audience-analyze-search

Audience profiling from a plain-English brief works by breaking your description into defining signals, must-haves, and exclusions. The skill scores these discovered signals for relevance and rarity before materializing a validated person-only audience.

Signal discovery for customer segmentation works by parsing a market brief to identify defining behaviors, must-haves, and exclusions. Instead of selecting prebuilt lists, it scores candidate signals on freshness, breadth, and coverage to build a validated signal stack.

Audience analysis returns aggregate readouts, not individual person records. After materializing the person-only US audience from the chosen signal stack, it provides an aggregate report of market size and composition to ensure privacy.

Market profiling supports refining results with controlled pivots after building the audience. You can review the aggregate report of market size and composition, then apply pivots to adjust the signal stack and better understand who is in the market for your service.

Yes, you need remote Watt MCP access to perform audience analysis and scoring. The skill requires this connection to search, score, and assemble person-only US audiences using the discovered signal stack and return aggregate reports.

The best way to profile a market is to start with a plain-English brief describing the service and location, such as roofing near Nashville. The skill discovers defining signals, scores them for relevance and rarity, and produces an aggregate report of the resulting audience.