Account prioritization is facing its own reckoning. Marketing and RevOps leaders are being asked to defend target account lists with a level of specificity that “this is what we’ve always targeted” can no longer satisfy, and the accounts that don’t hold up under that scrutiny are quietly draining 30 to 50 percent of program budget market-wide. The instinct has been to fix this at the scoring layer: sharper models, more intent signals, tighter segmentation logic.

That instinct skips a step. Underneath most target lists sits an account hierarchy that’s more broken than teams realize, subsidiaries scattered as unrelated records, buying committees mapped by title alone, technographic accuracy that swings wildly between vendors with almost nobody checking which end of that range they’re getting. Layering a smarter model or another intent tool on top of that foundation doesn’t produce a more defensible list. It produces a more expensive guess, dressed up with better math.

The paper below argues that a defensible list depends on three layers holding together in sequence: a connected account hierarchy that reflects real buying autonomy, signal built from verified fit and first-party intent rather than purchased third-party inference, and a specific, name-able reason every account made the cut. Skip the first layer, and everything built on top of it, however sophisticated, inherits the gap.