E-commerce Use Cases/Product & CatalogMerchandiser

Do visual search users browse more than 2.5 additional product categories per session compared to text search users, driving higher cross-sell potential?

Measure whether visual search drives broader product discovery by comparing category exploration depth between visual and text search user sessions.

Metrics & KPIs

Categories per session by search typecross-category click ratecross-sell conversion ratesession depth

Required Data

Search session datacategories viewed per sessionsearch type flagscross-sell events

Data Sources

Search & PersonalizationAnalyticsE-commerce Platform

Works with tools like

AlgoliaNostoDynamic YieldBloomreachKlevuGoogle AnalyticsMixpanelAmplitudeHeapHotjarShopifyWooCommerceMagentoBigCommerceSalesforce Commerce Cloud

How Bruin answers this

Bruin

Bruin AI Data Analyst

Do visual search users browse more than 2.5 additional product categories per session compared to text search users, driving higher cross-sell potential?

Bruin connects to your Search & Personalization, Analytics, E-commerce Platform and runs the analysis automatically.

It tracks Categories per session by search type, cross-category click rate, cross-sell conversion rate and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

Bruin for e-commerce

Use cases across every team in your e-commerce business, from conversion funnels to inventory, marketing to customer lifetime value. One AI that speaks your data.

C-Level/ExecutiveCategory ManagerCustomer Experience ManagerData AnalystDigital Marketing SpecialistE-commerce ManagerFinance ManagerGrowth ManagerMarketing ManagerMerchandiserOperations ManagerSupply Chain Manager

Get this answer in seconds

Connect your data, ask the question, get the answer. No SQL needed.