In Fashion:
Surface the styles trending this week—pieces with rising views and sales velocity—so shoppers always land on what’s popular and in-season right now.
Recommendation Algorithms
Trending & Popular Right Now — Recommendation Algorithm
The "Trending Now" algorithm surfaces products gaining momentum right now—based on recent views, sales velocity, and rising demand—so every visitor sees what's hot and popular in real time.
Start Free TrialTrending & Popular Right Now — Industry Examples
In Toys:
Show the toys gaining momentum this season—top-selling and most-viewed items—helping shoppers discover what’s popular before they even search.
In Electronics:
Highlight the devices and accessories spiking in demand right now, guiding shoppers toward the most popular, fast-moving products in your catalog.
In Travel:
Feature the destinations and stays trending this month—rising in bookings and searches—to inspire travelers with what everyone’s booking now.
In this story
How “Trending Now” recommendations work across your store.
This algorithm surfaces products gaining momentum in real time — by recent views, sales velocity, and rising demand — across the homepage, listing pages, follow-up emails, and on-site sliders.
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Trending & Popular Right Now…
This e-commerce recommendation algorithm surfaces the products gaining momentum right now — by recent views, sales velocity, and rising demand — so every shopper sees what’s hot.
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Trending Products on Listing & Category Pages
Use this algorithm to display trending and most-popular products with Product Bundling on category or listing pages for each visitor. Learn more about Personyze’s recommendation engine algorithms for e-commerce.
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Trending Now on Product Pages
ElectronicsWebsite example
FashionWebsite example
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Trending Products in Follow-Up Emails
When a visitor has recently purchased an item, you can follow up with an email containing cross-sale recommendations — items that other customers frequently bought together with that product. This encourages return visits and repeat purchases.
Example: an email sent two hours after purchase shows complementary products. Learn more about automated, personalized, and targeted emails.
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Popular Items in Transactional Emails
Cross-sale recommendations can be added to any transactional message such as purchase confirmations, verification emails, or existing templates — without coding or IT integration. Learn more about adding email recommendations to transactional campaigns.
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Cross-Sale Slider on Mobile & Desktop
A responsive cross-sale slider showcases items that were frequently bought by customers who also bought the current item.
MobileScreen
DesktopScreen
Demo — “Customers Who Bought This Item Also Bought” cross-sale algorithm examples across product pages and emails.
Leverage the power of
An AI-powered recommendation & personalization engine.
Harness AI to show each visitor exactly what they are most likely to be interested in. Choose from algorithms for anonymous visitors on the homepage, “buy-it-together” on product pages, algorithms specifically for emails, items on sale from the visitor’s wishlist, or “Buy It Again” for repeat purchases. Build strategies that perform best for your store.