E-commerce Use Cases/Retention & LoyaltyMarketing Manager

Do win-back emails sent to customers who lapsed 90-120 days ago achieve open rates above 18% vs below 8% for those lapsed over 365 days?

Optimize win-back email timing by analyzing engagement rates across different customer dormancy periods.

Metrics & KPIs

Open rate by lapse bucketclick ratewin-back conversion rate

Required Data

Win-back email sendsopen ratesdays since last purchaserevenue attributed

Data Sources

Marketing PlatformCRME-commerce Platform

Works with tools like

KlaviyoMailchimpOmnisendBrevoAttentiveSalesforceHubSpotKustomerGorgiasZendeskShopifyWooCommerceMagentoBigCommerceSalesforce Commerce Cloud

How Bruin answers this

Bruin

Bruin AI Data Analyst

Do win-back emails sent to customers who lapsed 90-120 days ago achieve open rates above 18% vs below 8% for those lapsed over 365 days?

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

It tracks Open rate by lapse bucket, click rate, win-back 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

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