Build a health score your data can back up.
Most health scores are a gut feeling wearing a number. Weight the signals that actually predict retention, then score a live account and watch the model work — and notice which signals you can truly measure versus the ones you’re guessing at.
What actually predicts a renewal?
Set how much each signal matters. Weights normalise to 100% automatically — the relative sizes are what count.
Now rate one real customer, 0–100 per signal.
Use an account you know. Where you have to guess instead of pull the number, that’s a data gap the score is quietly hiding.
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Each bar is that signal’s contribution = its weight × the account’s value. The biggest bar is what’s holding the score up; the smallest is your first intervention.
The catch: —
A health score is only as honest as the data feeding it.
If “executive engagement” or “usage” isn’t a real, current field, that weight is fiction — and the score launders a guess into a number people trust. Whether your signals are actually captured and reliable is Data Foundation, the heaviest dimension in the Readiness Index. See how solid yours is.