Score the signals, do not drown in them

Once you are firing alerts on seats, storage, feature depth, premium attempts, and team growth, you will have more signals than a small team can act on. The fix is not fewer signals, it is a composite expansion score that rolls them into one number per account, weighted so the most predictive inputs carry the most influence.

A workable, evidence-backed weighting puts usage and capacity thresholds at thirty percent of the score, team growth at 25, feature signals at 20, engagement patterns at 15, and account health score as a ten percent modifier that can subtract points when a relationship is shaky (Saber). The health modifier is the part teams skip and regret: a high usage score on an account with an angry champion or an open critical ticket is a trap, and the negative weight stops you walking into it. Score the readiness and the relationship, never one without the other. The mechanics of building this kind of weighted model are the same ones in the lead scoring model play.

Then bind each band to a specific action with a clock attached, because a score is useless until it dictates a move. A score of 90 to 100 means immediate outreach inside 48 hours; 75 to 89 means schedule a conversation within two weeks; 60 to 74 means nurture with targeted content rather than a sales touch; below 60 means passive monitoring (Saber). The bands stop two failure modes at once: the team that chases every flicker and burns trust, and the team that lets a 95-score account sit untouched until renewal. The non-negotiable discipline is that the score is computed from real backend usage metrics on a schedule, never a hand-maintained spreadsheet that drifts the moment someone stops updating it. A model that depends on a human remembering to refresh it is a model that is already wrong.