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Social Media Impact on Shopping Trends
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About
This dataset provides an in-depth examination of the shopping habits of millennials and Gen Z members, alongside valuable insights into how their choices are influenced by social media. By exploring survey responses, one can gain an understanding of how these generations' interests, beliefs, and desires shape their retail decisions. With 150 million survey responses collected from over 300,000 millennial and Gen Z participants, this data offers powerful insights for influencers, businesses, and marketers aiming to more accurately target this demographic. It includes survey questions, segment types targeted, and corresponding answers with detailed counts and percentages, making it useful for anyone seeking to understand the purchasing behaviour of today's youth.
Columns
- Question: This column lists the questions asked in the survey, covering topics such as shopping habits, trust in online retailers, and influences from friends and family during purchases. (Text)
- Segment Type: This section indicates whether an individual was part of a larger segmented group exclusively surveyed for a specific question. (Text)
- Segment Description: Here, you will find a description of the segment population surveyed for each question listed in the 'Question' column. (Text)
- Answer: This column includes all possible answers provided by each respondent for every question asked in the survey (e.g., Yes/No/Unsure). (Text)
- Count: This column contains numeric values representing the total number of respondents uniquely corresponding with each 'Answer' option for its respective 'Question'. (Numeric)
- Percentage: This final column provides percentage values that interpret the count data, including all answers among any segments specified across all questions posed by the survey platform. (Numeric)
Distribution
The dataset is provided as a data file, typically in CSV format, specifically named
WhatsgoodlyData-6.csv. The file size is 172.21 KB. It contains 150 million survey responses gathered from over 300,000 millennial and Gen Z participants. The internal structure includes six distinct columns for analysis.Usage
This dataset is ideal for various applications and use cases, including:
- Helping influencers, businesses, and marketers to more accurately target millennial and Gen Z demographics.
- Identifying which types of segments are most responsive to engaging shopping experiences, such as influencer marketing, social media discounts, and campaigns.
- Analysing survey answers to understand millennial and Gen Z opinions on social influence concerning their shopping habits, discerning what they view positively or negatively.
- Uncovering interesting trends or correlations between different demographic segments, such as identifying if a particular group values or uses certain types of social influence on their shopping habits more than others.
Coverage
The dataset focuses on the millennial and Gen Z demographics, featuring responses from over 300,000 members of these generations. Specific geographic or time range coverage details are not provided in the available source material.
License
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Who Can Use It
This dataset is intended for anyone seeking an in-depth understanding of what drives the purchasing behaviour of today's youth. Specific users include:
- Influencers: To better understand and engage with their target audience.
- Businesses: To refine marketing strategies and product offerings for younger consumers.
- Marketers: To develop more effective campaigns by leveraging insights into social media influence on shopping.
Dataset Name Suggestions
- Youth Shopping Habits & Social Influence
- Millennial & Gen Z Consumer Insights
- Social Media Impact on Shopping Trends
- Digital Youth Retail Behaviour
- Next-Gen Shopping Dynamics
Attributes
Original Data Source: Social Media Impact on Shopping Trends
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