Personalizing product recommendations in e-commerce

region
Europe
industry
E-commerce
80%
Increase in conversion rate
25%
Increase in average order value
35%
Decrease in the number of abandoned shopping carts

The challenge

A fast-growing e-commerce business wants to increase customer engagement.

Despite high website traffic, conversion rates are lower than expected.

Customers often abandon their shopping carts and rarely return after their first purchase.

Action

  1. Integration with iPresso.
    The store runs on a popular e-commerce platform - after integrating with the iPresso system, we begin to collect data on the behavior of website users.
    We also integrated iPresso with CRM to have a full picture of customers' purchase history and preferences.
  2. Customer segmentation.
    Creating detailed customer segments based on demographics, purchase history, and site behavior.
    Segmentation includes, but is not limited to, new vs. returning customers, high-spending customers, customers who abandon shopping carts.
    Segmentation in iPresso can address the smallest detail - and is intuitive to set up.
  3. Personalization of recommendations.
    The store issues an .xml file with product data. The data (images, prices, descriptions) is automatically pulled into the Feed Manager in iPresso.
    The data is used to personalize recommendations in emails, web push, SMS. A specific customer segment is shown specific content.
    Data from Feed Manager is also used in Recommendation Frames, which are easy to set up dynamic elements of emails, SMS and web pages. The frames clearly display the products customers are looking for.
  4. Campaign automation.
    Launch automated communication scenarios with product recommendations, abandoned cart reminders and special offers - communication channels are email, SMS, push notifications.
    A/B testing of different campaign variants to optimize content and timing of dispatches.

Results

After two months of iPresso implementation, the conversion rate increased from 2.5% to 4.5% (80% increase).

The average order value increased by 25%, thanks to relevant product recommendations.

The number of abandoned shopping carts dropped by 35% after implementing automatic reminders and personalized offers.

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