Blue Apron case study (panel, network)

blue apron logo

Blue Apron Influencer Marketing (panel, network)

Set in 2022, the Blue Apron case is structured to help students take a deep dive into the data about Instagram influencers and their posts. Students are asked to provide recommendations to improve the influencer marketing programs for the company, and to explore whether and how to use the contents and ideas contained in influencers’ posts to enhance the company’s cross-channel marketing efforts. The data can also help students identify the types of influencers the company should approach for establishing sponsorships and partnerships. Students will learn to apply the following analytic tools: Excel pivot tables, regression, panel data regression, and network analysis. Optionally, the data can also be used for exploring text analysis.

In this video, Professor Arvind Rangaswamy gives an introduction to the Blue Apron case.

Additional videos on the Blue Apron case and the Network model can be found in our Instructor Video Library.

Managerially complex
80%

A case study is deemed managerially complex when its solution is ambiguous, unclear, or requires extensive judgment calls; it is best suited for advanced students or executive education settings.

Technically complex
90%

A case study is deemed technically complex when its solution requires extensive data manipulation, or when it requires to juggle with more than one marketing model.

Recent
90%

Some case studies depict historical problems taking place decades ago. While graduate students and executive education participants have no problem with these cases, undergraduate students might find them dated.

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  • You can purchase each case study individually, or as part of a package.
  • Each case study contains a data set, a case problem (pdf), and a case solution (pdf). The pdf files available on the main case study page linked above. Lookout for these links:
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Mobile Game Apps case study (panel, sentiment)

Mobile Games case logo

Mobile Games (sentiment analysis)

Set in 2014, Mobile Apps is a case about the mobile app games market.  It requires the application of Excel’s Pivot Tables, Text and Sentiment analysis, and Panel Regression to determine whether a new game app is likely to be successful (profitable), what features (type of game, whether it should be a paid or free app) should be incorporated into the game, and the nature of keywords that could be used in a paid search campaign promoting the app.

Managerially complex
70%

A case study is deemed managerially complex when its solution is ambiguous, unclear, or requires extensive judgment calls; it is best suited for advanced students or executive education settings.

Technically complex
90%

A case study is deemed technically complex when its solution requires extensive data manipulation, or when it requires to juggle with more than one marketing model.

Recent
80%

Some case studies depict historical problems taking place decades ago. While graduate students and executive education participants have no problem with these cases, undergraduate students might find them dated.

  • Registered instructors can freely evaluate all Enginius case studies. Register here.
  • You can purchase each case study individually, or as part of a package.
  • Each case study contains a data set, a case problem (pdf), and a case solution (pdf). The pdf files available on the main case study page linked above. Lookout for these links:
case_study_link

ABCDEmail: search engine analytics case study (panel)

ABCDEmail: search engine analytics (panel)

Set in 2016-17, the case involves an email marketing company (anonymized) that used paid search campaigns and tracked keyword performance over a one-year period to understand how different keywords influenced impressions, clickthroughs, and sales.  The analyses using Excel’s Pivot Tables and Panel Regression of a large data set helps in articulating tactical and strategic changes to the company’s paid search campaign for the next year.

Note: Registered instructors may access additional case resources on this page by logging in to the website.

Managerially complex
50%

A case study is deemed managerially complex when its solution is ambiguous, unclear, or requires extensive judgment calls; it is best suited for advanced students or executive education settings.

Technically complex
100%

A case study is deemed technically complex when its solution requires extensive data manipulation, or when it requires to juggle with more than one marketing model.

Recent
80%

Some case studies depict historical problems taking place decades ago. While graduate students and executive education participants have no problem with these cases, undergraduate students might find them dated.

  • Registered instructors can freely evaluate all Enginius case studies. Register here.
  • You can purchase each case study individually, or as part of a package.
  • Each case study contains a data set, a case problem (pdf), and a case solution (pdf). The pdf files available on the main case study page linked above. Lookout for these links:
case_study_link