Insights
Analysis on customer loyalty, churn prediction and the drivers that actually matter for retention and revenue growth in B2B.
Featured · NPS & Metrics · March 2026
Most B2B companies treat a high NPS as a sign that customers are safe. It isn’t. Net Promoter Score measures one thing: whether a customer would recommend you to someone else. In B2B, that’s a distraction.
A manufacturing company can score you a 9 and still switch suppliers at contract renewal. Churn is a decision driven by structural factors that NPS collapses into a single score and throws away. Driver modelling reveals where the risk actually sits.
Read article →Loyalty in B2B is a structural outcome shaped by several factors, each with a different weight. Understanding that structure is what makes loyalty manageable and intervention possible.
Satisfied customers leave. Satisfaction is backward-looking: it reflects whether expectations have been met. Loyalty is forward-looking. Conflating them is one of the most costly mistakes in B2B account management.
Most B2B companies know what a contract is worth. Very few know what a customer relationship is worth. CLV reframes the question and connects loyalty to revenue outcomes.
CX budgets are almost always set on instinct or inertia. Driver analysis gives commercial leaders a data-grounded basis for deciding where investment actually moves retention.
Success with loyalty driver analysis isn’t a report. It’s a decision framework that changes how commercial teams allocate attention, investment and accountability.
NPS was built for consumer markets. In B2B it measures the wrong thing, aggregates away the useful information and gives you no clear basis for action.
What does a loyalty driver analysis engagement actually involve? A walkthrough of the five-stage CLPS process from alignment and survey through to action roadmap.
A loyalty driver model identifies the factors that influence customer loyalty, measures their relative strength and maps the pathways through which they operate.