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Boost revenue with AI-driven recommendations
GrowthOS transforms how you engage customers by combining advanced AI algorithms with smart customization and dynamic targeting. Effortlessly import your product data, apply sophisticated filters, and let GrowthOS adapt real-time recommendations based on user behavior.
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Delight your customers with recommendations they’ll love 💙
Don’t just take our word for it....
+4.2%
ARPU from recommendations
+14%
CTR from email recommendations
+62%
AOV from recommendations
Ingest product data quickly and easily
Effortlessly connect your catalog to GrowthOS for real-time recommendations. GrowthOS provides a fast and simple way to import, map, and synchronize your product data across all channels.
Simple data import
Import product data in minutes using our XML and JSON wizard.
One-click Shopify sync
Seamlessly sync your catalog with GrowthOS using our native Shopify integration.
Flexible attribute mapping
Map product attributes to GrowthOS for complete control over which data points are processed and used in recommendations.
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Leverage advanced AI for high-converting recommendations
With GrowthOS’s direct Gmail integration, sending automated emails from your inbox is simple, streamlined, and optimized for high deliverability. Now, you can connect at scale without needing to open your inbox or worry about deliverability issues.Drive relevance and conversions with GrowthOS’s diverse AI algorithms and robust configuration options. Tailor recommendations to your unique use case with advanced targeting and filtering capabilities.
Diverse recommendation algorithms
Choose from high-impact algorithms like Best-selling, Newest, Most popular, Viewed Together, Purchased Together, Category Affinity, and more.
Custom configuration
Apply advanced filters, inclusion rules, and exclusions to ensure recommendations meet your specific needs—whether it’s highlighting sale items, focusing on in-stock products, or filtering by category.
Smart fallback logic
Ensure every widget is fully populated. If a primary feed doesn’t fill all widget slots, GrowthOS automatically falls back to secondary algorithms with available results to maintain a seamless recommendation experience.
Personalize recommendation placement for maximum impact
Optimize recommendations by dynamically adjusting what each customer sees, based on AI insights and behavioral targeting. GrowthOS lets you tailor recommendation slots to each user segment.
Dynamic widget targeting
Display recommendation widgets based on customer segment, showing best-sellers for new users and affinity-based suggestions for returning customers.
Leverage Audience AI for higher AOV
Fine-tune recommendation placements based on each user’s likelihood to convert or their next-best action.
Two layers of AI-powered targeting
Benefit from both AI-driven recommendations and AI-based targeting in one comprehensive system. The recommendations are powered by AI algorithms and the placement is optimized through Audience AI, selecting the most effective widget type.
Customize and deploy recommendations effortlessly
Place, style, and personalize recommendation widgets across all channels, ensuring a seamless brand experience everywhere your customers engage.
Multi-channel reach
Deploy recommendations on your website, app, and emails with both client-side and server-side options for complete customization.
Easy widget styling
Quickly match recommendation widgets to your brand’s look and feel with our no-code editor. Adjust layouts, product counts, text styles, and more—no coding needed.
Personalized email recommendations
Boost email engagement with tailored product suggestions built right into your campaigns. Use our drag-and-drop editor to create and save recommendation templates that drive conversions.
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Unlock advanced growth tactics
Dive into a curated directory of use cases tailored to your industry. Filter by product, team, and lifecycle stage to discover advanced tactics that drive growth with GrowthOS.
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You don’t need an army of marketers.
You need GrowthOS and Blu, your AI Co-Marketer.
FAQs
How do I get my product catalog into Intempt?
It's really simple. You can import via XML or JSON using the built-in wizard, or if you're on Shopify, there's a one-click sync that pulls everything in automatically. You map your product attributes (price, category, inventory, etc.) so Intempt knows what to work with, takes minutes, not days.
What recommendation algorithms are available in Intempt?
You've got a solid range of 16 algorithms: Best-selling, Newest, Most Popular, Viewed Together, Purchased Together, Category Affinity, and more. You pick what makes sense for each placement, maybe "Purchased Together" on the cart page and "Best-selling" for first-time visitors who don't have browsing history yet.
What happens if there aren't enough products to fill a recommendation widget?
Intempt handles this automatically with fallback logic. If your primary algorithm doesn't have enough results (say, a new user with no browsing history), it falls back to secondary algorithms that do have results. Your widget always looks full, no awkward empty slots.
Can I use recommendations in emails, not just on my website?
Yes. You can embed personalized product recommendations directly into email campaigns using a drag-and-drop editor. Create templates once, save them, and reuse across campaigns.
Do I need a developer to style the recommendation widgets in Intempt?
No. There's a no-code editor that lets you adjust layouts, product counts, text styles, colors, whatever you need to match your brand. You can make it look native to your site without writing CSS or waiting on a dev team.
What platforms does Intempt integrate with?
Intempt offers native integrations with popular platforms, including HubSpot, Shopify, Stripe, and more. It provides real-time data sync across your CRM, marketing, and eCommerce tools, with customizable triggers, field mappings, and data flows to fit your specific workflows.
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