AI Built My Revenue Projections in 10 Minutes
About this episode
Jasper Ribbers discusses how to build a three-method revenue projection framework and automate it using Claude AI.
Most STR operators treat revenue projections like fortune-telling - last year's numbers plus a prayer. But when you're managing $1M+ in bookings, you need a system that accounts for market shifts, booking momentum, and realistic pricing decay. In this technical deep-dive, Jasper Ribbers walks through building a three-method projection framework from scratch, then shows how Claude AI can automate the entire process in under 15 minutes. Here's the problem: historical data ignores market changes, market seasonality ignores your specific performance, and forward-looking bookings require assumptions about conversion rates you probably don't have. Most operators pick one method, cross their fingers, and wonder why they miss their targets by 20%. Jasper demonstrates why using all three methods simultaneously creates a reality-tested range rather than a single-point guess, and how AI can flag discrepancies automatically. You will hear: - How to extrapolate annual revenue potential from just three months of data using market seasonality (divide monthly revenue by that month's typical % share of annual RevPAR) - Why "unbooked potential" in your PMS is a fantasy number (assumes 100%…
People in this episode
Guest: Jasper Ribbers
Topics covered
- revenue projections
- Airbnb hosting
- market analysis
- AI automation
- STR management
Keywords
- revenue projections
- Airbnb
- market shifts
- booking momentum
- pricing decay
- AI
- STR operators
Mentioned in this episode
Organizations: Claude AI
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