• Pinball Preparedness

  Product recommendations

  Posted by Choi45 on January 2, 2025 at 10:23 am

  On-page recommendations increase average order value and impact key metrics such as reach and average customer retention.

  • 49% of shoppers order after reading personalised recommendations, even if they weren’t planning to buy anything.

  • 52% of consumers are willing to share personal information in exchange for recommendations from a retailer.

  • 54% of retailers believe that recommendations have a direct impact on the average order value.

  • 35% of sales on Amazon are products promoted on the platform based on recommendations.

  Recommendation Systems
  Referral systems are widely used by e-commerce platforms such as Shopify, WooCommerce, Magento. Built-in CRM systems and Google Analytics allow you to track and analyse user actions, behaviour and preferences. Machine learning algorithms perform collaborative and content-based filtering of purchase history and products viewed, suggesting products relevant to queries and searches. Segmentation based on characteristics, behaviours and interests enables personalised and grouped offers.

  Halla Systems: from simple to intelligent recommendationsRecommendations can be made both online, for example when adding products to the shopping basket, and directly by calling the customer to clarify the details of the order.

  • This discussion was modified 5 days, 12 hours ago by  Choi45.

  Choi45 replied 5 days, 12 hours ago 1 Member · 0 Replies
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