The Double Jeopardy of Performance Marketing: Why Smaller Brands May Pay More to Compete

Paid media efficiency is usually treated as something created inside the advertising account. If cost per click is high, improve the ads. If acquisition cost is weak, tighten the targeting. If conversion is poor, fix the landing page.

Those are all reasonable places to investigate, and poor execution can destroy the economics of an otherwise attractive channel. But they do not explain everything, because the customer seeing the advertisement does not enter the auction without prior knowledge.

They may already know one advertiser, trust it, have purchased from it before or have seen it repeatedly for years. Another company in the same auction may be completely unfamiliar. That difference exists before either advertisement is served, and it matters because modern advertising auctions do not operate purely on how much an advertiser is willing to bid. They also incorporate estimates of advertising quality and the probability that a user will respond.

Google explicitly uses auction-time assessments that include expected click response and ad relevance as part of Ad Rank. Meta describes its auction as combining the advertiser's bid with an estimated action rate and ad quality.

This creates what I think of as a second form of Double Jeopardy for smaller brands.

The original Double Jeopardy law is well established in marketing science. Smaller brands tend to have fewer buyers and those buyers tend to be slightly less loyal than those of larger brands.

The additional disadvantage is created when those differences in existing brand strength meet algorithmic advertising markets. A smaller brand has fewer people who already know or consider it, while the systems through which it tries to acquire customers partly reward the likelihood that those customers will respond.

The platform does not need a variable called "brand size" for this to matter. It can price the behavioural consequences of brand strength.

The auction starts before the auction

McKinsey's work on the consumer decision journey provides a useful starting point. Its research found that brands already present in the customer's initial consideration set were more than twice as likely to be purchased as brands that entered consideration later. Among customers who switched brands, 69% of the brands eventually purchased had already been present in the initial consideration set when shopping began.

The implication is not that unfamiliar brands cannot win. They clearly can. It is that customers enter an active buying process with prior knowledge and preferences that influence what happens next.

That matters enormously for performance marketing.

When a customer searches a category and sees several advertisements, the advertising platform sees competing bids, creative assets, landing pages and predicted responses. The customer sees brands they recognise alongside brands they do not.

They bring previous advertising exposure, product experience, recommendations, reputation and memories into the interaction. Paid media therefore does not create the entire probability of response at the moment the advertisement appears. It inherits part of that probability from what happened beforehand.

This is why the traditional separation between brand and performance is economically misleading. Brand investment can change the state of the customer who later encounters the performance advertisement. Performance marketing then monetises a demand environment that it did not create on its own.

What Google and Meta actually price

Google is where this argument needs the most precision because it is easy to overstate the mechanism.

The visible 1-to-10 Quality Score inside Google Ads is a diagnostic metric rather than a direct auction input. Google says its components include expected clickthrough rate, ad relevance and landing-page experience, but its real-time Ad Rank calculation uses auction-time assessments alongside the advertiser's bid, competition, search context, thresholds and the expected impact of assets.

Google also states that higher-quality advertising can achieve better positions and lower costs.

None of this means Google has a rule saying that larger brands deserve cheaper clicks. Market share and Share of Search are not documented auction inputs, and I would not claim that Google sees a famous company and simply decides it is more relevant.

The important mechanism is subtler.

Expected clickthrough rate concerns the probability that somebody will respond to the advertisement. Existing familiarity can influence that response. A customer who already knows, understands or trusts one company may react differently to its advertisement than to an otherwise comparable advertisement from an unknown competitor.

The auction can therefore reward the resulting response without needing to identify brand equity as its cause.

Meta creates a similar issue. Its advertising auction includes the advertiser's bid, an estimated action rate and ad-quality signals. The estimated action rate represents Meta's prediction of whether the person will perform the desired action.

Again, Meta does not state that stronger brands receive preferential treatment. Brand equity is not a documented auction variable. The connection is an inference from the way customer behaviour interacts with the mechanism.

