
Even with a rich CRM and standard member engagement metrics, our client couldn’t pinpoint why their newest members (0–2 years) were failing to renew at the same rate as longer-tenured ones.
We trained predictive models and uncovered the key motivators of the particular segment. We then applied our analytical pipelines against those motivational drivers, layering in Client's CRM data to determine their highest impact interventions.
Based on the top motivator predicting churn behavior, Valuable, the organization projected retention of up to 6,500 additional at-risk members and shared new motivational insights with their board of directors to execute an intervention plan cohesively and effectively across the organization.
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