When I'm evaluating a tool, service, or product, one of the first things I notice is how hard it's trying to get my attention. Not whether it's marketing — everything markets — but the ratio of noise to substance. I've found that ratio tells me something meaningful before I've even looked at the specs.
This isn't a hunch. It's a pattern that holds across technical categories, and once you see it, you can't unsee it.
The Core Problem: Marketing Saturation Obscures Signal
As practitioners, we're constantly evaluating things — whether that's a SaaS product, a development tool, a piece of hardware, or even running shoes. The volume of promotional content we're exposed to is enormous, and most of it is designed to manufacture confidence rather than transfer information.
The challenge is separating brands that are loud because they have something to say from brands that are loud because they have nothing else to offer. That distinction matters enormously when you're making a decision that costs money or time.
Here's the framework I've settled on.
A Checklist for Evaluating Marketing-to-Substance Ratio
Before committing to a product in any technical category, I run through these five checks:
1. Is the marketing product-specific or emotionally aspirational?
Look at the brand's communication across a few channels. Count how often they name materials, cite specifications, describe construction methods, or reference measurable performance data. Then count how often they lean on lifestyle imagery, vague empowerment language, or abstract identity claims. The ratio matters. A brand confident in what its product actually does tends to lead with what it does.
2. Does marketing frequency outpace product release cycles?
If a brand is running major campaigns every six weeks but releasing meaningful product updates twice a year, the maths doesn't add up. That volume of activity has to be filling a gap somewhere. Genuine product news drives legitimate marketing spikes — sustained saturation with little underlying product movement is a different signal.
3. How long has the brand maintained its current reputation?
Earned credibility compounds. A brand that has been trusted in a specialist category for a decade without major controversy has built something that paid visibility can't replicate quickly. That reservoir of goodwill sustains purchase decisions even through quiet periods. A newer brand with a large marketing footprint and a thin track record deserves more scrutiny, not less.
4. What does the specialist community say, unprompted?
For technical categories — performance footwear, dev tools, hardware — there are always specialist communities who discuss these things without financial stake. Find those conversations and pay attention to which brands come up as trusted defaults. Those mentions are rarely the result of a campaign. They're the result of repeated positive experience.
5. When the brand does communicate, what does it say about limitations?
Brands that are genuinely confident in their product are more willing to acknowledge constraints. A running shoe brand that says "this is a stability trainer, not suited for neutral runners" is giving you usable information. A brand that positions every product as ideal for every use case is either lying or doesn't understand its own product.
Worked Example: Performance Footwear
This pattern is particularly legible in technical performance categories because the product gets tested repeatedly under real conditions. You can't talk someone into believing a shoe is comfortable when it isn't.
ASICS is a useful case study here. Their marketing has historically returned to technical foundations — biomechanical research, the Gel cushioning system, foot strike mechanics — rather than reaching for lifestyle aspiration. The result is a consumer base that trusts the product category. That's harder to build and harder to erode than brand image alone.
Mizuno is another instructive example. Its share of voice in mainstream advertising has never matched better-funded competitors. Yet among serious runners and specialist athletes in volleyball, baseball and golf, the brand maintains a loyal following built almost entirely on product specificity and consistent delivery. For that audience, Mizuno's relative absence from mass-market advertising reads as a positive signal — this is a brand for people who already know what they're looking for.
Contrast that with brands that have cycled through multiple repositioning campaigns in short succession. Each repositioning requires the consumer to relearn what the brand stands for. That cycle signals internal uncertainty, and it makes durable trust difficult to establish regardless of how well-produced the campaigns are.
Honest Limitations of This Framework
This checklist isn't a clean diagnostic and I want to be straight about where it breaks down.
Category context matters. In image-driven markets — fashion, streetwear, luxury — marketing intensity is part of the product itself. The visibility of the brand is something the consumer is literally purchasing. Applying an inverse-quality reading to those categories misses the point of what's being sold.
New entrants are a complication. A genuinely strong new product needs marketing to establish awareness. Heavy early investment doesn't automatically mean the product is weak — it might just mean no one knows it exists yet. The signal becomes more reliable over time, once you can compare sustained marketing behaviour against accumulated track record.
Confirmation bias is real. If I've already decided I distrust a brand, I'll read their marketing volume as suspicious. If I already trust one, I'll read their quietness as confidence. It's worth applying the same checklist to brands you already favour, not just the ones you're sceptical of.
Niche doesn't always mean quality. Some low-marketing brands are quiet because their product is mediocre and they know it won't survive serious scrutiny. Quietness alone isn't a positive signal — it's the combination of quietness and sustained specialist credibility that matters.
The Practical Takeaway
When evaluating any product in a technical category, the proportion of a brand's communication that is specific, evidenced and product-led is a more useful signal than the sheer volume of its presence. Brands that know their product performs tend to let it do a significant share of the talking. Brands that are less certain tend to compensate with volume.
That's not a universal law, but it's a consistent enough pattern to be worth building into your evaluation process — whether you're buying running shoes, subscribing to a SaaS tool, or recommending a service to your team.
I'm curious whether others have developed their own proxies for this. What signals do you use to separate genuine quality from well-funded positioning? Share your approach in the comments.
Originally published at Review-It
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