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Consumer Behaviour Dining and Restaurants Canada

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Dining & Restaurant 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 Canadian Dining & Restaurant dataset include?

This dataset reveals regional dining habits and restaurant preferences across Canada. It includes:

  • Frequency of dining out
  • Types of restaurants preferred (fast food, casual dining, fine dining)
  • Use of food delivery apps and services
  • Popular cuisine types by area

Leverage this data to tailor your restaurant marketing and foodservice offerings.

How can this dataset improve restaurant marketing campaigns?

Marketers and restaurant owners can:

  • Target promotions to areas with high dining-out frequency
  • Focus digital ads on regions with strong food delivery usage
  • Align menu offerings with popular local cuisines

Enabling more precise and effective customer engagement.

Can this dataset help with location planning for new restaurants?

Yes. By analyzing dining preferences and frequency, businesses can:

  • Identify neighborhoods with unmet demand for specific types of dining
  • Spot areas with growing interest in food delivery services
  • Choose locations near food courts or entertainment hubs with high dining traffic

This supports informed decisions about restaurant expansion and marketing.

What are the key consumer behaviors covered in this dataset?

The dataset covers:

  • Dining frequency and restaurant visit types
  • Preferred cuisines and dining formats
  • Food delivery app usage and preferences

Allowing brands to customize offerings and campaigns by region.

About this Dining & Restaurant dataset of Canada

Dining habits, including the type of restaurants visited (fast food vs. sit-down dining), frequency of dining out, and preferences for delivery apps, vary by region. Vividata offers insights into where consumers are most likely to dine and what types of cuisines they prefer. Brands can run targeted online ads for restaurant visits or food delivery based on regional dining habits. OOH ads can be strategically placed in or around popular dining areas, food courts, or entertainment districts where people often eat out.

Data variables

No variables found

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