- Tutorial Overview
- Architecture Overview
- Video Overview
- 0 - Getting started
- 1 - Launch and the Web SDK extension
- Overview
- 1.1 Understanding Adobe Experience Platform Launch
- 1.2 Edge Network and Server Side Data Collection
- 1.3 Introduction to Launch
- 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
- 3 - Real-time Customer Profile
- 4 - Voice Assistant - Amazon Alexa
- 5 - ETL Tools
- 6 - Journey Orchestration
- 7 - Query Service
- 8 - Data Science Workspace - Popularity Based Recommendations
- 9 - Data Ingestion using Google Tag Manager and Google Analytics
- Overview
- 9.0 Create a Google Account
- 9.1 Create a Google Tag Manager Property
- 9.2 Setup Google Analytics & link it to GTM
- 9.3 Configure GTM Variables
- 9.4 Retrieve Data Sets in Platform
- 9.5 Configure GTM Tags & Triggers
- 9.6 Publish your GTM Property
- 9.7 Implement GTM Tag on Platform Demo website
- 9.8 Verify Data Ingestion from website into Platform
- Summary and benefits
- 10 - Data Science Workspace - Churn Prediction Model
- 11 - Real-time CDP - Build a segment and take action!
- Overview
- 11.1 Build a segment and enable Streaming Segmentation
- 11.2 Review how to configure DV360 Destination using Destinations
- 11.3 Take Action: send your segment to DV360
- 11.4 Take Action: Send your segment to Google AdWords RLSA using Adobe Audience Manager
- 11.5 Take Action: send your segment to an S3-destination
- 11.6 Take Action: send your segment to Adobe Target
- Summary and benefits
- 12 - Journey Orchestration - External Weather API, SMS Action and more…
- 13 - Customer Journey Analytics - Build a dashboard using Analysis Workspace on top of Adobe Experience Platform
- 14 - Offer Decisioning
- Overview
- 14.1 Offer Decisioning 101
- 14.2 Configure your Offers and Offer Activity
- 14.3 Prepare your Launch and Web SDK setup for Offer Decisioning
- 14.4 Test your Offer Activity using the demo website
- 14.5 Test your Offer Activity using the API
- 14.6 Test your Offer Activity using Journey Orchestration
- Summary and benefits
- 15 - Data Science Workspace - Car Insurance Sales Propensity
- 16 - Ingest and Analyze Google Analytics data in Adobe Experience Platform with the BigQuery Source Connector
- Overview
- 16.1 Create your Google Cloud Platform Account
- 16.2 Create your first query in BigQuery
- 16.3 Connect GCP & BigQuery to Adobe Experience Platform
- 16.4 Load data from BigQuery into Adobe Experience Platform
- 16.5 Analyze Google Analytics Data using Customer Journey Analytics
- Summary and benefits
- 17 - Adobe Experience Platform and Microsoft Dynamics 365
- Overview
- 17.1 Create your Microsoft Dynamics 365 account
- 17.2 Connect Microsoft Dynamics 365 to Adobe Experience Platform via a Source Connector
- 17.3 Create a Contact in Microsoft Dynamics 365 using Journey Orchestration & Import data from Microsoft Dynamics
- 17.4 Update a contact in Microsoft Dynamics 365 and automatically trigger a journey
- Summary and benefits
- 18 - Segment Activation to Microsoft Azure Event Hub
- Overview
- 18.0 Configure your environment
- 18.1 Configure your Microsoft Azure EventHub environment
- 18.2 Configure your Azure Event Hub Destination in Adobe Experience Platform
- 18.3 Create Streaming Segments
- 18.4 Activate Segment
- 18.5 Create your Microsoft Azure Project
- 18.6 End-to-end scenario
- Summary and benefits
- 19 - Adobe Experience Platform and ServiceNow: connecting service to marketing and sales
- Overview
- 19.1 Setup your ServiceNow developer instance
- 19.2 Install and configure the integration between ServiceNow and Adobe Experience Platform through Adobe I/O
- 19.3 Setup your ServiceNow environment
- 19.4 Setup your ServiceNow UI
- 19.5 Setup your ServiceNow Flow
- 19.6 Prepare End-to-end Demo
- 19.7 End-to-end Demo
- Summary and benefits
- 20 - AI-Driven Chat Apps and Live Chat powered by Stackchat
- Overview
- 20.1 Onboard to Stackchat
- 20.2 Build your Luma Bot
- 20.3 Build your Luma Bot - Cloud Functions
- 20.4 Use Journey Orchestration to trigger an email follow up after interacting with your chatbot
- 20.5 Configure the integration between Stackchat and Adobe Experience Platform
- 20.6 Test your chatbot on the demo website
- 20.7 Connect your chatbot to Facebook Messenger
- 20.8 Test the WeChat Integration
- Summary and benefits
20. AI-Driven Chat Apps & Live Chat powered by Stackchat
Authors: Marcus Robinson, Ian Dejong, Wouter Van Geluwe
In this module, you’ll build your own Luma chatbot using Stackchat. This module will take you through how to…
- Setup your Stackchat account
- Create your first Stackchat chatbot
