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Engagement Product Recommendations: On-demand materials

A self-paced course for those looking to create product recommendations best suited to your company’s needs.

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Engagement Product Recommendations

Why take this course?

This course is a one-stop-shop for anyone looking to make the most effective product recommendations in the market. Know your product, know your audience, and know what it wants. Equip yourself with all the tools and knowledge you need — such as personalization, content-matching, and creating a recommendation module — to make your very own product recommendations, best suited to your business needs. Let your spot-on product recommendations drive revenue for your company.

Who is this course for?

This course will be most valuable for the next generation of marketers (e.g.  Marketing Campaign Coordinator, SEO Analyst) who want to provide personalized value to their customers. It will also be valuable to anyone interested in gaining a more-in depth knowledge about product recommendations. We strongly recommend that you successfully complete both the Engagement Foundations and Jinja Jumpstart: Personalization Intro courses prior to this course.

What to expect in this course?

Week 1

On-Demand Materials: Lectures 1, 2 & 3
The course starts with an introduction to why product recommendations are crucial in e-commerce and how businesses of all sizes can leverage these recommendations to engage their customers. The first set of on-demand materials covers the following topics:

  • Recommendation systems
  • The challenges of great personalization
  • Creating a personalization strategy
  • Content-matching vs collaborative filtering
  • Hybrid recommendations
  • Customizing results

(Recording) Practical Session #1
The first live session will explore case studies of product recommendations being used in e-commerce today. The session will also give an in-depth application analysis of the topics covered during the on-demand materials.

Week 2

On-Demand Materials: Lecture 4, 5 & 6
Our second week will cover all the essentials to create a great recommender system and learn to analyze your results. You will now be fully able to initiate your own recommendation modules using Bloomreach Engagement. The on-demand materials for the second week covers the following topics:

  • Bloomreach Engagement’s product recommendations module
  • Offline & hands-on qualitative evaluations
  • Business evaluations
  • Experimentation culture
  • Web Integration: SDK/Pixel, API
  • Jinja Personalization

(Recording) Practical Session #2
The second live session will recap all the key knowledge covered in the last two weeks and provide additional explanations with walkthroughs for some of the technical processes. This session will also clarify any final queries and concerns as well as walk you through what the course exam will cover.

Week 3

Final Exam
We strongly recommend submitting the final exam within 7 days after attending/watching Practical Session #2. After successful completion of the exam, you will be awarded with an official Bloomreach Certificate which you can share with your professional network via LinkedIn.

Expert Instructor

ondrej-1
Ondrej Horvath

Senior Business Consultant

Curriculum

  • Important Instructions
  • Demo project access
  • RECORDING: Introduction session
  • Week 1: Theory, Principles & Getting Started
  • Video Lesson 1: Why are product recommendations useful?
  • Slides Lesson 1: Why are product recommendations useful?
  • Video Lesson 2: Choosing the right personalization strategy
  • Slides Lesson 2: Choosing the right personalization strategy
  • Video Lesson 3: What is the idea behind personalization?
  • Slides Lesson 3: What is the idea behind personalization?
  • Video Lesson 4: What is needed to create a great recommender system?
  • Slides Lesson 4: What is needed to create a great recommender system?
  • Practical Session
  • RECORDING: Practical Session #1
  • Week 2: Data Requirements, Integration & Evaluation
  • Video Lesson 5: Should the results be trusted? Evaluation of recommendations
  • Slides Lesson 5: Should the results be trusted? Evaluation of recommendations
  • Video Lesson 6: Integration to Web and into the campaigns
  • Slides Lesson 6: Integration to Web and into the campaigns
  • Practical Session
  • RECORDING: Practical Session #2
  • Further Reading & Materials Recommended by Bloomreach Machine Learning Engineers
  • Written Documentation - General introduction & Business Guide
  • Useful Article in Harvard Business Review: 'How Marketers Can Get More Value from Their Recommendation Engines'
  • Guide to AB testing by Shopify
  • Coursera Course - Technical deep dive into Recommendations
  • Google Course - Deep Dive Into A/B testing
  • Final Exam
  • MANDATORY: Final Exam
  • MANDATORY: Course Feedback
  • What's Next?
  • Find your next course

Engagement Product Recommendations

Why take this course?

