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  1. KEEP
  2. Theses and Dissertations
  3. Barrett, The Honors College Thesis/Creative Project Collection
  4. E-Commerce Giants: Why Businesses Fail Without Data-Driven Marketing
  5. Full metadata

E-Commerce Giants: Why Businesses Fail Without Data-Driven Marketing

Full metadata

Title
E-Commerce Giants: Why Businesses Fail Without Data-Driven Marketing
Description
As a Marketing and Business Data Analytics student, it has become increasingly apparent through coursework and professional experiences that the landscape of e-commerce and data-driven marketing is changing. Many companies flounder and are barely keeping up with the fast-developing world of e-commerce, while others are thriving and becoming “E-Commerce Giants”. What do they do that make them successful?
Through research from case studies and professional interviews, it can be shown that those who fail and become victim to the e-commerce giants are those who do not allocate enough budget and resources to allow e-commerce to succeed; they do not correctly utilize data throughout the creation of their e-commerce site nor their marketing, have a vast lack of knowledge, and ultimately do not adapt to trends in e-commerce.
E-commerce giants are those who lead in the world-wide e-commerce revolution. They have entered a market and have caused/are continuing to cause instability for those who have not adapted or changed. These e-commerce giants do not have to be “giant” in size; rather, they are making giant changes that allow them to be successful within the industry. They are the prime examples of how e-commerce and data-driven marketing can be successful.
My research shows in order to successfully practice e-commerce, companies must adapt the best practices shown by these giants: owning your data, developing a strong budget for data-driven marketing, investing in the technology and people needed to implement a sound strategy, training employees in basic data, utilizing data in all aspects of marketing, creating an easy online experience that using AB Testing, hosting post mortem meetings to identify successes and failures, understanding your customers, creating the appropriate customer segmentation, nixing the “one fits all” strategy, and never getting too comfortable. If a company is stagnant, they are behind.
Date Created
2019-05
Contributors
  • Sirois, Natalie Rose (Author)
  • Giles, Charles (Thesis director)
  • Fette, Donald (Committee member)
  • Department of Marketing (Contributor)
  • Department of Information Systems (Contributor)
  • Barrett, The Honors College (Contributor)
Topical Subject
  • Marketing
  • E-Commerce
  • Business Data Analytics
  • data-driven marketing
Resource Type
Text
Extent
76 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Barrett, The Honors College Thesis/Creative Project Collection
Series
Academic Year 2018-2019
Handle
https://hdl.handle.net/2286/R.I.52963
Level of coding
minimal
Cataloging Standards
asu1
System Created
  • 2019-04-20 12:05:51
System Modified
  • 2021-08-11 04:09:57
  •     
  • 2 years 3 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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