{"id":19806,"date":"2020-01-28T12:54:31","date_gmt":"2020-01-28T12:54:31","guid":{"rendered":"https:\/\/www.arimetrics.com\/glosario-digital\/activities-interests-and-opinions-aio"},"modified":"2026-09-14T15:34:57","modified_gmt":"2026-09-14T15:34:57","slug":"activities-interests-and-opinions-aio","status":"publish","type":"encyclopedia","link":"https:\/\/www.arimetrics.com\/en\/digital-glossary\/activities-interests-and-opinions-aio","title":{"rendered":"Activities, Interests and Opinions (AIO)"},"content":{"rendered":"

\"Activities, Definition:<\/strong><\/p>\n

Activities, interests and opinions (AIO)<\/strong> are three dimensions used in market research to describe lifestyles and build psychographic profiles of consumers. They help researchers study what people do, which subjects interest them and how they evaluate different topics, products or situations.<\/p>\n

Activities include practices such as working, shopping or spending time on leisure; interests reflect the importance given to areas such as family, technology or sport; and opinions express judgments about oneself, one’s surroundings or an offering. These dimensions are related, but not interchangeable.<\/p>\n

An AIO profile can be combined with demographic data, such as age, income or educational attainment. These data provide a different type of information and do not become part of the three dimensions simply because they are analyzed alongside them. Two people with similar demographic characteristics may have different interests and opinions.<\/p>\n\n

Applications of AIO measurement<\/h2>\n

AIO measurement helps explore differences between consumers and develop market segmentation<\/a> based on lifestyles. It can support decisions about positioning, messaging, channels or product development, without determining by itself which strategy will succeed.<\/p>\n

Research can address general activities, interests and opinions or focus on a specific category. For example, a study of food consumption could examine cooking habits, interest in ingredients and opinions about prepared foods. The scope is chosen according to the research question; product-specific variables do not always replace general ones.<\/p>\n

In digital marketing<\/a>, these profiles can inform hypotheses about content and offerings relevant to different audiences. They are not automatically equivalent to an advertising platform’s targeting categories or to a record of what each user has done on a website.<\/p>\n

Information is commonly collected through surveys, and patterns in the responses are analyzed. Demographic data can be included to describe groups, but each AIO response does not have to be linked to them. The study design determines which information is needed and how it is related.<\/p>\n

A psychographic profile does not provide complete knowledge of a person or predict their next purchase with certainty. A stated preference and an observed behavior are different kinds of evidence; the relationship between them must be tested rather than assumed.<\/p>\n

AIO questionnaires<\/h2>\n

AIO questionnaires can include statements that participants rate according to their level of agreement or disagreement on a defined scale. They can also record activity frequencies or the importance assigned to different subjects. Their length depends on the objective: they do not necessarily have to be long.<\/p>\n

These five statements illustrate content that could be included in a study, but do not constitute a validated scale on their own:<\/p>\n

    \n
  • I prefer staying at home to going out for entertainment.<\/li>\n
  • When choosing clothes, I give more importance to comfort than to following fashion.<\/li>\n
  • I enjoy watching television interview programs.<\/li>\n
  • I tend to make impulse purchases.<\/li>\n
  • I tend to plan my activities carefully.<\/li>\n<\/ul>\n

    Statements should be adapted to the audience and purpose of the study. A statement about television may be relevant to researching media preferences, but is not mandatory in every questionnaire. Nor should an isolated response be interpreted as a permanent consumer characteristic.<\/p>\n

    Wording, response options and the reference period affect the results. People may recall their activities inaccurately or answer in a way they consider socially acceptable. The selection of participants also limits the population to which conclusions can be generalized.<\/p>\n

    Analysis can identify patterns and group participants with similar responses. Those groups require interpretation and testing: giving them an appealing name or assuming all their members will behave alike is not enough.<\/p>\n

    The results can offer a new perspective on a market and help determine which attributes or messages are worth testing. Their commercial usefulness should be assessed alongside other evidence, such as interviews, product tests or purchasing behavior, while maintaining the distinction between what is reported and what is observed.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Definition: Activities, interests and opinions (AIO) are three dimensions used in market research to describe lifestyles and build psychographic profiles of consumers. They help researchers study what people do, which subjects interest them and how they evaluate different topics, products or situations. Activities include practices such as working, shopping or spending time on leisure; interests […]<\/p>\n","protected":false},"author":6,"featured_media":79587,"template":"","encyclopedia-tag":[1409,1306],"class_list":["post-19806","encyclopedia","type-encyclopedia","status-publish","has-post-thumbnail","hentry","encyclopedia-tag-audience-behavior","encyclopedia-tag-customer-segmentation"],"_links":{"self":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia\/19806","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia"}],"about":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/types\/encyclopedia"}],"author":[{"embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/users\/6"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/media\/79587"}],"wp:attachment":[{"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/media?parent=19806"}],"wp:term":[{"taxonomy":"encyclopedia-tag","embeddable":true,"href":"https:\/\/www.arimetrics.com\/en\/wp-json\/wp\/v2\/encyclopedia-tag?post=19806"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}