This article will give you an overview of location-specific sampling structures and sampling sizes from consumer research done for Mintel Reports in the North and Latin American regions. It also has information on additional local specifics where applicable.

Find more information on our research methods in this article and learn about our analysis techniques in this article.

Consumer research in Brazil is carried out by Kantar Profiles, with a respondent reach of over 3 million 100% permission-based respondents in Brazil.

Mintel applies a quota-sampling approach with quotas on age, sex, region, and social class to be representative of the Brazilian internet population aged 16+. Mintel uses soft interlocked quotas on age and gender to be inclusive of non-binary respondents while still ensuring the sample remains representative of the overall population. Soft quotas are also used on region to improve fieldwork efficiency.

Specific quotas for a sample of 1,500 adults aged 16+ are shown below.

Para os Relatórios Brasileiros, a Mintel trabalha com a Kantar Profiles, a maior fonte única do setor para painéis baseados em permissão, com o maior número de atributos de perfil oferecidos globalmente, alcançando mais de 3 milhões de respondentes 100% baseados em permissão no Brasil.

A Mintel utiliza uma abordagem que leva em consideração cotas de idade, gênero, região e classe social, de modo a representar a população brasileira usuária de internet com 16 anos ou mais. A Mintel usa cotas combinadas de idade e gênero para integrar os respondentes não-binários, ao mesmo tempo em que garante que a amostra se mantenha representativa da população geral. Cotas flexíveis também são usadas na região para melhorar a eficiência do trabalho de campo.

As cotas específicas de regiões para uma amostragem de 1.500 adultos com 16 anos ou mais são.

Consumer research is conducted among a nationally representative sample of internet users in Canada and is carried out by Kantar Profiles, with a respondent reach of over two million 100% permission-based respondents.

In addition to exclusively commissioned surveys, Mintel gathers syndicated data from other respected consumer research firms. This allows Mintel analysts to form objective and cohesive analyses of consumer attitudes and behaviour.

Recollective provides Mintel with online research software. This allows the creation of Internet-based, virtual venues where participants recruited from Mintel’s online surveys gather and engage in interactive, text-based discussions led by Mintel moderators.

Starting in July 2017, Mintel’s consumer research has been conducted using a device-agnostic platform for online surveys (ie respondents can now take surveys from a smartphone in addition to a computer or tablet). This methodology change may result in data differences from previous years; any trending should be done with caution.

Mintel sets quotas on age and gender, region, and household income. We use soft interlocked quotas on age and gender to be inclusive of non-binary respondents, while still ensuring the sample remains representative of the overall population. Soft quotas are also used on region and household income to improve fieldwork efficiency.

Specific quotas for samples of 2,000 adults aged 18+ are shown in the tables below.

For each report Mintel develops custom primary research questions and uses specialty research firms for data collection. Mintel uses best in class consumer research strategies to ensure data is of the highest quality.

Consumer research in the US is carried out by Kantar Profiles, with a respondent reach of over 21 million 100% permission-based respondents in the country.

In addition to exclusively commissioned surveys, Mintel gathers syndicated data from other respected consumer research firms. This allows Mintel analysts to form objective and cohesive analyses of consumer attitudes and behaviors.

Recollective provides Mintel with online qualitative research software. This allows the creation of Internet-based, virtual venues where participants recruited from Mintel's online surveys gather and engage in interactive, text-based discussions led by Mintel moderators.

For its consumer research, Mintel uses set quotas based on gender, age, household income, region, race and ethnicity to ensure that survey samples are proportionally representative of the entire US adult internet population. Mintel uses soft interlocked quotas on age and gender to be inclusive of non-binary respondents while still ensuring the sample remains representative of the overall population. Soft quotas are also used on region and household income to improve fieldwork efficiency.

Starting in July 2017, Mintel’s consumer research has been conducted using a device-agnostic platform for online surveys (ie respondents can now take surveys from a smartphone in addition to a computer or tablet). This methodology change may result in data differences from previous years; any trending should be done with caution.

Specific quotas for a sample of 2,000 adults aged 18+ are shown below.

Starting from the end of year in 2023, respondents are allowed to select more than one race/ethnicity in Mintel’s syndicated consumer research. As a result, the race/ethnicity quotas are set up as minimum thresholds, particularly on African American, Hispanic and Asian respondents, to ensure that the sample remains representative of the overall population. Additionally, to ensure an adequate representation of these groups in our survey results and to allow for a more realistic interpretation of our reported findings, those groups are over-sampled relative to the overall population.

Mintel uses soft interlocked quotas on age and gender to be inclusive of non-binary respondents while still ensuring the sample remains representative of the overall population. Soft quotas are also used on region and household income to improve fieldwork efficiency.

The surveys for Mintel's Hispanic studies may be taken online by respondents in either English or Spanish.

Mintel uses soft interlocked quotas on age and gender to be inclusive of non-binary respondents while still ensuring the sample remains representative of the overall population. Soft quotas are also used on region, household income and preferred language to improve fieldwork efficiency.

For these studies, Mintel samples 1,000 Asian respondents using set quotas based on gender, age, household income and region to ensure that survey samples are proportionally representative of the entire US Asian adult internet population.

Mintel uses soft interlocked quotas on age and gender to be inclusive of non-binary respondents while still ensuring the sample remains representative of the overall population.

For these studies, Mintel samples 3,000 adult respondents using set quotas based on gender, age, household income, region and children in the household to ensure that survey samples are proportionally representative of the entire US adult internet population.

Mintel uses soft interlocked quotas on age and gender to be inclusive of non-binary respondents while still ensuring the sample remains representative of the overall population.

To ensure an adequate representation of these groups in our survey results and to allow for more realistic interpretation of our reported findings, Hispanic, African American and Asian respondents are over-sampled relative to the overall population. Respondents who are not online and/or do not speak English are not included in Mintel’s survey results.

For these studies, Mintel samples 2,000 young adult respondents aged 18-34, using set quotas based on gender, age, race/ethnicity, household income, and region to ensure that survey samples are proportionally representative of the entire U.S. adult internet population aged 18-34. To ensure an adequate representation of these groups in our survey results and to allow for more realistic interpretation of our reported findings, African American respondents and respondents who identify as a race other than White, Black or Asian are over-sampled relative to the overall population. Young adults aged 18-34 who are not online and/or do not speak English are not included in Mintel’s survey results.

Mintel uses soft interlocked quotas on age and gender to be inclusive of non-binary respondents while still ensuring the sample remains representative of the overall population.