Turn complex product catalogs into dynamic, personalized recommendations across web, email, SMS, and push notifications without engineering help.
Upload your catalog and let GrowthOS do the rest. Our recommendation engine supports multiple algorithms and adapts in real time to each user’s behavior and profile.
Import thousands of SKUs with full support for category, price, inventory, brand, tags, and other attributes.
Choose from catalog-based, purchase-based, view-based, affinity-based, or similarity-based models - part of our 16+ algorithm library that covers a wide range of merchandising logics.
Serve dynamic recommendations across all channels, tailored to each user’s browsing history, purchase patterns, and profile attributes.
Deliver personalized products anywhere users interact, be it inside messages, on-site, or through triggered campaigns.
Embed real-time recommendations into any message type with drag-and-drop ease.
Drop personalized product modules directly into web and mobile experience flows.
Trigger follow-ups based on cart behavior, category views, or inventory shifts.
Track lift from product placement and recommendation logic, experiment with layouts, and compare strategies - all from one place.
View conversion impact by placement, message type, or segment.
Run A/B tests on layouts, product blocks, or logic variations in your experiences.
Connect recommendation views to downstream actions like add to cart and purchases.
Dive into a curated directory of use cases tailored to your industry. Filter by product, industry and use case to discover advanced tactics that drive growth with GrowthOS.
Transform every customer touchpoint into revenue today