Great CMOs, CEOs and CFOs thrive on honest insights and known truths, things that are intellectually understood but often forgotten. Allow me to drop a truth bomb: Performance marketing does not create demand. It captures it.
If the water tank isn’t full, your best workarounds turn out to be expensive new low-flow faucets.
Organic traffic is low. Performance campaigns work hard for small gains. The data is clean. Dashboards are humming. However you find a trickle that used to shoot water like a Calcutta downspout in heavy rain.
Growth does not end when performance declines, but when brands lose the ability to generate meaning at scale.
If your demand reservoir can’t be refilled, the faucets run dry. You are stuck in what I call the plateau of indifference. It’s an area where brands are recognized but not differentiated in a meaningful way, leading to price-driven competition and stagnant growth.
Most sellers have never heard of it, even though many brands are quietly sitting there. It’s the systematic truth of how marketing leadership has evolved over the past 15 to 20 years.
The plateau of indifference as a working condition
Many of today’s CMOs have built their own professional data, dashboards, personalization and performance optimization. Those skills matter. But that left no one to check the tank.
The process of replenishment is to build a product. Deliberate work to create meaning, emotional flexibility, relevance and preference.
Research from marketing effectiveness experts Les Binet and Peter Field shows that when brands rely too much on performance marketing, growth stagnates because the pipeline of future buyers is not replenished.
Only about 5% of buyers are in the market at any given time, so 95% of your potential audience is making an impression about you, which is just like a disappointing, annoying salesperson.
In my book “Appreciated Branding,” I describe the spectrum on which every brand sits.
On the other hand there are brands that are simply ignored. They have yet to find coherence, meaning or purpose.
In addition there are well-known brands. They deliver faithfully. They are not known but they are not inspiring because their messages are logical, predictable and static. Every competitor seems to solve the same problem or close enough, so the buying decision becomes easy: who is the cheapest?
After that comes the plateau of indifference. Most performance marketing is trying to get noticed through price cuts, not to be memorable or helpful. You buy a sale from another brand that lives there with you on the plateau, but at the moment you are not discounting.
So your sales growth is temporary. You go back to being known and ignored once that price cut is removed.
Plateau products are those that never rise beyond recognition. Without a deep emotional explanation, the likes are never built and your product falls into a price competition, a hell that eats the margin.
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Why does the scale no longer compensate for the weak definition
For decades, there was a path leading out into the plain. It was expensive, but reliable: more media, impressions and frequency. It is made familiar by repetition until it sounds, remotely, like the meaning. That system has worked for almost a century, from the rise of the big screen television to the arrival of the smartphone in 2007.
But today we are bombarded with thousands of messages every day. Ads, alerts, feeds and notifications. Attention is divided. The distraction outweighs the attraction. Now, AI is breaking down the last lever marketers can rely on: search visibility.
Gartner has predicted that traditional search volume will decline by 25% by 2026 as AI assistants continue to answer questions directly instead of sending users to websites. They didn’t make a mistake. Meanwhile, studies have already shown that when Google’s AI-generated answers appear, organic click-through rates drop between 15% and 64%.
Traffic marketers have spent two decades preparing for the decline. AI is increasingly providing direct answers to buy (AEO/GEO) instead of listing options to browse (SEO).
AI-driven discovery is changing the criteria for visibility
AI doesn’t come up with the loudest brands. It comes from some of the most read. Those with meaning, reputation and resonance. That’s what AI searches for, keywords should be discarded.
When a consumer asks an AI assistant what to buy (and Kantar reports that 24% of AI users already use an AI shopping assistant), the system doesn’t analyze ad budgets or impression counts or even discounted prices.
Instead, it includes the narrative history surrounding the brand – the problems it solves, the promises it keeps, the things customers say about it and the values it consistently demonstrates.
The AI is a club operator who has already read every review, every social post and every article ever written about your product before you step up to the velvet rope. Your media budget is not on the guest list. Your definition is.
However, improving the generating engine and responses is not enough. Organized data helps AI learn your product. But if all that needs to be read is your expected inventory count, you haven’t seen it yet.
AI looks for clarity of purpose, intent and relevance. It wants to know your story. If the story isn’t there, you won’t even hear the bouncer say, “Are you there?”
From flexible to discrete
The only way to leave the plateau permanently is to jump from knowing to being appreciated.
Well-known brands meet category standards interchangeably. Prestige brands have a different emotional spectrum. They prove that they care about something more than shopping.
They solve problems that customers did not expect to face. They demonstrate values through behavior. They earn thanks before asking for a sale.
CVS didn’t make that leap by running better pharmacy ads. In “The $1.5 billion decision that redefined the CVS brand,” I discussed how, in 2014, CVS ended the sale of cigarettes in its stores, sacrificing an estimated $1.5 billion a year to strengthen its commitment to health. Within five years, CVS had recovered that money. Within ten years, its top line had more than doubled. The product description became clear. It went from being known to being known.
Instead of competing with brand claims, Dove found a startling data point that could help rectify that: less than 4% of women consider themselves beautiful. Its Real Beauty campaign reinvented an entire category. Nielsen later reported that for every $1 Dove invested in product development, the campaign generated $4.42 in incremental revenue.
These were not tricks. They were actions with meaning. Meaning creates a lasting need that you don’t get from value-driven performance marketing. The definition fills the tank with water so that the faucet produces real results, the real limit.
Consistent product performance
Avoiding the plateau of indifference is a smart decision about what problem you are willing to have in your customers’ lives. The first three places:
- Do the puzzle test: Ask where your stated purpose conflicts with your behavior. CVS faced that dilemma on its board, and changed the company’s trajectory.
- Get the real person: Snickers has built a decade of growth on a simple understanding: You’re not you when you’re hungry. Any snack product you could want. No one did. Snickers opened minds to the idea of shopping at full price.
- Check the visibility of your AI: Ask ChatGPT, Gemini and Perplexity to recommend solutions for your category. If your brand doesn’t appear or is vaguely visible, you’ve just received a brand assessment that’s more specific than most tracking studies can provide.
Performance marketing is not broken. Unlocking levels that are not connected to anything is not. Product description is the reservoir that feeds them.
The only way forward is to find ways to gain recognition. Solve something. Do something. Say something that proves your brand cares more than buying. That way you get more transactions.
Fill the demand tank. Put those fauces back to work.
Key takeaway: Generated by AI
- Performance marketing captures existing demand but does not generate new demand itself
- Growth plateaus when brands fail to create meaning and differentiation
- The plateau of indifference shows a state of awareness without choice
- The money spent cannot compensate for a weak or unclear position
- AI-mediated acquisition prioritizes brands with strong, consistent narratives
- Visibility is increasingly dependent on shadow signals from multiple sources
- Product design serves as a prerequisite for sustainable efficiency
- Diversification reduces reliance on discounting and protects margins
- Organizations must define and consistently demonstrate the problems they are solving
- Visibility testing in AI systems provides an effective assessment of product transparency
