Designing KPI Logic That Actually Reflects Behaviour (RFM & Engagement Models)
Introduction Many KPIs look precise but fail to reflect real customer behaviour. Customers are labelled “active” even if they interacted once months ago. High value customers are grouped with low engagement ones because totals look similar. Engagement scores increase even when behaviour is clearly declining. The issue isn’t calculation accuracy. It’s that KPI logic often doesn’t match how people actually behave . Why this designing matters KPIs shape decisions. They influence: who gets targeted where budget is allocated how performance is judged which customers are prioritised If KPI logic is misaligned with behaviour, teams optimise for the wrong outcomes. RFM and engagement models help anchor metrics in observable patterns , not abstract thresholds. Thinking in behaviour, not labels Behavioural KPIs work best when they answer simple questions: How recently did someone engage? How often do they engage? How meaningful is that engagement? RFM is ef...