This course is a one-stop-shop for anyone looking to make the most effective product recommendations in the market. Know your product, know your audience, and know what it wants. Equip yourself with all the tools and knowledge you need — such as personalization, content-matching, and creating a recommendation module — to make your very own product recommendations, best suited to your business needs. Let your spot-on product recommendations drive revenue for your company.

Who is this course for?

This course will be most valuable for the next generation of marketers (e.g.  Marketing Campaign Coordinator, SEO Analyst) who want to provide personalized value to their customers. It will also be valuable to anyone interested in gaining a more-in depth knowledge about product recommendations. We strongly recommend that you successfully complete both the Engagement Foundations and Jinja Jumpstart: Personalization Intro courses prior to this course.

What to expect in this course?

Week 1

On-Demand Materials: Lectures 1, 2 & 3
The course starts with an introduction to why product recommendations are crucial in e-commerce and how businesses of all sizes can leverage these recommendations to engage their customers. The first set of on-demand materials covers the following topics:

  • Recommendation systems
  • The challenges of great personalization
  • Creating a personalization strategy
  • Content-matching vs collaborative filtering
  • Hybrid recommendations
  • Customizing results

(Recording) Practical Session #1
The first live session will explore case studies of product recommendations being used in e-commerce today. The session will also give an in-depth application analysis of the topics covered during the on-demand materials.

Week 2

On-Demand Materials: Lecture 4, 5 & 6
Our second week will cover all the essentials to create a great recommender system and learn to analyze your results. You will now be fully able to initiate your own recommendation modules using Bloomreach Engagement. The on-demand materials for the second week covers the following topics:

  • Bloomreach Engagement’s product recommendations module
  • Offline & hands-on qualitative evaluations
  • Business evaluations
  • Experimentation culture
  • Web Integration: SDK/Pixel, API
  • Jinja Personalization

(Recording) Practical Session #2
The second live session will recap all the key knowledge covered in the last two weeks and provide additional explanations with walkthroughs for some of the technical processes. This session will also clarify any final queries and concerns as well as walk you through what the course exam will cover.

Week 3

Final Exam
We strongly recommend submitting the final exam within 7 days after attending/watching Practical Session #2. After successful completion of the exam, you will be awarded with an official Bloomreach Certificate which you can share with your professional network via LinkedIn.

Expert Instructor

ondrej-1
Ondrej Horvath

Senior Business Consultant

Curriculum

  • Important Instructions
  • Demo project access
  • RECORDING: Introduction session
  • Week 1: Theory, Principles & Getting Started
  • Video Lesson 1: Why are product recommendations useful?
  • Slides Lesson 1: Why are product recommendations useful?
  • Video Lesson 2: Choosing the right personalization strategy
  • Slides Lesson 2: Choosing the right personalization strategy
  • Video Lesson 3: What is the idea behind personalization?
  • Slides Lesson 3: What is the idea behind personalization?
  • Video Lesson 4: What is needed to create a great recommender system?
  • Slides Lesson 4: What is needed to create a great recommender system?
  • Practical Session
  • RECORDING: Practical Session #1
  • Week 2: Data Requirements, Integration & Evaluation
  • Video Lesson 5: Should the results be trusted? Evaluation of recommendations
  • Slides Lesson 5: Should the results be trusted? Evaluation of recommendations
  • Video Lesson 6: Integration to Web and into the campaigns
  • Slides Lesson 6: Integration to Web and into the campaigns
  • Practical Session
  • RECORDING: Practical Session #2
  • Further Reading & Materials Recommended by Bloomreach Machine Learning Engineers
  • Written Documentation - General introduction & Business Guide
  • Useful Article in Harvard Business Review: 'How Marketers Can Get More Value from Their Recommendation Engines'
  • Guide to AB testing by Shopify
  • Coursera Course - Technical deep dive into Recommendations
  • Google Course - Deep Dive Into A/B testing
  • Final Exam
  • MANDATORY: Final Exam
  • MANDATORY: Course Feedback
  • What's Next?
  • Find your next course