TLDR Revenue Engine Simulator
Interactive modeling tool for pricing, forecasting, and GTM strategy
How to Use This Simulator
Select Your Context
Choose a TLDR vertical and advertiser category to establish your baseline audience and fit profile.
Model Revenue Scenarios
Adjust pricing, placement types, and scenario modes to see real-time impact on revenue and efficiency metrics.
Evaluate Capacity
Review funnel health and AE utilization to understand operational constraints and headcount needs.
Vertical Selection
Choose which TLDR newsletter vertical to model. Each vertical has distinct audience characteristics, reach, and engagement patterns.
Why it matters: Different verticals attract different advertiser profiles and command different CPMs. Understanding vertical-specific attributes is fundamental to accurate revenue modeling.
Vertical Selection
Choose a TLDR vertical to model revenue and audience fit
Select Vertical
Audience Profile
Role Composition
Company Size
Pricing & Revenue
Model revenue based on placement type, pricing, and volume. See immediate impact on efficiency metrics like E-CPM and RP1K.
Why it matters: Pricing decisions directly affect yield and monetization efficiency. These metrics help compare value across verticals and inform advertiser negotiations.
Pricing & Revenue Model
Configure placement type and pricing to calculate revenue metrics
Placement Configuration
Revenue Metrics
CPM Range Comparison
AI Strategic Insights
Get persona-specific strategic analysis of your pricing configuration
Advertiser Fit Analysis
Evaluate how well an advertiser's profile matches the selected vertical's audience across industry, role, seniority, and company size.
Why it matters: Better fit drives better performance, higher repeatability, and stronger long-term advertiser relationships. Fit scores help prioritize outbound efforts.
Advertiser Fit & Repeatability
Analyze how well advertiser types match vertical audiences
Select Advertiser Category
Fit Score Analysis
Industry Match
Repeatability Score
AI Strategic Insights
Get persona-specific analysis of advertiser fit and repeatability potential
Scenario Forecasting
Toggle between Conservative, Baseline, and High-Intent scenarios to model uncertainty in open rates, CTR, and demand.
Why it matters: Revenue forecasting requires accounting for variability. Scenario modeling provides range-based projections that support more confident planning.
Scenario Forecasting
Model different performance scenarios to understand revenue variability
Scenario Adjustments
Adjusted Metrics
Scenario Comparison
AI Strategic Insights
Get persona-specific strategic analysis of this scenario's implications
Funnel Health & AE Capacity
Analyze conversion rates across the MQL → SQL → Opportunity → Win funnel and model AE workload requirements.
Why it matters: Strong funnel metrics validate demand quality. AE capacity modeling ensures the team can handle projected volume without burnout or missed opportunities.
Funnel Health & AE Capacity
Monitor conversion flow and account executive workload
Funnel Flow
AE Capacity Analysis
AI Strategic Insights
Get persona-specific analysis of funnel health and capacity planning
Bundle Optimization
Explore cross-vertical packages that combine reach and audience diversity. Model pricing and lift from multi-newsletter deals.
Why it matters: Bundles increase deal size, reduce advertiser acquisition cost, and create upsell opportunities. They also improve inventory utilization.
Bundle Optimization
Evaluate cross-vertical packages for increased advertiser value
Select Bundle
Bundle Metrics
Bundle vs. Individual Comparison
Global Defaults
Adjust baseline assumptions for CTR, deal cycle length, and AE capacity. Advanced users can fine-tune model behavior here.
Why it matters: Different business contexts require different assumptions. Global defaults allow customization without rebuilding the model.
Global Defaults
Configure default assumptions for advanced modeling