2018 Holiday Tech Shopping Respondent-level SPSS dataset

$9,800.00

The HarrisX Holiday Shopping Study explores consumer behavior, attitudes, and spending habits around technology goods and services in the 2018 Holiday Season. The respondent-level dataset contains all data points for this study, including the study questionnaire and variable explanations. The dataset has over 43,000 rows (responses) and xx columns (variables).

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Description

The HarrisX Holiday Shopping Study explores consumer behavior, attitudes, and spending habits around technology goods and services in the 2018 Holiday Season. The respondent-level dataset contains all data points for this study, including the study questionnaire and variable explanations. The dataset has over 43,000 rows (responses) and 180 columns (variables).

 

  • The HarrisX 2018 Holiday Shopping Study was conducted online within the United States from Nov. 21 to Dec. 31, 2018.
  • The study was fielded to 43,990 online respondents, with an average of 1,050 respondents per day.
  • Example study variables available for analysis:
  • Date and location (state)
  • Key demographics, e.g. gender, age, race, region, state, education, income, etc.
  • Respondent weight
  • Amount of expected total holiday spending and total holiday tech spending
  • Daily actual tech spending
  • Preferred purchase channel and purchase location
  • Actual products purchased (free-text field)
  • Reasons for not shopping on Black Friday / Cyber Monday
  • Brands covered in this study include: Amazon, Apple, Bose, Dell, Facebook, Fitbit, Google, HP, Hulu, LG, Microsoft, Motorola, Nest, Netflix, Ring, Roku, Samsung, Skullcandy, Sonos, Sony, Spotify.
  • For questions, please contact allen@harrisx.com