Hope you are experiencing a smooth and easy start with Recom.ai.

If not – please get in touch with us immediately! Our customer support team is ready to rock whenever you need them.

Back to the point, though. Last time we ran through a quick drill on how to add a simple rule to recommend your customers products other buyers purchased together with the one now presented on the site page.

It was a simple single-condition setup you can fresh-up here.

Now it’s time to move on to something more targeted. As mentioned in the previous entry post, Recom.ai is a comprehensive system with numerous options and configs to aid you with nearly any smart sales strategy you can imagine.

Before we get deeper into the configs, I’d suggest a quick overview of inventory structure typical to any Shopify store.

To group products and manage them more effectively Shopify system uses Collections, Product Types, Tags, SKU and other attributes. These are the main beacons that help you keep your stock structure organized.

Recom.ai also uses all these to define the right recommendations and bring them up with the right trigger-product (the one the customer is looking at right now).

While collection is a rather general attribute, tags are something we recommend using to narrow the results to very specific items or products groups.

Here’s a perfect example of excellent Tag management.

An old client of ours sells wear for kids and they use features to add and exclude specific tags to deliver most relevant recommendations to their customers.

Let’s take one of their rules as a case-study for tag-based :

This one targets products for boys ages 4 to 7. The merchant uses tag “4-7 Boys” to group them up.

As you can see, this rule will only work when a customer visits a page with some product tagged with “4-7 Boys”.

Now proceeding to define conditions for products which will show up as recommendations. The combination below states that the recommended items should have tag “4-7 Boys”, but should not have tags “Sets”, “Swimwear” or “Loungewear” and also items with tags “00” or “0319”.

Once the name of the rule is set, save it and proceed to your store’s frontend to check:

Quick, simple and effective, right?

Like the post or have questions? – Please give us a chance to hear you at anton@exto.io