and use the AEP API to visualize your Real-Time Customer Profile
    • 0.10 Install the Experience Platform Debugger Extension
    • 0.11 What if I want to demonstrate basic AEP concepts directly on a live website?
  • 1 - Adobe Experience Platform Data Collection and the Web SDK extension
    • 1.1 Understanding Adobe Experience Platform Data Collection
    • 1.2 Edge Network, Datastreams and Server Side Data Collection
    • 1.3 Introduction to Adobe Experience Platform Data Collection
    • 1.4 Client-side Web Data Collection
    • 1.5 Implement Adobe Analytics and Adobe Audience Manager
    • 1.6 Implement Adobe Target
    • 1.7 XDM Schema requirements in Adobe Experience Platform
    • Summary and Benefits
  • 2 - Data Ingestion
    • 2.1 Explore the Website
    • 2.2 Configure Schemas and Set Identifiers
    • 2.3 Configure Datasets
    • 2.4 Data Ingestion from Offline Sources
    • 2.5 Data Landing Zone
    • Summary and Benefits
  • 3 - Real-time Customer Profile
    • 3.1 Visit the website
    • 3.2 Visualize your own real-time customer profile - UI
    • 3.3 Visualize your own real-time customer profile - API
    • 3.4 Create a segment - UI
    • 3.5 Create a segment - API
    • 3.6 See your Real-time Customer Profile in action in the Call Center
    • Summary and benefits
  • 4 - Query Service
    • 4.0 Prerequisites
    • 4.1 Getting Started
    • 4.2 Using the Query Service
    • 4.3 Queries, queries, queries... and churn analysis
    • 4.4 Generate a dataset from a query
    • 4.5 Query Service and Power BI
    • 4.6 Query Service and Tableau
    • 4.7 Query Service API
    • Summary and benefits
  • 5 - Intelligent Services
    • 5.1 Customer AI - Data Preparation (Ingest)
    • 5.2 Customer AI - Create a New Instance (Configure)
    • 5.3 Customer AI - Scoring Dashboard and Segmentation (Predict & Take Action)
  • 6 - Real-time CDP - Build a segment and take action
    • 6.1 Create a segment
    • 6.2 Review how to configure DV360 Destination using Destinations
    • 6.3 Take Action: send your segment to DV360
    • 6.4 Take Action: send your segment to an S3-destination
    • 6.5 Take Action: send your segment to Adobe Target
    • 6.6 External Audiences
    • 6.7 Destinations SDK
    • Summary and benefits
  • 7 - Adobe Journey Optimizer: Orchestration
    • 7.1 Create your event
    • 7.2 Create your journey and email message
    • 7.3 Update your Data Collection property and test your journey
    • Summary and benefits
  • 8 - Adobe Journey Optimizer: External data sources and custom actions
    • 8.1 Define an event
    • 8.2 Define an external data source
    • 8.3 Define a custom action
    • 8.4 Create your journey and messages
    • 8.5 Trigger your journey
    • Summary and benefits
  • 9 - Adobe Journey Optimizer: Offer Decisioning
    • 9.1 Offer Decisioning 101
    • 9.2 Configure your offers and decision
    • 9.3 Prepare your Data Collection Client property and Web SDK setup for Offer Decisioning
    • 9.4 Combine Adobe Target and Offer Decisioning
    • 9.5 Use your decision in an email
    • 9.6 Test your decision using the API
    • Summary and benefits
  • 10 - Adobe Journey Optimizer: Event-based Journeys
    • 10.1 Configure an event-based journey - Order Confirmation
    • 10.2 Configure a batch-based newsletter journey
    • 10.3 Apply personalization in an email message
    • 10.4 Setup and use push notifications
    • 10.5 Create a business event journey
    • Summary and benefits
  • 11 - Customer Journey Analytics - Build a dashboard using Analysis Workspace on top of Adobe Experie
    • 11.1 Customer Journey Analytics 101
    • 11.2 Connect Adobe Experience Platform Data Sets in Customer Journey Analytics
    • 11.3 Create a Data View
    • 11.4 Data Preparation in Customer Journey Analytics
    • 11.5 Visualization using Customer Journey Analytics
    • Summary and benefits
  • 12 - Ingest & Analyze Google Analytics data in Adobe Experience Platform with the BigQuery Source Co
    • 12.1 Create your Google Cloud Platform Account
    • 12.2 Create your first query in BigQuery
    • 12.3 Connect GCP & BigQuery to Adobe Experience Platform
    • 12.4 Load data from BigQuery into Adobe Experience Platform
    • 12.5 Analyze Google Analytics Data using Customer Journey Analytics
    • Summary and benefits
  • 13 - Real-Time CDP: Segment Activation to Microsoft Azure Event Hub
    • 13.1 Configure your Microsoft Azure EventHub environment
    • 13.2 Configure your Azure Event Hub Destination in Adobe Experience Platform
    • 13.3 Create a segment
    • 13.4 Activate segment
    • 13.5 Create your Microsoft Azure Project
    • 13.6 End-to-end scenario
    • Summary and benefits
  • 14 - Real-Time CDP Connections: Event Forwarding
    • 14.1 Create a Data Collection Event Forwarding property
    • 14.2 Update your Datastream to make data available to your Data Collection Event Forwarding property
    • 14.3 Create and configure a custom webhook
    • 14.4 Create and configure a Google Cloud Function
    • 14.5 Forward events towards the AWS ecosystem
    • Summary and benefits
  • 15 - Stream data from Apache Kafka into Adobe Experience Platform
    • 15.1 Introduction to Apache Kafka
    • 15.2 Install and configure your Kafka cluster
    • 15.3 Configure HTTP API Streaming endpoint in Adobe Experience Platform
    • 15.4 Install and configure Kafka Connect and the Adobe Experience Platform Sink Connector
    • Summary and benefits
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  1. 3 - Real-time Customer Profile

