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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
  • Context
  • 1.5.1 Mapping variables in Analytics
  • Context data
  • Processing rules
  • 1.5.2 Audience Manager on the Experience Platform Edge Network
  • 1.5.3 Review your Datastream to send data to Adobe Analytics
  • 1.5.4 Review your Datastream to send data to Adobe Audience Manager
  1. 1 - Adobe Experience Platform Data Collection and the Web SDK extension

1.5 Implement Adobe Analytics and Adobe Audience Manager

Foundation - Setup of Adobe Experience Platform Data Collection and the Web SDK extension - Implement Adobe Analytics and Adobe Audience Manager

Previous1.4 Client-side Web Data CollectionNext1.6 Implement Adobe Target

Last updated 2 years ago

Context

You now know that XDM data is flowing into platform. You'll explore more about what XDM is in , as well as how to build your own schema to track custom variables. For now you're going to look at what happens when you set your Datastream to forward data to Analytics and Audience Manager.

1.5.1 Mapping variables in Analytics

The Adobe Experience Platform Web SDK maps certain values automatically, making a new implementation of Analytics via the Web SDK as quick as possible. The automatically mapped variables are listed .

For XDM data that is not automatically mapped to Adobe Analytics, you can use to match your . Then it can be mapped into Analytics using to populate Analytics variables. Context Data and Processing Rules will be concepts familiar to those that have worked with Analytics in the past, but don't worry about the details for now if they are new concepts.

You can also use a default set of actions and product lists to send or retrieve data with the AEP Web SDK. To do this, see .

Context data

To be used by Analytics, XDM data is flattened using dot notation and made available as contextData. The following list of value pairs shows an example of context data:

{
    "bh": "900",
    "bw": "1680",
    "c": "24",
    "c.a.d.key.[0]": "value1",
    "c.a.d.key.[1]": "value2",
    "c.a.d.object.key1": "value1",
    "c.a.d.object.key2.[0]": "value2",
    "c.a.x.environment.browserdetails.javascriptenabled": "true",
    "c.a.x.environment.type": "browser",
    "cust_hit_time_gmt": "1579781427",
    "g": "http://example.com/home",
    "gn": "home",
    "j": "1.8.5",
    "k": "Y",
    "s": "1680x1050",
    "tnta": "218287:1:0|0,218287:1:0|2,218287:1:0|1,218287:1:0|32767,218287:1:01,218287:1:0|0,218287:1:0|1,218287:1:0|0,218287:1:0|1",
    "user_agent": "Mozilla/5.0 AppleWebKit/537.36 Safari/537.36",
    "v": "Y"
}

Processing rules

1.5.2 Audience Manager on the Experience Platform Edge Network

Server-side forwarding is a not a new concept for Audience Manager, and the same process as before applies. You can also sync identities.

1.5.3 Review your Datastream to send data to Adobe Analytics

In case you want to send data collected by Web SDK to Adobe Analytics and Adobe Audience Manager, follow these steps.

In the top right corner of your screen, select your sandbox name, which should be --aepSandboxId--. Open your specific datastream, which is named --demoProfileLdap-- - Demo System Datastream.

You'll then see this. To enable Adobe Analytics, click +Add Service.

You'll then see this. Select the service Adobe Analytics, after which you need to add the report suite in Adobe Analytics to send data into. In this tutorial, this is out of scope. Click Cancel.

1.5.4 Review your Datastream to send data to Adobe Audience Manager

You'll then see this. To enable Adobe Audience Manager, click +Add Service.

You'll then see this. Select the service Adobe Audience Manager after which you can decide to enable or disable Adobe Audience Manager cookie destinations and/or URL destinations. In this tutorial, this configuration is out of scope. Click Cancel.

All data collected by the edge network can be accessed via . In [!DNL Analytics], you can use processing rules to incorporate context data into Analytics variables.

Go to and go to Datastreams.

Module 2
here
context data
schema
processing rules
Products
processing rules
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