TLDR Revenue Engine Simulator

Interactive modeling tool for pricing, forecasting, and GTM strategy.

Overview

The TLDR Revenue Engine Simulator is an interactive, end-to-end modeling system that reconstructs the economics of TLDR's multi-vertical newsletter portfolio. It functions as a "revenue cockpit" for GTM, partnerships, and strategy teams—centralizing pricing logic, vertical-level audience attributes, advertiser targeting, funnel performance, AE capacity modeling, bundle optimization, and AI-generated strategic interpretation.

Problem / Opportunity

Media companies with multi-vertical newsletters face complex pricing, forecasting, and audience-fit challenges. Revenue strategy often requires jumping between spreadsheets, media kits, historical data, and gut instinct. This creates pricing drift, misaligned advertiser expectations, underutilized inventory, AE bottlenecks, and inconsistent forecasting—ultimately limiting scalable revenue growth.

Key Use Cases

•Test placement types, pricing adjustments, and impressions to understand revenue and efficiency (E-CPM, RP1K)
•Identify which advertiser categories best fit each vertical and model their likelihood of repeat bookings
•Compare Conservative, Baseline, and High-Intent scenarios using variable open rate, CTR, demand, and price multipliers
•Detect AE bandwidth constraints and estimate required headcount based on funnel volume
•Evaluate cross-vertical packages, combined impressions, bundle pricing, and advertiser savings

Requirements / Features

•Vertical-level audience modeling with engagement metrics (open rate, CTR), role composition, seniority mix, company size, and industry breakdown
•Dynamic pricing adjustments across Primary, Secondary, and Quick Link placement types with real-time efficiency metrics
•Advertiser Fit Score modeling based on audience alignment with Repeatability Score for likelihood to rebook
•Scenario Forecasting with Conservative/Baseline/High-Intent modes using multipliers for open rate, CTR, demand, and price
•Funnel Health & AE Capacity dashboard showing MQL → SQL → Opp → Win conversion flow with utilization warnings
•Bundle Optimization for cross-vertical packages showing combined reach, pricing, and savings analysis
•AI-powered Strategic Insights tailored to CEO, Partnerships, Analyst, and Operations personas
•Comprehensive Metric Library with in-app glossary of GTM, media, revenue, and operational metrics

Data Flows + Integrations

•Custom JSON seed data drives all modeling logic with vertical-specific audience profiles and engagement patterns
•Real-time calculations for impressions, revenue, E-CPM, RP1K, and Breakeven CTR based on placement configuration
•Advertiser category matching algorithm generates fit scores based on industry, role, and performance expectations
•Scenario multipliers adjust base metrics to generate Conservative, Baseline, and High-Intent revenue projections
•Funnel conversion tracking calculates AE workload and utilization percentages with capacity warnings
•Bundle logic combines multiple verticals to calculate aggregated reach, blended pricing, and discount impact
•OpenAI/Vercel AI SDK generates persona-specific strategic analysis based on selected scenarios and configurations