3.4 Create a segment - UI

Foundation - Real-time Customer Profile - Create a segment - UI

Previous3.3 Visualize your own real-time customer profile - APINext3.5 Create a segment - API

Last updated 2 years ago

In this exercise, you'll create a segment by making use of Adobe Experience Platform's Segment Builder.

Story

Go to . After logging in, you'll land on the homepage of Adobe Experience Platform.

Before you continue, you need to select a sandbox. The sandbox to select is named --aepSandboxId--. You can do this by clicking the text [!UICONTROL Production Prod] in the blue line on top of your screen. After selecting the appropriate [!UICONTROL sandbox], you'll see the screen change and now you're in your dedicated [!UICONTROL sandbox].

In the menu on the left side, go to Segments. On this page, you can see an overview of all existing segments. Click on the + Create segment button to start creating a new segment.

Once you're in the new segment builder, you immediately notice the Attributes menu option and the XDM Individual Profile reference.

Since XDM is the language that powers the experience business, XDM is also the foundation for the segment builder. All data that is ingested in Platform should be mapped against XDM, and as such, all data becomes part of the same data model regardless of where that data comes from. This gives you a big advantage when building segments, as from this one segment builder UI, you can combine data from any origin in the same workflow. Segments built within Segment Builder can be sent to solutions like Adobe Target, Adobe Campaign and Adobe Audience Manager for activation.

Let's build a segment which includes all male customers.

To get to the gender attribute, you need to understand and know XDM.

Gender is an attribute of Person, which can be found under Attributes. So to get there, you'll start by clicking on XDM Individual Profile. You'll then see this. From the XDM Individual Profile window, select Person.

You'll then see this. In Person, you can find the Gender attribute. Drag the Gender attribute onto the segment builder.

Now you can choose the specific gender out of the pre-populated options. In this case, let's pick Male.

After selecting Male, you can get an estimation of the segment's population by pushing the Refresh Estimate button. This is very helpful for a business user, so that they can see the impact of certain attributes on the resulting segment size.

You'll then see an estimation such as the one below:

Next, you should refine your segment a bit. You need to build out a segment of all male customers that have viewed the product Proteus Fitness Jackshirt (Orange).

To build out this segment, you need to add an Experience Event. You can find all Experience Events by clicking on the Events icon in the Fields menu bar.

Next, you'll see the top-level, XDM ExperienceEvents node. Click on XDM ExperienceEvent.

Go to Product List Items.

Select Name and drag and drop the Name object from the left menu onto the segment builder canvas into the Events section.

You'll then see this:

The comparison parameter should be equals and in the input field, enter MONTANA WIND JACKET.

Every time you add an element to the segment builder, you can click the Refresh Estimate button to get a new estimate of the population in your segment.

So far, you've only used the UI to build your segment, but there's also a code-option to build a segment.

When building a segment, you're actually composing a Profile Query Language (PQL) query. To visualize the PQL code, you can click on the Code View switcher in the upper right corner of the segment builder.

Now you can see the full PQL statement:

person.gender in ["male"] and CHAIN(xEvent, timestamp, [C0: WHAT(productListItems.exists(name.equals("MONTANA WIND JACKET", false)))])

You can also preview a sample of the customer profiles that are part of this segment, by clicking on View Profiles.

Finally, let's give your segment a name and save it.

As a naming convention, use:

  • --demoProfileLdap-- - Male customers with interest in Montana Wind Jacket

Then, click the Save and Close button to save your segment, after which you'll be taken back to the Segment overview page.

You can now continue to the next exercise and build a segment through the API.

Next Step:

3.5 Create a segment - API
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