Real-Time Personalization at Scale
Replace static websites and rules-based personalization with real-time experiences that adapt to user context, intent, lifecycle stage, and behavior.
One recommendation brain for your store
Stop running five different engines. Use one place to define how products are suggested everywhere.
Connected catalog and behavior
Sync Shopify, product catalog, orders, and web/app browsing so every strategy sees real products.
Unified product and customer view
See attributes like category, tags, price, stock, plus shopper views, skips, and purchases.
Centralize recommendation strategy
Configure "also bought," "complete the look," "similar items" once and reuse across pages.
Personalized discovery across the site
Turn landing pages, PDPs, navigation, and on-site blocks into live merchandising, not static grids.
Dynamic landing pages
Rebuild landing pages around the campaign with product blocks filtered by shared recommendation strategy.
Context-aware experiences
Adjust suggestions based on stock, loyalty position, and price sensitivity automatically.
Adaptive navigation and placements
Surface "restocked favorites," "trending in your size," or category shortcuts.
AOV you can test and measure
See which strategies really move the needle and refine how your recommendations think.
Strategy-level experimentation
Test cross-sell, lookalike, margin-focused strategies and compare impact on clicks and AOV.
Placement and channel analytics
Measure how PDP, cart, landing pages, email blocks affect order value and upsell rate.
Smarter revenue, fewer discounts
Identify where relevant add-ons replace blanket promotions for revenue without coupons.
Unlock advanced personalization tactics
Explore a curated library of proven recommendation and AOV playbooks for online stores. Filter by goal—cross-sell, upsell, bundle strategies—to discover tactics that boost average order value.
Frequently Asked Questions
Everything you need to know about personalization and AOV optimization
Intempt uses real-time browsing behavior, purchase history, and product affinity signals to serve relevant recommendations across your site, emails, and SMS—not just static bestseller lists.
Yes. The same recommendation strategies power your website, email blocks, and SMS links, so customers see consistent, personalized suggestions everywhere.
Intempt automatically swaps out-of-stock items for available alternatives based on your configured fallback rules—no manual intervention required.
Shopify's built-in recommendations are limited to basic 'also bought' logic. Intempt lets you configure cross-sell, lookalike, margin-focused, and bundle strategies with full control and testing.
Most teams see measurable AOV lift within 2-4 weeks of deploying personalized recommendations and cross-sell strategies across key placements.
Ready to grow AOV with smarter recommendations?
Let Blu orchestrate your product discovery across every touchpoint.