Organizations drown in signals and starve for decisions. A practical taxonomy for classifying market signals by decision relevance — and for building the escalation paths that make monitoring pay for itself.
Market intelligence has quietly changed shape: from quarterly reports assembled by hand to continuous programs built on structured public-web data. Here's what that change actually looks like in practice.
Elasticity models trained on your own history answer a different question than the one you're asking. Why competitive context belongs in the model — and how to put it there honestly.
Search data is the largest honest survey ever fielded — if you read it correctly. Aggregate signals, seasonal ghosts, and the difference between interest and intent.
Quality isn't a cleanup step — it's a designed property with measurable gates. The validation framework we apply before any dataset leaves the building.
Collection at scale is a privilege the open web extends to well-behaved participants. The engineering and governance practices that let a collection program grow without becoming the problem it studies.
