Insights
The Attention Economy: Are Brands Competing for Customers or Their Time?
Why customer attention, advertising metrics and campaign engagement do not always translate into meaningful business growth.
Digital Marketing
A campaign can dominate a conversation and leave a business little stronger. Millions of views may produce little understanding of the product. A provocative message may be remembered while the brand behind it is forgotten. These possibilities expose a central ambiguity in digital marketing: attention is necessary for communication, but acquiring attention is not the same as acquiring a customer.
The more difficult question is economic. Under what conditions does a moment of attention become a change in memory, preference or behaviour that creates value? Asking this question moves marketing beyond the celebration of visible activity. It also challenges a tempting assumption: that because digital environments measure exposure precisely, they explain persuasion equally well.
Attention is an input, not a common currency
The phrase attention economy suggests that all attention can be placed on one scale. In practice, a second spent accidentally watching an advertisement differs from a second spent comparing an important purchase. Duration alone cannot reveal whether someone understood a claim, associated it with a brand or considered it relevant.
Managers should distinguish availability, engagement and consequence. An advertisement may have been available to view without being noticed. It may have been noticed without being believed. It may have been believed without changing a choice because price, availability or prior preference dominated the decision. These stages are connected, but they cannot be substituted for one another.
This distinction also explains why reducing the customer’s time can be valuable. A clear product comparison or an accurate delivery estimate might shorten a visit while improving the decision. If a dashboard treats longer sessions as inherently better, it can reward confusion. An efficient customer experience may be commercially superior to an absorbing one.
Whose objective does the metric serve?
Digital marketing operates through several parties with partially aligned interests. A publisher may benefit from continued consumption. An advertising platform may optimise delivery against a selected event. A brand may seek profitable demand, while a customer wants a useful purchase with minimal effort. A metric can serve one party without serving all of them.
Consider a hypothetical professional education provider promoting an analytical course. A sensational clip could attract broad interest at low cost. A carefully explained case exercise might attract fewer viewers but more people willing and able to complete the course. The best creative choice depends on the intended audience and business objective, rather than a universal preference for reach or depth.
The management task is to specify a chain of reasoning: which audience is being reached, what it should learn and which subsequent behaviour would indicate value. Without this chain, a campaign can become an efficient mechanism for producing the wrong outcome. Improving the metric then strengthens the misalignment rather than correcting it.
Attribution is not causation
A person who clicks an advertisement and buys a product may already have intended to buy it. Retargeting campaigns make the issue especially visible: people previously interested in a brand are more likely both to encounter its advertising and to purchase. The observed sequence does not reveal what would have happened without the advertisement.
Lewis and Rao’s research on large advertising field experiments shows how difficult it can be to estimate returns precisely, even with extensive data. Customer purchasing varies greatly relative to the incremental effect being measured. Their argument is a caution about statistical power and uncertainty, rather than a claim that advertising never works (Lewis & Rao, 2015).
A useful managerial distinction follows. Attribution allocates credit within an observed journey; causal inference asks how behaviour changes because of an intervention. Both can inform decisions, but they answer different questions. A precise attribution report cannot, by its precision alone, establish incremental sales or justify a higher advertising budget.
Test the proposition that actually matters
A hypothetical retailer might compare two messages. One produces more completed video views; the other produces more profitable first purchases. If the objective is customer acquisition, choosing solely by views would answer a convenient question rather than the relevant one. If the objective is building awareness among future buyers, immediate purchases alone may also be insufficient.
A well-designed evaluation begins with an explicit hypothesis and time horizon. Random assignment, where feasible, can help estimate the effect of exposure or campaign eligibility. Practical complications still matter: groups may influence each other, purchases may happen offline and a short test may miss delayed effects. Honest evaluation states these limits rather than hiding them behind a single return figure.
Smaller organisations need not pretend that every campaign can sustain a definitive experiment. They can use focused tests, compare evidence from several measures and report uncertainty. The discipline is to avoid making a strong causal claim from weak observational evidence. A modest conclusion can produce a better decision than a confident but unsupported one.
The long and short horizons of a brand
Attention can contribute to value in more than one way. It may prompt an immediate action, help someone remember a brand later or clarify what makes an offering distinctive. These mechanisms imply different measures and evaluation periods. A campaign designed to explain an unfamiliar category should not be judged exactly like a reminder shown near purchase.
Yet a long horizon should not become an excuse for untestable storytelling. Managers can specify intermediate expectations: improved understanding of a proposition, stronger recognition among relevant buyers or greater consideration when a need arises. These indicators remain imperfect, but they make the strategy open to examination.
The commercial test also extends beyond the sale. Discount-led attention can bring customers whose repeat purchases do not cover acquisition costs. A campaign may raise revenue while weakening contribution after returns, service and incentives. Marketing and finance therefore need a shared account of customer value, including when it is realised and what it costs to sustain.
Persuasion has a boundary
Some forms of attention acquisition undermine the conditions for informed choice. The US Federal Trade Commission’s 2022 report describes practices such as disguised advertising, hidden charges and difficult cancellation journeys. Its examples show why a conversion can represent impaired consumer choice rather than successful communication (FTC, 2022).
The wider managerial issue is whether the business would defend the journey if the customer understood exactly how it worked. A truthful sense of urgency differs from a fabricated deadline. A useful reminder differs from a process that makes refusal unnecessarily burdensome. Those distinctions should be addressed during campaign and interface design, not only after complaints arrive.
Trust is also operational. A misleading promise creates work for customer service, complicates retention and weakens the credibility of future claims. Even before assigning a monetary value to reputation, a manager can trace these consequences through refunds, repeat enquiries and the effort needed to repair the relationship. Short-term conversion should be evaluated alongside these costs.
Learn to audit a claim of success
For students, a productive exercise is to examine the same hypothetical campaign from three positions: platform analyst, brand manager and customer. Each group should define success, identify the evidence it would accept and explain which outcomes its preferred metric might conceal. The disagreement reveals the economics behind the dashboard.
Faculty can deepen the discussion by asking students to design the counterfactual. Who would probably have purchased anyway? What behaviour would count as a meaningful improvement? How long should the effect persist? A campaign critique becomes more rigorous when it separates a plausible mechanism from an observed correlation.
Brands do compete for people’s time, but time is rarely the final objective. The stronger ambition is to earn useful consideration and convert it into a relationship that makes economic and human sense. Attention deserves investment when it contributes to that purpose. When it becomes the purpose itself, marketing risks mistaking the visibility of its activity for the value of its work.
References
1\. Lewis, R. A. & Rao, J. M. (2015). The Unfavorable Economics of Measuring the Returns to Advertising. The Quarterly Journal of Economics, 130(4), 1941–1973. doi:10.1093/qje/qjv023.
https\://doi.org/10.1093/qje/qjv023
2\. Federal Trade Commission (2022). FTC Report Shows Rise in Sophisticated Dark Patterns Designed to Trick and Trap Consumers. Summary of Bringing Dark Patterns to Light.
Sources verified online: 20 October 2026\.