Insights provide a penetrating understanding of consumers, their needs and their motivations. They are the substance and the inspiration for breeding ideas and developing concepts. And they are often gleaned from the observations sourced during consumer immersion.
An observation is a factual, objective record of something read, seen or heard. It is the data that will lead us to identifying the consumer needs. It should be devoid of interpretation or judgement. Observations should not be confined within the category, they should relate to people’s day to day lives. Take for example:
Observations are captured by associates during consumer immersion, preferably on Post-it notes so they may be grouped and mixed with other observations in the next stage.
Participants share their most interesting observations with the rest of the team. While we tend to focus more on the obvious, insights usually emerge from unexpected sources. Those observations that come as a surprise might be the ones you need to pay attention to.
Observations that share common ground are grouped to form clusters. For example the following observations could be grouped together under a cluster named “impatience”.
Similarly the observations below may be grouped under “my car says what I stand for”:
Observation clusters are analysed to determine underlying consumer needs. A technique called laddering can facilitate this process. The team relentlessly keeps asking themselves “why” — why do people say what they say or behave the way they do? Laddering will evoke responses that relate to functional drivers to begin with, but as we persist with questioning, emotional drivers begin to emerge. The process helps to peel off the outer objective layers and delve deeper into the subjective truth — the emotional needs that are driving behaviours.
An insight may vary in form; it may reflect generalised human aspect, or it may pertain to a specific situation. Ultimately it uncovers a need that is applicable to a significant proportion of target consumers. It explains their behaviour, and is easy for them to comprehend and relate to.
For instance for the cluster “my car says what I stand for” we may come up with the following needs: individuality and belonging. By relating needs back to brand or category, we create a marketing insight. In this case it reveals what manufacturers already know: “the car is an expression of the owner’s individuality”.
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In an analytics-driven business environment, this analytics-centred consumer marketing workshop is tailored to the needs of consumer analysts, marketing researchers, brand managers, category managers and seasoned marketing and retailing professionals.
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