Brand tracking is only useful when teams can trust what the data is telling them. But who you survey, which competitors you include, how you word questions and how often you collect data can all affect the results.
Consistency matters. If you change the methodology mid-study, it becomes harder to tell whether a shift in awareness, consideration or brand perceptions reflects a real change or if the research process changed.
In this article, we’ll walk through how to design a brand tracking study that produces useful data your team can rely on, from choosing your audience and metrics to structuring the questionnaire and setting the right cadence.
A brand tracking study is a recurring research program that measures consumer perceptions and behaviors toward a brand over time. It typically tracks metrics such as awareness, consideration, usage, preference and brand associations, often alongside key competitors.
Its value is in repetition. A one-off brand health study only captures performance at a specific moment, while a repeatable brand tracking study shows how those metrics change over time. These changes are what helps teams spot early trends to investigate.
Good brand tracking starts with identifying the decisions or goals of your team. The study design follows from there.
More metrics don’t mean better. They can add confusion and make it harder to see what matters.
Imagine a marketing team spending six hours every Monday building a presentation that tracks 28 metrics. All those numbers don’t make it easier to identify what information helps guide decisions. The same problem can creep into brand tracking. Every metric adds something else to collect, analyze and report. Before adding metrics, start with the business questions you need to answer, then decide what will help you answer them.
For every metric you plan to track, ask: What would we do differently if this number moved? If there isn't a clear answer, consider whether the metric needs a permanent place in your tracker.
Who needs to be included in your tracker? The answer depends on what you’re trying to learn.
If growth is the goal, for example, surveying only existing customers won’t tell you much about the people you still need to win over. You may want to hear from category buyers instead, including people who know your brand but haven't bought from you.
Be specific about who qualifies for the study, then keep those criteria consistent. If the audience changes from one wave (a single round of data collection) to the next, your results may change and not give you a consistent view over time.
Your brand doesn't operate in a vacuum, so don't track it that way. Choose competitors that give you useful context for understanding whether your brand is gaining or losing ground.
And think beyond the competitors on your internal shortlist. A sparkling water brand may see other sparkling waters as its primary competition, but a consumer looking for something refreshing with lunch might also consider soda or flavored still water. But keep in mind, there’s no need to add every possible competitor because too many can make the tracker harder to manage without making the findings more useful.
Again, you don't need to track every available brand metric. Choose the ones that answer the business questions you defined at the start.
Common brand tracking metrics include:
The right mix will depend on what your team needs to understand. A newer brand may pay close attention to whether awareness and consideration are growing, while an established brand might focus more on preference, associations or mental availability.
The goal is to track a focused set of measures that helps you understand what is changing and where your team may need to act.
Once you’ve decided what you need to measure, the next step is turning those objectives into a survey you can use consistently.
Designing a survey is surprisingly complex. Even small choices in wording or question order can influence how people respond, so questionnaire design is an important part of protecting the survey’s integrity.
Every question in your tracker should have a clear job. Start by asking yourself which objective or business decision it supports.
By tying the survey to business questions, you can avoid turning your brand tracker survey into a catch-all. This is a long-term questionnaire that measures brand health over time. It’s not the place to seek feedback about upcoming products or a new campaign.
The best way to compare results from one wave to the next is to keep the questions consistent. Pew Research Center recommends using identical question wording when comparing results over time and keeping questions in a similar context within the survey.
Create a process for deciding when a core question can change. And if you decide a change is necessary, document it so your team knows where a break in the trend may occur.
Questions should be clear and neutral, but wording isn't the only potential source of bias. The order in which respondents see questions, brands and response options can influence their answers.
For example, asking someone about a brand's advertising before asking about their overall perception of the brand could influence the response that follows. Pew's survey research has demonstrated these question-order effects and uses randomization in appropriate cases to distribute potential order bias across respondents.
Randomize brand or response-option order where appropriate, avoid leading language and consider what respondents have already seen before they answer each of your core measures.
Consistency doesn't mean your tracker can never address something new. A useful approach is to protect a consistent set of core questions while reserving limited space for emerging business needs.
For example, a restaurant brand might consistently track awareness, consideration and key brand associations, then add a short set of questions about value perceptions following a major pricing change.
Be intentional about where those questions appear, because questions asked earlier in a survey can influence responses to later questions. Adjusting the survey interferes with consistency.
A reliable brand tracker depends on having a sufficient number of the right consumers. Your sample needs to stay consistent as you compare results across markets or audience segments.
There's no universal sample size for a brand tracking study. Start with what you need to analyze: the total market, individual markets, specific audience segments or some combination of these.
This matters because every time you break your sample into smaller groups, you have fewer responses behind each result. A sample that is large enough to understand overall brand awareness, for example, may not be large enough to confidently compare awareness among Gen Z consumers in four different markets.
Your required sample size depends in part on the level of precision you need and the subgroups you plan to analyze. The American Association for Public Opinion Research (AAPOR) notes subgroup results have their own margins of sampling error based on the size of those groups.
Once you've defined your sample, keep the criteria consistent from one wave to the next. Otherwise, a change in who you're surveying can look like a change in brand performance.
Say your brand has 50% consideration in the Northeast and 25% in the South. In one wave, respondents are split evenly between the two regions. In the next, 70% of your sample comes from the Northeast. Your overall consideration score could rise even if consideration within each region hasn't changed. That's why sample consistency matters. A shift in who you're surveying can look like a shift in brand health.
