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Comprehensive Technical Tutorial for ÃÛ¶¹ÊÓƵ Experience Platform

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Overview

This tutorial is the perfect starting point for Data Engineers, Data Analysts, Data Architects, Data Scientists, Orchestration Engineers and Marketers to gain a full understanding of the business value of ÃÛ¶¹ÊÓƵ Experience Platform and all of its application services. Each lesson focuses on a real challenge businesses face in today’s complex ecosystem of personalization and breaks down how Experience Platform solves that challenge in various hands-on exercises.

This tutorial is very diverse and offers clear insights in the following applications:

This tutorial doesn’t just focus on ÃÛ¶¹ÊÓƵ applications, but takes into account the broader ecosystem in which brands operate. In order to do that, in some lessons there is a focus on how non-ÃÛ¶¹ÊÓƵ applications integrate with ÃÛ¶¹ÊÓƵ Experience Platform. As such, you’ll gain a deep understanding in how the following applications will work together with ÃÛ¶¹ÊÓƵ Experience Platform:

After completing the exercises in this tutorial, you will be able to:

Prerequisites

If you want to take this tutorial using your own ÃÛ¶¹ÊÓƵ Experience Platform instance, following the instructions here to prepare your org for the tutorial.

Videos

You can find a lot of interesting videos from our Tech Academy webinars, from bootcamps and more on our .

Completion & Certification

This tutorial is part of an ÃÛ¶¹ÊÓƵ Certification course. You can sign up for the course alongside this tutorial by going to .

For every module that you complete using the below tutorial, you need to submit a proof of completion as indicated here.

Content

To check the status of the below content, please go to the status page.

0. Getting started

In this foundational module, you will setup everything so that you can access and use the demo environment.

Time Investment: 30 minutes

1. Data Collection

1.1 Foundation - Setup of ÃÛ¶¹ÊÓƵ Experience Platform Data Collection & Web SDK

In this foundational module, you will learn about ÃÛ¶¹ÊÓƵ Experience Platform Data Collection and the new Web SDK extension.

Time Investment: 30 minutes

1.2 Foundation - Data Ingestion

In this foundational module, you will ingest data from various sources into ÃÛ¶¹ÊÓƵ Experience Platform

Time Investment: 120 minutes

1.3 Federated Audience Composition

In this module, you’ll learn how to setup a Federated Audiences model and generate audiences using federated data.

Time Investment: 90 minutes

2. Real-Time CDP B2C

2.1 Foundation - Real-time Customer Profile

In this foundational module, you will explore the Real-time Customer Profile in ÃÛ¶¹ÊÓƵ Experience Platform by making use of the UI and API.

Time Investment: 90 minutes

2.2 Intelligent Services

In this module, you’ll learn how to setup, configure and use ÃÛ¶¹ÊÓƵ Experience Platform Intelligent Services.

Time Investment: 60 minutes

2.3 Real-Time CDP - Build an audience and take action

In this module, you’ll configure an audience and activate the audience to several destinations, including Google DV360, ÃÛ¶¹ÊÓƵ Target and AWS S3.

Time Investment: 90 minutes

2.4 Real-Time CDP: Audience Activation to Microsoft Azure Event Hub

In this module, you’ll setup a Microsoft Azure EventHub destination as a real-time destination for ÃÛ¶¹ÊÓƵ Experience Platform Real-time CDP. You will also setup and deploy an Azure function that will be triggered in real-time whenever ÃÛ¶¹ÊÓƵ Experience Platform delivers a audience payload to your Azure EventHub destination. The Azure Function that you’ll trigger will show the mechanism of ÃÛ¶¹ÊÓƵ Experience Platform Real-time CDP’s activation capabilities.
As part of this module you will also get an understanding of what triggers Real-time CDP to actually deliver a payload to a specified destination. We will also discuss the status of a audience qualification and how it relates to activation.

Time Investment: 90 minutes

2.5 Real-Time CDP Connections: Event Forwarding

In this module, you’ll use the previously configured datasets, schemas and ÃÛ¶¹ÊÓƵ Experience Platform Data Collection property to collect data, and then forward that data server-side to several endpoints, such as Google Cloud Platform Pub/Sub and AWS Kinesis.

Time Investment: 90 minutes

2.6 Stream data from Apache Kafka into Real-Time CDP

In this module, you’ll learn how to setup your own Apache Kafka cluster, define topics, producers and consumers and stream data into ÃÛ¶¹ÊÓƵ Experience Platform using the ÃÛ¶¹ÊÓƵ Experience Platform Sink Connector for Kafka Connect.

Time Investment: 90 minutes

3. ÃÛ¶¹ÊÓƵ Journey Optimizer B2C

3.1 ÃÛ¶¹ÊÓƵ Journey Optimizer: Orchestration

In this module you’ll use ÃÛ¶¹ÊÓƵ Journey Optimizer to build out a trigger-based journey.

Time Investment: 60 minutes

3.2 ÃÛ¶¹ÊÓƵ Journey Optimizer: External data sources and custom actions

In this module, you’ll use ÃÛ¶¹ÊÓƵ Journey Optimizer to listen to customer behavior, both online and offline, and respond to it in an intelligent, contextual and real-time way over various channels.

Time Investment: 90 minutes

3.3 ÃÛ¶¹ÊÓƵ Journey Optimizer: Offer Decisioning

In this module, you’ll use the ÃÛ¶¹ÊÓƵ Experience Platform - Offers/Decisioning application service in a hands-on way to configure Personalized Offers and your own Offer Activity.

Time Investment: 120 minutes

3.4 ÃÛ¶¹ÊÓƵ Journey Optimizer: Event-based Journeys

In this module, you’ll learn everything there is to know about Journey Optimizer, which helps companies design and deliver connected, contextual, and personalized experiences to their customers.

Time Investment: 120 minutes

3.5 ÃÛ¶¹ÊÓƵ Journey Optimizer: Translation Services

In this module, you’ll learn how to setup and use Translation Services within ÃÛ¶¹ÊÓƵ Journey Optimizer to localize your messages to your customers.

Time Investment: 60 minutes

4. ÃÛ¶¹ÊÓƵ Customer Journey Analytics

4.1 Customer Journey Analytics: Build a dashboard using Analysis Workspace on top of ÃÛ¶¹ÊÓƵ Experience Platform

In this module, you’ll get Online to Offline insights by configuring a dashboard containing omni-channel data like Website Interactions, Mobile App Interactions, Call Center Interactions, In-Store Interactions and much more.

Time Investment: 120 minutes

4.2 Customer Journey Analytics: Ingest & Analyze Google Analytics data in ÃÛ¶¹ÊÓƵ Experience Platform with the BigQuery Source Connector

In this module, you’ll set up your own instance of Google Cloud Platform, load demo data in Google Cloud Platform and you’ll then use the BigQuery Source Connector to ingest that data from Google Cloud Platform into ÃÛ¶¹ÊÓƵ Experience Platform. Finally, you’ll use Customer Journey Analytics to visualize that data.

Time Investment: 120 minutes

5. Data Distiller

5.1 Query Service

In this module, you’ll learn how to use ÃÛ¶¹ÊÓƵ Experience Platform Query Service.

Time Investment: 90 minutes

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