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eCommerce Manager

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April 13, 2024 Updated April 22, 2025 14 minute read

Understanding the Role of an eCommerce Manager

An eCommerce Manager plays a pivotal role in the online retail world. They are the strategists and overseers responsible for the performance and operations of an online store or digital marketplace presence. This involves managing everything from the website's user experience and technical functionality to the digital marketing efforts driving traffic and sales. Think of them as the captain steering the ship of an online business through the vast ocean of digital commerce.

Working as an eCommerce Manager can be dynamic and rewarding. You'll often find yourself at the intersection of technology, marketing, sales, and customer service, orchestrating various elements to achieve business goals. The role often involves analyzing data to understand customer behavior, optimizing the online store for better performance, and developing creative strategies to boost sales and brand presence in a competitive digital landscape.

What Does an eCommerce Manager Do?

The responsibilities of an eCommerce Manager are broad and multifaceted, adapting to the size and specific needs of the business. They are central figures in driving the success of online sales channels.

Overseeing Online Store Operations

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Salaries for eCommerce Manager

City
Median
New York
$127,000
San Francisco
$123,000
Seattle
$153,000
See all salaries
City
Median
New York
$127,000
San Francisco
$123,000
Seattle
$153,000
Austin
$148,000
Toronto
$95,000
London
£95,000
Paris
€55,000
Berlin
€71,000
Tel Aviv
₪52,800
Singapore
S$140,000
Beijing
¥145,000
Shanghai
¥505,000
Shenzhen
¥140,000
Bengalaru
₹1,056,000
Delhi
₹954,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to eCommerce Manager

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We've curated 24 courses to help you on your path to eCommerce Manager. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

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Provides a comprehensive guide to campaign optimization in digital marketing, covering topics such as data analysis, segmentation, testing, and attribution. It is written by Avinash Kaushik, a leading expert in digital marketing and analytics.
Comprehensive guide to web design, covering everything from the basics of HTML and CSS to more advanced topics like JavaScript and jQuery. It great resource for anyone who wants to learn how to create beautiful and functional websites.
Comprehensive guide to web design, covering everything from the basics of HTML and CSS to more advanced topics like responsive design and user experience. It great resource for anyone who wants to learn how to create beautiful and functional websites.
Provides a comprehensive guide to advanced campaign optimization, covering topics such as data analysis, segmentation, testing, and attribution. It is written by Brad Geddes, a leading expert in digital marketing and analytics.
Great resource for anyone who wants to learn how to create websites that are adaptive and work well on all devices. It covers everything from the basics of responsive design to more advanced topics like adaptive images and adaptive typography.
Provides a practical guide to campaign optimization for paid search, covering topics such as data analysis, segmentation, testing, and attribution.
Classic in the field of web design, and it is still one of the best resources available on the topic of usability. It great read for anyone who wants to learn how to create websites that are easy to use and navigate.
Classic in the field of web design, and it is still one of the best resources available on the topic of web standards. It great read for anyone who wants to learn how to create websites that are semantic and accessible.
Great resource for developers who want to learn how to create beautiful and functional websites. It covers everything from the basics of HTML and CSS to more advanced topics like JavaScript and PHP.
Provides a practical guide to campaign optimization for display advertising, covering topics such as data analysis, segmentation, testing, and attribution.
Provides a practical guide to campaign optimization for email marketing, covering topics such as data analysis, segmentation, testing, and attribution.
Provides a practical guide to campaign optimization for content marketing, covering topics such as data analysis, segmentation, testing, and attribution.
Provides a step-by-step guide to campaign optimization for social media, covering topics such as data analysis, segmentation, testing, and attribution.
Concise and easy-to-read guide to web design. It covers everything from the basics of HTML and CSS to more advanced topics like web typography and web performance.
Collection of essays from some of the world's leading web designers. It great resource for anyone who wants to learn about the latest trends in web design.
While not specific to multivariate testing, this book provides a valuable overview of how to identify and validate business ideas that could potentially benefit from A/B testing in the future.
If you're interested in Bayesian methods, this book provides a comprehensive overview of Bayesian statistics, including how to apply it to multivariate testing. The authors have extensive experience in Bayesian analysis and provide clear explanations and examples.
While not specific to multivariate testing, this book provides a comprehensive overview of website optimization, including how to improve conversion rates and user experience. Many of the techniques discussed in this book can be applied to multivariate testing.
Is more geared toward beginner-level marketers looking to grasp the basics of campaign optimization. It focuses heavily on creating high-impact landing pages, crafting effective calls to action, and optimizing for mobile.
While not specific to multivariate testing, this book provides insights into how cognitive biases can lead to poor decision-making in business. This is important for companies that are considering using multivariate testing to improve their results.
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