Calibrate [CompanyName]’s lead scoring thresholds so that MQL volume, quality, and Sales Acceptance Rate align with pipeline targets in [Timeframe]. Use historical data from [CRMPlatform] to generate precision/recall curves across potential thresholds and incorporate sales disposition codes from [SalesOpsLeadName]. Optimise for target throughput of [PipelineTarget] while maintaining a minimum [SalesAcceptanceRate]. Define SLAs for MQL review and outreach by [RoleSales].
Output format:
Confusion Matrix Table at 3 candidate thresholds (Current, Aggressive, Conservative);
Threshold Recommendation with business trade-offs;
SLA Matrix (owner, action, time limit, breach escalation);
Feedback Loop Design detailing fields, cadence, and governance;
Change Log Template to track adjustments.
Include safeguards against gaming (e.g., channel caps, duplicate suppression) and specify how negative signals (unsubscribes, competitor emails) affect scores. Provide a 30-60-90 day monitoring plan with leading indicators (e.g., speed-to-lead, contactability) for [Region].