Need help?

Can't find what you are looking for? Try with one of these:

Product Recommendations

Basic Plan Pro Plan Enterprise Plan

You can use personalized product recommendations to encourage cross-selling and upselling within your store.

To recommend the most relevant products, Doofinder's recommendation model and algorithms are based on actual customer behavior. For this purpose, an artificial intelligence machine learning model is used, which dynamically learns what users visit together.

Product recommendations can be used for home and product pages. In order to collect data on customer behaviour it is necessary to have the widget script on the store pages. The recommendation model displays individual product recommendations based on products previously viewed by users with similar behavior through browsing and searching.

When you activate recommendations for the first time, the system will start learning from users' behavior. Once it has enough data collected, the recommendations will start to become even better and more personalized for the user. If during the first week the data collected has not been sufficient to generate the model, the task will be re-launched 7 days later.

📌 Note: It takes at least 7 days for the recommendations to have enough data to generate the model. In some cases, this period can be longer.

Recommendations screen

For customers visiting your store for the first time, Doofinder recommends globally attractive products on the home page and similar product recommendations for the product pages.

Once the widget is running on the website, and as long as the model has not been generated because not enough data on user behaviour has been collected, the products that appear on the Home page will be the most clicked, and those that appear on the product pages, the most similar.

📌 Note: The model is updated every week.


💡 Tip: Product Recommendations are not the same as the Query for recommended products used in the initial screen of your search. Find more information on Query for recommended products here.

How to activate Product Recommendations

To activate this feature, go to your Admin > Search Engines > Recommendations. Simply copy and paste the JavaScript code from the box into the corresponding area within your HTML code where you want the recommended products to be displayed:

Activate product recommendations

You can enable/disable the Recommendations, without removing the JavaScript from your code, by checking the ‘Status’ box.

Also, indicate the number of products you want to show in the carousel. By default, 10 recommended products are displayed. You can increase or decrease this number to suit your needs.

Add currency

If for some reason your currency symbol or format is missing, you can add it to the recommendation script as follows:

<df-recommendations
  hashid="aeb873e432c45219ebf63b36c78811f0"
  total-products="10"
  region="us1"
  currency-symbol="₲"
  currency-format="%v %s"
></df-recommendations>

Symbol:currency-symbol="₲"

Format:currency-format="%v %s"

(%v = currency value)/(%s = currency symbol)

You can choose whether to type the symbol or value first and leave a space or not. For example:

100 € will be %v %S

$100 will be %s%v (no space between)