Comparing opportunity scoring models: rule-based versus predictive
Original analysis comparing rule-based lead scoring against predictive models across account types.
Rule-based scoring (assigning points for specific firmographic or behavioural signals) remains more transparent and easier to audit than predictive scoring models, which matters when sales needs to trust and act on the score without understanding the underlying algorithm.
Predictive models generally outperform rule-based scoring once there's enough historical conversion data to train them reliably — but underperform badly with sparse data, where a rule-based model built on domain expertise is often the more reliable choice.
The practical recommendation: start with a well-constructed rule-based model, and move to predictive scoring only once enough conversion history exists to validate it against the simpler model's performance.
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