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.
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.
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.
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.
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.
See Pricing Plans — transparent pricing — start small, scale as you grow.
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.