Brand search often has the strongest reported return in the account, which makes it a reassuring place to put money when the rest of the plan feels uncertain. The difficulty is that someone searching for your business already knows who you are. Your ad may help them buy, but the platform report can’t tell you how many would have reached you through the organic result anyway.
That leaves a more useful question for the budget meeting: how much valuable business would you lose if you reduced that spend, and what would you gain by using the money elsewhere? Answering it requires more than pointing to a high ROAS, although it also requires more care than declaring all brand advertising unnecessary.
Separate the reasons for buying the ad
A brand campaign might protect demand when competitors advertise against your name, steer people towards a relevant offer or remove friction from an important journey. Those are plausible reasons to invest, but each needs an observable consequence. If the argument is defensive, for example, identify where competitors are present and what customer loss the advertising is expected to prevent.
The eBay field experiments reported by Blake, Nosko and Tadelis found no measurable short-term benefit from brand-keyword advertising in their setting. That’s evidence that reported search performance can substantially overstate causal value; although not a transferable instruction to stop buying your own brand. Your competitive environment, organic visibility and customer journey may differ.
Compare total outcomes
Suppose a brand campaign spends £10,000 and reports £100,000 of revenue. Its reported ROAS is 10, but that ratio doesn’t answer what disappears when the ads are removed.
Suppose a credible test comparison estimates £8,000 less total business revenue without the campaign. At a 40% contribution margin before advertising, the implied contribution protected by the ads is £3,200. Against £10,000 of spend, that leaves £6,800 less contribution than the no-ad alternative, before considering any other measured consequences.
If the estimated revenue difference were £35,000 instead, the same margin would imply £14,000 of contribution, leaving £4,000 after the advertising cost. The break-even revenue difference is £25,000: £10,000 divided by 40%. A decision therefore needs the plausible range around the estimate, as well as a contribution definition agreed with finance.
Design the test around the risk
Define exactly what changes. Pure brand terms may behave differently from brand-plus-product queries, while competitor pressure can differ by geography or device. A broad pause that mixes all those cases could obscure the very distinction you need for the budget decision.
Where there are enough suitable markets, a geo experiment can compare areas with reduced brand spend against areas that retain it. The design needs comparable pre-period behaviour, controls for material business changes and attention to spillovers. A simple before-and-after pause is much harder to interpret because seasonality, promotions or underlying demand may change at the same time. But it may be necessary if you can’t use geo splits.
Judge total business revenue or contribution across the affected routes, including organic and direct where measurement permits. If paid-search revenue falls while organic revenue rises by a similar amount, the attribution report has moved even though the commercial outcome may barely have changed. Equally, migration into organic clicks doesn’t prove that every lost paid customer was recovered, so reconcile the overall result.
A usable test brief
Decision: retain, reduce or segment the current brand-search budget.
Scope: define included queries, markets, devices and campaign settings.
Primary outcome: contribution before tested media, with a consistent revenue and margin definition.
Design: establish a credible control, randomisation where feasible and safeguards against contamination.
Detectable effect: assess whether available volume can distinguish effects around the economic break-even point.
Timing: cover relevant trading cycles and conversion lag; agree the analysis window before launch.
Guardrails: define acceptable commercial loss and how competitor changes or technical incidents will be handled.
Decision rule: specify the estimate and uncertainty that would support retaining, reducing or continuing to test the spend.
Avoid ending a test when the first favourable number appears. If the design can’t distinguish a worthwhile effect from an uneconomic one, describe the result as uncertain and decide whether better evidence is worth buying.
Spend according to what the ad changes
The answer may be to retain protection in contested searches while reducing spend where a strong organic presence recovers demand. It may also be to keep the campaign because the measured contribution justifies it. Either way, the decision becomes more defensible when it rests on the business outcome the advertising changes.
GV Marketing helps teams turn attribution disagreements into proportionate tests and investment decisions. If brand search is absorbing budget because its dashboard looks reassuring, start by making the case you need the evidence to answer.
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Read next: marketing budget allocation and choosing measurement for your decision.