Store-level product recommendation rules


By using store-level rules, you can set global filters for your recommendations. This is useful to:

  • Avoid duplicating boilerplate rules on all recommendations, such as stock, availability, etc.
  • Set rules for machine learning-powered recommendations.
  • Deal with variant flooding.
    To learn more about variants, check out Recommending variants or parents


When you set store-level rules, all product recommendations for that catalog inherit them. This includes machine learning-powered predictive recommendations.

See also

Did you find this article helpful?

Can we help?

Thanks for using Engagement Cloud. If you need more help or support, then contact our support team.