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Consumer Behaviour Fashion Canada

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Fashion themed Insights based on the largest syndicated study in Canada, Vividata's SCC | Study of the Canadian Consumer. Spotzi analysed and processed the results of over 100.000+ questionnaires and with the use of complex machine learning algoritms created the go-to source for demographics, psychographics, lifestyle, life events, media, purchasing and brand preferences divided into 17 categories. By incorporating these extensive Vividata based datasets you will unleash the full potential of our Spotzi plans and lift your insights to the next level.

Vintage
2021
Feature Count
57932
Source
Vividata
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Frequently Asked Questions

What does the <strong>Consumer Behaviour - Fashion</strong> dataset for Canada include?

This dataset offers detailed insights into fashion preferences and shopping behaviour across Canada. It covers:

  • Shopping habits and frequency
  • Preferences for sustainable and ethical fashion
  • Popular retail channels for fashion purchases

Use this data to tailor fashion marketing and product offerings by region.

How can fashion brands leverage this dataset for marketing?

Fashion brands can:

  • Identify regional buying preferences to promote relevant products
  • Understand regional competiton by identifying which retailers are the most frequented for clothing and shoe purchases
  • Learn about monthly household spend on men's, women's, and children's fashion

Helping increase customer engagement and sales.

Can this dataset help with understanding fashion purchase behaviors?

Yes. It provides insights on:

  • Frequency of fashion purchases
  • Preferred brands and product types
  • Consumer loyalty to specific fashion labels
  • Popular shopping channels (online vs. in-store)

Allowing brands to optimize sales strategies and inventory.

What types of insights are covered in this dataset?

Some of the insights that this dataset includes are:

  • Public interest in sustainable and ethical fashion
  • Brand popularity and consumer preferences
  • Buying and spending habits

This helps brands stay ahead of consumer demands and market shifts.

About this Fashion dataset of Canada

Fashion behavior is often driven by local trends, brand preferences, and shopping habits. Geographical data helps fashion brands understand which styles or brands are popular in specific regions. Online campaigns can be tailored to meet the fashion needs of consumers in a given area, such as promoting sustainable fashion in environmentally-conscious regions. OOH ads can be placed near fashion retail areas or busy shopping streets where fashion-conscious consumers are likely to shop.

Data variables

No variables found

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