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Developing on AWS Pinpoint for Analytics and User Engagement

Developing on AWS Pinpoint for Analytics and User Engagement

1h 2mIntermediate2022-09-23

Authors

Bear Cahill

Bear Cahill

Mobile Application Developer

Course details

Knowing how your app or website is being used can open a gateway to monetization. Analyzing audience usage data and furthering engagement through messages provide you with powerful marketing tools. Beyond just analytics, AWS Pinpoint is a system that allows you to specify a segment of your audience and engage them. In this course, instructor Bear Cahill provides a mixture of business analytics and developer how to for customer engagement using Amazon Pinpoint. Bear gives you an overview of AWS Pinpoint, including account, pricing, features, campaigns, metrics, and more. He shows you the two types of audience segment definitions, then goes into ways you can make the best use of segments and data. Bear steps you through the full process of creating and launching an engagement campaign, then explains how to use Pinpoint for analytic charts, funnel analytics, monitoring, and metrics. Plus, he shows you how to control technical access with IAM, login and API access, limits, and SDKs.

Skills covered

Amazon Web Services (AWS)AmazonCloud ServicesProjectCloud PlatformsCloud Computing

Concepts

0. Introduction

  • 01 - Analytics and user engagement
  • 02 - What you should know

1. AWS Pinpoint Overview

  • 03 - Introduction to AWS Pinpoint
  • 04 - AWS account and pricing
  • 05 - AWS console and services
  • 06 - Pinpoint features and pricing
  • 07 - Segments and channels
  • 08 - Campaigns and metrics

2. Segments and Data

  • 09 - Users and endpoints
  • 10 - Imported and dynamic segments
  • 11 - Create a Pinpoint project
  • 12 - Import segment
  • 13 - Dynamic segment
  • 14 - Challenge - Import a JSON segment
  • 15 - Solution - Import a JSON segment

3. Engagement Campaigns

  • 16 - Creating a campaign
  • 17 - Define a message
  • 18 - Launch a campaign
  • 19 - Send a message
  • 20 - Challenge - A B test campaign
  • 21 - Solution - A B test campaign

4. Analytical Data

  • 22 - Analytic charts
  • 23 - Funnel analytics
  • 24 - Monitoring and metrics

5. Technical Access

  • 25 - Security with IAM
  • 26 - Log in and API access
  • 27 - Limits
  • 28 - SDKs

Conclusion

  • 29 - Next steps

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