What the Liva 7 Personalisation Engine does
A real-time engine that adapts your storefront to every visitor
Overview
The Liva 7 personalisation engine is designed to make your Shopify storefront feel tailored to each shopper - without requiring manual setup or segmentation. It uses real-time data, AI-powered logic, and dynamic content blocks to deliver relevant product recommendations, messaging, and layout adjustments based on each visitor's behaviour and context.
Core functions of the engine
- Real-time behaviour tracking
Liva 7 monitors what each visitor views, clicks, adds to cart, and purchases - even if they're anonymous. This data is used instantly to adjust recommendations and content. - Product relationship mapping
The engine analyses your catalog to understand how products relate to each other. It uses tags, collections, vendors, pricing, and co-purchase patterns to build smart associations. - Dynamic content delivery
Based on the visitor's session, Liva 7 updates blocks like: 'Recently Viewed', 'Inspired by Your Browsing', 'Frequently Bought Together', 'Smart Mix' (a blend of trending, personalised, and high-converting items) - Context-aware placement
Recommendations change depending on where the shopper is in their journey: Homepage: discovery and re-engagement, Product page: upsells and alternatives. Cart: add-ons and bundles, Search: relevance boosters
What makes it different
- No manual segmentation required
You don't need to create customer groups or rules to get started. Liva 7 adapts automatically based on behaviour. - Fast activation
Personalisation begins within minutes of installation and block placement. Most strategies work immediately, even with limited data. - Privacy-first design
Liva 7 does not use third-party cookies or external tracking. All personalisation is based on your store's own data. - Flexible control
You can exclude products, adjust strategies, and set targeting rules to fine-tune how the engine behaves.
Key takeaways
The personalisation engine helps you:
- Increase conversion rates by showing the right products at the right time
- Boost average order value with smart bundles and upsells
- Reduce bounce by engaging shoppers early and often
- Deliver a storefront experience that feels tailored and thoughtful
