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Dr. Yang Wang

Marketing insights from data

  • Teaching
    • Past Courses
      • MKTG 3509 – Customer Data Analytics – Fall 2020
      • MKTG 3511 – Marketing Research
      • MKT4301 Spring 2019
      • MKT 4301 Fall 2018
      • MKT3330 – Social Media & Marketing Analytics
      • MKT3300 (Principles of Marketing) – Spring 2017
      • MKT4399 (Current Topics in Marketing) – Spring 2017
      • Marketing Analytics (MBA Fall 2017)
      • MKT3300 (Principles of Marketing) – Fall 2016
    • Python Tutorial
    • Interesting Things
  • Research
    • CV
    • GitHub
    • GIAIBA Github
    • SSRN
  • Blog
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We provide economic consulting services for clients looking to leverage their data to create new economic value. We have a history of consulting and research experience in hospitality, HR, media, and tech industries for organizations large (FT100, government) and small (startups).

Our core expertise lies in the rigorous applications of field experiments, machine learning, statistical modeling, and econometric analysis in order to deliver strategic insights and precise measurements of the causal impact of existing and potential future organizational strategies / policies. See our team bios.

For the right client and project, we can arrange a pro-bono consulting engagement in exchange for academic publication rights from the resulting collaboration and data-sharing agreement.

If you think we may be able to help you, please fill out the contact form (we will not share your information or use it for any mass marketing) or contact us directly at consulting@yangwangresearch.com.

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  • Teaching
    • Past Courses
      • MKTG 3509 – Customer Data Analytics – Fall 2020
      • MKTG 3511 – Marketing Research
      • MKT4301 Spring 2019
      • MKT 4301 Fall 2018
      • MKT3330 – Social Media & Marketing Analytics
      • MKT3300 (Principles of Marketing) – Spring 2017
      • MKT4399 (Current Topics in Marketing) – Spring 2017
      • Marketing Analytics (MBA Fall 2017)
      • MKT3300 (Principles of Marketing) – Fall 2016
    • Python Tutorial
    • Interesting Things
  • Research
    • CV
    • GitHub
    • GIAIBA Github
    • SSRN
  • Blog
  • CV
  • GitHub
  • LinkedIn
  • Data Science Meetup
  • Twitter
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