Product recommendations for Shopify
Help customers find their next useful product.
Choose the recommendation purpose, set product boundaries and approve the experience. Liva 7 selects eligible recommendations within the rules and context available.
A supported placement, active setup and eligible products are required. Final theme position and publication remain yours.
Choose the experience. Control the placement.
These are separate decisions. Keeping them separate makes it easier to review what can appear and where customers may see it.
The purpose
Choose what the recommendation should help a customer do, such as compare alternatives or find a companion product.
Plan useful product discoveryThe experience
Set the strategy, product pool and exclusions. Fixed or adaptive selection uses approved experiences and the available page, audience and schedule rules.
Set up recommendationsThe placement
Choose a supported Shopify app-block position and preview it. A saved experience is not the same as a published theme or a recorded shopper exposure.
Understand placement controlsIllustrative planning example
A useful companion on a product page.
You want customers viewing a desk lamp to discover compatible accessories. You choose the eligible collection, exclude unsuitable products and review available stock information.
The example explains a setup decision. It is not a customer case study, a claim of inferred buying intent or a promised sales increase.
- Define the eligible productsUse included products or collections, exclusions and pins. Stock or margin controls depend on usable catalogue and cost data.
- Review the selected experienceCheck the page and audience rules. A match means the saved conditions apply, not that Liva knows the best choice for every person.
- Preview the placementConfirm the app block, mobile layout and fallback in Shopify. Save the theme only when you are ready.
- Inspect what was deliveredUse placement status, Store health and recorded exposure to check the experience after publication.
When context is missing, keep it honest.
Personalised mode checks consent, privacy settings and available customer or session context. A configured non-personal catalogue fallback can provide a different route where supported.
No eligible products or incomplete evidence should be treated as a setup or coverage question, not silently presented as proof of successful personalisation.
Review the boundaries
Use Store intelligence to inspect available evidence, and read how data and privacy affect your store.
The recommendation guide covers setup and checks. Contact support with useful detail if the displayed state does not match your expectations.
Separate linked orders from tested improvement.
Performance can connect recorded exposure and interactions to eligible orders. Attribution depends on consent, coverage, identity joins, time windows and refund handling. Linked revenue is not automatically revenue caused by Liva 7.
A controlled test can provide stronger evidence for its specific population and period. It may remain inconclusive, and it does not promise the same result for every store.
Part of a more relevant customer experience.
Recommendations help customers discover products. Smart bundles group products for a purpose. Smart content answers a relevant question. Choose each with a clear need and a reviewable boundary.
Explore Shopify personalisationStart with the right scope
Liva 7 does not replace Shopify search, checkout or your entire merchandising system. Review pricing, placement requirements and the product FAQs before you install.