Customer Journey Analytics consumes data directly from the AEP Data Lake; therefore, before doing our analysis in Customer Journey Analytics we need to ingest data in AEP. 

What is Customer Journey Analytics

Exercise 1 - Data preparation

emea_hol_api_credentials

emea_hol_sandbox

sacker-BUFY?token=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6ImFub255bW91c

emea_travel_bootcamp_website

eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6ImFub255bW91cyIsImVtYWlsIjoiYW5vbnltb3VzQGFkb2Jl

emea_carvelo_hol_website_token

https://dsn.adobe.com/p/carveloHOL?token=

emea_carvelo_hol_website

emea_travel_bootcamp_api_credentials

apac_travel_bootcamp_sandbox

apac_travel_bootcamp_org

SB21 - AEP Bootcamp - Cross-channel Data View

emea_travel_bootcamp_cja_dataview

emea_travel_bootcamp_mobile_project

emea_travel_bootcamp_sandbox

emea_travel_bootcamp_organisation

bootcamp_sandbox

ANZ_Bootcamp_Website

Schemas and Datasets

Experience Makers Bootcamp

[SB22] TV EMEA - AEP Bootcamp - Travel

Logging into the platform

Website

Finding your profile

[Bonus] Postman for APIs

Introduction

Visit the WKND Fly Website

Visualise Your Profile

[Bonus] Cross-device stitching

Create an Audience for Frequent Flyers

Create an Audience with Dynamic Variables

Send your Audience to a Destination: TikTok

[Bonus] Visualise your Profile using APIs

[Bonus] Exploring the Segmentation Service API

Lab 1: Real-time Customer Profile

Configuring an event

Creating an audience

Creating the journey

Testing the journey

Use Case 1: Booking journey

Creating offers

Use case 2: Onboarding journey

Lab 2: Adobe Journey Optimizer

Create Connections

Create Data Views

Workspaces and Reports

Analysing Cross Channel Data

Journey Visualisation

Fallout

Cohort Analysis

Attribution IQ

Sharing Filters from CJA to CDP

Exercise 2 - Data analysis

[Bonus] Query Service

Lab 3: Customer Journey Analytics