Core Monetization Metrics

Foundation metrics for pricing and revenue calculation

Placement Price

The cost of a placement (Primary, Secondary, Quick Link)

Formula

User input

Used In

Pricing & Revenue CalculatorRevenue ForecastingEffective CPM (E-CPM)Revenue per 1,000 Subscribers (RP1K)Bundle OptimizationInventory Utilization

Subscribers

Total subscribers in the selected TLDR vertical

Formula

From media kit data

Used In

ImpressionsE-CPMRP1KVertical ComparisonAdvertiser Fit Score

Open Rate

Percentage of subscribers who open an issue

Formula

Opens ÷ Subscribers

Used In

ImpressionsE-CPMScenario ModelingBreakeven CTR

Impressions

Estimated views per placement

Formula

Subscribers × Open Rate

Used In

E-CPMBreakeven CTRAdvertiser FitRevenue Forecasting

Yield, CPM, and Efficiency Metrics

Measure monetization effectiveness and value delivery

Effective CPM (E-CPM)

True CPM based on actual impressions delivered

Formula

(Placement Price ÷ Impressions) × 1000

Used In

Yield EvaluationVertical ComparisonAdvertiser Fit ScoreRepeatability Score

Revenue per 1,000 Subscribers (RP1K)

Monetization efficiency relative to list size

Formula

(Placement Price ÷ Subscribers) × 1000

Used In

Vertical ComparisonPricing AnalysisBundling AnalysisRevenue Modeling

Breakeven CTR

CTR required for an advertiser to justify spend

Formula

Cost per Outcome ÷ Impressions (simplified)

Used In

Advertiser-facing ROI evaluationScenario PlanningFit Score (optional weight)

Forecasting and Scenario Planning

Model demand variability and revenue projections

Total Revenue Forecast

Projected revenue across selected placements

Formula

Σ (Placement Price × Placement Count)

Used In

Forecast ScenariosInventory UtilizationExecutive-Level Reporting

Scenario Multiplier

Adjustment factor for modeling demand and performance variability

Formula

Adjusted Revenue = Total Revenue × Multiplier

Modes

  • Conservative (0.85x)
  • Baseline (1.0x)
  • High-Intent (1.15x)

Used In

Scenario ModelingForecasting Dashboard

Inventory Utilization

Percentage of available placement inventory consumed

Formula

(Placements Sold ÷ Total Available) × 100

Used In

Resource PlanningPricing StrategyYield OptimizationAE Forecasting

Advertiser Fit and Repeatability

Assess audience alignment and long-term value

Advertiser Fit Score

Strength of match between advertiser type and vertical audience

Formula

Weighted attribute scoring model (0–100)

Inputs

Role compositionSeniority mixCompany sizeCategory alignment

Used In

Outbound PrioritizationVertical RecommendationRepeatability ScoreBundle Optimization

Repeatability Score

Likelihood an advertiser books again

Formula

Based on Fit Score, E-CPM, vertical/category match

Output

Low / Medium / High or numeric score

Used In

Revenue ForecastingAdvertiser TieringStrategic Planning

Category Presets

Pre-configured advertiser profiles (AI Startup, DevTools, Cybersecurity, Fintech, etc.)

Used In

Quick Setup WorkflowsFit Score CalculationPricing EstimationForecast Scenarios

GTM Operations and Capacity

Model team bandwidth and headcount requirements

AE Capacity

Total meetings or accounts an AE can handle per period

Formula

User input (meetings/week or similar)

Used In

AE UtilizationHeadcount ThresholdsWorkload Heatmap

AE Utilization

Percentage of AE capacity consumed based on demand

Formula

(Required Meetings ÷ AE Capacity) × 100

Used In

Headcount PlanningWorkload HeatmapOperational Strategy

Headcount Requirement

Number of AEs needed to meet demand

Formula

Required Capacity ÷ AE Capacity

Used In

Staffing PlanForecast ModelingScenario Analysis

AE Workload Heatmap

Color-coded utilization indicator

Thresholds

  • < 60%: Underutilized (Green)
  • 60–85%: Optimal (Yellow)
  • > 85%: Overcapacity (Red)

Used In

Capacity Planning DashboardLeadership ReportingOperational Strategy

Funnel Health Metrics

Track conversion quality and pipeline efficiency

MQL → SQL Conversion

Percentage of Marketing Qualified Leads that become Sales Qualified

Formula

SQLs ÷ MQLs

Used In

Funnel DiagnosticsCapacity ModelingScenario Analysis

SQL → Opportunity Conversion

Percentage of SQLs that become Opportunities

Formula

Opportunities ÷ SQLs

Used In

Pipeline Quality ChecksForecast Confidence ModelingAE Load Modeling

Opportunity → Booked Conversion

Win rate for opportunities

Formula

Wins ÷ Opportunities

Used In

Revenue ForecastRepeatability PredictionsAE Planning

Total Funnel Conversion

End-to-end conversion efficiency

Formula

Wins ÷ MQLs

Used In

End-to-End Funnel ViewScenario ModelingForecast Reliability

Analytical Backbone

This metric library defines the analytical backbone of the TLDR Revenue Engine Simulator. It establishes consistent logic, enables transparent forecasting, and creates shared alignment across pricing, GTM, partnerships, editorial, and executive decision-making.

Each metric is mapped to its functional use within the simulator to show how components interconnect into a coherent revenue system.