What are AI Product Recommendations and how they work? MAX

AI Recommendations is an additional feature available for GetResponse MAX customers that enables automated product recommendations on websites and in email campaigns.

The system uses machine learning algorithms to analyze visitor behavior and match products to individual preferences, needs, and browsing patterns. As a result, website visitors and email recipients are presented with products that are more relevant to them.

The feature is maintained and managed by GetResponse, including updates and ongoing optimization.

How do AI Recommendations work

AI Recommendations process data such as:

• browsing activity,
• product views,
• purchase behavior.

Based on this data, the system dynamically generates personalized product suggestions for each user. These recommendations can be displayed in website content (e.g., product pages, homepage sections) and in the email campaigns.

Types of recommendations available

AI Recommendations include predefined recommendation models that can be used on specific pages:

• Home page
  • Bestsellers in store
  • Recently visited in store
• Product category page
  • Bestsellers in store
  • Recently visited in store
  • Bestsellers for category page
• Product page
  • Bestsellers in store
  • Recently visited in store
  • Most similar in store
  • Other purchased in store
  • Others also viewed in store *(this model requires high traffic on website)
  • Others also purchased (based on products in the cart)
  • Most similar in category (showing less expensive products)
  • Most similar in category (showing more expensive products)
• Cart page
  • Bestsellers in store
  • Recently visited in store
  • Others also purchased (based on products in the cart)
• Blog page
  • Bestsellers in store
  • Recently visited in store
  • Most similar in store

AI Recommendations can also be applied in email campaigns to support common ecommerce scenarios, such as:

• cross-selling and upselling
• abandoned cart recovery
• personalized product suggestions in newsletters or automated messages.

Requirements

To use AI Recommendations, make sure the following requirements are met:

• An online store integrated with GetResponse using one of our official plugins (Shopify, Prestashop, WooCommerce, Magento, Shoper, or IdoSell) or via custom API integration
• A product feed in XML format, compliant with Google Merchant Center standards

How to implement AI Recommendations in your store

The implementation process for AI Recommendations is relatively quick for email-based recommendations and slightly more time-consuming when adapting on-site recommendation banners to match your website.

Once the recommendation models are selected and agreed upon, we provide a JavaScript code snippet and an HTML tag that need to be added to your website. From that point, our team handles the customization of recommendation widgets to align with your website’s design.

The full implementation, including design adjustments, testing, and optimization is typically completed within a few weeks up to a couple of months, depending on the scope and complexity of the setup. The overall timeline may vary depending on how quickly feedback and approvals are provided.

After the banners are prepared, you will be asked to provide IP addresses for which the recommendation widgets should be visible before final approval (for testing purposes). We will then ask you to review them visually across different devices. Based on your feedback, we will implement any necessary adjustments.

Once the final version is approved, the IP restriction is removed, and the recommendation widgets become publicly available to all visitors.

AI Recommendations performance reports and analysis can be obtained on demand at any time (or requested to be provided periodically) by contacting our Customer Success Team.