The real impact of color: Why “liking” a certain colour won’t cut the mustard for your brand
When Monzo launched, every bank card in Britain was some shade of “trustworthy.” Navy, grey, the odd apologetic gold. Monzo went hot coral: not a mood board choice, an engineered moment. The card comes out at the till, or better, at the pub, and doesn’t blend in. Somebody asks about it. The colour did the marketing before the marketing budget did.
The job has to be specific and testable: be the thing nobody can ignore. Most colour decisions don’t get that treatment. They come from a Pantone chip, a founder’s gut feeling, and a line in the brand guidelines nobody can defend six months later.
Colour is a stimulus before it’s a preference
The eye registers colour in around 13 milliseconds, faster than almost anything else a brand puts in front of a person, before shape, before message, before the brain has decided what it’s looking at. It’s the first event: cortical, cognitive, and behavioural, and largely involuntary. Industry research, originally from Satyendra Singh’s 2006 literature review, puts a number on it: people form an initial judgement within about 90 seconds of encountering something, with colour accounting for a large share. Treat the precise figure as an estimate, not a controlled result. The direction is what matters: colour does its work before anyone’s consciously deciding anything.
Color-in-Context theory, from Karen Schloss and colleagues’ work on colour-emotion association, argues against the old assumption that red means danger or blue means trust in some fixed way. Meaning is assembled in the moment, from the object, the category, and the cues around it. Red on a sports car reads as speed; on a hazard sign, stop. Same wavelength, different instructions, because the nervous system reads the whole scene, not the colour alone. It’s why Coca-Cola’s red and Pepsi’s blue have coexisted for a century without either being “wrong”: red as energy in one context, blue as calm in another, both correct for the job each was given.
Ecological Valence Theory, from Stephen Palmer and Karen Schloss’s work, found that liking correlates with people’s average emotional response to the objects they associate with a colour. People who like blue tend to picture clear skies; people who dislike orange tend to picture rust. “I like this colour” is a claim about memory more than about the colour itself.
Utility over aesthetics
A 2025 Journal of Consumer Research study found consumers consistently rate muted colourways as more premium, because desaturation reads as the visual signature of age and heritage. Tiffany’s recent campaign in Tiffany Yellow works the same way in reverse: Tiffany Blue is one of the most legally protected colours in retail, so a deliberate break from it reads as a statement precisely because the rule is so fixed.
None of this holds still across a population, either. Preference splits by culture, gender, and age. A colour system built for one market should not be a given where it hasn’t been tested.
Turning that into a working system
- Start with a literature and competitor review: what’s already been tried in the category, and where the gap is.
- A/B test properly: not just colour against colour, but saturation and lightness against each other, shown to different audience segments.
- Where the stakes justify it, test on people directly: eye-tracking and heatmaps for attention, biometric response for what happens before anyone can articulate a reaction, demographic surveys for the cultural and generational splits one opinion in a room will always miss.
That’s the difference between a colour someone liked and a colour doing a job. Colour strategy is utility first, dressed up as taste.
Further reading
Elliot, A. J. & Maier, M. A., Colour-in-Context Theory (Advances in Experimental Social Psychology); Brogaard, B. & Gatzia, D. E. (2017), Cortical Color and the Cognitive Sciences; Labrecque, L. I. & Milne, G. R. (2012), Exciting Red and Competent Blue; Singh, S. (2006), Impact of Colour on Marketing; Hallock, J., colour preference survey data.
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