You have a brand tracker, a long list of questions and a leadership team that wants one answer: is the brand getting stronger or weaker? Brand health tracking is how you give it, but only if you choose a small set of metrics, define each one precisely and report change with a clear sense of what is noise. This article is a practical companion to our guide on what brand tracking is, focused on the metrics themselves.
Key takeaways
- Brand health tracking groups its metrics into four areas: the funnel, perception, advocacy and salience.
- Define every metric as an exact question, base and scale, and never change it between waves.
- Report five or six headline metrics to leadership and keep the rest as diagnostics.
- Flag a change only when it clears sampling error, not because the number moved.
- Treat a composite brand health index as a summary, never as a replacement for the metrics.
What are the main brand health tracking metrics?
Most brand health metrics fall into four groups. Each group answers a different question about the brand, so a tracker needs at least one metric from each.
The funnel: do people know, consider and choose us?
- Unaided awareness: the share who name the brand when asked about the category with no prompt. Example: “When you think of running shoes, which brands come to mind?”
- Aided awareness: the share who recognize the brand from a list. Example: “Which of these brands have you heard of?”
- Consideration: the share who would consider the brand next time they buy. Example: “Which of these would you consider buying?”
- Preference: the share who pick the brand first from the ones they would consider.
- Purchase: the share who bought the brand in a set period, such as the past three months.
- Loyalty: the share of recent buyers who say they would buy it again.
For more on the first rung, see our guide to brand awareness tracking.
Perception: what do people believe about us?
Perception metrics capture brand image. Ask respondents to rate each brand on attributes such as quality, value for money and trust, usually on a 5-point agreement scale, and report the top-two-box share (those who answer 4 or 5). Choose attributes that matter in your category.
Advocacy: would people recommend us?
Net Promoter Score asks how likely someone is to recommend the brand on a 0 to 10 scale. It is the percentage of promoters (9 or 10) minus the percentage of detractors (0 to 6). Our guide to Net Promoter Score covers the method.
Salience: do we come to mind when it counts?
Salience is how readily the brand comes to mind in a buying situation. Measure it by asking which brands people think of in specific situations or for specific needs, then count how often yours appears. Unaided awareness shows whether people know the brand. Salience shows whether it surfaces at the moment of choice.
The exact wording for all of these is in our guide to brand tracking survey questions.
Which brand health tracking metrics should you report to leadership?
Leaders need a short view of brand health tracking. Diagnostics are for the research team, to explain why a headline moved.
| Report to leadership | Keep as diagnostics |
|---|---|
| Aided awareness | Unaided awareness by segment and region |
| Consideration | Individual image attributes |
| Preference or purchase | Reasons for rejection |
| Trust or quality (one perception metric) | Channel and media recall |
| Net Promoter Score | Loyalty by customer type |
Pick the headline set from the decision your leaders face. A challenger building recognition cares most about awareness and consideration. A mature brand defending share cares more about preference, loyalty and advocacy.
How do you read a brand health scorecard?
Here is a worked example. The numbers are illustrative. Three brands are tracked across two waves, each wave with 1,000 respondents, and each metric is a percentage of all respondents.
| Brand | Metric | Wave 1 | Wave 2 | Change (points) | Significant at 95%? |
|---|---|---|---|---|---|
| Brand A | Aided awareness | 62% | 64% | +2 | No |
| Brand A | Consideration | 34% | 38% | +4 | No |
| Brand A | Trust (top-2 box) | 41% | 40% | -1 | No |
| Brand B | Aided awareness | 55% | 52% | -3 | No |
| Brand B | Consideration | 29% | 23% | -6 | Yes |
| Brand B | Trust (top-2 box) | 38% | 39% | +1 | No |
| Brand C | Aided awareness | 30% | 36% | +6 | Yes |
| Brand C | Consideration | 12% | 13% | +1 | No |
| Brand C | Trust (top-2 box) | 22% | 22% | 0 | No |
The significance flag comes from a two-proportion z-test. For Brand B consideration, the pooled share is (29 + 23) / 2 = 26%, so the standard error of the difference is the square root of 0.26 × 0.74 × (2 / 1,000), which is 1.96 points. The change of -6 points gives z = -6 / 1.96 = -3.06, well beyond the 1.96 needed at the 95% level.
Brand A consideration is a closer call. Its +4 points gives z = 1.86, just under the threshold, so watch it rather than announce it. With 1,000 respondents per wave, about 4 points is the smallest change that registers for mid-range percentages. Our guide to statistical significance explains the test, and the same logic applies to sampling error.
The story is clear. Brand B has a consideration problem even though awareness barely moved, so diagnostics should ask why. Brand C has grown awareness but not yet consideration.
Should you use a composite brand health index?
A composite index combines several metrics into one score, usually with weights. It is easy to chart, and it also hides things.
Suppose a team weights aided awareness 30%, consideration 40% and trust 30%. Brand B’s index goes from 39.5 in wave 1 to 36.5 in wave 2, a fall of 3.0 points. The decline is real, but the index spreads a 6-point consideration drop across three metrics and makes it look modest.
If you use an index, keep these rules.
- Publish the weights and the reason for them.
- Show the components beside the index, every time.
- Flag changes in the components first, then in the index.
- Restate the history if you ever change the weights.
How do you track brand health across waves and markets?
Comparability is what makes a tracker work. Keep question wording, scale, base, sample design and weighting the same in every wave. In multi-country trackers, check each market against its own history before comparing markets. Our guide to global brand tracking covers that case.
Once the scorecard is stable, the work is making it routine. You can track brand health and competitors continuously instead of rebuilding the scorecard by hand each wave. Crosstabs with significance testing let you flag changes by segment, and Pulse surfaces the movements that matter so they are not buried in a table. If you are comparing tools, see how to choose brand tracking software.
What are the common mistakes in brand health tracking?
- Tracking too many metrics. A scorecard with thirty lines gets skimmed. Choose a headline set.
- Reporting every movement. A 2-point change on 1,000 respondents is usually noise. Test it before you explain it.
- Changing questions between waves. Rewording a question breaks the trend. If you must change it, run both versions in parallel for one wave.
- Mixing bases. Consideration among all respondents and among those aware are different numbers. Label the base on every chart.
- Relying on the index. One blended score hides which part of the brand moved.
- Ignoring competitors. A flat number is good news if the category fell and bad news if rivals grew.
What should you do next?
Write down the five or six metrics your leadership team would act on, and for each one the exact question, base and scale. Then build a scorecard like the one above from your last two waves, flag what is significant, and look first at the movements that clear the bar. That one page is the start of brand health tracking people will read and act on.