Document eligibility requirements, quotas and other sampling criteria from the start so each wave gives you a comparable view of your audience.
Global brand tracking requires a balance between consistency and local relevance. Audience definitions, category dynamics and competitive sets may differ by market.
Language matters, too. For multinational studies, translated questions should preserve the original meaning rather than simply translating each word to keep metrics as comparable as possible.
Your brand tracking frequency should reflect how quickly your market changes and how often your team needs brand health data to make decisions. That might mean collecting data continuously or running research at regular intervals throughout the year.
Remember, more frequent measurement doesn't mean you need to react to every change you see.
Continuous brand tracking collects data throughout the year, giving you an ongoing view of how your brand and category are changing.
This can be especially useful in seasonal or fast-moving categories. Because data is collected across different days, weeks and events, you're less likely to base your view of brand health on an unusually good or bad moment in the market.
Continuous brand tracking doesn't mean you need to analyze every fluctuation as it happens. Instead, review data across multiple waves for patterns that may reflect changes to investigate.
Monthly, quarterly or other scheduled waves may be enough when brand perceptions change more gradually, or teams only need brand health data at particular points in their planning cycle.
Choose a cadence that gives you enough data to spot meaningful changes without collecting more research than your team can realistically use.
Whatever frequency you choose, keep it consistent. Regular intervals make it easier to compare results and understand how the brand is moving over time.
Sometimes you need a point-in-time read rather than ongoing measurement. A brand health snapshot can help you establish where your brand stands before entering a new market or fill a short-term knowledge gap when continuous tracking isn't necessary.
For example, a brand considering expansion into a new market could measure current awareness, consideration and perceptions alongside local competitors. That gives the team a baseline to evaluate the opportunity and decide what it needs to learn next.
Zappi's Brand Health Snapshot is designed for this type of research, using the same survey as its continuous tracker but deploying it for a single wave.
A brand health score doesn't tell you much in isolation. You need a point of comparison to provide context.
Your first wave establishes a starting point for the metrics you've chosen to track. From there, you can measure how awareness, consideration, perceptions and other brand health measures change.
A baseline is especially useful ahead of a major business change. If you're launching a new campaign, entering a new market or repositioning the brand, measuring brand health beforehand gives you a reference point for the changes you see later.
Your own numbers tell only part of the story. Competitive benchmarks show whether changes are unique to your brand or happening more broadly across the category.
Say consideration drops three points in a quarter. That's worth investigating. But if several major competitors decline at the same time, the more important question may be what's happening in the category.
One wave can tell you where your brand stands at that moment, while multiple waves show whether a shift is temporary or developing into a pattern.
This is where brand tracking research becomes more valuable as it accumulates. Instead of evaluating each score separately, teams build historical context that help them interpret what they’re seeing.
A well-designed brand measurement framework gives you a consistent stream of brand health data. The next step is figuring out what deserves attention and what your team should do about it.
Brand metrics will move from wave to wave. Before treating every increase or decrease as a trend, establish how your team will determine which changes deserve a closer look.
Start with the size and duration of the change, the sample behind it and how the metric has behaved historically. A sudden drop in consideration might mean you should monitor the change. A decline that continues across several waves or appears alongside changes in other measures is worth investigating further.
This creates a shared standard for interpreting the tracker instead of forcing teams to debate every fluctuation as it happens.
Once you've identified a movement, look at what happened around it. A new advertising campaign, product innovation, a competitor launch, a major promotion or pricing change or even a broader cultural shift can all provide context for changes in brand health.
Brand tracking tells you what changed and when. Reviewing that movement alongside campaign activity, innovation research and other business data can help you investigate what may be behind it.
This is where connected data becomes especially useful. PepsiCo, for example, uses Zappi to bring research together across markets and over time. Stephan Gans, SVP Chief Consumer Insights and Analytics Officer at PepsiCo, explains the value this way: “We are getting smarter and smarter over time by connecting all our data across brands, countries, categories, on and off platform to give us meta learnings.”
"We partnered with Zappi to build research solutions our teams could use consistently across the world to develop more effective content and go to market with more powerful innovation. The solutions were designed to enable speed, simplification and better decision making. And importantly, through consistency and owning our own data, we now have greater consumer centricity. We are getting smarter and smarter over time by connecting all our data across brands, countries, categories, on and off platform to give us meta learnings. "
- Stephan Gans, SVP Chief Consumer insights and Analytics Officer, PepsiCo
The more historical context you have, the easier it becomes to ask better questions about why brand health is changing.
Brand tracking is most useful when the findings reach the teams making brand and marketing decisions. Give stakeholders a shared view of the most important measures and draw their attention to changes that matter.
That doesn't mean showing everyone every available metric. Different teams may need different levels of detail, but they should be working from the same underlying evidence.
This is where Zappi's Brand Health Tracker fits into the process. It gives brand, marketing and insights teams an ongoing view of brand health, competitors and historical performance in one place, making it easier to explore changes and build on what they've already learned.
Even small changes to your brand tracking methodology can make results harder to interpret over time. Before launching your tracker, watch for these common study design mistakes:
A good brand tracking study becomes more valuable as it accumulates data. By keeping the methodology focused and consistent, your team has a stronger foundation for decision-making.
Designing brand tracking studies takes discipline. The methodology needs to stay consistent enough that when something changes, your team can trust the signal and investigate what’s behind it.
Knowing how to track brand health also means knowing what not to track. Focus on the measures that help your team make decisions, then build enough history to understand what change looks like for your brand.