E-commerce Use Cases/Retention & LoyaltyData Analyst

How many customers who purchased at least 3 times in the last year have not made a purchase in the last 90 days and are predicted to churn?

Identify previously active customers showing churn signals to trigger targeted win-back campaigns.

Metrics & KPIs

At-risk customer countpredicted churn probabilityhistorical CLV at risk

Required Data

Customer purchase historyrecency datachurn prediction model scores

Data Sources

CRME-commerce PlatformData Warehouse

Works with tools like

SalesforceHubSpotKustomerGorgiasZendeskShopifyWooCommerceMagentoBigCommerceSalesforce Commerce CloudSnowflakeBigQueryRedshiftDatabricksClickHouse

How Bruin answers this

Bruin

Bruin AI Data Analyst

How many customers who purchased at least 3 times in the last year have not made a purchase in the last 90 days and are predicted to churn?

Bruin connects to your CRM, E-commerce Platform, Data Warehouse and runs the analysis automatically.

It tracks At-risk customer count, predicted churn probability, historical CLV at risk 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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