Introduction

What is Recommendations?

Recommendations is the Artificial Intelligence component used across Marigold Engage. It provides you with a suite of tools to enhance the user experience and increase the performance of your website and email campaigns using data science.

It allows you to insert dynamic and intelligent modules (we call them "Smart Content blocks") inside your website and emails. These Smart Content blocks adapt to and interact with each individual visitor, helping to discover products the visitor will be interested in. At the same time you collect behavioral information to make you better understand your customers and use this data to constantly enhance the performance of the predictive algorithms.

As a marketer, understanding your visitors' tastes and helping them easily find products they like will increase your conversion ratio and increase visitors' engagement and loyalty.

How does it work?

Recommendations collects data (essentially clicks), which are then processed by home-grown machine learning algorithms. Recommendations then creates and updates an individual mathematical model for visitors. We use this model to help the visitor throughout their visit on your website, and when leaving the website via emails, by generating personalized product selections based on their behavior and the behavior of all other visitors on your site.

The main features Recommendations offers are

  • AI-driven product recommendations on your websites
  • Personalized transactional and commercial email via Marigold Engage's email campaign tool
  • Predictive analytics and KPIs

Test your knowledge about Recommendations features

Which of the following statements is correct?

1 - Smart audiences allow to show specific content in a message to a specific user, that is fit to their profile so it's most likely that they engage with the message.
2 - Smart content allows to show specific content in a message to a specific user, that is fit to their profile so it's most likely that they engage with the message.
3 - Recommendations is a product recommendations engine.