Gist: The post argues that intent data is only useful when combined with fit, stage, and engagement into explainable models. It uses customer examples to show model-driven prioritization can surface new accounts and improve pipeline and win rates.
Signal reason: Cites concrete outcomes including 29x opportunity likelihood, $18M pipeline, and 154% win-rate growth.
