A partner health score is a composite metric — typically 0 to 100 — that aggregates multiple engagement, performance, and behavioral signals into a single indicator of a channel partner’s relationship health and predicted future performance. Health s…
A partner health score is a composite metric — typically 0 to 100 — that aggregates multiple engagement, performance, and behavioral signals into a single indicator of a channel partner’s relationship health and predicted future performance. Health scores combine leading indicators (portal engagement, training completion, marketing activity) with lagging indicators (revenue, deal volume) for at-a-glance assessment.
Channel managers typically oversee 50-100+ partners, making deep analysis of every partner impossible. A health score distills complex multi-signal data into a single actionable number. Partners with declining scores can be identified before they become inactive — disengagement follows a predictable 60-90 day pattern before becoming permanent. Early intervention recovers 40-60% of at-risk partners.
Login frequency, page views, content downloads, feature usage.
Registration volume, pipeline value, win rate, velocity trends.
Completion rates for required and optional modules.
Campaign adoption, co-marketing activity, MDF utilization.
Quarter-over-quarter and year-over-year trajectory.
Email open rates, event attendance, responsiveness.
Weight leading indicators more heavily than lagging indicators.
Set automated alerts for 15+ point drops in a month.
Use AI to calculate scores rather than static formulas.
Make scores visible in channel managers’ daily workflow.
Validate your model’s predictive accuracy and recalibrate.
xAmplify provides everything you need for partner health score — from automated workflows and a white-label partner portal to Oliver AI partner intelligence. Free for up to 10 partners.
6-10 signals including portal logins, deal registrations, training completion, marketing participation, MDF utilization, revenue trends, email engagement, and event attendance.
Performance measures outcomes (revenue). Health score predicts future outcomes by combining performance with engagement and behavioral signals.
Oliver AI uses machine learning analyzing portal engagement, deal activity, training, marketing participation, and communication responsiveness.