If prior familiarity or consideration increases the probability that somebody clicks, converts or otherwise performs the desired action, some of the economic benefit of brand strength can appear inside the performance system as stronger predicted response.

That does not make brand strength the only explanation for performance differences. Creative quality, proposition, price, targeting, placement and campaign mechanics can all have large effects. A small brand with outstanding advertising can outperform a much larger competitor running ineffective work.

But it does mean that comparing two advertisers on CPA or CPC alone is not necessarily a clean comparison of media-team competence.

They may not be starting from the same place.

Smaller brands may be trying to create and capture relevance simultaneously

For an unfamiliar company, a performance advertisement can have to do several jobs at once. It may need to earn attention, introduce the brand, establish enough relevance to receive a click, create trust, enter the customer's consideration set and eventually convert the purchase.

A familiar competitor may have completed several of those jobs before the buying journey started.

Yet performance reporting generally compares the two advertisers as though every customer entered the auction without prior preference.

This creates a difficult economic position for the smaller brand. It already has fewer people actively thinking about it, and it may then need to pay for enough exposure to overcome that disadvantage while competing in systems whose economics partly depend on predicted response.

The company is trying to build demand and harvest demand through the same mechanism.

This is one reason I am cautious when weak performance efficiency is interpreted immediately as evidence of poor performance marketing. Sometimes it is. Weak creative, bad placements and broken campaign structures are common and should be fixed.

But performance efficiency also depends on the demand environment into which the campaign is released.

In our own work, we have seen performance indicators improve as brand demand strengthens. That is observational evidence rather than proof that every improvement in CPC, CTR or conversion was caused by the change in brand strength. Competition, creative, pricing and execution can move at the same time.

The observation is still commercially important because it challenges the idea that paid-media efficiency is created entirely inside the advertising platform.

The bigger problem is what happens to the budget

The auction mechanism becomes much more consequential when the resulting metrics are used to allocate capital.

Imagine a smaller brand with relatively weak awareness and consideration. Its acquisition costs are high because it is competing for customers against brands that already occupy a stronger position in the market.

Management sees the high CPA and demands greater efficiency.

Brand investment, meanwhile, is harder to connect directly with immediate conversions. Paid search, retargeting and conversion campaigns produce cleaner attribution, while investment intended to change future consideration creates effects earlier and often over a longer period.

The reporting system therefore produces an apparently rational recommendation: put more money into the channels that can prove they are generating sales and reduce the activity whose return is harder to observe.

That can make the underlying problem worse.

More capital flows towards harvesting the relatively small pool of customers already willing to consider the brand. As the business spends more aggressively against that pool, marginal returns begin to deteriorate. The company gets better at competing for existing demand without necessarily increasing the number of future buyers predisposed to choose it.

Performance then becomes harder to scale, which creates further pressure to optimise the performance account.

This is a self-reinforcing allocation problem.

The business can reach a point where it concludes that it cannot afford brand investment because its performance marketing is too expensive, when weak underlying demand may be one of the reasons the performance marketing is expensive in the first place.

That is the part of the argument I find most important.

The danger is not simply that smaller brands might pay more for a click. It is that a measurement system focused on short-term performance efficiency can respond to that disadvantage by allocating capital in a way that preserves it.

Brand investment can change the economics of demand capture

This is also why I think the financial value of brand is understated when brand and performance returns are treated as completely independent.

If demand-generating investment increases the probability that customers know, consider and trust the company, its commercial effect may appear in several places.

Some of the value may ultimately appear as additional direct or organic demand. Some may appear as higher conversion when customers reach the website. Some may appear as improved performance-marketing economics when people become more willing to respond to subsequent advertising.

The performance account receives the observable benefit even though it did not necessarily create the entire change in customer behaviour.

This does not mean that every reduction in CPA should be attributed to brand. It means the interaction should not be assumed away simply because organisational reporting prefers separate channel returns.

