Smart Recommender isn’t just about showing products—it’s about turning traffic into transactions. Powered by AI, it enables marketers to create highly relevant shopping experiences that drive engagement, conversions, and revenue across every digital channel.
This guide walks you through the core benefits and real-world use cases, showing how Smart Recommender can optimize every stage of your funnel.
Why marketers love Smart Recommender
Smart Recommender helps you achieve your goals more efficiently by delivering personalized shopping experiences across multiple channels.
Key benefits are:
Higher Conversion Rates: Show users what they’re most likely to buy, based on real-time behavior and preferences.
Increased AOV: Surface complementary items, bundles, and upsells that encourage bigger baskets.
Improved Customer Engagement: Keep visitors browsing longer with recommendations aligned to their current interests.
Multi-Channel Consistency: Deliver seamless personalization across web, mobile, app, email, push, and InStory.
Real-world use cases that drive results
Smart Recommender adapts to every stage of the customer journey, helping you maximize engagement and conversions.
Homepage: Attract Attention with Popular Picks
What to do: Highlight trending, most-viewed, or viral products.
Why it works: Builds trust and sparks curiosity right away.
Example: Show “Most Viewed This Week” or “Trending Right Now” to first-time visitors.
Category Page: Guide Exploration with Contextual Relevance
What to do: Narrow recommendations to match the user’s current browsing category.
Why it works: Keeps exploration focused and relevant.
Example: On a Sneakers category page, highlight new arrivals or best-selling sneakers.
Product Detail Page: Boost AOV with Complementary Items
What to do: Show items that pair naturally with the one being viewed.
Why it works: Encourages upsells and cross-sells.
Example: On a camera PDP, recommend lenses, tripods, or SD cards.
Cart Page: Prevent Drop-Off with Smart Nudges
What to do: Suggest last-minute add-ons or remind users of missed products.
Why it works: Captures value before checkout and reduces abandonment.
Example: Display accessories for items in the cart or recently viewed, but not purchased, items.
Email Campaigns: Re-Engage with Personalized Picks
What to do: Embed tailored recommendations into email campaigns.
Why it works: Brings back inactive users with handpicked-feeling suggestions.
Example: “Hi Sarah, still looking for the perfect running shoes? Here are three styles similar to the ones you checked out last week.”
Mobile App: Keep Personalization in the Pocket
What to do: Deliver InApp recommendations aligned with real-time behavior.
Why it works: Creates continuity and convenience in mobile shopping.
Example: Display “Recently Viewed” or “Based on Your Favorites” on the app home screen.
Web Push: Send Timely Product Alerts
What to do: Re-engage visitors with targeted, behavior-based Web Push notifications.
Why it works: Creates urgency and pulls users back at the right moment.
Example: Notify users of “Your next likely purchase” using a user-based algorithm.
InStory: Deliver Scroll-Stopping Experiences
What to do: Turn recommendations into interactive, swipeable stories.
Why it works: Appeals to mobile-first, visually driven audiences.
Example: Show “Top Picks for You” or holiday gift collections in story format.
Smart Recommender is more than a recommendation engine—it’s a growth accelerator that helps you personalize every touchpoint, increase conversions, and maximize customer lifetime value.