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Application example

Posted: Wed Jan 22, 2025 10:14 am
by mstakh.i.mo.mi
Algorithm Type Description of operation
Behavioral Filtering User Behavior Analysis Product recommendations based on clicks.
Content-Based Filtering Matching product features to user preferences Suggestions of similar products in the product card.
AI algorithms Real-time big data analytics Dynamic changes to the offer on the home page.
Content personalization elements – from product recommendations to dynamic content
Effective personalization relies on several key elements that have a direct impact on user experience and sales results:

Product recommendations : Display products that match your preferences botim phone number data based on your purchase or search history.
Dynamic content : Content that adapts in real time to user behavior, such as promotional banners or special offers.
User segmentation : Grouping customers by preferences, demographics or behaviors to deliver more relevant marketing messages.
These elements allow you to create personalized experiences that increase engagement and conversion rates.

Real-time personalization – customization of the offer during the user session
Real-time personalization is the most advanced level of content customization in e-commerce. With AI technology, stores can analyze user behavior in real time and instantly adjust their offer. Examples of real-time personalization applications include: