MktPraxis
Interactive Textbook Module Syllabus

Sales Analytics: From Pipeline to Revenue

A practical guide to the metrics that drive B2B and professional selling — from pipeline coverage and win rates to lead scoring and forecast accuracy. Learn to calculate each metric, interpret it in sales context, and avoid the activity-outcome trap.

⏱️ ~54 min reading & interactives 📑 12 sections 🎓 Level: Core undergraduate 📐 Math: Interpret output 📚 Courses: Sales & CRM Analytics, B2B Marketing 🏷️ Topics: Customer metrics & lifetime value, Forecasting & time series
Full Interactive Chapter (Account Required) The complete chapter reading, embedded live mini-widgets, inline Check-Your-Understanding questions, and progress tracking are available to enrolled students and verified instructors.

Chapter Section Outline (12 Sections)

Topics and managerial frameworks covered in Sales Analytics: From Pipeline to Revenue:

  1. 1. Why Sales Metrics Matter
  2. 2. Pipeline & Funnel Metrics
  3. 3. Activity & Effort Metrics
  4. 4. Lead Scoring & Qualification
  5. 5. Win Rate & Deal Analysis
  6. 6. Sales Cycle & Velocity
  7. 7. Quota & Forecasting
  8. 8. Territory & Account Management
  9. 9. Rep Performance & Coaching
  10. 10. The Activity-Outcome Trap
  11. 11. Case Application — SignalPath Dashboard Review
  12. 12. Formula Reference Card

Interactive Concept Mini-Widgets Embedded in This Chapter (4)

Students manipulate these interactive visual simulations directly inside the chapter reading before answering gated check-in questions:

Pipeline Coverage Calculator

Users enter remaining quota, pipeline value, win rate, sales cycle, days remaining and open opportunities. Outputs coverage ratio, required coverage, pipeline gap, pipeline throughput, and a traffic-light health indicator.

Lead Score Simulator

Users adjust weight sliders for 6 lead attributes on 200 synthetic leads. See the score distribution, and the yield and coverage at a threshold set as a share of the maximum possible points.

Win Rate Analyzer

Users enter won, lost, open and stalled deal counts for 3 segments. Calculates win rate (of closed deals) and stall rate (of open deals), and renders stacked horizontal bars.

Forecast Accuracy Tracker

Users enter 4 quarters of forecast and actual values. Calculates MAPE, bias (with how many quarters missed high), and a trend, and renders a line chart of both series.

Paired Browser-Based Analytics Calculators (3)

This chapter connects directly to these full MktPraxis analytical apps (with pre-loaded business case scenarios, CSV upload, and reproducible Python export):

💼 CRM Sandbox

A working B2B sales CRM for a team of four reps. Diagnose the pipeline, tell a real performance gap from luck, triage a rep's week, and build a coaching plan the records support.

🎯 Logistic Regression

Predict binary outcomes like Churn vs. Retain.

Pre-loaded Business Scenarios: Influencer Posts: What Makes a Story Drive a Sale? · B2B Email Sequences: Predicting Demo Bookings · Digital Promo A/B Test: High Incentive vs Standard Offer · Subscription Churn: Predicting Customer Attrition · Event Marketing: Predicting Registration Conversion · RFM-Based Purchase Prediction: Who Buys Next? · SignalPath MarTech: Which Leads Actually Close? · Will They Come Back? Predicting Season-Membership Renewal

🗺️ Sales Territory Optimizer

Optimize sales territory assignments using geospatial analysis and workload balancing.