ecommerce_ops · ecommerce · workflow
SmartBuyGlasses grows click-through rates 20% with Algolia Search and Personalization
SmartBuyGlasses' in-house search solution was not achieving the required speed or accuracy to improve customer service, limiting discovery quality and making continuous UX improvement difficult.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Customer browses or searches site
Customers interact with SmartBuyGlasses' website to purchase prescription lenses, designer eyewear, or contact lenses.
Tools used
Algolia SearchPersonalizationDynamic Re-RankingRecommendA/B Testing
Outcome
Algolia improved search speed and accuracy, resulting in a 20% increase in click-through rates and a 10% reduction in no-click rates, while enabling continuous search improvement through A/B Testing and Analytics.
Results
Volume20%
Running since2015
Grounding & classification
Source type: vendor customer story
24 fields verified against source quotes.
enterprise searchpersonalizationrecommendation systemproduct catalogmetric backednamed customerproduction runtime claimedtools describedworkflow describedecommerceretailconversion increasecustomer satisfactionvendor customer storyecommerce ops