95% of consumers’ purchase decisions take place in the subconscious mind (System 1) and brands are increasingly using implicit research methods within their research studies in order to uncover subconscious associations of their consumers to inform their brand, communications and product strategies. But what is implicit research and how does it work? Implicit research doesn’t need to be expensive, time-consuming or complex to execute. Read on to find out how you can use this advanced method within your research studies, and uncover associations that consumers may not know they even have, with insights from quantilope’s Guide to Implicit Research.
What is implicit research?
Among the many different formats, methods, and question types available for research teams to use, implicit research is unique as it has the ability to capture subconscious and unbiased associations consumers have toward a brand, product, or category (or multiple brands, products, and categories). Implicit reactions are measured primarily through the speed of selection (i.e. how quickly a respondent clicks on an association), capturing their gut reactions to research questions in order to get an authentic representation of how consumers feel toward something. There are two major types of Implicit Research: Single Implicit Association Tests (SAT) and Multiple Implicit Association Tests (MAT).
Why use implicit research?
Implicit research enriches consumer findings by uncovering true subconscious associations and capturing an unbiased reading of data. In explicit research, respondents may consider their answers after observing all information during a purchase experience, or think carefully about specific brand ratings. In reality, consumers may have made up their mind quickly during a shopping experience or have preconceived beliefs on a brand, product or category; implicit research is able to accurately uncover these beliefs and quick decisions. Furthermore, with implicit research, there is no order bias, wording bias, external influences, etc., so there’s no concern about how a question was posed to the respondent.
Implicit research is particularly useful when trying to understand an overall picture of your brand, product, communications or category, to see which associations authentically rise to the top versus those that a consumer selects from a list of associations. When respondents are shown a long list of elements, they tend to select many - even if they feel stronger about a select few; this is also why advanced analyses within implicit research methods are better at prioritizing long list items.
Supporting brand, product, advertising strategy and optimization
Brands use implicit research for a variety of purposes including:
Category/industry associations: understanding what consumers associate with the category to best position a new product for launch.
Brand equity associations: uncovering if people consider a brand familiar, nostalgic, luxurious, etc. or even a comparison of how two competitive brands’ associations differ from one another.
Emotional and functional associations: finding out how consumers are using products/services to help prioritize attention and budget on highest performing products, for example, learning which products are considered more convenient, less messy, more innovative, or more powerful than others in the line.
Message/advertising content recall: identifying what consumers think of your communications, to help ensure advertising evokes the desired emotion and responses.
How to run implicit research for your brand
Explore implicit research in more detail in quantilope’s Guide to Implicit Research, which includes insights from our recent Streaming and Social Platforms Research Study and Consumer Electronics Study. Download the guide to learn:
what implicit research entails
when to use implicit research
how to set up an implicit study
how to run implicit research with quantilope’s Insights Automation Platform.