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A Competitive Analysis of Reviews for Graduate-Hotels

In this Project, we consulted Graduate Hotels, found customer pain points, and created a machine learning model to help them improve their competitive position?

Process:

  • Scraping and pre-processing 2-3K Tweets from the last year
  • Investigating Sentiment on Graduate Hotels from these Tweets
  • Categorizing data by relevant topics
  • Analyzing topic-specific sentiments and trends

What is a real problem to Graduate Hotels?

  • Lack of returning customers?
  • Under-booked weeknights and overbooked weekends?
  • No loyal customers that visit multiple locations?
  • Creating a competitive advantage over their competitors?

What works well and what does not for Graduate Hotels?

  • Everywhere? Some places?
  • Are there best and worst practices?

Have things changed over time?

  • What changed and why is that important?
  • Pre, during and post the peak of the pandemic?
  • What are the trends?

Key Takeaway

  • While maintaining your competitive advantage of experience and location, give acute attention to room quality standards and public relations.

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