The colors, fonts, and shapes of your logo are being rated against the wrong criteria.
Brand assets are measured by Fame (the percentage of customers who remember the asset and correctly associate it with your brand) and Uniqueness (the percentage of customers who only associate that asset with you, not confused with competitors). A high Fame asset but low Uniqueness is an asset that is building recognition for the entire industry. These two metrics were developed by Jenni Romaniuk and the Ehrenberg-Bass Institute, and are the only measurement tools that do not rely on the aesthetic taste of the business owner.
In most brand discussions, the first question that arises is: "Does this logo look good?" That is the wrong question. The right question is: "When customers look at this without seeing the company name, do they know whose it is, and only whose?" These two questions lead to two completely different measurement criteria.
Beauty is a matter of personal aesthetic judgment. It changes with generations, geographical regions, and the tastes of those in the meeting room. A brand may have an award-winning identity system, but industry customers may not recognize it, or they may recognize it but confuse it with a competitor. Conversely, a brand that consistently uses a familiar orange color over many years will achieve something that no award can measure: a place in the memory of buyers.
Jenni Romaniuk, a researcher at the Ehrenberg-Bass Institute at the University of South Australia, established a measurement framework called Distinctive Brand Assets. In this framework, the strength of a brand asset is determined by just two metrics: Fame and Uniqueness. Both measure customer cognitive behavior, not the designer's or business owner's aesthetic perception.
Fame is not general popularity. In Romaniuk's framework, Fame is the percentage of customers in the industry category who look at an asset (color, shape, tone, scent, photography style) and accurately associate it with the brand. It is not "I have seen this before," but rather "I know whose this is."
A low Fame asset is one that is functioning but leaving no trace. Customers look at it, the brain processes it, and then does not remember it. The cause is often not because the asset is poor, but because the frequency of exposure is insufficient or the asset is continuously changed before it can imprint in memory.
That figure explains why low Fame is a much more common issue than is generally acknowledged. Most businesses think they are "using identity," but in reality, they are using many different versions of the same idea. The human brain does not accumulate those versions. The brain categorizes them into discrete signals and does not accumulate any associations.
Uniqueness measures the opposite: among those who recognize the asset, what percentage only associates it with your brand, not attributing it to anyone else in the industry. This is a metric of memory ownership, not legal ownership.
A brand can register protection for its specific shade of green, but if customers see that color and think of three competitors at the same time, the Uniqueness of that asset is nearly zero. The asset may exist on paper legally, but it does not exist in the most important commercial sense: in the minds of buyers.
Distinctive assets only create presence in the mind when repeated consistently. Consistency is the mechanism of memory, not an aesthetic choice.
Jenni Romaniuk, Building Distinctive Brand Assets, Oxford University Press, 2018
When placing Fame and Uniqueness on two axes, an identity asset falls into one of four positions:
The simplest self-assessment test for Uniqueness: take each identity asset, cover the name and logo, and ask a group of customers and non-buyers: "When you look at this, which brand do you think of?" No hints, no pre-selected options.
If the answers are dispersed across many names in the industry, Uniqueness is low. If the answers focus clearly on your name, that asset is functioning correctly. This test cannot replace rigorous quantitative research, but it is sufficient to detect serious issues before continuing to invest in the wrong assets.
It is important to remember: the results of this test are behavioral data, not aesthetic opinions. It does not answer the question "is this color beautiful?" but rather answers the question "is this color doing what it needs to do?" These are two completely different questions, and only the second one affects business outcomes.
Both metrics are the result of a long process, not a single design decision. Fame comes from consistent exposure over time. Uniqueness comes from choosing assets that are distinct enough from the start and not allowing them to drift with industry trends.
These two points mean: the most important design decision is not which color or font to choose, but rather the decision to keep that color and font consistent long enough for them to become true assets. Frequently changing the identity because it feels "old" disrupts the accumulation of memory right before the finish line.
Jenni Romaniuk, Building Distinctive Brand Assets, Oxford University Press, 2018. Byron Sharp, How Brands Grow, Oxford University Press, 2010. Marq (Lucidpress) / Demand Metric, Brand Consistency Report, 2021.
Fame measures what percentage of customers in the industry remember the asset and correctly attribute it to your brand. Uniqueness measures whether that asset is confused with a competitor. There is no absolute threshold, but Romaniuk suggests prioritizing assets with high Uniqueness before investing in increasing Fame, as low Fame can be compensated with budget, while low Uniqueness means you are building on someone else's land.
Using something for a long time does not mean using it consistently. If colors change across channels, logos appear at different rates, or visual styles are unstable, the viewer's brain cannot accumulate associations. Ehrenberg-Bass refers to this as a frequency and consistency issue, not a matter of longevity.
You can get a directional sense by asking a small group of customers and non-customers: when looking at the asset (color, shape, font) without the brand name, who do they think of? The results will not be statistically representative but will be enough to detect serious Uniqueness issues. More systematic research requires a representative sample and carefully designed questions to control for suggestion effects.