About BrandPulse
Built around a marketing problem, not a software feature.
BrandPulse is an independent product experiment built by a marketer to explore a simple question: can public brand conversation be made easier to understand without hiding the evidence or overstating what the data knows?
Try BrandPulseWhy it exists
Brand feedback is useful, but scattered.
Reviews, social posts, videos, news and community discussions can each reveal something important. Looking at them one by one makes recurring themes hard to see and gives individual comments too much weight.
BrandPulse brings available public conversations into one view, then helps users distinguish direct customer sentiment from the wider conversation surrounding a brand.
Product principles
Designed to make interpretation more trustworthy.
Evidence before certainty
Every score, theme and summary should be traceable to the public conversations behind it.
Context matters
Customer opinion is separated from news, creator coverage and general discussion so market attention is not mistaken for customer sentiment.
Coverage stays visible
Source availability, timeframe and evidence volume remain visible so readers can judge what the result does—and does not—represent.
AI assists judgement
AI helps classify relevance, sentiment and themes. Original sources remain available so readers can check the context before accepting the interpretation.
Small samples stay qualified
Low-volume evidence is labelled Developing or Directional rather than presented as a firm conclusion.
Mistakes stay inspectable
Original source links make incorrect matches and classifications easier to identify, report and correct.
Questions and feedback
Help shape what BrandPulse becomes.
Found an incorrect brand match or sentiment label? Have a source we should consider, or a use case BrandPulse should support? Send us the example and what you expected to see. We use specific cases to improve matching, analysis and coverage.