Brand Health
BrandPlus – Build a Better Brand
Do you know what really drives your brand’s success? Find out with BrandPlus.
Where are the best opportunities in your market? What’s driving it? How are you positioned within it? Is your brand getting stronger or weaker? These are questions that every brand manager asks. But getting to the answers isn’t always easy. That’s because many usage and attitude surveys don’t provide adequate context on the health of your brand.
BrandPlus goes further, enabling you to get the whole picture on your brand’s health, using measures that are not only more flexible than other approaches, but also more accurate. By combining derived importance with Shapley Value Regression techniques and powerful proprietary models, we’re able to give you a better view of where your brand is today, and where you should be investing resources tomorrow.
Measure Your Brand’s Health
The strongest brands are influential, unique and well known. And that’s what our Brand Attribute Measurement (BAM) model focuses on. By assessing your brand’s power, originality and profile, we can distill the essence of your brand health clearly and concisely. Exactly what you need for communicating with executives.
Our approach uses Shapley Value Regression to uncover the key drivers behind your brand’s performance, one of the industry’s most reliable analytical frameworks.* The result is a clearer, more accurate picture of how your brand is doing—and where it needs to improve.
Why Choose BrandPlus?
Get the Truth on Your Brand
We compare what people actually shop for with what they perceive about a brand, not just what they say they like or dislike. In other words, you get closer to the truth from a “derived” analysis that overlaps real behavior with attitude data.
Measure Without Restrictions
Other research tools force you to conform to a standard set of measures like value and popularity. Our BAM method calculates scores from any set of brand ratings—including your old brand trackers—so you can assess your brand performance across different time periods, markets and norms.
Get the Bigger Picture
You may know where your brand is today. But to gain a clear understanding of how it’s changed, you need to know where it was yesterday. Our unique BAM framework gives you the ability to benchmark your brand performance over time using normative data based on hundreds of past studies.
Let our BAM scores transform the insights you receive from brand tracking data. Read our case study to see how.
* Tang, J. & Weiner, J. (2004). Multi-collinearity in Customer Satisfaction Surveys. Proceedings of Sawtooth Software Conference, 2004, pp 83-90.






