Enhance the effectiveness of your eCommerce newsletters and automated email campaigns by offering personalized product recommendations based on your subscribers’ browsing and purchasing behavior. The NewsMAN email marketing automation platform provides an AI-powered recommender engine that automatically populates your emails with relevant products tailored to each individual subscriber, visitor or client.
Follow these steps to send email campaigns with product recommendations based on each customer’s or potential customer’s purchase behavior:
Personalized Recommendations Product Group
The first step is to quickly set up a product group with personalized recommendations in your NewsMAN account. This is essentially an eCommerce sub-feed, and you can add it from the E-Commerce > Product Groups > Add Product Group section:
Assign a name to the product group (e.g., “Recommended Products), select the feed from which to pull the products (e.g., your main feed), then in the section “Which products should appear first?” select: “Recommended for user.”
You can also select product filters based on product name, URL, price, or product category. However, it is recommended to leave these blank until you have enough data. The AI algorithm will base its recommendations strictly on the user’s history in emails and on the website: what they’ve viewed, added to the cart, purchased, etc.
Note: If you don’t already have a product feed for newsletters, we recommend adding one. Also, ensure that the Remarketing function is enabled to make sure your eCommerce automations work properly and to track email marketing revenue directly in your account.
Email campaigns with product recommendations
Once you’ve added the recommended products group, simply edit a newsletter template to use it. Add a blank row, then drag the “Products” icon, select Add products > Choose a product group > Feeds > Recommended for user – Recommended products
You can customize the eCommerce product blocks from your account under the E-Commerce section > E-commerce Blocks.
The recommended product row will pull items from the product group, personalized based on the subscriber’s behavior on the website. The product placeholders above will be populated with items that match their preferences.
Example of a newsletter with personalized product recommendations
Example of recommended products per subscriber
Once data accumulates at the subscriber level, you can view each subscriber individually and see their orders, viewed products, purchased products, and recommended products.
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