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Recover Carts with Email

本课程是 Campaign Execution, SEO & Social Media at Scale 专项课程的一部分

位教师：LearningMate

包含在中

了解更多

1个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

1个模块

深入了解一个主题并学习基础知识。

中级等级

推荐体验

2 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Design, build, and optimize a multi-touch abandoned cart email automation to recover lost sales, A/B test subject lines, and increase revenue.

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了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Campaign Execution, SEO & Social Media at Scale 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有1个模块

Turn abandoned carts into revenue with Recover Carts with Email, an intermediate course for marketers ready to master one of e-commerce’s most profitable automations. Go beyond basic email blasts and learn to strategically recover lost sales. This course will guide you through designing, building, and optimizing a sophisticated four-touch abandoned cart sequence using a leading platform like Klaviyo.

You will learn to A/B test subject lines with precision, turning your emails into a powerful lab for conversion. Through hands-on practice with real-world scenarios inspired by top brands like Adidas and Casper, you'll dive into campaign reports to analyze the metrics that matter: open, click, and recovery rates. The goal isn't just to send emails; it's to make data-driven decisions. You’ll learn to interpret performance data to iterate on your strategy, tweaking preview text and content to achieve a measurable 5% lift in cart recovery. By the end of this course, you will have a complete framework for deploying and refining an automated system that directly boosts the bottom line.

单元详情

This module provides a complete guide to turning abandoned carts into recovered revenue. Learners will discover why abandoned cart flows are a critical e-commerce strategy and what components define a successful, multi-touch sequence. They will then get a step-by-step walkthrough of how to build the automation, A/B test subject lines for maximum impact, and analyze campaign reports. The module culminates in hands-on application and a final project where learners use real-world data to analyze performance and design an optimization plan to measurably improve the recovery rate.