This feature requires Author user level or higher and is part of paid features.
MailChimp’s Product Recommendations feature uses individual subscriber purchase data to prioritize and promote your store’s relevant products. Add recommended products to your campaigns and Automation workflows to increase revenue and encourage repeat purchases.
In this article, you’ll learn how the Product Recommendations feature works and where to view Product Recommendations data in MailChimp.
How Product Recommendations Work
After you connect your store and turn on e-commerce link tracking, purchase data will be pushed back to your account each time one of your subscribers clicks a link in your campaign and makes a purchase.
MailChimp analyzes this data to identify and rank up to 10 unique product recommendations for each of your subscribers, which you can include in a campaign or Automation workflow. A preview of five recommendations are available in your subscribers' profiles.
This feature works best with a lot of e-commerce data. Your store must maintain the following, at minimum.
- 10 products
- 50 customers
- 500 orders in the last year
If your store doesn’t meet these requirements or a subscriber hasn’t made a purchase yet, we’ll display your store’s top sellers instead.
Since product recommendations will vary from subscriber to subscriber, we recommend you view your campaigns in Preview Mode to see how your content blocks or merge tags appear for certain subscribers.
The Product Recommendations feature is available for paid users who have API 3.0 e-commerce data in their account. This includes data from custom API 3.0 integrations, as well as MailChimp for Shopify, MailChimp for Magento, and MailChimp for BigCommerce.
- To prevent MailChimp from recommending out-of-stock items, MailChimp for Shopify users should enable inventory tracking in their Shopify accounts.
- Custom API 3.0 integration users will need to include certain parameters for all Orders and Products passed over to MailChimp.
- MailChimp for Magento users will need to ensure all products added to MailChimp include a valid image URL and product variant.
What You Can Do With Product Recommendations
Product Recommendations can be viewed in your account or promoted in your campaigns. To add recommendations to a campaign or Automation workflow, use a drag and drop content block or include merge tags in a custom-coded or Classic template.
When you create a campaign with a Product Recommendation content block in our Drag and Drop Editor, you’ll choose how many products to include, as well as how the content block should look.
Our data ranks how relevant products are to a particular subscriber, where 1 is the most relevant. Use these rankings to choose the range of products to promote in your Product Recommendations content block or merge tag block.
To increase the effectiveness of campaigns that include the Product Recommendations feature, target subscribers with similar purchase histories with segments.
Tailor your promotions
You can use Product Recommendation blocks and merge tags to recommend up to 10 products in your campaigns. Tailor the number of recommendations you include to more effectively target subscribers.
For example, recommend multiple products as part of a large sale or promotion at your store, or promote a single product to a smaller segment of subscribers who share specific buyer preferences.
Encourage Repeat Buyers
Recommend relevant products to a segment of loyal customers who have made recent repeat purchases.
Target Seasonal Buyers
Combine Product Recommendations with Purchase Date segmenting criteria to alert subscribers of relevant products at times when they are most likely to purchase items from your store.
View Product Recommendations Data
Specific types of Product Recommendations data will be available in different places in your MailChimp account.
We’ll automatically include a list of up to 10 recommended products in the E-commerce tab of each subscriber’s profile page.
In the Product activity section of your campaign report, you’ll be able to view the total number of sales produced by Product Recommendations and the percentage of total revenue generated by the sale of those products.