Ecommerce ops · Production

SmartBuyGlasses grows click-through rates 20% with Algolia Search and Personalization

The problem

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.

Workflow diagram · grounded in source
1
Customer browses or searches site
trigger
“The company's website provides an interactive and personalized alternative to purchasing prescription lenses, designer eyewear, and contact lenses”
2
Algolia delivers accurate personalized search
ai_action
“Algolia helps us with the accuracy of our search results, both by default for all our visitors and also, more specifically, for engaged customers with personalization features”
3
Recommend-powered product suggestions
output
“Recommend-powered suggested products”
4
A/B Testing tracks UX and revenue impact
feedback_loop
“Algolia A/B Testing is helping the company track the user experience and revenue impact of key changes it makes, empowering the management team to make better informed, data-driven decisions”
5
Analytics surface continuous improvement insights
feedback_loop
“Algolia's analytics provides insights that help the Digital team identify opportunities to continually improve the search experience on SmartBuyGlasses websites and provide users with fast and relevant answers”
Reported 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.

Reported metrics
Click-through rate increase20%
No-click rate reduction10%
Customer experienceImproved customer experience
Search speed and accuracysignificantly improved the accuracy and speed
Reported stack
Algolia SearchPersonalizationDynamic Re-RankingRecommendA/B Testing
Source
https://www.algolia.com/customers/smartbuyglasses
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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.

What tools did this team use?

Algolia Search, Personalization, Dynamic Re-Ranking, Recommend, A/B Testing.

What results were reported?

Click-through rate increase: 20%; No-click rate reduction: 10%; Customer experience: Improved customer experience; Search speed and accuracy: significantly improved the accuracy and speed (source-reported, not independently verified).

How is this ecommerce ops AI workflow structured?

Customer browses or searches site → Algolia delivers accurate personalized search → Recommend-powered product suggestions → A/B Testing tracks UX and revenue impact → Analytics surface continuous improvement insights.

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