Warm and Cool Colour Contrast

Warm and Cool Colour Contrast

Reviewed by Faisal Zaidi

Retail colour research usually sorts colours into two bins, warm (red, orange, yellow) and cool (green, blue, violet, white), and compares them. In the largest pooled analysis, covering 31 colour effects, warm colours raised arousal and cool colours raised satisfaction, while pleasure and intentions to buy or visit did not move reliably. The split is useful for pooling studies and poor for choosing paint, because it hides hue, lightness and saturation.

What it is

The warm and cool contrast is a coding scheme more than a discovery. When Holger Roschk and colleagues pooled thirty years of experiments on the atmosphere of shops and service settings, they needed a way to compare studies that had used many different colours. They placed red, orange and yellow in the warm group and green, blue, violet and white in the cool group. White is a judgement call: the paper notes that it is sometimes ascribed to the cool category and is generally regarded as neutral.

The pool held 135 effects in all, of which 47 concerned music, 57 scent and 31 colour. The colour effects were spread over four outcomes. Arousal had 9 effects and 1,724 shoppers. Pleasure had 8 effects and 1,499 shoppers. Satisfaction had 7 effects and 947 shoppers. Behavioural intentions had 7 effects and 1,225 shoppers. Behavioural intentions gathered purchase, visiting, shopping and patronage intentions and, in a single study, actual expenditure.

The only contrast analysed was warm against cool. Hue, brightness and saturation were not analysed separately, and the authors report that other characteristics of colour could not be integrated because the studies operationalised them too differently.

In effect

What the pool found

Warm colours produced higher arousal than cool colours, a small effect that the authors' fail-safe check suggests would survive unpublished null results. Satisfaction went the other way and was the largest and steadiest of the four: cool colours produced higher satisfaction, and the variation between studies on that outcome was small enough that the authors read it as convergence on a stable estimate, pending further research. Pleasure and behavioural intentions showed no significant difference. The authors suggest opposing effects may cancel each other out on those two outcomes, and summarise the colour results as bipartite in nature.

Where the effect lives

The same analysis split the effects by setting. The arousal effect of warm colour was about ten times larger in online settings than in physical retail, and the pleasure effect pointed one way online and slightly the other way in shops. Splitting by the gender mix of the samples, or by whether participants were students or customers, produced no significant differences for any colour outcome. The paper reports these splits without a test of why they arise.

Single studies on either side

Two studies show the contrast at work on individual colours. A 2003 paper in the Journal of Business Research compared blue and orange interiors for fashion-oriented stores. Blue produced more favourable evaluations, slightly more excitement and higher intentions to patronise and buy, and soft lighting with an orange interior offset orange's negative effects. A 2012 study in Color Research and Application tested five interior colours (blue, yellow, green, red and white) with two kinds of lighting on 918 shoppers. Its abstract associates a red interior with less time in the store, and green with higher product purchase. Both are known here from their abstracts only.

What the authors suggest

Roschk and colleagues describe the effects as small to medium and therefore as long-term strategies. They suggest warm colours for new-product aisles, using the arousal effect, and cool colours for complaint-handling desks, using the satisfaction effect. These are suggestions drawn from the pooled results and not layouts that anyone in the pool tested.

What it does not say

It does not say that a warm shop keeps people for a shorter or longer time. Time spent was not analysed separately for colour in the pool.

It does not say that red and yellow behave alike, or that blue and white do. They sit in the same bin because the studies did not allow a finer comparison. Other colour research suggests the bins may hide the larger part of the story: Karen Schloss, Christoph Witzel and Leslie Lai held lightness and chroma constant and found blue hues no sadder than yellow ones, and a 2025 review of 132 articles found correspondences between colours and feelings to be driven as much by lightness and saturation as by hue. A study that reports a warm colour effect may be reporting a bright, saturated one.

It does not say that a colour has a fixed meaning. The colour-in-context account, set out in the article on red, holds that a colour takes its meaning from the setting. The online and in-shop split in the pool is consistent with that account, though the pool does not test it.

And it does not say that colour acts alone. In both single studies above, lighting changed the result, and the pool could not integrate lighting at all.


Sources

  1. Roschk, H., Loureiro, S. M. C., & Breitsohl, J. (2017). Calibrating 30 years of experimental research: a meta-analysis of the atmospheric effects of music, scent, and color. doi:10.1016/j.jretai.2016.10.001. Journal of Retailing, 93(2), 228-240. Accepted manuscript read: https://eprints.gla.ac.uk/214127/
  2. Babin, B. J., Hardesty, D. M., & Suter, T. A. (2003). Color and shopping intentions: the intervening effect of price fairness and perceived affect. Journal of Business Research, 56(7), 541-551. doi:10.1016/S0148-2963(01)00246-6. Read at the level of the abstract.
  3. Barli, O., Aktan, M., Bilgili, B., & Dane, S. (2012). Lighting, indoor color, buying behavior and time spent in a store. Color Research & Application, 37(6), 465-468. doi:10.1002/col.20695. Read at the level of the abstract.
  4. Schloss, K. B., Witzel, C., & Lai, L. (2020). JOSA A, 37(5), 813-824. doi:10.1364/JOSAA.383588. Relayed through earlier Why We Project articles.
  5. Jonauskaite, D., & Mohr, C. (2025). Psychonomic Bulletin & Review, 32(4), 1457-1486. doi:10.3758/s13423-024-02615-z. Relayed through earlier Why We Project articles.