Published figures for a standard Australian brand tracker, and why the cheapest version is usually the worst value per dollar.
Nobody in Australian brand research publishes prices. Ask five agencies what a tracker costs and you will get five requests for a scoping call, which is a reasonable way to run a business and a frustrating way to plan a budget. If you are trying to work out whether brand tracking belongs in next year's plan at all, the absence of a number is not neutral. It usually means the line item never gets proposed.
So here are real figures, with the reasoning behind them.
The ranges below are what a custom brand tracking program costs in the Australian market as at 2026. They are not a rate card, because every study is specified to the question it answers. They are a way to sanity-check a proposal, brief a program with a realistic budget, or decide early that the scope you have in mind does not fit the money available.
The more useful part is the second half: what actually moves the number, and which of those levers are worth pulling.
There are two honest reasons and one less honest one.
The first is that research genuinely is specified per project. The same three words, "a brand tracker", can describe a fifteen-thousand-dollar annual study and a two-hundred-thousand-dollar multi-market continuous program. A single published price would be wrong for almost everyone.
The second is that a stated number gets quoted back at you. A provider who publishes a floor will be asked why this particular study costs more than the floor, and the answer takes explaining. Silence avoids the conversation.
The third reason is that pricing opacity favours the seller. When a buyer has no reference point, the first number they see becomes the anchor, and they have no way to tell a well-scoped program from an expensive one. That is good for margins and bad for the category, because it keeps brand measurement feeling like a discretionary luxury rather than a line item with a known cost.
None of that helps a marketing director trying to build a plan in September for a study that needs to run in February.
Three shapes cover most of what Australian organisations actually commission.
From $15,000. One market, one consumer audience, a sample of 400, a single annual wave, a questionnaire of around ten minutes, senior analysis and a reporting dashboard. This is the standard shape and it answers the questions most brands need answered: where the brand sits, where it is losing, against whom, and what would need to change.
$15,000 to $25,000. The same structure with a fifteen-minute questionnaire, broader metric coverage and deeper analysis. More ground covered in a single wave, which in practice means the study can address strategic questions rather than only reporting position.
$25,000 to $60,000. Multiple audiences, several surveys within one project, or B2B and low-incidence samples. The range is wide because the drivers compound: two audiences and a hard-to-reach sample is a different project from two audiences of general consumers.
A very short study, five minutes or less, can come in under $10,000. It happens, and we quote it when that is genuinely what a client needs. It is also the option we most often advise against, for reasons the next two sections explain.
Five things, in roughly the order they matter.
Sample reachability, not sample size. Four hundred is the standard base for a national consumer study, and it gives a margin of error of about plus or minus 4.9 per cent at 95 per cent confidence, which is tight enough to make decisions on. Adding respondents costs money but rarely much. What costs money is difficulty. General population is inexpensive. Category buyers are more expensive. Senior decision-makers in a specific industry can cost many times more per completed response, because most of the spend goes on screening out people who do not qualify. Reaching genuinely niche B2B audiences is a specialist exercise and it is priced accordingly.
Subgroup requirements. This is the one that catches most briefs. A national figure needs 400. A national figure plus a defensible read by state needs a great deal more, because each state needs its own usable base. Every cut you intend to make a decision on has to be sampled for. Deciding those cuts at the briefing stage rather than at the reporting stage is the single biggest cost saving available to a buyer.
Questionnaire length. Longer surveys cost more per respondent, because panel incentives scale with time. But the relationship is not linear, and that matters more than it sounds. See below.
Number of waves. The most expensive variable and the least interrogated. Four waves cost roughly four times one wave. In categories where awareness and perception shift over quarters rather than weeks, three of those waves are usually measuring noise. We have written before about why we advise most clients out of continuous tracking, and the argument is commercial as much as methodological.
Analysis depth. The difference between a data file with charts and a report that tells you what to do about it is senior time. It is the part of a research budget that most directly determines whether the study changes a decision, and the part most often cut first.
Because a large share of the cost of a brand tracker does not depend on how long the survey is.
Designing the questionnaire, setting the sample frame, programming and testing, cleaning the data, weighting it, analysing it and writing it up all have to happen whether the survey runs for five minutes or fifteen. Only the panel incentive scales cleanly with length.
