Getting your product recommendations set up is key to creating a personalized experience for your shoppers. In this guide, we’ll walk you through the simple steps to link quiz answers to specific products from your shop, helping you boost engagement and sales. Let’s dive in!
1. Go to the Recommenda app in your Store Dashboard and edit the quiz for which you want to set up product recommendations.
2. Navigate to the Products tab.
3. In the Products section of your quiz, you can create personalized product recommendations based on user responses. This is done through two key options: Select Product(s) and Exclude Product(s) for each answer choice. Here’s how these features work:
Select Product(s) #
For each answer you create in your quiz, you can choose specific products that you want to recommend to users. When a user selects a particular answer, they will see the products you’ve linked to that choice. For example, if you ask the question:
“Are you tolerant to lactose?”
You can set the following answer choices:
No: Exclude dairy milk and select lactose-free milk as recommendations.
Yes: Select products such as almond milk and oat milk as recommendations.
Exclude Product(s) #
You may want to ensure that certain products are not shown when users select specific answers. This is where the Exclude Product(s) feature comes into play. By excluding products, you can prevent mismatched recommendations that could confuse users.
Continuing with the example:
If a user answers “Yes” to the lactose intolerance question, you could exclude regular dairy milk from the recommendations to avoid suggesting a product they can’t have.
Using Tags #
Tags are a powerful tool that allows you to include or exclude multiple products at once based on shared characteristics. When you use tags, you can build your recommendations without having to select individual products. Here’s how it works:
In the tag section on your product page, you can create specific tags for your products, such as “milk” for all milk types.
When setting up your quiz recommendations, you can simply mention the relevant tag instead of selecting each product individually. For example, after the user answers the lactose intolerance question, if you have a “milk” tag, you can include or exclude all products tagged with “milk” in one action.
This makes it much easier to manage large inventories and ensure that the right products are shown or hidden based on user responses.
