Brand Health Metrics: What to Track and How to Read Them

Brand health metrics are the measures that show how a defined audience knows, considers and feels about your brand compared with competitors. The core set is unaided awareness, aided awareness, consideration, preference, usage, brand attributes and advocacy, measured the same way each wave so that movement reflects the market and not the survey.

In our study of 118 brand tracking buyers, one tracker reported 98% of customers loved the brand for eight consecutive quarters. It cost $8 million a year and surveyed 42,000 people. Over the same two years, the brand lost market share every quarter.

Nothing was wrong with the sample or the questions. The tracker measured a trailing metric on a 5-point scale and had no way to say why anything moved. This guide covers what each brand health metric tells you, which ones move first, and how to add the reasons.

The core brand health metrics

As the brand tracking study says, "Consistency matters more than the specific list." Change the wording, the audience definition or the method between waves, and you can no longer tell market movement from measurement movement.

Aided vs unaided awareness

Unaided awareness asks people to name brands with no prompt. Aided awareness shows them the name or logo and asks whether they recognize it. The gap between the two shows how much of your awareness is recognition and how much is genuine recall.

Unaided awareness is the harder number to move. The brand tracking study describes it as "the hardest metric to move, and the most predictive of consideration."

Unaided questions also capture what people associate with you. In our apparel brand positioning research, when shoppers were asked which brands do quality best, Levi's was named most often (24 participants), followed by Patagonia (10) and Carhartt (9). They justified their picks with stories of clothes that had lasted, an association a rating scale would not capture.

Brand awareness measurement now has a new channel to watch. In our study of 100 CMOs, more started vendor research in an AI chat (22%) than in a search engine (16%), and the study recommends checking how the major assistants describe your company and category every month.

Brand consideration metrics and the funnel

Consideration and preference tell you whether awareness turns into business. Read them as a funnel, with conversion ratios between each stage, because the drop between stages shows where the problem is. High awareness with weak consideration is a different problem from low awareness with strong conversion. The first points to perception or relevance, the second to reach.

Advocacy, usually NPS or something like it, belongs alongside the funnel rather than at the top of the report. It reflects people who already use you, so it says little about why non-users never get to consideration.

Sentiment and brand attributes

Attributes and sentiment explain the funnel. A brand can hold awareness while the associations attached to it shift, and sentiment can move in both directions at once. In our Super Bowl ad testing study, 51% left the game with a better view of at least one brand, and 32% left with a worse view of one, citing privacy worries, an off-putting tone or a celebrity who didn't fit.

Closed attribute lists only measure associations someone thought to include. Open-ended questions coded afterward catch the rest.

Leading vs trailing brand health indicators

The metrics most trackers lead with are the slowest to move. The brand tracking study classes brand love, favorability and consideration as trailing indicators. They reflect everything customers have experienced over many months, so by the time they drop, the cause has been building for a long time and the fix is slow and expensive.

Slow metrics on a slow cadence compound the problem. 42% of buyers in the study described their tracker data as stale, 63% said the output wasn't actionable, and 51% said getting anything out of it took too much manual work. The study also found that open-ended themes tend to move before the structured KPIs do, which makes coded open-ends the closest thing most trackers have to a leading indicator.

Cadence and question design both affect this. Our guide on how to build a brand tracker covers continuous versus periodic tracking and how to word the questions.

Reading brand health tracking against a competitive set

A brand health metric with no comparison can't be interpreted. The brand tracking study gives the example of awareness falling three points. During a category-wide contraction that is a very different story from the same three points while a rival gains five. Define the competitive set before the first wave, keep it stable, and report every metric with the competitors alongside.

Adding the why to brand health metrics

The biggest gap in brand health tracking is explanation. In the brand tracking study, 81% of buyers said their tracker cannot explain why metrics change, and 93% wanted a deeper read on why. As one buyer said: "It's good to know it went up or down, but you don't know why."

The usual fix is a separate qual study after the metric moves, which arrives weeks after the decision it was meant to inform. A better approach asks the same people, in the same wave, to explain their answers. A respondent who rates a brand highly gets asked why, and the follow-up probes the evidence in their answer. Scales also overstate some metrics. In a separate study of 615 customers, the 5-point scale inflated brand love by over 5x, so asking people to describe the brand in their own words and coding the answers afterward gives a more honest read. Our article on qualitative vs quantitative research covers how to combine the two, and consumer insights covers turning the reasons into action.

Listen Pulse runs this kind of conversational tracker on Listen, with the KPIs you already report and AI-moderated follow-ups in the same wave, so each change in a score arrives with the reasons behind it.

FAQ

What are brand health metrics?

Brand health metrics track whether a defined audience knows a brand, would consider buying it and feels good about it, relative to competitors. The core set includes unaided and aided awareness, consideration, preference, usage, brand attributes and advocacy.

What is the difference between aided and unaided awareness?

Unaided awareness counts people who name your brand without a prompt. Aided awareness counts people who recognize it when shown the name or logo. Unaided awareness is harder to move and a better predictor of consideration.

How often should you measure brand health?

It depends on how fast your category moves. Quarterly waves can suit a stable category on an annual planning cycle, while continuous tracking suits fast-moving categories and brands that spend heavily on campaigns they want to evaluate.

How do you measure brand consideration?

Ask whether the person would actively consider buying the brand, and ask it the same way each wave. Read consideration as a conversion rate from awareness and compare it with the same rate for your main competitors.

Why do brand health metrics change?

Most trackers can't say. In Listen's study of 118 brand tracking buyers, 81% said their tracker cannot explain why metrics change. Adding open-ended follow-ups in the same wave links each score to the reason behind it.