E-commerce Use Cases/Product & CatalogE-commerce Manager

Which product filters (size, color, price range, brand) are used most frequently, and do sessions using filters convert at more than 2x the rate of non-filter sessions?

Analyze filter usage patterns to prioritize filter UX improvements and ensure high-value filters are prominent.

Metrics & KPIs

Filter usage frequencyconversion rate with filtersfilter abandonment rate

Required Data

Filter interaction eventssession dataconversion events

Data Sources

AnalyticsSearch & PersonalizationE-commerce Platform

Works with tools like

Google AnalyticsMixpanelAmplitudeHeapHotjarAlgoliaNostoDynamic YieldBloomreachKlevuShopifyWooCommerceMagentoBigCommerceSalesforce Commerce Cloud

How Bruin answers this

Bruin

Bruin AI Data Analyst

Which product filters (size, color, price range, brand) are used most frequently, and do sessions using filters convert at more than 2x the rate of non-filter sessions?

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

It tracks Filter usage frequency, conversion rate with filters, filter abandonment 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

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