Easy Digital Downloads Recommended Products Addon
With the help of a few simple checkboxes, Recommended Products for Easy Digital Downloads gives you the ability to display a cross-sell of recommended products while watching downloads or the checkout screen. These are not “related products,” but rather products that have been hand-picked by your business based on its historical sales. The recommendations are updated with the day’s purchases each night. This happens once a day. You also have the option to run the update script directly by accessing the Easy Digital Downloads Extensions Settings page.
Features
- Fully Templatable – Dislike any of the pre-installed templates? It’s fine, just drop your template into the edd_templates subdirectory of the theme you’re using, and you’ll be able to customize the look of your own recommendations pod.
- Integrates with Easy Digital Downloads Settings – There are no new configuration pages to master. Simply go to the website where settings are located and select the “Extensions” tab.
- Imports pre-existing sales – It’s perfectly fine if you’ve been making use of Easy Digital Downloads for some time now. Once activated, Recommended Products will analyze your previous purchases to determine which products would be recommended for you to purchase.
- Restrict to only paid items – You can delete any products that are free of charge from the recommendations pod by going into the settings for your account.
- User Specific Capabilities – If you give the function that generates recommendations a user ID, it will delete from the recommendations any products that the user has already purchased from the store.
- Cart Integration – When a person already has an item in their shopping cart, that item will be removed from the list of recommended purchases.
- Detailed Logging – The reports section of Easy Digital Downloads allows users to view information regarding the acquisition of any item that was based on a recommendation. You can visualize how well your recommendations are converting by filtering by the source and the object that was purchased.
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