General

Partner Scoring

Partner scoring assigns numerical values to partners based on their performance, engagement, and potential, similar to how lead scoring ranks prospects. It helps program managers prioritize resources and identify top performers.

Partner scoring is a framework for assigning numerical scores to partners based on a combination of performance metrics (revenue generated, deals closed, leads submitted), engagement indicators (portal logins, training completions, content downloads), and potential factors (market size, customer base overlap, strategic alignment).

The purpose of partner scoring is to segment the partner base into meaningful groups so that program managers can allocate limited resources effectively. High-scoring partners may receive dedicated support, premium commission rates, and co-marketing investments. Low-scoring partners may receive automated nurture sequences and self-serve resources.

Partner scores should be dynamic, recalculated regularly based on recent activity rather than treated as a static assignment. A partner who was inactive last quarter but suddenly submits three deal registrations this month should see their score update accordingly.

PartnerPulse includes an automated partner scoring engine that combines performance data, engagement signals, and configurable weighting to produce real-time partner scores. These scores drive automated tier assignments, resource allocation recommendations, and alerts for partners at risk of disengagement.

Score and segment partners in PartnerPulse

PartnerPulse provides everything you need to build, manage, and scale your partner program.

Score and segment partners in PartnerPulse