Almost two-thirds of Canadians have ordered a meal at least once online in the past six months, a survey conducted for Dalhousie University shows.
According to the probe, 63.8% of Canadians ordered food online, whether from a grocery store, a restaurant via an application like Uber Eats or DoorDash or to receive a boxed meal like those of Goodfood.
Regional disparities were however noted by the director of the laboratory in agro-food analytical science at Dalhousie University, Sylvain Charlebois.
In Quebec, consumers have, above all, turned to online ordering to purchase restaurant meals. This is a unique phenomenon in the country, with consumers in all the other provinces having primarily used the Internet to order and shop for groceries online.
According to Mr. Charlebois, this phenomenon could translate into a greater willingness of Quebecers to come to the aid of their restaurateurs. Remember that the majority of these go through a second forced closure of the dining rooms.
Moreover, not surprisingly, there is a great generational disparity in the use of the Internet to buy food. More than half (57.1%) of baby boomers refrained from ordering online, while only 28.5% of millennials did so.
Pandemic forces, one might think that Canadians have been inclined to order online to thumb their noses at COVID-19. However, only 13.8% of respondents claimed to have turned to the internet for this reason.
Put simply, 33.8% of Canadians enjoy ordering online because it’s convenient, they said.
The trend is not ready to be reversed as Dalhousie University estimates that agri-food companies from all walks of life have invested $ 12 billion to develop their presence on the internet.
“With the data we have now and given the investments in the sector, we believe that even after the pandemic, Canadians will continue to enjoy the convenience provided by shopping online,” said the laboratory director of science. food analytics from Dalhousie University, Sylvain Charlebois.
The study is based on a survey of 7,290 Canadians in early November. The margin of error is 1.7%, 19 times out of 20.