The same logic works in reverse. If customer preference weakens, paid acquisition can become more difficult while the marketing team spends months looking for the explanation entirely inside campaign settings.

A measurement system should be capable of distinguishing those possibilities.

This is where the different evidence layers need to work together.

At the growth-quality level, we want to know whether relative customer demand is strengthening. Share of Search, branded organic search and buyer evidence can help us observe that.

Inside media execution, we need to understand whether poor performance is explained by creative, placements or campaign mechanics.

If those foundations are sound and a large allocation decision remains uncertain, stronger causal work can examine whether changing demand-generating investment also changes subsequent acquisition economics.

The purpose is not to attribute every movement to one source. It is to understand which constraint is currently limiting growth.

Creative still matters enormously

None of this should become an excuse for weak advertising.

Creative is part of the treatment. An unfamiliar advertiser with distinctive, persuasive work can create attention and memory that did not exist before. A famous company running ineffective creative can waste a substantial inherited advantage.

The media determines where and how widely the message is distributed. The creative determines what people actually experience.

That interaction matters because a business can misdiagnose weak performance in either direction. It can blame limited brand awareness when the advertisement itself is poor, or endlessly optimise campaigns when the real constraint is that too few customers enter the buying journey willing to consider the company.

Both problems can exist at the same time.

This is why I would examine brand demand and execution economics separately before using either as the explanation for performance.

The objective is not to protect brand budgets from scrutiny. It is to identify whether the marginal constraint sits in creating demand, capturing it or in the quality of the execution connecting the two.

How to investigate the effect in practice

I would begin descriptively rather than attempting to force the whole mechanism into an econometric model.

Look at differences in relative brand demand across markets using Share of Search, branded organic search and, where available, consideration data. Then compare those differences with performance economics in the same geographies.

For paid search, relevant indicators might include non-brand CTR, CPC, conversion behaviour and CPA. For paid social, response and conversion economics can be examined alongside the creative and audience mix delivered in each market.

If stronger-brand markets repeatedly show better demand-capture economics, that is useful evidence, but it is not causal proof. Competition, media prices, income, product availability, promotions and customer composition can differ geographically.

The next useful comparison is therefore movement within the same markets over time. If relative brand demand strengthens while the performance setup remains broadly comparable, does subsequent acquisition efficiency change as well?

The strongest version would deliberately create variation in demand-generating investment across suitable markets and observe two outcomes. First, did the intervention actually change an observable measure of demand or consideration? Second, did the economics of subsequent demand capture change relative to an appropriate counterfactual?

That is a more interesting experiment than simply asking whether the brand campaign generated revenue.

It asks whether stronger customer preference changed the cost of acquiring the next customer.

The result would still need careful interpretation because media delivery, competition and treatment intensity can vary across geographies. But it would move the discussion from a plausible mechanism towards evidence about its actual commercial importance.

Performance marketing inherits the market it enters

The claim here is not that Google or Meta secretly favour large companies. Their published auction mechanics do not establish that.

Nor is the claim that smaller brands are condemned to higher CPCs or CPAs.

The point is that customer response has a history.

Before somebody sees a performance advertisement, they have already encountered brands, products, recommendations, experiences and advertising. Those exposures influence what they recognise, what they trust and what they are willing to consider.

Advertising systems then optimise partly against the behaviour that follows.

For a smaller brand, this creates an additional growth challenge. It needs to increase the number of people willing to choose it while simultaneously competing for those customers against companies that already possess greater mental availability.

If management looks only at the resulting performance metrics, it can mistake an inherited market advantage for superior campaign execution and an inherited market disadvantage for poor performance marketing.

Worse, it can react by diverting capital away from the activity capable of changing that starting position.

The right response is not automatically more brand investment, just as it is not automatically more performance optimisation. The allocation depends on which constraint the evidence shows to be binding.

But performance marketing should never be evaluated as though it begins from a neutral customer.

It inherits the demand the brand has already created.