- Build automated conversations & live chat
- Integrate your chatbot with the Luma website using the Web Messenger
- Configure social channels so you can interact with your chatbot via Facebook and WeChat
- Integrate your chatbot with Adobe Experience Platform and other Experience Cloud products
As part of this module you’ll setup a bi-direction integration between Stackchat and Adobe Experience Platform, allowing your chatbot to both send interaction data to Adobe Experience Platform and also, have Stackchat consume the Real-time Customer Profile via Adobe Experience Platform API’s to help inform and personalize the conversation across web and social. To illustrate the end result, please check out the following video:
An introduction to Stackchat
Customers have high expectations when it comes to brand interactions. They want instant answers to questions and they want to communicate on their terms across social and owned channels. Email forms and call centers no longer cut it on their own and brands who fail to offer real-time omni-channel chat as a communication channel cannot remain competitive in the customer experience space. Stackchat helps solve these needs by providing an enterprise grade, all-in-one conversational marketing platform to build, manage and optimize chat apps for your business using NLP AI & Live Chat capability through team collaboration, content pipelines and developer workflows.
Learning Objectives
- Become familiar with the Stackchat UI
- Send Stackchat Event data to Adobe Experience Platform
- Consume the Real-time Customer Profile from Stackchat to drive contextual conversations
- Test & Demo your chatbot using Web, Facebook and WeChat.
- Understand the architecture behind the Stackchat - Adobe Experience Platform integration.
Prerequisites
- Access to Adobe Experience Platform and Stackchat
- Understanding of Adobe Experience Platform datasets and XDM
- Understanding of Adobe Experience Platform API’s
- Access to Facebook and / or WeChat account
- Latest version of Node.js installed. Please make sure you’re running Node v12 or above.
This tutorial was created to facilitate a particular workshop format. It uses specific systems and accounts to which you might not have access. Even without access, we think you can still learn a lot by reading through this very detailed content. If you’re a participant in one of the workshops and need your access credentials, please contact your Adobe representative who will provide you with the required information.
Architecture Overview
Have a look at the below architecture, which highlights the components that will be discussed and used in this module.
Sandbox to use
For this module, please use this sandbox: --aepSandboxId--.
Don’t forget to install, configure and use the Chrome Extension as referenced in 0.5 - Install the Chrome extension for the Experience League documentation
Exercises
In this exercise, you’ll create your Stackchat account.
In this exercise, you’ll learn how to create your first chatbot in Stackchat.
20.3 Build your Luma Bot - Cloud Functions
In this exercise, you’ll learn how to create your first chatbot in Stackchat.
20.4 Use Journey Orchestration to trigger an email follow up after interacting with your chatbot
In this exercise, you’ll learn how to configure the integration from Stackchat to Adobe Experience Platform, familiarize yourself with the streaming end point set up for real-time chat bot interactions, datasets & XDM schemas that capture the streaming data.
20.5 Configure the integration between Stackchat and Adobe Experience Platform
In this exercise, you’ll set up a journey which will email customers after they engage with your chatbot.
20.6 Test your chatbot on the demo website
In this exercise, you’ll test your chatbot by implementing it on the website.
20.7 Connect your chatbot to Facebook Messenger
In this exercise, you’ll learn how to set up a Facebook Page to then test and demo the Stackchat/Facebook-integration and show how a chatbot-conversation impacts on-site personalization.
20.8 Test the WeChat Integration (Optional)
In this exercise, you’ll learn how to test and demo a pre-built Stackchat/WeChat-integration and show how a chatbot-conversation impacts on-site personalization.
Summary of this module and overview of the benefits.
Thank you for investing your time in learning all there is to know about Adobe Experience Platform. If you have questions, want to share general feedback of have suggestions on future content, please contact Wouter Van Geluwe directly, by sending an email to vangeluw@adobe.com.
Resources on adobe.com
On this page
