1.Frenzy AI tracks each site visitor's activity, including search behavior, collections viewed, product clicks, add-to-cart actions, purchase history, time spent on each page, and scrolling patterns in addition to general location and demographic info.
2.Frenzy AI gathers millions of data points (thousands per each site visitor) to build a detailed user profile graph. This graph captures each site visitor’s unique preferences like product features, concerns, benefits, shopping occasions, price sensitivity, and much more. The data used to build these user profile graphs extends well beyond Shopify data and metafields, drawing from Frenzy's proprietary data network.
3.Every product in a Shopify store's catalog is assigned a predictive personalization score tailored to each individual visitor. The system dynamically re-sorts products based on what each visitor is most likely to purchase, applying these scores at every site touchpoint where personalization is turned on.
4.Frenzy AI employs deep learning to continually adjust these predictive personalization scores in real-time, responding to user interactions. The system is constantly fine-tuned, improving its accuracy by rewarding successful conversions and penalizing less effective outcomes.
5.Frenzy AI personalization is used in site search, collection pages, landing page, product page, cart, checkout, and post-purchase recommendations.
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