video1.0<iframe src="https://www.loom.com/embed/2063c269c0914e26a7e31655d7e6c729" frameborder="0" width="1152" height="864" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8641152Loomhttps://www.loom.com8641152https://cdn.loom.com/sessions/thumbnails/2063c269c0914e26a7e31655d7e6c729-d0f5f41b55eb2f93.gif308.736This Loom explains a clay workflow to generate an explainable account priority score for a GTM team. It combines three signals into a weighted opportunity score: hiring for SDR, BDR, and Revops (45 percent), funding recency (30 percent), and whether the company already uses tools like Apollo, Smartlead, or Lemmelist (25 percent), with confidence flags for missing versus negative data. It also includes a do-not-cold-pitch check that forces the score to zero if the company already uses Instantly, overriding other signals. The author emphasizes that scores and recommendations trace back to real facts, with AI used only after rule-based logic to produce reasoning and an opener based strictly on provided facts.