That produces a specific and counter-intuitive result. A five-minute study can come in under $10,000. A ten-minute study is around $15,000. You are paying roughly fifty per cent more and getting a study that can answer perhaps twice as much, because the fixed work is already done and the extra spend is buying question time rather than overhead.
The five-minute version is not a cheaper brand tracker. It is a different and much thinner product. It will give you awareness, consideration and a favourability score. It will not have room for the competitive set, the attribute battery, the drivers of choice, or the diagnostic questions that explain why the numbers are what they are. You will get a position without an explanation, which is precisely the failure mode we describe in what to measure and why the levels alone tell you very little.
The practical consequence: if your budget is around $10,000, the highest-return decision is usually to find the additional five and commission the study that can actually answer something. If the extra five thousand genuinely is not there, an annual ten-minute study every second year will teach you more than a five-minute study every year.
Four things worth checking, whoever you are talking to.
What sample, and how reached. A quote should state the base size and the source of the sample. Panel quality varies enormously and it is invisible in the final report, which is why poor sample can quietly invalidate an entire study without anyone noticing.
Which subgroups are supported. Ask directly: which cuts of this data can I present to my board without a caveat? If the answer is national only, and you intended to report by region, the study is mis-specified and you want to know now.
Who does the analysis. In larger agencies, the senior person who scopes the study is often not the person who analyses it. That is not necessarily a problem, but it should be a stated fact rather than an assumption.
What is fixed and what recurs. Setup costs are largely one-off. A second wave of an existing tracker should cost meaningfully less than the first, because the design work is done. If a quote for wave two matches wave one, ask why.
If you are building a plan now for research that runs next year, the useful figure is $15,000 for a properly specified annual tracker, and $25,000 and upward if the brief involves multiple audiences or a hard-to-reach sample. Those are numbers you can take into a budget conversation without a scoping call first.
The more valuable thing to take away is the shape of the trade-off. Almost every instinct a budget-constrained team has about reducing research cost is the wrong lever. Cutting questionnaire length saves little and costs a great deal. Cutting sample below the point where your subgroups hold makes the study undecidable. Cutting analysis produces data nobody acts on.
The lever that does work is frequency, and it is the one nobody pulls, because quarterly tracking sounds more rigorous than annual tracking and nobody wants to argue the opposite in front of a board. In most Australian categories, one properly built annual wave with real depth, supplemented by a short dip when a campaign or a market event demands one, will produce better decisions than four thin quarterly waves at four times the price.
That is not a cheaper version of brand tracking. It is a better-designed one that happens to cost less.
Why does the same brief get quoted at very different prices?
Usually because the studies are not the same, even when the brief is. Providers make different assumptions about sample source, base size, subgroup support and how much senior time goes into analysis, and those assumptions rarely appear in the price. The way to compare quotes is to fix the specification yourself: state the base, the audience definition, the subgroups you need to report on and the questionnaire length, then ask each provider to price that. Differences that survive are real.
Is a cheaper syndicated dashboard a reasonable substitute?
For some purposes. Syndicated products cost less because the questionnaire is shared across subscribers, which is also their limitation: you get a standard metric set on a standard audience, and you cannot ask your own questions. If your need is a comparable read on awareness and consideration in a covered category, they work. If you need to know why your consideration is falling, or how a specific segment responds to a specific proposition, the questions that answer that are the ones a shared questionnaire cannot carry.
Can we run a tracker in-house to save money?
You can, and the saving is smaller than it looks. The survey tool is the cheap part. The cost sits in sample sourcing, questionnaire design that does not bias the answers, weighting, and the analysis that turns a data file into a decision. Teams that try this usually produce a first wave successfully and then find the second wave is not comparable to the first, at which point the trend data, which is the entire point of tracking, is gone.
If you are budgeting for brand research and need a figure before you can put it into a plan, the ranges above should be enough to start. When you are ready to specify a study properly, we will scope it with you and quote against the brief rather than against a template.
Schedule a free 30-minute consultation to talk through scope and budget for your next brand study.
Or if your brief is already clear, request a custom quote directly.
Tom Morris is Managing Director of Brand Health, an Australian brand research consultancy specialising in custom brand tracking. Connect on LinkedIn.