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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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On this page
  • 5.1.1 Create Schema
  • 5.1.2 Create Dataset
  • 5.1.3 Download Experience Event test data
  • 5.1.4 Ingest Experience Event test data
  1. 5 - Intelligent Services

5.1 Customer AI - Data Preparation (Ingest)

Customer AI - Data Preparation (Ingest)

Previous5 - Intelligent ServicesNext5.2 Customer AI - Create a New Instance (Configure)

Last updated 2 years ago

In order for Intelligent Services to discover insights from your marketing events data, the data must be semantically enriched and maintained in a standard structure. Intelligent Services leverages Adobe's Experience Data Model (XDM) schemas in order to achieve this. Specifically, all datasets that are used in Intelligent Services must conform to the Consumer Experience Event XDM schema.

5.1.1 Create Schema

In this exercise, you'll create a schema that contains the Consumer Experience Event mixin, which is required by the Customer AI Intelligent Service.

Log in to Adobe Experience Platform by going to this URL: https://experience.adobe.com/platform.

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 --module10sandbox--. You can do this by clicking the text [!UICONTROL Production Prod] in the blue line on top of your screen. After selecting the appropriate sandbox, you'll see the screen change and now you're in your dedicated sandbox.

From the left menu, click Schemas and go to Browse. Click Create Schema.

In the popup, select XDM ExperienceEvent.

You'll then see this.

Search and select the following Mixins to add to this Schema:

  • Consumer Experience Event

  • End User ID Details

Click Add Field Groups.

You'll then see this. Select the Mixin End User ID Details.

Navigate to the field endUserIDs._experience.emailid.id.

In the right menu for the field endUserIDs._experience.emailid.id, scroll down and check the checkbox for Identity, check the checkbox for Primary Identity and select the Identity namespace of Email.

Navigate to the field endUserIDs._experience.mcid.id. Check the checkbox for Identity and select the Identity namespace of ECID. Click Apply.

Give your schema a name now.

As the name for our schema, you'll use this:

  • --demoProfileLdap-- - Demo System - Customer Experience Event

As an example, for ldap vangeluw, this should be the name of the schema:

  • vangeluw - Demo System - Customer Experience Event

That should give you something like this. Click the + Add button to add new Mixins.

Select the name of your schema. You should now enable your schema for Profile, by clicking the Profile toggle.

You'll then see this. Click Enable.

You should now have this. Click Save to save your schema.

5.1.2 Create Dataset

From the left menu, click Datasets and go to Browse. Click Create dataset.

Click Create dataset from schema.

In the next screen, select the dataset you created in the previous exercise, which is named [!UICONTROL ldap - Demo System - Customer Experience Event]. Click Next.

As a name for your dataset, use --demoProfileLdap-- - Demo System - Customer Experience Event Dataset. Click Finish.

Your dataset is now created. Enable the Profile toggle.

Click Enable.

You should now have this:

You're now ready to start ingesting Consumer Experience Event data and start using the Customer AI service.

5.1.3 Download Experience Event test data

Once the Schema and Dataset are configured, you're now ready to ingest Experience Event data. Since Customer AI requires data across 2 quarters at least, you'll need to ingest externally prepared data.

The data prepared for the experience events must comply to the requirements and schema of the Consumer Experience Event XDM Mixin.

Please download the file containing sample data from this location: https://dashboard.adobedemo.com/data. Click the Download button.

Alternatively, if you can't access the above link, you can download the file also from this location: https://aepmodule10.s3-us-west-2.amazonaws.com/retail-v1-dec2020-xl.json.zip.

You've now downloaded a file named retail-v1-dec2020-xl.json.zip. Place the file on your computer's desktop and unzip it, after which you'll see a file named retail-v1.json. You'll need this file in the next exercise.

5.1.4 Ingest Experience Event test data

In Adobe Experience Platform, go to Datasets and open your dataset, which is named ldap - Demo System - Customer Experience Event Dataset.

In your dataset, click Choose files to add data.

In the popup, select the file retail-v1.json and click Open.

You'll then see the data being imported, and a new batch is created in the Loading state. Don't navigate away from this page until the file is uploaded.

Once the file has been uploaded, you'll see the batch status change from Loading to Processing.

Ingesting and processing the data might take 10-20min.

Once data ingestion is successful, the batch status will change to Success.

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