Analyze sales pipeline and revenue forecasting

Analyze pipeline health, forecast accuracy, and GTM efficiency

SaaS revenue teams needing pipeline coverage, forecast bias, and GTM efficiency metrics in one view.

• · sales pipeline JSON (deals, stage, value, age_days)
• · historical forecast periods
• · GTM cost/customer metrics

• · pipeline coverage ratio
• · MAPE score
• · Magic Number / LTV:CAC / burn metrics
• · accuracy rating

• · Python scripts (pipeline_analyzer.py, forecast_accuracy_tracker.py, gtm_efficiency_calculator.py)

JSON input with required fields (quota, stages, average_cycle_days, deals)

• · Data missing required fields
• · MAPE calculation on small sample
• · invalid stage configuration

• · MAPE rating scale (Excellent/Good/Fair/Poor)
• · Shipley-aligned metrics
• · industry benchmarks quoted