Know what the score measures before you act on it.
BRS™ is designed to make competitive brand relevance easier to compare and discuss. A useful score needs a clear definition, a consistent comparison and an honest explanation of what it does not establish.
Methodology version: 1.0 · Reviewed: pending analytics-owner publication date
The question BRS™ answers.
How competitively relevant is this brand within the market and competitor set being assessed?
BAM evaluates Presence, Interest, Connection and Sentiment using the inputs available for the agreed scope. The resulting 0-100 index is interpreted alongside its factor scores and supporting evidence.
Four factors, read together.
Presence describes how visibly the brand shows up in-market. Interest describes active attention and consideration. Connection describes meaningful engagement. Sentiment describes the direction and intensity of response. A strong overall position can coexist with a weaker individual factor, which is why the explanation matters as much as the headline score.
BRS™ is interpreted within a defined market, competitive set and period.
Comparison requires a defined context.
Every result belongs to a market, a competitive set and a period. Adding a new type of competitor can change the comparison and the normalized score. That change is not, by itself, evidence that the brand deteriorated over time.
A full-period score and a monthly score answer different questions. They must be labelled separately. Do not average scores across unrelated competitive sets or treat normalized index points as percentage points of market share.
Changing the competitive set changes the question being measured; it is not a time-series decline.
A repeatable measurement foundation.
BAM standardizes inputs and applies its measurement rules before interpretation. With the same validated inputs and the same model version, the measured result is repeatable. Source availability, corrections and model revisions can affect later results and must be considered when reviewing a trend.
AI supports interpretation, not invented certainty.
AI-assisted analysis helps examine patterns, summarize evidence and propose likely explanations. An interpretation is not the same as an observed fact. Recommendations should identify the evidence, relevant assumptions and the result that needs to be checked.
Connecting relevance to commercial performance.
BRS™ gives management a current competitive signal to use alongside sales, revenue, margin, customer acquisition and retention. It can help identify a question worth investigating before a team commits to an action.
Demonstrating that an action caused incremental growth requires additional evidence. Depending on the decision, that may include a baseline, transaction-linked measurement, comparable markets or a controlled test. BRS™ is not a substitute for those measures.
Questions to settle when an engagement begins.
Which brands and markets are in scope? What time period is covered? Which inputs are available? How often will outputs be delivered? What limits affect interpretation? Which business outcome will be used to assess the decision?
Need the technical detail?
Discuss your measurement, integration or governance requirements with the BAM team. We will identify the relevant documentation and the scope needed for your evaluation.