More useful product discovery
Match the approach to the shopper and storefront context.
Relevant discovery
Help each shopper find more of what fits.
Liva 7 combines product meaning, behaviour, performance and store rules to choose relevant products for supported Shopify surfaces.
Liva 7 · Relevant discoveryEvidence connected
Relevant product
Useful companion
Placement ready for review · Fallback set · Publication remains controlled
Storefront stateDesigned, placed and verified are separate states.
Liva shows which stage the experience has actually reached.
Which products should be shown, where and why?
Choose a recommendation strategy, set exclusions and fallbacks, decide where it should appear and review how the experience performs after genuine exposure.
Rules stay visible
Control exclusions, thresholds, fallbacks and placement behaviour.
Measurement that starts with exposure
Separate a rendered block from one that was genuinely shown and used.
The practical flow
A clear route from evidence to progress.
Choose
Set the recommendation goal, strategy and boundaries.
Place
Add the supported app block to the right Shopify surface.
Learn
Review valid exposure, interaction and eligible outcomes.
Useful alone. Stronger when connected.
Recommendations work with Storefront Experience, Experiments, Performance and operating memory. The result can improve the context available to later decisions.
A purchase is not automatically credited to a recommendation. Liva requires an eligible exposure and a valid attribution window before describing influence.
One connected product
See how the complete Liva 7 system works together.
Move from clearer understanding to practical action without losing the reasoning, authority or result.